{ From user vkoe, Model Claih at 8-syys-2011 12:30:01 PM } Softwareversion 4.2.3 { System Variables with non-default values: } Time := Sequence( -1, 110, 1 ) Description Time: Dynamic simulation periods are specified in Time's definition. This is usually a list of numbers or labels, typically in some unit of time (days, weeks, months, etc.). Use the ÒDynamic()Ó function in your variables to perform dynamic simulation. Samplesize := 1 Usetable := 0 {!40000|Att_previndexvalue Run: [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238,239,240,241,242,243,244,245,246,247,248,249,250,251,252,253,254,255,256,257,258,259,260,261,262,263,264,265,266,267,268,269,270,271,272,273,274,275,276,277,278,279,280,281,282,283,284,285,286,287,288,289,290,291,292,293,294,295,296,297,298,299,300,301,302,303,304,305,306,307,308,309,310,311,312,313,314,315,316,317,318,319,320,321,322,323,324,325,326,327,328,329,330,331,332,333,334,335,336,337,338,339,340,341,342,343,344,345,346,347,348,349,350,351,352,353,354,355,356,357,358,359,360,361,362,363,364,365,366,367,368,369,370,371,372,373,374,375,376,377,378,379,380,381,382,383,384,385,386,387,388,389,390,391,392,393,394,395,396,397,398,399,400,401,402,403,404,405,406,407,408,409,410,411,412,413,414,415,416,417,418,419,420,421,422,423,424,425,426,427,428,429,430,431,432,433,434,435,436,437,438,439,440,441,442,443,444,445,446,447,448,449,450,451,452,453,454,455,456,457,458,459,460,461,462,463,464,465,466,467,468,469,470,471,472,473,474,475,476,477,478,479,480,481,482,483,484,485,486,487,488,489,490,491,492,493,494,495,496,497,498,499,500,501,502,503,504,505,506,507,508,509,510,511,512,513,514,515,516,517,518,519,520,521,522,523,524,525,526,527,528,529,530,531,532,533,534,535,536,537,538,539,540,541,542,543,544,545,546,547,548,549,550,551,552,553,554,555,556,557,558,559,560,561,562,563,564,565,566,567,568,569,570,571,572,573,574,575,576,577,578,579,580,581,582,583,584,585,586,587,588,589,590,591,592,593,594,595,596,597,598,599,600,601,602,603,604,605,606,607,608,609,610,611,612,613,614,615,616,617,618,619,620,621,622,623,624,625,626,627,628,629,630,631,632,633,634,635,636,637,638,639,640,641,642,643,644,645,646,647,648,649,650,651,652,653,654,655,656,657,658,659,660,661,662,663,664,665,666,667,668,669,670,671,672,673,674,675,676,677,678,679,680,681,682,683,684,685,686,687,688,689,690,691,692,693,694,695,696,697,698,699,700,701,702,703,704,705,706,707,708,709,710,711,712,713,714,715,716,717,718,719,720,721,722,723,724,725,726,727,728,729,730,731,732,733,734,735,736,737,738,739,740,741,742,743,744,745,746,747,748,749,750,751,752,753,754,755,756,757,758,759,760,761,762,763,764,765,766,767,768,769,770,771,772,773,774,775,776,777,778,779,780,781,782,783,784,785,786,787,788,789,790,791,792,793,794,795,796,797,798,799,800,801,802,803,804,805,806,807,808,809,810,811,812,813,814,815,816,817,818,819,820,821,822,823,824,825,826,827,828,829,830,831,832,833,834,835,836,837,838,839,840,841,842,843,844,845,846,847,848,849,850,851,852,853,854,855,856,857,858,859,860,861,862,863,864,865,866,867,868,869,870,871,872,873,874,875,876,877,878,879,880,881,882,883,884,885,886,887,888,889,890,891,892,893,894,895,896,897,898,899,900,901,902,903,904,905,906,907,908,909,910,911,912,913,914,915,916,917,918,919,920,921,922,923,924,925,926,927,928,929,930,931,932,933,934,935,936,937,938,939,940,941,942,943,944,945,946,947,948,949,950,951,952,953,954,955,956,957,958,959,960,961,962,963,964,965,966,967,968,969,970,971,972,973,974,975,976,977,978,979,980,981,982,983,984,985,986,987,988,989,990,991,992,993,994,995,996,997,998,999,1000]} Typechecking := 0 Checking := 1 Graphwindows := 10 Showhier := 1 Saveoptions := 2 Savevalues := 0 Probindex := [0.025,0.05,0.25,0.5,0.75,0.95,0.975] Diststeps := 1 Naming := 0 Allwarnings := 0 Displayoutputs Null: , {!40000|Att_contlinestyle Graph_primary_valdim: 1} {!40000|Att_catlinestyle Graph_primary_valdim: 9} {!40000|Att_catlinestyle Graph_stats_valdim: 9} {!40000|Att_graphvaluerange Graph_pdf_valdim: 1,0,0,1,,,,0,1} {!40000|Att_contlinestyle Graph_pdf_valdim: 6} {!40000|Att_contlinestyle Graph_cdf_valdim: 1} Attribute Reference Attribute Log Askattribute Recursive,Function,Yes Askattribute Reference,Function,Yes Askattribute Log,Function,Yes Askattribute Reference,Module,Yes Askattribute Log,Module,Yes Askattribute Value,Variable,Yes Askattribute Reference,Variable,Yes Askattribute Log,Variable,Yes Model Claih Author: vkoe Date: 28. Novta 2008 10:15 Saveauthor: vkoe Savedate: 8. Septa 2011 12:30 Defaultsize: 48,24 Diagstate: 2,41,15,1648,768,17 Fontstyle: Arial, 13 Fileinfo: 0,Model Claih,2,2,0,0,N:\YMAL\Users\VirpiK\Claih_model.ANA Module Building_stock Title: Building stock Author: vkoe Date: 15. Janta 2009 6:55 Defaultsize: 48,24 Nodelocation: 200,152,1 Nodesize: 48,24 Diagstate: 2,83,110,796,571,17 Nodecolor: 52427,63897,65535 Index Building_type Title: Building type Definition: ['Detached house','Row house','Apartment building'] Nodelocation: 320,216,1 Nodesize: 48,12 {!40000|Att_previndexvalue: ['Detached house','Row house','Apartment building']} Variable Bs_current Title: Current building stock Description: ~ ~ Cbs_heat_sys*House_energy_efficie Definition: var a:=Cbs_age*Heat_system_by_year;~ a:=a/sum(a,const_year);~ a:=a*Cbs_heat_sys;~ a/sum(a,const_year);~ a*Bs_energy_effic_cur Nodelocation: 320,152,1 Nodesize: 48,28 Windstate: 2,147,104,590,431 Valuestate: 2,152,250,643,292,0,MIDM Reformval: [Const_year,Heat_system] Att__totalsindex: Index Building_type, Index Energy_class, Index Heat_system, Index Const_year {!40000|Att_resultslicestate: [Energy_class,3,Building_type,1,Heat_system,2,Const_year,6]} Variable Cbs_heat_sys Title: Current heat systems Units: m2 Description: Current building stock by heating type, floor area Definition: Table(Building_type,Heat_system)(~ 9.75642M,37.696145M,29.872312M,67.265322M,3.603349M,2.730025M,~ 15.113361M,7.525292M,200.314K,9.247771M,47.74K,146.664K,~ 77.47528M,9.553845M,347.294K,1.318741M,19.602K,549.336K~ ) Nodelocation: 200,96,1 Nodesize: 48,24 Windstate: 2,916,530,476,224 Defnstate: 2,468,482,692,303,0,MIDM Valuestate: 2,629,205,719,303,0,MIDM Nodecolor: 65535,52427,61166 Reformdef: [Building_type,Heat_system] Reformval: [Heat_system,Building_type] Att__totalsindex: Index Building_type, Index Heat_system {!40000|Att_resultslicestate: [Building_type,2,Heat_system,1]} {!40000|Att_editslicestate: [Heat_system,4,Area1,1,Building_type,1]} Index Energy_class Title: Energy class Definition: ['Traditional','Current standard','Low-energy','Passive house'] Nodelocation: 320,88,1 Nodesize: 48,12 {!40000|Att_previndexvalue: ['Traditional','Current standard','Low-energy','Passive house']} Index Heat_system Title: Heat system Definition: ['District','Light oil','Wood','Electricity','Geothermal','Other'] Nodelocation: 320,192,1 Nodesize: 48,12 Windstate: 2,98,90,476,224 {!40000|Att_previndexvalue: ['District','Light oil','Wood','Electricity','Geothermal','Other']} Variable Bs_energy_effic_cur Title: Current building stock energy efficiency Description: Fraction of current building stock in different energy efficiency classes by building heating type Definition: Table(Building_type,Energy_class,Const_year)(~ 1,1,1,1,1,1,0,0,0,~ 0,0,0,0,0,0,0,0,0,~ 0,0,0,0,0,0,0,0,0,~ 0,0,0,0,0,0,0,0,0,~ 1,1,1,1,1,1,0,0,0,~ 0,0,0,0,0,0,0,0,0,~ 0,0,0,0,0,0,0,0,0,~ 0,0,0,0,0,0,0,0,0,~ 1,1,1,1,1,1,0,0,0,~ 0,0,0,0,0,0,0,0,0,~ 0,0,0,0,0,0,0,0,0,~ 0,0,0,0,0,0,0,0,0~ ) Nodelocation: 320,48,1 Nodesize: 48,32 Defnstate: 2,372,116,661,303,0,MIDM Valuestate: 2,328,338,702,260,0,MIDM Nodecolor: 65535,52427,61166 Reformdef: [Energy_class,Const_year] Reformval: [Const_year,Energy_class] {!40000|Att_resultslicestate: [Building_type,1,Heating_system,2,Energy_class,1,Subsidies_for_energy,1]} {!40000|Att_editslicestate: [Building_type,1,Const_year,1,Energy_class,1]} Index Const_year Title: Const year Description: Construction year of a building Definition: ['<1960','1960','1970','1980','1990','2000','2010','2020','2030'] Nodelocation: 200,184,1 Nodesize: 48,12 Windstate: 2,101,85,476,224 {!40000|Att_previndexvalue: ['<1960','1960','1970','1980','1990','2000','2010','2020','2030']} Variable Cbs_age Title: Current building stock age Units: m2 Description: Current building stock by age, floor area Definition: Table(Building_type,Const_year)(~ 40.802288M,14.074485M,21.999879M,29.136341M,18.950781M,21.619076M,0,0,0,~ 971.421K,1.911846M,7.63526M,11.476249M,5.729734M,4.282367M,0,0,0,~ 16.235186M,15.83794M,23.525259M,12.025787M,10.825779M,9.934372M,0,0,0~ ) Nodelocation: 200,152,1 Nodesize: 48,24 Defnstate: 2,340,354,787,302,0,MIDM Valuestate: 2,900,302,787,324,0,MIDM Nodecolor: 65535,52427,61166 Reformdef: [Const_year,Building_type] Reformval: [Const_year,Building_type] Att__totalsindex: Index Building_type, Index Const_year Variable Heat_system_by_year Title: Heat system by year Units: - Description: Fraction of heat systems in new detached houses constructed in different decades (heat system selected when constructed)~ ~ Ei kovin hyvä lähestymistapa sellaisenaan, koska yliarvioi öljylämmityksen osuutta ja aliarvioi erityisesti puulämmityksen osuutta (ei huomioi siirtymistä öljylämmityksestä muihin vaihtoehtoihin, aliarvioi puulämmityksen osuutta vanhassa rakennuskannassa (?)). Definition: Table(Building_type,Heat_system,Const_year)(~ 0.04,0.04,0.06,0.08,0.08,0.13,0.16,0.16,0.16,~ 0.67,0.67,0.57,0.2,0.15,0.12,0.09,0.09,0.09,~ 0.04,0.04,0.14,0.16,0.07000000000000001,0.05,0.05,0.05,0.05,~ 0.25,0.25,0.23,0.53,0.66,0.59,0.54,0.54,0.54,~ 100u,100u,100u,0.01,0.01,0.09,0.14,0.14,0.14,~ 100u,100u,100u,0.02,0.03,0.02,0.02,0.02,0.02,~ 0.28,0.31,0.33,0.46,0.5600000000000001,0.59,0.59,0.59,0.59,~ 0.6,0.59,0.58,0.16,0.19,0.09,0.09,0.09,0.09,~ 0,0,0,0.01,0,0,0,0,0,~ 0.13,0.11,0.09,0.37,0.25,0.31,0.31,0.31,0.31,~ 100u,100u,100u,100u,100u,0.01,0.01,0.01,0.01,~ 100u,100u,100u,100u,100u,100u,100u,100u,100u,~ 0.72,0.72,0.72,0.91,0.96,0.98,0.98,0.98,0.98,~ 0.28,0.28,0.28,0.06,0.03,0.02,0.02,0.02,0.02,~ 1m,1m,1m,1m,1m,1m,1m,1m,1m,~ 0,0,0,0.03,0.01,0,0,0,0,~ 100u,100u,100u,100u,100u,100u,100u,100u,100u,~ 100u,100u,100u,0.02,0.03,0.02,0.02,0.02,0.02~ ) Nodelocation: 200,40,1 Nodesize: 48,24 Windstate: 2,98,90,476,430 Defnstate: 2,656,95,676,268,0,MIDM Valuestate: 2,473,161,767,263,0,MIDM Nodecolor: 65535,52427,61166 Reformdef: [Heat_system,Const_year] Reformval: [Const_year,Heat_system] Att__totalsindex: Index Heat_system, Index Const_year {!40000|Att_resultslicestate: [Building_type,1,Heat_system,1,Const_year,1]} {!40000|Att_editslicestate: [Building_type,2,Const_year,1,Heat_system,1]} Module Mo2 Author: vkoe Date: 8. Febta 2011 9:41 Defaultsize: 48,24 Nodelocation: 88,592,1 Nodesize: 48,24 Nodeinfo: 1,0,1,1,1,1,0,,0, Diagstate: 1,384,175,550,300,17 Index Efficiency_renovatio {!40000|Att_previndexvalue: ['Traditional','Current standard','Low-energy','Passive house']} Title: Efficiency renovation Definition: copyindex(Energy_class) Nodelocation: 96,88,1 Nodesize: 48,16 Variable Efficiency_renovati1 Title: Efficiency renovations Description: m2 renovated annually from one energy class to another Definition: Table(Energy_class,Efficiency_renovatio)(~ 0,50,0,0,~ 0,0,50,0,~ 0,0,0,50,~ 0,0,0,0~ ) Nodelocation: 96,48,1 Nodesize: 48,24 Defnstate: 2,344,354,595,319,0,MIDM Valuestate: 2,594,132,551,303,0,MIDM Nodecolor: 65535,52427,61166 Reformdef: [Efficiency_renovatio,Energy_class] Reformval: [Efficiency_renovatio,Energy_class] {!40000|Att_resultslicestate: [Subsidies_for_energy,1,Efficiency_renovatio,1,Energy_class,1]} {!40000|Att_editslicestate: [Subsidies_for_energy,1,Efficiency_renovatio,1,Energy_class,1]} Variable Energy_fractions_of_ Title: Energy fractions of new buildings Definition: Table(Building_type,Energy_class,Heat_system)(~ 0,0,0,0,0,0,~ 0,0,0,0,0,0,~ 0,0,0,0,0,0,~ 0,0,0,0,0,0,~ 0,0,0,0,0,0,~ 0,0,0,0,0,0,~ 0,0,0,0,0,0,~ 0,0,0,0,0,0,~ 0,0,0,0,0,0,~ 0,0,0,0,0,0,~ 0,0,0,0,0,0,~ 0,0,0,0,0,0~ ) Nodelocation: 336,112,1 Nodesize: 48,29 Defnstate: 2,345,404,648,303,0,MIDM Valuestate: 2,504,514,416,303,0,MIDM Nodecolor: 65535,52427,61166 Reformdef: [Energy_class,Heat_system] Reformval: [Energy_class,Heat_system] Variable Future_building_stoc Title: Future building stock Definition: var a:= Bs_current;~ var b:= sum(Efficiency_renovati1,Energy_class)[Efficiency_renovatio=Energy_class];~ a:= a +b*a/sum(a,Heat_system);~ b:= sum(Efficiency_renovati1,Efficiency_renovatio);~ a:= a -b*a/sum(a,Heat_system);~ ~ b:= sum(Heating_renovations,Heat_system)[Heating_renovation=Heat_system];~ a:= a +b*a/sum(a,Energy_class);~ b:= sum(Heating_renovations,Heating_renovation);~ a:= a -b*a/sum(a,Energy_class);~ ~ a +New_buildings*Energy_fractions_of_ Nodelocation: 224,48,1 Nodesize: 48,24 Windstate: 2,117,88,574,521 Valuestate: 2,141,350,758,303,0,MIDM Reformval: [Heat_system,Energy_class] Att__totalsindex: Index Energy_class, Index Heat_system {!40000|Att_resultslicestate: [Building_type,2,Const_year,3,Energy_class,1,Heat_system,1]} Variable Heating_renovations Title: Heating renovations Description: m2 renovated annually from one heating system to another Definition: Table(Heat_system,Heating_renovation)(~ 0,0,0,0,0,0,~ 0,0,0,0,0,0,~ 0,0,0,0,0,0,~ 0,0,0,0,0,0,~ 0,0,0,0,0,0,~ 0,0,0,0,0,0~ ) Nodelocation: 96,136,1 Nodesize: 48,24 Defnstate: 2,88,98,646,303,0,MIDM Valuestate: 2,648,67,505,318,0,MIDM Nodecolor: 65535,52427,61166 Reformdef: [Heating_renovation,Heat_system] Reformval: [Heating_renovation,Heat_system] {!40000|Att_editslicestate: [Decision_on_heat_pro,2,Building_type,1,Heating_renovation,1,Heating_system,1]} Index Heating_renovation {!40000|Att_previndexvalue: ['District','Light oil','Wood','Electricity','Geothermal','Other']} Title: Heating renovation Definition: Copyindex(Heat_system) Nodelocation: 96,176,1 Nodesize: 48,16 Variable New_buildings Title: New buildings Units: m2 Definition: Table(Building_type,Heat_system)(~ 0,0,0,0,0,0,~ 0,0,0,0,0,0,~ 0,0,0,0,0,0~ ) Nodelocation: 336,48,1 Nodesize: 48,24 Defnstate: 2,248,258,607,303,0,MIDM Valuestate: 2,488,498,416,303,0,MIDM Nodecolor: 65535,52427,61166 Reformdef: [Heat_system,Building_type] Reformval: [Building_type] {!40000|Att_editslicestate: [Building_type,1,Decision_on_heat_pro,2,Area1,1,Heating_system,1]} Close Mo2 Objective Bs_devel Title: Building stock development Definition: Bs_current-Bs_loss+Bs_new Nodelocation: 320,288,1 Nodesize: 48,28 Defnstate: 2,716,306,416,303,0,MIDM Valuestate: 2,118,366,785,303,0,MIDM Reformval: [Const_year,Heat_system] Att__totalsindex: Index Building_type, Index Energy_class, Index Heat_system, Index Const_year {!40000|Att_resultslicestate: [Building_type,0,Energy_class,0,Fu_period_claih,2,Heat_system,1,Const_year,1]} Variable New_build Title: Annual new buildings Units: m2/a Description: Uudisrakentaminen korvaa poistuman. Lisäksi asumisväljyys kasvaa nykyisestä 39 m2/hlö ollen vuonna 2050 n. 50 m2/hlö. Oletus on, että asumisväljyys kasvaa lineaarisesti, eli n. 0.275 m2/hlö vuosittain. Asukasmäärän muutoksia ei oteta tässä nyt huomioon.