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.10000112010LogCarbon trade and city-level impactsThis model examines possible carbon trade mechanisms and their impacts on city-level. The situation is looked at from different perspectives: from that of a single individual, and that of the society.ktluser14. Augta 2008 18:34 ktluser23. Aprta 2009 23:49 48,241,5,9,586,415,17Arial, 120,Model Carbon_trade_and_cit,2,2,0,1,C:\temp\CarbonTrade_city-level-3.ANAPM2.5 emissionton/asum(Plant_pm2_5_emission,plant_type)/1M
+traffic_pm2_5_emission*365/1k
+sum(sum(electricity_pm_emission,plant_type), season)/1k56,192,148,242,156,531,476,2242,748,469,416,303,0,MEAN[Coverage_of_district,Plant_type][0,0,0,0][Season,3,Plant_type,1,Coverage_of_district,1]Cardiopulmonary mortalitysum(sum(Pm2_5_emission,plant_type),season);
var iF:= array(plant_type,[0.3u,1u,1u,1u])*normal(1,0,3);
var BR:= 20;
var Pop:= 1M;
var background:= 500/100000;
var a:= (Pm2_5_emission*1M)*iF/(BR*365*Pop)*Pop*background*Erf_of_pm2_5_on_mort;
sum(a,plant_type)56,264,148,242,155,14,416,303,0,MIDM[Coverage_of_district,Plant_type][0,0,0,0][Plant_type,4,Sys_localindex('STATISTICS'),1,Coverage_of_district,1]Total costvar a:= array(cost_type,[
Internal_cost,
Cardiopulmonary_mort*Unit_cost_of_health,
Ghg_emission*Unit_cost_of_ghg_quo,
Ghg_emission*Unit_cost_of_ghg]);
if (cost_type= 'Climate cost' or cost_type = 'Health cost') and dmer='Citizen' then 0 else a168,264,148,242,473,475,491,303,0,MEAN[Coverage_of_district,Cost_type][Index Cost_type][Dmer,2,Cost_type,1,Coverage_of_district,1]Total quota['BAU','Restricted']392,320,148,24DMer['Citizen','Society']168,296,148,12Unit cost of GHG quotatable(Total_quota);
0280,320,148,2465535,52427,65534House stockjtue18. syyta 2008 8:43 48,24168,32,148,241,369,28,592,470,17Fuel type['District heating','Oil','Wood pellet','Wood (logs)','Direct electricity','Geothermal']56,64,148,13['District heating','Oil','Wood pellet','Wood (logs)','Direct electricity','Geothermal']Energy class['Traditional','Current standard','Low-energy','Passive house']280,72,148,12['Traditional','Current standard','Low-energy','Passive house']Efficiency renovationcopyindex(Energy_class)56,176,248,16['Traditional','Current standard','Low-energy','Passive house']Power need of building stocksum(Building_stock*Power_need_per_build,Energy_class)168,320,148,242,14,419,821,276,0,MIDM[Area1,Fuel_type][Season,1,Building_type,1,Fuel_type,1,Area1,1]Building stock 2007floor-m^2Amount of building stock (excluding private single and double-family houses that are handled separetely) in floor-square-metres in the whole HMA, categorised by heating type.Table(Fuel_type,Area1,Building_type)(
400,200,
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)56,32,148,242,104,114,748,305,0,MIDM65535,52427,65534[Area1,Fuel_type][Area1,Fuel_type][Building_type,2,Fuel_type,1,Area1,1]Building type['Single-family house','Other building']56,88,144,12['Single-family house','Other building']Heating renovationCopyindex(fuel_type)56,264,348,16['District heating','Oil','Wood pellet','Wood (logs)','Direct electricity','Geothermal']Efficiency renovationsfloor-m^2/aAmount of building stock (in floor square metres) renovated per year. Note that the rows for each renovation type should sum up to 0, if buildings only change the Energy_class. If there is a net change in the building stock, the rows sum up to the net change.Table(Energy_class,Efficiency_renovatio,Building_type)(
0,0,
10,20,
0,0,
0,0,
0,0,
0,0,
10,20,
0,0,
0,0,
0,0,
0,0,
10,20,
0,0,
0,0,
0,0,
0,0
)56,136,148,242,264,274,648,278,0,MIDM2,959,167,416,303,0,MIDM65535,52427,65534[Energy_class,Efficiency_renovatio][Energy_class,Efficiency_renovatio][Building_type,2,Efficiency_renovatio,1,Energy_class,1]New buildings per areafloor-m^2/aNew buildings (in floor square metres) built to each area (categorised by building type) per year.table(area1, building_type)280,200,148,2465535,52427,65534[Area1,Building_type]Heating renovationsfloor-m^2Table(Fuel_type,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
)56,224,148,242,360,370,714,275,0,MIDM2,575,541,667,274,0,MIDM65535,52427,65534[Fuel_type,Heating_renovation][Fuel_type,Heating_renovation]Power need per buildingTable(Energy_class,Season, building_type)56,320,148,242,200,210,487,303,0,MIDM65535,52427,65534[Energy_class,Season][Building_type,2,Season,1,Energy_class,1]Building stockvar a:= Building_stock_2007_;
var b:= sum(Efficiency_renovati1,energy_class)[efficiency_renovation=energy_class];
a:= a +b*a/sum(sum(a,fuel_type),area1);
b:= sum(Efficiency_renovati1,efficiency_renovation);
a:= a -b*a/sum(sum(a,fuel_type),area1);
b:= sum(Heating_renovations,fuel_type)[Heating_renovation=fuel_type];
a:= a +b*a/sum(sum(a,building_type),area1);
b:= sum(Heating_renovations,Heating_renovation);
a:= a -b*a/sum(sum(a,building_type),area1);
a +New_buildings_per_ar*Energy_fractions_of1168,136,148,242,24,507,517,303,0,MIDM[Area1,Building_type][Index Fuel_type, Index Area1][Fuel_type,1,Energy_class,4,Building_type,1,Area1,22]Energy fractions of buildingsfractionTable(Energy_class,Building_type)(
0.25,0.25,
0.25,0.25,
0.25,0.25,
0.25,0.25
)280,32,148,282,88,98,714,309,0,MIDM2,360,370,639,303,0,MIDM65535,52427,65534[Energy_class,Building_type][Energy_class,Building_type]Cost of heating renovationtable(fuel_type, heating_renovation, building_type)472,40,148,282,232,242,639,303,0,MIDM65535,52427,65534[Fuel_type,Heating_renovation]Cost of efficiency renovationtable(Energy_class, Efficiency_renovatio, building_type)472,96,148,282,248,258,648,303,0,MIDM65535,52427,65534[Energy_class,Efficiency_renovatio]Energy fractions of new buildingsfractionTable(Energy_class,Fuel_type, building_type)280,136,148,282,168,178,523,303,0,MIDM65535,52427,65534[Energy_class,Area1][Energy_class,Fuel_type][Building_type,2,Fuel_type,1,Energy_class,1]Building stock 2007 by energy classBuilding_stock_2007*Energy_fractions_of_168,32,148,282,15,64,416,303,0,MIDM[Area1,Fuel_type][Energy_class,1,Building_type,1,Fuel_type,1,Area1,1]Power plants for heat and electricityjtue18. syyta 2008 8:43 48,24280,104,148,281,20,12,592,375,17Power and electricity production of plantsTJ/a{Table(Power_plant,Energy_product)}
var a:= 2.5k*3600*24*365/1T;
var population:= 1M;
a:= array(Plant_type,[
(Coverage_of_district*a),
0,
0,
(population-coverage_of_district)*a])200,36,148,362,595,343,476,2242,178,302,683,303,0,MIDM65535,52427,65534[Power_plant,Energy_product][Coverage_of_district,Plant_type][1,0,0,0]District heating coveragetable(area1,Expansion_of_distric)512,180,148,2865535,52427,65534[Area1,Expansion_of_distric]Expansion of district heating['Small','Large']512,224,148,20['Small','Large']Power plant1..20200,80,148,12[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20]Energy product['Heat','Electricity']200,104,152,12PM emission factor plantg/WhBased on Hämeenkyrö municipal waste incineratorTable(Plant_type)(
