0
0
1
2
0
0
pahz
15. tamta 2009 11:29
pahz
17. helta 2010 13:16
48,24
1,15,13,664,509,17
Arial, 15
0,Model Bioher_model1_ahtoni,2,2,0,1,N:\YMAL\Projects\BIOHER\Mallit\Bioher_model_3.ANA
Exposure
pahz
19. tamta 2009 9:22
48,24
184,344,1
48,24
1,561,277,626,533,17
BR
m3/s
20/(24*60*60)
240,144,1
48,24
19661,54073,65535
Intake fraction for pm2.5
intake fraction for pm2.5 emissions of residential (primary and secondary) wood combustion. Adobted from Piltti calculations: N:\YMAL\Projects\R83_piltti\Mallit\Health_effects
0.00000338400508141913
240,232,1
48,31
2,680,381,476,224
19661,54073,65535
Old parts
pahz
27. maata 2009 13:14
48,24
448,80,1
48,24
1,1,7,582,353,17
Emission sources
includes primary and secundary domestic wood combustions
['Residential wood combustion']
96,44,1
48,20
2,102,90,476,224
Human behaviour?
96,152,1
48,24
Sleeping
208,96,1
48,24
Excercises
208,144,1
48,24
Cooking
208,192,1
48,24
meteorology
96,256,1
48,24
Driving car
208,240,1
48,24
T, Moist., UV
88,296,1
40,16
weight?
['item 1']
112,48,1
40,16
Stress factors??
208,48,1
48,24
Exposure to PM2.5 of houses
ug/m^3
(Q*iF)/(BR*Pop), where
Q (mg/s)
BR (m^3/s)
(Total_pm2_5_emission*Intake_fraction_for_)/(Br*Population_in_bioher)*1000
432,152,1
48,31
2,21,474,476,224
Exposure to PM2.5 of plant
ug/m^3
(Pm2_5_emissions_of_p*Intake_fraction_for_)/(Br*Population_in_bioher)*1000
432,240,1
48,31
2,175,412,476,292
Exposure in Bioher
(Q*iF)/(BR*Pop), where
Q (mg/s)
BR (m^3/s)
152,448,1
48,24
[Objective Emission_in_bioher]
Population
pahz
27. helta 2009 13:13
48,24
64,152,1
48,24
1,632,169,550,510,17
age
['lapset(0-17)','nuoret (18-2)','keski ika','eläk']
160,360,1
36,12
['lapset(0-17)','nuoret (18-2)','keski ika','eläk']
Sex
['Male','Female']
152,264,1
48,13
['Male','Female']
educ_groups
['korkeako','Ammatillinen','Yliopppilas','Peruskoulu']
152,168,1
52,12
2,47,346,476,224
['korkeako','Ammatillinen','Yliopppilas','Peruskoulu']
Groups of education
persons
This is not right: some of educ groups is missing. Sum of groups is not finnish total number of population!!!!
Used subgroups of population. Data from Finnish total numbers of population in the year 2005 : \\cesium.ktl.fi\RIF$\DataGIS\gisadata_ktl\tilasto\ruutu2005\asukkaat2005_grid250m.shp (Finland Statistics)
Table(Educ_groups)(
570.267K,1.793804M,325.831K,1.398225M)
160,128,1
48,31
2,206,512,416,303,0,MIDM
Total population
Population_in_bioher
464,168,1
48,31
Groups of male/female
Used subgroups of population. Data from Finnish total numbers of population in the year 2005 : \\cesium.ktl.fi\RIF$\DataGIS\gisadata_ktl\tilasto\ruutu2005\asukkaat2005_grid250m.shp (Finland Statistics)
2.539492M
152,232,1
48,24
2,69,184,476,224
2,61,344,416,303,0,MIDM
Groups of age
Used subgroups of population. Data from Finnish total numbers of population in the year 2005 : \\cesium.ktl.fi\RIF$\DataGIS\gisadata_ktl\tilasto\ruutu2005\asukkaat2005_grid250m.shp (Finland Statistics)
1.094751M
160,328,1
48,24
male_female
persons
male/female amounts of population calculated of Finland total numbers
Groups_of_male_femal/(sum(Groups_of_male_femal))*Total_population
336,256,1
48,24
2,164,335,476,224
2,183,392,416,303,0,MIDM
education
amounts of educational subgroups of population calculated of Finland total numbers
Groups_of_education/(sum(Groups_of_education))*Total_population
328,184,1
48,24
2,52,316,476,224
age
This is wrong cause sum of age groups is not total number of finnish population some age groups are missing!!!!
