Renewable power plants: Main Notebook
This Notebook is part of the Renewable power plants Data Package of Open Power System Data.

1. About Open Power System Data

This Notebook is part of the project Open Power System Data. Open Power System Data develops a platform for free and open data for electricity system modeling. We collect, check, process, document, and provide data that are publicly available but currently inconvenient to use. More info on Open Power System Data:

2. About Jupyter Notebooks and GitHub

This file is a Jupyter Notebook. A Jupyter Notebook is a file that combines executable programming code with visualizations and comments in markdown format, allowing for an intuitive documentation of the code. We use Jupyter Notebooks for combined coding and documentation. We use Python 3 as programming language. All Notebooks are stored on GitHub, a platform for software development, and are publicly available. More information on our IT-concept can be found here. See also our step-by-step manual how to use the dataplatform.

3. About this Data Package

We provide data in different chunks, or Data Packages. The one you are looking at right now, Renewable power plants, contains

  • lists of renewable energy power plants of Germany, Denmark, France and Poland
  • daily time series of cumulated installed capacity per energy source type for Germany.

Due to differing data availability, the power plant lists are of variable accurancy and partly provide different power plant parameters. Therefore the lists are provided as separate CSV files per country and as separate sheets in the Excel file.

  • Germany: More than 1.7 million power plant entries, all renewable energy plants supported by the German Renewable Energy Law (EEG)
  • Denmark: Wind and phovoltaic power plants with a high level of detail
  • France: Summed capacity and number of installations per energy source per municipality (Commune)
  • Poland: Summed capacity and number of installations per energy source per municipality (Powiat)

4. Data sources

This Data Package uses the following main data sources.

4.1 Germany - DE

In Germany historically all data has been published mandatorily by the four TSOs (50Hertz, Amprion, Tennet, TransnetBW). This obligation expired in August 2014, nonetheless the TSO reported until the end of 2014 and issued another update in August 2016 for plants commissioned until end of 2015 (which is used in this script).

  • BNetzA - The German Federal Network Agency for Electricity, Gas, Telecommunications, Posts and Railway

Since August 2014 the BNetzA is responsible to publish the renewable power plants register. The legal framework for the register is specified in the EEG 2014 (German) (English). All power plants are listed in a new format: two separate MS-Excel and CSV files for roof-mounted PV power plants "PV-Datenmeldungen" and all other renewable power plants " Anlagenregister".

4.2 Denmark - DK

  • ens.dk - Energy Agency Denmark

The Danish Energy Agency publishes a national master data register for wind turbines which was created in collaboration with the transmission system operators. The publication is monthly as an Excel file. The data set includes all electricity-generating wind turbines with information about technical data, location data and production data.

The photovoltaic statistic, published from Energinet, includes information about location, year of implementing, installed capacity and number of systems. There is an additional overview of the number of plants and installed capacity per postcode. The publication an Excel file and dates of publication are not entirely clear.

4.3 France - FR

The data is annual published on the france website for statistics as an Excel file. The Excel chart includes number and installed capacity of the different renewable source for every municipality in France. It is limited to the plants which are covered by article 10 of february 2000 by an agreement to a purchase commitment.

4.4 Poland - PL

Number of installations and installed capacity per energy source of renewable energy, summed per powiat (districts) is illustrated on the page and can be downloaded as rtf-file

A complete list of data sources is provided on the Data Package information website. They are also contained in the JSON file that contains all metadata.

5. Naming Conventions

5.1 Column translation list

This list provides all internal translations of column original names to the OPSD standard names in order to achieve common data structure for data of all implemented countries as well as the other data packages.

