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add option for endogenously retrofitting

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This commit is contained in:
lisazeyen 2020-10-21 15:21:26 +02:00
parent 301d74f059
commit d1282ba315
10 changed files with 63519 additions and 1 deletions
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21
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@ -283,6 +283,23 @@ rule build_industrial_demand:
resources: mem_mb=1000
script: 'scripts/build_industrial_demand.py'
if config['sector']['retrofitting'].get('retro_endogen', True):
rule build_retro_cost:
input:
building_stock="data/retro/data_building_stock.csv",
u_values_PL="data/retro/u_values_poland.csv",
tax_w="data/retro/electricity_taxes_eu.csv",
construction_index="data/retro/comparative_level_investment.csv",
average_surface="data/retro/average_surface_components.csv",
floor_area_missing="data/retro/floor_area_missing.csv",
clustered_pop_layout="resources/pop_layout_{network}_s{simpl}_{clusters}.csv",
cost_germany="data/retro/retro_cost_germany.csv",
window_assumptions="data/retro/window_assumptions.csv"
output:
retro_cost="resources/retro_cost_{network}_s{simpl}_{clusters}.csv",
floor_area="resources/floor_area_{network}_s{simpl}_{clusters}.csv"
script: "scripts/build_retro_cost.py"
rule prepare_sector_network:
input:
@ -320,7 +337,9 @@ rule prepare_sector_network:
cop_air_urban="resources/cop_air_urban_{network}_s{simpl}_{clusters}.nc",
solar_thermal_total="resources/solar_thermal_total_{network}_s{simpl}_{clusters}.nc",
solar_thermal_urban="resources/solar_thermal_urban_{network}_s{simpl}_{clusters}.nc",
solar_thermal_rural="resources/solar_thermal_rural_{network}_s{simpl}_{clusters}.nc"
solar_thermal_rural="resources/solar_thermal_rural_{network}_s{simpl}_{clusters}.nc",
retro_cost_energy = "resources/retro_cost_{network}_s{simpl}_{clusters}.csv",
floor_area = "resources/floor_area_{network}_s{simpl}_{clusters}.csv"
output: config['results_dir'] + config['run'] + '/prenetworks/{network}_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}_{co2_budget_name}_{planning_horizons}.nc'
threads: 1
resources: mem_mb=2000

7
data/retro/average_surface_components.csv Normal file
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@ -0,0 +1,7 @@
,Dwelling,Ceilling,Standard component surfaces (m2),component,surfaces,(m2),,
Building type,Space(m²),Height(m),Roof,Facade,Floor,Windows,,
Single/two family house,120,2.5,90,166,63,29,,
Large apartment house,1457,2.5,354,1189,354,380,,
Apartment house,5276,,598.337,2992.1,598.337,756,tabula ,http://webtool.building-typology.eu/#pdfes
,,,,,,,,
"Source: https://link.springer.com/article/10.1007/s12053-010-9090-6 ,p.4",,,,,,,,
1 Dwelling Ceilling Standard component surfaces (m2) component surfaces (m2)
2 Building type Space(m²) Height(m) Roof Facade Floor Windows
3 Single/two family house 120 2.5 90 166 63 29
4 Large apartment house 1457 2.5 354 1189 354 380
5 Apartment house 5276 598.337 2992.1 598.337 756 tabula http://webtool.building-typology.eu/#pdfes
6
7 Source: https://link.springer.com/article/10.1007/s12053-010-9090-6 ,p.4

49
data/retro/comparative_level_investment.csv Normal file
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@ -0,0 +1,49 @@
NA_ITEM,Price level indices (EU28=100),,,,,,,,,
PPP_CAT,Actual individual consumption,,,,,,,,,
,,,,,,,,,,
GEO/TIME,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018
European Union - 28 countries,100.0,100.0,100.0,100.0,100.0,100.0,100.0,100.0,100.0,100.0
Belgium,113.6,111.9,112.4,111.5,111.0,108.9,106.3,110.3,112.3,112.5
Bulgaria,47.1,45.7,45.5,45.0,44.2,42.6,42.2,43.2,45.1,46.3
Czech Republic,64.5,66.6,68.9,66.9,63.3,58.3,58.4,60.5,62.4,65.0
Denmark,141.7,140.0,139.9,140.0,139.3,138.5,135.0,140.0,138.9,138.1
Germany,104.6,103.1,102.2,101.1,102.5,101.5,100.4,102.6,103.7,104.1
Estonia,67.5,66.0,67.2,67.6,69.9,69.9,68.9,71.0,73.9,76.3
Ireland,129.9,122.7,122.5,120.5,123.2,124.9,122.2,126.5,129.1,129.2
Greece,93.6,95.4,94.9,91.9,87.8,83.8,81.0,82.3,83.0,81.8