Groups_of_age/(sum(Groups_of_age))*Total_population
336,312,1
48,24
Finnish population
Suomen väkiluku vuonna 2004 (lähde:stat)
5203826
80,56,1
48,24
Population in BIoher
2000-10000 Tarkastellaan 10 000 asukkaan lähiötä
10000
344,120,1
48,24
2,595,567,476,224
65535,52427,57888
Population in Finland
Population of Finland for year 2008 (http://en.opasnet.org/w/Population_of_Finland)
Table(Sex)(
2.578046M,2.688222M)
344,64,1
52,24
2,102,90,476,224
65535,52427,57888
[Undefined,Sex]
Costs of heating
pahz
19. tamta 2009 9:22
48,24
352,248,1
48,24
1,476,317,579,417,17
Investment expences
e/year
504,32,1
48,24
65535,52427,57888
Service expences
e/year
504,104,1
48,24
65535,52427,57888
Costs of heating
euro
(Energy_expences+Investment_expences+Service_expences)
328,248,1
48,31
[Variable Energy_price]
Index Fuel_type_hh
Energy price
e/year
Fuel_consumption_of_*Fuel_price
120,232,1
48,24
19661,48336,65535
[Variable Costs_of_heating]
Fuel price
e/kWh
Table(Fuels)(
0,0,0,0)
120,296,1
48,24
65535,52427,57888
[Fuels]
[Fuel_type,1,Fuel_type_hh,1,Heating_site,1]
fuels
['light oil','heavy oil','pellet','wood chip']
120,328,1
36,12
['light oil','heavy oil','pellet','wood chip']
Fuel consumption of buildings
kg/m^2 year
Fuel consumption per m^2
Total_heating_consu1/Heating_value_as_kwh
120,161,1
48,40
[Apartment,Fuel]
Heating value as MJ
MJ/kg
Lämpöarvot polttoaineille
VTT:n raportista Alavirta 200. ja täältä:
http://www.motiva.fi/fi/toiminta/uusiutuva-energia/bioenergia/biopolttoaineidenlampoarvoja/
Table(Fuel)(
0,42.5,19.1,0,0,0)
120,24,1
48,24
2,160,859,476,224
2,697,294,416,303,0,MIDM
2,383,577,416,303,0,MIDM
65535,52427,57888
Heating value as kWh
kWh/kg
MegaJoulet muunnettu kWh. Kerroin VTT:n raportista Alavirta 200. ja täältä:
http://www.motiva.fi/fi/toiminta/uusiutuva-energia/bioenergia/biopolttoaineidenlampoarvoja/
var a:= Heating_value_as_mj;
var heating_factor:= 0.2778;
a*heating_factor
120,88,1
48,31
65535,52427,57888
Total costs
0
440,312,1
48,24
Total_costs
EF as kWh/kg
kWh/kg heavyoil and wood
http://www.finlex.fi/data/normit/29520-D5-190607-suomi.pdf
Taulukko 3.2. Polttoaineiden teholliset lämpöarvot.
Polttoaine Tehollinen lämpöarvo Qpolttoaine, omin
Raskas polttoöljy 11,4 kWh/kg
Kevyt polttoöljy 10,0 kWh/dm3
Maakaasu 10,0 kWh/m3n
Polttopuu yleensä (pilkkeet) 4,1 kWh/kg
Pilkkeet (havuja sekapuu) 1300 kWh/pino-m3
Pilkkeet (koivu) 1700 kWh/pino-m3
Puupelletit 4,7 kWh/kg
Polttohake 900 kWh/irto-m3
Kivihiili 6,6 kWh/kg
Palaturve 3,3 kWh/kg
Puubriketit 4,8 kWh/kg
Table(Fuels)(
0,11.4,4.7,4.8)
496,200,1
48,24
2,102,90,660,425
Health effects
pahz
19. tamta 2009 9:22
48,24
184,416,1
48,24
1,516,57,660,677,17
Exposure Response
distribution (or the best value) of different ER knowledge (change in non-accidental mortality due to 1 ug/m^3 change in fine particle exposure(%)
Miten tämä ilmoitetaan?
Normal( 0.6, 1 )
240,160,1
48,24
65535,52427,57888
Premature mortality
sum (Exposure_for_pm2_5_e,Fuel_type)*Bakground_mortality*(Exposure_response/100)
536,448,1
48,24
2,103,498,476,224
2,370,383,416,303,0,MIDM
[E_class,Fuel]
[Variable Costs_of_premature_m]
[Apartment,1,Fuel,1,E_class,1]
Background mortality
deaths/year
(Mortality_of_finland/sum(Population_in_finlan,Sex))*Population_in_bioher
152,112,1
48,24
2,510,183,476,224
19661,54073,65535
Cardiobulmonary
536,280,1
48,24
[Variable Costs_of_cardiobulmo]
Cancer
536,336,1
48,24
[Variable Costs_of_cancer]
Respiratory symptoms
536,392,1
48,24
[Variable Costs_of_respiratory]
Mortality of Finland population
number of cases per year
see. e.g. Piltti report!!
45180
152,40,1
48,31
2,577,70,476,224
65535,52427,57888
Probabilities
Table(Particles,Fractile)(
0.062,0.6800000000000001,1.1,2.4,8,
0,0.018,0.25,0.36,1
)
400,488,1
48,24
2,252,306,416,303,0,MIDM
[Particles,Fractile]
[Fractile,Particles]
Mortality
Concentration*Er_distribution*Bm
256,608,1
48,24
Particles
['Primary','Secondary']
400,528,1
40,16
['Primary','Secondary']
Fractile
[0.05,0.25,0.5,0.75,0.95]
256,424,1
40,16
[0.05,0.25,0.5,0.75,0.95]
ER for LT- mortality
Table(Fractile)(
0.06,0.42,0.6,1,3.8)
256,384,1
48,24
2,691,304,416,303,0,MIDM
ER distribution
Probdist( Probabilities, Er_for_lt__mortality )
256,488,1
48,24
2,312,206,732,419,1,PDFP
[Undefined,Particles,Undefined,Undefined,Undefined,1]
[1,0,0,0]
Concentration
ug/m3
Table(Particles)(
2.63,3)
136,488,1
56,20
BM
Background mortality of Finnish population
45180
400,608,1
48,24
Total mortality of PM2.5 emissions of own heating in houses
C*(CR/100)*BM
Exposure_to_pm2_5_of*(Exposure_response/100)*Background_mortality