~ Definition: Building_stock_loss+sum(Bs_current, const_year, energy_class, heat_system)*0.007 Nodelocation: 552,288,1 Nodesize: 48,24 Windstate: 2,61,86,476,224 Valuestate: 2,413,177,416,303,0,MIDM Nodecolor: 65535,52427,61166 Variable Building_stock_loss Title: Annual building stock loss Units: m2/year Description: Vuosittainen poistuma on n. 0.3% koko rakennuskannasta vuosien 2010-2019 välillä. Poistuman voidaan olettaa kohdistuvan yli 50 vuotta vanhoihin rakennuksiin. Definition: sum(Bs_current, const_year, energy_class, heat_system)*0.003 Nodelocation: 88,288,1 Nodesize: 48,24 Windstate: 2,422,466,476,224 Valuestate: 2,247,191,416,303,0,MIDM Nodecolor: 65535,52427,61166 Reformval: [Heat_system,Building_type] Att__totalsindex: Index Building_type Variable Building_stock_loss1 Title: Building stock loss fraction Definition: Table(Energy_class,Const_year,Fu_period)(~ 0,1,2,2.5,3,3+(1/3),3+(1/3)+(1/4),~ 0,0,0,0.5,1,1+(1/3),1+(1/3)+(1/4),~ 0,0,0,0,0,(1/3),(1/3)+(1/4),~ 0,0,0,0,0,0,1/4,~ 0,0,0,0,0,0,0,~ 0,0,0,0,0,0,0,~ 0,0,0,0,0,0,0,~ 0,0,0,0,0,0,0,~ 0,0,0,0,0,0,0,~ 0,0,0,0,0,0,0,~ 0,0,0,0,0,0,0,~ 0,0,0,0,0,0,0,~ 0,0,0,0,0,0,0,~ 0,0,0,0,0,0,0,~ 0,0,0,0,0,0,0,~ 0,0,0,0,0,0,0,~ 0,0,0,0,0,0,0,~ 0,0,0,0,0,0,0,~ 0,0,0,0,0,0,0,~ 0,0,0,0,0,0,0,~ 0,0,0,0,0,0,0,~ 0,0,0,0,0,0,0,~ 0,0,0,0,0,0,0,~ 0,0,0,0,0,0,0,~ 0,0,0,0,0,0,0,~ 0,0,0,0,0,0,0,~ 0,0,0,0,0,0,0,~ 0,0,0,0,0,0,0,~ 0,0,0,0,0,0,0,~ 0,0,0,0,0,0,0,~ 0,0,0,0,0,0,0,~ 0,0,0,0,0,0,0,~ 0,0,0,0,0,0,0,~ 0,0,0,0,0,0,0,~ 0,0,0,0,0,0,0,~ 0,0,0,0,0,0,0~ ) Nodelocation: 88,352,1 Nodesize: 48,24 Defnstate: 2,244,57,648,303,0,MIDM Valuestate: 2,409,120,732,303,0,MIDM Nodecolor: 65535,52427,61166 Reformdef: [Fu_period,Const_year] Reformval: [Const_year] Att__totalsindex: Index Const_year {!40000|Att_editslicestate: [Energy_class,1,Const_year,1]} Variable Bs_loss Title: Building stock loss Definition: var a:=Bs_current;~ var b:=sum(a, heat_system);~ b:= if b = 0 then 1 else b;~ b:=a/b;~ ~ Building_stock_loss1*b*Building_stock_loss*5 Nodelocation: 200,288,1 Nodesize: 48,24 Valuestate: 2,117,223,589,334,0,MIDM Reformval: [Heat_system,Const_year] Att__totalsindex: Index Heat_system, Index Const_year {!40000|Att_resultslicestate: [Building_type,1,Energy_class,1,Fu_period,6,Const_year,1,Heat_system,1]} Variable New_building_energy Title: New building heat fraction Definition: (Bs_current[Const_year='2000',energy_class='Traditional'])/sum((Bs_current[Const_year='2000',energy_class='Traditional']),heat_system) Nodelocation: 552,352,1 Nodesize: 48,24 Windstate: 2,305,250,476,224 Defnstate: 2,40,100,1062,303,0,MIDM Valuestate: 2,88,98,706,303,0,MIDM Nodecolor: 65535,52427,61166 Reformdef: [Const_year] Reformval: [Heat_system,Building_type] {!40000|Att_editslicestate: [Const_year,7,Building_type,2,Energy_class,1,Heat_system,1]} Variable New_building_energy_ Title: New building energy fraction Definition: Table(Energy_class,Const_year)(~ 0,0,0,0,0,0,0,0,0,~ 0,0,0,0,0,0,1,1,1,~ 0,0,0,0,0,0,0,0,0,~ 0,0,0,0,0,0,0,0,0~ ) Nodelocation: 552,408,1 Nodesize: 48,24 Defnstate: 2,120,130,765,303,0,MIDM Valuestate: 2,120,130,789,303,0,MIDM Nodecolor: 65535,52427,61166 Reformdef: [Energy_class,Const_year] Reformval: [Energy_class,Const_year] Variable Bs_new Title: Building stock new Definition: New_build*5*New_building_energy*New_building_energy_*Help1 Nodelocation: 440,288,1 Nodesize: 48,24 Valuestate: 2,138,244,809,303,0,MIDM Reformval: [Const_year,Heat_system] Att__totalsindex: Index Heat_system {!40000|Att_resultslicestate: [Building_type,1,Energy_class,2,Fu_period,7,Heat_system,1,Const_year,1]} Variable Help1 Title: help Definition: Table(Const_year,Fu_period)(~ 0,0,0,0,0,0,0,~ 0,0,0,0,0,0,0,~ 0,0,0,0,0,0,0,~ 0,0,0,0,0,0,0,~ 0,0,0,0,0,0,0,~ 0,0,0,0,0,0,0,~ 0,1,2,2,2,2,2,~ 0,0,0,1,2,2,2,~ 0,0,0,0,0,1,2~ ) Nodelocation: 656,288,1 Nodesize: 48,24 Nodeinfo: 1,1,1,1,1,1,0,,0, Defnstate: 2,217,227,692,303,0,MIDM Reformdef: [Fu_period,Const_year] Variable Heat_system_renovati Title: Heat system renovations Definition: 0 Nodelocation: 320,352,1 Nodesize: 48,24 Nodecolor: 65535,52427,61166 Variable Energy_efficiency_re Title: Energy efficiency renovations Definition: 0 Nodelocation: 320,408,1 Nodesize: 48,24 Nodecolor: 65535,52427,61166 Close Building_stock Decision Dec_build_heat Title: Building heating system Definition: ['BAU'] Nodelocation: 200,48,1 Nodesize: 48,28 Decision Dec_dh_prod Title: District heat production Definition: ['BAU'] Nodelocation: 440,48,1 Nodesize: 48,28 Decision Dec_build_ef Title: Building energy efficiency Definition: ['BAU'] Nodelocation: 320,48,1 Nodesize: 48,28 Windstate: 2,102,90,476,224 Variable Pm2_5_emis_from_heat Title: PM2.5 emission Units: mg/a Description: 1 kWh = 3.6 MJ~ ~ Definition: sum(Pm_emf*(Total_heat_purchase*3.6)*Pm_source_type, heat_system)~ ~ Nodelocation: 312,352,1 Nodesize: 48,24 Windstate: 2,177,225,476,224 Valuestate: 2,93,274,851,246,0,MIDM Reformval: [Pm_source] {!40000|Att_resultslicestate: [Heat_system,3,Pm_source,1,Fu_period,1]} Variable Exposure_pm Title: Exposure to outdoor air PM2.5 Units: ug/m3 Definition: (Pm2_5_emis_from_heat*If_source_categories)/(sum(pop_data,age,sex)*20*365)*1000 Nodelocation: 312,440,1 Nodesize: 48,28 Nodeinfo: 1,1,1,1,1,1,0,,0, Windstate: 2,259,64,520,224 Defnstate: 2,181,415,738,303,0,MIDM Valuestate: 2,260,210,676,303,0,MIDM Reformval: [Pm_source] {!40000|Att_resultslicestate: [Energy_class,1,Pm_source,1]} Module Costs Title: Costs Author: vkoe Date: 25. Janta 2011 13:39 Defaultsize: 48,24 Nodelocation: 552,224,1 Nodesize: 48,24 Diagstate: 2,20,49,429,338,17 Nodecolor: 52427,63897,65535 Index Decis__maker {!40000|Att_previndexvalue: ['Citizen','Society']} Title: Decis. maker Definition: ['Citizen','Society'] Nodelocation: 112,160,1 Nodesize: 48,12 Module Household_heating_co Title: Cost from household heating Author: vkoe Date: 15. Janta 2009 6:55 Defaultsize: 48,24 Nodelocation: 112,112,1 Nodesize: 48,29 Nodeinfo: 1,1,1,1,1,1,0,,0, Diagstate: 1,153,62,646,476,17 Variable Costs_from_energy_pr Title: Cost from district heating infrastructure Definition: 0 Nodelocation: 456,96,1 Nodesize: 48,32 Variable Cost_heat_renov Title: Cost of heating renovation Units: e Definition: Cost_of_new_heat__s+Value_of_old_heat__s Nodelocation: 320,296,1 Nodesize: 48,24 Defnstate: 2,129,535,669,303,0,MIDM Valuestate: 2,88,98,665,303,0,MIDM Nodecolor: 19661,48336,65535 Reformdef: [Heat_system,Heating_renovation] Reformval: [Heat_system,Heating_renovation] {!40000|Att_resultslicestate: [Building_type,2,Heating_renovation,1,Heating_system,1]} Variable Costs_from_energy_co Title: Cost from household heating Units: e/m2 Definition: {Operating cost:}~ var a:= Q_heat_purchase*Energy_price*Fu_time;~ ~ {Investment cost:}~ var b:= (Cost_heat_renov+Cost_effic_renov)/Size_single_family_h/Fu_time;~ ~ a+b Nodelocation: 456,296,1 Nodesize: 48,24 Windstate: 2,430,168,476,313 Valuestate: 2,450,197,582,378,0,MIDM Reformval: [Efficiency_renovatio,Heat_system] {!40000|Att_resultslicestate: [Building_type,1,Energy_class,2,Citizen__household_h,2,Heating_system,2,Efficiency_renovatio,2]} Variable Energy_price Title: Energy price Units: e/kWh Definition: Table(Heat_system)(~ 0.04670000000000001,0.06800000000000001,0.023,0,0.077,0) Nodelocation: 456,224,1 Nodesize: 48,24 Windstate: 2,102,90,476,224 Defnstate: 2,344,354,416,303,0,MIDM Valuestate: 2,472,482,416,303,0,MIDM Nodecolor: 65535,52427,61166 Variable Cost_effic_renov Title: Cost of energy effic. renovation Units: e Definition: Table(Efficiency_renovatio,Energy_class)(~ 0,0,0,0,~ 100,0,0,0,~ 200,100,0,0,~ 300,200,100,0~ ) Nodelocation: 320,352,1 Nodesize: 48,23 Defnstate: 2,440,450,591,204,0,MIDM Valuestate: 2,408,418,562,303,0,MIDM Nodecolor: 65535,52427,61166 Reformdef: [Energy_class,Efficiency_renovatio] Reformval: [Efficiency_renovatio,Energy_class] Variable Size_single_family_h Title: Building size Units: m2 Definition: 120 Nodelocation: 320,240,1 Nodesize: 48,24 Nodecolor: 65535,52427,61166 Variable Value_of_old_heat__s Title: Value of old heat. system Units: e Definition: var a:= Original_value-(Original_value/Life_scale*Age_heat_syst);~ ~ if isnan(a)=1 then 0 else a~ Nodelocation: 208,320,1 Nodesize: 48,24 Windstate: 2,554,110,476,224 Valuestate: 2,152,162,416,303,0,MIDM Variable Cost_of_new_heat__s Title: Cost of new heat. system Definition: Table(Heating_renovation,Heat_system)(~ 0,0,0,0,0,0,~ 0,0,0,0,0,0,~ 0,0,0,0,0,0,~ 0,0,0,0,0,0,~ 1000,1000,1000,1000,1000,1000,~ 0,0,0,0,0,0~ ) Nodelocation: 208,264,1 Nodesize: 48,24 Defnstate: 2,152,162,673,303,0,MIDM Valuestate: 2,208,522,774,244,0,MIDM Nodecolor: 65535,52427,61166 Reformdef: [Heating_renovation,Heat_system] Reformval: [Heating_renovation,Heat_system] Variable Age_heat_syst Title: Heat. system age Units: a Definition: Table(Heat_system)(~ 0,10,0,0,0,0) Nodelocation: 96,320,1 Nodesize: 48,24 Valuestate: 2,56,66,416,303,0,MIDM Nodecolor: 65535,52427,61166 Variable Life_scale Title: Heat system life cycle Units: a Definition: Table(Heat_system)(~ 0,20,0,0,0,0) Nodelocation: 96,376,1 Nodesize: 48,24 Nodecolor: 65535,52427,61166 Variable Original_value Title: Heat. system original value Units: e Definition: Table(Heat_system)(~ 0,1000,0,0,0,0) Nodelocation: 96,264,1 Nodesize: 48,24 Valuestate: 2,584,594,416,303,0,MIDM Nodecolor: 65535,52427,61166 Variable Co2_price Title: CO2 market price Units: e/t Definition: 13.8 Nodelocation: 568,88,1 Nodesize: 48,24 Variable Fu_time Title: Followup time Definition: 10 Nodelocation: 456,368,1 Nodesize: 48,24 Close Household_heating_co Variable Costs_from_health_im Title: Costs from health impacts Definition: {Daly_spec} Nodelocation: 112,216,1 Nodesize: 48,29 Close Costs Variable If_source_categories Title: PM2.5 intake fraction Description: DOM from Piltti~ LPP and SPP from Kopra~ ~ LPP = large power plant~ SPP = small power plant (<50MW) Definition: Table(Pm_source)(~ 3.4/1000000,0.6/1000000,0.5/1000000) Nodelocation: 200,440,1 Nodesize: 48,24 Windstate: 2,329,205,476,224 Defnstate: 2,292,306,416,303,0,MIDM Valuestate: 2,391,370,323,303,0,MIDM Index Pm_source Title: PM source Description: DOM = Domestic wood conbustion~ SPP = Small power plants (<50 MW thermal capacity)~ LPP = Large power plants (>50 MW thermal capacity) Definition: ['DOM','SPP','LPP'] Nodelocation: 200,472,1 Nodesize: 48,12 {!40000|Att_previndexvalue: ['DOM','SPP','LPP']} Module Erf_pm2_5 Title: ERF PM2.5 and natural mortality Author: ktluser Date: 6. Mayta 2008 9:06 Defaultsize: 48,24 Nodelocation: 312,512,1 Nodesize: 48,28 Diagstate: 2,93,134,1067,576,17 Nodecolor: 52427,63897,65535 Variable Ambient_pdm Title: ambient.PDM Description: PDM = performance-based decision maker~ ~ Numbers from table 4, page 742.~ ~ Ref: Jouni T. Tuomisto, Andrew Wilsonb, John S. Evans, Marko Tainio. Uncertainty in mortality response to airborne fine particulate matter:~ Combining European air pollution experts. Reliability Engineering and System Safety 93 (2008) 732–744 Definition: Table(Percentile1)(~ 0.029,0.14,0.62,1.1,3.9) Nodelocation: 208,64,1 Nodesize: 48,24 Windstate: 2,180,151,517,324 Defnstate: 2,330,631,416,303,0,MIDM Valuestate: 2,26,8,416,303,0,MIDM Nodecolor: 65535,52427,57888 Index Percentile1 {!40000|Att_previndexvalue: [0.05,0.25,0.5,0.75,0.95]} Title: Percentile Definition: [0.05,0.25,0.5,0.75,0.95] Nodelocation: 208,96,1 Nodesize: 48,13 Variable Ambient_edm Title: ambient.EDM Description: EDM = equal-weight decision maker~ ~ Numbers from table 4, page 742.~ ~ Ref: Jouni T. Tuomisto, Andrew Wilsonb, John S. Evans, Marko Tainio. Uncertainty in mortality response to airborne fine particulate matter:~ Combining European air pollution experts. Reliability Engineering and System Safety 93 (2008) 732–744 Definition: Table(Percentile1)(~ 0.034,0.41,0.98,1.6,4.6) Nodelocation: 368,64,1 Nodesize: 48,24 Windstate: 2,98,90,476,395 Defnstate: 2,428,392,416,303,0,MIDM Valuestate: 2,264,274,416,303,0,MIDM Nodecolor: 65535,52427,57888 Chance Edm_cumdist Title: EDM-cumdist Definition: var a:=cumdist(Percentile1,Ambient_edm, , false );~ a Nodelocation: 368,160,1 Nodesize: 48,24 Valuestate: 2,43,20,416,579,0,MIDM Displayoutputs: Variable Clipboard_input_vari, Chance Pdm_cumdist Title: PDM-cumdist Definition: var a:=cumdist(Percentile1,Ambient_pdm, , false );~ a Nodelocation: 208,160,1 Nodesize: 48,24 Valuestate: 2,44,17,274,456,0,MIDM Graphsetup: Probindex:[0.05, 0.25, 0.5, 0.75, 0.95 ] Displayoutputs: Variable Clipboard_input_vari, Variable Combined_c_r_functio Title: Combined c-r function Definition: var a:=if Pdm_vs__edm=1 then Pdm_cumdist else Edm_cumdist;~ a Nodelocation: 288,232,1 Nodesize: 48,24 Valuestate: 2,300,63,237,252,0,STAT Chance Pdm_vs__edm Title: PDM vs. EDM Definition: Bernoulli(.5) Nodelocation: 448,232,1 Nodesize: 48,24 Windstate: 2,102,90,476,224 Valuestate: 2,328,338,416,303,0,CONF Displayoutputs: Variable Clipboard_input_vari, Variable Cr_plausibility Title: cr.plausibility Definition: mid(Combined_c_r_functio) Nodelocation: 288,304,1 Nodesize: 48,24 Valuestate: 2,84,60,399,198,0,MIDM Variable Hitox_pdm Title: hitox.PDM Description: PDM = performance-based decision maker~ ~ Numbers from table 4, page 742.~ ~ The high/low constituents are presented in article Cooke et al. High relates in general to combustion partilces. Low relates to secondary particles (4 experts) and for crustal particles (2 experts).~ ~ Ref: Jouni T. Tuomisto, Andrew Wilsonb, John S. Evans, Marko Tainio. Uncertainty in mortality response to airborne fine particulate matter:~ Combining European air pollution experts. Reliability Engineering and System Safety 93 (2008) 732–744~ ~ ref: Cooke RM, Wilson AM, Tuomisto JT, Morales O, Tainio M, Evans JS. A Probabilistic characterization of the relationship between fine particulate matter and mortality: Elicitation of European experts. ENVIRONMENTAL SCIENCE & TECHNOLOGY, 41 (18) Definition: Table(Percentile1)(~ 0.062,0.6800000000000001,1.1,2.4,8) Nodelocation: 528,64,1 Nodesize: 48,24 Windstate: 2,83,85,476,414 Defnstate: 2,25,20,416,303,0,MIDM Nodecolor: 65535,52427,57888 Variable Hitox_edm Title: hitox.EDM Description: EDM = equal-weight decision maker~ ~ Numbers from table 4, page 742.~ ~ The high/low constituents are presented in article Cooke et al. High relates in general to combustion partilces. Low relates to secondary particles (4 experts) and for crustal particles (2 experts).~ ~ Ref: Jouni T. Tuomisto, Andrew Wilsonb, John S. Evans, Marko Tainio. Uncertainty in mortality response to airborne fine particulate matter:~ Combining European air pollution experts. Reliability Engineering and System Safety 93 (2008) 732–744~ ~ ref: Cooke RM, Wilson AM, Tuomisto JT, Morales O, Tainio M, Evans JS. A Probabilistic characterization of the relationship between fine particulate matter and mortality: Elicitation of European experts. ENVIRONMENTAL SCIENCE & TECHNOLOGY, 41 (18) Definition: Table(Percentile1)(~ 0.08699999999999999,0.87,1.9,3.7,10) Nodelocation: 688,64,1 Nodesize: 48,24 Defnstate: 2,10,15,416,303,0,MIDM Nodecolor: 65535,52427,57888 Variable Lotox_edm Title: lotox.EDM Description: EDM = equal-weight decision maker~ ~ Numbers from table 4, page 742.~ ~ The high/low constituents are presented in article Cooke et al. High relates in general to combustion partilces. Low relates to secondary particles (4 experts) and for crustal particles (2 experts).~ ~ Ref: Jouni T. Tuomisto, Andrew Wilsonb, John S. Evans, Marko Tainio. Uncertainty in mortality response to airborne fine particulate matter:~ Combining European air pollution experts. Reliability Engineering and System Safety 93 (2008) 732–744~ ~ ref: Cooke RM, Wilson AM, Tuomisto JT, Morales O, Tainio M, Evans JS. A Probabilistic characterization of the relationship between fine particulate matter and mortality: Elicitation of European experts. ENVIRONMENTAL SCIENCE & TECHNOLOGY, 41 (18) Definition: Table(Percentile1)(~ 0,0,0.11,0.43,2) Nodelocation: 960,64,1 Nodesize: 48,24 Defnstate: 2,11,18,416,303,0,MIDM Nodecolor: 65535,52427,57888 Variable Lotox_pdm Title: lotox.PDM Description: PDM = performance-based decision maker~ ~ Numbers from table 4, page 742.~ ~ The high/low constituents are presented in article Cooke et al. High relates in general to combustion partilces. Low relates to secondary particles (4 experts) and for crustal particles (2 experts).~ ~ Ref: Jouni T. Tuomisto, Andrew Wilsonb, John S. Evans, Marko Tainio. Uncertainty in mortality response to airborne fine particulate matter:~ Combining European air pollution experts. Reliability Engineering and System Safety 93 (2008) 732–744~ ~ ref: Cooke RM, Wilson AM, Tuomisto JT, Morales O, Tainio M, Evans JS. A Probabilistic characterization of the relationship between fine particulate matter and mortality: Elicitation of European experts. ENVIRONMENTAL SCIENCE & TECHNOLOGY, 41 (18) Definition: Table(Percentile1)(~ 0,0.018,0.25,0.36,1) Nodelocation: 800,64,1 Nodesize: 48,24 Defnstate: 2,20,19,416,303,0,MIDM Nodecolor: 65535,52427,57888 Variable Combined_c_r_functi3 Title: Combined c-r function.high Definition: var a:=if Pdm_vs__edm=1 then Pdm_cumdist_high else Edm_cumdist_high;~ a Nodelocation: 608,232,1 Nodesize: 56,24 Valuestate: 2,75,105,237,252,0,CONF Variable Cr_plausibility_high Title: cr.plausibility.high Definition: Combined_c_r_functi3 Nodelocation: 608,304,1 Nodesize: 48,24 Valuestate: 2,500,64,416,303,0,CONF Chance Edm_cumdist_high Title: EDM-cumdist.high Definition: var a:=cumdist(Percentile1,Hitox_edm, , false );~ a Nodelocation: 688,160,1 Nodesize: 48,24 Valuestate: 2,549,74,416,303,0,CONF Displayoutputs: Variable Clipboard_input_vari, Chance Pdm_cumdist_high Title: PDM-cumdist.high Definition: var a:=cumdist(Percentile1,Hitox_pdm, , false );~ a Nodelocation: 528,160,1 Nodesize: 48,24 Valuestate: 2,951,63,274,408,0,CONF Graphsetup: Probindex:[0.05, 0.25, 0.5, 0.75, 0.95 ] Displayoutputs: Variable Clipboard_input_vari, Variable Combined_c_r_functi1 Title: Combined c-r function.low Definition: var a:=if Pdm_vs__edm=1 then Pdm_cumdist_low else Edm_cumdist_low;~ a Nodelocation: 880,232,1 Nodesize: 56,24 Valuestate: 2,300,63,237,252,0,CONF Variable Cr_plausibility_low Title: cr.plausibility.low Definition: Combined_c_r_functi1 Nodelocation: 880,304,1 Nodesize: 48,24 Valuestate: 2,744,304,416,303,0,CONF Chance Edm_cumdist_low Title: EDM-cumdist.low Definition: var a:=cumdist(Percentile1,Lotox_edm, , false );~ a Nodelocation: 960,160,1 Nodesize: 48,24 Valuestate: 2,870,239,416,303,0,CONF Displayoutputs: Variable Clipboard_input_vari, Chance Pdm_cumdist_low Title: PDM-cumdist.low Definition: var a:=cumdist(Percentile1,Lotox_pdm, , false );~ a Nodelocation: 800,160,1 Nodesize: 48,24 Valuestate: 2,951,63,274,408,0,CONF Graphsetup: Probindex:[0.05, 0.25, 0.5, 0.75, 0.95 ] Displayoutputs: Variable Clipboard_input_vari, Index Cr_choice {!40000|Att_previndexvalue: ['Equal toxicity','Differential toxicity']} Title: cr.choice Definition: ['Equal toxicity','Differential toxicity'] Nodelocation: 608,440,1 Nodesize: 48,12 Variable Cr_function Title: cr.function Definition: Table(Cr_choice)(~ Cr_plausibility,Cr_plausibility_high) Nodelocation: 608,408,1 Nodesize: 48,24 Defnstate: 2,22,33,685,446,0,MIDM Valuestate: 2,106,83,421,240,0,MIDM Reformdef: [Cr_choice] Reformval: [Cr_choice,Undefined,1] {!40000|Att_resultslicestate: [Cr_choice,2,Emission_source_sub_,6,Sys_localindex('STATISTICS'),1]} Constant Higher_toxicity_was_ Title: Higher toxicity was applied for traffic emissions and lower for agricultural dust emissions Definition: Cr_function Nodelocation: 792,408,1 Nodesize: 72,58 Chance Ambient_pdm_low_unc Title: ambient.PDM.low.unc Definition: Triangular( 0.14, 0.62, 1.1 ) Nodelocation: 64,64,1 Nodesize: 48,24 Valuestate: 2,284,165,509,294,1,MIDM Chance Ambient_edm_low_unc Title: ambient.EDM.low.unc Definition: Triangular( 0.41, 0.98, 1.6 ) Nodelocation: 64,112,1 Nodesize: 48,24 Valuestate: 2,284,165,509,294,1,MIDM Close Erf_pm2_5 