Unit heat consumption of buildings in Finland: Difference between revisions

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Question

What is the average unit heat consumption (energy purchase, kWh/m2/year) of different types of residential buildings in Finland?

Characterisation of buildings:

Building type (detached house, row house, apartment building)
Construction decade
Primary heat source (light oil, pellet, district heat, electricity, geothermal)

Answer

u.factor(-)
Obs	Surface	Construction.year	Unit	Result
1	Outside wall	<1960	W/(m2K)	0.48
2	Outside wall	1960	W/(m2K)	0.40
3	Outside wall	1970	W/(m2K)	0.30
4	Outside wall	1980	W/(m2K)	0.28
5	Outside wall	1990	W/(m2K)	0.28
6	Outside wall	2000	W/(m2K)	0.25
7	Outside wall	2010	W/(m2K)	0.17
8	Roof	<1960	W/(m2K)	0.30
9	Roof	1960	W/(m2K)	0.28
10	Roof	1970	W/(m2K)	0.25
11	Roof	1980	W/(m2K)	0.25
12	Roof	1990	W/(m2K)	0.16
13	Roof	2000	W/(m2K)	0.16
14	Roof	2010	W/(m2K)	0.09
15	Ground floor	<1960	W/(m2K)	0.30
16	Ground floor	1960	W/(m2K)	0.30
17	Ground floor	1970	W/(m2K)	0.30
18	Ground floor	1980	W/(m2K)	0.30
19	Ground floor	1990	W/(m2K)	0.30
20	Ground floor	2000	W/(m2K)	0.25
21	Ground floor	2010	W/(m2K)	0.16
22	Window	<1960	W/(m2K)	2.1
23	Window	1960	W/(m2K)	1.9
24	Window	1970	W/(m2K)	1.6
25	Window	1980	W/(m2K)	1.4
26	Window	1990	W/(m2K)	1.4
27	Window	2000	W/(m2K)	1.4
28	Window	2010	W/(m2K)	1
29	Outer door	<1960	W/(m2K)	1.4
30	Outer door	1960	W/(m2K)	1.4
31	Outer door	1970	W/(m2K)	1.4
32	Outer door	1980	W/(m2K)	1.4
33	Outer door	1990	W/(m2K)	1.4
34	Outer door	2000	W/(m2K)	1.4
35	Outer door	2010	W/(m2K)	1

surface.area(-)
Obs	Surface	Construction.year	Unit	Result
1	Outside wall	<1960	m2	92
2	Outside wall	1960	m2	98
3	Outside wall	1970	m2	105
4	Outside wall	1980	m2	109
5	Outside wall	1990	m2	112
6	Outside wall	2000	m2	114
7	Outside wall	2010	m2	114
8	Roof	<1960	m2	109
9	Roof	1960	m2	124
10	Roof	1970	m2	144
11	Roof	1980	m2	158
12	Roof	1990	m2	166
13	Roof	2000	m2	176
14	Roof	2010	m2	176
15	Ground floor	<1960	m2	109
16	Ground floor	1960	m2	124
17	Ground floor	1970	m2	144
18	Ground floor	1980	m2	158
19	Ground floor	1990	m2	166
20	Ground floor	2000	m2	176
21	Ground floor	2010	m2	176
22	Window	<1960	m2	10.9
23	Window	1960	m2	12.4
24	Window	1970	m2	14.4
25	Window	1980	m2	15.8
26	Window	1990	m2	16.6
27	Window	2000	m2	17.6
28	Window	2010	m2	17.6
29	Outer door	<1960	m2	3.4
30	Outer door	1960	m2	3.4
31	Outer door	1970	m2	3.4
32	Outer door	1980	m2	3.4
33	Outer door	1990	m2	3.4
34	Outer door	2000	m2	3.4
35	Outer door	2010	m2	3.4

ventilation.rate(-)
Obs	Construction.year	Unit	Result
1	<1960	dm3/s/m2	0.25
2	1960	dm3/s/m2	0.25
3	1970	dm3/s/m2	0.25
4	1980	dm3/s/m2	0.35
5	1990	dm3/s/m2	0.35
6	2000	dm3/s/m2	0.35
7	2010	dm3/s/m2	0.35

ventilation.heat.recovery(-)
Obs	Construction.year	Result
1	<1960	0
2	1960	0
3	1970	0
4	1980	0
5	1990	0
6	2000	0
7	2010	0.45

air.leak.factor(-)
Obs	Construction.year	Unit	Result
1	<1960	/h	0.32
2	1960	/h	0.32
3	1970	/h	0.28
4	1980	/h	0.24
5	1990	/h	0.16
6	2000	/h	0.16
7	2010	/h	0.08

building.characteristics(-)
Obs	Parameter	Unit	Result
1	Number of floors	m	1
2	Room height	m	2.5
3	Indoor air temperature	C	21
4	Inhabitants	no of persons	2.4
5	Hot water use	l/person/d	45
6	Water heating system heat loss	kWh/m2/month	1.5

total.floor.area(-)
Obs	Construction.year	Unit	Result
1	<1960	m2	109
2	1960	m2	124
3	1970	m2	144
4	1980	m2	158
5	1990	m2	166
6	2000	m2	176
7	2010	m2	176

outdoor.temperature(-)
Obs	Location	Month	Unit	Result
1	South	1	C	-6.2
2	South	2	C	-6.7
3	South	3	C	-2.6
4	South	4	C	2.9
5	South	5	C	9.9
6	South	6	C	14.6
7	South	7	C	16.9
8	South	8	C	15
9	South	9	C	9.8
10	South	10	C	4.8
11	South	11	C	-0.3
12	South	12	C	-4
13	West	1	C	-7.4
14	West	2	C	-7.7
15	West	3	C	-3.3
16	West	4	C	2.2
17	West	5	C	9
18	West	6	C	14.1
19	West	7	C	16
20	West	8	C	14
21	West	9	C	8.8
22	West	10	C	3.9
23	West	11	C	-1.5
24	West	12	C	-5.4
25	East	1	C	-10.2
26	East	2	C	-9.9
27	East	3	C	-4.6
28	East	4	C	1
29	East	5	C	8.1
30	East	6	C	13.6
31	East	7	C	15.9
32	East	8	C	13.3
33	East	9	C	8
34	East	10	C	2.7
35	East	11	C	-3.2
36	East	12	C	-7.8
37	North	1	C	-11.7
38	North	2	C	-11
39	North	3	C	-6.1
40	North	4	C	-1
41	North	5	C	5.8
42	North	6	C	12.2
43	North	7	C	14.9
44	North	8	C	12.1
45	North	9	C	6.6
46	North	10	C	0.2
47	North	11	C	-6.1
48	North	12	C	-10