Spain,97.5,98.7,98.5,95.8,95.1,92.7,90.0,92.7,93.7,93.7
France,111.2,109.9,109.6,108.7,107.0,106.0,104.0,105.8,107.1,107.4
Croatia,70.2,70.1,68.1,65.5,64.5,62.5,60.7,61.3,63.0,64.0
Italy,103.6,100.4,101.5,101.1,102.3,102.6,100.3,101.1,101.6,101.4
Cyprus,92.0,94.6,95.8,96.0,95.2,92.0,88.5,89.8,91.2,90.6
Latvia,68.1,62.3,65.5,65.9,66.0,66.0,64.2,66.9,68.3,69.5
Lithuania,60.3,57.8,58.3,58.0,57.8,56.9,55.9,58.3,60.0,61.4
Luxembourg,130.0,136.5,136.0,135.8,135.1,135.7,132.1,137.0,139.9,141.6
Hungary,58.2,57.4,56.4,54.9,54.4,53.4,53.3,56.2,59.4,59.0
Malta,75.8,76.6,78.0,78.0,80.8,80.5,79.8,81.4,81.9,83.4
Netherlands,108.5,112.3,112.7,111.3,111.9,111.9,109.6,113.8,114.6,114.8
Austria,109.9,109.2,110.1,108.9,109.1,109.1,107.2,110.2,112.8,113.7
Poland,53.1,55.2,53.7,52.1,52.4,52.5,51.1,50.9,53.5,54.3
Portugal,85.2,85.0,85.3,82.7,81.1,80.4,78.7,81.6,83.5,84.6
Romania,49.1,46.9,47.7,45.6,47.8,47.6,47.2,46.8,48.0,48.6
Slovenia,85.3,84.3,83.7,81.8,82.1,81.5,79.8,82.3,82.7,83.8
Slovakia,66.6,62.5,63.4,63.4,63.4,63.3,62.3,63.6,65.4,66.1
Finland,121.0,120.3,121.6,121.8,124.0,122.9,119.6,122.8,123.3,123.4
Sweden,109.5,124.6,131.7,134.3,140.5,133.6,128.8,135.3,134.5,126.9
United Kingdom,107.5,111.4,111.3,118.6,117.0,123.6,134.7,123.5,117.6,117.7
Iceland,94.9,107.6,109.6,111.6,116.0,123.4,132.5,154.5,172.3,163.7
Norway,142.4,158.8,165.3,172.5,166.9,157.2,152.2,155.0,157.3,155.4
Switzerland,131.6,146.4,161.7,160.6,155.1,153.0,167.0,169.8,167.1,159.1
Candidate and potential candidate countries except Turkey and Kosovo (under United Nations Security Council Resolution 1244/99),48.0,45.6,47.1,44.8,46.4,45.2,43.4,44.4,46.0,47.5
Montenegro,52.3,49.5,49.3,50.1,50.5,49.3,48.0,48.7,50.5,51.1
North Macedonia,41.4,41.3,42.7,42.1,42.5,41.9,40.9,41.7,43.2,43.3
Albania,46.2,42.8,42.1,40.6,41.9,41.5,39.8,43.0,43.5,46.6
Serbia,48.3,45.0,48.0,44.5,47.3,45.5,43.1,43.8,46.1,47.9
Turkey,55.4,61.2,54.7,58.5,57.7,51.6,50.5,50.2,45.4,37.0
Bosnia and Herzegovina,51.6,50.7,50.6,49.2,49.1,48.4,47.0,47.5,48.2,48.9
Kosovo (under United Nations Security Council Resolution 1244/99),:,:,:,:,:,:,:,:,:,:
United States,92.4,98,93.3,101.2,100.3,99,115.9,121.1,120.8,115.2
Japan,115.1,126.1,127.8,133.8,101.7,94.8,96.5,113,109.4,103.9
,,,,,,,,,,
"Source: Eurostat Purchasing power parities (PPPs), price level indices and real expenditures for ESA 2010 aggregates (2019)",,,,,,,,,,
https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Comparative_price_levels_for_investment,,,,,,,,,,
1 NA_ITEM Price level indices (EU28=100)
2 PPP_CAT Actual individual consumption
3
4 GEO/TIME 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018
5 European Union - 28 countries 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0
6 Belgium 113.6 111.9 112.4 111.5 111.0 108.9 106.3 110.3 112.3 112.5
7 Bulgaria 47.1 45.7 45.5 45.0 44.2 42.6 42.2 43.2 45.1 46.3
8 Czech Republic 64.5 66.6 68.9 66.9 63.3 58.3 58.4 60.5 62.4 65.0
9 Denmark 141.7 140.0 139.9 140.0 139.3 138.5 135.0 140.0 138.9 138.1
10 Germany 104.6 103.1 102.2 101.1 102.5 101.5 100.4 102.6 103.7 104.1
11 Estonia 67.5 66.0 67.2 67.6 69.9 69.9 68.9 71.0 73.9 76.3
12 Ireland 129.9 122.7 122.5 120.5 123.2 124.9 122.2 126.5 129.1 129.2
13 Greece 93.6 95.4 94.9 91.9 87.8 83.8 81.0 82.3 83.0 81.8
14 Spain 97.5 98.7 98.5 95.8 95.1 92.7 90.0 92.7 93.7 93.7
15 France 111.2 109.9 109.6 108.7 107.0 106.0 104.0 105.8 107.1 107.4
16 Croatia 70.2 70.1 68.1 65.5 64.5 62.5 60.7 61.3 63.0 64.0
17 Italy 103.6 100.4 101.5 101.1 102.3 102.6 100.3 101.1 101.6 101.4
18 Cyprus 92.0 94.6 95.8 96.0 95.2 92.0 88.5 89.8 91.2 90.6
19 Latvia 68.1 62.3 65.5 65.9 66.0 66.0 64.2 66.9 68.3 69.5
20 Lithuania 60.3 57.8 58.3 58.0 57.8 56.9 55.9 58.3 60.0 61.4
21 Luxembourg 130.0 136.5 136.0 135.8 135.1 135.7 132.1 137.0 139.9 141.6
22 Hungary 58.2 57.4 56.4 54.9 54.4 53.4 53.3 56.2 59.4 59.0
23 Malta 75.8 76.6 78.0 78.0 80.8 80.5 79.8 81.4 81.9 83.4
24 Netherlands 108.5 112.3 112.7 111.3 111.9 111.9 109.6 113.8 114.6 114.8
25 Austria 109.9 109.2 110.1 108.9 109.1 109.1 107.2 110.2 112.8 113.7
26 Poland 53.1 55.2 53.7 52.1 52.4 52.5 51.1 50.9 53.5 54.3
