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

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 Embe...

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Autores principales:	IA Grant Wilson, Shivangi Sharma, Joseph Day, Noah Godfrey
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Energy industries. Energy policy. Fuel trade HD9502-9502.5
Acceso en línea:	https://doaj.org/article/8bebfce1678c437ead8c4cbc7974d342
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id	oai:doaj.org-article:8bebfce1678c437ead8c4cbc7974d342
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spelling	oai:doaj.org-article:8bebfce1678c437ead8c4cbc7974d3422021-11-04T04:30:15ZCalculating Great Britain's half-hourly electrical demand from publicly available data2211-467X10.1016/j.esr.2021.100743https://doaj.org/article/8bebfce1678c437ead8c4cbc7974d3422021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2211467X21001280https://doaj.org/toc/2211-467XHere 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.IA Grant WilsonShivangi SharmaJoseph DayNoah GodfreyElsevierarticleEnergy industries. Energy policy. Fuel tradeHD9502-9502.5ENEnergy Strategy Reviews, Vol 38, Iss , Pp 100743- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Energy industries. Energy policy. Fuel trade HD9502-9502.5
spellingShingle	Energy industries. Energy policy. Fuel trade HD9502-9502.5 IA Grant Wilson Shivangi Sharma Joseph Day Noah Godfrey Calculating Great Britain's half-hourly electrical demand from publicly available data
description	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.
format	article
author	IA Grant Wilson Shivangi Sharma Joseph Day Noah Godfrey
author_facet	IA Grant Wilson Shivangi Sharma Joseph Day Noah Godfrey
author_sort	IA Grant Wilson
title	Calculating Great Britain's half-hourly electrical demand from publicly available data
title_short	Calculating Great Britain's half-hourly electrical demand from publicly available data
title_full	Calculating Great Britain's half-hourly electrical demand from publicly available data
title_fullStr	Calculating Great Britain's half-hourly electrical demand from publicly available data
title_full_unstemmed	Calculating Great Britain's half-hourly electrical demand from publicly available data
title_sort	calculating great britain's half-hourly electrical demand from publicly available data
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/8bebfce1678c437ead8c4cbc7974d342
work_keys_str_mv	AT iagrantwilson calculatinggreatbritainshalfhourlyelectricaldemandfrompubliclyavailabledata AT shivangisharma calculatinggreatbritainshalfhourlyelectricaldemandfrompubliclyavailabledata AT josephday calculatinggreatbritainshalfhourlyelectricaldemandfrompubliclyavailabledata AT noahgodfrey calculatinggreatbritainshalfhourlyelectricaldemandfrompubliclyavailabledata
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Calculating Great Britain's half-hourly electrical demand from publicly available data

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