TY - JOUR
T1 - Calculating Great Britain's half-hourly electrical demand from publicly available data
AU - Wilson, Grant
AU - Sharma, Shivangi
AU - Day, Joseph
AU - Godfrey, Noah
N1 - 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
PY - 2021/11/1
Y1 - 2021/11/1
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85118510086
U2 - 10.1016/j.esr.2021.100743
DO - 10.1016/j.esr.2021.100743
M3 - Article
SN - 2211-467X
VL - 38
JO - Energy Strategy Reviews
JF - Energy Strategy Reviews
M1 - 100743
ER -