uniform(0,11M/470G),0,0,uniform(5u,50u))56,216,148,242,42,172,416,303,0,MIDM2,675,313,416,303,0,MIDM65535,52427,65534Plant type['Large-scale state of art','Small-scale state of art','Modern pellet burner','Stove']56,96,148,12['Large-scale state of art','Small-scale state of art','Modern pellet burner','Stove']Power plant typestable(plant_type,power_plant)56,64,148,242,408,418,741,303,0,MIDM65535,52427,65534[Power_plant,Plant_type][Power_plant,Plant_type]District heat needvar a:= Power_need_of_buildi[fuel_type='District heating'];
sum(a,building_type)512,32,148,24[Area1,Season]District heat capacity needdistrict_heating_coverage-District_heat_need512,96,148,242,72,82,633,303,0,MIDM[Area1,Season][Expansion_of_distric,1,Season,1,Area1,1]GHG emission factor plant0264,216,048,281,1,1,1,1,1,0,0,0,065535,52427,65534Plant internal costsum(Power_and_electricit,energy_product)*Internal_unit_cost_p160,152,148,24Internal unit cost plant0160,216,148,2465535,52427,65534Small plant exemption rule applies?Table(Power_plant)(
1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0)368,80,148,2865535,52427,65534Energy efficiencytable(plant_type)520,288,148,2465535,52427,65534Plant GHG emissionsum(sum(Power_and_electricit,energy_product),power_plant)*Ghg_emission_factor_264,152,148,24[Coverage_of_district,Plant_type][1,1,0,1]Plant GHG quotavar a:= sum(Power_and_electricit,energy_product);
a:= if exemption_to_small_plants = 'No' then a else a*(1-Small_plant_exemptio);
sum(a,power_plant)*Ghg_emission_factor_368,152,148,242,4,316,476,2242,655,251,416,303,0,MIDM[Power_plant,Exemption_to_small_p]Plant PM2.5 emissiong/avar a:= sum(Power_and_electricit*Power_plant_types,Power_plant);
a:= sum(a,energy_product);
(Power_and_electricit*1T/3600)*Pm_emission_factor_p56,152,148,242,174,244,416,303,0,MIDM[Coverage_of_district,Plant_type][Index Plant_type][1,0,0,0]Electricity consumptionjtue2. jouta 2008 9:58 48,24216,288,148,241,220,482,550,300,17Electricity importElectricity_need-sum(Power_and_electricit[Energy_product='Electricity'],power_plant)216,96,148,242,747,489,416,303,0,MIDM[Power_plant,Season]Electricity needvar a:= sum(sum(sum(power_need_of_building_stock,building_type),energy_class), area1);
a[fuel_type='Direct electricity'] + a[fuel_type='Geothermal']/Electricity_need_of_ + Electricity_need_per216,32,148,24[Season,Fuel_type]Electricity need per capita0336,32,148,2465535,52427,65534Electricity need of geothermalJ/JElectricity need of geothermal energy, expressed as J of heat produced per J of electricity needed.396,32,148,2865535,52427,65534Electricity PM unit emissiong/JPM2.5 emission factors for electricity that is consumed in Finland but produced outside the HMA.056,224,148,2465535,52427,65534Electricity GHG unit emissionGreenhouse gas emission factors for electricity that is consumed in Finland but produced outside the HMA.0264,224,148,2465535,52427,65534Electricity internal costElectricity_import*Electricity_unit_cos160,160,148,24Electricity unit cost0160,224,148,2465535,52427,65534Electricity PM emissionkg/aElectricity_import*Electricity_pm_unit_56,160,148,24[Coverage_of_district,Season][1,1,0,1][Plant_type,1,Season,1,Coverage_of_district,1]Electricity GHG emissionElectricity_import*Electricity_ghg_unit264,160,148,24[Coverage_of_district,Season]Electricity GHG quotaThe possible quota for electricity is already included in the internal cost of electricity coming outside the area, so the additional quota is 0.Electricity_import*0368,160,148,24Coverage of district heatinginhabitants[600K,800K]312,32,148,24Emission factors for burning368,216,148,28Road trafficjtue18. syyta 2008 8:43 48,2456,104,148,241,703,18,488,319,17Traffic PM2.5 emissionkg/dTraffic_volume*Traffic_unit_emissio[pollutant='PM']/1000168,96,148,242,667,457,416,303,0,MEAN[0,0,0,0]Traffic internal coste/dDirect costs of driving (fuel and maintenance).Traffic_volume*Traffic_unit_cost64,96,148,242,360,370,416,303,0,MEAN[Run,Sys_localindex('IN1')]Traffic unit coste/km<a href="http://en.opasnet.org/w/Unit_cost_of_driving">Opasnet variable</a>
The node was tested with upload #557.
var a:= get_sample('Op_en2988' {,'557'});
a[.in1=Car_types]Table(Year,Run)(
0.159606,0.137982,0.113678,0.122245,0.154555,0.119868,0.139408,0.127182,0.161731,0.115343,0.14175,0.166623,0.0946664,0.144969,0.132919,0.163294,0.14687,0.130808,0.106683,0.0904899,0.133046,0.11405,0.132515,0.104501,0.14478,0.126683,0.139303,0.153242,0.102276,0.119109,0.145685,0.161198,0.110789,0.0861408,0.101565,0.186709,0.147128,0.152353,0.169786,0.163723,0.12822,0.11131,0.148693,0.167375,0.181899,0.187175,0.143686,0.134209,0.159456,0.163888,0.164498,0.135972,0.131817,0.160566,0.146235,0.11989,0.166466,0.163252,0.136751,0.101432,0.146888,0.156359,0.132983,0.146242,0.105484,0.108798,0.108159,0.11651,0.100524,0.138418,0.144522,0.11871,0.178832,0.157177,0.150499,0.102793,0.119308,0.170994,0.161789,0.171856,0.142751,0.182631,0.118038,0.178977,0.175936,0.121062,0.123002,0.139998,0.123933,0.11285,0.121143,0.146539,0.151727,0.126138,0.159977,0.145051,0.118258,0.146508,0.109723,0.13259,0.154357,0.128674,0.125972,0.125453,0.106129,0.175486,0.177499,0.137513,0.181478,0.118635,0.116498,0.09421690000000001,0.139035,0.118267,0.128931,0.164654,0.133652,0.144598,0.12308,0.121391,0.188354,0.141547,0.168185,0.133266,0.147262,0.106187,0.130207,0.109619,0.113571,0.12024,0.098575,0.11025,0.112356,0.155146,0.110213,0.14295,0.16875,0.163216,0.157581,0.177194,0.155408,0.144882,0.107044,0.111758,0.09821100000000001,0.159993,0.117376,0.156177,0.119137,0.142148,0.149682,0.139448,0.137589,0.144512,0.1388,0.181509,0.136843,0.141286,0.158017,0.154311,0.117828,0.114512,0.169577,0.1758,0.136464,0.108141,0.1203,0.122701,0.141104,0.128763,0.125656,0.129237,0.138342,0.152745,0.123475,0.12718,0.150169,0.0869832,0.132252,0.147032,0.107168,0.121471,0.127069,0.154627,0.146622,0.096597,0.14624,0.142947,0.115583,0.125046,0.131552,0.142603,0.128694,0.141333,0.114728,0.126707,0.119188,0.168273,0.145443,0.149999,0.146047,0.147449,0.127237,0.119536,0.178461,0.116898,0.149775,0.126517,0.138432,0.08932,0.158257,0.121605,0.157623,0.153965,0.140561,0.16276,0.138596,0.132118,0.117791,0.166515,0.173808,0.14357,0.146864,0.142391,0.149233,0.104137,0.165543,0.133743,0.151274,0.09253210000000001,0.118493,0.109844,0.132242,0.09510349999999999,0.145347,0.0959396,0.168633,0.148716,0.124691,0.142649,0.12701,0.107271,0.110016,0.115783,0.139264,0.142596,0.161695,0.139373,0.131016,0.111312,0.106601,0.159996,0.140055,0.135277,0.131698,0.167859,0.124684,0.125101,0.140176,0.149544,0.0942389,0.130946,0.134463,0.12154,0.132471,0.117134,0.105859,0.0922847,0.125434,0.16891,0.129241,0.137035,0.0964323,0.113554,0.115826,0.154218,0.132626,0.116694,0.149822,0.138146,0.100936,0.124322,0.180