Merge branch 'master' into multiyear

This commit is contained in:
Fabian Neumann 2024-03-13 09:13:31 +01:00
commit 7fa6811760
15 changed files with 129 additions and 79 deletions

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@ -7,13 +7,11 @@ from shutil import copyfile, move, rmtree
from pathlib import Path
import yaml
from snakemake.remote.HTTP import RemoteProvider as HTTPRemoteProvider
from snakemake.utils import min_version
from scripts._helpers import path_provider
min_version("8.5")
min_version("7.7")
HTTP = HTTPRemoteProvider()
from scripts._helpers import path_provider
default_files = {
"config/config.default.yaml": "config/config.yaml",

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@ -820,8 +820,8 @@ solving:
cbc-default: {} # Used in CI
glpk-default: {} # Used in CI
mem: 30000 #memory in MB; 20 GB enough for 50+B+I+H2; 100 GB for 181+B+I+H2
walltime: "12:00:00"
mem_mb: 30000 #memory in MB; 20 GB enough for 50+B+I+H2; 100 GB for 181+B+I+H2
runtime: 6h #runtime in humanfriendly style https://humanfriendly.readthedocs.io/en/latest/
# docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#plotting

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@ -2,36 +2,36 @@
1266,Khmelnitskiy,Nuclear,,PP,UA,1901.8916595755832,,0.0,0.0,0.0,0.0,1988.0,2005.0,,,50.3023,26.6466,[nan],"{'GEO': ['GEO3842'], 'GPD': ['WRI1005111'], 'CARMA': ['CARMA22000']}"
1268,Kaniv,Hydro,Reservoir,PP,UA,452.1656050955414,,0.0,0.0,0.0,0.0,1972.0,2003.0,,,49.76653,31.47165,[nan],"{'GEO': ['GEO43017'], 'GPD': ['WRI1005122'], 'CARMA': ['CARMA21140']}"
1269,Kahovska kakhovka,Hydro,Reservoir,PP,UA,352.45222929936307,,0.0,0.0,0.0,0.0,1955.0,1956.0,,,46.77858,33.36965,[nan],"{'GEO': ['GEO43018'], 'GPD': ['WRI1005118'], 'CARMA': ['CARMA20855']}"
1347,Kharkiv,Natural Gas,Steam Turbine,CHP,UA,494.94274967602314,,0.0,0.0,0.0,0.0,1979.0,1980.0,,,49.9719,36107,[nan],"{'GEO': ['GEO43027'], 'GPD': ['WRI1005126'], 'CARMA': ['CARMA21972']}"
1347,Kharkiv,Natural Gas,Steam Turbine,CHP,UA,494.94274967602314,,0.0,0.0,0.0,0.0,1979.0,1980.0,,,49.9719,36.107,[nan],"{'GEO': ['GEO43027'], 'GPD': ['WRI1005126'], 'CARMA': ['CARMA21972']}"
1348,Kremenchuk,Hydro,Reservoir,PP,UA,617.0382165605096,,0.0,0.0,0.0,0.0,1959.0,1960.0,,,49.07759,33.2505,[nan],"{'GEO': ['GEO43019'], 'GPD': ['WRI1005121'], 'CARMA': ['CARMA23072']}"
1377,Krivorozhskaya,Hard Coal,Steam Turbine,PP,UA,2600.0164509342876,,0.0,0.0,0.0,0.0,1965.0,1992.0,,,47.5432,33.6583,[nan],"{'GEO': ['GEO42989'], 'GPD': ['WRI1005100'], 'CARMA': ['CARMA23176']}"
1407,Zmiyevskaya zmiivskaya,Hard Coal,Steam Turbine,PP,UA,2028.3816283884514,,0.0,0.0,0.0,0.0,1960.0,2005.0,,,49.5852,36.5231,[nan],"{'GEO': ['GEO42999'], 'GPD': ['WRI1005103'], 'CARMA': ['CARMA51042']}"
1408,Pridneprovskaya,Hard Coal,Steam Turbine,CHP,UA,1627.3152609570984,,0.0,0.0,0.0,0.0,1959.0,1966.0,,,48.4051,35.1131,[nan],"{'GEO': ['GEO42990'], 'GPD': ['WRI1005102'], 'CARMA': ['CARMA35874']}"
1409,Kurakhovskaya,Hard Coal,Steam Turbine,PP,UA,1371.0015824607397,,0.0,0.0,0.0,0.0,1972.0,2003.0,,,47.9944,37.24022,[nan],"{'GEO': ['GEO42994'], 'GPD': ['WRI1005104'], 'CARMA': ['CARMA23339']}"
1410,Dobrotvorsky,Hard Coal,Steam Turbine,PP,UA,553.1949895604868,,0.0,0.0,0.0,0.0,1960.0,1964.0,,,50.2133,24375,[nan],"{'GEO': ['GEO42992'], 'GPD': ['WRI1005096'], 'CARMA': ['CARMA10971']}"
1410,Dobrotvorsky,Hard Coal,Steam Turbine,PP,UA,553.1949895604868,,0.0,0.0,0.0,0.0,1960.0,1964.0,,,50.2133,24.375,[nan],"{'GEO': ['GEO42992'], 'GPD': ['WRI1005096'], 'CARMA': ['CARMA10971']}"
1422,Zuyevskaya,Hard Coal,Steam Turbine,PP,UA,1147.87960333801,,0.0,0.0,0.0,0.0,1982.0,2007.0,,,48.0331,38.28615,[nan],"{'GEO': ['GEO42995'], 'GPD': ['WRI1005106'], 'CARMA': ['CARMA51083']}"
1423,Zaporozhye,Nuclear,,PP,UA,5705.67497872675,,0.0,0.0,0.0,0.0,1985.0,1996.0,,,47.5119,34.5863,[nan],"{'GEO': ['GEO6207'], 'GPD': ['WRI1005114'], 'CARMA': ['CARMA50875']}"
1424,Trypilska,Hard Coal,Steam Turbine,PP,UA,1659.5849686814602,,0.0,0.0,0.0,0.0,1969.0,1972.0,,,50.1344,30.7468,[nan],"{'GEO': ['GEO43000'], 'GPD': ['WRI1005099'], 'CARMA': ['CARMA46410']}"
1425,Tashlyk,Hydro,Pumped Storage,Store,UA,285.55968954109585,,0.0,0.0,0.0,0.0,2006.0,2007.0,,,47.7968,31.1811,[nan],"{'GEO': ['GEO43025'], 'GPD': ['WRI1005117'], 'CARMA': ['CARMA44696']}"
1426,Starobeshivska,Hard Coal,Steam Turbine,PP,UA,1636.5351774497733,,0.0,0.0,0.0,0.0,1961.0,1967.0,,,47.7997,38.00612,[nan],"{'GEO': ['GEO43003'], 'GPD': ['WRI1005105'], 'CARMA': ['CARMA43083']}"
1427,South,Nuclear,,PP,UA,2852.837489363375,,0.0,0.0,0.0,0.0,1983.0,1989.0,,,47812,31.22,[nan],"{'GEO': ['GEO5475'], 'GPD': ['WRI1005113'], 'CARMA': ['CARMA42555']}"