Module Building_heat_consum Title: Building heat consumption Author: vkoe Date: 1. Febta 2011 9:55 Defaultsize: 48,24 Nodelocation: 312,152,1 Nodesize: 52,24 Diagstate: 2,71,242,1048,695,17 Nodecolor: 52427,63897,65535 Variable Q_heat_purchase Title: Heat purchase Units: kWh/m2/a Description: Heat purchased for a building Definition: var a:=sum(Q_space_heating+Q_water_heating,month);~ ~ a:= a/Hs_efficiency; Nodelocation: 392,528,1 Nodesize: 48,24 Windstate: 2,98,90,476,224 Valuestate: 2,369,248,516,303,0,MIDM Nodecolor: 65535,19661,50247 Reformval: [Building_type,Heat_system] {!40000|Att_resultslicestate: [Energy_class,3,Const_year,7,Fu_period,3,Heat_system,1,Building_type,1]} Variable Hs_efficiency Title: Heat system efficiency Units: - Description: Efficiency of the heat production device Definition: Table(Heat_system)(~ 1,0.87,0.75,1,2.5,1) Nodelocation: 280,528,1 Nodesize: 48,24 Defnstate: 2,485,422,416,303,0,MIDM Valuestate: 2,292,314,416,303,0,MIDM Variable Q_space_heating Title: SH heat consumption Units: kWh/m2/month Description: Tästä pitää vielä vähentää poistoilmalämpöpumpun varaajan siirtämä ja tilojen lämmityksessä hyödynnetty energia (Q_lp_tilat) Definition: (Q_conduction+Q_air_leak+Q_air_exchange-Q_internal_heat+Q_sh_system)/(Ground_floor_area*No_of_floors) Nodelocation: 392,400,1 Nodesize: 48,24 Valuestate: 2,196,196,527,492,0,MIDM Nodecolor: 65535,19661,50247 Reformval: [Building_type,Month] Att__totalsindex: Index Month {!40000|Att_resultslicestate: [Heat_system,2,Energy_class,2,Const_year,7,Fu_period,1,Month,1,Building_type,1]} Variable Q_water_heating Title: WH heat consumption Units: kWh/m2/month Description: a: lämpimän veden kulutus vuodessa per rakennus~ b: veden lämmitykseen kuluva netto energia~ ~ Tästä pitää vielä vähentää poistoilmalämpöpumpun varaajan siirtämä ja veden lämmityksessä hyödynnetty energia Definition: var a:= Hot_water_use*Ground_floor_area*No_of_floors/1000;~ var b:=1000*4.2*a*50/3600;~ ~ b/12/(Ground_floor_area*No_of_floors)+Q_wh_system Nodelocation: 392,464,1 Nodesize: 48,24 Windstate: 2,265,184,476,265 Valuestate: 2,314,238,494,248,0,MIDM Nodecolor: 65535,19661,50247 Variable Q_conduction Title: Conduction heat loss Units: kWh/month Description: Rakenteiden läpi johtuva lämpöenergia~ ~ a: Rakennusosien yhteenlaskettu ominaislämpöhäviö (H_joht, W/K) Definition: var a:=(A_outside_wall*U_outside_wall)+(A_roof*U_roof)+(Ground_floor_area*U_floor)+(A_window*U_window)+(A_outer_door*U_outer_door);~ ~ a:=a*(Ts-Tu)*Time_period/1000;~ a Nodelocation: 288,288,1 Nodesize: 48,24 Windstate: 2,71,69,510,307 Valuestate: 2,422,203,609,418,0,MIDM Nodecolor: 19661,48336,65535 Reformval: [Building_type,Month] Att__totalsindex: Index Month {!40000|Att_resultslicestate: [Energy_class,3,Const_year,3,Month,1,Building_type,1]} Variable Q_air_leak Title: Air leak heat loss Units: kWh/month Description: a: air leak, vuotoilmavirta (m3/s), lasketaan:~ ~ rakennuksen uotoilmakerroin (1/h) * rakennuksen ilmatilavuus (m3) / 3600 (laatumuunnos m3/h > m3/s)~ ~ b: air leak unit heat loss (W/K), lasketaan:~ ~ (ilman tiheys (kg/m3) * ilman ominaislämpökapasiteetti (Ws/(kgK) * vuotoilmavirta (m3/s) Definition: var a:= Air_leak_factor*Ground_floor_area*Building_height/3600; ~ var b:= 1.2*1000*a;~ ~ b:=b*(Ts-Tu)*Time_period/1000;~ b Nodelocation: 496,288,1 Nodesize: 48,24 Windstate: 2,133,0,476,355 Valuestate: 2,375,190,529,381,0,MIDM Nodecolor: 19661,48336,65535 Reformval: [Building_type,Month] {!40000|Att_resultslicestate: [Energy_class,2,Const_year,6,Month,1,Building_type,1]} Variable Q_air_exchange Title: Air exchange heat loss Units: kWh/month Description: ~ ~ a: rakennuksen poistoilmavirta (m3/s), lasketaan:~ ~ ominaispoistoilmavirran mukaan, tai vaihtoehtoisesti poistoilmakertoimeen perustuen:~ ~ poistoilmakerroin (1/h) * rakennuksen ilmatilavuus (m3) / 3600 (laatumuunnos m3/h > m3/s)~ ~ Keskimääränen poistoilmavirta lasketaan ilmanvaihtolaitteiston tehon ja käyntiajan pohjalta.~ ~ b: ilmanvaihdon ominaislämpöhäviö (W/K) Definition: var a:=(air_exchange*Ground_floor_area*No_of_floors)/1000;~ ~ var b:= 1.2*1000*a*(1-Eta_a);~ ~ b:=b*(Ts-Tu)*Time_period/1000;~ ~ b Nodelocation: 392,288,1 Nodesize: 48,24 Windstate: 2,459,99,476,506 Valuestate: 2,262,393,511,303,0,MIDM Nodecolor: 19661,48336,65535 Reformval: [Building_type,Month] Att__totalsindex: Index Month Variable Ts Title: Indoor air temp Units: Celsius Description: Indoor air temperature Definition: 21 Nodelocation: 288,224,1 Nodesize: 48,24 Nodecolor: 1,65535,32766 Variable Tu Title: Outdoor air temp Units: Celsius Description: Jyväskylä area 1979 (Rakentamismääräyskokoelman aineisto) Definition: Table(Month,Fu_period)(~ -10.6,-10.6,-10.6,-10.6,-10.6,-10.6,-10.6,~ -12.2,-12.2,-12.2,-12.2,-12.2,-12.2,-12.2,~ -2.58,-2.58,-2.58,-2.58,-2.58,-2.58,-2.58,~ 0.2,0.2,0.2,0.2,0.2,0.2,0.2,~ 10.3,10.3,10.3,10.3,10.3,10.3,10.3,~ 14.9,14.9,14.9,14.9,14.9,14.9,14.9,~ 15,15,15,15,15,15,15,~ 14.8,14.8,14.8,14.8,14.8,14.8,14.8,~ 7.97,7.97,7.97,7.97,7.97,7.97,7.97,~ 1.73,1.73,1.73,1.73,1.73,1.73,1.73,~ -0.59,-0.59,-0.59,-0.59,-0.59,-0.59,-0.59,~ -6.9,-6.9,-6.9,-6.9,-6.9,-6.9,-6.9~ ) Nodelocation: 288,168,1 Nodesize: 48,24 Defnstate: 2,824,127,416,303,0,MIDM Nodecolor: 65535,52427,61166 Reformdef: [Fu_period,Month] Variable Time_period Title: Time period Units: h Definition: Table(Month)(~ 31*24,28*24,31*24,30*24,31*24,30*24,31*24,31*24,30*24,31*24,30*24,31*24) Nodelocation: 288,48,1 Nodesize: 48,24 Variable A_outside_wall Title: Outside wall area Units: m2 Description: Assumptions: ~ ~ Detached house width/lenght ratio = 1/1.5~ Row house width/lenght ratio = 1/6~ Appartment building width/lenght ratio = 1/3 Definition: Table(Building_type)(~ (sqrt(Ground_floor_area/1.5)*5*Building_height)-A_window-A_outer_door,sqrt(Ground_floor_area/6)*14*Building_height-A_window-A_outer_door,sqrt(Ground_floor_area/3)*8*Building_height-A_window-A_outer_door) Nodelocation: 184,224,1 Nodesize: 48,24 Windstate: 2,198,356,476,224 Defnstate: 2,375,713,416,303,0,MIDM Valuestate: 2,299,210,416,303,0,MIDM Nodecolor: 65535,52427,61166 Variable U_outside_wall Title: Outside wall heat cond Units: W/(m2K) Definition: Table(Energy_class,Const_year)(~ 0.29,0.29,0.29,0.28,0.28,0.25,0.17,0.17,0.17,~ 0.17,0.17,0.17,0.17,0.17,0.17,0.17,0.17,0.17,~ 0.14,0.14,0.14,0.14,0.14,0.14,0.14,0.14,0.14,~ 0.12,0.12,0.12,0.12,0.12,0.12,0.12,0.12,0.12~ ) Nodelocation: 80,224,1 Nodesize: 48,24 Defnstate: 2,168,178,737,303,0,MIDM Nodecolor: 1,65535,32766 Reformdef: [Energy_class,Const_year] Variable A_roof Title: Roof area Units: m2 Definition: Ground_floor_area Nodelocation: 184,168,1 Nodesize: 48,24 Nodecolor: 65535,52427,61166 Variable U_roof Title: Roof heat cond Units: W/(m2K) Definition: Table(Energy_class,Const_year)(~ 0.35,0.35,0.23,0.22,0.22,0.16,0.09,0.09,0.09,~ 0.09,0.09,0.09,0.09,0.09,0.09,0.09,0.09,0.09,~ 0.08,0.08,0.08,0.08,0.08,0.08,0.08,0.08,0.08,~ 0.08,0.08,0.08,0.08,0.08,0.08,0.08,0.08,0.08~ ) Nodelocation: 80,168,1 Nodesize: 48,24 Defnstate: 2,136,146,906,303,0,MIDM Nodecolor: 1,65535,32766 Reformdef: [Energy_class,Const_year] Variable U_floor Title: Floor heat cond Units: W/(m2K) Definition: Table(Energy_class,Const_year)(~ 0.4,0.4,0.4,0.36,0.36,0.25,0.16,0.16,0.16,~ 0.16,0.16,0.16,0.16,0.16,0.16,0.16,0.16,0.16,~ 0.12,0.12,0.12,0.12,0.12,0.12,0.12,0.12,0.12,~ 0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1~ ) Nodelocation: 80,288,1 Nodesize: 48,24 Defnstate: 2,200,210,947,303,0,MIDM Nodecolor: 1,65535,32766 Reformdef: [Energy_class,Const_year] Variable A_window Title: Window area Units: m2 Description: Assumption: Window area is 15% from the floor area. Definition: 0.15*Ground_floor_area*No_of_floors Nodelocation: 184,104,1 Nodesize: 48,24 Defnstate: 2,558,475,416,303,0,MIDM Nodecolor: 65535,52427,61166 Variable U_window Title: Window heat cond Units: W/(m2K) Definition: Table(Energy_class,Const_year)(~ 1.5,1.5,1.5,1.4,1.4,1.4,1,1,1,~ 1,1,1,1,1,1,1,1,1,~ 0.9,0.9,0.9,0.9,0.9,0.9,0.9,0.9,0.9,~ 0.8,0.8,0.8,0.8,0.8,0.8,0.8,0.8,0.8~ ) Nodelocation: 80,104,1 Nodesize: 48,24 Defnstate: 2,104,114,624,303,0,MIDM Nodecolor: 1,65535,32766 Reformdef: [Energy_class,Const_year] Variable A_outer_door Title: Outer door area Units: m2 Description: Assumptions: ~ *average door: width 85 cm, height 2 m~ *Detached houses: 2 doors~ *Row houses: 2 doors per apartment, 4 apartments per house~ *Apartment building: 3 doors (double front door and single back door)~ Definition: Table(Building_type)(~ 0.85*2*2,0.85*2*4,0.85*2*3) Nodelocation: 184,48,1 Nodesize: 48,24 Defnstate: 2,465,133,416,303,0,MIDM Nodecolor: 65535,52427,61166 Variable U_outer_door Title: Outer door heat cond Units: W/(m2K) Definition: Table(Energy_class,Const_year)(~ 1.4,1.4,1.4,1.4,1.4,1.4,1,1,1,~ 1,1,1,1,1,1,1,1,1,~ 0.6,0.6,0.6,0.6,0.6,0.6,0.6,0.6,0.6,~ 0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5~ ) Nodelocation: 80,48,1 Nodesize: 48,24 Defnstate: 2,72,82,592,303,0,MIDM Nodecolor: 1,65535,32766 Reformdef: [Energy_class,Const_year] Variable Building_height Title: Building height Description: One floor height is 3 m. Apartment buildings have in average 4 floors Definition: Table(Building_type)(~ 2.5,2.5,2.5*4) Nodelocation: 80,352,1 Nodesize: 48,24 Nodecolor: 65535,52427,61166 Variable Ground_floor_area Title: Ground floor area Units: m2 Description: Assumptions: Calculated based on building numbers and floor area from Finnish Statistics. Apartment buildings are assumed to have in average 4 floors. All detached and row houses are assumed to have one floor. Definition: Table(Building_type)(~ 135,400,400) Nodelocation: 184,288,1 Nodesize: 48,24 Defnstate: 2,265,188,416,303,0,MIDM Nodecolor: 65535,52427,61166 Index Month Title: Month Definition: [1,2,3,4,5,6,7,8,9,10,11,12] Nodelocation: 288,80,1 Nodesize: 48,12 {!40000|Att_previndexvalue: [1,2,3,4,5,6,7,8,9,10,11,12]} Variable No_of_floors Title: No. of floors Definition: Table(Building_type)(~ 1,1,4) Nodelocation: 184,352,1 Nodesize: 48,24 Defnstate: 2,272,326,416,303,0,MIDM Nodecolor: 65535,52427,61166 Variable Air_leak_factor Title: Air leak factor Units: 1/h Description: vuotoilmavirta~ ~ rakennuksen vuotoilmakerroin voidaan laskea ilmanvaihtoluvun n50 perusteella:~ ~ vuotoilmakerroin (1/h) = n50 / 25 Definition: Table(Energy_class,Const_year)(~ 0.24,0.24,0.24,0.16,0.16,0.16,0.08,0.08,0.08,~ 0.08,0.08,0.08,0.08,0.08,0.08,0.08,0.08,0.08,~ 0.032,0.032,0.032,0.032,0.032,0.032,0.032,0.032,0.032,~ 0.024,0.024,0.024,0.024,0.024,0.024,0.024,0.024,0.024~ ) Nodelocation: 496,224,1 Nodesize: 48,24 Windstate: 2,395,100,476,289 Defnstate: 2,248,258,549,303,0,MIDM Valuestate: 2,308,322,520,303,0,MIDM Nodecolor: 1,65535,32766 Reformdef: [Energy_class,Const_year] Reformval: [Energy_class,Const_year] Variable Air_exchange Title: Air exchange Units: dm3/s/m2 Description: Ominaispoistoilmavirta~ ~ tavallisesti asuinrakennuksissa 0.35-0.5 dm3/s/m2~ ~ Rakennusmääräyskokoelman osan D2 suosituksen mukaan poistoilmakertoimen tulisi olla 0.5/h, jota vastaa arvo 0.35 m2/s~ ~ Definition: 0.4 Nodelocation: 392,224,1 Nodesize: 48,24 Windstate: 2,418,95,476,350 Nodecolor: 65535,52427,61166 Variable Eta_a Title: Heat recovery air exchange Units: - Description: Ilmanvaihdon poistoilman lämmöntalteenoton (LTO) vuosihyötysuhde.~ ~ Jos lämmöntalteenottoa ei ole, eta_a = 0.~ ~ Vuosihyötysuhde voidaan laskea kaavalla eta_a = 0.6 * eta_t~ jossa eta_t = ilmanvaihdon lämmöntalteenoton tuloilman lämpötilasuhde, kun tulo- ja poistoilmavirta ovat yhtä suuret. Definition: Table(Energy_class,Const_year)(~ 0,0,0,0,0,0.3,0.45,0.45,0.45,~ 0.45,0.45,0.45,0.45,0.45,0.45,0.45,0.45,0.45,~ 0.65,0.65,0.65,0.65,0.65,0.65,0.65,0.65,0.65,~ 0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75~ ) Nodelocation: 392,168,1 Nodesize: 48,24 Windstate: 2,98,90,476,271 Defnstate: 2,218,142,625,303,0,MIDM Valuestate: 2,358,124,636,303,0,MIDM Nodecolor: 1,65535,32766 Reformdef: [Energy_class,Const_year] Reformval: [Energy_class,Const_year] Variable Sh_unit_rel_wr Title: Space heat unit release wr Units: kWh/brm2/kk Description: vesiradiaattorien kuukausittaiset lämmitysjärjestelmähaviöt lämmityskaudella~ ~ a: kehityshäviöt~ b: jakeluhäviöt~ c: luovutushäviöt~ d: säätöhaviöt~ e: varaajahäviöt Definition: var a:= 2*Ground_floor_area*No_of_floors;~ var k:= 2000/(Ground_floor_area*No_of_floors);~ a:= if a<2000 then k else 2;~ var b:=10;~ var c:= 4;~ var d:=2;~ var e:= 10;~ (a+b+c+d+e)/sum(heating_season,month) Nodelocation: 600,224,1 Nodesize: 48,24 Windstate: 2,490,157,476,384 Nodecolor: 65535,52427,61166 Variable Sh_unit_rel_er Title: Space heat unit release er Units: kWh/brm2/month Description: Sähkölämmityspattereiden ominaislämpöhäviö~ ~ a: kehityshäviöt~ b: jakeluhäviöt~ c: luovutushäviöt~ d: säätöhäviöt~ e: varaajahäviöt Definition: var a:= 0;~ var b:= 0;~ var c:= 4;~ var d:= 4;~ var e:= 0;~ ~ (a+b+c+d+e)/sum(heating_season,month) Nodelocation: 600,168,1 Nodesize: 48,24 Windstate: 2,386,119,570,373 Nodecolor: 65535,52427,61166 Variable Heating_season Title: Heating season Description: Lämmityskausi alkaa kun T ~ 12-15 C Definition: Table(Month)(~ 1,1,1,1,1,0,0,0,1,1,1,1) Nodelocation: 600,112,1 Nodesize: 48,24 Nodecolor: 65535,52427,61166 Variable Q_sh_system Title: SH system heat loss Units: kWh/month Description: Lämmitysjärjestelmän lämpöhaviöenergia. Kehityshäviöt, jakeluhäviöt, luovutushäviöt, säätöhaviöt, varaajahäviöt. Häviöita ainoastaan lämmityskaudella. Definition: var a:= if heat_system = 'Electricity' then Sh_unit_rel_er else Sh_unit_rel_wr;~ ~ a:=a*Ground_floor_area*No_of_floors*heating_season;~ ~ a Nodelocation: 600,288,1 Nodesize: 48,24 Windstate: 2,444,60,479,297 Valuestate: 2,418,141,603,379,0,MIDM Nodecolor: 19661,48336,65535 Reformval: [Building_type,Month] {!40000|Att_resultslicestate: [Heat_system,6,Month,1,Building_type,1]} Variable Q_wh_system Title: WH system heat loss Units: kWh/m2/month Description: Käyttäveden lämmitysjärjestelmän lämpöhaviöenergia~ ~ muodostuu kehitys-, kierto- ja varaajahäviöistä. Kehityshäviöt, sisältyvät yleensä tilojen lämmityksen kehityshäviöihin, joten ei tarvitse sisällyttää tähän.~ ~ kiertohäviöt: ominaishäviön oletusarvona 15 kWh/brm2/a~ varaajahäviöt ominaishäviön oletusarvona 3/kWh/brm2/a (aliarvioi pienetn varaajien ja yliarvioi suurten varaajien häviöitä, vaihteluväli n. 1-5 kWh/brm2/a) Definition: var a:=(15+3)*Ground_floor_area*No_of_floors;~ a/12/(Ground_floor_area*No_of_floors) Nodelocation: 184,464,1 Nodesize: 48,24 Windstate: 2,380,87,476,333 Valuestate: 2,172,185,416,303,0,MIDM Variable Hot_water_use Title: Hot water use Units: m3 Description: Oletusarvo: lämpimän veden ominaiskulutus asuinrakennuksessa = 600 dm3/brm2/a Definition: 400 Nodelocation: 80,464,1 Nodesize: 48,24 Nodecolor: 1,65535,32766 Module Internal_heat Title: Internal heat Author: vkoe Date: 4. Febta 2011 9:49 Defaultsize: 48,24 Nodelocation: 600,400,1 Nodesize: 48,24 Nodeinfo: 1,0,1,1,1,1,0,,0, Diagstate: 2,341,136,758,322,17 Variable Q_internal_heat Title: Internal heat Units: kWh/month Definition: (Q_electricity_heat_r+Q_persons+Q_sh_release+Q_sun+Q_wh_release)*Eta_internal_heat Nodelocation: 408,248,1 Nodesize: 48,24 Valuestate: 2,727,671,476,405,0,MIDM Nodecolor: 65535,19661,50247 Reformval: [Building_type,Month] Att__totalsindex: Index Month Variable Q_persons Title: Person heat release Units: kWh/month Description: Voidaan myös laskea tarkemmin henkilöiden määrän ja oleskeluajan perusteella~ ~ Q_persons = yhden henkilön keskimäärin luovuttama lämpöteho (70 W) * henkilöiden määrä * oleskeluaika (h) / 1000~ ~ Jos rakennus on käytössä koko ajan, oleskeluaika = laskentajakson pituus tunneissa * 0.6 Definition: Q_pers_unit_rel*Ground_floor_area*No_of_floors/12 Nodelocation: 304,176,1 Nodesize: 48,24 Windstate: 2,98,90,476,291 Valuestate: 2,161,390,416,303,0,MIDM Variable Q_sh_release Title: SH heat release Units: kWh/month Definition: Q_sh_system*0.7~ Nodelocation: 512,176,1 Nodesize: 48,24 Windstate: 2,98,90,476,224 Valuestate: 2,571,404,416,303,0,MIDM Reformval: [Building_type,Month] Variable Q_wh_release Title: WH heat release Units: kWh/month Definition: var a:= 600*Ground_floor_area*No_of_floors/1000;~ var b:=1000*4.2*a*50/3600;~ ~ (b*0.3+Q_wh_system*0.5)/12 Nodelocation: 616,176,1 Nodesize: 48,24 Variable Q_electricity_heat_r Title: Electricity heat release Units: kWh/month Definition: Electricity_heat_uni*Ground_floor_area*No_of_floors/12 Nodelocation: 408,176,1 Nodesize: 48,24 Variable Q_sun Title: Sun heat absorption Units: kWh/month Definition: G_sun_horizontal*F_direction*F_permeability*A_window*g Nodelocation: 200,176,1 Nodesize: 48,24 Valuestate: 2,487,235,416,303,0,MIDM Reformval: [Building_type,Month] Displayinputs: Variable G_sun_vertical Variable Eta_internal_heat Title: Internal heat use efficiency Units: - Description: How much of the internal heat can be exploited on a monthly basis~ ~ a: rakennuksen sisäinen lämpökuorma (kWh)~ b: rakennuksen lämpöhäviö (kWh)~ c: rakennuksen ominaislämpöhäviö (W/K)~ d: rakennuksen aikavakio (h)~ e: numeerinen parametri, joka riippuu aikavakiosta Definition: var a:= Q_sh_release+Q_wh_release+Q_persons+Q_electricity_heat_r+Q_sun;~ var b:= Q_conduction+Q_air_leak+Q_air_exchange;~ var c:=(b/((Ts-Tu)*Time_period))*1000;~ var d:=C_rak_unit*Ground_floor_area*No_of_floors/c;~ var e:=1+(d/15);~ ~ (1-(a/b)^e)/(1-(a/b)^(e+1))~ Nodelocation: 200,248,1 Nodesize: 48,24 Windstate: 2,245,12,727,448 Valuestate: 2,486,311,416,303,0,MIDM Reformval: [Building_type,Month] Variable