Time series of available capacity of German power generation units (2015-2024)
Description
This data repository contains hourly time series of unavailable and available capacity (MWp) of 384 power generation units operating on the German electricity markets (2015 - 2024). Information on planned and unplanned outages is retrieved from ENTSO-E Transparency Platform (15.1) and EEX Transparency Platform. Information on actual generation and installed capacity is retrieved from ENTSO-E Transparency Platform (16.1.A).
Methodology and source code for the data processing are available at https://github.com/chiara-fb/avail-time-series.
Structure
The dataset has the following structure:
Index
| DateTime | Hourly timestamp (UTC) |
| Fuel | Fuel type of the generation unit |
| EICCode | ENTSO-E unique asset identifier |
| Unit | EEX unit name |
| UnitID | EEX unique asset identifier |
Columns
| ActualGenerationOutput | Generation (MWh) |
| AvailableCapacity_eex_ex_post | Available capacity based on EEX outages, ex-post (MWp) |
| AvailableCapacity_eex_real_time | Available capacity based on EEX outages, real-time (MWp) |
| AvailableCapacity_entsoe_ex_post | Available capacity based on ENTSO-E outages, ex-post (MWp) |
| AvailableCapacity_entsoe_real_time | Available capacity based on ENTSO-E outages, real-time (MWp) |
| Event_eex_ex_post | EEX unique code(s) referring to ex-post outage(s) |
| Event_eex_real_time | EEX unique code(s) referring to real-time outage(s) |
| Event_entsoe_ex_post | ENTSO-E unique code(s) referring to ex-post outage(s) |
| Event_entsoe_real_time | ENTSO-E unique code(s) referring to real-time outage(s) |
| InstalledCapacity | Installed capacity (MWp) |
| UnavailableCapacity_eex_ex_post | Unavailable capacity based on EEX outages, ex-post (MWp) |
| UnavailableCapacity_eex_real_time | Unavailable capacity based on EEX outages, real-time (MWp) |
Contact
Chiara Fusar Bassini (c.fusarbassini@hertie-school.org).
Disclaimer
While the data has been carefully compiled and processed, no responsibility is assumed for its application. To report errors, please contact c.fusarbassini@hertie-school.org.
Files
Files
(78.1 MB)
| Name | Size | Download all |
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md5:56c01e9fa02671588734ce8b4875cdfe
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78.1 MB | Download |