1427,South,Nuclear,,PP,UA,2852.837489363375,,0.0,0.0,0.0,0.0,1983.0,1989.0,,,47.812,31.22,[nan],"{'GEO': ['GEO5475'], 'GPD': ['WRI1005113'], 'CARMA': ['CARMA42555']}"
1428,Rovno rivne,Nuclear,,PP,UA,2695.931427448389,,0.0,0.0,0.0,0.0,1981.0,2006.0,,,51.3245,25.89744,[nan],"{'GEO': ['GEO5174'], 'GPD': ['WRI1005112'], 'CARMA': ['CARMA38114']}"
1429,Ladyzhinska,Hard Coal,Steam Turbine,PP,UA,1659.5849686814602,,0.0,0.0,0.0,0.0,1970.0,1971.0,,,48706,29.2202,[nan],"{'GEO': ['GEO42993'], 'GPD': ['WRI1005098'], 'CARMA': ['CARMA24024']}"
1430,Kiev,Hydro,Pumped Storage,PP,UA,635.8694635681177,,0.0,0.0,0.0,0.0,1964.0,1972.0,,,50.5998,30501,"[nan, nan]","{'GEO': ['GEO43024', 'GEO43023'], 'GPD': ['WRI1005123', 'WRI1005124'], 'CARMA': ['CARMA23516', 'CARMA23517']}"
1429,Ladyzhinska,Hard Coal,Steam Turbine,PP,UA,1659.5849686814602,,0.0,0.0,0.0,0.0,1970.0,1971.0,,,48.706,29.2202,[nan],"{'GEO': ['GEO42993'], 'GPD': ['WRI1005098'], 'CARMA': ['CARMA24024']}"
1430,Kiev,Hydro,Pumped Storage,PP,UA,635.8694635681177,,0.0,0.0,0.0,0.0,1964.0,1972.0,,,50.5998,30.501,"[nan, nan]","{'GEO': ['GEO43024', 'GEO43023'], 'GPD': ['WRI1005123', 'WRI1005124'], 'CARMA': ['CARMA23516', 'CARMA23517']}"
2450,Cet chisinau,Natural Gas,,PP,MD,306.0,,0.0,0.0,0.0,0.0,,,,,47.027550000000005,28.8801,"[nan, nan]","{'GPD': ['WRI1002985', 'WRI1002984'], 'CARMA': ['CARMA8450', 'CARMA8451']}"
2460,Hydropower che costesti,Hydro,,PP,MD,16.0,,0.0,0.0,0.0,0.0,1978.0,,,,47.8381,27.2246,[nan],"{'GPD': ['WRI1002987'], 'CARMA': ['CARMA9496']}"
2465,Moldavskaya gres,Hard Coal,,PP,MD,2520.0,,0.0,0.0,0.0,0.0,,,,,46.6292,29.9407,[nan],"{'GPD': ['WRI1002989'], 'CARMA': ['CARMA28979']}"
2466,Hydropower dubasari,Hydro,,PP,MD,48.0,,0.0,0.0,0.0,0.0,,,,,47.2778,29123,[nan],"{'GPD': ['WRI1002988'], 'CARMA': ['CARMA11384']}"
2466,Hydropower dubasari,Hydro,,PP,MD,48.0,,0.0,0.0,0.0,0.0,,,,,47.2778,29.123,[nan],"{'GPD': ['WRI1002988'], 'CARMA': ['CARMA11384']}"
2676,Cet nord balti,Natural Gas,,PP,MD,24.0,,0.0,0.0,0.0,0.0,,,,,47.7492,27.8938,[nan],"{'GPD': ['WRI1002986'], 'CARMA': ['CARMA3071']}"
2699,Dniprodzerzhynsk,Hydro,Reservoir,PP,UA,360.3503184713376,,0.0,0.0,0.0,0.0,1963.0,1964.0,,,48.5485,34.541015,[nan],"{'GEO': ['GEO43020'], 'GPD': ['WRI1005119']}"
2707,Burshtynska tes,Hard Coal,Steam Turbine,PP,UA,2212.779958241947,,0.0,0.0,0.0,0.0,1965.0,1984.0,,,49.21038,24.66654,[nan],"{'GEO': ['GEO42991'], 'GPD': ['WRI1005097']}"
2708,Danipro dnieper,Hydro,Reservoir,PP,UA,1484.8407643312103,,0.0,0.0,0.0,0.0,1932.0,1947.0,,,47.86944,35.08611,[nan],"{'GEO': ['GEO43016'], 'GPD': ['WRI1005120']}"
2709,Dniester,Hydro,Pumped Storage,Store,UA,612.7241020616891,,0.0,0.0,0.0,0.0,2009.0,2011.0,,,48.51361,27.47333,[nan],"{'GEO': ['GEO43022'], 'GPD': ['WRI1005116', 'WRI1005115']}"
2710,Kiev,Natural Gas,Steam Turbine,CHP,UA,458.2803237740955,,0.0,0.0,0.0,0.0,1982.0,1984.0,,,50532,30.6625,[nan],"{'GEO': ['GEO42998'], 'GPD': ['WRI1005125']}"
2710,Kiev,Natural Gas,Steam Turbine,CHP,UA,458.2803237740955,,0.0,0.0,0.0,0.0,1982.0,1984.0,,,50.532,30.6625,[nan],"{'GEO': ['GEO42998'], 'GPD': ['WRI1005125']}"
2712,Luganskaya,Hard Coal,Steam Turbine,PP,UA,1060.2903966575996,,0.0,0.0,0.0,0.0,1962.0,1969.0,,,48.74781,39.2624,[nan],"{'GEO': ['GEO42996'], 'GPD': ['WRI1005110']}"
2713,Slavyanskaya,Hard Coal,Steam Turbine,PP,UA,737.5933194139823,,0.0,0.0,0.0,0.0,1971.0,1971.0,,,48872,37.76567,[nan],"{'GEO': ['GEO43002'], 'GPD': ['WRI1005109']}"
2713,Slavyanskaya,Hard Coal,Steam Turbine,PP,UA,737.5933194139823,,0.0,0.0,0.0,0.0,1971.0,1971.0,,,48.872,37.76567,[nan],"{'GEO': ['GEO43002'], 'GPD': ['WRI1005109']}"
2714,Vuhlehirska uglegorskaya,Hard Coal,Steam Turbine,PP,UA,3319.1699373629203,,0.0,0.0,0.0,0.0,1972.0,1977.0,,,48.4633,38.20328,[nan],"{'GEO': ['GEO43001'], 'GPD': ['WRI1005107']}"
2715,Zaporiska,Hard Coal,Steam Turbine,PP,UA,3319.1699373629203,,0.0,0.0,0.0,0.0,1972.0,1977.0,,,47.5089,34.6253,[nan],"{'GEO': ['GEO42988'], 'GPD': ['WRI1005101']}"
3678,Mironovskaya,Hard Coal,,PP,UA,815.0,,0.0,0.0,0.0,0.0,,,,,48.3407,38.4049,[nan],"{'GPD': ['WRI1005108'], 'CARMA': ['CARMA28679']}"
3679,Kramatorskaya,Hard Coal,,PP,UA,120.0,,0.0,0.0,0.0,0.0,1974.0,,,,48.7477,37.5723,[nan],"{'GPD': ['WRI1075856'], 'CARMA': ['CARMA54560']}"
3680,Chernihiv,Hard Coal,,PP,UA,200.0,,0.0,0.0,0.0,0.0,1968.0,,,,51455,31.2602,[nan],"{'GPD': ['WRI1075853'], 'CARMA': ['CARMA8190']}"
3680,Chernihiv,Hard Coal,,PP,UA,200.0,,0.0,0.0,0.0,0.0,1968.0,,,,51.455,31.2602,[nan],"{'GPD': ['WRI1075853'], 'CARMA': ['CARMA8190']}"