27 Portugal 85.2 85.0 85.3 82.7 81.1 80.4 78.7 81.6 83.5 84.6
28 Romania 49.1 46.9 47.7 45.6 47.8 47.6 47.2 46.8 48.0 48.6
29 Slovenia 85.3 84.3 83.7 81.8 82.1 81.5 79.8 82.3 82.7 83.8
30 Slovakia 66.6 62.5 63.4 63.4 63.4 63.3 62.3 63.6 65.4 66.1
31 Finland 121.0 120.3 121.6 121.8 124.0 122.9 119.6 122.8 123.3 123.4
32 Sweden 109.5 124.6 131.7 134.3 140.5 133.6 128.8 135.3 134.5 126.9
33 United Kingdom 107.5 111.4 111.3 118.6 117.0 123.6 134.7 123.5 117.6 117.7
34 Iceland 94.9 107.6 109.6 111.6 116.0 123.4 132.5 154.5 172.3 163.7
35 Norway 142.4 158.8 165.3 172.5 166.9 157.2 152.2 155.0 157.3 155.4
36 Switzerland 131.6 146.4 161.7 160.6 155.1 153.0 167.0 169.8 167.1 159.1
37 Candidate and potential candidate countries except Turkey and Kosovo (under United Nations Security Council Resolution 1244/99) 48.0 45.6 47.1 44.8 46.4 45.2 43.4 44.4 46.0 47.5
38 Montenegro 52.3 49.5 49.3 50.1 50.5 49.3 48.0 48.7 50.5 51.1
39 North Macedonia 41.4 41.3 42.7 42.1 42.5 41.9 40.9 41.7 43.2 43.3
40 Albania 46.2 42.8 42.1 40.6 41.9 41.5 39.8 43.0 43.5 46.6
41 Serbia 48.3 45.0 48.0 44.5 47.3 45.5 43.1 43.8 46.1 47.9
42 Turkey 55.4 61.2 54.7 58.5 57.7 51.6 50.5 50.2 45.4 37.0
43 Bosnia and Herzegovina 51.6 50.7 50.6 49.2 49.1 48.4 47.0 47.5 48.2 48.9
44 Kosovo (under United Nations Security Council Resolution 1244/99) : : : : : : : : : :
45 United States 92.4 98 93.3 101.2 100.3 99 115.9 121.1 120.8 115.2
46 Japan 115.1 126.1 127.8 133.8 101.7 94.8 96.5 113 109.4 103.9
47
48 Source: Eurostat Purchasing power parities (PPPs), price level indices and real expenditures for ESA 2010 aggregates (2019)
49 https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Comparative_price_levels_for_investment

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@ -0,0 +1,164 @@
Electricity prices for household consumers - bi-annual data (from 2007 onwards) [nrg_pc_204],,,,
,,,,
Last update,30.10.19,,,
Extracted on,14.11.19,,,
Source of data,Eurostat,,,
,,,,
PRODUCT,Electrical energy,,,
CONSOM,Band DC : 2 500 kWh < Consumption < 5 000 kWh,,,
UNIT,Kilowatt-hour,,,
TIME,2018S1,,,
,,,,
CURRENCY,Euro,Euro,Euro,
GEO/TAX,Excluding taxes and levies,Excluding VAT and other recoverable taxes and levies,All taxes and levies included,% cost without taxes
European Union - 28 countries,0.1285,0.1756,0.2052,0.626218323586745
"Euro area (EA11-2000, EA12-2006, EA13-2007, EA15-2008, EA16-2010, EA17-2013, EA18-2014, EA19)",0.1331,0.1855,0.2188,0.608318098720293
Belgium,0.1903,0.2279,0.2733,0.696304427369191
Bulgaria,0.0816,0.0816,0.0979,0.833503575076609
Czech Republic,0.1286,0.1298,0.1573,0.817546090273363
Denmark,0.1011,0.2501,0.3126,0.32341650671785
Germany,0.1379,0.2510,0.2987,0.461667224640107
Estonia,0.0989,0.1123,0.1348,0.733679525222552
Ireland,0.1846,0.2087,0.2369,0.779231743351625
Greece,0.1132,0.1482,0.1672,0.677033492822967
Spain,0.1873,0.1969,0.2383,0.785984053713806
France,0.1134,0.1492,0.1748,0.648741418764302
Croatia,0.1020,0.1160,0.1311,0.778032036613272
Italy,0.1285,0.1873,0.2067,0.621673923560716
Cyprus,0.1445,0.1606,0.1893,0.763338615953513
Latvia,0.1035,0.1266,0.1531,0.676028739386022
Lithuania,0.0771,0.0906,0.1097,0.702825888787603
Luxembourg,0.1283,0.1547,0.1671,0.767803710353082
Hungary,0.0885,0.0885,0.1123,0.78806767586821
Malta,0.1209,0.1224,0.1285,0.940856031128405
Netherlands,0.1187,0.1410,0.1706,0.6957796014068
Austria,0.1232,0.1638,0.1966,0.626653102746694
Poland,0.0906,0.1146,0.1410,0.642553191489362
Portugal,0.1007,0.1826,0.2246,0.448352626892253
Romania,0.0990,0.1120,0.1333,0.742685671417854
Slovenia,0.1108,0.1322,0.1613,0.686918784872908
Slovakia,0.0942,0.1305,0.1566,0.601532567049808
Finland,0.1074,0.1300,0.1612,0.666253101736973
Sweden,0.1202,0.1513,0.1891,0.635642517186674
United Kingdom,0.1347,0.1797,0.1887,0.713831478537361
Iceland,0.1222,0.1246,0.1545,0.790938511326861
Liechtenstein,:,:,:,#VALUE!
Norway,0.1254,0.1434,0.1751,0.716162193032553
Montenegro,0.0828,0.0844,0.1024,0.80859375
North Macedonia,0.0662,0.0662,0.0781,0.847631241997439
Albania,:,:,:,#VALUE!