C_rak_unit Title: C_rak_unit Units: Wh/(brm2 K) Description: Rakennuksen sisäpuolinen tehollinen lämpökapasiteetti, riippuu rakennusmateriaalista~ Definition: Table(Building_type)(~ 150,150,190) Nodelocation: 96,248,1 Nodesize: 48,24 Nodecolor: 65535,52427,61166 Variable Q_pers_unit_rel Title: Q persons unit release Units: kWh/brm2/a Definition: Table(Building_type)(~ 8,11,17) Nodelocation: 304,112,1 Nodesize: 48,24 Nodecolor: 65535,52427,61166 Variable Electricity_heat_uni Title: Electricity heat unit release Units: kWh/brm2 Definition: Table(Building_type)(~ 32,32,32) Nodelocation: 408,112,1 Nodesize: 48,24 Nodecolor: 65535,52427,61166 Variable G_sun_horizontal Title: Sun radiation horizontal Units: kWh/m2 Description: Oletusarvot: Jyväskylän seutu Definition: Table(Month)(~ 5.7,23.3,47.3,93.40000000000001,147.1,171.4,138.4,116.4,61.4,26.6,5.5,2.8) Nodelocation: 200,56,1 Nodesize: 48,24 Defnstate: 2,659,339,416,303,0,MIDM Nodecolor: 65535,52427,61166 Variable G_sun_vertical Title: Sun radiation vertical Units: kWh/m2 Description: Oletusarvot: Jyväskylän seutu, ikkunat lounaaseen Definition: Table(Month)(~ 7.6,41.8,58.5,92.3,101.1,107.7,84.8,93.09999999999999,58.8,34.6,6.2,2.8) Nodelocation: 200,112,1 Nodesize: 48,24 Defnstate: 2,731,315,416,303,0,MIDM Nodecolor: 65535,52427,61166 Displayoutputs: Variable Q_sun Variable F_direction Title: Direction conversion factor Units: - Description: Muuntokerroin, jolla vaakatasolle tuleva auringon kokonaissäteilyenergia muunnetaan ilmansuunnittain pystypinnalle tulevaksi kokonaissäteilyenergiaksi~ ~ oletusarvot: Jyväskylän seutu, ikkunat lounaaseen Definition: Table(Month)(~ 1.333,1.794,1.237,0.987,0.6870000000000001,0.628,0.613,0.8,0.958,1.301,1.127,1) Nodelocation: 96,112,1 Nodesize: 48,24 Nodecolor: 65535,52427,61166 Variable G Title: Window permeability factor Units: - Description: ikkunan valoaukon auringon kokonaissäteilyn läpäisykerroin~ ~ Voidaan laskea: g = 0.9 * ikkunan valoaukon kohtisuoran auringonsäteilyn kokonaisläpäisykerron~ ~ käytetty oletusarvo: yksipuitteinen, kolmilasinen ikkuna Definition: 0.9*0.7 Nodelocation: 96,56,1 Nodesize: 48,24 Nodecolor: 65535,52427,61166 Variable F_permeability Title: Radiation permeability factor Units: - Description: Auringon säteilyn läpäisyn kokonaiskorjauskerroin~ ~ Voidaan laskea: F_läpäisy = F_kehä * F_verho * F_ varjostus~ ~ Jos varjostuksia ja pysyviä verhoja ei ole, F_läpäisy oletusarvona voidaan käyttää 0.75~ ~ F_kehä = ikkunan valoaukko (m2) / ikkunan koko kehysrakenteineen (m2). Voidaan käyttää oletusarvoa 0.75~ ~ F_verho: tyypilliset arvot eri verho/sälekaihdin tyypeille vaihtelevat välillä 0.3-0.8. Oletusarvonana 0.5, joka vastaa vaaleita tekstiiliverhoja sisäpuolella. Valkoiset sälekaihtimet ikkunan välissä = 0.3.~ ~ F_varjostus lasketaan ikkunan horisontaalisten, yläpuolisten vaakasuorien rakenteiden ja sivuilla olevien pystysuorien rakenteiden varjostuksen tulona. Oletusarvona on, että näitä varjostuksia ei ole. Definition: 0.75*0.5 Nodelocation: 96,176,1 Nodesize: 48,24 Windstate: 2,98,90,476,295 Nodecolor: 65535,52427,61166 Close Internal_heat Index Heat_loss {!40000|Att_previndexvalue: ['Conduction','Air exchange','Air leak','SH system','Water heating','WH system']} Title: Heat loss source Definition: ['Conduction','Air exchange','Air leak','SH system','Water heating','WH system'] Nodelocation: 848,336,1 Nodesize: 48,16 Variable Heat_loss_fraction Title: Heat loss Definition: Table(Heat_loss)(~ sum(Q_conduction,month),sum(Q_air_exchange,month),sum(Q_air_leak,month),sum(Q_sh_system,month),(Q_water_heating-Q_wh_system)*12*Ground_floor_area*No_of_floors,Q_wh_system*12*Ground_floor_area*No_of_floors) Nodelocation: 848,296,1 Nodesize: 48,24 Nodeinfo: 1,1,1,1,1,1,0,,0, Defnstate: 2,596,148,960,303,0,MIDM Valuestate: 2,120,130,674,303,0,MIDM Reformval: [Heat_loss,Const_year] Variable Heat_loss_fraction1 Title: Heat loss fraction Definition: var a:=Heat_loss_fraction;~ a/sum(a,heat_loss) Nodelocation: 952,296,1 Nodesize: 48,24 Nodeinfo: 1,1,1,1,1,1,0,,0, Valuestate: 2,168,178,679,352,0,MIDM Reformval: [Heat_loss,Const_year] {!40000|Att_resultslicestate: [Building_type,2,Energy_class,3,Heat_system,1,Const_year,1,Heat_loss,1]} Variable Internal_heat_source Title: Internal heat source Definition: Table(Internal_heat1)(~ sum(Q_sun,month),sum(Q_persons,month),sum(Q_electricity_heat_r,month),sum(Q_sh_release,month),sum(Q_wh_release,month)) Nodelocation: 848,400,1 Nodesize: 48,24 Nodeinfo: 1,1,1,1,1,1,0,,0, Defnstate: 2,198,406,416,303,0,MIDM Valuestate: 2,236,330,416,303,0,MIDM Reformval: [Internal_heat1,Heat_system] {!40000|Att_resultslicestate: [Building_type,3,Heat_system,1,Internal_heat1,1]} Index Internal_heat1 {!40000|Att_previndexvalue: ['Sun','Person','Electricity','SH release','WH release']} Title: Internal heat Definition: ['Sun','Person','Electricity','SH release','WH release'] Nodelocation: 848,440,1 Nodesize: 48,16 Windstate: 2,109,378,476,224 Variable Internal_heat_fracti Title: Internal heat fraction Definition: var a:=Internal_heat_source;~ a/sum(a,internal_heat1) Nodelocation: 952,400,1 Nodesize: 48,24 Nodeinfo: 1,1,1,1,1,1,0,,0, Valuestate: 2,125,115,761,303,0,MIDM Reformval: [Internal_heat1,Heat_system] Close Building_heat_consum Objective Total_heat_purchase Title: Total heat purchase by heating type Units: kWh/a Definition: sum(Bs_devel*Q_heat_purchase, Const_year, Building_type, Energy_class) Nodelocation: 312,224,1 Nodesize: 52,28 Windstate: 2,258,192,476,224 Valuestate: 2,114,195,627,306,0,MIDM Reformval: [Heat_system] {!40000|Att_resultslicestate: [Building_type,2,Const_year,1,Heat_system,1]} Module Pm2_5_emfs Title: PM2.5 EMF Author: vkoe Date: 4. Febta 2011 9:49 Defaultsize: 48,24 Nodelocation: 200,288,1 Nodesize: 48,24 Diagstate: 1,245,191,538,275,17 Nodecolor: 52427,63897,65535 Index Wood_heater {!40000|Att_previndexvalue: ['Manual with accumulator','Auto feed wood chip boiler','Auto feed pellet boiler','Iron stove','Other stove or oven','Open fireplace']} Title: Wood heater Definition: ['Manual with accumulator','Auto feed wood chip boiler','Auto feed pellet boiler','Iron stove','Other stove or oven','Open fireplace'] Nodelocation: 88,88,1 Nodesize: 48,12 Variable Wh_frac Title: Wood heater fraction Definition: Table(Wood_heater)(~ 0.401,0.072,5m,7m,0.507,8m) Nodelocation: 88,56,1 Nodesize: 48,24 Nodecolor: 65535,52427,61166 Variable Wh_pm_emf Title: Wood heater PM2.5 EMF Units: mg/MJ Definition: Table(Wood_heater)(~ 80,50,30,700,140,800) Nodelocation: 192,56,1 Nodesize: 48,24 Defnstate: 2,1008,663,416,303,0,MIDM Valuestate: 2,298,517,416,303,0,MIDM Nodecolor: 65535,52427,61166 Variable Pm2_5_emf_wood Title: PM2.5 EMF wood Units: mg/MJ Definition: sum(Wh_pm_emf*Wh_frac,wood_heater) Nodelocation: 296,56,1 Nodesize: 48,24 Variable Pm_emf Title: PM2.5 EMF Units: mg/MJ Definition: Table(Heat_system,Pm_source)(~ 0,sum(Dh_power_plant_frac*Dh_pm2_5_emf, PP_FUEL)[Dh_pp='Small heat'],sum(Dh_power_plant_frac*Dh_pm2_5_emf, PP_FUEL)[Dh_pp='Large CHP'],~ 30,0,0,~ sum(Wh_pm_emf*Wh_frac,wood_heater),0,0,~ 0,0,sum(Electricity_producti*Electricity_fuel_fra*Elect_pp_pm2_5_emf, Elect_pp, pp_fuel),~ 0,0,sum(Electricity_producti*Electricity_fuel_fra*Elect_pp_pm2_5_emf, Elect_pp, pp_fuel),~ 0,0,0~ ) Nodelocation: 416,56,1 Nodesize: 48,24 Windstate: 2,109,108,476,224 Defnstate: 2,170,311,812,303,0,MIDM Valuestate: 2,155,315,461,303,0,MIDM Reformdef: [Heat_system,Pm_source] Reformval: [Pm_source,Heat_system] {!40000|Att_resultslicestate: [Dh_pp,1,Heat_system,1,Pm_source,1]} Variable Dh_pm2_5_emf Title: DH PP PM2.5 EMF Definition: Table(Pp_fuel,Dh_pp)(~ 10,10,~ 10,50,~ 10,0,~ 10,50,~ 10,30~ ) Nodelocation: 296,120,1 Nodesize: 48,24 Windstate: 2,225,329,476,224 Nodecolor: 65535,52427,61166 Reformdef: [Dh_pp,Pp_fuel] Reformval: [Dh_pp,Pp_fuel] Variable Elect_pp_pm2_5_emf Title: Elect PP PM2.5 EMF Definition: Table(Pp_fuel,Elect_pp)(~ 10,10,~ 10,10,~ 10,10,~ 10,10,~ 10,10~ ) Nodelocation: 296,184,1 Nodesize: 48,24 Windstate: 2,235,342,476,224 Nodecolor: 65535,52427,61166 Reformdef: [Elect_pp,Pp_fuel] Reformval: [Elect_pp,Pp_fuel] Close Pm2_5_emfs Variable Pm_source_type Title: PM2.5 source type Definition: Table(Heat_system,Pm_source)(~ 0,0.25,0.75,~ 1,0,0,~ 1,0,0,~ 0,0,1,~ 0,0,1,~ 0,0,0~ ) Nodelocation: 200,352,1 Nodesize: 48,24 Defnstate: 2,256,209,416,303,0,MIDM Valuestate: 2,223,284,416,303,0,MIDM Reformdef: [Pm_source,Heat_system] Reformval: [Pm_source,Heat_system] Variable Exposure_mold Title: Exposure to mold and dampness Description: Fraction of exposed population Definition: 15/100 Nodelocation: 440,512,1 Nodesize: 48,24 Variable Erf_mold Title: ERF mold and asthma Description: OR= 1.56 ~ ~ RR=OR/(1-CR+(CR*OR))~ ~ Asthma prevalence in Finland: 8% Definition: 1.56/(1-0.08+(0.08*1.56)) Nodelocation: 440,568,1 Nodesize: 48,24 Nodecolor: 65535,52427,61166 Variable Exposure_radon Title: Exposure to radon Units: Bq/m3 Definition: 120 Nodelocation: 560,512,1 Nodesize: 48,24 Variable Erf_radon_lc Title: ERF radon and lung cancer Units: RR per Bq/m3 Definition: exp(ln(1.16)/100) Nodelocation: 560,568,1 Nodesize: 48,24 Nodecolor: 65535,52427,61166 Index Assess_year Title: Assess year Definition: [2010,2030] Nodelocation: 312,384,1 Nodesize: 48,12 Variable Erf_pm_rad Title: ERF PM2.5 and RAD Units: / 10 ug3 Description: AR, 15-64 years old Definition: 0.902 Nodelocation: 312,568,1 Nodesize: 48,24 Nodecolor: 65535,52427,61166 Variable Erf_pm_cb Title: ERF PM2.5 and chronic bronchitis Units: / 1 ug3 Description: AR, >27 years old Definition: 5.33E-05 Nodelocation: 312,624,1 Nodesize: 48,24 Nodecolor: 65535,52427,61166 Module Co2_emf Title: CO2 EMF Author: vkoe Date: 8. Febta 2011 9:41 Defaultsize: 48,24 Nodelocation: 432,152,1 Nodesize: 48,24 Diagstate: 2,710,322,356,224,17 Nodecolor: 52427,63897,65535 Variable Co2_emf1 Title: CO2 EMF Units: g/kWh Description: Motiva: ~ kaukolämpö 214 g/kWh (keskimäärin)~ kevyt polttoöljy 267 g/kWh~ sähkö: vaihtelee vuosittain, mutta on n. 200 g/kWh. Lämmitykseen käytetylle sähkölle käytetään kuitenkin kerrointa 400 g/kWh, joka huomioi sen, että suuri osa käytetystä sähköstä tuotetaan talvella. Definition: Table(Heat_system)(~ 214,267,0,400,400,0) Nodelocation: 200,48,1 Nodesize: 48,24 Windstate: 2,1180,635,476,224 Defnstate: 2,604,342,416,303,0,MIDM Variable Dh_pp_co2_emf Title: DH PP CO2 EMF Definition: Table(Pp_fuel,Dh_pp)(~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0~ ) Nodelocation: 96,48,1 Nodesize: 48,24 Defnstate: 2,191,706,416,303,0,MIDM Nodecolor: 65535,52427,61166 Reformdef: [Dh_pp,Pp_fuel] Variable Elect_pp_co2_emf Title: Elect PP CO2 EMF Definition: Table(Pp_fuel,Elect_pp)(~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0~ ) Nodelocation: 96,104,1 Nodesize: 48,24 Nodecolor: 65535,52427,61166 Reformdef: [Elect_pp,Pp_fuel] Close Co2_emf Module Personal_exposure_pm Title: Exposure to indoor PM2.5 Author: vkoe Date: 8. Febta 2011 9:41 Defaultsize: 48,24 Nodelocation: 80,440,1 Nodesize: 48,28 Diagstate: 2,32,26,700,485,17 Nodecolor: 52427,63897,65535 Variable Combustion_time Title: Combustion time Units: h Description: NEEDS: The combustion time. Thus, how long the wood is burned. One hour was used in scenario 4b, Table 5.5 (pages 154-155).~ ~ LAMA: combustion time is 24h/day because source strenght is averaged assuming a given burn time Definition: 24 Nodelocation: 432,112,1 Nodesize: 48,24 Windstate: 2,345,106,476,224 Nodecolor: 65535,52427,57888 Variable Emission_factor_ Title: Emission factor (R) Units: ug/h Description: NEEDS: Total PM10 emission (outdoor+indoor) is 7118750 ug/h for each hour of burning~ ~ LAMA model: an average daily emission rate of PM2.5 to indoors is 2690 ug/h assuming a given burn time in a day Definition: 2690 Nodelocation: 432,56,1 Nodesize: 48,24 Nodecolor: 65535,52427,57888 Variable Removal_factor_1 Title: Removal factor (R) Units: - Description: Removal factor describes the amount of pollutant that is removed through chimney. Value 0 means that all the emissions are emitted to indoor and 1 means that all the emissions emitted outdoor. The NEEDS report desctibes in page 157 that R is probably more than 0.99, possibly even 0.999.~ ~ The value 0.99 was used in Scenrio 4b.~ ~ 0.999 is used here, because it results in concentrations comparable to the LAMA model approach Definition: .999 Nodelocation: 432,168,1 Nodesize: 48,24 Nodecolor: 65535,52427,57888 Variable Pm_decay_rate Title: PM2.5 decay rate Units: /h Description: Removal rate(deposition rate) describes the removal of PM from indoor air. The value used here (0.5) is from the NEEDS report (page 154, Table 5.4).~ ~ LAMA model PM2.5 decay rate = normal(0.39, 0.09) Definition: 0.39 Nodelocation: 200,176,1 Nodesize: 48,24 Nodecolor: 65535,52427,57888 Variable Aeration_rate Title: Building aeration rate Units: 1/h Description: Aeration rate is air exchange rate. Thus, how fast the air exchange. The value 1 id from NEEDS report.~ ~ Aeration rate is assumed to be the sum of air exchange and air leak rate. AIr exchange should be 0.5/h~ ~ Air_leak_factor+0.5 Definition: Air_leak_factor+0.5 Nodelocation: 312,176,1 Nodesize: 48,24 Windstate: 2,785,103,476,224 Valuestate: 2,282,233,615,303,0,MIDM Nodecolor: 65535,52427,57888 Reformval: [Energy_class,Const_year] Variable Pm_emis_indoor Title: PM2.5 indoor emission Units: ug Description: Primary PM2.5 emissions to indoor air from domestic wood combustion.~ ~ Emission_factor_*Combustion_time*(1-Removal_factor_1)~ ~ Emission_factor_*Combustion_time*365~ ~ Definition: Domwood_pm_emis*(1-Removal_factor_1)*1000 Nodelocation: 432,256,1 Nodesize: 48,24 Windstate: 2,311,104,476,339 Defnstate: 2,47,32,416,303,0,MIDM Valuestate: 2,182,99,619,303,0,MIDM Nodecolor: 19661,48336,65535 Reformval: [Energy_class,Const_year] Att__totalsindex: Index Energy_class, Index Const_year {!40000|Att_resultslicestate: [Fu_period,3,Const_year,1,Energy_class,1]} Variable Volume_finland Title: Wood heated building volume Units: m3 Description: Total volume of wood heated houses in Finland. Average height assumed to be 2.5 m.~ ~ sum(Build_stock_current[Heat_system='Wood'], building_type)*2.5 Definition: sum(Bs_devel[Heat_system='Wood'], building_type)*2.5 Nodelocation: 80,256,1 Nodesize: 48,24 Windstate: 2,533,48,476,224 Valuestate: 2,280,290,596,303,0,MIDM Reformval: [Energy_class,Const_year] Variable Volume_indoor1 Title: Volume indoor Units: m3 Description: This node applies to lower part of NEEDS report equation 1 from page 84. Definition: (Aeration_rate+Pm_decay_rate)*24*365*Volume_finland Nodelocation: 200,256,1 Nodesize: 48,24 Windstate: 2,180,757,476,224 Valuestate: 2,538,219,499,303,0,MIDM Reformval: [Energy_class,Const_year] Variable Average_concentratio Title: PM2.5 indoor concentration Units: ug/m3 Description: Average indoor concentration of PM2.5 in year 2000 due to domestic wood combustion in different houses. Definition: var a:=Pm_emis_indoor/Volume_indoor1;~ a:=if Volume_indoor1=0 then 0 else a;~ a~ Nodelocation: 312,256,1 Nodesize: 48,24 Windstate: 2,439,71,476,283 Valuestate: 2,146,62,521,303,0,MIDM Nodecolor: 65535,19661,38773 Reformval: [Energy_class,Const_year] {!40000|Att_resultslicestate: [Fu_period,1,Const_year,1,Energy_class,1]} Variable Pop_frac_indoor_pm Title: Fraction of exposed population Description: The fraction of population exposed to wood smoke PM2.5 in different housing conditions.