1 Name Fueltype Technology Set Country Capacity Efficiency Duration Volume_Mm3 DamHeight_m StorageCapacity_MWh DateIn DateRetrofit DateMothball DateOut lat lon EIC projectID
2 1266 Khmelnitskiy Nuclear PP UA 1901.8916595755832 0.0 0.0 0.0 0.0 1988.0 2005.0 50.3023 26.6466 [nan] {'GEO': ['GEO3842'], 'GPD': ['WRI1005111'], 'CARMA': ['CARMA22000']}
3 1268 Kaniv Hydro Reservoir PP UA 452.1656050955414 0.0 0.0 0.0 0.0 1972.0 2003.0 49.76653 31.47165 [nan] {'GEO': ['GEO43017'], 'GPD': ['WRI1005122'], 'CARMA': ['CARMA21140']}
4 1269 Kahovska kakhovka Hydro Reservoir PP UA 352.45222929936307 0.0 0.0 0.0 0.0 1955.0 1956.0 46.77858 33.36965 [nan] {'GEO': ['GEO43018'], 'GPD': ['WRI1005118'], 'CARMA': ['CARMA20855']}
5 1347 Kharkiv Natural Gas Steam Turbine CHP UA 494.94274967602314 0.0 0.0 0.0 0.0 1979.0 1980.0 49.9719 36107 36.107 [nan] {'GEO': ['GEO43027'], 'GPD': ['WRI1005126'], 'CARMA': ['CARMA21972']}
6 1348 Kremenchuk Hydro Reservoir PP UA 617.0382165605096 0.0 0.0 0.0 0.0 1959.0 1960.0 49.07759 33.2505 [nan] {'GEO': ['GEO43019'], 'GPD': ['WRI1005121'], 'CARMA': ['CARMA23072']}
7 1377 Krivorozhskaya Hard Coal Steam Turbine PP UA 2600.0164509342876 0.0 0.0 0.0 0.0 1965.0 1992.0 47.5432 33.6583 [nan] {'GEO': ['GEO42989'], 'GPD': ['WRI1005100'], 'CARMA': ['CARMA23176']}
8 1407 Zmiyevskaya zmiivskaya Hard Coal Steam Turbine PP UA 2028.3816283884514 0.0 0.0 0.0 0.0 1960.0 2005.0 49.5852 36.5231 [nan] {'GEO': ['GEO42999'], 'GPD': ['WRI1005103'], 'CARMA': ['CARMA51042']}
9 1408 Pridneprovskaya Hard Coal Steam Turbine CHP UA 1627.3152609570984 0.0 0.0 0.0 0.0 1959.0 1966.0 48.4051 35.1131 [nan] {'GEO': ['GEO42990'], 'GPD': ['WRI1005102'], 'CARMA': ['CARMA35874']}
10 1409 Kurakhovskaya Hard Coal Steam Turbine PP UA 1371.0015824607397 0.0 0.0 0.0 0.0 1972.0 2003.0 47.9944 37.24022 [nan] {'GEO': ['GEO42994'], 'GPD': ['WRI1005104'], 'CARMA': ['CARMA23339']}
11 1410 Dobrotvorsky Hard Coal Steam Turbine PP UA 553.1949895604868 0.0 0.0 0.0 0.0 1960.0 1964.0 50.2133 24375 24.375 [nan] {'GEO': ['GEO42992'], 'GPD': ['WRI1005096'], 'CARMA': ['CARMA10971']}
12 1422 Zuyevskaya Hard Coal Steam Turbine PP UA 1147.87960333801 0.0 0.0 0.0 0.0 1982.0 2007.0 48.0331 38.28615 [nan] {'GEO': ['GEO42995'], 'GPD': ['WRI1005106'], 'CARMA': ['CARMA51083']}
13 1423 Zaporozhye Nuclear PP UA 5705.67497872675 0.0 0.0 0.0 0.0 1985.0 1996.0 47.5119 34.5863 [nan] {'GEO': ['GEO6207'], 'GPD': ['WRI1005114'], 'CARMA': ['CARMA50875']}
14 1424 Trypilska Hard Coal Steam Turbine PP UA 1659.5849686814602 0.0 0.0 0.0 0.0 1969.0 1972.0 50.1344 30.7468 [nan] {'GEO': ['GEO43000'], 'GPD': ['WRI1005099'], 'CARMA': ['CARMA46410']}
15 1425 Tashlyk Hydro Pumped Storage Store UA 285.55968954109585 0.0 0.0 0.0 0.0 2006.0 2007.0 47.7968 31.1811 [nan] {'GEO': ['GEO43025'], 'GPD': ['WRI1005117'], 'CARMA': ['CARMA44696']}
16 1426 Starobeshivska Hard Coal Steam Turbine PP UA 1636.5351774497733 0.0 0.0 0.0 0.0 1961.0 1967.0 47.7997 38.00612 [nan] {'GEO': ['GEO43003'], 'GPD': ['WRI1005105'], 'CARMA': ['CARMA43083']}
17 1427 South Nuclear PP UA 2852.837489363375 0.0 0.0 0.0 0.0 1983.0 1989.0 47812 47.812 31.22 [nan] {'GEO': ['GEO5475'], 'GPD': ['WRI1005113'], 'CARMA': ['CARMA42555']}