Serbia,0.0539,0.0587,0.0705,0.764539007092199
Turkey,0.0727,0.0766,0.0904,0.804203539823009
Bosnia and Herzegovina,0.0722,0.0738,0.0864,0.835648148148148
Kosovo (under United Nations Security Council Resolution 1244/99),0.0569,0.0586,0.0633,0.898894154818325
Moldova,0.1020,0.1020,0.1020,1
Ukraine,0.0342,0.0342,0.0410,0.834146341463415
,,,0.157271052631579,
Special value:,,,,
:,not available,,,
,,,,
PRODUCT,Electrical energy,,,
CONSOM,Band DC : 2 500 kWh < Consumption < 5 000 kWh,,,
UNIT,Kilowatt-hour,,,
TIME,2018S2,,,
,,,,
CURRENCY,Euro,Euro,Euro,
GEO/TAX,Excluding taxes and levies,Excluding VAT and other recoverable taxes and levies,All taxes and levies included,
European Union - 28 countries,0.1329,0.1810,0.2113,
"Euro area (EA11-2000, EA12-2006, EA13-2007, EA15-2008, EA16-2010, EA17-2013, EA18-2014, EA19)",0.1376,0.1902,0.2242,
Belgium,0.1998,0.2429,0.2937,
Bulgaria,0.0838,0.0838,0.1005,
Czechia,0.1299,0.1311,0.1586,
Denmark,0.1116,0.2499,0.3123,
Germany (until 1990 former territory of the FRG),0.1378,0.2521,0.3000,
Estonia,0.1048,0.1182,0.1418,
Ireland,0.2006,0.2237,0.2539,
Greece,0.1125,0.1458,0.1646,
Spain,0.1947,0.2047,0.2477,
France,0.1168,0.1537,0.1799,
Croatia,0.1028,0.1169,0.1321,
Italy,0.1416,0.1964,0.2161,
Cyprus,0.1745,0.1850,0.2183,
Latvia,0.1041,0.1249,0.1511,
Lithuania,0.0771,0.0906,0.1097,
Luxembourg,0.1302,0.1566,0.1691,
Hungary,0.0880,0.0880,0.1118,
Malta,0.1229,0.1244,0.1306,
Netherlands,0.1212,0.1420,0.1707,
Austria,0.1265,0.1676,0.2012,
Poland,0.0889,0.1135,0.1396,
Portugal,0.1028,0.1864,0.2293,
Romania,0.0964,0.1107,0.1317,
Slovenia,0.1125,0.1342,0.1638,
Slovakia,0.0849,0.1218,0.1462,
Finland,0.1144,0.1369,0.1698,
Sweden,0.1287,0.1592,0.1990,
United Kingdom,0.1401,0.1927,0.2024,
Iceland,0.1152,0.1175,0.1457,
Liechtenstein,:,:,:,
Norway,0.1382,0.1562,0.1907,
Montenegro,0.0829,0.0848,0.1030,
North Macedonia,0.0667,0.0667,0.0787,
Albania,0.0759,0.0759,0.0910,
Serbia,0.0542,0.0591,0.0709,
Turkey,0.0688,0.0726,0.0857,
Bosnia and Herzegovina,0.0729,0.0744,0.0871,
Kosovo (under United Nations Security Council Resolution 1244/99),0.0579,0.0591,0.0638,
Moldova,0.0960,0.0960,0.1029,
Ukraine,0.0342,0.0342,0.0410,
,,,,
Special value:,,,,
:,not available,,,
,,,,
PRODUCT,Electrical energy,,,
CONSOM,Band DC : 2 500 kWh < Consumption < 5 000 kWh,,,
UNIT,Kilowatt-hour,,,
TIME,2019S1,,,
,,,,
CURRENCY,Euro,Euro,Euro,
GEO/TAX,Excluding taxes and levies,Excluding VAT and other recoverable taxes and levies,All taxes and levies included,
European Union - 28 countries,0.1351,0.1841,0.2147,
"Euro area (EA11-2000, EA12-2006, EA13-2007, EA15-2008, EA16-2010, EA17-2013, EA18-2014, EA19)",0.1396,0.1928,0.2270,
Belgium,0.1965,0.2355,0.2839,
Bulgaria,0.0831,0.0831,0.0997,
Czechia,0.1433,0.1444,0.1748,
Denmark,0.1084,0.2387,0.2984,
Germany (until 1990 former territory of the FRG),0.1473,0.2595,0.3088,
Estonia,0.0982,0.1131,0.1357,
Ireland,0.2027,0.2134,0.2423,
Greece,0.1139,0.1482,0.1650,
Spain,0.1889,0.1986,0.2403,
France,0.1138,0.1508,0.1765,
Croatia,0.1028,0.1169,0.1321,
Italy,0.1432,0.2090,0.2301,
Cyprus,0.1762,0.1867,0.2203,
Latvia,0.1136,0.1347,0.1629,
Lithuania,0.0947,0.1037,0.1255,
Luxembourg,0.1326,0.1666,0.1798,
Hungary,0.0882,0.0882,0.1120,
Malta,0.1228,0.1243,0.1305,
Netherlands,0.1357,0.1708,0.2052,
Austria,0.1316,0.1695,0.2034,
Poland,0.0884,0.1092,0.1343,
Portugal,0.1103,0.1751,0.2154,
Romania,0.0983,0.1141,0.1358,
Slovenia,0.1125,0.1339,0.1634,
Slovakia,0.0962,0.1314,0.1577,
Finland,0.1173,0.1398,0.1734,
Sweden,0.1297,0.1612,0.2015,
United Kingdom,0.1450,0.2021,0.2122,
Iceland,0.1112,0.1134,0.1406,
Liechtenstein,:,:,:,
Norway,0.1360,0.1529,0.1867,
Montenegro,0.0834,0.0850,0.1032,
North Macedonia,:,:,:,
Albania,:,:,:,
Serbia,0.0541,0.0589,0.0706,
Turkey,0.0684,0.0718,0.0847,
Bosnia and Herzegovina,0.0729,0.0746,0.0873,
Kosovo (under United Nations Security Council Resolution 1244/99),0.0537,0.0556,0.0600,
Moldova,0.0936,0.0936,0.0936,
Ukraine,0.0369,0.0369,0.0442,
,,,,
Special value:,,,,
:,not available,,,
1 Electricity prices for household consumers - bi-annual data (from 2007 onwards) [nrg_pc_204]
2
3 Last update 30.10.19
4 Extracted on 14.11.19
5 Source of data Eurostat