residential.building.location(-)
Obs	Location	Construction.year	Unit	Result
1	South	<1960	fraction of all	0.42
2	South	1960	fraction of all)	0.39
3	South	1970	fraction of all)	0.37
4	South	1980	fraction of all	0.38
5	South	1990	fraction of all	0.43
6	South	2000	fraction of all	0.47
7	South	2010	fraction of all	0.42
8	West	<1960	fraction of all	0.32
9	West	1960	fraction of all)	0.3
10	West	1970	fraction of all)	0.31
11	West	1980	fraction of all	0.28
12	West	1990	fraction of all	0.27
13	West	2000	fraction of all	0.27
14	West	2010	fraction of all	0.29
15	East	<1960	fraction of all	0.15
16	East	1960	fraction of all)	0.15
17	East	1970	fraction of all)	0.15
18	East	1980	fraction of all	0.16
19	East	1990	fraction of all	0.14
20	East	2000	fraction of all	0.11
21	East	2010	fraction of all	0.13
22	North	<1960	fraction of all	0.1
23	North	1960	fraction of all)	0.16
24	North	1970	fraction of all)	0.17
25	North	1980	fraction of all	0.18
26	North	1990	fraction of all	0.16
27	North	2000	fraction of all	0.15
28	North	2010	fraction of all	0.16

period.length(-)
Obs	Month	Unit	Result
1	1	h	744
2	2	h	672
3	3	h	744
4	4	h	720
5	5	h	744
6	6	h	720
7	7	h	744
8	8	h	744
9	9	h	720
10	10	h	744
11	11	h	720
12	12	h	744

soil.temperature.difference(-)
Obs	Month	Unit	Result
1	1	C	0
2	2	C	-1
3	3	C	-2
4	4	C	-3
5	5	C	-2
6	6	C	-2
7	7	C	0
8	8	C	1
9	9	C	2
10	10	C	3
11	11	C	3
12	12	C	2

heating.season(-)
Obs	Month	Result	Kuvaus
1	1	1	1=yes, 0=no
2	2	1	1=yes, 0=no
3	3	1	1=yes, 0=no
4	4	1	1=yes, 0=no
5	5	1	1=yes, 0=no
6	6	0	1=yes, 0=no
7	7	0	1=yes, 0=no
8	8	0	1=yes, 0=no
9	9	1	1=yes, 0=no
10	10	1	1=yes, 0=no
11	11	1	1=yes, 0=no
12	12	1	1=yes, 0=no

sun.radiation.vertical.surface(-)
Obs	Month	Direction	Unit	Result	Kuvaus
1	1	North	kWh/m2	6.0	Default value for Jyväskylä
2	2	North	kWh/m2	16.4	Default value for Jyväskylä
3	3	North	kWh/m2	38.7	Default value for Jyväskylä
4	4	North	kWh/m2	46.1	Default value for Jyväskylä
5	5	North	kWh/m2	68.9	Default value for Jyväskylä
6	6	North	kWh/m2	72.7	Default value for Jyväskylä
7	7	North	kWh/m2	65.1	Default value for Jyväskylä
8	8	North	kWh/m2	48.0	Default value for Jyväskylä
9	9	North	kWh/m2	30.6	Default value for Jyväskylä
10	10	North	kWh/m2	15.3	Default value for Jyväskylä
11	11	North	kWh/m2	6.9	Default value for Jyväskylä
12	12	North	kWh/m2	3.3	Default value for Jyväskylä
13	1	North-East	kWh/m2	4.5	Default value for Jyväskylä
14	2	North-East	kWh/m2	12.8	Default value for Jyväskylä
15	3	North-East	kWh/m2	35.2	Default value for Jyväskylä
16	4	North-East	kWh/m2	54.5	Default value for Jyväskylä
17	5	North-East	kWh/m2	91.3	Default value for Jyväskylä
18	6	North-East	kWh/m2	87.1	Default value for Jyväskylä
19	7	North-East	kWh/m2	81.4	Default value for Jyväskylä
20	8	North-East	kWh/m2	57.0	Default value for Jyväskylä
21	9	North-East	kWh/m2	34.2	Default value for Jyväskylä
22	10	North-East	kWh/m2	13.6	Default value for Jyväskylä
23	11	North-East	kWh/m2	5.3	Default value for Jyväskylä
24	12	North-East	kWh/m2	2.5	Default value for Jyväskylä
25	1	East	kWh/m2	3.1	Default value for Jyväskylä
26	2	East	kWh/m2	15.6	Default value for Jyväskylä
27	3	East	kWh/m2	37.9	Default value for Jyväskylä
28	4	East	kWh/m2	73.5	Default value for Jyväskylä
29	5	East	kWh/m2	122.6	Default value for Jyväskylä
30	6	East	kWh/m2	105.4	Default value for Jyväskylä
31	7	East	kWh/m2	106.4	Default value for Jyväskylä
32	8	East	kWh/m2	74.5	Default value for Jyväskylä
33	9	East	kWh/m2	51.8	Default value for Jyväskylä
34	10	East	kWh/m2	18.5	Default value for Jyväskylä
35	11	East	kWh/m2	4.9	Default value for Jyväskylä
36	12	East	kWh/m2	1.6	Default value for Jyväskylä
37	1	South-East	kWh/m2	6.5	Default value for Jyväskylä
38	2	South-East	kWh/m2	34.4	Default value for Jyväskylä
39	3	South-East	kWh/m2	55.1	Default value for Jyväskylä
40	4	South-East	kWh/m2	93.6	Default value for Jyväskylä
41	5	South-East	kWh/m2	132.4	Default value for Jyväskylä
42	6	South-East	kWh/m2	108.0	Default value for Jyväskylä
43	7	South-East	kWh/m2	115.0	Default value for Jyväskylä
44	8	South-East	kWh/m2	91.7	Default value for Jyväskylä
45	9	South-East	kWh/m2	77.7	Default value for Jyväskylä
46	10	South-East	kWh/m2	33.1	Default value for Jyväskylä
47	11	South-East	kWh/m2	10.7	Default value for Jyväskylä
48	12	South-East	kWh/m2	3.3	Default value for Jyväskylä
49	1	South	kWh/m2	9.0	Default value for Jyväskylä
50	2	South	kWh/m2	46.3	Default value for Jyväskylä
51	3	South	kWh/m2	69.8	Default value for Jyväskylä
52	4	South	kWh/m2	99.1	Default value for Jyväskylä
53	5	South	kWh/m2	123.4	Default value for Jyväskylä
54	6	South	kWh/m2	103.3	Default value for Jyväskylä
55	7	South	kWh/m2	109.4	Default value for Jyväskylä
56	8	South	kWh/m2	98.3	Default value for Jyväskylä
57	9	South	kWh/m2	91.6	Default value for Jyväskylä
58	10	South	kWh/m2	42.5	Default value for Jyväskylä
59	11	South	kWh/m2	14.6	Default value for Jyväskylä
60	12	South	kWh/m2	4.4	Default value for Jyväskylä
61	1	South-West	kWh/m2	6.8	Default value for Jyväskylä
62	2	South-West	kWh/m2	33.5	Default value for Jyväskylä
63	3	South-West	kWh/m2	60.2	Default value for Jyväskylä
64	4	South-West	kWh/m2	89.5	Default value for Jyväskylä
65	5	South-West	kWh/m2	124.5	Default value for Jyväskylä
66	6	South-West	kWh/m2	107.5	Default value for Jyväskylä
67	7	South-West	kWh/m2	111.6	Default value for Jyväskylä
68	8	South-West	kWh/m2	94.5	Default value for Jyväskylä
69	9	South-West	kWh/m2	76.1	Default value for Jyväskylä
70	10	South-West	kWh/m2	32.1	Default value for Jyväskylä
71	11	South-West	kWh/m2	10.7	Default value for Jyväskylä
72	12	South-West	kWh/m2	3.2	Default value for Jyväskylä
73	1	West	kWh/m2	3.3	Default value for Jyväskylä
74	2	West	kWh/m2	15.1	Default value for Jyväskylä
75	3	West	kWh/m2	42.1	Default value for Jyväskylä
76	4	West	kWh/m2	70.0	Default value for Jyväskylä
77	5	West	kWh/m2	115.0	Default value for Jyväskylä
78	6	West	kWh/m2	103.6	Default value for Jyväskylä
79	7	West	kWh/m2	104.5	Default value for Jyväskylä
80	8	West	kWh/m2	77.3	Default value for Jyväskylä
81	9	West	kWh/m2	50.1	Default value for Jyväskylä
82	10	West	kWh/m2	17.6	Default value for Jyväskylä
83	11	West	kWh/m2	4.9	Default value for Jyväskylä
84	12	West	kWh/m2	1.6	Default value for Jyväskylä
85	1	North-West	kWh/m2	4.5	Default value for Jyväskylä
86	2	North-West	kWh/m2	12.8	Default value for Jyväskylä
87	3	North-West	kWh/m2	36.1	Default value for Jyväskylä
88	4	North-West	kWh/m2	53.6	Default value for Jyväskylä
89	5	North-West	kWh/m2	88.5	Default value for Jyväskylä
90	6	North-West	kWh/m2	85.0	Default value for Jyväskylä
91	7	North-West	kWh/m2	82.6	Default value for Jyväskylä
92	8	North-West	kWh/m2	58.1	Default value for Jyväskylä
93	9	North-West	kWh/m2	33.4	Default value for Jyväskylä
94	10	North-West	kWh/m2	13.3	Default value for Jyväskylä
95	11	North-West	kWh/m2	5.3	Default value for Jyväskylä
96	12	North-West	kWh/m2	2.5	Default value for Jyväskylä