18 1428 Rovno rivne Nuclear PP UA 2695.931427448389 0.0 0.0 0.0 0.0 1981.0 2006.0 51.3245 25.89744 [nan] {'GEO': ['GEO5174'], 'GPD': ['WRI1005112'], 'CARMA': ['CARMA38114']}
19 1429 Ladyzhinska Hard Coal Steam Turbine PP UA 1659.5849686814602 0.0 0.0 0.0 0.0 1970.0 1971.0 48706 48.706 29.2202 [nan] {'GEO': ['GEO42993'], 'GPD': ['WRI1005098'], 'CARMA': ['CARMA24024']}
20 1430 Kiev Hydro Pumped Storage PP UA 635.8694635681177 0.0 0.0 0.0 0.0 1964.0 1972.0 50.5998 30501 30.501 [nan, nan] {'GEO': ['GEO43024', 'GEO43023'], 'GPD': ['WRI1005123', 'WRI1005124'], 'CARMA': ['CARMA23516', 'CARMA23517']}
21 2450 Cet chisinau Natural Gas PP MD 306.0 0.0 0.0 0.0 0.0 47.027550000000005 28.8801 [nan, nan] {'GPD': ['WRI1002985', 'WRI1002984'], 'CARMA': ['CARMA8450', 'CARMA8451']}
22 2460 Hydropower che costesti Hydro PP MD 16.0 0.0 0.0 0.0 0.0 1978.0 47.8381 27.2246 [nan] {'GPD': ['WRI1002987'], 'CARMA': ['CARMA9496']}
23 2465 Moldavskaya gres Hard Coal PP MD 2520.0 0.0 0.0 0.0 0.0 46.6292 29.9407 [nan] {'GPD': ['WRI1002989'], 'CARMA': ['CARMA28979']}
24 2466 Hydropower dubasari Hydro PP MD 48.0 0.0 0.0 0.0 0.0 47.2778 29123 29.123 [nan] {'GPD': ['WRI1002988'], 'CARMA': ['CARMA11384']}
25 2676 Cet nord balti Natural Gas PP MD 24.0 0.0 0.0 0.0 0.0 47.7492 27.8938 [nan] {'GPD': ['WRI1002986'], 'CARMA': ['CARMA3071']}
26 2699 Dniprodzerzhynsk Hydro Reservoir PP UA 360.3503184713376 0.0 0.0 0.0 0.0 1963.0 1964.0 48.5485 34.541015 [nan] {'GEO': ['GEO43020'], 'GPD': ['WRI1005119']}
27 2707 Burshtynska tes Hard Coal Steam Turbine PP UA 2212.779958241947 0.0 0.0 0.0 0.0 1965.0 1984.0 49.21038 24.66654 [nan] {'GEO': ['GEO42991'], 'GPD': ['WRI1005097']}
28 2708 Danipro dnieper Hydro Reservoir PP UA 1484.8407643312103 0.0 0.0 0.0 0.0 1932.0 1947.0 47.86944 35.08611 [nan] {'GEO': ['GEO43016'], 'GPD': ['WRI1005120']}
29 2709 Dniester Hydro Pumped Storage Store UA 612.7241020616891 0.0 0.0 0.0 0.0 2009.0 2011.0 48.51361 27.47333 [nan] {'GEO': ['GEO43022'], 'GPD': ['WRI1005116', 'WRI1005115']}
30 2710 Kiev Natural Gas Steam Turbine CHP UA 458.2803237740955 0.0 0.0 0.0 0.0 1982.0 1984.0 50532 50.532 30.6625 [nan] {'GEO': ['GEO42998'], 'GPD': ['WRI1005125']}
31 2712 Luganskaya Hard Coal Steam Turbine PP UA 1060.2903966575996 0.0 0.0 0.0 0.0 1962.0 1969.0 48.74781 39.2624 [nan] {'GEO': ['GEO42996'], 'GPD': ['WRI1005110']}
32 2713 Slavyanskaya Hard Coal Steam Turbine PP UA 737.5933194139823 0.0 0.0 0.0 0.0 1971.0 1971.0 48872 48.872 37.76567 [nan] {'GEO': ['GEO43002'], 'GPD': ['WRI1005109']}
33 2714 Vuhlehirska uglegorskaya Hard Coal Steam Turbine PP UA 3319.1699373629203 0.0 0.0 0.0 0.0 1972.0 1977.0 48.4633 38.20328 [nan] {'GEO': ['GEO43001'], 'GPD': ['WRI1005107']}
34 2715 Zaporiska Hard Coal Steam Turbine PP UA 3319.1699373629203 0.0 0.0 0.0 0.0 1972.0 1977.0 47.5089 34.6253 [nan] {'GEO': ['GEO42988'], 'GPD': ['WRI1005101']}
35 3678 Mironovskaya Hard Coal PP UA 815.0 0.0 0.0 0.0 0.0 48.3407 38.4049 [nan] {'GPD': ['WRI1005108'], 'CARMA': ['CARMA28679']}
36 3679 Kramatorskaya Hard Coal PP UA 120.0 0.0 0.0 0.0 0.0 1974.0 48.7477 37.5723 [nan] {'GPD': ['WRI1075856'], 'CARMA': ['CARMA54560']}
37 3680 Chernihiv Hard Coal PP UA 200.0 0.0 0.0 0.0 0.0 1968.0 51455 51.455 31.2602 [nan] {'GPD': ['WRI1075853'], 'CARMA': ['CARMA8190']}