6
7 PRODUCT Electrical energy
8 CONSOM Band DC : 2 500 kWh < Consumption < 5 000 kWh
9 UNIT Kilowatt-hour
10 TIME 2018S1
11
12 CURRENCY Euro Euro Euro
13 GEO/TAX Excluding taxes and levies Excluding VAT and other recoverable taxes and levies All taxes and levies included % cost without taxes
14 European Union - 28 countries 0.1285 0.1756 0.2052 0.626218323586745
15 Euro area (EA11-2000, EA12-2006, EA13-2007, EA15-2008, EA16-2010, EA17-2013, EA18-2014, EA19) 0.1331 0.1855 0.2188 0.608318098720293
16 Belgium 0.1903 0.2279 0.2733 0.696304427369191
17 Bulgaria 0.0816 0.0816 0.0979 0.833503575076609
18 Czech Republic 0.1286 0.1298 0.1573 0.817546090273363
19 Denmark 0.1011 0.2501 0.3126 0.32341650671785
20 Germany 0.1379 0.2510 0.2987 0.461667224640107
21 Estonia 0.0989 0.1123 0.1348 0.733679525222552
22 Ireland 0.1846 0.2087 0.2369 0.779231743351625
23 Greece 0.1132 0.1482 0.1672 0.677033492822967
24 Spain 0.1873 0.1969 0.2383 0.785984053713806
25 France 0.1134 0.1492 0.1748 0.648741418764302
26 Croatia 0.1020 0.1160 0.1311 0.778032036613272
27 Italy 0.1285 0.1873 0.2067 0.621673923560716
28 Cyprus 0.1445 0.1606 0.1893 0.763338615953513
29 Latvia 0.1035 0.1266 0.1531 0.676028739386022
30 Lithuania 0.0771 0.0906 0.1097 0.702825888787603
31 Luxembourg 0.1283 0.1547 0.1671 0.767803710353082
32 Hungary 0.0885 0.0885 0.1123 0.78806767586821
33 Malta 0.1209 0.1224 0.1285 0.940856031128405
34 Netherlands 0.1187 0.1410 0.1706 0.6957796014068
35 Austria 0.1232 0.1638 0.1966 0.626653102746694
36 Poland 0.0906 0.1146 0.1410 0.642553191489362
37 Portugal 0.1007 0.1826 0.2246 0.448352626892253
38 Romania 0.0990 0.1120 0.1333 0.742685671417854
39 Slovenia 0.1108 0.1322 0.1613 0.686918784872908
40 Slovakia 0.0942 0.1305 0.1566 0.601532567049808
41 Finland 0.1074 0.1300 0.1612 0.666253101736973
42 Sweden 0.1202 0.1513 0.1891 0.635642517186674
43 United Kingdom 0.1347 0.1797 0.1887 0.713831478537361
44 Iceland 0.1222 0.1246 0.1545 0.790938511326861
45 Liechtenstein : : : #VALUE!
46 Norway 0.1254 0.1434 0.1751 0.716162193032553
47 Montenegro 0.0828 0.0844 0.1024 0.80859375
48 North Macedonia 0.0662 0.0662 0.0781 0.847631241997439
49 Albania : : : #VALUE!
50 Serbia 0.0539 0.0587 0.0705 0.764539007092199
51 Turkey 0.0727 0.0766 0.0904 0.804203539823009
52 Bosnia and Herzegovina 0.0722 0.0738 0.0864 0.835648148148148
53 Kosovo (under United Nations Security Council Resolution 1244/99) 0.0569 0.0586 0.0633 0.898894154818325
54 Moldova 0.1020 0.1020 0.1020 1
55 Ukraine 0.0342 0.0342 0.0410 0.834146341463415
56 0.157271052631579
57 Special value:
58 : not available
59
60 PRODUCT Electrical energy
61 CONSOM Band DC : 2 500 kWh < Consumption < 5 000 kWh
62 UNIT Kilowatt-hour
63 TIME 2018S2
64
65 CURRENCY Euro Euro Euro
66 GEO/TAX Excluding taxes and levies Excluding VAT and other recoverable taxes and levies All taxes and levies included
67 European Union - 28 countries 0.1329 0.1810 0.2113
68 Euro area (EA11-2000, EA12-2006, EA13-2007, EA15-2008, EA16-2010, EA17-2013, EA18-2014, EA19) 0.1376 0.1902 0.2242
69 Belgium 0.1998 0.2429 0.2937
70 Bulgaria 0.0838 0.0838 0.1005
71 Czechia 0.1299 0.1311 0.1586
72 Denmark 0.1116 0.2499 0.3123
73 Germany (until 1990 former territory of the FRG) 0.1378 0.2521 0.3000
74 Estonia 0.1048 0.1182 0.1418
75 Ireland 0.2006 0.2237 0.2539
76 Greece 0.1125 0.1458 0.1646
77 Spain 0.1947 0.2047 0.2477
78 France 0.1168 0.1537 0.1799
79 Croatia 0.1028 0.1169 0.1321
80 Italy 0.1416 0.1964 0.2161
81 Cyprus 0.1745 0.1850 0.2183
82 Latvia 0.1041 0.1249 0.1511
83 Lithuania 0.0771 0.0906 0.1097
84 Luxembourg 0.1302 0.1566 0.1691
85 Hungary 0.0880 0.0880 0.1118
86 Malta 0.1229 0.1244 0.1306
87 Netherlands 0.1212 0.1420 0.1707
88 Austria 0.1265 0.1676 0.2012
89 Poland 0.0889 0.1135 0.1396
90 Portugal 0.1028 0.1864 0.2293
91 Romania 0.0964 0.1107 0.1317
92 Slovenia 0.1125 0.1342 0.1638
93 Slovakia 0.0849 0.1218 0.1462
94 Finland 0.1144 0.1369 0.1698
95 Sweden 0.1287 0.1592 0.1990
96 United Kingdom 0.1401 0.1927 0.2024
97 Iceland 0.1152 0.1175 0.1457
98 Liechtenstein : : :
99 Norway 0.1382 0.1562 0.1907
100 Montenegro 0.0829 0.0848 0.1030
101 North Macedonia 0.0667 0.0667 0.0787