104,264,1
48,67
2,48,444,416,303,0,MIDM
Total mortality of plant PM2.5 emissions
C*(CR/100)*BM
Exposure_to_pm2_5_o1*(Exposure_response/100)*Background_mortality
240,256,1
48,40
Costs of health effects
pahz
19. tamta 2009 9:22
48,24
352,416,1
48,32
1,681,534,586,291,17
Costs of Cardiobulmonary disease
104,57,1
48,40
65535,52427,57888
[Variable Cardiobulmonary]
[Variable Total_he_costs]
Costs of cancer
224,56,1
48,24
65535,52427,57888
[Variable Cancer]
[Variable Total_he_costs]
Costs of premature mortality
432,56,1
48,31
65535,52427,57888
[Variable Premature_mortality]
[Variable Total_he_costs]
Costs of respiratory symptoms
328,57,1
48,31
65535,52427,57888
[Variable Respiratory_symptoms]
[Variable Total_he_costs]
Total HE costs
264,232,1
48,24
[Variable Costs_of_cardiobulmo, Variable Costs_of_cancer, Variable Costs_of_premature_m, Variable Costs_of_respiratory]
Total costs
0
408,240,1
48,24
Total_costs
House stock
pahz
10. helta 2009 13:23
48,24
184,152,1
48,24
1,689,15,377,379,17
Current fuel types in Finland
floor m2
Total house stock in Finland by house and fuel types: stat31.12.2007 (http://pxweb2.stat.fi/Dialog/varval.asp?ma=020_rak_tau_102_fi&path=../database/StatFin/asu/rak/&lang=3&multilang=fi)
pelletti=puu,turve
light oil= öljy, kaasu
Table(Apartment,Fuel)(
9.09977M,37.807361M,29.302174M,63.689441M,2.531745M,1.936187M,
14.769137M,7.545957M,202.905K,9.018459M,30.644K,133.193K,
75.523817M,9.63395M,357.568K,1.301344M,11.178K,513.657K
)
128,64,1
48,31
2,567,458,476,390
2,708,438,391,222,0,MIDM
2,726,363,508,297,0,MIDM
65535,52427,57888
[Apartment,Fuel]
[Apartment,Fuel]
[Index Apartment, Index Fuel]
Apartment
['Detached house','Row house ','Block house']
272,48,1
48,12
2,115,355,476,224
['Detached house','Row house ','Block house']
old
pahz
9. huhta 2009 12:37
48,24
264,168,1
48,24
1,0,1,1,1,1,0,,0,
1,127,429,915,357,17
Amount of buildings by heating type
How many buildings has own heating system and how many district heating system (affect
District_heating_cov;
var household_size:= 4;
Population_in_bioher/household_size*Fraction_of_detached*Current_fuel_types_i/sum(Population_in_finlan)
224,55,1
48,31
2,428,113,476,224
2,820,382,396,282,0,MIDM
19661,48336,65535
[Apartment,Fuel]
[Index Fuel]
[Gender,1,Fuel,1,Apartment,1]
Fraction of detached houses
(Apartment_types[Apartment='Detached house'])/sum(Apartment_types)
96,55,1
48,31
2,427,426,476,224
2,38,290,416,147,0,MIDM
2,574,546,416,139,0,MIDM
19661,48336,65535
Building heating type
Heating type of a random apartment. Detached houses and other apartments are shown separately.
var a:= Current_fuel_types_i;
a:= if fuel='District' and district_heating_cov=0 then 0 else a;
a:= chancedist(a,fuel,fuel);
a[apartment=Apartment_types];
a
96,207,1
48,24
2,14,334,476,224
2,13,101,373,235,0,MIDM
1,65535,65535
[District_heating_cov,Apartment,Undefined,Undefined,Undefined,2]
[Apartment,1,Run,1,District_heating_cov,1]
Apartment types
floor m2
Apartment types in Finland as floor m^2 stat 31.12.2007 [http://pxweb2.stat.fi/Dialog/varval.asp?ma=020_rak_tau_102_fi&path=../database/StatFin/asu/rak/&lang=3&multilang=fi]
Table(Apartment)(
145.122M,31.711596M,87.381256M)
96,127,1
48,24
2,238,537,463,260
2,321,64,416,303,0,MIDM
2,0,-23,953,649,0,SAMP
65535,52427,57888
[Apartment,Fuel]
[Apartment,Apartment,Undefined,Undefined,Undefined,2]
Need of energy
kWh/year
var a:= chancedist(E_fractions,E_class,E_class);
Energy_consumption_i[E_class=a]
416,135,1
48,28
2,570,381,479,265
2,250,360,416,303,0,MIDM
2,71,58,1135,349,0,SAMP
[Apartment,E_class]
[Cons_type,Fuel,Undefined,Undefined,Undefined,1]
[Type_of_apartment, 1, E_class, 1, Cons_type, 1 ]
e-fractions
Mikä on traditional?
Table(E_class)(
0.5,0.25,0.175,0.075)
408,223,1
48,24
2,503,11,416,263,0,MIDM
2,22,652,416,303,0,MIDM
65535,52427,57888
e_class
['Traditional','Current standard','Low-energy','Passive house']
408,247,1
44,12
2,841,146,416,258
['Traditional','Current standard','Low-energy','Passive house']
Energy consumption per build
kWh / year / apartment
This should be per apartment, not the whole house stock!
Table(Apartment,E_class)(
0,21.233K,127.34K,0,
0,21.233K,127.34K,0,
0,0,0,0
)
824,280,1
48,31
2,78,493,476,224
2,560,594,570,303,0,MIDM
2,528,224,416,286,0,MIDM
65535,52427,57888
[Apartment,E_class]
[Apartment,E_class]
Energy consumption in houses by fuel per building
kWh
Lämmitysjärjestelmäyhdistelmän energiankulutus vuodessa. Primäärisen käytetyn energiamuodon kulutus (Motiva.fi). Passiivitalon energian kulutus=0,5*Current standard
Onko mukanan sähkönkulutus??