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@ -10,6 +10,11 @@ Release Notes
Upcoming Release
================
* Upgrade to Snakemake v8.5+. This version is the new minimum version required.
To upgrade an existing environment, run ``conda install -c bioconda
snakemake-minimal">=8.5"`` and ``pip install snakemake-storage-plugin-http``
(https://github.com/PyPSA/pypsa-eur/pull/825).
* Corrected a bug leading to power plants operating after their DateOut
(https://github.com/PyPSA/pypsa-eur/pull/958). Added additional grouping years
before 1980.
@ -99,6 +104,8 @@ Upcoming Release
* Bugfix: allow modelling sector-coupled landlocked regions. (Fixed handling of offshore wind.)
* Adapt the disabling of transmission expansion in myopic foresight optimisations when limit is already reached to also handle cost limits.
PyPSA-Eur 0.10.0 (19th February 2024)
=====================================

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@ -20,8 +20,7 @@ dependencies:
- openpyxl!=3.1.1
- pycountry
- seaborn
# snakemake 8 introduced a number of breaking changes which the workflow has yet to be made compatible with
- snakemake-minimal>=7.7.0,<8.0.0
- snakemake-minimal>=8.5
- memory_profiler
- yaml
- pytables
@ -61,4 +60,7 @@ dependencies:
- pip:
- tsam>=2.3.1
- snakemake-storage-plugin-http
- snakemake-executor-plugin-slurm
- snakemake-executor-plugin-cluster-generic
- highspy