102 Albania 0.0759 0.0759 0.0910
103 Serbia 0.0542 0.0591 0.0709
104 Turkey 0.0688 0.0726 0.0857
105 Bosnia and Herzegovina 0.0729 0.0744 0.0871
106 Kosovo (under United Nations Security Council Resolution 1244/99) 0.0579 0.0591 0.0638
107 Moldova 0.0960 0.0960 0.1029
108 Ukraine 0.0342 0.0342 0.0410
109
110 Special value:
111 : not available
112
113 PRODUCT Electrical energy
114 CONSOM Band DC : 2 500 kWh < Consumption < 5 000 kWh
115 UNIT Kilowatt-hour
116 TIME 2019S1
117
118 CURRENCY Euro Euro Euro
119 GEO/TAX Excluding taxes and levies Excluding VAT and other recoverable taxes and levies All taxes and levies included
120 European Union - 28 countries 0.1351 0.1841 0.2147
121 Euro area (EA11-2000, EA12-2006, EA13-2007, EA15-2008, EA16-2010, EA17-2013, EA18-2014, EA19) 0.1396 0.1928 0.2270
122 Belgium 0.1965 0.2355 0.2839
123 Bulgaria 0.0831 0.0831 0.0997
124 Czechia 0.1433 0.1444 0.1748
125 Denmark 0.1084 0.2387 0.2984
126 Germany (until 1990 former territory of the FRG) 0.1473 0.2595 0.3088
127 Estonia 0.0982 0.1131 0.1357
128 Ireland 0.2027 0.2134 0.2423
129 Greece 0.1139 0.1482 0.1650
130 Spain 0.1889 0.1986 0.2403
131 France 0.1138 0.1508 0.1765
132 Croatia 0.1028 0.1169 0.1321
133 Italy 0.1432 0.2090 0.2301
134 Cyprus 0.1762 0.1867 0.2203
135 Latvia 0.1136 0.1347 0.1629
136 Lithuania 0.0947 0.1037 0.1255
137 Luxembourg 0.1326 0.1666 0.1798
138 Hungary 0.0882 0.0882 0.1120
139 Malta 0.1228 0.1243 0.1305
140 Netherlands 0.1357 0.1708 0.2052
141 Austria 0.1316 0.1695 0.2034
142 Poland 0.0884 0.1092 0.1343
143 Portugal 0.1103 0.1751 0.2154
144 Romania 0.0983 0.1141 0.1358
145 Slovenia 0.1125 0.1339 0.1634
146 Slovakia 0.0962 0.1314 0.1577
147 Finland 0.1173 0.1398 0.1734
148 Sweden 0.1297 0.1612 0.2015
149 United Kingdom 0.1450 0.2021 0.2122
150 Iceland 0.1112 0.1134 0.1406
151 Liechtenstein : : :
152 Norway 0.1360 0.1529 0.1867
153 Montenegro 0.0834 0.0850 0.1032
154 North Macedonia : : :
155 Albania : : :
156 Serbia 0.0541 0.0589 0.0706
157 Turkey 0.0684 0.0718 0.0847
158 Bosnia and Herzegovina 0.0729 0.0746 0.0873
159 Kosovo (under United Nations Security Council Resolution 1244/99) 0.0537 0.0556 0.0600
160 Moldova 0.0936 0.0936 0.0936
161 Ukraine 0.0369 0.0369 0.0442
162
163 Special value:
164 : not available

17
data/retro/floor_area_missing.csv Normal file
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@ -0,0 +1,17 @@
country,sector,estimated,value,source,,comments,population [in Million],
AL,residential,0,64,p.13 1.6 million m² = 2.5% of total floor area,https://www.buildup.eu/sites/default/files/content/sled_albania_residential_building_eng.pdf,,,
AL,services,0,,,,,,
BA,residential,0,125.89,Tabula,https://episcope.eu/building-typology/country/ba/,strong differences ? other source claims more than 300 Million m²,,https://www.buildup.eu/sites/default/files/content/sled_serbia_building_eng.pdf
BA,services,0,,,,,,
RS,residential,0,72.3,Odyssee(2011),https://odyssee.enerdata.net/database/,,,
RS,services,0,,,,,,
MK,residential,0,,"Worldbank p.7 Skopje 75% residential, 25% commercial",http://documents.albankaldawli.org/curated/ar/838951574180734318/pdf/Project-Information-Document-North-Macedonia-Public-Sector-Energy-Efficiency-Project-P149990.pdf,15 % live in illegal constructed buildings ? not part of the statistics,2.1,
MK,services,0,,,,,,
ME,residential,0,19.625,p.13 0.314 million m² = 1.6% of total floor area,buildup.eu/sites/default/files/content/sled_montenegro_building_eng.pdf,Only 50 % of the floor area is heated p.12,,buildup.eu/sites/default/files/content/sled_montenegro_building_eng.pdf
ME,services,0,,,,,,
CH,residential,0,99.45,Odyssee(2015),,,,
CH,services,1,78.1392857142857,p.8 44%floor area is services,https://bta.climate-kic.org/wp-content/uploads/2018/04/171123-CK-BTA-DEF-BMB_SWITZERLAND_.pdf,,,
NO,residential,0,121.55,Odyssee(2015),,,,
NO,services,0,115.21,Odyssee(2015),,,,
PL,residential,0,1028.41,EU Building Database,,,,
PL,services,0,498.84,EU Building Database,,,,
1 country sector estimated value source comments population [in Million]
2 AL residential 0 64 p.13 1.6 million m² = 2.5% of total floor area https://www.buildup.eu/sites/default/files/content/sled_albania_residential_building_eng.pdf