Traditional=Current standard
Table(E_class,Fuel)(
12.734K,24.522K,24.522K,19.635K,7717,0,
12.734K,24.522K,24.522K,19.635K,7717,0,
12.734K,15.552K,15.552K,12.042K,4808,0,
6370,12.3K,12.3K,9820,3860,0
)
576,135,1
52,49
2,247,99,476,224
2,599,327,510,303,0,MIDM
2,762,558,416,303,0,MIDM
[E_class,Fuel]
[E_class,Fuel]
Energy consumption by fuel
Amount_of_buildings_*Need_of_energy_per_b
416,55,1
48,31
2,673,343,476,224
2,636,535,576,303,0,MIDM
[Apartment,Fuel]
[Apartment,1,Fuel,1,E_class,1]
Heating consumption per m^2
kW/ year
Qh= U*Afloor(Tin-Tout)dt/Afloor
var a:= Total_heating_insula;
var c:=Temperature_in-Temperature_out;
var t:=Time_period;
(a*c*t)
696,256,1
56,40
2,129,153,489,283
2,764,510,416,303,0,MIDM
Temperature out
Celsius
Annual mean temperature in Jyväskylä 1971-2000 . (http://www.fmi.fi/saa/tilastot_99.html#1)
2.9
272,120,1
60,24
2,107,204,416,303,0,MIDM
65535,52427,57888
Time period
year
1
280,48,1
48,24
65535,52427,57888
Area of Building
m^2
Floor surface area of building
160
88,152,1
48,24
Fraction of warm water
Talvella 40% jkäyttövedestä lämmitetään Kseällä 20-30% käyttövedestä lämmitetään
Table(Seasons)(
0.4,0.25)
512,304,1
48,24
2,0,-23,952,648
[Undefined,Seasons]
tap water use
Uniform( 130, 224 )
304,200,1
48,24
1,1,1,1,1,1,0,0,0,0
Number of inhabitants in a building / buildings
inhabitant
Number of inhabitants in a building / buildings
Table(Number_of_inhabitant)(
1,70K,5M)
800,192,0
48,40
1,1,1,1,1,1,0,0,0,0
65535,52427,57888
[Number_of_inhabitant,Undefined]
['item 1']
Number of inhabitants
Typical building types
['Appartment','City','Country']
576,40,1
48,20
1,1,1,1,1,1,0,0,0,0
2,348,66,476,224
['Appartment','City','Country']
Table(Age)(
1,3,4,5)
728,112,1
48,24
va1[age='lapset(0-17)']
736,56,1
48,24
Apartment type fraction in Finland
floor m2
Tähän tulisi laskea kunkin asuntotyypin osuus koko asuntokannasta
Table(Apartment)(
(Apartment_types[Apartment='Detached house'])/sum(Apartment_types),(Apartment_types[Apartment='Row house'])/sum(Apartment_types),(Apartment_types[Apartment='Block house'])/sum(Apartment_types))
224,127,1
48,31
2,388,739,822,228,0,MIDM
2,248,258,724,203,0,MIDM
Fuel
['District','Light oil','Pellet','Electricity','Geothermal','Other']
272,72,1
48,12
['District','Light oil','Pellet','Electricity','Geothermal','Other']
Floor area in Bioher
floor m^2
Current fuel types with own heating system in all building types of Finland is scaled here for amount of population (10000)
Population_in_bioher/sum(Population_in_finlan,sex)*Current_fuel_types_i
128,288,1
48,24
1,1,1,1,1,1,0,,1,
2,144,522,476,224
2,700,19,440,240,0,MIDM
[Apartment,Fuel]
[Variable Fuel_type_of_other]
[Index Apartment, Index Fuel]
[Sex1, 1, Fuel, 1, Apartment, 1 ]
Total floor area
sum(sum(Floor_area_in_bioher,Apartment),Fuel);
256,280,1
48,24
2,257,388,476,224
Total costs
352,336,1
48,24
[Alias Total_costs2, Alias Total_costs1]
District heating coverage
Table(Apartment,Self)(
bernoulli(0.5),bernoulli(0.7),
bernoulli(0.99),bernoulli(0.99),
0,0
)
['BAU','Extended coverage']
184,64,1
48,32
2,49,523,416,303,0,MIDM
2,363,24,409,625,0,MIDM
[Apartment,Self]
[Apartment,Self,Undefined,Undefined,Undefined,2]
[Self, 1, Run, 1, Apartment, 1 ]
Old parts
pahz
25. maata 2009 12:01
48,24
544,336,1
48,24
Cons type
['own','district']
92,36,1
44,12
Climate change
pahz
7. touta 2009 13:43
48,24
64,272,1
48,24
1,391,59,550,300,17
Total GHG emissions
64,56,1
48,24
[Variable Ghg_emissions_of_pla, Variable Ghg_emissions_of_hou]
GHG
['CO2','CH4','N2O','0']
56,96,1
32,12
2,102,90,476,224
['CO2','CH4','N2O','0']
Land use
392,56,1
48,24
Landuse types
['Forest','Peatland','Wetlands (Lakes)','Agriculture','Grassland','Buildupland']
392,104,1
40,20
Forest types
Ihalainen 2008. Valtakunnana metsien inventointi 10.
['Varputurvekanga<s','Puolukaturvekangas','Mustikkaturvekangas','Ruohoturevkangas']
448,144,1
36,20
['Varputurvekanga<s','Puolukaturvekangas','Mustikkaturvekangas','Ruohoturevkangas']
Emissions of GHG (forestsoil)
kg/ha/year
Kasvihuonekaasujen vuotuisia päästöjä metsäojitettujen soiden maahengityksestä. Negatiiviset arvot tarkoittavat yhdisteen nettosidontaa ilmakehästä maaperään. (Alm et al 2007, 47.)