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@ -8,6 +8,11 @@ channels:
- bioconda
dependencies:
- python>=3.8
- snakemake-minimal>=7.7.0,<8.0.0
- pip
- snakemake-minimal>=8.5
- pandas>=2.1
- tqdm
- pip:
- snakemake-storage-plugin-http
- snakemake-executor-plugin-slurm
- snakemake-executor-plugin-cluster-generic

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@ -93,7 +93,7 @@ rule build_gas_network:
rule build_gas_input_locations:
input:
gem=HTTP.remote(
gem=storage(
"https://globalenergymonitor.org/wp-content/uploads/2023/07/Europe-Gas-Tracker-2023-03-v3.xlsx",
keep_local=True,
),
@ -333,7 +333,7 @@ rule build_biomass_potentials:
params:
biomass=config_provider("biomass"),
input:
enspreso_biomass=HTTP.remote(
enspreso_biomass=storage(
"https://zenodo.org/records/10356004/files/ENSPRESO_BIOMASS.xlsx",
keep_local=True,
),
@ -365,8 +365,8 @@ rule build_biomass_potentials:
rule build_biomass_transport_costs:
input:
transport_cost_data=HTTP.remote(
"publications.jrc.ec.europa.eu/repository/bitstream/JRC98626/biomass potentials in europe_web rev.pdf",
transport_cost_data=storage(
"https://publications.jrc.ec.europa.eu/repository/bitstream/JRC98626/biomass potentials in europe_web rev.pdf",
keep_local=True,
),
output:
@ -390,7 +390,7 @@ rule build_sequestration_potentials:
"sector", "regional_co2_sequestration_potential"
),
input:
sequestration_potential=HTTP.remote(
sequestration_potential=storage(
"https://raw.githubusercontent.com/ericzhou571/Co2Storage/main/resources/complete_map_2020_unit_Mt.geojson",
keep_local=True,
),

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@ -64,9 +64,8 @@ if config["enable"]["retrieve"] and config["enable"].get("retrieve_cutout", True
rule retrieve_cutout:
input:
HTTP.remote(
"zenodo.org/record/6382570/files/{cutout}.nc",
static=True,
storage(
"https://zenodo.org/record/6382570/files/{cutout}.nc",
),
output:
protected("cutouts/" + CDIR + "{cutout}.nc"),
@ -104,10 +103,9 @@ if config["enable"]["retrieve"] and config["enable"].get(
rule retrieve_natura_raster:
input:
HTTP.remote(
"zenodo.org/record/4706686/files/natura.tiff",
storage(
"https://zenodo.org/record/4706686/files/natura.tiff",
keep_local=True,
static=True,
),
output:
resources("natura.tiff"),
@ -221,10 +219,9 @@ if config["enable"]["retrieve"]:
rule retrieve_ship_raster:
input:
HTTP.remote(
storage(
"https://zenodo.org/record/6953563/files/shipdensity_global.zip",
keep_local=True,
static=True,
),
output:
protected("data/shipdensity_global.zip"),
@ -244,9 +241,8 @@ if config["enable"]["retrieve"]:
# Website: https://land.copernicus.eu/global/products/lc
rule download_copernicus_land_cover:
input:
HTTP.remote(
"zenodo.org/record/3939050/files/PROBAV_LC100_global_v3.0.1_2019-nrt_Discrete-Classification-map_EPSG-4326.tif",
static=True,
storage(
"https://zenodo.org/record/3939050/files/PROBAV_LC100_global_v3.0.1_2019-nrt_Discrete-Classification-map_EPSG-4326.tif",
),
output:
"data/Copernicus_LC100_global_v3.0.1_2019-nrt_Discrete-Classification-map_EPSG-4326.tif",
@ -261,9 +257,8 @@ if config["enable"]["retrieve"]:
# Website: https://ec.europa.eu/jrc/en/luisa
rule retrieve_luisa_land_cover:
input:
HTTP.remote(
"jeodpp.jrc.ec.europa.eu/ftp/jrc-opendata/LUISA/EUROPE/Basemaps/LandUse/2018/LATEST/LUISA_basemap_020321_50m.tif",
static=True,
storage(
"https://jeodpp.jrc.ec.europa.eu/ftp/jrc-opendata/LUISA/EUROPE/Basemaps/LandUse/2018/LATEST/LUISA_basemap_020321_50m.tif",
),
output:
"data/LUISA_basemap_020321_50m.tif",
@ -306,11 +301,7 @@ if config["enable"]["retrieve"]:
# Website: https://www.protectedplanet.net/en/thematic-areas/wdpa
rule download_wdpa:
input:
HTTP.remote(
url,
static=True,
keep_local=True,
),
storage(url, keep_local=True),
params:
zip="data/WDPA_shp.zip",
folder=directory("data/WDPA"),
@ -332,9 +323,8 @@ if config["enable"]["retrieve"]:
# extract the main zip and then merge the contained 3 zipped shapefiles
# Website: https://www.protectedplanet.net/en/thematic-areas/marine-protected-areas
input:
HTTP.remote(
f"d1gam3xoknrgr2.cloudfront.net/current/WDPA_WDOECM_{bYYYY}_Public_marine_shp.zip",
static=True,
storage(
f"https://d1gam3xoknrgr2.cloudfront.net/current/WDPA_WDOECM_{bYYYY}_Public_marine_shp.zip",
keep_local=True,
),
params:
@ -357,10 +347,9 @@ if config["enable"]["retrieve"]:
rule retrieve_monthly_co2_prices:
input:
HTTP.remote(
storage(
"https://www.eex.com/fileadmin/EEX/Downloads/EUA_Emission_Spot_Primary_Market_Auction_Report/Archive_Reports/emission-spot-primary-market-auction-report-2019-data.xls",
keep_local=True,
static=True,
),
output:
"data/validation/emission-spot-primary-market-auction-report-2019-data.xls",

