JRC Data Catalogue
DATASETCompleted

Electricity Mix; AC; consumption mix, at consumer; 220V (Location: GR)

QR code

Good overall data quality. Energy carrier mix information based on official statistical information including import/export. Detailed power plant models were used, which combine measured emissions plus calculated values for not measured emissions of e.g. organics or heavy metals. Energy carrier extraction and processing data is of sufficient to good (e.g. refinery) data quality. Inventory is partly based on primary industry data, partly on secondary literature data.

Synonyms: power grid mix

Technical Purpose: Low voltage (<1kV) electricity for final consumers.

Geographical Representation: GR

Contributors

How to cite

Fazio, Simone; Pennington, David (2026): Electricity Mix; AC; consumption mix, at consumer; 220V (Location: GR). European Commission, Joint Research Centre [Dataset] doi: 10.2905/JRC.VS8PMN0 PID: http://data.europa.eu/89h/jrc-eplca-792de09a-4a8f-4e97-9305-a5da187411e6

Keywords

ElectricityEnergy carriers and technologies

Data access

ZIP

ZIP is an archive file format that supports lossless data compression. A ZIP file may contain one or more files or directories that may have been compressed.

Use conditions
Custom licence
Access conditions
No limitations

Anybody can directly and anonymously access the data, without being required to register or authenticate.

  • Landing Page to download the full ELCD Database.

Temporal coverage

From date To date
2002-01-01 2010-12-31

Additional information

Published by
European Commission, Joint Research Centre
Contact email
jrc-data-support (at) ec.europa.eu
Update frequency
irregular

The event occurs at uneven intervals.

Language(s)
English

English is a member of the West Germanic group of the Germanic languages. It is an official language of almost 60 sovereign states and is now a global lingua franca.It is the third-most-common native language in the world and it is widely learned as a second language.

Data theme(s)
Environment

dataset theme covering the domain of environment, defined as the interaction of all living species, climate, weather, and natural resources that impact human survival and economic activity

Science and technology

dataset theme covering the domains of science and technology, with science being the systematic pursuit of knowledge through testable explanations and predictions across natural, social, and formal disciplines, and technology encompassing the collective techniques, skills, methods, and processes used in producing goods, providing services, or achieving objectives like scientific research

Geographical name(s)
Issued date
2002-01-01
Created date
02 Mar 2026 17:07
Modified date
19 Aug 2019 15:48
Landing page
Dataset identifier
Other identifiers
Rate this page
Please vote (optional).
An unhandled error has occurred. Reload 🗙