Merge pull request #1020 from PyPSA/cleanup_data_structure
Cleaning up data and resources
This commit is contained in:
commit
a4d58b70f5
@ -1,25 +0,0 @@
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hour,weekday,weekend
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0,0.9181438689,0.9421512708
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1,0.9172359071,0.9400891069
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2,0.9269464481,0.9461062015
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3,0.9415047932,0.9535084941
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4,0.9656299507,0.9651094993
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5,1.0221166443,0.9834676747
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6,1.1553090493,1.0124171051
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7,1.2093411031,1.0446615927
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8,1.1470295942,1.088203419
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9,1.0877191341,1.1110334576
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10,1.0418327372,1.0926752822
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11,1.0062977133,1.055488209
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12,0.9837030359,1.0251266112
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13,0.9667570278,0.9990015154
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14,0.9548320932,0.9782897278
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15,0.9509232061,0.9698167237
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16,0.9636973319,0.974288587
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17,0.9799372563,0.9886456216
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18,1.0046501848,1.0084159643
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19,1.0079452419,1.0171243296
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20,0.9860566481,0.9994722379
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21,0.9705228074,0.982761591
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22,0.9586485819,0.9698167237
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23,0.9335023778,0.9515079292
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@ -1,31 +0,0 @@
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ct,TWh
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AT,
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BA,
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BE,
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BG,
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CH,
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CZ,
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DE,4500
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DK,700
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EE,
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ES,350
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FI,
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FR,
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GB,1050
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GR,120
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HR,
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HU,
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IE,
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IT,
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LT,
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LU,
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LV,
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NL,150
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NO,
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PL,120
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PT,400
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RO,
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RS,
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SE,
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SI,
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SK,
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@ -1,14 +1,12 @@
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description,file/folder,licence,source
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JRC IDEES database,jrc-idees-2015/,CC BY 4.0,https://ec.europa.eu/jrc/en/potencia/jrc-idees
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urban/rural fraction,urban_percent.csv,unknown,unknown
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JRC biomass potentials,biomass/,unknown,https://doi.org/10.2790/39014
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JRC ENSPRESO biomass potentials,remote,CC BY 4.0,https://data.jrc.ec.europa.eu/dataset/74ed5a04-7d74-4807-9eab-b94774309d9f
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EEA emission statistics,eea/UNFCCC_v23.csv,EEA standard re-use policy,https://www.eea.europa.eu/data-and-maps/data/national-emissions-reported-to-the-unfccc-and-to-the-eu-greenhouse-gas-monitoring-mechanism-16
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Eurostat Energy Balances,eurostat-energy_balances-*/,Eurostat,https://ec.europa.eu/eurostat/web/energy/data/energy-balances
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Swiss energy statistics from Swiss Federal Office of Energy,switzerland-sfoe/,unknown,http://www.bfe.admin.ch/themen/00526/00541/00542/02167/index.html?dossier_id=02169
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BASt emobility statistics,emobility/,unknown,http://www.bast.de/DE/Verkehrstechnik/Fachthemen/v2-verkehrszaehlung/Stundenwerte.html?nn=626916
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BDEW heating profile,heat_load_profile_BDEW.csv,unknown,https://github.com/oemof/demandlib
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heating profiles for Aarhus,heat_load_profile_DK_AdamJensen.csv,unknown,Adam Jensen MA thesis at Aarhus University
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co2 budgets,co2_budget.csv,CC BY 4.0,https://arxiv.org/abs/2004.11009
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existing heating potentials,existing_infrastructure/existing_heating_raw.csv,unknown,https://energy.ec.europa.eu/publications/mapping-and-analyses-current-and-future-2020-2030-heatingcooling-fuel-deployment-fossilrenewables-1_en
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IRENA existing VRE capacities,existing_infrastructure/{solar|onwind|offwind}_capcity_IRENA.csv,unknown,https://www.irena.org/Statistics/Download-Data
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@ -360,7 +360,6 @@ rule build_hydro_profile:
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+ ".nc",
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output:
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profile=resources("profile_hydro.nc"),
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eia_hydro=resources("eia_hydro_stats.csv"),
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log:
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logs("build_hydro_profile.log"),
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resources:
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@ -198,8 +198,6 @@ if __name__ == "__main__":
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fn = snakemake.input.era5_runoff
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eia_stats = approximate_missing_eia_stats(eia_stats, fn, countries)
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eia_stats.to_csv(snakemake.output.eia_hydro)
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contained_years = pd.date_range(freq="YE", **snakemake.params.snapshots).year
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norm_year = config_hydro.get("eia_norm_year")
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missing_years = contained_years.difference(eia_stats.index)
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