hydro-power-database

JRC Hydro-power plants database

https://github.com/energy-modelling-toolkit/hydro-power-database

Science Score: 36.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
    Links to: sciencedirect.com, zenodo.org
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (11.4%) to scientific vocabulary

Keywords

energy-system hydropower power-system-simulation

Keywords from Contributors

power
Last synced: 6 months ago · JSON representation

Repository

JRC Hydro-power plants database

Basic Info
  • Host: GitHub
  • Owner: energy-modelling-toolkit
  • License: cc-by-4.0
  • Default Branch: master
  • Homepage:
  • Size: 7.88 MB
Statistics
  • Stars: 67
  • Watchers: 10
  • Forks: 16
  • Open Issues: 4
  • Releases: 0
Topics
energy-system hydropower power-system-simulation
Created almost 7 years ago · Last pushed 12 months ago
Metadata Files
Readme License

README.md

License: CC BY 4.0 DOI

JRC Hydro-power plants database

map of hydro-power plants

The development of this dataset started as an output of the Energy work package of the Water-Energy-Food-Ecosystems (WEFE) Nexus project at the European Commission's Joint Research Centre (JRC). This dataset has been created for power system modelling purposes and it is based on publicly available sources. This dataset tries to collect some basic information on all the European hydro-power plants. Other related datasets are available in the JRC Data Catalogue.

The dataset contains the following variables (documented in the data package JSON): - id of the plant - name of the power plants - installed capacity (and pumping capacity when available) - country - coordinates - typology of the power plant (run-of-river, reservoir based or pumped-storage) - nominal head or height of the dam - size of the usable reservoir in million of cubic meters - maximum storage capacity in MWh - link with the GEO, PyPSA-EUR and WRI Global Power Plants databases - annual average/expected generation in GWh

The storage capacity is reported only when directly available from the source, thus is not estimated or derived from the other variables.

This dataset is released under CC-BY-4.0 license. This dataset is an open project and it is not an official product of the European Commission.

Discuss & Contribute

If you have any question or comment the best way would be to add a post in the Issues to keep track of open and closed issues/questions. If you want to contribute please send me an email or submit a Pull Request on this repository.

Author and contributors

Here a list of all the people which have personally contributed to this dataset. If you think that your name should be here please send me an email.

  • Matteo De Felice: main author
  • Konstantinos Kanellopoulos, JRC
  • Ignacio Hidalgo-González, JRC
  • Kachirayil Febin
  • Arnau Cangròs, Catalan Water Agency
  • Hrvoje Medarac, JRC
  • Goran Stunjek, University of Zagreb
  • Goran Krajacic, University of Zagreb
  • Jonas Hörsch, Reiner Lemoine Institut (RLI) and KIT
  • Francesco Careri, JRC
  • Sebastian Busch, JRC
  • André Ortner, MVV Energie and TU Wien
  • Clément Cabot, PSL - Mines-ParisTech
  • @flacombe
  • @timtroendle
  • Antoine Dubois, University of Liège
  • Shruthi Patil
  • Larissa Doré
  • Richard Gönnheimer
  • Matteo Catania, Department of Energy, Politecnico di Milano
  • Federico Parolin, Department of Energy, Politecnico di Milano
  • Fabrizio Fattori, Dipartimento di Scienze Teoriche e Applicate, Università Degli Studi Dell’Insubria
  • Paolo Colbertaldo, Department of Energy, Politecnico di Milano

Coverage

The dataset contains 4264 hydro-power plants. This is a table summarising the installed capacity in GW for all the countries appearing in the database.

|country | GW| |:----------------------|----:| |Albania | 2.1| |Austria | 13.5| |Belgium | 1.4| |Bosnia and Herzegovina | 2.0| |Bulgaria | 2.9| |Croatia | 2.1| |Czechia | 1.9| |Finland | 2.6| |France | 20.6| |Germany | 10.8| |Greece | 3.4| |Hungary | 0.0| |Ireland | 0.5| |Italy | 20.3| |Kosovo | 0.1| |Latvia | 1.5| |Lithuania | 1.0| |Montenegro | 0.7| |Norway | 33.0| |North Macedonia | 0.6| |Poland | 2.1| |Portugal | 7.6| |Romania | 6.2| |Serbia | 2.8| |Slovakia | 2.5| |Slovenia | 1.2| |Spain | 16.1| |Sweden | 13.9| |Switzerland | 19.2| |United Kingdom | 4.3|

Sources

The database has been built collecting the information from several other sources and then cross-checking and comparing in case of inconsistencies. The list of the used sources is here:

Owner

  • Name: Energy Modelling Toolkit
  • Login: energy-modelling-toolkit
  • Kind: organization

A fully open inter-institutional energy modelling group. It serves as an umbrella organization that hosts open datasets and models.

GitHub Events

Total
  • Watch event: 7
  • Fork event: 2
Last Year
  • Watch event: 7
  • Fork event: 2

Committers

Last synced: 6 months ago

All Time
  • Total Commits: 61
  • Total Committers: 5
  • Avg Commits per committer: 12.2
  • Development Distribution Score (DDS): 0.115
Past Year
  • Commits: 1
  • Committers: 1
  • Avg Commits per committer: 1.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Matteo De Felice m****e@g****m 54
Giuseppe Peronato g****o@g****m 4
Konstantinos Kavvadias k****n@g****m 1
Ayrton Bourn a****n@o****m 1
matteodefelice m****e@e****u 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 10
  • Total pull requests: 8
  • Average time to close issues: 12 months
  • Average time to close pull requests: 3 days
  • Total issue authors: 7
  • Total pull request authors: 2
  • Average comments per issue: 4.0
  • Average comments per pull request: 0.38
  • Merged pull requests: 5
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • gperonato (2)
  • timtroendle (2)
  • flacombe (2)
  • matteodefelice (1)
  • kristvanbesien (1)
  • laure2019 (1)
  • Shruthi-Patil (1)
Pull Request Authors
  • gperonato (5)
  • AyrtonB (3)
Top Labels
Issue Labels
Pull Request Labels