window.direction(-)
Obs	Direction	Unit	Result
1	North	fraction	0.125
2	North-East	fraction	0.125
3	East	fraction	0.125
4	South-East	fraction	0.125
5	South	fraction	0.125
6	South-West	fraction	0.125
7	West	fraction	0.125
8	North-East	fraction	0.125

sun.heat.absorption.parameters(-)
Obs	Parameter	Unit	Result	Kuvaus
1	Permeability factor	-	0.7	assumption: triple-glazed window ( 1 glass=0.85, double-glazed=0.75)
2	Frame factor	-	0.75	window glass surface area / window glass + frame surface area
3	Curtain factor	-	0.75	assumption: curtains (no curtains=1, white window blinds between glasses=0.3, white window blinds inside in front of window=0.6)
4	Shading factor	-	0.9	assumption: some shading (no shading=1)

internal.heat.source.parameters(-)
Obs	Parameter	Unit	Result	Kuvaus
1	Electrical equipment heat	kWh/m2/a	32	heat gain from lights and other electrical equipment
2	Person heat radiance	W/person	85	Heat radiance power of one inhabitant
3	Time inside	-	0.6	Fraction of time an inhabitant spends inside the house
4	Internal heat capacity	Wh/(m2 K)	90	Internal heat capacity of the building, depends on building materials (light weight: 40, medium weight: 70-110, heavy weight: 200)

heat.production.efficiency(-)
Obs	Heating system	Result
1	Light oil boiler	0.81
2	Wood pellet boiler	0.75
3	District heating	0.94
4	Electric, direct	1
5	Ground source heat pump	2.5

Calculations

+ Show code - Hide code


library(OpasnetUtils)
library(ggplot2)

#Data tables are converted into ovariables and stored

u.factor <- Ovariable(name= "u.factor", ddata = "Op_en5397", subset = "u.factor", getddata = FALSE)

surface.area <- Ovariable(name= "surface.area", ddata = "Op_en5397", subset = "surface.area", getddata = FALSE)

ventilation.rate <- Ovariable(name= "ventilation.rate", ddata = "Op_en5397", subset = "ventilation.rate", getddata = FALSE)

ventilation.heat.recovery <- Ovariable(name= "ventilation.heat.recovery", ddata = "Op_en5397", subset = "ventilation.heat.recovery", getddata = FALSE)

air.leak.factor <- Ovariable(name= "air.leak.factor", ddata = "Op_en5397", subset = "air.leak.factor", getddata = FALSE)

building.characteristics <- Ovariable(name= "building.characteristics", ddata = "Op_en5397", subset = "building.characteristics", getddata = FALSE)

total.floor.area <- Ovariable(name= "total.floor.area", ddata = "Op_en5397", subset = "total.floor.area", getddata = FALSE)

outdoor.temperature <- Ovariable(name= "outdoor.temperature", ddata = "Op_en5397", subset = "outdoor.temperature", getddata = FALSE)

residential.building.location <- Ovariable(name= "residential.building.location", ddata = "Op_en5397", subset = "residential.building.location", getddata = FALSE)

period.length <- Ovariable(name= "period.length", ddata = "Op_en5397", subset = "period.length", getddata = FALSE)

soil.temperature.difference <- Ovariable(name= "soil.temperature.difference", ddata = "Op_en5397", subset = "soil.temperature.difference", getddata = FALSE)

heating.season <- Ovariable(name= "heating.season", ddata = "Op_en5397", subset = "heating.season", getddata = FALSE)

sun.radiation.vertical.surface <- Ovariable(name= "sun.radiation.vertical.surface", ddata = "Op_en5397", subset = "sun.radiation.vertical.surface", getddata = FALSE)

window.direction <- Ovariable(name= "window.direction", ddata = "Op_en5397", subset = "window.direction", getddata = FALSE)

sun.heat.absorption.parameters <- Ovariable(name= "sun.heat.absorption.parameters", ddata = "Op_en5397", subset = "sun.heat.absorption.parameters", getddata = FALSE)

heat.production.efficiency <- Ovariable(name= "heat.production.efficiency", ddata = "Op_en5397", subset = "heat.production.efficiency", getddata = FALSE)



objects.store(u.factor, surface.area, ventilation.rate, ventilation.heat.recovery, air.leak.factor, building.characteristics, total.floor.area, outdoor.temperature, residential.building.location, period.length, soil.temperature.difference, heating.season, sun.radiation.vertical.surface, window.direction, sun.heat.absorption.parameters, heat.production.efficiency)

cat("Ovariablet tallennettu.\n")