481,0.113594,0.133177,0.158005,0.1555,0.157604,0.127757,0.133456,0.147216,0.128,0.158037,0.153027,0.143495,0.12779,0.146106,0.170329,0.131601,0.144555,0.144942,0.145406,0.166863,0.167001,0.147377,0.168026,0.107476,0.12964,0.142274,0.149972,0.157204,0.146853,0.183112,0.105372,0.132998,0.109751,0.128562,0.1351,0.119303,0.137215,0.12628,0.15679,0.180644,0.109195,0.130604,0.151931,0.131646,0.134875,0.162921,0.145103,0.161079,0.1071,0.151552,0.107785,0.158474,0.128161,0.108153,0.14749,0.121359,0.13974,0.156704,0.121618,0.135606,0.09885190000000001,0.179301,0.19293,0.109701,0.117734,0.108309,0.137273,0.115505,0.157224,0.144451,0.12469,0.138896,0.128268,0.131754,0.143235,0.143795,0.109147,0.188961,0.110436,0.132278,0.104281,0.128833,0.131928,0.130916,0.164572,0.132587,0.132298,0.125387,0.169402,0.109674,0.143717,0.141443,0.161779,0.154617,0.165181,0.136165,0.196746,0.178446,0.151534,0.146046,0.142256,0.115118,0.141253,0.135351,0.128172,0.153196,0.140503,0.137242,0.19502,0.123004,0.15066,0.102248,0.138167,0.132534,0.141361,0.131824,0.164011,0.144704,0.125379,0.102835,0.123349,0.1272,0.106556,0.101064,0.09965830000000001,0.163451,0.127747,0.124965,0.223521,0.163634,0.128835,0.138783,0.135799,0.129392,0.154328,0.178881,0.138862,0.127296,0.159667,0.122962,0.115973,0.169669,0.135447,0.138356,0.114069,0.140127,0.120484,0.141214,0.17022,0.171522,0.112164,0.13246,0.11001,0.0911723,0.112995,0.143472,0.117092,0.180766,0.160189,0.12698,0.145031,0.14869,0.130629,0.101974,0.138536,0.105921,0.136186,0.13166,0.149465,0.121977,0.160691,0.11443,0.07821069999999999,0.104406,0.150243,0.130979,0.1389,0.137641,0.09445099999999999,0.17213,0.128135,0.148494,0.124673,0.156484,0.114912,0.158524,0.127455,0.133217,0.131508,0.117866,0.130385,0.138555,0.109869,0.14415,0.174122,0.134675,0.137328,0.0971814,0.0901817,0.147216,0.101192,0.128835,0.0921662,0.151832,0.159053,0.0855481,0.10892,0.149098,0.124032,0.126968,0.173524,0.127546,0.107747,0.128951,0.119055,0.168854,0.101598,0.100307,0.14266,0.19076,0.129358,0.160751,0.12669,0.156936,0.121705,0.132896,0.0889615,0.09495000000000001,0.13316,0.114476,0.093761,0.0985803,0.125291,0.126775,0.165191,0.162985,0.09903430000000001,0.116104,0.168758,0.144456,0.165083,0.159001,0.127518,0.114292,0.0879867,0.145679,0.137112,0.120645,0.198899,0.128349,0.141661,0.127408,0.139012,0.138817,0.145672,0.120714,0.146157,0.135623,0.135926,0.107519,0.167079,0.119534,0.129127,0.114038,0.178091,0.122713,0.160832,0.132493,0.175261,0.125041,0.174437,0.102838,0.138027,0.174192,0.138128,0.170542,0.129389,0.138053,0.133942,0.156627,0.115423,0.152865,0.165151,0.148463,0.124377,0.157739,0.133869,0.119606,0.149107,0.11419,0.145413,0.14771,0.0907673,0.120931,0.139644,0.14169,0.103075,0.139568,0.129801,0.156434,0.108141,0.14552,0.168492,0.153802,0.0979226,0.135953,0.12371,0.148807,0.150601,0.12257,0.143774,0.115608,0.152798,0.109803,0.150112,0.161928,0.159273,0.145216,0.150687,0.112966,0.150907,0.121155,0.149838,0.110935,0.09941650000000001,0.157661,0.133476,0.144389,0.117011,0.153603,0.105904,0.135049,0.119898,0.111796,0.122736,0.107711,0.111498,0.12327,0.125034,0.152455,0.168062,0.0896976,0.1342,0.131065,0.152358,0.153957,0.188255,0.121989,0.136664,0.119418,0.113922,0.111572,0.12412,0.158933,0.136266,0.146681,0.10187,0.132425,0.153146,0.141269,0.131279,0.154277,0.101882,0.197654,0.154571,0.149404,0.141028,0.15302,0.142042,0.13444,0.112953,0.115569,0.132882,0.128913,0.09740699999999999,0.157562,0.164031,0.128712,0.113988,0.119225,0.149948,0.133893,0.137787,0.0920632,0.08711720000000001,0.194633,0.139233,0.126554,0.131295,0.124969,0.135652,0.142069,0.129606,0.118546,0.141732,0.102047,0.15384,0.1511,0.152231,0.13087,0.137165,0.126562,0.115144,0.153734,0.156573,0.12783,0.141866,0.143143,0.12828,0.141802,0.0946509,0.121104,0.17808,0.100507,0.0937346,0.149177,0.141346,0.155875,0.111654,0.166723,0.135849,0.118742,0.107856,0.144864,0.170222,0.1208,0.12869,0.101347,0.114361,0.142651,0.128514,0.141251,0.116933,0.149,0.160469,0.141867,0.16419,0.148856,0.130773,0.195414,0.134536,0.128319,0.119558,0.104412,0.158132,0.157647,0.124559,0.13339,0.12277,0.09705030000000001,0.105881,0.14006,0.12501,0.102004,0.142397,0.122364,0.140003,0.163594,0.178214,0.134498,0.162927,0.144824,0.142496,0.196641,0.161279,0.196638,0.14314,0.169871,0.117445,0.160947,0.151231,0.129032,0.127693,0.0951312,0.119649,0.149954,0.146175,0.0957679,0.174762,0.104476,0.141165,0.107355,0.142936,0.134874,0.160636,0.154266,0.138871,0.125971,0.157054,0.145486,0.125927,0.158312,0.129707,0.116808,0.146577,0.0972358,0.157949,0.122007,0.160623,0.142678,0.158891,0.14006,0.137632,0.148719,0.137367,0.143461,0.113229,0.151032,0.125509,0.137312,0.147807,0.130636,0.143333,0.126005,0.145594,0.153128,0.123979,0.116726,0.122837,0.141316,0.14519,0.129931,0.144144,0.158553,0.149258,0.104334,0.142203,0.139126,0.145239,0.123626,0.0870918,0.140471,0.178215,0.129496,0.140797,0.144715,0.195418,0.138923,0.130742,0.14364,0.116141,0.129941,0.142726,0.08477419999999999,0.150549,0.133524,0.120531,0.112441,0.216381,0.145155,0.184281,0.174315,0.164463,0.13751,0.150596,0.165705,0.117151,0.128102,0.154304,0.106676,0.148078,0.174705,0.11549,0.130409,0.109899,0.158807,0.136252,0.139827,0.08119940000000001,0.148104,0.0892143,0.112711,0.157707,0.15896,0.105279,0.150282,0.101761,0.137305,0.123933,0.145824,0.128134,0.138974,0.150626,0.125842,0.134188,0.140655,0.192746,0.163206,0.104039,0.129122,0.14868,0.155029,0.128639,0.13282,0.155982,0.120726,0.132549,0.167296,0.188725,0.133587,0.118232,0.124144,0.127128,0.133928,0.165472,0.179958,0.150817,0.153205,0.125849,0.165524,0.12336,0.120021,0.133173,0.130052,0.127823,0.142096,0.114271,0.136474,0.130331,0.143413,0.158358,0.118329,0.0968001,0.171956,0.15687,0.140823,0.143281,0.106075,0.175544,0.121046,0.149244,0.144018,0.0941617,0.107941,0.141172,0.114143,0.105555,0.109388,0.165327,0.169418,0.132515,0.152438,0.125301,0.0969328,0.133153,0.130575,0.175862,0.13975,0.152483,0.148203,0.0980524,0.16924,0.154969,0.098011,0.139067,0.152973,0.132366,0.14744,0.135766,0.13565,0.115635,0.11707,0.119765,0.160028,0.155785,0.152828,0.137245,0.146544,0.131589,0.17541,0.146517,0.134977,0.140617,0.138642,0.16084,0.159499,0.12242,0.133464,0.131462,0.131259,0.15605,0.150894,0.134824,0.167954,0.142866,0.143632,0.122923,0.125958,0.0910383,0.112793,0.13605,0.147557,0.172846,0.138705,0.145249,0.179245,0.0950405,0.16186,0.132254,0.181561,0.123497,0.0984709,0.154936,0.153752,0.138723,0.132748,0.166861,0.167132,0.157807,0.162725,0.125516,0.136992,0.150656,0.144042,0.146801,0.130498,0.124445
)64,160,148,242,174,134,476,2242,558,428,670,303,0,MEAN39325,65535,39321[Run,Sys_localindex('IN1')]2,D,4,2,0,0,4,0,$,0,"ABBREV",0Traffic volumekm/d<a href="http://en.opasnet.org/w/Car_kilometres_driven_in_the_Helsinki_metropolitan_area">Opasnet variable</a>
The node was tested with upload #568.
