Calculating Great Britain's half-hourly electrical demand from publicly available data

Grant Wilson, Shivangi Sharma, Joseph Day, Noah Godfrey

Research output: Contribution to journalArticlepeer-review

254 Downloads (Pure)

Abstract

Here we present a method to combine half-hourly publicly available electrical generation and interconnector operational data for Great Britain to create a timeseries that approximates its electrical demand. We term the calculated electrical demand ‘ESPENI’ that is an acronym for Elexon Sum Plus Embedded Net Imports. The method adds value to the original data by combining both transmission and distribution generation data into a single dataset and adding ISO 8601 compatible datetimes to increase interoperability with other timeseries. Data cleansing is undertaken by visually flagging errors and then using simple linear interpolation to impute values to replace the flagged data points. Publishing the method allows it to be further enhanced or adapted and to be considered and critiqued by a wider community. In addition, the published raw and cleaned data is a valuable resource that saves researchers considerable time in repeating the steps presented in the method to prepare the data for further analysis. The data provide a public record of the decarbonisation of Great Britain's electrical system since late 2008, widely seen as an example of rapid decarbonisation of an electrical system away from fossil fuel generation to lower carbon sources.
Original languageEnglish
Article number100743
Number of pages20
JournalEnergy Strategy Reviews
Volume38
DOIs
Publication statusPublished - 1 Nov 2021

Bibliographical note

Funding Information:
This work has been developed over several years with the support of a number of different projects including the UK EPSRC UK Energy Research Centre research programme (grant number: EP/L024756/1) and the UK EPSRC The Active Building Centre (grant number: EP/S016627/1).

Publisher Copyright:
© 2021 The Authors

ASJC Scopus subject areas

  • Energy (miscellaneous)

Fingerprint

Dive into the research topics of 'Calculating Great Britain's half-hourly electrical demand from publicly available data'. Together they form a unique fingerprint.

Cite this