Table(Ghg,Forest_types)(
8800,9750,12.5K,17.13K,
19,-2.7,2.1,-5.8,
0.1,1.3,3.7,5.6,
0,0,0,0
)
208,136,1
48,31
2,102,90,476,224
2,218,112,416,303,0,MIDM
[Forest_types,Ghg]
Emissions of GHG (trees)
Lehtonen et al 2004, 211-214
BEF (biomass expansion factor)oksiin, juuriin, neulasiin ja muuhun puun biomassaan sitoutuvan hiilen laskemiseen kehitetty biomassan kasvukerroin.
21-40 vuotiaille puille BEF=0.704 t/m3
216,217,1
48,31
2,102,90,476,224
https://oa.doria.fi/bitstream/handle/10024/38741/jamk_1212489500_3.pdf?sequence=1
376,274,-1
48,74
http://www.ipcc-nggip.iges.or.jp/
480,229,-1
48,29
Heating consumption
pahz
26. touta 2009 8:13
48,24
352,152,1
56,24
1,0,859,1041,786,17
Fuel type used in plant
['Heavy oil','Wood chips','Geothermal','Other']
864,616,1
48,32
2,102,90,476,224
['Heavy oil','Wood chips','Geothermal','Other']
Fraction of fuel type used in plant
Fraction of used fuel type used in Finnish small power plant
Table(Fuel_type_used_in_pl)(
0.5,0.3,0.1,0.1)
728,648,1
48,40
2,102,90,476,224
2,40,50,416,303,0,MIDM
65535,52427,57888
Fraction of own heating system
Here is calculated how many of buildings have own heating system
var a:= sum(Floor_area_in_bioher);
var b:= sum(a);
var c:= b+Total_floor_area_for;
b/c
888,416,1
48,31
2,709,282,476,224
65535,52427,57888
[Apartment,Fuel]
Total heating insulation fractions
W/m^2 K
Seinien, katon ja lattian lämmönläpäisykerroin lasketaan painottamalla lämpöhäviöt lattianeliötä kohden...
Ufloor=(Aroof*Uroof+Afloor*Ufloor+Awall*Uwall)/Afloor,
n=number of floors, x=number of doors.
With the assumption of
Afloor=Aroof and
Awall= n*Afloor
Awindow=(15/100)Awall (In Finnish requlations Awindor,max=50 % Awall)
Adoor=x*(2/100)Awall
=> Utotal,f=(Ufloor+(n*((100-15)/100))*Uwall+Uroof+(15/100)*Uwindow+x*(2/100)*Udoor))
var a:=Heating_insulation_1[Heat_perm_factors='Ufloor'];
var b:=Heating_insulation_1[Heat_perm_factors='Uwall'];
var c:=Heating_insulation_1[Heat_perm_factors='Uroof'];
var d:=Heating_insulation_1[Heat_perm_factors='Uwindow'];
var e:=Heating_insulation_1[Heat_perm_factors='Udoor'];
var n:=Number_of_floors;
var x:=Number_of_doors;
(a+n*((100-15)/100)*b+c+(15/100)*d+x*(2/100)*e)
240,128,1
48,40
2,284,83,475,461
2,83,109,416,303,0,MIDM
Heating insulation fractions
kW/m^2 K
Insulation fractions for floor, roof, and wall
Finlex(http://www.finlex.fi/fi/viranomaiset/normi/700001/)
Katso myös: Motiva(http://www.motiva.fi/fi/kuluttajat/pientalonlammitysjarjestelmat/vertailupalvelu/tyyppitalot.html): current standard and Low-energy (pientalo ja matala energia talo)
Table(Self,Heat_perm_factors)(
0.17,0.09,0.17,1.4,1.4
)
['item 1']
80,73,1
48,31
2,426,51,474,293
2,74,100,493,168,0,MIDM
2,722,312,416,303,0,MIDM
65535,52427,57888
[Self,Heat_perm_factors]
Temperature in
Celsius
Mean inside temperature (used in fmi calculations also)
17
80,344,1
52,24
65535,52427,57888
heat_perm_factors
kWm^2 K
Heating permeability factors for walls, roof, and floor
['Ufloor','Uroof','Uwall','Uwindow','Udoor']
920,264,1
48,24
2,0,-23,953,649
2,0,-23,953,649,0,MIDM
['Ufloor','Uroof','Uwall','Uwindow','Udoor']
Mean out temperature of months
Celsius
Mean monthly temperature in Jyväskylä between years 1900-2000
http://www.fmi.fi/saa/tilastot_4.html#5
Table(Months1)(
-7.8,-8.800000000000001,-3.8,1.9,8.699999999999999,14.1,16.5,14.4,9,3.9,-0.9,-5.7)
80,288,1
48,31
2,0,-23,952,648
2,172,343,416,303,0,MIDM
2,768,79,416,303,0,MIDM
65535,52427,57888
Months
['Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec']
928,232,1
44,16
['Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec']
Heating of tap water in buildings
kWh/m¨2 year
Thermal energy, which is used to heat tap water in a building.
(Density_of_water*Thermal_capacity_of_*Volume_of_needed_war*Water_temperature)/Total_floor_area
616,272,1
48,31
2,10,545,672,379
2,359,94,529,303,0,MIDM
[Apartment,Fuel]
[Index Seasons]
Thermal capacity of water
kWh/kg K
Riippuuko lämpötilasta? Kyllä, katso scannatuista pdf, tiedostoista tiedosto "veden ominaisuuksia". Laskennassa voidaan käyttää vakio arvoa 4,19 kJ/(kgK). Jos muunnetaan kWh = 4,19/3600 kWh/(kgK)
4.19/3600
760,312,1
48,31
2,0,-23,953,649
65535,52427,57888
Density of water
kg/m^3
Riippuu veden lämpötilasta!! Mutta vaihtelu näillä lämpötilaeroilla ei ole huomattava
1000
760,368,1
48,24
2,0,-23,953,649
65535,52427,57888
Water temperature
Celsius
differences between hot and warm water
var a:= 60;
var b:= 4;
a-b
760,416,1
48,24
2,0,-23,953,649
65535,52427,57888
Total heating consumption of buildings per m^2
kWh/m^2 year
Heating consumption of tap water and warming the building.