var a:= get_sample('Op_en2995' {,'568'});
sum(a,a.in1)Table(Run)(
11.403536M,5.509024M,10.153752M,10.433166M,11.393276M,10.372163M,13.084704M,9.697486M,8.640455M,13.30076M,7.538467M,10.51753M,9.338908M,8.380149M,9.078198M,8.151649M,8.839654M,8.171926M,13.355294M,8.490474M,5.781878M,8.145344M,12.917811M,10.548398M,12.491598M,9.599299M,5.73579M,9.273574M,9.864185M,8.299588M,5.701709M,9.535056M,11.885478M,10.686938M,8.829557M,10.053281M,9.76848M,10.092006M,9.097398M,10.364933M,7.728552M,9.875508M,10.546382M,10.119876M,10.492387M,10.526568M,8.670851M,12.421649M,9.814109M,8.575265M,9.181621M,5.450567M,9.090164M,4.685166M,9.414005M,10.607026M,9.86656M,10.089098M,4.80134M,9.428274M,4.952832M,8.416112M,7.113512M,9.356939M,6.056174M,9.292186M,10.18121M,8.84272M,10.862645M,7.088137M,12.219752M,5.006716M,8.321299M,9.665511M,9.449442M,13.62684M,15.594385M,9.162517M,13.072071M,11.596704M,12.245076M,12.318451M,9.759201M,9.782254M,10.113254M,8.614664M,14.395375M,10.03351M,10.9828M,9.517468M,9.881028M,10.470067M,9.986247M,7.292433M,5.257737M,7.251869M,12.843679M,7.809446M,7.666934M,12.162029M,7.280846M,4.630975M,10.020696M,9.659992M,8.599766M,10.051722M,11.293494M,15.969162M,13.62172M,8.438235M,10.906773M,5.19704M,8.789691M,8.757427M,12.610288M,8.022079M,12.823362M,12.981544M,9.819999M,6.902707M,9.001555M,9.841906M,9.246128M,9.341436M,12.816096M,10.173513M,10.426685M,11.407618M,8.940224M,10.977973M,9.470713M,8.656327M,9.11437M,11.969729M,5.279602M,9.454542M,12.893263M,9.611013M,13.034143M,9.382077M,8.654669M,9.762098M,12.152956M,12.089534M,9.019122M,9.223277M,13.360234M,9.681604M,4.860563M,11.91968M,9.401411M,9.519368M,11.990548M,6.763198M,9.517872M,15.272726M,10.029579M,13.363758M,13.299633M,9.150013M,9.931098M,5.299156M,16.00521M,9.427416M,8.726473M,8.858441M,12.327909M,10.356879M,11.036278M,9.820977M,10.951533M,11.018047M,12.241912M,9.600621M,7.888905M,12.701221M,9.526902M,4.630018M,10.518552M,5.985325M,9.307113M,12.454034M,6.342814M,10.690848M,12.340412M,5.226448M,12.798939M,10.422377M,5.034813M,13.208604M,6.421199M,6.350935M,9.564455M,9.398877M,10.804921M,10.354563M,11.18628M,4.515719M,4.04591M,5.882318M,9.702155M,7.588501M,6.682783M,9.583879M,9.749745M,6.638776M,8.189939M,10.150924M,13.404931M,10.015684M,7.399475M,10.109507M,8.593305M,5.074189M,9.746435M,12.912972M,10.144409M,9.311397M,13.127786M,10.135544M,9.073875M,10.590616M,12.352303M,9.981211M,6.755307M,9.84396M,9.865225M,9.603835M,12.032545M,12.277614M,12.698715M,8.670312M,6.618186M,9.568255M,9.982505M,5.994619M,11.369566M,9.14392M,8.889619M,14.234675M,7.648543M,10.925037M,9.858699M,7.453084M,12.997632M,9.743331M,10.480812M,11.835435M,9.892244M,8.429743M,11.35455M,10.625018M,11.917295M,8.554049M,14.369878M,10.524537M,7.500007M,9.809915M,10.382639M,11.200704M,12.380798M,12.134327M,13.451912M,12.862572M,8.928766M,8.30123M,9.419678M,7.61826M,11.558654M,7.902282M,10.756368M,11.941379M,11.671347M,6.066347M,8.62655M,4.53834M,8.773355M,11.130047M,7.244838M,6.71869M,9.750481M,11.795042M,10.905251M,9.24803M,13.296835M,10.667738M,9.228954M,8.175093M,12.273652M,8.587716M,12.584127M,13.407191M,9.184473M,11.348627M,10.532508M,8.951684M,9.750259M,9.122803M,10.654407M,4.412579M,10.443067M,9.941716M,13.251123M,9.112212M,9.610932M,9.968629M,5.848418M,4.455897M,13.652735M,14.346921M,5.21458M,8.792083M,8.550431M,12.71283M,8.385368M,6.126057M,5.474693M,7.711223M,10.797301M,8.917045M,13.6296M,9.717259M,12.854668M,9.222602M,9.874136M,16.435745M,5.375681M,5.923661M,9.917657M,6.669632M,6.26662M,8.529935M,13.438498M,10.184626M,9.82076M,12.961234M,8.400821M,12.058861M,5.538182M,10.040539M,12.662492M,9.103778M,8.747226M,8.237307M,8.824176M,9.415178M,8.87882M,9.035914M,9.392976M,10.270087M,6.582293M,8.018852M,5.525636M,8.669478M,9.21267M,8.812656M,8.310919M,13.677534M,12.415615M,9.460474M,10.36229M,8.047638M,9.127755M,11.91383M,9.770136M,13.333068M,8.961179M,10.268801M,4.232455M,11.496001M,12.608711M,6.1882M,9.604886M,9.683356M,9.719354M,8.839072M,10.472326M,9.248569M,9.111167M,11.179385M,9.373219M,13.636762M,10.584133M,5.312841M,10.587215M,8.332492M,10.087225M,7.507016M,11.457444M,12.339388M,10.956142M,7.705861M,6.665882M,11.07659M,6.20218M,11.379312M,10.75324M,9.194347M,7.698214M,12.016744M,12.426512M,7.643605M,6.916812M,11.600989M,10.105837M,9.627245M,7.762328M,5.545153M,8.939834M,9.879965M,12.251135M,9.958658M,9.505501M,8.46587M,8.633801M,9.332299M,10.8416M,11.563564M,8.451687M,9.583149M,9.616293M,13.368952M,8.086289M,9.532548M,8.795178M,8.739636M,9.593063M,10.119851M,5.398397M,11.221038M,8.263293M,8.959365M,8.327382M,8.940151M,12.631932M,9.990213M,13.306243M,13.040696M,15.941328M,10.343279M,12.678812M,8.393982M,9.378469M,12.752684M,9.534556M,12.330694M,9.178419M,10.30208M,7.651443M,10.710221M,11.673363M,9.096218M,5.822401M,12.1246M,10.17162M,9.866781M,12.615838M,9.836969M,9.670451M,11.674319M,8.677236M,10.171176M,9.522134M,10.06753M,8.855958M,7.397967M,9.22012M,9.961272M,9.483012M,8.576993M,8.199179M,11.02734M,6.574033M,9.583487M,9.597721M,9.471966M,9.789592M,9.573038M,10.769998M,11.63345M,10.014389M,9.1169M,7.831013M,15.702312M,9.582192M,6.052175M,8.334489M,10.007581M,9.471582M,5.37605M,10.499642M,9.35142M,10.64592M,10.588124M,12.12678M,12.152094M,9.177605M,9.147888M,12.050455M,13.632185M,15.976834M,9.61188M,6.66678M,10.586471M,8.008393M,9.913269M,7.052408M,12.796076M,8.817547M,7.471776M,9.659285M,12.062676M,5.451299M,6.295422M,9.742348M,9.130173M,8.864404M,11.775519M,8.807354M,8.421219M,9.371398M,10.203642M,9.759702M,11.240147M,4.441355M,8.606364M,9.686748M,9.194037M,12.702743M,7.766363M,10.183792M,5.621716M,5.63807M,10.029226M,12.664165M,7.004609M,13.306026M,4.00632M,7.76339M,9.471427M,10.330383M,12.409598M,8.209414M,13.386349M,13.28426M,8.915173M,9.691767M,7.170832M,8.774426M,8.93621M,9.130152M,10.188636M,9.786223M,6.65746M,9.436292M,8.355763M,8.414409M,5.249997M,9.572972M,9.773124M,9.582432M,7.2875M,9.831875M,12.426882M,11.538345M,11.421581M,10.424319M,9.904494M,12.856603M,6.77224M,10.011201M,9.578853M,7.58374M,9.867252M,12.295651M,7.939865M,8.852742M,11.457138M,8.889877M,10.119358M,8.063658M,7.287734M,8.707952M,10.416291M,8.272793M,4.980982M,9.739329M,13.413738M,10.081668M,9.737306M,10.862479M,9.791961M,8.913698M,10.936592M,8.908852M,9.895558M,9.878045M,14.342603M,6.094741M,11.890067M,7.633763M,10.135351M,9.907519M,9.881199M,10.884928M,8.184034M,6.160307M,10.012253M,5.645237M,9.228277M,10.588007M,8.599658M,9.884349M,13.787634M,9.088307M,10.706706M,11.604755M,8.918337M,9.608052M,9.182024M,10.05474M,10.300707M,10.00355M,12.462749M,9.490963M,9.965862M,10.053447M,8.143415M,13.815198M,11.358981M,10.310143M,9.495539M,12.188923M,8.606973M,6.728937M,12.330394M,13.21811M,16.347837M,9.25044M,10.329674M,12.962064M,7.055472M,12.316643M,10.397264M,11.301586M,8.885212M,6.752546M,10.194039M,9.501849M,7.463361M,8.677145M,5.272354M,4.669807M,9.895926M,9.007027M,13.202482M,9.671008M,8.636604M,6.298691M,8.379012M,9.649484M,9.238553M,11.009583M,9.614998M,8.674318M,5.779332M,11.361658M,9.55822M,4.996429M,10.240981M,11.62678M,9.430299M,10.271177M,7.137987M,8.616186M,8.270633M,10.626285M,6.587805M,11.604499M,8.349058M,6.440072M,4.487971M,9.437813M,9.010686M,9.566315M,9.757404M,11.913868M,10.442679M,11.310377M,11.92036M,8.696696M,7.450139M,9.337896M,10.651306M,10.558628M,7.329366M,10.072011M,7.437597M,8.85107M,6.586214M,8.275982M,5.380428M,4.657523M,8.681957M,8.98282M,11.647231M,8.384124M,6.867926M,10.094007M,6.217875M,8.721572M,10.444941M,7.34404M,10.030872M,9.201901M,9.945