#oprint(u.factor)
#oprint(surface.area)
#oprint(air.exchange)
#oprint(building.characteristics)
#oprint(outdoor.temperature)
#oprint(residential.building.location)
#oprint(ventilation.rate)


#Average monthly outdoor temperature for a residential building in Finland. Calculated based on monthly average temperatures and location of residential buildings in different parts of Finland

average.outdoor.temperature.month <- Ovariable(
	
	name="average.outdoor.temperature.month",
	dependencies = data.frame(
		Name=c("outdoor.temperature", "residential.building.location"),
		Ident= c("Op_en5397")
	),
	formula = function(dependencies, ...) {
		
		out <- outdoor.temperature * residential.building.location

		out <- out@output[ , c("Location", "Month", "Construction.year", "Result")]
		out <- aggregate(out[,colnames(out)=='Result'],by=list(out$Month, out$Construction.year),FUN="sum", na.rm="TRUE")
		names(out) <- c("Month","Construction.year", "Result")
		
		return(out)
	}
)


#oprint(average.outdoor.temperature.month)


#Average annual outdoor temperature for a residential building in Finland. Calculated based on monthly average temperatures.

average.outdoor.temperature.year <- Ovariable(
	
	name="average.outdoor.temperature.year",
	dependencies = data.frame(
		Name=c("outdoor.temperature", "residential.building.location"),
		Ident= c("Op_en5397")
	),
	formula = function(dependencies, ...) {

		#cat("Average outdoor temperature for a residential building in Finland. Calculated based on monthly average temperatures and location of residential buildings in different parts of Finland \n")
		
		out <- outdoor.temperature * residential.building.location

		#out@output <- out@output[ , c("Location", "Month", "Construction.year", "Result")]
		#out@output <- aggregate(out@output[,4],by=list(out@output$Month, out@output$Construction.year),FUN="sum", na.rm="TRUE")
		#names(out@output) <- c("Month","Construction.year", "average.outdoor.temperatureResult")


		out <- out@output[ , c("Location", "Month", "Construction.year", "Result")]
		out <- aggregate(out[,colnames(out)=='Result'],by=list(out$Month, out$Construction.year),FUN="sum", na.rm="TRUE")
		names(out) <- c("Month","Construction.year", "Result")
		out <- aggregate(out[,colnames(out)=='Result'],by=list(out$Construction.year),FUN="mean",na.rm="TRUE")
		names(out) <- c("Construction.year", "Result")

		return(out)
	}
)


#oprint(average.outdoor.temperature.year)


cat("Total heat loss via heat conduction through outside walls, roof, ground floor, windows, and doors, kWh/month.\n")

conduction.heat.loss <- Ovariable(
	
	name="conduction.heat.loss",
	dependencies = data.frame(
		Name=c("u.factor", "surface.area", "average.outdoor.temperature.month", "average.outdoor.temperature.year", "period.length", "soil.temperature.difference"),
		Ident= c("Op_en5397")
	),
	formula = function(dependencies, ...) {

		building.characteristics <- opbase.data("Op_en5397.building_characteristics")

		indoor.temperature <- Ovariable(name = "indoor.temperature")
		indoor.temperature@output <- tidy(subset(building.characteristics, Parameter=="Indoor air temperature"), direction="long", objname="indoor.temperature")
		indoor.temperature@output$Parameter <- NULL

		#Conduction heat loss for outside walls, roof, windows, and outer doors:

		temp1 <- u.factor * surface.area * (indoor.temperature - average.outdoor.temperature.month) * period.length / 1000 

		temp1 <- subset(temp1@output, Surface=="Outside wall" | Surface=="Roof" | Surface=="Window" | Surface=="Outer door")
		temp1 <- aggregate(temp1[,colnames(temp1)=='Result'],by=list(temp1$Construction.year, temp1$Surface, temp1$Month),FUN="sum",na.rm="TRUE")
		names(temp1) <- c("Construction.year", "Surface", "Month", "Result") 

		#Conduction heat loss for ground floor:		

		temp2 <- u.factor * surface.area * (indoor.temperature - (average.outdoor.temperature.year + 5 + soil.temperature.difference)) * period.length / 1000

		temp2 <- subset(temp2@output, Surface=="Ground floor")
		temp2 <- aggregate(temp2[,colnames(temp2)=='Result'],by=list(temp2$Construction.year, temp2$Surface, temp2$Month),FUN="sum",na.rm="TRUE")
		names(temp2) <- c("Construction.year", "Surface", "Month", "Result") 

		#Combination of all heat conduction routes into a single value (kWh/month):

		out <- rbind(temp1, temp2)
		out <- aggregate(out[,colnames(temp2)=='Result'],by=list(out$Construction.year, out$Month),FUN="sum",na.rm="TRUE")
		names(out) <- c("Construction.year", "Month", "Result") 

		return(out)
	}
)



oprint(conduction.heat.loss)


cat("Total heat loss via active air ventilation, kWh/month. \n")

ventilation.heat.loss <- Ovariable(
	
	name="ventilation.heat.loss",
	dependencies = data.frame(
		Name=c("ventilation.rate", "ventilation.heat.recovery", "total.floor.area", "average.outdoor.temperature.month", "period.length"),
		Ident= c("Op_en5397")
	),
	formula = function(dependencies, ...) {

		building.characteristics <- opbase.data("Op_en5397.building_characteristics")

		indoor.temperature <- Ovariable(name = "indoor.temperature")
		indoor.temperature@output <- tidy(subset(building.characteristics, Parameter=="Indoor air temperature"), direction="long", objname="indoor.temperature")
		indoor.temperature@output$Parameter <- NULL

		#Building air removal rate (m3/s):		

		temp1 <- ventilation.rate * total.floor.area / 1000

		#ventilation unit heat loss (W/K):

		temp2 <- 1.2 * 1000 * temp1 * (1 - ventilation.heat.recovery)