~ ~ Based on the fraction of wood heated building stock from the whole building stock. Definition: var a:=sum(Bs_devel,building_type);~ a[Heat_system='Wood']/sum(a,heat_system,const_year,energy_class)~ Nodelocation: 432,376,1 Nodesize: 48,24 Nodeinfo: 1,1,1,1,1,1,0,,0, Windstate: 2,128,50,762,314 Valuestate: 2,403,200,545,303,0,MIDM Nodecolor: 65535,52427,57888 Reformval: [Energy_class,Const_year] Att__totalsindex: Index Energy_class, Index Const_year {!40000|Att_resultslicestate: [Fu_period,1,Const_year,1,Energy_class,1]} Variable Population_average_e Title: Pop average indoor conc Units: ug/m3 Description: This node estimates population average exposure for domestic wood combustion generated PM2.5 emiddions through indoor. Thus, if only 14% of people are exposed to PM2.5in recreational building, then population average exposure is 14% of total exposure. Definition: sum(Average_concentratio*Pop_frac_indoor_pm,energy_class, const_year) Nodelocation: 312,376,1 Nodesize: 48,24 Nodeinfo: 1,1,1,1,1,1,0,,0, Windstate: 2,129,81,476,224 Valuestate: 2,451,126,416,303,0,MIDM Reformval: [Energy_class,Const_year] Variable Domwood_pm_emis Title: Dom wood comb PM2.5 emission Definition: (Pm_emf*((sum(Bs_devel*Q_heat_purchase, Building_type))*3.6))[Heat_system='Wood', Pm_source='DOM'] Nodelocation: 552,256,1 Nodesize: 48,24 Windstate: 2,310,661,476,224 Close Personal_exposure_pm Module District_heat_produc Title: District heat & electricity production Author: vkoe Date: 8. Febta 2011 9:41 Defaultsize: 48,24 Nodelocation: 432,288,1 Nodesize: 48,29 Diagstate: 2,287,211,337,257,17 Nodecolor: 52427,63897,65535 Index Pp_fuel {!40000|Att_previndexvalue: ['Oil','Wood','Natural gas','Peat','Coal']} Title: PP fuel Definition: ['Oil','Wood','Natural gas','Peat','Coal'] Nodelocation: 200,160,1 Nodesize: 48,12 Variable Dh_power_plant_frac Title: DH fuel frac Description: CHP voimalaitokset:~ *maakaasu 40%~ *kivihiili 25%~ *turve 17%~ *puu 12%~ ~ Lämpökeskukset:~ *maakaasu 29%~ *raskas polttoöljy 16%~ *puu 23%~ *turve 9%~ ~ Definition: Table(Pp_fuel,Dh_pp)(~ 0,0.5,~ 0.15,0.25,~ 0.4,0.25,~ 0.2,0,~ 0.25,0~ ) Nodelocation: 200,48,1 Nodesize: 48,24 Windstate: 2,102,90,476,425 Defnstate: 2,254,432,416,303,0,MIDM Valuestate: 2,268,372,416,303,0,MIDM Nodecolor: 19664,65535,19661 Reformdef: [Dh_pp,Pp_fuel] Reformval: [Dh_pp,Pp_fuel] Index Dh_pp {!40000|Att_previndexvalue: ['Large CHP','Small heat']} Title: DH PP Definition: ['Large CHP','Small heat'] Nodelocation: 96,80,1 Nodesize: 48,12 Variable Dh_production Title: DH production Description: Energiateollisuus, 2008: 75% suurissa yhteistuotantovoimaloissa ja 25% erillistuotantoa lämpökeskuksissa Definition: Table(Dh_pp)(~ 0.75,0.25) Nodelocation: 96,48,1 Nodesize: 48,24 Windstate: 2,102,90,476,224 Defnstate: 2,156,326,416,303,0,MIDM Nodecolor: 19664,65535,19661 Index Elect_pp {!40000|Att_previndexvalue: ['CHP','Lauhde']} Title: Elect PP Definition: ['CHP','Lauhde'] Nodelocation: 96,160,1 Nodesize: 48,12 Variable Electricity_producti Title: Electricity production Description: n. 40% CO2 ja PM neutraalilla tuotannolla (ydin-, vesi-, tuulivoima), 12% tuontisähköä, 30% yhteistuotantoa, loput lauhdevoimaa. Definition: Table(Elect_pp)(~ 0.3,0.18) Nodelocation: 96,128,1 Nodesize: 48,24 Windstate: 2,102,90,476,224 Defnstate: 2,186,280,416,303,0,MIDM Valuestate: 2,202,400,416,303,0,MIDM Nodecolor: 65535,52427,61166 Variable Electricity_fuel_fra Title: Electricity fuel frac Definition: Table(Pp_fuel,Elect_pp)(~ 0,0,~ 0.15,0.06,~ 0.4,0.05,~ 0.2,0.23,~ 0.25,0.66~ ) Nodelocation: 200,128,1 Nodesize: 48,24 Defnstate: 2,409,224,416,303,0,MIDM Valuestate: 2,302,349,416,303,0,MIDM Nodecolor: 65535,52427,61166 Reformdef: [Elect_pp,Pp_fuel] Reformval: [Elect_pp,Pp_fuel] Close District_heat_produc Variable Co2_emission Title: CO2 emission Units: t/a Definition: (Total_heat_purchase*Co2_emf1)/10^6 Nodelocation: 552,152,1 Nodesize: 48,24 Windstate: 2,490,708,476,224 Module Personal_exposure_to Title: Personal exposure to PM2.5 Author: vkoe Date: 10. Febta 2011 12:43 Defaultsize: 48,24 Nodelocation: 80,512,1 Nodesize: 48,29 Diagstate: 2,138,258,715,459,17 Nodecolor: 52427,63897,65535 Index Microenv {!40000|Att_previndexvalue: ['Outdoor','Home','Work','Other indoor','Traffic']} Title: Microenv Definition: ['Outdoor','Home','Work','Other indoor','Traffic'] Nodelocation: 488,80,1 Nodesize: 48,12 Windstate: 2,98,90,476,227 Variable Time_use Title: Pop average time use Definition: Table(Microenv)(~ 2/24,12/24,8/24,1/24,1/24) Nodelocation: 488,48,-3 Nodesize: 48,24 Windstate: 2,98,90,476,224 Defnstate: 2,734,677,357,204,0,MIDM Variable Pm_home Title: PM2.5 home Description: Outdoor air infiltration + average from indoor air sources Definition: var a:=Pm_outdoor*Pm_infiltration;~ ~ if heat_system = 'Wood' then a+Average_concentratio else a Nodelocation: 328,160,1 Nodesize: 48,24 Windstate: 2,907,709,489,224 Valuestate: 2,216,582,637,303,0,MIDM Reformval: [Energy_class,Const_year] {!40000|Att_resultslicestate: [Heat_system,3,Fu_period,1,Const_year,1,Energy_class,1]} Variable Pm_outdoor Title: Pop average PM2.5 outdoor exp Units: ug/m3 Description: Pop average exposure from all outdoor sources~ ~ Traffic~ Domestic wood combustion~ Power plants~ Industry~ Agriculture~ Long range transport~ Other Definition: 10 Nodelocation: 328,56,1 Nodesize: 48,29 Variable Pm_work Title: PM2.5 Work Definition: Pm_outdoor*Pm_infiltration Nodelocation: 328,216,1 Nodesize: 48,24 Variable Traffic_pm_ef Title: Traffic enrich factor Definition: 2.5 Nodelocation: 328,272,1 Nodesize: 48,24 Variable Building_pm_penet Title: Building PM2.5 penetration Description: Building penetration factor for PM2.5~ ~ LAMA: normal(1, 0.06) Definition: 1 Nodelocation: 96,160,1 Nodesize: 48,24 Variable Pm_infiltration Title: PM2.5 infiltration Definition: (Building_pm_penet*Aeration_rate)/(Aeration_rate+Pm_decay_rate) Nodelocation: 208,160,1 Nodesize: 48,24 Index Pm_outdoor_source Title: PM outdoor source Definition: ['Traffic','Domestic combustion','Power plants','Industry','Long range tran'] Nodelocation: 328,96,1 Nodesize: 48,16 Windstate: 2,1075,100,476,224 Variable Pm2_5_concentration Title: PM2.5 conc microenv Units: ug/m3 Definition: Table(Microenv)(~ Pm_outdoor,Pm_home,Pm_work,Pm_work,Pm_outdoor*Traffic_pm_ef) Nodelocation: 488,152,1 Nodesize: 48,24 Defnstate: 2,1154,634,416,303,0,MIDM Valuestate: 2,654,463,505,361,0,MIDM Reformval: [Const_year] {!40000|Att_resultslicestate: [Energy_class,1,Heat_system,1,Microenv,2,Const_year,1,Fu_period,1]} Variable Pers_pm Title: Personal PM2.5 exposure Definition: sum(Pm2_5_concentration*Time_use, microenv) Nodelocation: 488,216,1 Nodesize: 48,24 Valuestate: 2,925,650,627,303,0,MIDM Reformval: [Const_year] {!40000|Att_resultslicestate: [Energy_class,3,Heat_system,3,Const_year,1,Fu_period,1]} Variable Building_type_pop_fr Title: Building type pop Frac Definition: var a:=Bs_devel;~ a/sum(a,const_year,energy_class,heat_system,building_type) Nodelocation: 608,272,1 Nodesize: 48,24 Valuestate: 2,157,656,652,303,0,MIDM Reformval: [Building_type] Variable Pop_aver_personal_pm Title: Pop aver pers PM2.5 exposure Definition: sum(Pers_pm*Building_type_pop_fr, Const_year, building_type, heat_system,energy_class) Nodelocation: 488,272,1 Nodesize: 48,24 Valuestate: 2,273,287,416,303,0,MIDM Close Personal_exposure_to Variable New_houses_heat_sys Title: New houses heat systems Description: Fraction of all heat systems in the scenario Definition: Table(Bioher_heat_scenario,Bioher_heat_systems)(~ 0.05, 0.05, 0, 0, 0.6, 0.15, 0.15, 0 ,~ 1, 0, 0, 0, 0, 0, 0, 0 ,~ 0, 1, 0, 0, 0, 0, 0, 0 ,~ 0, 0, 1, 0, 0, 0, 0, 0 ,~ 0, 0, 0, 1, 0, 0, 0, 0 ,~ 0, 0, 0, 0, 1, 0, 0, 0 ,~ 0, 0, 0, 0, 0, 1, 0, 0 ,~ 0, 0, 0, 0, 0, 0, 1, 0 ,~ 0, 0, 0, 0, 0.7, 0, 0, 0.3 ~ ) Nodelocation: 928,104,1 Nodesize: 48,23 Windstate: 2,98,90,476,300 Defnstate: 2,165,322,873,319,0,MIDM Valuestate: 2,177,382,703,303,0,MIDM Nodecolor: 65535,52427,61166 Reformdef: [Bioher_heat_systems,Bioher_heat_scenario] Reformval: [Bioher_heat_systems,Bioher_heat_scenario] Variable New_houses_size Title: New houses size Units: m2 Description: v. 2010 rakennettujen omakotitalojen koko (ka, tilastokeskuksen datoista laskettu) Definition: 173 Nodelocation: 928,152,1 Nodesize: 48,20 Nodecolor: 65535,52427,61166 Decision Bioher_heat_scenario Title: BIOHER heat scenarios Definition: ['BAU','Oil','Pellet','Local district, oil','Local district, wood','Electricity','Geothermal','District, current','Electricity+wood'] Nodelocation: 928,48,1 Nodesize: 48,24 Windstate: 2,98,90,494,288 {!40000|Att_previndexvalue: ['BAU','Oil','Pellet','Local district, oil','Local district, wood','Electricity','Geothermal','District, current','Electricity+wood']} Variable New_houses_unit_hp Title: New houses unit heat purchase Units: kWh/m2/a Definition: var a:= Q_heat_purchase[building_type='Detached house',energy_class='Current standard',const_year='2010'];~ ~ Table(Bioher_heat_systems)(~ a[heat_system='Light oil'], a[heat_system='Wood'], a[heat_system='District'], a[heat_system='District'], a[heat_system='Electricity'], a[heat_system='Geothermal'], a[heat_system='District'], (a[heat_system='Wood']*0.3+a[heat_system='Electricity']*0.7) ) Nodelocation: 784,152,4 Nodesize: 48,24 Windstate: 2,98,90,476,370 Defnstate: 2,526,451,447,303,0,MIDM Valuestate: 2,186,360,605,303,0,MIDM Reformdef: [Ee_new_house,Bioher_heat_systems] Reformval: [Fu_period,Bioher_heat_systems] {!40000|Att_resultslicestate: [Heat_system,1,Self,1,Bioher_heat_systems,1,Fu_period,1]} Index Ee_new_house Title: EE new house Definition: ['Standard','Low energy'] Nodelocation: 784,184,2 Nodesize: 56,12 Variable New_houses_heat_purc Title: New houses heat purchase Units: kWh/a Definition: New_houses_heat_sys*New_houses_size*New_houses_unit_hp*New_houses_number Nodelocation: 928,280,3 Nodesize: 48,29 Windstate: 2,98,90,476,320 Valuestate: 2,167,325,873,302,0,MIDM Reformval: [Bioher_heat_systems,Bioher_heat_scenario] Att__totalsindex: Index Bioher_heat_systems {!40000|Att_resultslicestate: [Fu_period,2,Bioher_heat_scenario,1,Bioher_heat_systems,5]} Variable Pm2_5_unit_emission Title: PM2.5 unit emission Definition: Table(Pm_source,Bioher_heat_systems)(~ 30,30,0,0,0,0,0,100,~ 0,0,10,50,0,0,10,0,~ 0,0,0,0,4.8,4.8,17.5,0~ ) Nodelocation: 784,352,1 Nodesize: 48,24 Defnstate: 2,256,283,416,303,0,MIDM Nodecolor: 65535,52427,61166 Reformdef: [Pm_source,Bioher_heat_systems] Reformval: [Pm_source,Bioher_heat_systems] Module Model2 Title: Health impacts Description: Model to calculate DALYs for environmental exposures. Node 'Exposure scenarios' contains three scenarios (Business-as-usual, Increasing exposure, and decreasing exposure). Calculation is divided to mortality and morbidity. Morbidity calculation utilizes DALY weights and duration of disease to yield YLD (Years of Life lost due to Disease), and mortality calculation yields YLL (Years of Life Lost). In the end, these two values are added and the results are DALYs in scenarios.~ ~ Pink nodes are source data nodes inputted by a user. Author: ktluser Date: Fri, Apr 11, 2008 9:48 AM Defaultsize: 48,24 Nodelocation: 440,680,1 Nodesize: 48,28 Nodeinfo: 1,1,0,1,1,1,0,,0, Diagstate: 2,177,172,867,762,17 Nodecolor: 52427,58983,65535 Fontstyle: Arial, 12 Variable Start_year Title: Assessment start year Description: Start year of the assessment. Definition: 2005 Nodelocation: 80,424,1 Nodesize: 48,24 Nodecolor: 65535,52427,57888 Variable Followup_time Title: Follow-up period Units: Years Description: Number of follow-up years Definition: 35 Nodelocation: 80,512,1 Nodesize: 48,24 Valuestate: 2,120,130,416,303,0,MIDM Nodecolor: 65535,52427,57888 Variable Input_mort_risk Title: Input mortality risk Units: - Description: Annual mortality rate in BAU scenario. Definition: var a:=Mort_data/Pop_data;~ ~ a:=if isnan(a)=1 then 0 else a;~ ~ if a = inf then 0 else a Nodelocation: 264,208,1 Nodesize: 48,24 Windstate: 2,176,259,494,409 Valuestate: 2,176,116,467,818,0,MIDM Nodecolor: 19661,48336,65535 Reformval: [Mort_endpoint_bioher,Age] Att__totalsindex: Index Mort_endpoint_bioher {!40000|Att_resultslicestate: [Age1,2,Sex,1,Age_cat,1,Cause_of_death,1]} Variable Pop_data Title: Population data Description: Annual total population Definition: Table(Age,Sex)(~ 56.6834K,~ 56.6834K,~ 56.6834K,~ 56.6834K,~ 56.6834K,~ 60.615K,~ 60.615K,~ 60.615K,~ 60.615K,~ 60.615K,~ 66.1678K,~ 66.1678K,~ 66.1678K,~ 66.1678K,~ 66.1678K,~ 63.786K,~ 63.786K,~ 63.786K,~ 63.786K,~ 63.786K,~ 66.42360000000001K,~ 66.42360000000001K,~ 66.42360000000001K,~ 66.42360000000001K,~ 66.42360000000001K,~ 65.8828K,~ 65.8828K,~ 65.8828K,~ 65.8828K,~ 65.8828K,~ 61.4958K,~ 61.4958K,~ 61.4958K,~ 61.4958K,~ 61.4958K,~ 72.47440000000001K,~ 72.47440000000001K,~ 72.47440000000001K,~ 72.47440000000001K,~ 72.47440000000001K,~ 75.9178K,~ 75.9178K,~ 75.9178K,~ 75.9178K,~ 75.9178K,~ 76.9778K,~ 76.9778K,~ 76.9778K,~ 76.9778K,~ 76.9778K,~ 80.20660000000001K,~ 80.20660000000001K,~ 80.20660000000001K,~ 80.20660000000001K,~ 80.20660000000001K,~ 80.29120000000001K,~ 80.29120000000001K,~ 80.29120000000001K,~ 80.29120000000001K,~ 80.29120000000001K,~ 54.3002K,~ 54.3002K,~ 54.3002K,~ 54.3002K,~ 54.3002K,~ 48.0772K,~ 48.0772K,~ 48.0772K,~ 48.0772K,~ 48.0772K,~ 41.4752K,~ 41.4752K,~ 41.4752K,~ 41.4752K,~ 41.4752K,~ 34.9876K,~ 34.9876K,~ 34.9876K,~ 34.9876K,~ 34.9876K,~ 23.3004K,~ 23.3004K,~ 23.3004K,~ 23.3004K,~ 23.3004K,~ 11.2926K,~ 11.2926K,~ 11.2926K,~ 11.2926K,~ 11.2926K,~ 4394.400000000001,~ 4394.400000000001,~ 4394.400000000001,~ 4394.400000000001,~ 4394.400000000001,~ 886.6,~ 886.6,~ 886.6,~ 886.6,~ 886.6~ ) Nodelocation: 416,208,1 Nodesize: 48,24 Windstate: 2,106,219,484,386 Defnstate: 2,261,166,356,524,0,MIDM Valuestate: 2,164,80,273,772,0,MIDM Nodecolor: 65535,52427,61166 Reformdef: [Sex,Age] Reformval: [Sex,Age] Att__totalsindex: Index Age, Index Age_cat Index Age Title: Age Description: List of age in 1 year year intervals. Definition: Sequence( 0, 99, 1 ) Nodelocation: 416,240,1 Nodesize: 48,12 {!40000|Att_previndexvalue: [0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99]} Variable Morb_data Title: Morbidity data Units: cases/a Description: Annual number of morbidity cases due to a given cause-of-morbidity.~ Definition: Table(Age,Morb_endpoint,Sex)(~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0,~ 0~ ) Nodelocation: 576,112,1 Nodesize: 48,24 Windstate: 2,107,127,476,264 Defnstate: 2,163,191,514,530,0,MIDM Valuestate: 2,177,164,456,499,0,MIDM Nodecolor: 65535,52427,61166 Reformdef: [Morb_endpoint,Age] Reformval: [Morb_endpoint,Age] Att__totalsindex: Index Age_cat {!40000|Att_resultslicestate: [Gender,1,Age_cat,1,Morbidity,1]} {!40000|Att_editslicestate: [Gender,1,Age_cat,1,Morbidity,2]} Variable Input_morb_risk Title: Input morbidity risk Description: Annual morbidity rate in BAU scenario. Definition: var a:=Morb_data/Pop_data;~ ~ a:=if isnan(a)=1 then 0 else a;~ ~ if a = inf then 0 else a Nodelocation: 576,208,1 Nodesize: 48,24 Windstate: 2,66,175,506,335 Valuestate: 2,208,78,499,796,0,MIDM Nodecolor: 19661,48336,65535 Reformval: [Morb_endpoint,Age] Att__totalsindex: Index Morb_endpoint {!40000|Att_resultslicestate: [Sex,1,Age1,1,Morbidity,1]} Variable Morb_risk_scenarios Title: Morbidity risk scenarios Units: - Description: Annual morbidity risk in different exposure scenarios. Calculated only for those morbidity endpoints for which baseline morbidity data is provided. Definition: var a:= Exposures;~ var b:= Morbidity_erf;~ var c:= Morb_erf_unit;~ c:= if c = 0 then 1 else c;~ var d:=Pop_frac;~ ~ var e:= exp(ln(b[Erf_type='Relative Risk'])/c*a[@Fu_period=1]);~ Var f:=((e*d)+(1-d))[Exposure='Reference'];~ var g:=((e*d)+(f*(1-d)))[Exposure='BAU'];~ g:=((g-1)/g);~ g:= Input_morb_risk*(1-g);~ ~ f:=Table(Exposure)(f, f, 1);~ e:= exp(ln(b[Erf_type='Relative Risk'])/c*a);~ f:=(e*d)+(f*(1-d));~ f*g~ Nodelocation: 576,280,1 Nodesize: 48,24 Windstate: 2,140,145,643,472 Defnstate: 2,603,496,559,303,0,MIDM Valuestate: 2,166,156,519,497,0,MIDM Nodecolor: 19661,48336,65535 Reformval: [Exposure,Age] {!40000|Att_resultslicestate: [Sex,1,Morb_endpoint,1,Fu_period,1,Age,1,Exposure,1]} Log: 20.11.2008 Olli Leino~ Replaced the definition by table indexed by Morbidity:~ ~ Base_morb_rate[Morbidity='Respiratory diseases']*(1+Morb_risk_change)~ Base_morb_rate[Morbidity='Cardiovascular diseases']*(1+Morb_risk_change)~ ~ Old definition was:~ ~ Base_morb_rate*(1+Morb_risk_change) Variable Age_weight Title: Age weight Description: What are the most valuable ages in human life? Definition: If Age_weighting= 'Yes' then~ ~ var a:=0.1658*Age*exp(-0.04*Age);~ sum(if floor(Age/5)+1 = @age_cat then a else 0 , Age)/5~ ~ else 1~ Nodelocation: 744,376,1 Nodesize: 48,12 Windstate: 2,185,183,476,341 Defnstate: 2,168,7,416,585,0,MIDM Valuestate: 2,189,167,362,363,0,MIDM Nodecolor: 19661,48336,65535 Variable Birth_rate Title: Birth rate Units: births/year Description: Annual number of births Definition: Table(Sex,Fu_year)(~ 0,0,0,0,0,57K,57K,57K,57K,57K,57K,57K,57K,57K,57K,57K,57K,57K,57K,57K,57K,57K,57K,57K,57K,57K,57K,57K,57K,57K,57K,57K,57K,57K,57K~ ) Nodelocation: 80,368,1 Nodesize: 48,24 Windstate: 2,174,211,476,224 Defnstate: 2,264,245,388,472,0,MIDM Valuestate: 2,292,307,416,482,0,MIDM Nodecolor: 65535,52427,61166 Reformdef: [Sex,Fu_year] Reformval: [Sex,Fu_year] Reference: N:\Huippuyksikko\Tutkimus\R89_Daly\TICT_data.xls~ Tilastokeskus:~ http://www.stat.fi/til/synt/2007/synt_2007_2008-05-02_tie_001_fi.htm~ Variable Discount Title: Annual discount rate Units: % Description: Annual time discount rate for future loss of life Definition: 0 Nodelocation: 744,416,1 Nodesize: 48,16 Valuestate: 2,234,206,416,303,0,MIDM Nodecolor: 65535,52427,61166 Variable Mort_data Title: Mortality data Units: deaths/a Description: Annual number of deaths due to a given cause-of-death~ ~ Note! All causes of death must be included in the node dataset because the life table modelling is based on total mortality.~ Definition: Table(Age,Sex,Mort_endpoint_bioher)(~ 40.8,9,~ 40.8,9,~ 40.8,9,~ 40.8,9,~ 40.8,9,~ 3.8,6.4,~ 3.8,6.4,~ 3.8,6.4,~ 3.8,6.4,~ 3.8,6.4,~ 4.6,6,~ 4.6,6,~ 4.6,6,~ 4.6,6,~ 4.6,6,~ 7,23.6,~ 7,23.6,~ 7,23.6,~ 7,23.6,~ 7,23.6,~ 10.2,39.8,~ 10.2,39.8,~ 10.2,39.8,~ 10.2,39.8,~ 10.2,39.8,~ 12.4,34.6,~ 12.4,34.6,~ 12.4,34.6,~ 12.4,34.6,~ 12.4,34.6,~ 17.8,30.8,~ 17.8,30.8,~ 17.8,30.8,~ 17.8,30.8,~ 17.8,30.8,~ 48.6,50.8,~ 48.6,50.8,~ 48.6,50.8,~ 48.6,50.8,~ 48.6,50.8,~ 92.2,64.40000000000001,~ 92.2,64.40000000000001,~ 92.2,64.40000000000001,~ 92.2,64.40000000000001,~ 92.2,64.40000000000001,~ 166.4,81.2,~ 166.4,81.2,~ 166.4,81.2,~ 166.4,81.2,~ 166.4,81.2,~ 302.6,93.2,~ 302.6,93.2,~ 302.6,93.2,~ 302.6,93.2,~ 302.6,93.2,~ 457.8,97.2,~ 457.8,97.2,~ 457.8,97.2,~ 457.8,97.2,~ 457.8,97.2,~ 475.2,58.8,~ 475.2,58.8,~ 475.2,58.8,~ 475.2,58.8,~ 475.2,58.8,~ 643,59.4,~ 643,59.4,~ 643,59.4,~ 643,59.4,~ 643,59.4,~ 919.4,55.6,~ 919.4,55.6,~ 919.4,55.6,~ 919.4,55.6,~ 919.4,55.6,~ 1312,60.4,~ 1312,60.4,~ 1312,60.4,~ 1312,60.4,~ 1312,60.4,~ 1560,59.6,~ 1560,59.6,~ 1560,59.6,~ 1560,59.6,~ 1560,59.6,~ 1355.4,44.4,~ 1355.4,44.4,~ 1355.4,44.4,~ 1355.4,44.4,~ 1355.4,44.4,~ 895.6,38.4,~ 895.6,38.4,~ 895.6,38.4,~ 895.6,38.4,~ 895.6,38.4,~ 301.2,11.8,~ 301.2,11.8,~ 301.2,11.8,~ 301.2,11.8,~ 301.2,11.8~ ) Nodelocation: 264,120,1 Nodesize: 48,24 Windstate: 2,164,118,514,452 Defnstate: 2,231,183,389,490,0,MIDM Valuestate: 2,235,136,472,503,0,MIDM Nodecolor: 65535,52427,61166 Reformdef: [Mort_endpoint_bioher,Age] Reformval: [Mort_endpoint_bioher,Age] Att__totalsindex: Index Age, Index Age_cat, Index Mort_endpoint_bioher {!40000|Att_resultslicestate: [Sex,1,Age_cat,1,Cause_of_death,1]} {!40000|Att_editslicestate: [Sex,2,Age1,1,Mort_endpoint,1]} Variable Mort_risk_scenarios Title: Mortality risk scenarios Units: - Description: Annual mortality risk in different exposure scenarios.