282M,12.355594M,5.73418M,7.263661M,10.096943M,14.40757M,10.171596M,9.914119M,8.040836M,12.60014M,12.086589M,5.097887M,8.316866M,11.206498M,6.957977M,8.290911M,6.368717M,7.550391M,10.466311M,9.587542M,13.616325M,9.255004M,11.031172M,8.955649M,10.298226M,9.389534M,9.736043M,12.864766M,12.357779M,8.102981M,5.205128M,13.775682M,8.9365M,7.96549M,9.469182M,9.66868M,5.38947M,8.328563M,9.352938M,9.394084M,8.696513M,8.446434M,9.797323M,9.611991M,10.461954M,10.100425M,12.181544M,8.798569M,5.325968M,10.217413M,14.043972M,13.35931M,10.831114M,5.489622M,11.482337M,12.345256M,8.916469M,11.085359M,6.111549M,9.314109M,12.057274M,10.451593M,9.669254M,9.322315M,9.830821M,6.68612M,14.057764M,12.807539M,11.308561M,10.231401M,7.974186M,8.568403M,6.029448M,10.129296M,9.001508M,10.259362M,7.554766M,8.841047199999999M,13.471353M,9.520729M,9.775045M,4.971904M,6.344476M,11.36586M,10.917591M,7.546549M,11.277874M,6.237127M,11.752064M,10.337124M,12.522746M,9.322603M,13.541114M,10.184683M,17.070463M,13.360188M,10.526438M,10.086241M,13.047779M,9.459537M,12.753843M,8.6885M,8.804274M,8.800629M,7.138266M,9.916392M,9.785178M,9.668266M,12.213601M,12.055215M,10.037585M,11.162473M,9.637625M,9.383853M,8.88558M,9.726305M,10.17543M,12.047646M,9.762895M,15.264247M,13.108155M,3.868436M,10.035816M,10.311972M,9.776039M,8.410472M,8.687795M,6.702364M,9.471865M,10.679607M,9.462447M,9.308062M,8.954063M,9.751427M,10.121104M,8.761646M,8.971526M,7.038728M,9.36792M,13.04614M,10.360421M,10.385821M,4.868006M,9.262328M,7.568379M,9.36828M,10.294171M,6.217416M,12.690444M,4.760297M,9.893319M,9.525711M,8.434999M,9.701452M,8.281109M,9.543235M,9.535217M,6.825522M,7.830706M,5.846979M,13.126065M,10.335418M,7.896262M,8.326152M,8.427362M,9.983586M,7.618281M,9.859438M,12.618142M,12.84881M,8.714301M,12.482209M,10.734823M,9.80701M,9.718698M,9.315784M,13.027524M,11.570605M,11.563644M,8.022993M,7.920012M,8.253932M,5.184508M,12.60684M,5.096574M,8.629844M,12.757165M,6.422476M,12.308782M,11.693151M,10.271078M,9.376452M,9.726515M,9.895061M,7.797542M,8.36626M,9.560739M,4.046043M,9.404488M,8.374475M,5.472364M,12.789622M,5.499439M,9.793584M,9.790594M,10.035452M,13.593969M,8.857261M,9.64991M,9.899883M,11.859999M,8.269924M,11.284166M,9.374784M,5.69241M,9.972636M,8.686975M,10.159417M,13.627044M,10.063992M,12.05607M,9.163583M,13.395068M,8.64429M,8.758784M,13.297355M,8.502295M,9.258305M,8.990722M,6.653645M,10.306225M,9.699201M,8.018946M,9.448415M,9.989582M,6.433327M,13.6985M,13.674927M,8.824424M,9.002182M,8.564965M,8.733775M,9.325995M,6.761692M,9.066478M,9.023037M,10.64809M,11.521771M,10.411612M,13.005393M,13.225069M,8.374625M,13.97173M,8.602252M,12.336243M,12.538434M,12.459443M,9.450306M,10.274796M,13.468076M,10.070629M,9.947298M,13.098402M,6.411754M,9.142301M,9.125007M,9.461067M,9.765378M,6.035024M,5.176881M,10.098082M,12.934964M,4.612448M,12.30808M,8.891729M,12.844409M,9.606449M,12.883066M,9.388296M,9.469502M,8.640365M,13.716647M,10.923044M,9.904943M,9.62843M
)224,32,148,242,30,23,416,303,0,SAMP39325,65535,39321[Run,Sys_localindex('IN1')][0,0,0,0]Traffic GHG quotaton/dif road_traffic_included = 'BAU' then 0 else Traffic_ghg_emission392,96,148,242,676,246,476,2242,104,114,416,303,0,MEAN[Run,Road_traffic_include]Traffic GHG emissionton/dTraffic_volume*Traffic_unit_emissio[pollutant='CO2']/1M272,96,148,242,26,371,416,303,0,MEAN[Sys_localindex('IN1'),Sys_localindex('IN2')]Traffic unit emissiong/km<a href="http://en.opasnet.org/w/Emission_factors_of_cars_on_air_pollutants">Opasnet variable</a>
The node was tested with upload #557.
var a:= get_sample('Op_en2989' {, '557'});
a[.in2=Car_types, .in1=pollutant]Table(Pollutant,Run)(
0.130618,0.105825,0.09007560000000001,0.0524532,0.14384,0.0617587,0.0678908,0.102643,0.0917984,0.105481,0.0259579,0.0499017,0.127705,0.117989,0.116671,0.0634055,0.0729363,0.0750369,0.0809053,0.0734305,0.0741116,0.13092,0.09065520000000001,0.140025,0.1646,0.0264019,0.0892525,0.101054,0.132373,0.111266,0.06962880000000001,0.0209689,0.07902380000000001,0.09015579999999999,0.107969,0.08495709999999999,0.09858989999999999,0.0477872,0.0557966,0.0595574,0.0997779,0.111825,0.0538299,0.135424,0.0437859,0.0264007,0.119174,0.117819,0.08493539999999999,0.0805698,0.07372430000000001,0.0883758,0.0420874,0.120162,0.06623130000000001,0.144691,0.0542325,0.120402,0.148631,0.11796,0.0760256,0.0731726,0.101578,0.0621417,0.133603,0.14426,0.148364,0.09719559999999999,0.07978590000000001,0.0565302,0.13033,0.06934460000000001,0.0577089,0.0782815,0.0839309,0.0693515,0.0880914,0.0484249,0.0366674,0.145662,0.128582,0.0343254,0.07873479999999999,0.0623236,0.0587468,0.1417,0.104757,0.0762656,0.0461,0.0664153,0.0760989,0.0954749,0.100554,0.119664,0.151828,0.123372,0.118965,0.102481,0.0975996,0.09942529999999999,0.106661,0.139438,0.11067,0.105816,0.11802,0.0390278,0.110451,0.158907,0.0577799,0.0745914,0.107268,0.0811084,0.123095,0.125976,0.138605,0.123649,0.0876454,0.105954,0.0494225,0.0705597,0.0637993,0.0656479,0.129329,0.138937,0.145162,0.0461541,0.11855,0.141775,0.101752,0.0847057,0.067005,0.139958,0.1277,0.0404997,0.05938,6.531609999999999m,0.124741,0.131447,0.141285,0.08857520000000001,0.0832179,0.104489,0.0762467,0.138994,0.0493315,0.09909030000000001,0.111735,0.06285789999999999,0.09330810000000001,0.0680431,0.0951779,0.08024480000000001,0.0648426,0.114794,0.105602,0.0375985,0.133493,0.0225894,0.049485,0.0819203,0.107158,0.106326,0.0612783,0.0311415,0.114423,0.10841,0.146758,0.137036,0.0831499,0.115069,0.0532442,0.102023,0.112008,0.0246524,0.0914258,0.123829,0.082493,0.0588314,0.0877637,0.115887,0.154626,0.127934,0.0448332,0.102486,0.116228,0.102661,0.0556822,0.14114,0.101782,0.0509117,0.0923586,0.0803523,0.150714,0.0673912,0.16091,0.019611,0.109398,0.049167,0.0926954,0.0128971,0.138418,0.121665,0.0561885,0.133573,0.0341283,0.09623520000000001,0.109667,0.0990868,0.06398089999999999,0.0613286,0.0819252,0.102637,0.0468432,0.0649269,0.155352,0.0784197,0.07559050000000001,0.0319414,0.0754753,0.0501721,0.0474513,0.034181,0.053842,0.073129,0.0694468,0.119288,0.0508443,0.117516,0.0250011,0.0993011,0.07385369999999999,0.07264379999999999,0.0490893,0.13149,0.024765,0.154578,0.0419439,0.103274,0.0849914,0.106591,0.07926420000000001,0.0768519,0.103362,0.103322,0.122863,0.05312,0.0680342,0.131377,0.0543382,0.112944,0.128461,0.0474533,0.0726924,0.121316,0.0713158,0.0437793,0.0803912,0.0604358,0.0699003,0.135542,0.137004,0.094944,0.0999178,0.0958769,0.110338,0.111513,0.0819956,0.0932118,0.0797963,0.0120034,0.0127327,0.0963591,0.06991459999999999,0.117914,0.0749642,0.07559639999999999,0.124943,0.111044,0.0159709,0.0684879,0.114311,0.045652,0.0394677,0.08856840000000001,0.0766966,0.06827419999999999,0.106171,0.0583102,0.09888470000000001,0.10507,0.08128000000000001,0.119331,0.103697,0.144319,0.0436518,0.129506,0.122952,0.0804906,0.08067190000000001,0.09455570000000001,0.0263701,0.040051,0.0932673,0.109036,0.055945,0.09438530000000001,0.118549,0.0528302,0.0995278,0.07808710000000001,0.115441,0.0129411,0.07991189999999999,0.137555,0.0254181,0.09263,0.0919687,0.0875711,0.125594,0.0466284,0.145002,0.0261927,0.0623414,0.149604,0.0218299,0.0274376,0.0397274,0.0788755,0.0629106,0.0516235,0.058305,0.126552,0.1449,0.13192,0.0946405,0.0915137,0.143162,0.122769,0.0897326,0.0359913,0.0469481,0.106204,0.0428345,0.0769508,0.06936870000000001,0.0185133,0.0671073,0.08315160000000001,0.123771,0.0767322,0.124264,0.137367,0.0956114,0.107263,0.0779735,0.0737728,0.0675877,0.1146,0.0752839,0.0948645