		#total heat loss (kWh/month):

		out <- temp2 * (indoor.temperature - average.outdoor.temperature.month) * period.length / 1000
		vars <- names(out@output) %in% c("Month", "Construction.year", "Result", "Source")
		out <- out@output[vars]
		
		return(out)
	}
)

oprint(ventilation.heat.loss)



cat("Total heat loss via involuntary air leak, kWh/month.\n")

air.leak.heat.loss <- Ovariable(
	
	name="air.leak.heat.loss",
	dependencies = data.frame(
		Name=c("air.leak.factor", "total.floor.area", "building.characteristics", "average.outdoor.temperature.month", "period.length"),
		Ident= c("Op_en5397")
	),
	formula = function(dependencies, ...) {

		building.characteristics@output <- subset(building.characteristics@output, Parameter=="Room height")
		room.height <- building.characteristics

		building.characteristics <- opbase.data("Op_en5397.building_characteristics")

		indoor.temperature <- Ovariable(name = "indoor.temperature")
		indoor.temperature@output <- tidy(subset(building.characteristics, Parameter=="Indoor air temperature"), direction="long", objname="indoor.temperature")
		indoor.temperature@output$Parameter <- NULL

		#Building air leak rate (m3/s):		

		temp1 <- air.leak.factor * total.floor.area * room.height / 3600

		#air leak unit heat loss (W/K):

		temp2 <- 1.2 * 1000 * temp1

		#total heat loss (kWh/month):

		out <- temp2 * (indoor.temperature - average.outdoor.temperature.month) * period.length / 1000
		vars <- names(out@output) %in% c("Month", "Construction.year", "Result", "Source")
		out <- out@output[vars]
		
		return(out)
	}
)

oprint(EvalOutput(air.leak.heat.loss))



cat("Total heat loss due to household water heating, kWh/month.\n")

household.water.heating <- Ovariable(
	
	name="household.water.heating",
	dependencies = data.frame(
		Name=c("period.length"),
		Ident= c("Op_en5397")
	),
	formula = function(dependencies, ...) {

		building.characteristics <- opbase.data("Op_en5397.building_characteristics")

		inhabitants <- Ovariable(name = "inhabitants")
		inhabitants@output <- tidy(subset(building.characteristics, Parameter=="Inhabitants"), direction="long", objname="inhabitants")
		inhabitants@output$Parameter <- NULL
		
		hot.water.use <- Ovariable(name = "hot.water.use")
		hot.water.use@output <- tidy(subset(building.characteristics, Parameter=="Hot water use"), direction="long", objname="hot.water.use")
		hot.water.use@output$Parameter <- NULL
		
		#Hot water use (m3/a/building):
	
		temp1 <- hot.water.use * period.length / 24 * inhabitants / 1000
		
		#total heat consumption (kWh/month):

		out <- 1000 * 4.2 * temp1 * 50 / 3600

		vars <- names(out@output) %in% c("Month", "Result", "Source")
		out <- out@output[vars]
		
		return(out)
	}
)

oprint(household.water.heating)


cat("Internal heat sources - total heat gain due to sun heat absorption through windows, kWh/month.\n")

sun.heat.absorption <- Ovariable(
	
	name="sun.heat.absorption",
	dependencies = data.frame(
		Name=c("sun.radiation.vertical.surface", "window.direction", "surface.area"),
		Ident= c("Op_en5397")
	),
	formula = function(dependencies, ...) {

		sun.heat.absorption.parameters <- opbase.data("Op_en5397.sun_heat_absorption_parameters")
		
		permeability.factor <- Ovariable(name = "permeability.factor")
		permeability.factor@output <- tidy(subset(sun.heat.absorption.parameters, Parameter=="Permeability factor"), direction="long", objname="permeability.factor")
		permeability.factor@output$Parameter <- NULL

		frame.factor <- Ovariable(name="frame.factor")
		frame.factor@output <- tidy(subset(sun.heat.absorption.parameters, Parameter=="Frame factor"), direction="long", objname="frame.factor")
		frame.factor@output$Parameter <- NULL
		
		curtain.factor <- Ovariable(name="curtain.factor")
		curtain.factor@output <- tidy(subset(sun.heat.absorption.parameters, Parameter=="Curtain factor"), direction="long", objname="curtain.factor")
		curtain.factor@output$Parameter <- NULL

		shading.factor <- Ovariable(name="shading.factor")
		shading.factor@output <- tidy(subset(sun.heat.absorption.parameters, Parameter=="Shading factor"), direction="long", objname="shading.factor")
		shading.factor@output$Parameter <- NULL

		surface.area@output <- subset(surface.area@output, Surface=="Window")
		

		#Sun radiation on windows (kWh/m2 per month):

		temp1 <- surface.area * window.direction * sun.radiation.vertical.surface

		#Sun heat absorption (kWh/month):

		out <- temp1 * frame.factor * curtain.factor * shading.factor * 0.9 * permeability.factor

		out <- aggregate(out@output[,colnames(out@output)=='Result'],by=list(out@output$Construction.year, out@output$Month),FUN="sum",na.rm="TRUE")
		names(out) <- c("Construction.year", "Month", "Result") 
		
		return(out)
	}
)

oprint(sun.heat.absorption)



cat("Internal heat sources - total heat gain due to heat radiance from inhabitants, kWh/month.\n")

inhabitant.heat.radiance <- Ovariable(
	
	name="inhabitant.heat.radiance",
	dependencies = data.frame(
		Name=c("building.characteristics", "period.length"),
		Ident= c("Op_en5397")
	),
	formula = function(dependencies, ...) {

		building.characteristics <- opbase.data("Op_en5397.building_characteristics")
		internal.heat.source.parameters <- opbase.data("Op_en5397.internal_heat_source_parameters")

		inhabitants <- Ovariable(name = "inhabitants")
		inhabitants@output <- tidy(subset(building.characteristics, Parameter=="Inhabitants"), direction="long", objname="inhabitants")
		inhabitants@output$Parameter <- NULL
		
		person.heat.radiance <- Ovariable(name = "person.heat.radiance")
		person.heat.radiance@output <- tidy(subset(internal.heat.source.parameters, Parameter=="Person heat radiance"), direction="long", objname="person.heat.radiance")
		person.heat.radiance@output$Parameter <- NULL

		time.inside <- Ovariable(name = "time.inside")
		time.inside@output <- tidy(subset(internal.heat.source.parameters, Parameter=="Time inside"), direction="long", objname="time.inside")
		time.inside@output$Parameter <- NULL
		
		#total heat gain from inhabitants (kWh/month):
	
		out <- inhabitants * person.heat.radiance * time.inside * period.length / 1000

		vars <- names(out@output) %in% c("Month", "Result", "Source")
		out <- out@output[vars]
		
		return(out)
	}
)

oprint(inhabitant.heat.radiance)



cat("Internal heat sources - total heat gain due to heat radiance from electric equipment, kWh/month.\n")

electric.eqp.heat.radiance <- Ovariable(
	
	name="electric.eqp.heat.radiance",
	dependencies = data.frame(
		Name=c("total.floor.area"),
		Ident= c("Op_en5397")
	),
	formula = function(dependencies, ...) {

		internal.heat.source.parameters <- opbase.data("Op_en5397.internal_heat_source_parameters")
		
		electrical.eqp.heat.release <- Ovariable(name = "electrical.eqp.heat.release")
		electrical.eqp.heat.release@output <- tidy(subset(internal.heat.source.parameters, Parameter=="Electrical equipment heat"), direction="long", objname="electrical.eqp.heat.release")
		electrical.eqp.heat.release@output$Parameter <- NULL