~ Definition: var a:= Exposures;~ var b:= Mortality_erf;~ var c:= Mort_erf_unit;~ c:= if c = 0 then 1 else c;~ var d:=Pop_frac;~ ~ var e:= exp(ln(b[Erf_type='Relative Risk'])/c*a[@Fu_period=1]);~ Var f:=((e*d)+(1-d))[Exposure='Reference'];~ var g:=((e*d)+(f*(1-d)))[Exposure='BAU'];~ g:=(g-1)/g;~ g:= Input_mort_risk*(1-g);~ ~ f:=Table(Exposure)(f, f, 1);~ e:= exp(ln(b[Erf_type='Relative Risk'])/c*a);~ f:=(e*d)+(f*(1-d));~ g:=f*g;~ ~ Var h:= a-a[Exposure='BAU', @Fu_period=1];~ h:= b[Erf_type='Absolute Risk']/c*h*d;~ ~ sum(Table(Erf_type)(g,h),Erf_type)~ Nodelocation: 264,280,1 Nodesize: 48,24 Windstate: 2,121,109,630,827 Defnstate: 2,131,524,556,303,0,MIDM Valuestate: 2,206,175,448,775,0,MIDM Nodecolor: 19661,48336,65535 Reformval: [Mort_endpoint_bioher,Age] Att__totalsindex: Index Mort_endpoint_bioher {!40000|Att_resultslicestate: [Sex,1,Exposure,3,Fu_period,1,Age,100,Mort_endpoint,2]} Objective Le_cohort Title: Life expectancy in birth cohort Units: Years Description: Life-expectancy for a birth cohort exposed to the given level throughout the entire life. Definition: var a:= sum(Mort_risk_scenarios,Mort_endpoint_bioher);~ ~ a:= if Mort_effect = 'Acute' then a[Exposure='BAU'] else a;~ ~ a:=a[Fu_period=period_lt];~ a:= if a = null then a[Exposure='Reference',Period_lt=max(Fu_period)] else a;~ a:= Si_pi(a, 5, Period_lt, Year_lt, Year_help)*5;~ ~ a:=if a < 0 then 0 else a;~ a:=if a>1 then 1 else a;~ ~ a:= 1-a;~ ~ var b:=1;~ var c:=0;~ var d:=0;~ var x:= 0;~ while x<=99 do (~ c:=b*a[Age=x, @Year_lt=x+1];~ d:=d+c+(b-c)/2;~ b:=c;~ x:= x+1); ~ ~ d~ ~ ~ ~ Nodelocation: 368,392,1 Nodesize: 48,24 Windstate: 2,91,93,539,715 Valuestate: 2,177,439,429,195,0,MIDM Nodecolor: 65535,19661,38773 Reformval: [Exposure,Sex,Undefined,2] Att__totalsindex: Index Age, Index Mort_endpoint_bioher {!40000|Att_resultslicestate: [Sex,1,Period_lt,4,Age,1,Exposure,1]} Reference: Figure 1:~ Graphs1~ Log: Tainio Life-Table Objective Ab_morbidity_spec Title: Morbidity, specified Units: cases Description: Morbidity cases attributable to the exposure in different scenarios. Definition: var a:= Exposures;~ var b:= Morbidity_erf;~ var c:= Morb_erf_unit;~ c:= if c = 0 then 1 else c;~ var d:= Pop_frac;~ var e:= Morb_risk_scenarios;~ ~ var f:= b[Erf_type='Absolute Risk']/c*a*d;~ ~ var g:=sum(Table(Erf_type)(e,f),erf_type);~ g:=if g<0 then 0 else g;~ g:= sum(if floor(Age/5)+1 = @age_cat then g else 0, Age)/5;~ g:=g-g[Exposure='Reference'];~ ~ g:=g*Pop_in_time_ave;~ var h:=Table(Time_unit)(g, g*5);~ h:= if Followup_time <2 then g else h;~ ~ if Outcome= 'Change in EBD' then h[Exposure='Alternative']-h[Exposure='BAU'] else h~ ~ ~ Nodelocation: 576,424,1 Nodesize: 48,20 Windstate: 2,251,183,531,758 Valuestate: 2,179,198,564,526,0,MIDM Nodecolor: 65535,19661,38773 Reformval: [Fu_period,Age_cat] Att__totalsindex: Index Age, Index Age_cat {!40000|Att_resultslicestate: [Sex,1,Morb_endpoint,2,Exposure,1,Time_unit,1,Age_cat,1,Fu_period,1]} Objective Yll_spec Title: YLL, specified Units: years Description: Years of life lost due to mortality attributable to the exposure of interest Definition: if Mort_effect = 'Acute' then ~ ~ Ab_mortality_spec*Life_lost*Pv_life_year[period_lt=Fu_period]*Age_weight~ ~ else if App_yll = 'Direct' then~ ~ var a:=Life_years;~ a:= (a[Exposure='Reference']-a);~ if Outcome= 'Change in EBD' then a[Exposure='Alternative']-a[Exposure='BAU'] else a~ ~ else~ ~ Ab_mortality_spec*Ad_le[Exposure='Reference']*Pv_life_year[Period_lt=Fu_period]~ Nodelocation: 264,576,1 Nodesize: 48,12 Windstate: 2,78,94,550,810 Valuestate: 2,13,96,562,448,0,MIDM Nodecolor: 65535,19661,38773 Reformval: [Fu_period,Age_cat,Undefined,Undefined,1] Att__totalsindex: Index Age, Index Age_cat, Index Mort_endpoint_bioher {!40000|Att_resultslicestate: [Bioher_heat_scenario,1,Sex,1,Time_unit,1,Mort_endpoint_bioher,0,Exposure,1,Age_cat,1,Fu_period,1]} Objective Yld_spec Title: YLD, specified Units: years Description: Years of life lost due to morbidity attributable to the exposure of interest. Definition: ~ var a:= Ab_morbidity_spec*Duration*Daly_weight*Pv_life_year[period_lt=Fu_period];~ ~ if isnan(a)=1 then 0 else a~ ~ Nodelocation: 576,576,1 Nodesize: 48,12 Windstate: 2,106,126,565,408 Valuestate: 2,124,295,654,548,0,MIDM Nodecolor: 65535,19661,38773 Reformval: [Fu_period,Age_cat] Att__totalsindex: Index Age, Index Fu_period, Index Age_cat, Index Morb_endpoint {!40000|Att_resultslicestate: [Sex,1,Time_unit,2,Exposure,1,Morb_endpoint,2,Age_cat,1,Fu_period,1]} Objective Daly_spec Title: DALY, specified Units: years Description: Annual loss of disability adjusted life years attributable to the exposure in different scenarios.~ Definition: if App_yll = 'Direct' then~ ~ Yll_spec+sum(Yld_spec[Fu_period=period_lt, time_unit='5-year period'],morb_endpoint)~ ~ else~ ~ sum(Yll_spec,Mort_endpoint_bioher)+sum(Yld_spec,Morb_endpoint) Nodelocation: 416,576,1 Nodesize: 48,20 Windstate: 2,107,95,476,419 Defnstate: 2,191,289,416,303,0,MIDM Valuestate: 2,225,149,436,533,0,MIDM Nodecolor: 65535,19661,38773 Reformval: [Period_lt,Age_cat,Undefined,Undefined,1] Att__totalsindex: Index Age, Index Age_cat, Index Period_lt {!40000|Att_resultslicestate: [Sex,1,Exposure,1,Age_cat,0,Period_lt,1]} Alias Cause_of_death2 Title: Cause of death Definition: 1 Nodelocation: 264,152,1 Nodesize: 52,12 Original: Mort_endpoint_bioher Alias Morbidity2 Title: Morbidity Definition: 1 Nodelocation: 576,144,1 Nodesize: 52,12 Original: Morb_endpoint Module Help_nodes Title: Technical nodes Author: vkoe Date: 21. Janta 2009 9:47 Defaultsize: 48,24 Nodelocation: 744,64,1 Nodesize: 48,24 Nodeinfo: 1,0,0,1,1,1,0,,0, Diagstate: 2,1241,471,572,491,17 Index Fu_period Title: Follow-up period Definition: sequence(Start_year,Start_year+(Followup_time-1),5) Nodelocation: 448,176,1 Nodesize: 48,16 Windstate: 2,90,70,476,224 Valuestate: 2,116,494,416,303,0,MIDM Reformval: [Undefined,Self] {!40000|Att_previndexvalue: [2005,2010,2015,2020,2025,2030,2035]} Index Age_cat {!40000|Att_previndexvalue: ['0-4','5-9','10-14','15-19','20-24','25-29','30-34','35-39','40-44','45-49','50-54','55-59','60-64','65-69','70-74','75-79','80-84','85-89','90-94','95+']} Title: Age cat Description: Age categories used in morbidity datasets. Definition: ['0-4','5-9','10-14','15-19','20-24','25-29','30-34','35-39','40-44','45-49','50-54','55-59','60-64','65-69','70-74','75-79','80-84','85-89','90-94','95+'] Nodelocation: 96,224,1 Nodesize: 48,12 Windstate: 2,25,12,335,453 Valuestate: 2,754,375,416,462,0,MIDM Index Sex Title: Sex Definition: If Sex_class='Yes' then Copyindex(Sex_yes) else Copyindex(Sex_no) Nodelocation: 96,88,1 Nodesize: 48,12 Windstate: 2,102,90,476,224 {!40203|Att_slicerpopupsize: 227,28} {!40000|Att_previndexvalue: ['Male/female']} Function Si_pi(data, kerroin;karkea,tarkka:indextype;indtieto) Title: Si_pi Description: Data = data to be divided into more detailed parts~ Kerroin = relative weight inside a cluster~ Karkea = index for the clustered data~ Tarkka = index for the detailed data~ Indtieto = Data about which detailed item belongs to which cluster~ ~ esim: Si_pi1(Base_mortality, 5, Age_cat, age1, Age_help) (baseline mortality from 5-year age categories to 1-year age categories) Definition: var a:=sum((if indtieto=karkea then kerroin else 0), tarkka);~ a:= sum((if indtieto=karkea then a else 0), karkea);~ a:= kerroin/a;~ sum((if indtieto=karkea then data*a else 0), karkea) Nodelocation: 208,48,1 Nodesize: 48,24 Windstate: 2,372,218,476,494 Paramnames: data,kerroin,karkea,tarkka,indtieto Variable Age_help Title: Age help Description: A help node to group age index~ ~ This node is used in transforming morbidity and mortality datasets in 5 year intervals into 1 year interval datasets. Definition: Table(Age)(~ '0-4','0-4','0-4','0-4','0-4','5-9','5-9','5-9','5-9','5-9','10-14','10-14','10-14','10-14','10-14','15-19','15-19','15-19','15-19','15-19','20-24','20-24','20-24','20-24','20-24','25-29','25-29','25-29','25-29','25-29','30-34','30-34','30-34','30-34','30-34','35-39','35-39','35-39','35-39','35-39','40-44','40-44','40-44','40-44','40-44','45-49','45-49','45-49','45-49','45-49','50-54','50-54','50-54','50-54','50-54','55-59','55-59','55-59','55-59','55-59','60-64','60-64','60-64','60-64','60-64','65-69','65-69','65-69','65-69','65-69','70-74','70-74','70-74','70-74','70-74','75-79','75-79','75-79','75-79','75-79','80-84','80-84','80-84','80-84','80-84','85-89','85-89','85-89','85-89','85-89','90-94','90-94','90-94','90-94','90-94','95+','95+','95+','95+','95+') Nodelocation: 208,120,1 Nodesize: 48,24 Nodeinfo: 1,1,0,1,1,1,0,,0, Defnstate: 2,85,271,416,571,0,MIDM Nodecolor: 65535,65531,1 Index Sex_yes Title: Sex yes Definition: ['Male','Female'] Nodelocation: 96,40,1 Nodesize: 48,12 Index Sex_no Title: Sex no Definition: ['Male/female'] Nodelocation: 96,64,1 Nodesize: 48,12 Variable Outcome_scen_help Title: Outcome scen help Definition: Table(Age_cat)(~ 'All ages','All ages','All ages','All ages','All ages','All ages','All ages','All ages','All ages','All ages','All ages','All ages','All ages','All ages','All ages','All ages','All ages','All ages','All ages','All ages') Nodelocation: 208,176,1 Nodesize: 48,24 Nodeinfo: 1,0,0,1,1,1,0,,0, Defnstate: 2,198,274,416,303,0,MIDM Nodecolor: 65535,65531,1 Decision Mort_effect Title: Type of mortality effect Definition: Choice(Self,1) Nodelocation: 328,48,1 Nodesize: 48,24 Windstate: 2,169,50,476,224 Valuestate: 2,301,363,416,303,0,MIDM Domain: ['Chronic','Acute'] Index Erf_type Title: ERF type Definition: ['Relative Risk','Absolute Risk'] Nodelocation: 96,128,1 Nodesize: 48,12 {!40000|Att_previndexvalue: ['Relative Risk','Absolute Risk']} Decision App_yll Title: Approach for YLL calculation Definition: Choice(Self,2) Nodelocation: 328,176,1 Nodesize: 48,29 Windstate: 2,265,286,476,224 Valuestate: 2,284,345,416,303,0,MIDM Aliases: Formnode Approach_for_yll_cal Domain: ['Direct','Indirect'] Variable Year_help Title: Year help Definition: var a:= if year_lt >= period_lt and year_lt< period_lt+5 then period_lt else 0;~ sum(a,period_lt) Nodelocation: 208,232,1 Nodesize: 48,24 Windstate: 2,102,90,476,224 Defnstate: 2,120,130,424,513,0,MIDM Valuestate: 2,458,169,416,679,0,MIDM Nodecolor: 65535,65532,19661 Decision Outcome Title: Outcome of interest Definition: Choice(Self,1) Nodelocation: 328,112,1 Nodesize: 48,24 Aliases: Formnode Outcome_of_interest Domain: ['EBD','Change in EBD'] Index Pop_unit Title: Population unit Definition: ['Total population','100000 population'] Nodelocation: 96,160,1 Nodesize: 48,16 {!40203|Att_slicerpopupsize: 232,42} Index Time_unit Title: Time unit Definition: ['Average annual','5-year period'] Nodelocation: 96,192,1 Nodesize: 48,12 Windstate: 2,275,208,476,224 {!40203|Att_slicerpopupsize: 232,42} Variable Period_vs_year Title: Period vs year Definition: var a:= if Year_lt = Period_lt then Period_lt else 0;~ sum(a,Year_lt)~ Nodelocation: 448,56,1 Nodesize: 48,24 Valuestate: 2,360,165,501,494,0,MIDM Reformval: [Fu_year,Fu_period] Index Year_lt Title: Year LT Definition: if App_yll = 'Direct' then sequence(Start_year,Start_year+Followup_time+99,1) ~ else~ sequence(Start_year,Start_year+104,1) Nodelocation: 448,108,1 Nodesize: 48,12 Valuestate: 2,537,377,416,303,0,MIDM Index Period_lt Title: Period LT Definition: if App_yll = 'Direct' then sequence(Start_year,Start_year+Followup_time+99,5)~ else~ sequence(Start_year,Start_year+104,5) Nodelocation: 448,136,1 Nodesize: 48,12 Windstate: 2,258,313,476,224 Valuestate: 2,415,203,450,537,0,MIDM Index Fu_year Title: Follow-up year Definition: sequence(Start_year,Start_year+(Followup_time-1),1) Nodelocation: 448,208,1 Nodesize: 48,16 Valuestate: 2,447,277,436,438,0,MIDM {!40000|Att_previndexvalue: [2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019,2020,2021,2022,2023,2024,2025,2026,2027,2028,2029,2030,2031,2032,2033,2034,2035,2036,2037,2038,2039]} Variable Year_spec Title: Year specific input data Description: Is the input data for exposure/health outcome follow up -year specific? Definition: if Assessment_type='Exposure scenarios' then Exp_year_class else Ys_change_mort Nodelocation: 96,272,1 Nodesize: 48,24 Windstate: 2,200,186,476,224 Index Morb_endpoint {!40000|Att_previndexvalue: ['Chronic bronchitis','RAD']} Title: Morb endpoints Description: Morbidity endpoints included in the assessment.~ ~ Type in the list into the definition field. Press 'Enter' to add new rows and 'Back' to remove rows. When the list is complete press 'Alt' + 'Enter'. Definition: ['Chronic bronchitis','RAD'] Nodelocation: 200,424,1 Nodesize: 52,21 Windstate: 2,151,56,476,275 Valuestate: 2,612,556,416,303,0,MIDM Aliases: Alias Morbidity2 {!40203|Att_slicerpopupsize: 227,42} Index Mort_endpoint_bioher Title: Mort endpoints Description: Causes of death -classification used in the assessment.~ ~ Type in the list into the definition field. Press 'Enter' to add new rows and 'Back' to remove rows. When the list is complete press 'Alt' + 'Enter'. Definition: ['Non-accidental','Accidental'] Nodelocation: 104,424,1 Nodesize: 52,21 Windstate: 2,107,90,476,266 Aliases: Alias Cause_of_death2 {!40000|Att_previndexvalue: ['Non-accidental','Accidental']} Decision Sex_class Title: Sex specified impact assessment Definition: Choice(Self,1) Nodelocation: 96,360,1 Nodesize: 48,32 Nodeinfo: 1,1,0,1,1,1,0,,0, Domain: ['No','Yes'] Decision Assessment_type Title: Starting point for the assessment Definition: Choice(Self,1) Nodelocation: 208,360,1 Nodesize: 48,32 Nodeinfo: 1,1,0,1,1,1,0,,0, Windstate: 2,102,90,476,224 Domain: ['Exposure scenarios','Health outcome scenarios','Total burden of disease'] Module Nodes3 Title: BoD Author: jtue Date: 17. huhta 2009 14:34 Defaultsize: 48,24 Nodelocation: 448,272,1 Nodesize: 48,24 Diagstate: 1,37,36,261,192,17 Variable As_total_yll Title: Age-specific total YLL Definition: Table(Age,Sex,Mort_endpoint_bioher)(~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0~ ) Nodelocation: 96,48,1 Nodesize: 48,24 Defnstate: 2,179,125,483,580,0,MIDM Valuestate: 2,235,231,416,303,0,MIDM Nodecolor: 65535,52427,61166 Reformdef: [Mort_endpoint_bioher,Age] Reformval: [Mort_endpoint_bioher,Age] {!40000|Att_editslicestate: [Gender,1,Age_cat,1,Cause_of_death,1]} Variable As_total_yld Title: Age-specific total YLD Definition: Table(Age,Sex,Morb_endpoint)(~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0~ ) Nodelocation: 96,104,1 Nodesize: 48,24 Defnstate: 2,117,131,416,483,0,MIDM Valuestate: 2,230,251,416,303,0,MIDM Nodecolor: 65535,52427,61166 Reformdef: [Morb_endpoint,Age] Reformval: [Morb_endpoint,Age] Close Nodes3 Module Nodes1 Title: Mortality outcome scenarios Author: vkoe Date: 22. Janta 2009 14:46 Defaultsize: 48,24 Nodelocation: 448,400,1 Nodesize: 48,28 Diagstate: 2,132,108,239,371,17 Nodecolor: 65535,52427,61166 Variable Input_mort_abfrac Title: Attributable fraction in mortality data Units: Fraction Description: Fraction of mortality in mortallity input data attributable to the exposure of interest Definition: Table(Age,Sex,Mort_endpoint_bioher)(~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0~ ) Nodelocation: 88,72,1 Nodesize: 48,32 Windstate: 2,302,266,476,224 Defnstate: 2,282,226,453,412,0,MIDM Valuestate: 2,475,502,416,303,0,MIDM Nodecolor: 65535,52427,61166 Reformdef: [Mort_endpoint_bioher,Age] Reformval: [Mort_endpoint_bioher,Age] Domain: ['item 1'] Variable Change_mort Title: Year-specific change in attributable mortality risk Units: % Description: Precentage change in the mortality risk attributable to the exposure of interest.~ ~ Note! Change refers to the change in risk in comparison to the mortality risk in the start of the assessment, NOT in comparison to the previous 5-year follow-up step. Definition: Table(Age,Fu_period,Sex,Mort_endpoint_bioher,Scenario)(~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0~ ) Nodelocation: 88,232,1 Nodesize: 48,36 Windstate: 2,232,283,476,224 Defnstate: 2,119,191,619,449,0,MIDM Valuestate: 2,340,384,508,469,0,MIDM Nodecolor: 65535,52427,61166 Reformdef: [Fu_period,Age] Reformval: [Fu_period,Age] {!40000|Att_resultslicestate: [Sex,1,Scenario,1,Mort_endpoint,2,Age,1,Fu_period,1]} {!40000|Att_editslicestate: [Sex,1,Mort_endpoint,2,Scenario,1,Age,1,Fu_period,1]} Decision Ys_change_mort Title: Year-specific input for mortality outcome Definition: Choice(Self,1) Nodelocation: 88,144,1 Nodesize: 48,32 Valuestate: 2,294,402,416,303,0,MIDM Domain: ['Yes','No'] Index Scenario {!40000|Att_previndexvalue: ['BAU','Alternative']} Title: Scenario Definition: ['BAU','Alternative'] Nodelocation: 88,280,1 Nodesize: 48,12 Close Nodes1 Module Technical_nodes Title: Morbidity outcome scenarios Author: vkoe Date: 12. Mayta 2009 15:35 Defaultsize: 48,24 Nodelocation: 448,336,1 Nodesize: 48,28 Diagstate: 2,170,138,308,355,17 Nodecolor: 65535,52427,61166 Decision Input_morb_outcome Title: Input for morbidity outcome calculation Definition: Choice(Self,1) Nodelocation: 104,48,1 Nodesize: 48,36 Windstate: 2,366,308,476,224 Valuestate: 2,464,402,416,303,0,MIDM Domain: ['Percentage change','No. of cases'] Variable Input_morb_abfrac Title: Attributable fraction in morbidity data Description: Fraction of morbidity in morbidity input data attributable to the exposure of interest Definition: Table(Age,Sex,Morb_endpoint)(~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0~ ) Nodelocation: 104,128,1 Nodesize: 48,36 Windstate: 2,257,286,476,224 Defnstate: 2,197,238,416,424,0,MIDM Valuestate: 2,336,352,418,410,0,MIDM Nodecolor: 65535,52427,61166 Reformdef: [Morb_endpoint,Age] Reformval: [Morb_endpoint,Age] Variable Outcome_morb Title: Year-specific morbidity outcome Units: % change or no. of cases Description: Precentage change in the total morbidity risk attributáble to the expoure/risk factor or number of attributable morbidity cases~ ~ Note! Change refers to the change in risk in comparison to the morbidity risk in the start of the assessment, NOT in comparison to the previous 5-year follow-up step. Definition: Table(Age,Fu_period,Sex,Morb_endpoint,Scenario)(~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0~ ) Nodelocation: 104,224,1 Nodesize: 48,28 Windstate: 2,221,256,476,224 Defnstate: 2,132,163,612,436,0,MIDM Valuestate: 2,314,401,654,415,0,MIDM Nodecolor: 65535,52427,61166 Reformdef: [Fu_period,Age] Reformval: [Fu_period,Age] Att__totalsindex: Index Age {!40000|Att_resultslicestate: [Sex,1,Morb_endpoint,1,Scenario,2,Age,1,Fu_period,1]} {!40000|Att_editslicestate: [Sex,1,Morb_endpoint,1,Scenario,1,Age,1,Fu_period,1]} Close Technical_nodes Close Help_nodes Objective Ab_mortality_spec Title: Mortality, specified Units: deaths Description: Deaths attributable to the exposure in different scenarios.