,0.0467982,0.133691,0.124254,0.141043,0.101049,0.09037000000000001,0.128878,0.144901,0.134644,0.0922447,0.106126,0.06264019999999999,0.0974314,0.117433,0.0564019,0.0471661,0.030286,0.0519283,0.100932,0.0376168,0.02035,0.0773602,0.0781063,0.0586268,0.164608,0.129898,0.08209279999999999,0.0844341,0.145844,0.0877865,0.0173716,0.0454496,0.06483949999999999,0.12679,0.122438,0.105882,0.125123,0.0723274,0.118122,0.113421,0.110677,0.0732331,0.0509008,0.0979375,0.120342,0.07764020000000001,0.144126,0.114922,0.0523226,0.143582,0.0892815,0.0344513,0.0196124,0.0699356,0.108178,0.074117,0.0485824,0.141464,0.0306351,0.0653006,0.0720045,0.0185812,0.0467907,0.0576894,0.0227247,0.0429118,0.135251,0.0968128,0.0935091,0.0875514,0.07152160000000001,0.0305093,0.11025,0.111508,0.09415709999999999,0.0286311,0.116486,0.0560223,0.119253,0.127112,0.0484913,0.0785443,0.148191,0.0441676,0.0610234,0.105078,0.0442781,0.0911294,0.09918780000000001,0.0750054,0.0395319,0.11404,0.0507214,0.146615,0.106828,0.141145,0.0916708,0.07323209999999999,0.141138,0.141879,0.0433794,0.0461677,0.0780121,0.08245909999999999,0.0991586,0.0859322,0.138945,0.0872241,0.114445,0.100666,0.0547121,0.145507,0.096207,0.0678624,0.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232.877,230.517,147.2,152.129,228.708,145.912,240.505,150.809,250.592,159.66,158.839,165.37,157.713,245.64,156.734,224.878,170.729,151.781,237.626,150.727,245.236,154.391,228.303,158.857,219.559,169.848,237.121,225.898,160.83,233.39,214.528,158.953,147.034,154.402,155.238,160.281,218.689,174.933,212.133,173.366,152.999,142.932,166.577,244.447,174.317,167.839,250.928,228.177,224.703,160.994,244.67,233.048,165.177,228.796,214.431,145.36,165.316,222.343,222.979,140.58,169.95,154.466,163.125,248.286,147.046,159.278,149.044,140.326,162.498,148.024,237.919,232.78,166.458,213.437,229.273,239.77,156.763,171.453,169.48,249.984,158.641,167.064,227.784,164.708,160.726,160.566,229.602,229.267,241.325,153.279,156.482,220.802,233.078,158.409,227.702,223.336,222.985,221.21,158.609,238.873,234.459,228.917,225.169,225.821,151.351,180.371,229.775,228.192,154.295,160.996,209.847,142.955,235.118,155.565,240.902,213.583,217.152,246.55,160.567,146.968,159.162,211.107,223.942,149.161,250.158,160.31,238.827,155.905,154.064,153.463,173.463,161.608,152.006,176.363,232.851,156.294,225.862,235.838,242.4,230.04,239.603,240.602,151.997,154.39,152.55,215.857,234.337,182.274,139.223,232.871,156.172,232.625,222.626,249.635,143.694,172.233,236.208,169.485,237.399,165.748,160.664,151.816,161.047,178.083,235.611,142.475,154,155.397,220.274,228.903,159.539,231.799,212.023,165.665,141.934,160.987,233.764,152.326,242.549,243.881,148.551,244.047,219.692,229.592,230.056,147.266,163.461,237.292,153.529,163.005,221.723,227.947,233.064,154.098,233.913,181.556,146.178,169.799,219.48,173.888,229.633,229.637,159.165,149.042,182.856,164.262,226.42,224.149,223.92,157.747,241.347,143.229,170.306,225.326,227.683,165.324,144.691,161.127,168.828,155.861,174.239,165.58,239.173,243.558,248.257,152.246,177.109,248.789,162.617,146.706,147.071,169.516,159.184,150.241,172.12,154.153,163.688,225.035,244.308,228.438,236.582,147.222,155.22,157.517,215.243,165.905,167.663,231.783,244.289,156.529,154.64,170.673,239.615,226.688,231.167,153.167,155.484,170.628,218.038,243.342,155.652,235.857,237.917,244.687,148.484,241.228,142.783,146.511,221.509,167.025,164.037,146.831,157.658,146.52,234.182,224.114,241.287,156.387,172.569,224.855,164.898,165.234,173.572,226.35,142.673,223.511,223.857,241.386,221.966,241.912,158.207,235.765,237.185,241.934,178.812,245.657,245.327,177.92,143.058,233.161,169.51,245.379,237.77,241.161,176.166,242.639,223.48,146.735,233.369,217.491,224.505,163.25,161.47,148.21,157.669,161.113,231.553,243.818,234.386,222.69,216.45,166.999,179.706,233.967,156.991,173.698,168.057,222.748,164.534,169.847,240.344,155.936,244.33,146.308,229.986,237.154,166.278,230.515,146.338,164.142,169.129,159.717,165.615,145.894,167.37,167.296,156.774,228.505,154.584,166.772,150.816,221.536,236.277,251.45,250.924,237.083,232.068,228.777,170.364,152.891,154.525,164.532,229.557,148.49,219.353,235.844,142.956,214.459,166.202,157.721,149.427,165.452,156.076,239.194,172.091,161.436,171.777,163.012,238.016,162.121,170.976,245.558,224.714,161.104,220.069,230.313,162.561,232.157,236.056,231.918,166.026,177.357,232.578,251.184,142.801,238.325,235.266,173.892,238.237,218.485,239.732,152.792,162.604,235.722,150.797,162.126,151.081,215.498,155.808,221.905,147.314,165.162,160.946,148.28,227.924,224.363,239.276,229.609,181.622,222.329,145.574,171.569,151.888,165.291,165.221,183.206,214.58,154.265,240.712,162.398,215.598,166.789,232.118,153.414,248.492,166.615,149.082,161.4,244.26,161.797,154.636,160.354,229.054,165.335,175.998,156.116,158.377,226.976,147.397,227.468,235.246,237.893,163.056,219.514,238.9,161.466,145.26,240.462,227.164,232.139,154.31,146.048,163.643,240.131,229.037,225.086,236.558,165.659,214.146,152.694,166.872,214.349,154.211,148.156,237.089,151.082,237.611,230.417,231.695,235.407,155.935,144.146,245.026,216.428,230.987,146.146,222.697,219.391,152.673,249.408,220.056,243.323,241.674,163.479,224.329,151.896,216.385,250.466,162.59,172.547,161.484,225.307,172.945,244.701,232.981,220.534,240.509,242.867,169.557,152.135,159.306,150.015,163.591,244.763,148.621,165.939,232.126,234.588,166.566,166.602,224.089,168.125,237.305,227.417,169.578,216.994,148.087,145.736,176.524,247.32,158.254,177.283,240.132,167.615,152.578,232.276,167.651,243.355,228.585,235.437,157.419,225.691,155.486,217.843,160.678,164.718,150.237,170.542,243.018,168.487,221.298,211.892,216.723,163.757,155.71,224.309,156.456,250.303,164.221,176.487,227.741,234.573,236.171,151.784,235.28,167.125,168.566,151.883,242.158,152.905,229.799,232.938,162.622,229.317,241.792,152.756,232.081,230.611,224.686,156.886,224.109,231.198,222.997,145.866,232.31,167.721,166.741,157.738,148.546,172.762,245.723,248.613,140.237,218.427,164.18,230.212,161.024,247.168,228.357,171.091,214.978,223.118,155.539,164.074,228.373,240.746,232.566,229.039,159.705,235.417,239.396,216.616,177.407,147.28,239.685,156.519,143.467,224.368,144.733,229.156,240.131,249.522,237.272,233.845,157.69,241.812,248.289,239.493,235.794,170.701,239.808,228.537,243.851,1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)272,160,148,242,777,453,416,303,0,MEAN39325,65535,39321[Sys_localindex('IN2'),Sys_localindex('IN1')]2,D,4,2,0,0,4,0,$,0,"ABBREV",0[Sys_localindex('IN1'),3,Sys_localindex('J'),1,Run,1]Car typesindex i:= ['Bus','Minibus','Car (d)','Car (g)'];
sample(chancedist(0.25,i,i))Table(Year,Run)(