		#total heat gain from electrical equipment (kWh/month):
	
		out <- electrical.eqp.heat.release * total.floor.area / 12

		vars <- names(out@output) %in% c("Construction.year", "Result", "Source")
		out <- out@output[vars]
		
		return(out)
	}
)

oprint(electric.eqp.heat.radiance)



cat("Annual net heat consumption (kWh/a) in a single-family detached house. Includes heat loss via conduction, ventilation, air leak, and household water heating, and heat gain from internal heat sources (sun heat absorption through windows, heat radiance from inhabitants and electrical equipment. Excludes heat losses from the heat distribution (water radiators). However, heat loss from the heat distribution is largely utilised as an internal heat source and, hence, does not contribute significantly to the overall net heat consumption\n")

net.heat.consumption <- Ovariable(
	
	name="net.heat.consumption",
	dependencies = data.frame(
		Name=c("conduction.heat.loss", "ventilation.heat.loss", "air.leak.heat.loss", "household.water.heating", "sun.heat.absorption", "inhabitant.heat.radiance", "electric.eqp.heat.radiance", "average.outdoor.temperature.month", "period.length", "heating.season"),
		Ident= c("Op_en5397")
	),
	formula = function(dependencies, ...) {

		internal.heat.source.parameters <- opbase.data("Op_en5397.internal_heat_source_parameters")
		building.characteristics <- opbase.data("Op_en5397.building_characteristics")			
		
		internal.heat.capacity <- Ovariable(name = "internal.heat.capacity")
		internal.heat.capacity@output <- tidy(subset(internal.heat.source.parameters, Parameter=="Internal heat capacity"), direction="long", objname="internal.heat.capacity")
		internal.heat.capacity@output$Parameter <- NULL

		indoor.temperature <- Ovariable(name = "indoor.temperature")
		indoor.temperature@output <- tidy(subset(building.characteristics, Parameter=="Indoor air temperature"), direction="long", objname="indoor.temperature")
		indoor.temperature@output$Parameter <- NULL
		
		heat.loss <- conduction.heat.loss + ventilation.heat.loss + air.leak.heat.loss
		internal.heat.gain <- sun.heat.absorption + inhabitant.heat.radiance + electric.eqp.heat.radiance


		#Utilisation of heat from internal heat sources:
	
		temp1 <- internal.heat.capacity / (heat.loss / (indoor.temperature - average.outdoor.temperature.month) * period.length * 1000)
		temp2 <- (1 - (internal.heat.gain / heat.loss)^(1 + temp1 / 15)) / (1 - (internal.heat.gain / heat.loss)^((1 + temp1 / 15) + 1))
		temp3 <- temp2 * heating.season

		#Building net heat consumption (kWh/month):

		out <- heat.loss + household.water.heating - internal.heat.gain * temp3

		out <- aggregate(out@output[,colnames(out@output)=='Result'],by=list(out@output$Construction.year),FUN="sum",na.rm="TRUE")
		names(out) <- c("Construction.year", "Result") 

		
		return(out)
	}
)

oprint(net.heat.consumption)



cat("Contribution of different sources of heat loss and internal heat gain on net heat consumption (Kwh/a)\n")


net.heat.consumption.balance <- Ovariable(
	
	name="net.heat.consumption.balance",
	dependencies = data.frame(
		Name=c("conduction.heat.loss", "ventilation.heat.loss", "air.leak.heat.loss", "household.water.heating", "sun.heat.absorption", "inhabitant.heat.radiance", "electric.eqp.heat.radiance", "average.outdoor.temperature.month", "period.length", "heating.season"),
		Ident= c("Op_en5397")
	),
	formula = function(dependencies, ...) {

		internal.heat.source.parameters <- opbase.data("Op_en5397.internal_heat_source_parameters")
		building.characteristics <- opbase.data("Op_en5397.building_characteristics")			
		
		internal.heat.capacity <- Ovariable(name = "internal.heat.capacity")
		internal.heat.capacity@output <- tidy(subset(internal.heat.source.parameters, Parameter=="Internal heat capacity"), direction="long", objname="internal.heat.capacity")
		internal.heat.capacity@output$Parameter <- NULL

		indoor.temperature <- Ovariable(name = "indoor.temperature")
		indoor.temperature@output <- tidy(subset(building.characteristics, Parameter=="Indoor air temperature"), direction="long", objname="indoor.temperature")
		indoor.temperature@output$Parameter <- NULL
		
		heat.loss <- conduction.heat.loss + ventilation.heat.loss + air.leak.heat.loss
		internal.heat.gain <- sun.heat.absorption + inhabitant.heat.radiance + electric.eqp.heat.radiance


		#Utilisation of heat from internal heat sources:
	
		temp1 <- internal.heat.capacity / (heat.loss / (indoor.temperature - average.outdoor.temperature.month) * period.length * 1000)
		temp2 <- (1 - (internal.heat.gain / heat.loss)^(1 + temp1 / 15)) / (1 - (internal.heat.gain / heat.loss)^((1 + temp1 / 15) + 1))
		temp3 <- temp2 * heating.season

		#Building net heat consumption (kWh/month):

		#out <- heat.loss + household.water.heating - internal.heat.gain * temp3
		#out <- aggregate(out@output[,colnames(out@output)=='Result'],by=list(out@output$Construction.year),FUN="sum",na.rm="TRUE")
		#names(out) <- c("Construction.year", "Result") 

		conduction.heat.loss <- aggregate(conduction.heat.loss@output[,colnames(conduction.heat.loss@output)=='conduction.heat.lossResult'],by=list(conduction.heat.loss@output$Construction.year),FUN="sum",na.rm="TRUE")
		names(conduction.heat.loss) <- c("Construction.year", "Result")
		conduction.heat.loss$Contributor <- "Heat conduction"
		conduction.heat.loss$Effect <- "Heat loss"

		ventilation.heat.loss <- aggregate(ventilation.heat.loss@output[,colnames(ventilation.heat.loss@output)=='ventilation.heat.lossResult'],by=list(ventilation.heat.loss@output$Construction.year),FUN="sum",na.rm="TRUE")
		names(ventilation.heat.loss) <- c("Construction.year", "Result")
		ventilation.heat.loss$Contributor <- "Air ventilation"
		ventilation.heat.loss$Effect <- "Heat loss"

		air.leak.heat.loss <- aggregate(air.leak.heat.loss@output[,colnames(air.leak.heat.loss@output)=='air.leak.heat.lossResult'],by=list(air.leak.heat.loss@output$Construction.year),FUN="sum",na.rm="TRUE")
		names(air.leak.heat.loss) <- c("Construction.year", "Result")
		air.leak.heat.loss$Contributor <- "Air leak"
		air.leak.heat.loss$Effect <- "Heat loss"