In [1]:
import pandas as pd
pd.read_csv('input/column_translation_list.csv')
Out[1]:
original_name opsd_name description country data_source
0 ÜNB tso Name of transmission system operator DE 50Hertz / Amprion / TenneT / TransnetBW
1 REGELZONE tso Name of transmission system operator DE 50Hertz / Amprion / TenneT / TransnetBW
2 Regelzonenbezeichnung tso Name of transmission system operator DE 50Hertz / Amprion / TenneT / TransnetBW
3 Netzbetreiber Name dso Name of distribution system operator DE 50Hertz / Amprion / TenneT / TransnetBW
4 NETZBETREIBER_NAME dso Name of distribution system operator DE 50Hertz / Amprion / TenneT / TransnetBW
5 Netzbetreiber Betriebsnummer dso_id Company number of dso DE 50Hertz / Amprion / TenneT / TransnetBW
6 NETZBETREIBER_BETRIEBSNUMMER dso_id Company number of dso DE 50Hertz / Amprion / TenneT / TransnetBW
7 ÜNB-Anlagenschlüssel eeg_id German EEG renumeration ID number DE 50Hertz / Amprion / TenneT / TransnetBW
8 ANLAGENSCHLUESSEL eeg_id German EEG renumeration ID number DE 50Hertz / Amprion / TenneT / TransnetBW
9 ÜNB-Anlagennummer eeg_id German EEG renumeration ID number DE 50Hertz / Amprion / TenneT / TransnetBW
10 Bundesland federal_state Federal state – administrative region NUTS1-level DE 50Hertz / Amprion / TenneT / TransnetBW
11 Bundelsand federal_state Federal state – administrative region NUTS1-level DE 50Hertz / Amprion / TenneT / TransnetBW
12 BUNDESLAND federal_state Federal state – administrative region NUTS1-level DE 50Hertz / Amprion / TenneT / TransnetBW
13 PLZ postcode Postcode or ZIP-code DE 50Hertz / Amprion / TenneT / TransnetBW
14 Installierte Leistung [kW] electrical_capacity_kW Installed electrical capacity in kW DE 50Hertz / Amprion / TenneT / TransnetBW
15 INST_LEISTUNG_KW electrical_capacity_kW Installed electrical capacity in kW DE 50Hertz / Amprion / TenneT / TransnetBW
16 installierte Leistung electrical_capacity_kW Installed electrical capacity in kW DE 50Hertz / Amprion / TenneT / TransnetBW
17 Einspeisespannungsebene voltage_level Grid connection/voltage level DE 50Hertz / Amprion / TenneT / TransnetBW
18 EINSPEISESPANNUNGSEBENE voltage_level Grid connection/voltage level DE 50Hertz / Amprion / TenneT / TransnetBW
19 Leistungsmessung power_measurement Indicates whether power measurement is impleme... DE 50Hertz / Amprion / TenneT / TransnetBW
20 LEISTUNGSGEMESSENE_ANLAGE power_measurement Indicates whether power measurement is impleme... DE 50Hertz / Amprion / TenneT / TransnetBW
21 Leistungsgemessene Anlage? power_measurement Indicates whether power measurement is impleme... DE 50Hertz / Amprion / TenneT / TransnetBW
22 Regelbarkeit controllability Indicates whether remote controllability is im... DE 50Hertz / Amprion / TenneT / TransnetBW
23 REGELBARKEIT controllability Indicates whether remote controllability is im... DE 50Hertz / Amprion / TenneT / TransnetBW