'Minibus','Bus','Car (d)','Car (g)','Minibus','Car (d)','Minibus','Car (d)','Bus','Car (d)','Car (g)','Car (g)','Car (d)','Minibus','Car (d)','Bus','Car (g)','Car (d)','Bus','Car (d)','Minibus','Car (d)','Bus','Car (d)','Bus','Car (g)','Minibus','Bus','Car (d)','Bus','Bus','Car (g)','Car (d)','Car (d)','Car (d)','Car (g)','Bus','Car (g)','Bus','Car (g)','Car (d)','Car (d)','Car (g)','Minibus','Car (g)','Car (g)','Minibus','Bus','Bus','Car (g)','Minibus','Bus','Car (g)','Bus','Minibus','Car (d)','Car (g)','Bus','Bus','Car (d)','Car (g)','Car (g)','Car (d)','Minibus','Car (d)','Car (d)','Car (d)','Car (d)','Car (d)','Car (d)','Minibus','Bus','Car (g)','Minibus','Bus','Bus','Car (d)','Car (g)','Car (g)','Minibus','Car (d)','Car (g)','Minibus','Car (g)','Car (g)','Car (d)','Bus','Bus','Bus','Car (d)','Car (d)','Bus','Minibus','Car (d)','Minibus','Minibus','Bus','Bus','Car (d)','Bus','Minibus','Bus','Bus','Minibus','Car (d)','Car (g)','Minibus','Minibus','Car (g)','Car (d)','Minibus','Car (d)','Minibus','Car (d)','Minibus','Minibus','Minibus','Minibus','Car (d)','Car (d)','Car (g)','Bus','Bus','Car (d)','Minibus','Car (d)','Minibus','Car (d)','Car (d)','Car (d)','Car (g)','Car (d)','Car (d)','Car (g)','Bus','Car (g)','Minibus','Bus','Minibus','Minibus','Bus','Minibus','Car (d)','Car (d)','Car (d)','Minibus','Bus','Car (g)','Car (d)','Bus','Car (d)','Minibus','Minibus','Minibus','Car (d)','Car (g)','Bus','Car (g)','Bus','Car (g)','Car (d)','Car (d)','Car (g)','Car (g)','Bus','Car (d)','Car (d)','Car (d)','Minibus','Minibus','Car (d)','Bus','Minibus','Car (g)','Car (d)','Car (d)','Minibus','Car (d)','Minibus','Bus','Car (d)','Bus','Minibus','Bus','Minibus','Car (d)','Car (g)','Minibus','Car (d)','Car (g)','Minibus','Minibus','Minibus','Car (g)','Minibus','Car (g)','Car (d)','Car (g)','Minibus','Car (g)','Minibus','Minibus','Car (g)','Car (d)','Car (g)','Car (d)','Bus','Bus','Bus','Car (d)','Minibus','Car (d)','Car (g)','Bus','Bus','Car (g)','Car (d)','Car (g)','Car (g)','Car (g)','Car (g)','Car (g)','Bus','Minibus','Minibus','Car (d)','Car (g)','Minibus','Car (g)','Car (d)','Car (d)','Car (g)','Car (g)','Car (d)','Car (g)','Car (d)','Car (g)','Bus','Bus','Minibus','Bus','Car (d)','Car (d)','Car (d)','Minibus','Car (g)','Car (g)','Bus','Bus','Car (d)','Car (d)','Car (g)','Bus','Minibus','Minibus','Car (g)','Car (d)','Car (g)','Minibus','Bus','Car (d)','Minibus','Minibus','Minibus','Car (d)','Bus','Car (d)','Car (d)','Minibus','Car (g)','Car (g)','Car (d)','Car (d)','Car (d)','Bus','Minibus','Bus','Car (d)','Car (g)','Minibus','Car (d)','Car (g)','Car (g)','Bus','Car (d)','Bus','Bus','Bus','Bus','Bus','Car (d)','Bus','Minibus','Minibus','Car (g)','Minibus','Bus','Car (g)','Car (d)','Minibus','Car (g)','Minibus','Bus','Bus','Car (g)','Bus','Bus','Car (d)','Minibus','Minibus','Bus','Car (g)','Car (g)','Car (d)','Car (g)','Car (d)','Minibus','Minibus','Minibus','Bus','Minibus','Car (g)','Car (g)','Bus','Car (g)','Car (g)','Car (g)','Minibus','Car (g)','Car (g)','Minibus','Car (d)','Bus','Car (d)','Minibus','Bus','Car (d)','Minibus','Car (d)','Car (g)','Car (g)','Car (d)','Car (g)','Car (d)','Car (g)','Car (g)','Car (d)','Minibus','Car (d)','Car (g)','Car (d)','Minibus','Bus','Bus','Bus','Bus','Minibus','Minibus','Car (g)','Car (d)','Car (g)','Car (d)','Bus','Car (d)','Bus','Bus','Car (d)','Bus','Car (d)','Car (d)','Car (d)','Car (g)','Car (d)','Bus','Car (g)','Car (g)','Car (g)','Car (g)','Bus','Car (g)','Car (g)','Minibus','Minibus','Car (g)','Bus','Minibus','Car (g)','Bus','Minibus','Minibus','Car (g)','Car (g)','Bus','Bus','Car (d)','Minibus','Bus','Car (g)','Minibus','Bus','Minibus','Car (d)','Car (d)','Minibus','Car (d)','Car (d)','Car (d)','Minibus','Car (g)','Bus','Car (d)','Car (g)','Car (g)','Car (d)','Bus','Minibus','Minibus','Minibus','Car (g)','Minibus','Car (d)','Car (g)','Car (d)','Car (d)','Car (g)','Car (g)','Bus','Car (d)','Minibus','Car (d)','Bus','Car (g)','Minibus','Car (d)','Bus','Car (g)','Car (d)','Car (d)','Bus','Car (d)','Car (g)','Car (g)','Minibus','Car (g)','Car (g)','Car (d)','Car (d)','Bus','Car (d)','Bus','Minibus','Minibus','Car (g)','Bus','Bus','Car (d)','Car (d)','Minibus','Bus','Bus','Car (g)','Car (d)','Car (g)','Minibus','Minibus','Minibus','Minibus','Car (d)','Bus','Car (d)','Car (g)','Minibus','Car (d)','Car (d)','Bus','Car (d)','Bus','Bus','Bus','Minibus','Car (d)','Car (d)','Minibus','Bus','Minibus','Car (d)','Bus','Minibus','Car (d)','Bus','Minibus','Bus','Bus','Car (g)','Bus','Car (d)','Bus','Bus','Car (g)','Car (g)','Car (d)','Minibus','Car (g)','Minibus','Bus','Minibus','Minibus','Minibus','Car (g)','Car (d)','Car (d)','Car (d)','Car (d)','Bus','Car (d)','Car (g)','Bus','Minibus','Car (g)','Car (g)','Minibus','Car (g)','Bus','Bus','Car (g)','Bus','Car (d)','Car (d)','Car (g)','Bus','Car (d)','Car (g)','Bus','Car (g)','Car (d)','Bus','Car (g)','Bus','Bus','Bus','Car (g)','Bus','Car (d)','Minibus','Car (d)','Car (g)','Car (d)','Car (g)','Bus','Car (g)','Bus','Minibus','Bus','Car (g)','Car (d)','Bus','Car (g)','Minibus','Car (g)','Car (g)','Bus','Bus','Bus','Car (d)','Minibus','Car (g)','Car (g)','Car (d)','Minibus','Car (d)','Minibus','Bus','Car (g)','Minibus','Minibus','Car (d)','Bus','Minibus','Bus','Car (d)','Bus','Minibus','Bus','Car (d)','Bus','Car (g)','Car (g)','Car (d)','Car (d)','Car (g)','Bus','Minibus','Car (d)','Bus','Car (d)','Bus','Car (d)','Bus','Bus','Car (g)','Minibus','Minibus','Car (d)','Car (g)','Minibus','Minibus','Minibus','Bus','Car (g)','Minibus','Minibus','Minibus','Car (g)','Car (d)','Bus','Car (d)','Car (d)','Bus','Car (d)','Minibus','Bus','Bus','Bus','Minibus','Car (g)','Bus','Minibus','Minibus','Bus','Car (g)','Minibus','Minibus','Minibus','Car (d)','Car (d)','Car (g)','Car (g)','Minibus','Minibus','Car (d)','Minibus','Car (g)','Car (g)','Car (g)','Minibus','Car (d)','Car (g)','Minibus','Car (g)','Minibus','Car (g)','Bus','Car (g)','Car (d)','Car (d)','Minibus','Minibus','Car (d)','Minibus','Bus','Car (g)','Car (d)','Bus','Minibus','Bus','Car (g)','Car (d)','Car (d)','Car (g)','Minibus','Car (d)','Minibus','Bus','Bus','Car (g)','Bus','Minibus','Minibus','Car (d)','Bus','Minibus','Minibus','Minibus','Bus','Car (g)','Bus','Car (g)','Car (g)','Bus','Minibus','Bus','Minibus','Minibus','Car (d)','Minibus','Bus','Car (d)','Car (d)','Bus','Minibus','Car (g)','Minibus','Bus','Car (d)','Car (d)','Car (d)','Bus','Bus','Car (g)','Car (d)','Car (d)','Car (g)','Bus','Bus','Bus','Bus','Minibus','Minibus','Bus','Bus','Bus','Minibus','Car (g)','Bus','Minibus','Car (d)','Car (d)','Car (g)','Minibus','Bus','Minibus','Car (d)','Car (d)','Car (g)','Minibus','Minibus','Car (d)','Car (g)','Minibus','Car (d)','Car (g)','Bus','Car (g)','Car (g)','Car (g)','Car (g)','Car (g)','Minibus','Car (g)','Minibus','Car (g)','Car (d)','Minibus','Bus','Bus','Bus','Car (d)','Car (d)','Minibus','Bus','Car (d)','Car (g)','Car (d)','Bus','Car (d)','Car (g)','Minibus','Bus','Minibus','Car (d)','Car (d)','Minibus','Car (g)','Car (d)','Minibus','Car (d)','Bus','Minibus','Car (d)','Bus','Minibus','Car (g)','Minibus','Minibus','Minibus','Minibus','Minibus','Bus','Minibus','Bus','Car (g)','Minibus','Minibus','Car (g)','Minibus','Minibus','Car (g)','Car (g)','Minibus','Car (d)','Car (d)','Bus','Car (g)','Bus','Car (g)','Bus','Minibus','Minibus','Car (d)','Car (d)','Car (g)','Car (g)','Car (d)','Car (d)','Bus','Car (g)','Minibus','Car (d)','Minibus','Car (g)','Bus','Bus','Minibus','Car (d)','Bus','Bus','Car (d)','Bus','Bus','Car (d)','Car (d)','Car (g)','Car (g)','Car (g)','Bus','Minibus','Car (g)','Minibus','Minibus','Car (d)','Minibus','Car (g)','Car (g)','Bus','Minibus','Car (d)','Car (g)','Car (g)','Car (g)','Bus','Car (g)','Car (d)','Minibus','Car (d)','Car (g)','Minibus','Car (g)','Car (d)','Bus','Car (d)','Bus','Bus','Minibus','Bus','Minibus','Minibus','Car (g)','Minibus','Minibus','Car (g)','Car (g)','Bus','Minibus','Bus','Minibus','Minibus','Car (d)','Minibus','Car (g)','Bus','Car (g)','Car (g)','Minibus','Car (g)','Car (d)','Bus','Car (g)','Car (g)','Car (g)','Minibus','Car (g)','Minibus','Minibus','Car (d)','Car (g)','Car (g)','Car (g)','Car (d)','Minibus','Car (d)','Bus','Minibus','Bus','Car (g)','Bus','Car (d)','Car (g)','Minibus','Car (g)','Car (g)','Car (d)','Car (g)','Bus','Minibus','Bus','Car (d)','Bus','Minibus','Car (d)','Car (d)','Car (d)','Minibus','Car (g)','Car (g)','Car (g)','Car (g)','Car (d)','Bus','Minibus','Car (g)','Bus','Bus','Car (g)','Car (d)','Minibus','Minibus','Minibus','Minibus','Car (g)','Minibus','Car (g)','Bus','Minibus','Bus','Car (d)','Car (d)','Bus','Bus','Car (g)','Car (g)','Bus','Bus','Car (g)','Car (g)','Minibus','Bus','Minibus','Car (g)','Bus','Car (g)','Car (g)','Minibus','Bus','Bus','Car (g)','Car (d)','Bus','Minibus','Bus','Bus','Car (d)','Car (d)','Car (d)','Bus','Bus','Bus','Bus','Bus','Car (g)','Car (d)','Car (g)','Bus','Car (g)','Minibus','Minibus','Bus','Car (g)','Bus','Car (d)','Bus','Car (g)','Bus','Car (g)','Bus','Minibus','Bus','Bus','Minibus','Minibus','Bus'