		household.water.heating <- sum(household.water.heating@output$household.water.heatingResult)
		temp5 <- ventilation.heat.loss
		vars <- names(temp5) %in% c("Construction.year")
		temp5 <- temp5[vars]
		temp5$Result <- household.water.heating
		temp5$Contributor <- "Household water heating"
		temp5$Effect <- "Heat loss" 
		household.water.heating <- temp5

		sun.heat.absorption <- sun.heat.absorption * temp3
		sun.heat.absorption <- aggregate(sun.heat.absorption@output[,colnames(sun.heat.absorption@output)=='Result'],by=list(sun.heat.absorption@output$Construction.year),FUN="sum",na.rm="TRUE")
		names(sun.heat.absorption) <- c("Construction.year", "Result")
		sun.heat.absorption$Contributor <- "Sun heat absorption"
		sun.heat.absorption$Effect <- "Heat gain"

		electric.eqp.heat.radiance <- electric.eqp.heat.radiance * temp3
		electric.eqp.heat.radiance <- aggregate(electric.eqp.heat.radiance@output[,colnames(electric.eqp.heat.radiance@output)=='Result'],by=list(electric.eqp.heat.radiance@output$Construction.year),FUN="sum",na.rm="TRUE")
		names(electric.eqp.heat.radiance) <- c("Construction.year", "Result")
		electric.eqp.heat.radiance$Contributor <- "Electric equipment heat radiance"
		electric.eqp.heat.radiance$Effect <- "Heat gain"

		inhabitant.heat.radiance <- sum(inhabitant.heat.radiance@output$inhabitant.heat.radianceResult)
		temp6 <- ventilation.heat.loss
		vars <- names(temp6) %in% c("Construction.year")
		temp6 <- temp6[vars]
		temp6$Result <- inhabitant.heat.radiance
		temp6$Contributor <- "inhabitant heat radiance"
		temp6$Effect <- "Heat gain" 
		inhabitant.heat.radiance <- temp6 

		out <- rbind(conduction.heat.loss, ventilation.heat.loss, air.leak.heat.loss, household.water.heating, sun.heat.absorption, inhabitant.heat.radiance, electric.eqp.heat.radiance)
		out$Result2 <- out$Result
		out$Result <- NULL
		library(reshape)
		out <- rename(out, c(Result2="Result"))
		
		return(out)
	}
)

oprint(net.heat.consumption.balance)




cat("Annual total energy purchase for heating in a single-family detached house(kWh/a). Takes into account the heat production efficiency of the heat production device\n")

heating.energy.purchase <- Ovariable(
	
	name="heating.energy.purchase",
	dependencies = data.frame(
		Name=c("net.heat.consumption", "heat.production.efficiency"),
		Ident= c("Op_en5397")
	),
	formula = function(dependencies, ...) {

		#Building net heat consumption (kWh/month):

		out <- net.heat.consumption / heat.production.efficiency

		vars <- names(out@output) %in% c("Construction.year", "Heating system", "Result", "Source")
		out <- out@output[vars]

		
		return(out)
	}
)

oprint(heating.energy.purchase)

Rationale

Heat consumption of a building depends on the outdoor air temperature, preferred indoor air temperature, insulation, air tightness and surface area of the building envelope (walls, roof, floor, windows, doors), ventilation rate and heat recovery from the ventilated air, heating system (efficiency of heat production and recovery of lost heat), hot water demand, internal heat gains from people and electrical equipment, and external heat gains from the sun.

Models for calculating building heat consumption

D5 Suomen rakentamismääräyskokoelma
- Ohjeet 2007^[1]
- Ohjeet 2012^[2]

Outdoor temperature in Finland

Finnish Meteorological Institute temperature statistics^[3]:
- Monthly temperatures (Celsius) in different observation points in Finland in 1971-2000
- Areas (Southern Finland, Western Finland, Eastern Finland, Northern Finland) are defined based on Statistics Finland major regions classification^[4]
- The average monthly temperature in each area has been calculated as the mean of all the observation points (cities) within that area.

Area/City	January	February	March	April	May	June	July	August	September	October	November	December	Average for September-May
Southern Finland
Kaarina (Yltöinen)	-4.6	-5.5	-1.9	3.1	9.6	14.4	16.9	15.3	10.4	5.7	1	-2.8	1.7
Helsinki-Vantaa (airport)	-5.2	-5.7	-2.2	3.3	10	14.6	16.9	15.3	10.1	5.2	0.1	-3.2	1.4
Lahti (Laune)	-6.8	-7.3	-2.9	2.8	9.9	14.6	16.6	14.6	9.1	4.2	-0.8	-4,8	0.4
Lappeenranta (airport)	-8	-8.1	-3.2	2.5	9.9	14.7	17.2	14.9	9.4	3.9	-1.4	-5.2	0
Average	-6.2	-6.7	-2.6	2.9	9.9	14.6	16.9	15.0	9.8	4.8	-0.3	-4.0	0.9
Western Finland
Tampere-Pirkkala (airport)	-6.7	-7	-2.8	3	9.5	14.4	16.6	14.6	9.4	4.7	-1	-4.6	0.5
Jyväskylä (airport)	-8.5	-8.7	-4	1.4	8.7	14	16	13.7	8.2	3.2	-2.2	-6.4	-0.9
Seinäjoki (Pelmaa)	-7.1	-7.3	-3.2	2.2	8.8	13.9	15.4	13.8	8.7	3.9	-1.4	-5.3	-0.1
Average	-7.4	-7.7	-3.3	2.2	9.0	14.1	16.0	14.0	8.8	3.9	-1.5	-5.4	-0.2
Eastern Finland
Tohmajärvi (Kemie)	-10	-9.8	-4.4	1.3	8.6	14	16.1	13.5	8.2	3	-2.9	-7.3	-1.5
Valtimo (Kk)	-11.1	-10.8	-5	0.6	8	13.7	16	13.3	7.8	2.3	-3.7	-8.7	-2.3
Siikajoki	-9.4	-9	-4.4	1	7.6	13.1	15.5	13	7.9	2.8	-3.1	-7.3	-1.5
Average	-10.2	-9.9	-4.6	1.0	8.1	13.6	15.9	13.3	8.0	2.7	-3.2	-7.8	-1.8
Northern Finland
Rovaniemi (airport)	-11.7	-11.0	-6.1	-1.0	5.8	12.2	14.9	12.1	6.6	0.2	-6.1	-10.0	-3.7

Jylhä et al. 2009^[5]
- Estimates for climate change in Finland by the Finnish Meteorologigal Institute.
- Projected change in seasonal and annual mean temperature (Celsius) in 2010-2039 relative to 1971-2000 as averaged over the territory of Finland. In addition to the best estimate (50%), six other percentiles of the probability distribution are given. The projection is based on the simulations performed with 19 global climate models, with IPCC greenhouse gas emission scenarios A1B, A2 and B1 considered equally likely.