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@ -29,7 +29,7 @@ rule solve_network:
threads: solver_threads
resources:
mem_mb=memory,
walltime=config_provider("solving", "walltime", default="12:00:00"),
runtime=config_provider("solving", "runtime", default="6h"),
shadow:
"minimal"
conda:
@ -60,7 +60,7 @@ rule solve_operations_network:
threads: 4
resources:
mem_mb=(lambda w: 10000 + 372 * int(w.clusters)),
walltime=config_provider("solving", "walltime", default="12:00:00"),
runtime=config_provider("solving", "runtime", default="6h"),
shadow:
"minimal"
conda:

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@ -126,12 +126,14 @@ rule solve_sector_network_myopic:
log:
solver=RESULTS
+ "logs/elec_s{simpl}_{clusters}_l{ll}_{opts}_{sector_opts}_{planning_horizons}_solver.log",
memory=RESULTS
+ "logs/elec_s{simpl}_{clusters}_l{ll}_{opts}_{sector_opts}_{planning_horizons}_memory.log",
python=RESULTS
+ "logs/elec_s{simpl}_{clusters}_l{ll}_{opts}_{sector_opts}_{planning_horizons}_python.log",
threads: solver_threads
resources:
mem_mb=config_provider("solving", "mem"),
walltime=config_provider("solving", "walltime", default="12:00:00"),
mem_mb=config_provider("solving", "mem_mb"),
runtime=config_provider("solving", "runtime", default="6h"),
benchmark:
(
RESULTS

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@ -30,8 +30,8 @@ rule solve_sector_network:
+ "logs/elec_s{simpl}_{clusters}_l{ll}_{opts}_{sector_opts}_{planning_horizons}_python.log",
threads: solver_threads
resources:
mem_mb=config_provider("solving", "mem"),
walltime=config_provider("solving", "walltime", default="12:00:00"),
mem_mb=config_provider("solving", "mem_mb"),
runtime=config_provider("solving", "runtime", default="6h"),
benchmark:
(
RESULTS

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@ -354,7 +354,16 @@ def mock_snakemake(
import snakemake as sm
from pypsa.descriptors import Dict
from snakemake.api import Workflow
from snakemake.common import SNAKEFILE_CHOICES
from snakemake.script import Snakemake
from snakemake.settings import (
ConfigSettings,
DAGSettings,
ResourceSettings,
StorageSettings,
WorkflowSettings,
)
script_dir = Path(__file__).parent.resolve()
if root_dir is None:
@ -374,7 +383,7 @@ def mock_snakemake(
f" {root_dir} or scripts directory {script_dir}"
)
try:
for p in sm.SNAKEFILE_CHOICES:
for p in SNAKEFILE_CHOICES:
if os.path.exists(p):
snakefile = p
break
@ -383,8 +392,18 @@ def mock_snakemake(
elif isinstance(configfiles, str):
configfiles = [configfiles]
workflow = sm.Workflow(
snakefile, overwrite_configfiles=configfiles, rerun_triggers=[]
resource_settings = ResourceSettings()
config_settings = ConfigSettings(configfiles=configfiles)
workflow_settings = WorkflowSettings()
storage_settings = StorageSettings()
dag_settings = DAGSettings(rerun_triggers=[])
workflow = Workflow(
config_settings,
resource_settings,
workflow_settings,
storage_settings,
dag_settings,
storage_provider_settings=dict(),
)
workflow.include(snakefile)