24 Energieträger energy_source_level_2 Type of energy source / generation DE 50Hertz / Amprion / TenneT / TransnetBW
25 Energietr�ger energy_source_level_2 Type of energy source / generation DE 50Hertz / Amprion / TenneT / TransnetBW
26 BEZEICHNUNG energy_source_level_2 Type of energy source / generation DE 50Hertz / Amprion / TenneT / TransnetBW
27 Inbetriebnahme commissioning_date NaN DE 50Hertz / Amprion / TenneT / TransnetBW
28 Zeitpunkt der Inbetriebnahme commissioning_date NaN DE 50Hertz / Amprion / TenneT / TransnetBW
29 ZEITPUNKT_INBETRIEBNAHME commissioning_date NaN DE 50Hertz / Amprion / TenneT / TransnetBW
... ... ... ... ... ...
65 Møllenummer (GSRN) gsrn_id Turbine identifier (GSRN) DK Energistyrelsen
66 Dato for oprindelig nettilslutning commissioning_date NaN DK Energistyrelsen
67 Kapacitet (kW) electrical_capacity_kW Installed electrical capacity in kW DK Energistyrelsen
68 Rotor-diameter (m) rotor_diameter Rotor diameter in m DK Energistyrelsen
69 Navhøjde (m) hub_height Hub heigth in m DK Energistyrelsen
70 Fabrikat manufacturer Company that has built the turbine DK Energistyrelsen
71 Model model Wind turbine model DK Energistyrelsen
72 Kommune-nr. municipality_code Danish municipality code DK Energistyrelsen
73 Kommune municipality Name of city or village or municipality DK Energistyrelsen
74 Type af placering technology Type of location: on- or offshore DK Energistyrelsen
75 Ejerlav address Street name or name of land parcel DK Energistyrelsen
76 Matrikel-nummer address_number House number or number of land parcel DK Energistyrelsen
77 X (øst) koordinat \nUTM 32 Euref89 utm_east Coordinate in Universal Transverse Mercator (e... DK Energistyrelsen
78 Y (nord) koordinat \nUTM 32 Euref89 utm_north Coordinate in Universal Transverse Mercator (n... DK Energistyrelsen
79 Værk Idrift commissioning_date NaN DK Energinet.dk
80 kW electrical_capacity_kW Installed electrical capacity in kW DK Energinet.dk
81 Postnr postcode Postcode or ZIP-code DK Energinet.dk
82 Netområde Navn dso Name of distribution system operator DK Energinet.dk
83 Communes municipality NaN FR gouv.fr
84 Code officiel géographique municipality_code French municipality code (INSEE) FR gouv.fr
85 insee_com municipality_code French municipality code (INSEE) FR gouv.fr
86 Nombre d'installations number_of_installations Number of installed solar systems FR gouv.fr
87 Puissance installée (MW) electrical_capacity Installed electrical capacity in MW FR gouv.fr
88 technology energy_source_level_2 NaN Europe OPSD
89 capacity electrical_capacity NaN Europe OPSD
90 source data_source NaN Europe OPSD
91 Country / Area country NaN Europe IRENA
92 Sub Technology technology NaN Europe IRENA
93 Year year NaN Europe IRENA
94 Value electrical_capacity NaN Europe IRENA