3 AL services 0
4 BA residential 0 125.89 Tabula https://episcope.eu/building-typology/country/ba/ strong differences ? other source claims more than 300 Million m² https://www.buildup.eu/sites/default/files/content/sled_serbia_building_eng.pdf
5 BA services 0
6 RS residential 0 72.3 Odyssee(2011) https://odyssee.enerdata.net/database/
7 RS services 0
8 MK residential 0 Worldbank p.7 Skopje 75% residential, 25% commercial http://documents.albankaldawli.org/curated/ar/838951574180734318/pdf/Project-Information-Document-North-Macedonia-Public-Sector-Energy-Efficiency-Project-P149990.pdf 15 % live in illegal constructed buildings ? not part of the statistics 2.1
9 MK services 0
10 ME residential 0 19.625 p.13 0.314 million m² = 1.6% of total floor area buildup.eu/sites/default/files/content/sled_montenegro_building_eng.pdf Only 50 % of the floor area is heated p.12 buildup.eu/sites/default/files/content/sled_montenegro_building_eng.pdf
11 ME services 0
12 CH residential 0 99.45 Odyssee(2015)
13 CH services 1 78.1392857142857 p.8 44%floor area is services https://bta.climate-kic.org/wp-content/uploads/2018/04/171123-CK-BTA-DEF-BMB_SWITZERLAND_.pdf
14 NO residential 0 121.55 Odyssee(2015)
15 NO services 0 115.21 Odyssee(2015)
16 PL residential 0 1028.41 EU Building Database
17 PL services 0 498.84 EU Building Database

7
data/retro/retro_cost_germany.csv Normal file
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@ -0,0 +1,7 @@
component,cost_fix,cost_var,life_time,comment,additional source
wall,70.34,2.36,40,Agora Energiewende p.110,
floor,39.39,1.3,40,Agora Energiewende p.110,
roof,75.61,1.3,40,Agora Energiewende p.110,https://www.baulinks.de/webplugin/2018/1524.php4
window,nan,nan,35,,
source: p.37 https://www.umweltbundesamt.de/sites/default/files/medien/1410/publikationen/2019-10-29_texte_132-2019_energieaufwand-gebaeudekonzepte.pdf,,,https://www.agora-energiewende.de/en/publications/building-sector-efficiency-a-crucial-component-of-the-energy-transition/,,
,,,p.115,,
1 component cost_fix cost_var life_time comment additional source
2 wall 70.34 2.36 40 Agora Energiewende p.110
3 floor 39.39 1.3 40 Agora Energiewende p.110
4 roof 75.61 1.3 40 Agora Energiewende p.110 https://www.baulinks.de/webplugin/2018/1524.php4
5 window nan nan 35
6 source: p.37 https://www.umweltbundesamt.de/sites/default/files/medien/1410/publikationen/2019-10-29_texte_132-2019_energieaufwand-gebaeudekonzepte.pdf https://www.agora-energiewende.de/en/publications/building-sector-efficiency-a-crucial-component-of-the-energy-transition/
7 p.115

9
data/retro/u_values_poland.csv Normal file
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@ -0,0 +1,9 @@
component,Before 1945,1945 - 1969,1970 - 1979,1980 - 1989,1990 - 1999,2000 - 2010,Post 2010,sector
Walls,1.7,1.4,0.9,0.9,0.6,0.4,1.7,residential
Windows,4.6,3.6,2.6,2.6,2.1,2.1,2.1,residential
Roof,0.8,0.7,0.6,0.6,0.6,0.4,0.33,residential
Floor,1.9,1.4,1.2,1.1,0.9,0.6,0.45,residential
Walls,1.3,1.3,1.3,0.8,0.6,0.6,0.6,services
Windows,4.7,3.7,2.6,2.6,2.3,2.1,2.1,services
Roof,1,0.9,0.7,0.5,0.3,0.3,0.3,services
Floor,1.6,1.2,1.2,1.1,1,0.7,0.7,services
1 component Before 1945 1945 - 1969 1970 - 1979 1980 - 1989 1990 - 1999 2000 - 2010 Post 2010 sector
2 Walls 1.7 1.4 0.9 0.9 0.6 0.4 1.7 residential
3 Windows 4.6 3.6 2.6 2.6 2.1 2.1 2.1 residential
4 Roof 0.8 0.7 0.6 0.6 0.6 0.4 0.33 residential
5 Floor 1.9 1.4 1.2 1.1 0.9 0.6 0.45 residential
6 Walls 1.3 1.3 1.3 0.8 0.6 0.6 0.6 services
7 Windows 4.7 3.7 2.6 2.6 2.3 2.1 2.1 services
8 Roof 1 0.9 0.7 0.5 0.3 0.3 0.3 services
9 Floor 1.6 1.2 1.2 1.1 1 0.7 0.7 services

8
data/retro/window_assumptions.csv Normal file
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@ -0,0 +1,8 @@
strength,u_value,cost,u_limit,comment
[m],[W/m^2K],EUR/m^2,[W/m^2K],
0.076,1.34,180.08,3.5,Double-glazing
0.197,0.8,225,1.3,Triple-glazing
,,,,
"source: https://www.agora-energiewende.de/en/publications/building-sector-efficiency-a-crucial-component-of-the-energy-transition/
p.115
",,,,
1 strength u_value cost u_limit comment
2 [m] [W/m^2K] EUR/m^2 [W/m^2K]
3 0.076 1.34 180.08 3.5 Double-glazing