sum(Heating_consumption1)+Heating_of_tap_water
432,272,1
68,31
1,1,1,1,1,1,0,,1,
2,68,242,641,296
2,34,548,568,244,0,MIDM
[Apartment,Fuel]
[Index Seasons]
[Used_tap_water_in_a_,1,Seasons,1,Number_of_inhabitant,1]
Heating consumption per m^2 - monthly T variation
kWh/m^2 year
Monthly temperature variation is accounted in this calculation.
var a:= Temperature_in-Mean_out_temperature;
var b:= Total_heating_insula;
var c = Days_in_a_month;
sum(a*b/1000*c*24)
240,288,1
60,48
2,-32,175,953,649
2,421,103,416,303,0,MIDM
[Index Months1]
Seasons
['Winter','Summer']
936,208,1
40,12
['Winter','Summer']
Number of floors
Number of floors in a building
1
80,177,1
48,24
1,1,1,1,1,1,0,0,0,0
65535,52427,57888
Number of doors
Number of doors in a building
3
80,128,1
48,24
1,1,1,1,1,1,0,0,0,0
65535,52427,57888
Number of days in a season
day
Warm tap water fraction of used tap water in different seasons.
Table(Seasons)(
180,180)
760,72,1
48,31
1,1,1,1,1,1,0,0,0,0
2,40,50,316,143,0,MIDM
65535,52427,57888
[Seasons]
['item 1']
[Seasons,1]
Fraction of warm tap water of the used tap water
%
In Winter warm tap water use can be estimated to be 40 % of used tap water and in summer 20-30 % (25 %). Olli Seppänen, 2001, Rakennusten lämmitys.
Table(Seasons)(
0.4,0.25)
760,232,1
48,49
1,1,1,1,1,1,0,0,0,0
2,389,55,476,224
2,440,450,431,164,0,MIDM
65535,52427,57888
used tap water in a building / buildings
dm¨3/day/inhabitant
In Finland the guilde value for tap water use is 130 dm^3/day/inhabitant. In Helsinki metropolitan area tap water usega is 155 dm^3/day/inhabitant. In 1999 tap water use was max. 224 dm^3/day/inhabitant in Finland. Olli Seppänen, 2001, rakennusten lämmitys. Helsingin vesi: www.helsinginvesi.fi
Uniform( 0.130, 0.244 )
760,144,1
48,40
1,1,1,1,1,1,0,0,0,0
2,102,90,476,224
65535,52427,57888
[0.13,0.224]
m^2
Area of detached house. Should be calculated from Apartment types and population size somehow..
var household_size:= 4;
var floor_area:= 80;
var household_area:= Population_in_bioher/household_size*floor_area;
household_area
888,472,1
48,24
1,1,1,1,1,1,0,0,0,0
2,-5,539,476,224
2,451,60,416,303,0,MIDM
2,501,232,416,303,0,MIDM
65535,52427,57888
Volume of needed warm tap water
var a:= Population_in_bioher;
var b:= Fraction_of_warm_tap;
var c:= Number_of_days_in_a_;
var d:= Used_tap_water_in_a_;
sum(a*b*c*d)
616,176,1
48,40
2,51,286,476,224
2,560,286,416,303,0,MIDM
Total heating consumption by own heating in Bioher
kWh/year
eri polttoainetyyppien osuudet lämmöntuotannon kokonaiskulutuksesta.
10 000 asukkaan osalta
var a:= Floor_area_in_bioher*Total_heating_consum;
a:= if fuel = 'District' or fuel = 'Electricity' then 0 else a;
if fuel = 'Other' then a*Fuel_type_of_other[Fuel_type_of_other = 'Own'] else a
224,608,1
52,60
1,1,1,1,1,1,0,,1,
2,44,225,476,224
2,641,-9,566,277,0,MIDM
[Apartment,Fuel]
[Index Apartment]
Energy consumption of Bioher plant
kWh/year
polttolaitoksen lämmönkulutus painotettu Suomen polttolaitosten polttoaineiden painotusarvoilla (aargh)
var a:= Floor_area_in_bioher[fuel='District']+Floor_area_in_bioher[fuel='Other']*Fuel_type_of_other[Fuel_type_of_other='District'];
a*Total_heating_consum*Efficiency_by_fuel_t*Fraction_of_fuel_typ
592,600,1
52,48
1,1,1,1,1,1,0,,1,
2,47,452,476,224
2,473,125,416,303,0,MIDM
[Fuel_type_used_in_pl,Apartment]
[Fuel,1,Apartment,1,Fuel_type_used_in_pl,1]
Days in a month
day
Number of days in a month
Table(Months1)(
31,28,31,30,31,30,31,31,30,31,30,31)
80,232,1
52,24
65535,52427,57888
Efficiency by fuel types
Hyötysuhde tulee ottaa huomioon eri laitteiden lämmöntuotannossa
Table(Fuel_type_used_in_pl)(
0.9,0.7,0,0)
720,552,1
48,31
Energy efficiency
http://www.finlex.fi/data/normit/29520-D5-190607-suomi.pdf
Taulukko 3.1. Lämmöntuottolaitteiden vuosihyötysuhteita eri lämmöntuottotavoilla.