Probability distribution percentile:	5 %	10 %	25 %	50 %	75 %	90 %	95 %
Winter	1.1	1.4	1.8	2.2	2.7	3.1	3.3
Spring	0.4	0.6	1	1.4	1.9	2.3	2.5
Summer	0	0.3	0.6	1.1	1.5	1.9	2.1
Autumn	0.6	0.8	1.1	1.4	1.7	2	2.2
Annual	0.7	0.9	1.2	1.5	1.9	2.2	2.3

Indoor air temperature

Finnish health based guideline values (Celsius degrees) for indoor air temperature in residential buildings^[6]:
- Good level: 21 C
- Lowest acceptable level: 18 C
- Highest acceptable level: 26 C
- Highest recommended level during heating period: 23-24 C

Building characteristics

Building structure U-values (heat transfer coefficient, W / m² K) given in Finnish building regulations:

	1978-1985		1985-2002		2003-2006		2007-2010		2010-
Building structure	Mass less than 100 kg / m2	Mass over 100 kg / m2	Warm area > 17 °C	Half warm area > 5 °C	Warm area > 17 °C	Half warm area > 5 °C	Warm area 17 °C	Half warm area > 5 °C	Warm area 17 °C	Half warm area > 5 °C
Wall	0,29	0,35	0,28	0,45	0,25	0,45	0,24	0,38	0,17	0,26
Roof	0,23	0,29	0,22	0,45	0,16	0,45	0,15	0,28	0,09	0,14
Floor	0,23	0,29	0,22	0,45	0,16	0,45	0,15	0,28	0,09	0,26
Floor structure directly against ground	0,4	0,4	0,36	0,45	0,25	0,45	0,24	0,34	0,16	0,24
Window			2,1	3,1	1,4	2,1	1,4	1,8	1	1,4
Door			0,7	2,9	1,4	2,1	1,4	1,8	1	1,4

Development of building characteristics in Finland^[7]

	50's	60's	70's	80's	New (2009), standard	New (2009), tight
Roof, U-value	0.3	0.28	0.25	0.25	0.16	0.16
Floor, U-value	0.3	0.3	0.3	0.3	0.2	0.2
Wall, U-value	0.48	0.4	0.3	0.28	0.25	0.25
Window, U-value	2.1	2.1	1.6	1.4	1.4	1.4
n50 (air leakage)	12	10	7	7	4	1
Air exchange technique	Gravitational	Gravitational	Mechanical	Mechanical	Mechanical with heat recovery	Mechanical with heat recovery

Window surface area in the 2010 Finnish building regulations^[8]
- The guideline value (vertailuarvo) for the total surface area of windows is 15% from the total surface area of floors completely or partly above the ground level.
- The maximum value for the total surface area of windows is 50% from the total surface area of the outside walls.

Warm water consumption

Dependencies

Outdoor air temperature
Indoor air temperature
Building envelope (walls, roof, floor, windows, doors)
- Insulation (heat conductance)
- Air tightness (involuntary air leakage)
Air ventilation (rate, heat recovery)
Heating system (heat production efficiency and heat loss from distribution within a building)
Internal heat gains (electrical equipment, people, recovery of heat loss from heat distribution within a building)
External heat gains (sun)
Hot water demand

Formula

Keywords

Building, heat consumption

References

↑ Ympäristöministeriö 2007. Rakennuksen energiakulutuksen ja lämmitystehon tarpeen laskenta.. Ohjeet 2007. D5 Suomen rakentamismääräyskokoelma, Ympäristöminiteriö, Asunto- ja rakennusosasto.
↑ Ympäristöministeriö 2007. Rakennuksen energiakulutuksen ja lämmitystehon tarpeen laskenta.. Ohjeet 2007. D5 Suomen rakentamismääräyskokoelma, Ympäristöminiteriö, Asunto- ja rakennusosasto. Luonnos 28.9.2010
↑ Ilmatieteenlaitos, kuukausitilastot
↑ Tilastokeskus, Suomen suuraluejako
↑ Jylhä et al. 2009. Arvioita Suomen muuttuvasta ilmastosta sopeutumistutkimuksia varten. ACCLIM-hankkeen raportti 2009. Ilmatieteen laitos, raportti 2009:4.
↑ Sosiaali- ja terveysministeriö 2003. Asumisterveysohje. Asuntojen ja muiden oleskelutilojen fysikaaliset, kemialliset ja mikrobiologiset tekijät. Sosiaali- ja terveysministeriön oppaita 2003:1.
↑ Tutkija Virpi Leivo (Tampereen teknillinen yliopisto, rakennustekniikka), esitys "Rakennusten energiatehokkuus, sisäympäristön laatu ja terveys" -workshopissa Kuopiossa 12.8.2009.
↑ Ympäristöministeriö 2008. Rakennusten lämmöneristys. Määräykset 2010. C3 Suomen rakentamismääräyskokoelma. Ympäristöministeriö, Rakennetun ympäristön osasto.

Related files

Unit heat consumption of buildings in Finland. Opasnet . [1]. Accessed 30 Dec 2024.

[1] Ympäristöministeriö 2007. Rakennuksen energiakulutuksen ja lämmitystehon tarpeen laskenta.. Ohjeet 2007. D5 Suomen rakentamismääräyskokoelma, Ympäristöminiteriö, Asunto- ja rakennusosasto.

[2] Ympäristöministeriö 2007. Rakennuksen energiakulutuksen ja lämmitystehon tarpeen laskenta.. Ohjeet 2007. D5 Suomen rakentamismääräyskokoelma, Ympäristöminiteriö, Asunto- ja rakennusosasto. Luonnos 28.9.2010

[3] Ilmatieteenlaitos, kuukausitilastot

[4] Tilastokeskus, Suomen suuraluejako

[5] Jylhä et al. 2009. Arvioita Suomen muuttuvasta ilmastosta sopeutumistutkimuksia varten. ACCLIM-hankkeen raportti 2009. Ilmatieteen laitos, raportti 2009:4.

[6] Sosiaali- ja terveysministeriö 2003. Asumisterveysohje. Asuntojen ja muiden oleskelutilojen fysikaaliset, kemialliset ja mikrobiologiset tekijät. Sosiaali- ja terveysministeriön oppaita 2003:1.

[7] Tutkija Virpi Leivo (Tampereen teknillinen yliopisto, rakennustekniikka), esitys "Rakennusten energiatehokkuus, sisäympäristön laatu ja terveys" -workshopissa Kuopiossa 12.8.2009.

[8] Ympäristöministeriö 2008. Rakennusten lämmöneristys. Määräykset 2010. C3 Suomen rakentamismääräyskokoelma. Ympäristöministeriö, Rakennetun ympäristön osasto.

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