~ Definition: var a:= Mort_risk_scenarios;~ a:=if a<0 then 0 else a;~ a:=if a>1 then 1 else a;~ a:= sum(if floor(Age/5)+1 = @age_cat then a else 0 , Age)/5;~ a:=a-a[Exposure='Reference'];~ ~ a:= a*Pop_in_time_ave;~ var b:=Table(Time_unit)(a, a*5);~ a:= if Followup_time <2 then a else b;~ ~ if Outcome= 'Change in EBD' then a[Exposure='Alternative']-a[Exposure='BAU'] else a~ Nodelocation: 472,424,1 Nodesize: 48,20 Windstate: 2,215,208,462,640 Valuestate: 2,228,217,598,555,0,MIDM Nodecolor: 65535,19661,38773 Graphsetup: {!40000|Att_graphvaluerange Ab_mortality_spec:|1:1,,0,,,,,8000,14K}~ {!40000|Att_graphvaluerange Graph_cdf_valdim:1,,1,1}~ {!40000|Att_graphvaluerange Graph_pdf_valdim:1,0,0,1,,,,0,200} Reformval: [Fu_period,Age_cat,2,2,1] Att__totalsindex: Index Age, Index Age_cat {!40000|Att_resultslicestate: [Bioher_heat_scenario,2,Sex,1,Time_unit,2,Mort_endpoint_bioher,1,Exposure,1,Age_cat,1,Fu_period,1]} {!40200|Att_graphsetupslices: [3,1,Densityindex,1]} Objective Ad_le Title: Age-adjusted life expectancy Units: Years Description: Age-adjusted life expectancy~ Definition: Var a:=Life_years;~ ~ var b:= 0;~ var x:= 1;~ while x<= min([size(Age_cat),size(Period_lt)]) do (~ b:= b + a;~ a:= a[@Age_cat=@Age_cat+1, @Period_lt=@Period_lt+1];~ a:= if a=null then 0 else a;~ x:= x+1);~ ~ b:=b[@Period_lt=1]/Pop_in_time_beg[@Period_lt=1];~ if isnan(b)=1 then 0 else b Nodelocation: 264,392,1 Nodesize: 48,24 Windstate: 2,104,73,476,599 Valuestate: 2,298,156,419,505,0,MIDM Nodecolor: 65535,19661,38773 Reformval: [Exposure,Age_cat] {!40000|Att_resultslicestate: [Sex,2,Age_cat,1,Exposure,3]} Variable Pop_frac Title: Fraction of exposed population Definition: Table(Exposure)(~ 1,1,1) Nodelocation: 416,120,1 Nodesize: 48,24 Windstate: 2,88,119,476,224 Defnstate: 2,179,207,411,195,0,MIDM Valuestate: 2,254,283,416,303,0,MIDM Nodecolor: 65535,52427,61166 Variable Life_lost Title: Loss of life at death Units: Years/death Definition: Table(Age_cat,Sex,Mort_endpoint_bioher)(~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0~ ) Nodelocation: 80,576,1 Nodesize: 48,24 Windstate: 2,134,115,476,224 Defnstate: 2,143,110,414,526,0,MIDM Valuestate: 2,187,304,416,387,0,MIDM Nodecolor: 65535,52427,61166 Reformdef: [Mort_endpoint_bioher,Age_cat] Reformval: [Sex,Age_cat] {!40000|Att_resultslicestate: [Mort_endpoint,1,Age_cat,1,Sex,1]} Variable Pv_life_year Title: PV of a life year Description: Present value of one life year~ Definition: var a:=Period_lt-Start_year+2.5;~ var b:= Discount/100;~ (1+b)^-a~ ~ Nodelocation: 744,456,1 Nodesize: 48,20 Windstate: 2,111,148,476,291 Valuestate: 2,201,137,345,447,0,MIDM Nodecolor: 19661,48336,65535 Module Technical_nodes1 Title: Mortality ERF Author: vkoe Date: 1. Junta 2009 8:35 Defaultsize: 48,24 Nodelocation: 80,280,1 Nodesize: 48,24 Diagstate: 2,171,189,348,320,17 Nodecolor: 65535,52427,61166 Variable Mort_erf_claih Title: Mortality ERF Claih Description: Exposure-response functions for mortality, defined as relative risk (RR)~ ~ This node is used if the ERF differs between age groups~ ~ *Relative risk =1 if there is no known dependence between the studied exposure and a particular cause of death~ *Absolute risk = 0 If there is no known dependence between the studied exposure and a particular cause of death Definition: Table(Age,Sex,Erf_type,Mort_endpoint_bioher,Pollutant)(~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0,~ 0,0,0~ ) Nodelocation: 80,56,1 Nodesize: 48,24 Windstate: 2,125,89,476,532 Defnstate: 2,365,144,498,534,0,MIDM Valuestate: 2,152,162,511,641,0,MIDM Nodecolor: 65535,52427,57888 Reformdef: [Mort_endpoint_bioher,Age] Reformval: [] {!40000|Att_resultslicestate: [Sex,1,Erf_type,1,Run,21,Pollutant,1,Age,1,Mort_endpoint,1]} {!40000|Att_editslicestate: [Sex,1,Erf_type,2,Pollutant,3,Age,1,Mort_endpoint_bioher,1]} Variable Mortality_erf Title: Mortality ERF Description: Exposure-response function for mortality endpoint Definition: If Assessment = 'Bioher' then Mort_erf_bioher else Mort_erf_claih Nodelocation: 208,112,1 Nodesize: 48,24 Valuestate: 2,87,112,601,655,0,MIDM Reformval: [Mort_endpoint_bioher,Age] {!40000|Att_resultslicestate: [Sex,1,Erf_type,1,Age1,1,Mort_endpoint,1]} Variable Mort_erf_bioher Title: Mortality ERF Bioher Description: PM2.5 Definition: Table(Age,Sex,Mort_endpoint_bioher,Erf_type)(~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0,~ 1.06,0,~ 1,0~ ) Nodelocation: 80,112,1 Nodesize: 48,24 Windstate: 2,125,89,476,323 Defnstate: 2,176,138,545,681,0,MIDM Valuestate: 2,152,162,511,641,0,MIDM Nodecolor: 65535,52427,57888 Reformdef: [Mort_endpoint_bioher,Age] Reformval: [Mort_endpoint_bioher,Age] {!40000|Att_resultslicestate: [Sex,1,Erf_type,2,Age1,1,Mort_endpoint,1]} {!40000|Att_editslicestate: [Sex,1,Erf_type,1,Age,1,Mort_endpoint_bioher,1]} Variable Mort_erf_unit Title: Mortality ERF unit Description: Number of exposure units the relative risk for mortality refers to. Definition: Table(Mort_endpoint_bioher)(~ 10,0) Nodelocation: 80,168,1 Nodesize: 48,24 Defnstate: 2,115,212,416,303,0,MIDM Valuestate: 2,197,343,416,303,0,MIDM Nodecolor: 65535,52427,57888 Close Technical_nodes1 Module Technical_nodes2 Title: Morbidity ERF Author: vkoe Date: 1. Junta 2009 8:35 Defaultsize: 48,24 Nodelocation: 744,280,1 Nodesize: 48,24 Diagstate: 2,145,159,315,324,17 Nodecolor: 65535,52427,61166 Variable Morb_erf_claih Title: Morbidity ERF Claih Description: Exposure-response functions for morbidity, defined as relative risk (RR)~ ~ This node is used if the ERF differs between age groups~ ~ *Age classification: 1 year intervals. ~ *Sex classification: can be used if necessary~ *RR=1 is used if If there is no known dependence between the studied exposure and a particular morbidity Definition: Table(Pollutant)(~ 1,1,1) Nodelocation: 80,48,1 Nodesize: 48,24 Windstate: 2,183,44,488,475 Defnstate: 2,165,77,532,889,0,MIDM Valuestate: 2,397,1,451,895,0,MIDM Nodecolor: 65535,52427,57888 Reformdef: [] Reformval: [] {!40000|Att_resultslicestate: [Pollutant,1]} {!40000|Att_editslicestate: [Sex,1,Erf_type,2,Pollutant,1,Age,1,Morb_endpoint,1]} Reference: Cafe raport Variable Morbidity_erf Title: Morbidity ERF Units: - Description: Exposure-response function for morbidity endpoint Definition: if Assessment = 'Bioher' then Morb_erf_bioher else Morb_erf_claih Nodelocation: 200,112,1 Nodesize: 48,24 Windstate: 2,595,61,534,370 Valuestate: 2,234,224,422,470,0,MIDM Reformval: [Morb_endpoint,Age] {!40000|Att_resultslicestate: [Sex,1,Erf_type,2,Age,1,Morb_endpoint,1]} Variable Morb_erf_bioher Title: Morbidity ERF bioher Description: Exposure-response functions for morbidity, defined as relative risk (RR)~ ~ This node is used if the ERF differs between age groups~ ~ *Age classification: 1 year intervals. ~ *Sex classification: can be used if necessary~ *RR=1 is used if If there is no known dependence between the studied exposure and a particular morbidity Definition: Table(Age,Sex,Erf_type,Morb_endpoint)(~ 1,1,~ 0,0,~ 1,1,~ 0,0,~ 1,1,~ 0,0,~ 1,1,~ 0,0,~ 1,1,~ 0,0,~ 1,1,~ 0,0,~ 1,1,~ 0,0,~ 1,1,~ 0,0,~ 1,1,~ 0,0,~ 1,1,~ 0,0,~ 1,1,~ 0,0,~ 1,1,~ 0,0,~ 1,1,~ 0,0,~ 1,1,~ 0,0,~ 1,1,~ 0,0,~ 1,1,~ 0,0.902,~ 1,1,~ 0,0.902,~ 1,1,~ 0,0.902,~ 1,1,~ 0,0.902,~ 1,1,~ 0,0.902,~ 1,1,~ 0,0.902,~ 1,1,~ 0,0.902,~ 1,1,~ 0,0.902,~ 1,1,~ 0,0.902,~ 1,1,~ 0,0.902,~ 1,1,~ 0,0.902,~ 1,1,~ 0,0.902,~ 1,1,~ 53.3u,0.902,~ 1,1,~ 53.3u,0.902,~ 1,1,~ 53.3u,0.902,~ 1,1,~ 53.3u,0.902,~ 1,1,~ 53.3u,0.902,~ 1,1,~ 53.3u,0.902,~ 1,1,~ 53.3u,0.902,~ 1,1,~ 53.3u,0.902,~ 1,1,~ 53.3u,0.902,~ 1,1,~ 53.3u,0.902,~ 1,1,~ 53.3u,0.902,~ 1,1,~ 53.3u,0.902,~ 1,1,~ 53.3u,0.902,~ 1,1,~ 53.3u,0.902,~ 1,1,~ 53.3u,0.902,~ 1,1,~ 53.3u,0.902,~ 1,1,~ 53.3u,0.902,~ 1,1,~ 53.3u,0.902,~ 1,1,~ 53.3u,0.902,~ 1,1,~ 53.3u,0.902,~ 1,1,~ 53.3u,0.902,~ 1,1,~ 53.3u,0.902,~ 1,1,~ 53.3u,0.902,~ 1,1,~ 53.3u,0.902,~ 1,1,~ 53.3u,0.902,~ 1,1,~ 53.3u,0.902,~ 1,1,~ 53.3u,0.902,~ 1,1,~ 53.3u,0.902,~ 1,1,~ 53.3u,0.902,~ 1,1,~ 53.3u,0.902,~ 1,1,~ 53.3u,0.902,~ 1,1,~ 53.3u,0.902,~ 1,1,~ 53.3u,0.902,~ 1,1,~ 53.3u,0.902,~ 1,1,~ 53.3u,0.902,~ 1,1,~ 53.3u,0.902,~ 1,1,~ 53.3u,0.902,~ 1,1,~ 53.3u,0.902,~ 1,1,~ 53.3u,0,~ 1,1,~ 53.3u,0,~ 1,1,~ 53.3u,0,~ 1,1,~ 53.3u,0,~ 1,1,~ 53.3u,0,~ 1,1,~ 53.3u,0,~ 1,1,~ 53.3u,0,~ 1,1,~ 53.3u,0,~ 1,1,~ 53.3u,0,~ 1,1,~ 53.3u,0,~ 1,1,~ 53.3u,0,~ 1,1,~ 53.3u,0,~ 1,1,~ 53.3u,0,~ 1,1,~ 53.3u,0,~ 1,1,~ 53.3u,0,~ 1,1,~ 53.3u,0,~ 1,1,~ 53.3u,0,~ 1,1,~ 53.3u,0,~ 1,1,~ 53.3u,0,~ 1,1,~ 53.3u,0,~ 1,1,~ 53.3u,0,~ 1,1,~ 53.3u,0,~ 1,1,~ 53.3u,0,~ 1,1,~ 53.3u,0,~ 1,1,~ 53.3u,0,~ 1,1,~ 53.3u,0,~ 1,1,~ 53.3u,0,~ 1,1,~ 53.3u,0,~ 1,1,~ 53.3u,0,~ 1,1,~ 53.3u,0,~ 1,1,~ 53.3u,0,~ 1,1,~ 53.3u,0,~ 1,1,~ 53.3u,0,~ 1,1,~ 53.3u,0,~ 1,1,~ 53.3u,0~ ) Nodelocation: 80,112,1 Nodesize: 48,24 Windstate: 2,183,216,488,475 Defnstate: 2,81,63,532,755,0,MIDM Valuestate: 2,246,106,451,895,0,MIDM Nodecolor: 65535,52427,57888 Reformdef: [Morb_endpoint,Age] Reformval: [Morb_endpoint,Age] {!40000|Att_resultslicestate: [Sex,1,Erf_type,2,Age,1,Morb_endpoint,1]} {!40000|Att_editslicestate: [Sex,1,Erf_type,2,Age,1,Morb_endpoint,1]} Reference: Cafe raport Variable Morb_erf_unit Title: Morbidity ERF unit Description: Number of exposure units the relative risk for morbidity refers to. Definition: Table(Morb_endpoint)(~ 1,10) Nodelocation: 80,168,1 Nodesize: 48,24 Windstate: 2,141,188,476,224 Defnstate: 2,184,217,416,303,0,MIDM Valuestate: 2,261,321,416,303,0,MIDM Nodecolor: 65535,52427,57888 Close Technical_nodes2 Module Technical_nodes3 Title: Duration of morbidity Author: vkoe Date: 1. Junta 2009 8:35 Defaultsize: 48,24 Nodelocation: 744,520,1 Nodesize: 48,24 Diagstate: 2,143,103,359,300,17 Nodecolor: 65535,52427,61166 Variable Duration Title: Duration of morbidity Units: Years Definition: if Duration_age_class = 'No' then Duration_gen else Duration_as Nodelocation: 224,144,1 Nodesize: 48,24 Valuestate: 2,221,376,416,303,0,MIDM Reformval: [Sex,Morb_endpoint] Variable Duration_as Title: Age-specific duration of morbidity Units: Years Description: Incidence endpoint: duration of the disease in years~ Prevalence endpoint: duration = 1 year Definition: Table(Age_cat,Sex,Morb_endpoint)(~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0~ ) Nodelocation: 96,192,1 Nodesize: 48,24 Windstate: 2,93,99,482,362 Defnstate: 2,255,263,392,451,0,MIDM Valuestate: 2,257,310,416,303,0,MIDM Nodecolor: 65535,52427,57888 Reformdef: [Morb_endpoint,Age_cat] Reformval: [Morb_endpoint,Age_cat] Variable Duration_gen Title: General duration of morbidity Units: Years Description: Incidence endpoint: duration of the disease in years~ Prevalence endpoint: duration = 1 year Definition: Table(Sex,Morb_endpoint)(~ 8,1/365~ ) Nodelocation: 96,136,1 Nodesize: 48,24 Defnstate: 2,250,285,416,303,0,MIDM Valuestate: 2,268,374,416,303,0,MIDM Nodecolor: 65535,52427,61166 Reformdef: [Sex,Morb_endpoint] Reformval: [Sex,Morb_endpoint] Decision Duration_age_class Title: Age-specific duration of morbidity Definition: Choice(Self,1) Nodelocation: 96,72,1 Nodesize: 48,29 Valuestate: 2,223,352,416,303,0,MIDM Domain: ['No','Yes'] Close Technical_nodes3 Module Technical_nodes4 Title: Disability severity weight Author: vkoe Date: 1. Junta 2009 8:35 Defaultsize: 48,24 Nodelocation: 744,576,1 Nodesize: 48,24 Diagstate: 2,146,132,330,303,17 Nodecolor: 65535,52427,61166 Variable Daly_weight Title: Severity weight Definition: If Severity_age_class = 'No' then DALY_weight_gen else DALY_weight_as Nodelocation: 208,112,1 Nodesize: 48,24 Valuestate: 2,328,410,416,303,0,MIDM Reformval: [Sex,Morb_endpoint] Att__totalsindex: Index Morb_endpoint Variable Daly_weight_as Title: Age-specific severity weight Description: Daly weights for morbidity~ ~ Current data:~ Arbitrary weights Definition: Table(Age_cat,Sex,Morb_endpoint)(~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0,~ 0,0~ ) Nodelocation: 88,168,1 Nodesize: 48,24 Windstate: 2,102,90,476,224 Defnstate: 2,278,279,425,515,0,MIDM Valuestate: 2,235,272,364,461,0,MIDM Nodecolor: 65535,52427,57888 Reformdef: [Morb_endpoint,Age_cat] Reformval: [Morb_endpoint,Age_cat] Reference: WHO Variable Daly_weight_gen Title: General severity weight Definition: Table(Sex,Morb_endpoint)(~ 0.15,0.09900000000000001~ ) Nodelocation: 88,112,1 Nodesize: 48,24 Defnstate: 2,288,293,416,303,0,MIDM Valuestate: 2,288,390,416,303,0,MIDM Nodecolor: 65535,52427,61166 Reformdef: [Sex,Morb_endpoint] Decision Severity_age_class Title: Age-specific severity weight Definition: Choice(Self,2) Nodelocation: 88,48,1 Nodesize: 48,29 Valuestate: 2,232,352,416,303,0,MIDM Domain: ['Yes','No'] Close Technical_nodes4 Module Exposure1 Title: Exposure Author: vkoe Date: 5. Novta 2009 13:17 Defaultsize: 48,24 Nodelocation: 416,64,1 Nodesize: 48,24 Diagstate: 2,169,185,510,284,17 Nodecolor: 65535,52427,61166 Chance Exp_claih Title: Exp Claih Definition: Table(Pollutant,Fu_period,Exposure)(~ sum(Exposure_pm, pm_source),0,0,~ sum(Exposure_pm, pm_source),0,0,~ sum(Exposure_pm, pm_source),0,0,~ sum(Exposure_pm, pm_source),0,0,~ sum(Exposure_pm, pm_source),0,0,~ sum(Exposure_pm, pm_source),0,0,~ sum(Exposure_pm, pm_source),0,0,~ Exposure_radon,0,0,~ Exposure_radon,0,0,~ Exposure_radon,0,0,~ Exposure_radon,0,0,~ Exposure_radon,0,0,~ Exposure_radon,0,0,~ Exposure_radon,0,0,~ 1,0,0,~ 1,0,0,~ 1,0,0,~ 1,0,0,~ 1,0,0,~ 1,0,0,~ 1,0,0~ ) Nodelocation: 112,120,1 Nodesize: 48,24 Defnstate: 2,189,122,486,303,0,MIDM Valuestate: 2,54,260,416,303,0,MIDM Nodecolor: 65535,52427,57888 Reformdef: [Pollutant,Fu_period] Reformval: [Fu_period,Exposure] {!40000|Att_resultslicestate: [Pollutant,2,Exposure,1,Fu_period,1]} {!40000|Att_editslicestate: [Exposure,1,Pollutant,1]} Index Pollutant {!40000|Att_previndexvalue: ['PM','Radon','Mold']} Title: Pollutant Definition: ['PM','Radon','Mold'] Nodelocation: 288,176,1 Nodesize: 52,12 Variable Exposures Title: Exposure Description: if b = 'No' and a = 'No' then c else (if b = 'Yes' and a = 'No' then e else (if b = 'No' and a = 'Yes' then d else f))~ Definition: if Assessment = 'Bioher' then Exp_bioher else Exp_claih~ Nodelocation: 288,120,1 Nodesize: 48,24 Nodeinfo: 1,1,1,1,1,1,0,,0, Windstate: 2,593,53,490,653 Defnstate: 2,280,2,416,303,0,MIDM Valuestate: 2,180,214,485,356,0,MIDM Nodecolor: 19661,48336,65535 Graphsetup: {!40000|Att_graphvaluerange Graph_pdf_valdim:1,0,1,1,,,,0,1}~ {!40000|Att_graphvaluerange Exposures:1,,1,,,,,0,1}~ {!40000|Att_contlinestyle Run:0} Reformdef: [Exposure,Fu_period] Reformval: [Exposure,Fu_period] {!40000|Att_resultslicestate: [Bioher_heat_scenario,4,Sex,1,Fu_period,1,Exposure,1]} Reference: Cafe raport Index Exposure Title: Exposure Description: Jouni 14.6.2009: I changed the name from Scen to Exposure because this is not just a list of scenarios, it is specifically the list of counterfactual exposure scenarios.~ ~ Row 'Impacted' is changed to 'Alternative scenario' because a) also people in BAU are impacted and b) we don't know a priori whether the alternative scenario is a higher or lower exposure.