)168,208,148,242,408,418,416,303,0,MEAN[Year,Run][0,1,1,0]Year[2005]168,240,148,12[2005]General partsjtue2. jouta 2008 9:58 48,24520,144,148,241,1,0,1,1,1,0,,0,1,86,74,550,300,17Area1001..112996,112,148,12[1001,1002,1003,1004,1005,1006,1007,1008,1009,1010,1011,1012,1013,1014,1015,1016,1017,1018,1019,1020,1021,1022,1023,1024,1025,1026,1027,1028,1029,1030,1031,1032,1033,1034,1035,1036,1037,1038,1039,1040,1041,1042,1043,1044,1045,1046,1047,1048,1049,1050,1051,1052,1053,1054,1055,1056,1057,1058,1059,1060,1061,1062,1063,1064,1065,1066,1067,1068,1069,1070,1071,1072,1073,1074,1075,1076,1077,1078,1079,1080,1081,1082,1083,1084,1085,1086,1087,1088,1089,1090,1091,1092,1093,1094,1095,1096,1097,1098,1099,1100,1101,1102,1103,1104,1105,1106,1107,1108,1109,1110,1111,1112,1113,1114,1115,1116,1117,1118,1119,1120,1121,1122,1123,1124,1125,1126,1127,1128,1129]Season['Winter','Spring','Summer','Autumn']96,80,148,12['Winter','Spring','Summer','Autumn']Duration of seasonfractionDuration of season, measured as the fraction of year. The definitions:
Winter: daily average temperature < 0 °C
Spring: daily average temperature >= 0 and <10 °C after winter
Summer: daily average temperature >= 10 °C
Autumn: daily average temperature >= 0 and <10 °C after summerTable(Season)(
0.25,0.25,0.25,0.25)96,48,148,24Pollutant['PM','CO2']224,40,148,12['PM','CO2']GHG emissionton/atraffic_ghg_emission
+sum(Plant_ghg_emission, plant_type)
+sum(sum(electricity_ghg_emission, plant_type), season)280,192,148,242,800,302,416,303,0,MEAN[Coverage_of_district,Plant_type]Road traffic included['BAU','Yes']56,32,148,24Exemption to small plants['BAU','No']280,32,148,24Unit cost of GHGe/tonuniform(10,30)280,264,148,2465535,52427,65534Internal costTraffic_internal_cos +Plant_internal_cost +Electricity_internal;
array(coverage_of_district_heating,[0,uniform(0.5M,1.5M)])168,192,148,24[Coverage_of_district,Season][1,0,0,0]Unit cost of healthDALY/casevar severity:= 1;
var duration:= 10;
var VSLY:= 100k;
severity*duration*VSLY56,320,148,2465535,52427,65534Cost type['Internal cost','Health cost','Climate cost','GHG trade cost']168,320,148,12GHG quotatraffic_ghg_quota +Plant_ghg_quota +electricity_ghg_quota392,192,148,242,655,251,416,303,0,MEAN[Coverage_of_district,Exemption_to_small_p]ERF of PM2.5 on mortality1 per ug/m3var Pope:= 0.006;
Var Dockery:= 0.26/18;
var plausibility:= bernoulli(0.9);
var a:= bernoulli(0.5);
(a*Pope+(1-a)*Dockery)*plausibility160,368,148,242,152,162,416,303,0,MIDM[0,0,0,0]Value of informationjtue11. Julta 2005 14:25jtue11. Julta 2005 15:2348,24520,32,148,241,0,1,1,1,1,0,0,0,01,617,64,451,300,17(out:prob;deci:indextype;input:prob;input_ind:indextype;classes)VOIValue of information (VOI) Version 2.
This function calculates the total VOI (expected value of perfect information, EVPI) for a given decision, and VOI (expected value of partial perfect information, EVPPI) for certain variables. The outcome to be optimised is out; the decision to be made must be indexed by deci; the variables for EVPPI calculation must be listed in input, which is indexed by input_ind. The solution is numerical, and for this purpose, the outcome is classified into a number of bins (the number is defined by classes, which may be a number or an array of numbers). The VOI function assumes that costs are calculated and that the correct optimising function is MIN.
Procedure
First, a new index is generated. It contains 'Total VOI' in the first row and the EVPPI variables in the subsequent rows. Then, net cost under uncertainty (ncuu) and evpi are calculated.
The rest of the procedure is calculated separetely for each value of classes.
Varia is a temporary index that has classes number of bins.
Each iteration is located in one of the bins depending on the value of input. After this classification, the value of out is located into the bin for that iteration. When the mean is taken, the result is the average of outcome multiplied by the probability that the true value of input is in the same bin. The best decision is made given the bin, and then the expected outcomes of each bin are summed up. When ncuu is subtracted from this value, we get EVPPI. Finally, the EVPI and EVPPI are concatenated into a single index.
It may be a good idea to include a row 'Blank' in the input_ind and use it for a random variable that is NOT part of the model. This gives a rough estimate on how much random noise may produce VOI in the system. It might also be good to use different values for Classes, because there may be numerical instability with low iteration numbers, and it is not obvious what low is in each case.
Developed by Jouni Tuomisto and Marko Tainio, National Public Health Institute (KTL), Finland, 2005.index a:= ['Total VOI'];
index variable:= concat(a,input_ind);
var ncuu:= min(mean(sample(out)),deci);
var evpi:= (if a='Total VOI' then mean(min(sample(out),deci))-ncuu else 0);
for x[]:= classes do (
index varia:= sequence(1/x,1,1/x);
var evppi:= ceil(rank(input,run)*x/samplesize)/x;
evppi:= if evppi=Varia then out else 0;
evppi:= sum(min(mean(evppi),deci),varia)-ncuu;
-concat(evpi,evppi,a,input_ind,variable) )64,40,148,242,620,19,476,676out,deci,input,input_ind,classes?.?Ennen maaliskuuta.2005 Jouni Tuomisto
Keksin juuri uuden konseptin: Value of consensus (VOC) joka lasketaan niist muuttujista, jotka eivt ole epvarmuutta vaan vaihtelua vestss. Se lasketaan siis samalla tavalla kuin VOI mutta tulkinta on eri: mik on arvo sille, jos saataisiin kaikki konsensukseen jonkin muuttujan arvon taakse (eri arvoja painotetaan sen suhteessa, paljonko niiden alkuperinen kannatus on).
11.7.2005 Jouni Tuomisto
Pivitettiin VOI versio 1 versioksi 2. Laskentaa ei muutettu muuta kuin rivijrjestyst siistimll. Lisksi kirjoitettiin ensimminen kunnon (?) Description-osa.ClassesThe number of classes in the value-of-information analysis. This is a technical parametre only, and it should be large enough. However, the samplesize should be at least 100 times larger than this to avoid random noise.[17,29]64,88,148,122,102,90,476,40552425,39321,65535Huom! Kaikki alajuoksun solmut eivt toimi, jos tm on indeksi. Kuitenkin uusi VOI-solmu toimii.VOI for district heatingvoi1(sum(Total_cost[dmer='Society'],cost_type), coverage_of_district_heating, va2, in1, classes)192,64,148,242,445,470,416,303,0,MIDM[Classes,Sys_localindex('VARIABLE')]['Add uncertain variable']192,160,148,122,863,298,416,303,0,MIDM['Add uncertain variable']Table(In1)(
0)192,128,148,242,296,306,663,303,0,MIDM2,72,82,416,303,0,MIDM[In1,In1,Undefined,Undefined,Undefined,2]Note! Road traffic module is based on static nodes originally drawn from the Opasnet Base. Do NOT change samplesize!440,256,-1104,36