Lämmöntuottotapa Vuosihyötysuhde lämmitys,
Kaukolämpö 1,0
Sähkölämmitys 1,0
Öljy ja kaasukattilat, enintään 35 kW
tavanomainen kattila 0,87
matalalämpötilakattila0,90
kaasukäyttöinen kondenssikattila 0,93
Öljy ja kaasukattilat, yli 35 kW
tavanomainen kattila 0,89
matalalämpötilakattila 0,91
kaasukäyttöinen kondenssikattila 0,94
Kaksoispesäkattilat
öljylämmitys 0,80
puulämmitys 0,70
Puupolttoaineita käyttävät lämmöntuottolaitteet
Pellettikattilat 0,80
Hakekattilat 0,80
Pilkekattilat 0,70
Tulisijat 0,70
Lämpöpumput
Maalämpöpumppu 2,5
Ulkoilmalämpöpumppu (lämpö vesivaraajaan) 2,0
888,360,1
48,24
2,10,391,476,224
Air heating consumption
168,200,-1
144,184
2,475,587,476,224
Water heating
consumption
680,240,-1
132,208
Heating consumption of
house stock with own
heating system
216,592,-1
104,112
2,102,90,476,224
Heating consumption of plant
656,592,-1
132,112
Electricity heating in Bioher
kWh /year
var a:= Floor_area_in_bioher[fuel='Electricity']+Floor_area_in_bioher[fuel='Other']*Fuel_type_of_other[Fuel_type_of_other='Electricity'];
a*Total_heating_consum
416,601,1
48,31
1,1,1,1,1,1,0,,1,
2,-68,36,476,224
2,587,27,416,303,0,MIDM
[Apartment,Fuel]
[Objective Emission_in_bioher]
Heating consumption of electricity
424,592,-1
100,112
Fuel type of other
Table(Self)(
0.3,0.3,0.4)
['Own','Electricity','District']
224,424,1
48,24
2,284,432,476,224
[Objective Floor_area_in_bioher]
Emissions
pahz
18. tamta 2010 9:48
48,24
184,272,1
48,24
1,-29,-7,1127,739,17
EF for PM2.5 as mg/MJ
mg/MJ
Tissari etal 2007 PUPOn loppuraportti
Normal( 13, 600 )
120,80,1
48,31
2,102,90,476,224
65535,52427,57888
EF for GHG as mg/MJ
mg/MJ
Nämä pitäis löytää jostain!!!!
CO2 1.4-11 mg/MJ
CO 1400-5700 mg/MJ
CH4 15-630 Mg C/MJ
Table(Ghg)(
0,1,0,0)
616,80,1
48,24
2,102,90,476,224
2,240,356,416,303,0,MIDM
65535,52427,57888
GHG emissions of plant
mg/s
Ef_for_ghg_as_mg_kw3*Energy_consumption_1/Year_to_seconds
640,392,1
48,31
2,-24,77,476,224
2,456,466,416,303,0,MIDM
[Ghg,Fuel_type_used_in_pl]
[Variable Total_ghg_emissions]
[Apartment,2,Fuel,6,Fuel_type_used_in_pl,1,Ghg,1]
GHG emissions of houses by own heating system
mg/s
Ef_for_ghg_as_mg_kw2*Total_heating_consu1*Year_to_seconds
496,392,1
48,58
2,248,322,476,224
2,191,299,416,303,0,MIDM
[Ghg,Fuel]
[Variable Total_ghg_emissions]
[Apartment,1,Fuel,1,Ghg,1]
PM2.5 emissions of houses (mg/s) by own heating system
mg/s
emissions of PM2.5 of household with own heating system of 10 000 inh.
Ef_for_pm2_5_as_mg_k*Total_heating_consu1/Year_to_seconds
112,392,1
48,58
2,73,350,476,224
2,-46,444,430,215,0,MIDM
[Apartment,Fuel]
[Index Apartment, Index Fuel]
[Type_of_apartment, 2, Fuel_type_hh, 1, E_class, 1, Decision_of_fuel_ty1, 1 ]
PM2.5 emissions of plant (mg/s)
mg/s
Ef_for_pm2_5_as_mg_k*Energy_consumption_1/Year_to_seconds
248,392,1
48,40
2,567,39,476,224
2,717,15,416,303,0,MIDM
[Fuel_type_used_in_pl,Apartment]
Total PM2.5 emissions of apartments
mg/s
sum(Pm2_5_emissions_of_h,Apartment)
112,504,1
48,40
2,20,603,476,224
2,88,98,416,303,0,MIDM
Unit change
kWh
1kWh = 3.6 MJ or 1 MJ~0.277778kWh
0.277778
368,152,1
48,24
EF for PM2.5 as mg/kWh
mg/kWh
Emission factor of PM2.5 mg/MJ is changed here to mg/kWh
Ef_for_pm2_5_as_mg_m/Unit_change
120,152,1
48,31
2,741,71,476,224
EF for GHG as mg/kWh
mg/kWh
Emission factors of GHG with unit of mg/MJ is changed here to mg//kWh
Ef_for_ghg_as_mg_mj/Unit_change
616,152,1
48,24
2,105,203,476,224
2,48,438,416,303,0,MIDM
Year to seconds
s
Change to one year to seconds
365*24*60*60
368,392,1
48,24
Sum of GHG emis of own heating (mg/s)
mg/s
sum(Ghg_emissions_of_hou,Apartment)
496,520,1
48,49
2,89,295,476,224
2,796,581,416,303,0,MIDM
[Ghg,Fuel]
Sum of GHG emis of plant (mg/s)
mg/s
sum(Ghg_emissions_of_pla,Apartment)
640,504,1
48,40
2,647,452,518,233
2,201,522,416,303,0,MIDM
[Ghg,Fuel_type_used_in_pl]
[Index Fuel_type_used_in_pl]
Source
['Own heating','Suburb plant','Electricity']
456,664,1
48,12
['Own heating','Suburb plant','Electricity']