4 0.197 0.8 225 1.3 Triple-glazing
5
6 source: https://www.agora-energiewende.de/en/publications/building-sector-efficiency-a-crucial-component-of-the-energy-transition/ p.115

109
scripts/prepare_sector_network.py
View File

@ -1284,6 +1284,113 @@ def add_heat(network):
lifetime=costs.at['micro CHP','lifetime'])
if options['retrofitting']['retro_endogen']:
print("adding retrofitting endogenously")
# resample heat demand to not overestimate retrofitting
heat_demand_r = heat_demand.resample(opts[1]).mean()
# get space heat demand
space_heat_demand = pd.concat([heat_demand_r["residential space"],
heat_demand_r["services space"]],
axis=1)
# costs and floor area per country
retro_cost = pd.read_csv(snakemake.input.retro_cost_energy,
index_col=[0, 1], skipinitialspace=True,
header=[0, 1])
floor_area = pd.read_csv(snakemake.input.floor_area, index_col=[0, 1])
index = pd.MultiIndex.from_product([pop_layout.index, sectors + ["tot"]])
square_metres = pd.DataFrame(np.nan, index=index, columns=["m²"])
# weighting for share of space heat demand
w_space = {}
for sector in sectors:
w_space[sector] = heat_demand_r[sector + " space"] / \
(heat_demand_r[sector + " space"] + heat_demand_r[sector + " water"])
w_space["tot"] = ((heat_demand_r["services space"] +
heat_demand_r["residential space"]) /
heat_demand_r.groupby(level=[1], axis=1).sum())
network.add("Carrier", "retrofitting")
for node in list(heat_demand.columns.levels[1]):
retro_nodes = pd.Index([node])
space_heat_demand_node = space_heat_demand[retro_nodes]
space_heat_demand_node.columns = sectors
ct = node[:2]
square_metres = (pop_layout.loc[node].fraction
* floor_area.loc[ct, "value"] * 10**6)
for carrier in heat_systems:
name = node + " " + carrier + " heat"
if (name in list(network.loads_t.p_set.columns)):
# if "urban central" in carrier:
# f = dist_fraction[node]
# elif "urban decentral" in carrier:
# f = urban_fraction[node] - dist_fraction[node]
if "urban" in carrier:
f = urban_fraction[node]
else:
f = 1 - urban_fraction[node]
if f == 0:
continue
if "residential" in carrier:
sec = "residential"
elif "services" in carrier:
sec = "services"
else:
sec = "tot"
square_metres_c = (square_metres.loc[sec] * f)
# weighting instead of taking space heat demand to
# allow simulatounsly exogenous and optimised
# retrofitting
demand = (network.loads_t.p_set[name].resample(opts[1])
.mean())
space_heat_demand_c = demand * w_space[sec][node]
space_peak_c = space_heat_demand_c.max()
if space_peak_c == 0:
continue
space_pu_c = (space_heat_demand_c /
space_peak_c).to_frame(name=node)
dE = retro_cost.loc[(ct, sec), ("dE")]
dE_diff = abs(dE.diff()).fillna(1-dE.iloc[0])
cost_c = retro_cost.loc[(ct, sec), ("cost")]
capital_cost = cost_c * square_metres_c / \
((1 - dE) * space_peak_c)
steps = retro_cost.cost.columns
if (capital_cost.diff() < 0).sum():
print(
"warning, costs are not linear for ", ct, " ", sec)
s = capital_cost[(capital_cost.diff() < 0)].index
steps = steps.drop(s)
space_pu_c = (space_pu_c.reindex(index=heat_demand.index)
.fillna(method="ffill"))
for strength in steps:
network.madd(
'Generator',
retro_nodes,
suffix=' retrofitting ' + strength + " " + carrier,
bus=node + " " + carrier + " heat",
strength=' retrofitting ' + strength,
type=carrier,
carrier="retrofitting",
p_nom_extendable=True,
p_nom_max=dE_diff[strength] * space_peak_c,
dE=dE_diff[strength],
p_max_pu=space_pu_c,
p_min_pu=space_pu_c,
country=ct,
capital_cost=capital_cost[strength] * options['retrofitting']['cost_factor'])
def create_nodes_for_heat_sector():
sectors = ["residential", "services"]
# stores the different groups of nodes
@ -1746,6 +1853,8 @@ if __name__ == "__main__":
solar_thermal_urban="resources/solar_thermal_urban_{network}_s{simpl}_{clusters}.nc",
traffic_data = "data/emobility/",
solar_thermal_rural="resources/solar_thermal_rural_{network}_s{simpl}_{clusters}.nc",
retro_cost_energy = "resources/retro_cost_{network}_s{simpl}_{clusters}.csv",
floor_area = "resources/floor_area_{network}_s{simpl}_{clusters}.csv"
),
output=['pypsa-eur-sec/results/test/prenetworks/{network}_s{simpl}_{clusters}_lv{lv}__{sector_opts}_{co2_budget_name}_{planning_horizons}.nc']
)