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@ -124,29 +124,57 @@ def add_brownfield(n, n_p, year):
n.links.loc[new_pipes, "p_nom_min"] = 0.0
def disable_grid_expansion_if_LV_limit_hit(n):
if "lv_limit" not in n.global_constraints.index:
return
def disable_grid_expansion_if_limit_hit(n):
"""
Check if transmission expansion limit is already reached; then turn off.
total_expansion = (
n.lines.eval("s_nom_min * length").sum()
+ n.links.query("carrier == 'DC'").eval("p_nom_min * length").sum()
).sum()
In particular, this function checks if the total transmission
capital cost or volume implied by s_nom_min and p_nom_min are
numerically close to the respective global limit set in
n.global_constraints. If so, the nominal capacities are set to the
minimum and extendable is turned off; the corresponding global
constraint is then dropped.
"""
cols = {"cost": "capital_cost", "volume": "length"}
for limit_type in ["cost", "volume"]:
glcs = n.global_constraints.query(
f"type == 'transmission_expansion_{limit_type}_limit'"
)
lv_limit = n.global_constraints.at["lv_limit", "constant"]
for name, glc in glcs.iterrows():
total_expansion = (
(
n.lines.query("p_nom_extendable")
.eval(f"s_nom_min * {cols[limit_type]}")
.sum()
)
+ (
n.links.query("carrier == 'DC' and p_nom_extendable")
.eval(f"p_nom_min * {cols[limit_type]}")
.sum()
)
).sum()
# allow small numerical differences
if lv_limit - total_expansion < 1:
logger.info("LV is already reached, disabling expansion and LV limit")
extendable_acs = n.lines.query("s_nom_extendable").index
n.lines.loc[extendable_acs, "s_nom_extendable"] = False
n.lines.loc[extendable_acs, "s_nom"] = n.lines.loc[extendable_acs, "s_nom_min"]
# Allow small numerical differences
if np.abs(glc.constant - total_expansion) / glc.constant < 1e-6:
logger.info(
f"Transmission expansion {limit_type} is already reached, disabling expansion and limit"
)
extendable_acs = n.lines.query("s_nom_extendable").index
n.lines.loc[extendable_acs, "s_nom_extendable"] = False
n.lines.loc[extendable_acs, "s_nom"] = n.lines.loc[
extendable_acs, "s_nom_min"
]
extendable_dcs = n.links.query("carrier == 'DC' and p_nom_extendable").index
n.links.loc[extendable_dcs, "p_nom_extendable"] = False
n.links.loc[extendable_dcs, "p_nom"] = n.links.loc[extendable_dcs, "p_nom_min"]
extendable_dcs = n.links.query(
"carrier == 'DC' and p_nom_extendable"
).index
n.links.loc[extendable_dcs, "p_nom_extendable"] = False
n.links.loc[extendable_dcs, "p_nom"] = n.links.loc[
extendable_dcs, "p_nom_min"
]
n.global_constraints.drop("lv_limit", inplace=True)
n.global_constraints.drop(name, inplace=True)
def adjust_renewable_profiles(n, input_profiles, params, year):
@ -233,7 +261,7 @@ if __name__ == "__main__":
add_brownfield(n, n_p, year)
disable_grid_expansion_if_LV_limit_hit(n)
disable_grid_expansion_if_limit_hit(n)
n.meta = dict(snakemake.config, **dict(wildcards=dict(snakemake.wildcards)))
n.export_to_netcdf(snakemake.output[0])

View File

@ -586,7 +586,7 @@ def attach_hydro(n, costs, ppl, profile_hydro, hydro_capacities, carriers, **par
# fill missing max hours to params value and
# assume no natural inflow due to lack of data
max_hours = params.get("PHS_max_hours", 6)
phs = phs.replace({"max_hours": {0: max_hours}})
phs = phs.replace({"max_hours": {0: max_hours, np.nan: max_hours}})
n.madd(
"StorageUnit",
phs.index,

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@ -25,7 +25,7 @@ def read_scigrid_gas(fn):
def build_gem_lng_data(fn):
df = pd.read_excel(fn[0], sheet_name="LNG terminals - data")
df = pd.read_excel(fn, sheet_name="LNG terminals - data")
df = df.set_index("ComboID")
remove_country = ["Cyprus", "Turkey"] # noqa: F841
@ -46,7 +46,7 @@ def build_gem_lng_data(fn):
def build_gem_prod_data(fn):
df = pd.read_excel(fn[0], sheet_name="Gas extraction - main")
df = pd.read_excel(fn, sheet_name="Gas extraction - main")
df = df.set_index("GEM Unit ID")
remove_country = ["Cyprus", "Türkiye"] # noqa: F841
@ -60,7 +60,7 @@ def build_gem_prod_data(fn):
& ~Longitude.isna()"
).copy()
p = pd.read_excel(fn[0], sheet_name="Gas extraction - production")
p = pd.read_excel(fn, sheet_name="Gas extraction - production")
p = p.set_index("GEM Unit ID")
p = p[p["Fuel description"] == "gas"]