Emission in Bioher
mg/s
Koonti taulukko kaikista päästöistä
Table(Source,Pollutant)(
sum(Total_pm2_5_emission,Fuel),sum(Sum_of_ghg_emis_of_o, Fuel),
sum(Total_pm2_5_emissio1,Fuel_type_used_in_pl),sum(sum_of_ghg_emis_of_p,Fuel_type_used_in_pl),
0,Sum_of_ghg_emission_
)
456,624,1
48,24
1,1,1,1,1,1,0,,1,
2,102,90,476,224
2,14,693,688,150,0,MIDM
2,40,50,416,303,0,MIDM
[Pollutant,Source]
[Pollutant,Source]
[Objective Electricity_heating_]
[Objective Exposure_in_bioher]
[Ghg,1,Source,1,Pollutant,1]
Pollutant
['PM2.5','GHG']
456,688,1
48,12
['PM2.5','GHG']
Total PM2.5 emissions of plant
mg/s
sum(Pm2_5_emissions_of_p,Apartment)
248,504,1
48,31
2,-51,456,476,224
[Index Fuel_type_used_in_pl]
EF for GHG as mg/kWh
mg CO2/kWh
Ef_for_ghg_in_buildi/1000
840,224,1
48,31
2,16,664,476,224
2,-8,623,416,303,0,MIDM
GHG emissions of electricity in Bioher
mg CO2/s
Ef_for_ghg_as_mg_kw4*Electricity_heating_/Year_to_seconds
784,392,1
48,40
2,135,641,476,224
2,570,227,416,303,0,MIDM
[Ghg,Apartment]
EF for GHG in buildings as kg/MWh
kgCO2/MWh
kasvihuonekaasupäästökertoimiin (kgCO2/MWh) laskettuna rakennuksen bruttotasolla (rakennukseen hankittu energia
[Heljo & Laine 2005. Sähkölämmitys ja lämpöpumput sähkönkäyttäjinä ja päästöjen aiheuttajina Suomessa. Tampereeln teknillinen yliopisto. Rakentamistalouden latios. Raportti 2005:2.]
Table(Ef_indexes)(
18,267,279,231,224,226,204,714,112,459,867,400)
840,128,1
48,31
2,2,63,476,224
2,30,15,416,303,0,MIDM
65535,52427,57888
EF_indexes
['Wood','Light fuel oil','Heavy fuel oil','District heat, separate prod. 20-500; average ','District heat, combined production','District heat, average (73% combined prod.)','Electricity on average ','Marginal electricity consumption ','Basic electricity consumption ','Intermediate electricity consumption','Peak electricity consumption ','Heating energy of electrical heating (example value) ']
1048,80,1
48,16
2,403,626,476,222
['Wood','Light fuel oil','Heavy fuel oil','District heat, separate prod. 20-500; average ','District heat, combined production','District heat, average (73% combined prod.)','Electricity on average ','Marginal electricity consumption ','Basic electricity consumption ','Intermediate electricity consumption','Peak electricity consumption ','Heating energy of electrical heating (example value) ']
Electricity
['CHP','Separate','Total electricity']
1048,112,1
48,16
2,278,90,476,224
Sum of GHG emission of electricity (mg/s)
mg CO2/ s
sum(Ghg_emissions_of_ele,Apartment)
784,520,1
48,49
GHG emissions district heating
mg/s
var a:= Ef_for_ghg_as_mg_kw1[@EF_indexes=6];
a*Energy_consumption_1/Year_to_seconds
904,392,1
48,40
2,742,636,476,224
[Apartment,Fuel_type_used_in_pl]
Sum of GHG emissions of district heat (mg/s)
sum(sum(Ghg_emissions_distri,Apartment),Fuel_type_used_in_pl)
904,520,1
48,49
2,366,343,416,303,0,MIDM
EF should be found and coded properly!!
1064,286,-1
48,38
EF for GHG as mg/kWh own heating
Table(Fuel,Ghg)(
Ef_for_ghg_as_mg_kw1[@EF_indexes=6],Ef_for_ghg_as_mg_kwh[@GHG=2],0,0,
Ef_for_ghg_as_mg_kw1[@EF_indexes=2],Ef_for_ghg_as_mg_kwh[@GHG=2],0,0,
Ef_for_ghg_as_mg_kw1[@EF_indexes=1],Ef_for_ghg_as_mg_kwh[@GHG=2],0,0,
Ef_for_ghg_as_mg_kw1[@EF_indexes=7],Ef_for_ghg_as_mg_kwh[@GHG=2],0,0,
1,Ef_for_ghg_as_mg_kwh[@GHG=2],0,0,
1,Ef_for_ghg_as_mg_kwh[@GHG=2],0,0
)
552,224,1
48,31
2,-41,152,476,224
2,440,450,693,303,0,MIDM
[Ghg,Fuel]
[Ghg,Fuel]
[Ef_indexes,3,Fuel,1,Ghg,1]
EF for GHG as mg/kWh plant
Table(Ghg,Fuel_type_used_in_pl)(
Ef_for_ghg_as_mg_kw1[@EF_indexes=3],Ef_for_ghg_as_mg_kw1[@EF_indexes=1],1,1,
Ef_for_ghg_as_mg_kwh[@GHG=2],Ef_for_ghg_as_mg_kwh[@GHG=2],Ef_for_ghg_as_mg_kwh[@GHG=2],Ef_for_ghg_as_mg_kwh[@GHG=2],
0,0,0,0,
0,0,0,0
)
672,224,1
48,31
2,472,482,573,303,0,MIDM
[Ghg,Fuel_type_used_in_pl]
[Ghg,Fuel_type_used_in_pl]
EF for GHG as mg/kWh electricity
Table(Ghg)(
Ef_for_ghg_as_mg_kw1[@EF_indexes=7],0,0,0)
784,304,1
48,31
18.1.2010 PA
552,56,-1
56,24