~ ______________________~ ~ Exposure scenarios. Definition: ['BAU','Alternative','Reference'] Nodelocation: 288,152,1 Nodesize: 52,12 Nodeinfo: 1,1,1,1,1,1,0,0,0,0 Windstate: 2,614,154,476,262 {!40203|Att_slicerpopupsize: 232,56} {!40000|Att_previndexvalue: ['BAU','Alternative','Reference']} Decision Exp_age_class Title: Age-specific exposure Definition: Choice(Self,2) Nodelocation: 288,40,1 Nodesize: 48,24 Domain: ['Yes','No'] Decision Exp_year_class Title: Year-specific exposure Definition: Choice(Self,1) Nodelocation: 400,40,1 Nodesize: 48,24 Domain: ['Yes','No'] Variable Exp_bioher Title: Exp bioher Definition: Table(Sex,Exposure)(~ sum(Pm2_5_exp_bioher,pm_source),0,0~ ) Nodelocation: 112,64,1 Nodesize: 48,24 Windstate: 2,98,90,476,224 Defnstate: 2,201,96,501,430,0,MIDM Valuestate: 2,278,417,416,303,0,MIDM Nodecolor: 65535,52427,57888 Reformdef: [Exposure,Sex] Reformval: [Exposure,Fu_period] {!40000|Att_resultslicestate: [Bioher_heat_scenario,7,Sex,1,Fu_period,1,Exposure,1]} {!40000|Att_editslicestate: [Sex,1,Fu_period,1]} Close Exposure1 Objective Ad_le_loss Title: Loss of age-adjusted life expectancy Units: Years Definition: var a:=Ad_le;~ a[Exposure='Reference']-a Nodelocation: 264,448,1 Nodesize: 48,24 Valuestate: 2,185,146,416,460,0,MIDM Reformval: [Exposure,Age_cat] {!40000|Att_resultslicestate: [Age1,1,Sex,1,Sys_localindex('PROBABILITY'),1,Exposure,1]} Objective Le_loss Title: Loss of life expectancy in birth cohort Units: Years Definition: var a:=Le_cohort;~ a[Exposure='Reference']-a Nodelocation: 368,448,1 Nodesize: 48,24 Windstate: 2,109,95,476,276 Valuestate: 2,227,154,458,200,0,MIDM Reformval: [Sex,Exposure,Undefined,2] Text Te2 Nodelocation: 180,168,-1 Nodesize: 164,144 Nodeinfo: 1,0,0,1,0,1,0,,0, Text Te3 Nodelocation: 416,168,-1 Nodesize: 64,144 Nodeinfo: 1,0,0,1,0,1,0,,0, Text Te4 Nodelocation: 652,168,-1 Nodesize: 164,144 Nodeinfo: 1,0,0,1,0,1,0,,0, Text Te5 Nodelocation: 104,544,-1 Nodesize: 88,80 Nodeinfo: 1,0,0,1,0,1,0,,0, Text Te6 Nodelocation: 104,392,-1 Nodesize: 88,72 Nodeinfo: 1,0,0,1,0,1,0,,0, Text Te8 Nodelocation: 732,556,-1 Nodesize: 84,68 Nodeinfo: 1,0,0,1,0,1,0,,0, Text Te15 Nodelocation: 732,404,-1 Nodesize: 84,84 Nodeinfo: 1,0,0,1,0,1,0,,0, Text Te125 Nodelocation: 420,472,-1 Nodesize: 220,152 Nodeinfo: 1,0,0,1,0,1,0,,0, Module Population_in_time1 Title: Population in time Author: vkoe Date: 9. Febta 2010 10:56 Defaultsize: 48,24 Nodelocation: 416,280,1 Nodesize: 48,24 Diagstate: 2,178,165,408,249,17 Nodecolor: 19661,48336,65535 Index Age_child {!40000|Att_previndexvalue: [0,1,2,3,4]} Title: Age child Definition: 0..4 Nodelocation: 80,96,1 Nodesize: 48,12 Variable Pop_in_time_child Title: Population in time child Definition: var k: Birth_rate[Fu_year=Year_lt];~ k:= if k = null then {k[@Year_lt=Followup_time]} 0 else k;~ var a:= if @Year_lt = 1 then Pop_data else (if @Age=1 then k else 0);~ a:= a[Age=age_child];~ ~ var j:= sum(Mort_risk_scenarios,Mort_endpoint_bioher)[Age=age_child];~ j:=if Mort_effect = 'Acute' then j[Exposure='BAU'] else j;~ ~ j:=j[Fu_period=Period_lt];~ j:= if j = null then j[Exposure='Reference',Period_lt=max(Fu_period)] else j;~ j:= Si_pi(j, 5, Period_lt, Year_lt, Year_help)*5;~ ~ j:= if j < 0 then 0 else j;~ j:= if j > 1 then 1 else j;~ ~ j:= 1-j;~ ~ var x:= 1;~ while x<= min([size(age_child),size(Year_lt)]) do (~ var b:= a*j;~ b:= b[@age_child=@age_child-1, @Year_lt=@Year_lt-1];~ a:= if b=null then a else b;~ x:= x+1);~ ~ sum(if Year_lt = period_vs_year then a else 0,Year_lt)~ Nodelocation: 80,64,1 Nodesize: 48,24 Windstate: 2,188,97,553,652 Valuestate: 2,92,317,688,319,0,MIDM Reformval: [Period_lt,Age_child] Att__totalsindex: Index Age, Index Age_child {!40000|Att_resultslicestate: [Sex,1,Exposure,1,Age_child,3,Period_lt,3]} Variable Pop_in_time_beg Title: Population in time, beginning of time step Description: Population projection for 100 years in different exposure scenarios. Population is modeled for the start year of each 5-year time step~ ~ .j:= if Year_spec = 'Yes' then~ (j:=j[Fu_period=Period_lt];~ j:= if j = null then j[Exposure='Reference',Period_lt=max(Fu_period)] else j)~ else j;~ Definition: var a:= sum(if floor(Age/5)+1 = @Age_cat then Pop_data else 0 , Age);~ a:= if @Age_cat=1 then sum(Pop_in_time_child, Age_child) else (if @period_lt = 1 then a else 0);~ ~ var j:= sum(Mort_risk_scenarios,Mort_endpoint_bioher);~ j:=if Mort_effect = 'Acute' then j[Exposure='BAU'] else j;~ j:=j[Fu_period=Period_lt];~ j:= if j = null then j[Exposure='Reference',Period_lt=max(Fu_period)] else j;~ ~ j:= if j < 0 then 0 else j;~ j:= if j > 1 then 1 else j;~ ~ j:= 1-j;~ ~ j:= sum(if floor(Age/5)+1 = @Age_cat then j else 0 , Age)/5;~ var m:=j[@Age_cat=@Age_cat+1];~ m:= if m=null then 0 else m;~ var n:=((j^5)+(j^4*m)+(j^3*m^2)+(j^2*m^3)+(j*m^4))/5;~ ~ var x:= 1;~ while x<= min([size(Age_cat),size(Period_lt)]) do (~ var b:= a*n;~ b:= b[@Age_cat=@Age_cat-1, @Period_lt=@Period_lt-1];~ a:= if b=null then a else b;~ x:= x+1);~ a~ ~ Nodelocation: 192,64,1 Nodesize: 48,32 Windstate: 2,89,106,569,714 Valuestate: 2,-1,77,1031,569,0,MIDM Reformval: [Period_lt,Age_cat] Att__totalsindex: Index Age_cat, Index Period_lt {!40000|Att_resultslicestate: [Sex,1,Exposure,2,Age,1,Period_lt,1]} Variable Pop_in_time_ave Title: Population in time, average for time step Description: Average annual population number for each 5-year time step during the follow-up period.~ Definition: var a:=Pop_in_time_beg[Period_lt=Fu_period];~ var b:=(Pop_in_time_beg[@Period_lt=@Period_lt+1])[Period_lt=Fu_period];~ b:= if b = null then a[Fu_period=max(Fu_period)] else b;~ b:=(a+b)/2;~ if Followup_time <2 then a else b Nodelocation: 304,64,1 Nodesize: 48,32 Windstate: 2,72,90,537,592 Valuestate: 2,173,249,661,491,0,MIDM Reformval: [Fu_period,Age_cat] Att__totalsindex: Index Age_cat {!40000|Att_resultslicestate: [Sex,1,Exposure,1,Age_cat,1,Fu_period,1]} Variable Life_years Title: Life years in time Units: years Description: Calculates the number of life years lived by a given 5-year age group in a given 5-year time step 100 years onwards from the beginning of the assessment.~ Definition: var a:= Pop_in_time_beg;~ ~ var b:=sum(Mort_risk_scenarios,Mort_endpoint_bioher);~ b:= if Mort_effect = 'Acute' then b[Exposure='BAU'] else b; ~ b:=b[Fu_period=period_lt];~ b:= if b = null then b[Exposure='Reference',Period_lt=max(Fu_period)] else b;~ ~ b:= if b < 0 then 0 else b;~ b:= if b>1 then 1 else b;~ ~ b:= 1-b;~ ~ b:= sum(if floor(Age/5)+1 = @Age_cat then b else 0 , Age)/5;~ var c:=b[@Age_cat=@Age_cat+1];~ c:= if c=null then c[Age_cat='90-94'] else c;~ var d:=((b^5)+(b^4*c)+(b^3*c^2)+(b^2*c^3)+(b*c^4))/5;~ ~ var e:= a-(a*d);~ ((a*d*5)+e*2.5)*Age_weight*Pv_life_year~ Nodelocation: 192,128,1 Nodesize: 48,24 Windstate: 2,164,94,476,635 Valuestate: 2,86,186,620,582,0,MIDM Reformval: [Period_lt,Age_cat] Att__totalsindex: Index Age_cat, Index Period_lt {!40000|Att_resultslicestate: [Sex,1,Exposure,2,Age_cat,0,Period_lt,0]} Close Population_in_time1 Objective Ab_mortality_tot Title: Mortality, total Units: deaths/follow-up period Definition: sum(Ab_mortality_spec,age_cat,Fu_period)[Time_unit='5-year period'] Nodelocation: 472,456,1 Nodesize: 48,12 Windstate: 2,119,145,476,224 Valuestate: 2,144,155,390,333,0,MIDM Graphsetup: {!40000|Att_graphvaluerange Graph_pdf_valdim:1,0,0,1,,,,0,1m} Reformval: [Exposure,Mort_endpoint_bioher,Undefined,2] {!40000|Att_resultslicestate: [Sex,1,Pop_unit,1,Exposure,1,Mort_endpoint,1]} Objective Ab_morbidity_tot Title: Morbidity, total Units: cases/follow-up period Definition: sum(sum(Ab_morbidity_spec,age_cat),Fu_period)[Time_unit='5-year period'] Nodelocation: 576,456,1 Nodesize: 48,12 Valuestate: 2,154,150,413,208,0,MIDM Reformval: [Exposure,Morb_endpoint] {!40000|Att_resultslicestate: [Sex,1,Pop_unit,1,Exposure,1,Morb_endpoint,1]} Objective Yll_tot Title: YLL, total Units: years/follow-up period Definition: if App_yll = 'Direct' then~ ~ sum(Yll_spec,age_cat,Period_lt)[Time_unit='5-year period']~ ~ else~ ~ sum(Yll_spec,age_cat,Fu_period)[Time_unit='5-year period'] Nodelocation: 264,600,1 Nodesize: 48,12 Windstate: 2,110,129,476,317 Valuestate: 2,248,423,384,236,0,MIDM Reformval: [Sex,Exposure] Att__totalsindex: Index Sex, Index Mort_endpoint_bioher {!40000|Att_resultslicestate: [Mort_endpoint,0,Exposure,2,Sex,1]} Objective Daly_tot Title: DALY, total Units: years/follow-up period Definition: if App_yll = 'Direct' then~ ~ sum(Daly_spec,Age_cat,Period_lt)[Time_unit='5-year period']~ ~ else~ ~ sum(Daly_spec,age_cat,Fu_period)[Time_unit='5-year period'] Nodelocation: 416,608,1 Nodesize: 48,12 Windstate: 2,102,90,476,406 Valuestate: 2,230,467,325,245,0,MIDM Reformval: [Sex,Exposure] {!40000|Att_resultslicestate: [Exposure,1,Sex,1,Pop_unit,1]} Objective Yld_tot Title: YLD, total Units: years/follow-up period Definition: sum(Yld_spec,age_cat,Fu_period)[Time_unit='5-year period'] Nodelocation: 576,600,1 Nodesize: 48,12 Windstate: 2,153,140,476,400 Valuestate: 2,225,270,478,247,0,MIDM Reformval: [Morb_endpoint,Exposure] Att__totalsindex: Index Morb_endpoint {!40000|Att_resultslicestate: [Sex,1,Age_cat,10,Exposure,1,Morb_endpoint,1]} Decision Age_weighting Title: Age weighting Definition: Choice(Self,2) Nodelocation: 744,344,1 Nodesize: 48,12 Domain: ['Yes','No'] Formnode Approach_for_yll_cal Title: Approach for YLL calculation Definition: 0 Nodelocation: 172,652,1 Nodesize: 140,12 Nodeinfo: 1,0,0,1,0,0,0,72,0,1 Original: App_yll Formnode Outcome_of_interest Title: Outcome of interest Definition: 0 Nodelocation: 148,684,1 Nodesize: 116,12 Nodeinfo: 1,0,0,1,0,0,0,72,0,1 Original: Outcome Close Model2 Decision Assessment Title: Assessment Definition: Choice(Self,1) Nodelocation: 88,680,1 Nodesize: 48,24 Domain: ['Bioher','Claih'] Variable Pm2_5_emis_bioher Title: PM2.5 emission bioher Description: HUOM! Ei ole otettu huomioon isojen/pienten polttolaitosten hyötyastetta. Definition: New_houses_heat_purc*3.6*Pm2_5_unit_emission*Source_type Nodelocation: 928,352,1 Nodesize: 48,24 Windstate: 2,184,126,476,224 Valuestate: 2,195,229,416,303,0,MIDM Reformval: [Pm_source,Bioher_heat_scenario] {!40000|Att_resultslicestate: [Fu_period,1,Bioher_heat_systems,1,Bioher_heat_scenario,1,Pm_source,1]} Variable Pm2_5_exp_bioher Title: PM2.5 exposure bioher Definition: sum((Pm2_5_emis_bioher*If_source_categories)/(sum(pop_data,age,sex)*20*365)*1000,Bioher_heat_systems) Nodelocation: 928,440,1 Nodesize: 48,24 Windstate: 2,507,328,476,224 Valuestate: 2,215,343,544,300,0,MIDM Reformval: [Fu_period,Bioher_heat_scenario] {!40000|Att_resultslicestate: [Pm_source,3,Bioher_heat_scenario,1,Fu_period,1]} Variable Fuel_cost Title: Fuel unit cost Units: c/kWh Description: Lähde: rakentaja.fi lämmitysjärjestelmälaskuri~ ~ Tilastokeskus (viimeisimmät tilastoidut hinnat 4.8.2011 mennessä:~ oil: 10.34~ pellet: 5.28~ electricity: 12.68~ district: 6.32~ HUOM! Hinnat sisältävät alv:n.~ ~ Paikallisille kaukolämpövoimaloille käytetty oletusarvona nykyisen kaukolämmön hintaa. Definition: Table(Bioher_heat_systems)(~ 10.84,5.2,4.74,4.74,10.42,10.42,4.74,4) Nodelocation: 1040,440,1 Nodesize: 48,24 Windstate: 2,98,90,476,449 Defnstate: 2,251,161,416,303,0,MIDM Valuestate: 2,300,232,416,303,0,MIDM Nodecolor: 65535,52427,61166 Reformdef: [Fu_period,Bioher_heat_scenario] Variable Fuel_co2_unit_emissi Title: Fuel CO2 unit emission Units: CO2-ekv g/kWh Description: Lähde: Motiva 2004, Keto 2010 Definition: Table(Bioher_heat_systems)(~ 267,18,279,18,204,204,226,18) Nodelocation: 1248,440,1 Nodesize: 48,24 Windstate: 2,245,220,476,224 Defnstate: 2,184,294,416,303,0,MIDM Valuestate: 2,287,413,416,303,0,MIDM Nodecolor: 65535,52427,61166 Variable Heat_system_investme Title: Heat system investment cost Units: e Description: Lähde: rakentaja.fi lämmitysjärjestelmälaskuri (ei sisällä korkomenoja). Definition: Table(Bioher_heat_systems)(~ 9956,14.656K,10.298K,10.298K,3908,14.056K,10.298K,2500) Nodelocation: 1040,376,1 Nodesize: 48,24 Defnstate: 2,348,316,416,303,0,MIDM Valuestate: 2,215,282,416,303,0,MIDM Nodecolor: 65535,52427,61166 Variable Heat_system_maintena Title: Heat system maintenance cost Units: e/a Description: Lähde: rakentaja.fi lämmitysjärjestelmälaskuri Definition: Table(Bioher_heat_systems)(~ 122,170,57,57,48,112,57,100) Nodelocation: 1040,312,1 Nodesize: 48,24 Valuestate: 2,338,297,416,303,0,MIDM Nodecolor: 65535,52427,61166 Variable Total_heating_cost Title: Total heating cost Units: e / 5 year period Description: Investointilainan kuoletusajaksi oletettu 30 vuotta.~ ~ var a=energian vuosikulutus~ var b=lämmitysjärjestelmän investointikulut Definition: var a:=New_houses_heat_purc*5*Fuel_cost/100;~ ~ var b:= (Heat_system_investme/30*5+Investement_interest+Heat_system_maintena+Annual_payment*5)*New_houses_number;~ var c:= Table(Bioher_heat_scenario,Bioher_heat_systems)(~ 0.05, 0.05, 0, 0, 0.6, 0.15, 0.15, 0 ,~ 1, 0, 0, 0, 0, 0, 0, 0 ,~ 0, 1, 0, 0, 0, 0, 0, 0 ,~ 0, 0, 1, 0, 0, 0, 0, 0 ,~ 0, 0, 0, 1, 0, 0, 0, 0 ,~ 0, 0, 0, 0, 1, 0, 0, 0 ,~ 0, 0, 0, 0, 0, 1, 0, 0 ,~ 0, 0, 0, 0, 0, 0, 1, 0 ,~ 0, 0, 0, 0, 1, 0, 0, 1 ~ );~ b:=b*c;~ ~ sum(a+b,Bioher_heat_systems) Nodelocation: 1040,512,1 Nodesize: 48,24 Windstate: 2,216,234,524,410 Valuestate: 2,146,476,703,307,0,MIDM Reformval: [Fu_period,Bioher_heat_scenario] Att__totalsindex: Index Fu_period, Index Bioher_heat_systems {!40000|Att_resultslicestate: [Bioher_heat_scenario,0,Bioher_heat_systems,7,Fu_period,1]} Index Bioher_heat_systems Title: Bioher heat systems Definition: ['Oil','Pellet','District, oil','District, wood','Electricity','Geothermal','District, current','Other dom wood'] Nodelocation: 784,216,1 Nodesize: 52,20 {!40000|Att_previndexvalue: ['Oil','Pellet','District, oil','District, wood','Electricity','Geothermal','District, current','Other dom wood']} Variable Source_type Title: Source type Definition: Table(Pm_source,Bioher_heat_systems)(~ 1,1,0,0,0,0,0,1,~ 0,0,1,1,0,0,0.2,0,~ 0,0,0,0,1,1,0.8,0~ ) Nodelocation: 784,408,1 Nodesize: 48,24 Defnstate: 2,248,343,416,303,0,MIDM Nodecolor: 65535,52427,61166 Reformdef: [Pm_source,Bioher_heat_systems] Reformval: [Pm_source,Bioher_heat_systems] Variable New_houses_number Title: New houses number Definition: 10000 Nodelocation: 928,200,1 Nodesize: 48,24 Nodecolor: 65535,52427,61166 Variable Life_year_unit_cost Title: Value of a life year Units: e/life year Definition: 52000 Nodelocation: 1144,440,1 Nodesize: 48,24 Valuestate: 2,252,359,416,303,0,MIDM Nodecolor: 65535,52427,61166 Variable Investement_interest Title: Investement interest cost Description: Investointilainan kuoletusajaksi oletettu 30 vuotta, vuosikorko 4,5%.~ ~ HUOM! Ei huomioi verotuksen korkovähennystä. Definition: var a:= Heat_system_investme;~ var b:=a/30;~ a:=a-b*(Fu_year-Start_year);~ a:=if a>0 then a else 0;~ a:=a*0.045;~ sum(if floor((Fu_year-Start_year)/5)+1 = @Fu_period then a else 0 , Fu_year) Nodelocation: 1144,376,1 Nodesize: 48,24 Windstate: 2,175,200,476,224 Valuestate: 2,207,338,601,303,0,MIDM Reformval: [Fu_period,Bioher_heat_systems] Att__totalsindex: Index Fu_period, Index Fu_year Variable Total_cost_yll Title: Total cost of lost life years Units: e / 5 year period Definition: var a:=sum(Yll_spec[time_unit='5-year period',exposure='BAU'],age_cat,sex,Mort_endpoint_bioher);~ a*Life_year_unit_cost Nodelocation: 1144,512,1 Nodesize: 48,24 Windstate: 2,166,301,476,224 Valuestate: 2,165,395,674,270,0,MIDM Reformval: [Fu_period,Bioher_heat_scenario] Att__totalsindex: Index Fu_period Variable Total_co2_emission Title: Total CO2 emission Units: t / 5 year period Definition: sum(New_houses_heat_purc*Fuel_co2_unit_emissi*5/1000000, bioher_heat_systems) Nodelocation: 1248,512,1 Nodesize: 48,24 Valuestate: 2,169,269,680,303,0,MIDM Reformval: [Fu_period,Bioher_heat_scenario] {!40000|Att_resultslicestate: [Bioher_heat_systems,3,Bioher_heat_scenario,1,Fu_period,1]} Variable Co2_market_prize Title: CO2 market price Units: e/t Definition: 15 Nodelocation: 1352,440,1 Nodesize: 48,24 Nodecolor: 65535,52427,61166 Variable Co2_emission_cost Title: CO2 emission cost Units: e / 5 year period Definition: Total_co2_emission*Co2_market_prize/1000000 Nodelocation: 1352,512,1 Nodesize: 48,24 Valuestate: 2,106,205,790,303,0,MIDM Reformval: [Fu_period,Bioher_heat_scenario] Att__totalsindex: Index Fu_period Variable Total_cost Title: total cost Units: milj. e Definition: (Total_heating_cost+Total_cost_yll+Co2_emission_cost)/1000000 Nodelocation: 1464,512,1 Nodesize: 48,24 Valuestate: 2,133,199,682,303,0,MIDM Reformval: [Fu_period,Bioher_heat_scenario] Att__totalsindex: Index Fu_period Objective Co2 Title: CO2 emiss change Units: % Description: Change in CO2 emission compared to BAU scenario Definition: var a:=sum(Total_co2_emission,fu_period);~ var b:=a-a[Bioher_heat_scenario='BAU'];~ b/a[Bioher_heat_scenario='BAU']*100 Nodelocation: 1248,616,1 Nodesize: 48,23 Valuestate: 2,271,244,362,303,0,MIDM Reformval: [Fu_period,Bioher_heat_scenario] Objective Change_heating_cost Title: Change heating cost Units: % Definition: var a:=sum(Total_heating_cost,fu_period);~ var b:=a-a[Bioher_heat_scenario='BAU'];~ b/a[Bioher_heat_scenario='BAU']*100 Nodelocation: 1040,616,1 Nodesize: 48,24 Valuestate: 2,232,193,332,318,0,MIDM Reformval: [Fu_period,Bioher_heat_scenario] Objective Change_yll_cost Title: Change YLL cost Units: % Definition: var a:=sum(Total_cost_yll,fu_period);~ var b:=a-a[Bioher_heat_scenario='BAU'];~ b/a[Bioher_heat_scenario='BAU']*100 Nodelocation: 1144,616,1 Nodesize: 48,24 Valuestate: 2,301,311,416,319,0,MIDM Objective Heating_cost_per_red Title: Heating cost per reduced CO2 t Units: e/tCO2 Definition: var a:=sum(Total_heating_cost,fu_period);~ a:=a-a[Bioher_heat_scenario='BAU'];~ var b:=sum(Total_co2_emission,fu_period);~ b:=b[Bioher_heat_scenario='BAU']-b;~ b:= if b>0 then b else 0;~ a/b~ Nodelocation: 1040,688,1 Nodesize: 48,29 Valuestate: 2,200,529,388,340,0,MIDM Objective Tot_cost_per_reduced Title: Tot cost per reduced ~ CO2 t Units: e/CO2 Definition: var a:=sum(Total_heating_cost+Total_cost_yll,fu_period);~ a:=a-a[Bioher_heat_scenario='BAU'];~ var b:=sum(Total_co2_emission,fu_period);~ b:=b[Bioher_heat_scenario='BAU']-b;~ b:= if b>0 then b else 0;~ a/b Nodelocation: 1144,688,1 Nodesize: 48,29 Valuestate: 2,663,528,416,338,0,MIDM Variable Annual_payment Title: Annual payment Units: e/a Description: käyttämaksu, liittymismaksu tms. Definition: Table(Bioher_heat_systems)(~ 0,0,630,630,170,170,630,0) Nodelocation: 1144,312,1 Nodesize: 48,24 Defnstate: 2,276,390,416,303,0,MIDM Valuestate: 2,297,412,416,303,0,MIDM Nodecolor: 65535,52427,61166 Close Claih