95 rows × 5 columns

5.2 Value translation list

This list provides all internal translations of original value names to the OPSD standard names in order to achieve common data structure for data of all implemented countries as well as the other data packages.

In [2]:
import pandas as pd
pd.read_csv('input/value_translation_list.csv')
Out[2]:
original_name opsd_name energy_source_level_2 country data_source
0 Wind Land Onshore Wind DE BNetzA
1 Wind See Offshore Wind DE BNetzA
2 Klärgas Sewage and landfill gas Bioenergy DE BNetzA / TransnetBW / TenneT / 50Hertz / Amprion
3 Grubengas Other fossil fuels Other fossil fuels DE BnetzA/ Amprion
4 Freifläche PV Photovoltaics ground Solar DE BNetzA
5 Deponiegas Sewage and landfill gas Bioenergy DE BNetzA / TransnetBW / TenneT / 50Hertz / Amprion
6 Biomasse Biomass and biogas Bioenergy DE BNetzA / TransnetBW / TenneT / 50Hertz / Amprion
7 Wasserkraft Run-of-river Hydro DE BNetzA / TransnetBW / TenneT / 50Hertz / Amprion
8 Geothermie Geothermal Geothermal DE BnetzA / TenneT / 50Hertz / Amprion
9 Windenergie Offshore Offshore Wind DE 50Hertz / TenneT
10 Solar Photovoltaics Solar DE TransnetBW / TenneT / 50Hertz / Amprion
11 Windenergie Onshore Wind DE TenneT / 50Hertz / Amprion
12 Windenergie an Land Onshore Wind DE TransnetBW
13 HS high voltage NaN DE BNetzA
14 HS/MS high voltage / medium voltage NaN DE BNetzA
15 HöS extra high voltage NaN DE BNetzA
16 HöS/HS high voltage / extra high voltage NaN DE BNetzA
17 MS medium voltage NaN DE BNetzA
18 MS/NS medium voltage / low voltage NaN DE BNetzA
19 NS low voltage NaN DE BNetzA
20 TransnetBW GmbH TransnetBW NaN DE TransnetBW
21 TenneT TSO GmbH TenneT NaN DE TenneT
22 Amprion GmbH Amprion NaN DE Amprion
23 HAV Offshore Wind DK Energistyrelsen
24 LAND Onshore Wind DK Energistyrelsen
25 Land Onshore Wind DK Energistyrelsen
26 Biomasse Biomass and biogas Bioenergy FR gouv.fr
27 Eolien Wind Wind FR gouv.fr
28 Géothermie Geothermal Geothermal FR gouv.fr
29 Hydraulique Hydro Hydro FR gouv.fr
... ... ... ... ... ...
42 hydro-electric power-station capacity up to 10 MW Hydro Hydro PL Urzad Regulacji Energetyki
43 hydro-electric power-station capacity up to 5 MW Hydro Hydro PL Urzad Regulacji Energetyki
44 mixed biogas power-stations Biomass and biogas Bioenergy PL Urzad Regulacji Energetyki
45 onshore wind power-station Onshore Wind PL Urzad Regulacji Energetyki
46 photovoltaic power-stations Photovoltaics Solar PL Urzad Regulacji Energetyki
47 sewage treatment plant biogas power-stations Sewage and landfill gas Bioenergy PL Urzad Regulacji Energetyki
48 pumped-storage power station or flow hydro-ele... Hydro Hydro PL Urzad Regulacji Energetyki
49 Biogas Biomass and biogas Bioenergy Europe IRENA
50 Concentrated Solar Power Concentrated solar power Solar Europe IRENA
51 Geothermal Energy Geothermal Geothermal Europe IRENA
52 Large Hydropower Hydro Hydro Europe IRENA
53 Liquid Biofuels Biomass and biogas Bioenergy Europe IRENA
54 Marine Marine Marine Europe IRENA
55 Medium Hydropower Hydro Hydro Europe IRENA
56 Offshore Wind Offshore Wind Europe IRENA
57 Onshore Wind Onshore Wind Europe IRENA
58 Pumped storage and mixed plants Hydro Hydro Europe IRENA
59 Small Hydropower Hydro Hydro Europe IRENA
60 Solar Photovoltaic Photovoltaics Solar Europe IRENA
61 Solid Biomass Biomass and biogas Bioenergy Europe IRENA
62 Denmark DK NaN Europe IRENA
63 France FR NaN Europe IRENA
64 Germany DE NaN Europe IRENA
65 Poland PL NaN Europe IRENA
66 Bioenergy and other renewale fuels Bioenergy and renewable waste Bioenergy Europe OPSD
67 Solar Solar NaN Europe OPSD
68 Wind Wind NaN Europe OPSD
69 Geothermal Geothermal NaN Europe OPSD
70 Differently categorized hydro Hydro NaN Europe OPSD
71 Tide, wave, and ocean Marine NaN Europe OPSD

72 rows × 5 columns

5.3 Validation marker

Validation markers are used in comments column in order to mark units for which we identified one of the following issues:

In [3]:
import pandas as pd
pd.read_csv('input/validation_marker.csv')
Out[3]:
Validation marker Short explanation Long explanation
0 R_1 data_source = BnetzA and commissioning_date < ... This powerplant is probably also represented b...
1 R_2 notification_reason other than „Inbetriebnahme... This powerplant is probably also represented b...
2 R_3 commissioning_date not specified NaN
3 R_4 electrical_capacity not specified NaN
4 R_5 decommissioned from the grid This powerplant is probably commissioned again...
5 R_6 decommissioned This powerplant is completely decommissioned.
6 R_7 not connected to the European grid This powerplant is located in regions belongin...

5.4 Energy source structure

OPSD-Tree

6. License

This Jupyter Notebook as well as all other documents in this repository is published under the MIT License.