Resource and technology data for spatio-temporal value chain modelling of the Great Britain energy system

Christopher Quarton; Sheila Samsatli

doi:10.1016/j.dib.2020.105886

Resource and technology data for spatio-temporal value chain modelling of the Great Britain energy system

Christopher Quarton, Sheila Samsatli

Research output: Contribution to journal › Article › peer-review

3 Citations (SciVal)

Abstract

A comprehensive dataset for the resources and technologies in a present-day energy system is presented. These data were used as the model input data for spatio-temporal value chain optimisation studies for the Great Britain energy system. Although focussed on Great Britain, these data may be applicable to other energy systems worldwide. Data are presented for energy resources and energy technologies. Spatio-temporal energy resource data include availabilities of primary resources such as wind and solar, and demands for heat and electricity in the domestic, commercial and industrial sectors. Economic and operating parameters for a wide range of energy technologies are presented, including resource utilisation and conversion technologies such as wind turbines and electrolysers, resource transportation such as gas transmission systems, and energy storage technologies. The data were gathered from a wide range of academic literature, technical reports, and government databases; all references are provided with the data. This dataset will be valuable for greater understanding of the energy value chain optimisation studies performed using the Value Web Model, carrying out further energy system modelling, and as a general reference for the resources and technologies in present-day energy systems.

Original language	English
Article number	105886
Journal	Data in Brief
Volume	31
Early online date	20 Jun 2020
DOIs	https://doi.org/10.1016/j.dib.2020.105886
Publication status	Published - 31 Aug 2020

Bibliographical note

Funding Information:
The authors would like to thank Dr Ian Llewelyn from the UK Government Department of Business, Energy and Industrial Strategy (BEIS) and Dr Jose M. Bermudez from the International Energy Agency for their valuable comments on this work and wider support of the project.

Funding Information:
The funding and support of BEIS and the Engineering and Physical Sciences Research Council (EPSRC), through C.J. Quarton's PhD studentship, are gratefully acknowledged.

Funding Information:
Dr. S. Samsatli would like to thank the EPSRC for partial funding of her research through the BEFEW project (Grant No. EP/P018165/1).

Publisher Copyright:
© 2020 The Author(s)

Keywords

Electricity demands
Energy system data
Heat demands
Technology costs

ASJC Scopus subject areas

General

Access to Document

10.1016/j.dib.2020.105886Licence: CC BY

Cite this

@article{fe2113be27ca4782b74bb3d0f1005dcd,

title = "Resource and technology data for spatio-temporal value chain modelling of the Great Britain energy system",

abstract = "A comprehensive dataset for the resources and technologies in a present-day energy system is presented. These data were used as the model input data for spatio-temporal value chain optimisation studies for the Great Britain energy system. Although focussed on Great Britain, these data may be applicable to other energy systems worldwide. Data are presented for energy resources and energy technologies. Spatio-temporal energy resource data include availabilities of primary resources such as wind and solar, and demands for heat and electricity in the domestic, commercial and industrial sectors. Economic and operating parameters for a wide range of energy technologies are presented, including resource utilisation and conversion technologies such as wind turbines and electrolysers, resource transportation such as gas transmission systems, and energy storage technologies. The data were gathered from a wide range of academic literature, technical reports, and government databases; all references are provided with the data. This dataset will be valuable for greater understanding of the energy value chain optimisation studies performed using the Value Web Model, carrying out further energy system modelling, and as a general reference for the resources and technologies in present-day energy systems.",

keywords = "Electricity demands, Energy system data, Heat demands, Technology costs",

author = "Christopher Quarton and Sheila Samsatli",

note = "Funding Information: The authors would like to thank Dr Ian Llewelyn from the UK Government Department of Business, Energy and Industrial Strategy (BEIS) and Dr Jose M. Bermudez from the International Energy Agency for their valuable comments on this work and wider support of the project. Funding Information: The funding and support of BEIS and the Engineering and Physical Sciences Research Council (EPSRC), through C.J. Quarton's PhD studentship, are gratefully acknowledged. Funding Information: Dr. S. Samsatli would like to thank the EPSRC for partial funding of her research through the BEFEW project (Grant No. EP/P018165/1). Publisher Copyright: {\textcopyright} 2020 The Author(s)",

year = "2020",

month = aug,

day = "31",

doi = "10.1016/j.dib.2020.105886",

language = "English",

volume = "31",

journal = "Data in Brief",

issn = "2352-3409",

publisher = "Elsevier",

}

TY - JOUR

T1 - Resource and technology data for spatio-temporal value chain modelling of the Great Britain energy system

AU - Quarton, Christopher

AU - Samsatli, Sheila

N1 - Funding Information: The authors would like to thank Dr Ian Llewelyn from the UK Government Department of Business, Energy and Industrial Strategy (BEIS) and Dr Jose M. Bermudez from the International Energy Agency for their valuable comments on this work and wider support of the project. Funding Information: The funding and support of BEIS and the Engineering and Physical Sciences Research Council (EPSRC), through C.J. Quarton's PhD studentship, are gratefully acknowledged. Funding Information: Dr. S. Samsatli would like to thank the EPSRC for partial funding of her research through the BEFEW project (Grant No. EP/P018165/1). Publisher Copyright: © 2020 The Author(s)

PY - 2020/8/31

Y1 - 2020/8/31

N2 - A comprehensive dataset for the resources and technologies in a present-day energy system is presented. These data were used as the model input data for spatio-temporal value chain optimisation studies for the Great Britain energy system. Although focussed on Great Britain, these data may be applicable to other energy systems worldwide. Data are presented for energy resources and energy technologies. Spatio-temporal energy resource data include availabilities of primary resources such as wind and solar, and demands for heat and electricity in the domestic, commercial and industrial sectors. Economic and operating parameters for a wide range of energy technologies are presented, including resource utilisation and conversion technologies such as wind turbines and electrolysers, resource transportation such as gas transmission systems, and energy storage technologies. The data were gathered from a wide range of academic literature, technical reports, and government databases; all references are provided with the data. This dataset will be valuable for greater understanding of the energy value chain optimisation studies performed using the Value Web Model, carrying out further energy system modelling, and as a general reference for the resources and technologies in present-day energy systems.

AB - A comprehensive dataset for the resources and technologies in a present-day energy system is presented. These data were used as the model input data for spatio-temporal value chain optimisation studies for the Great Britain energy system. Although focussed on Great Britain, these data may be applicable to other energy systems worldwide. Data are presented for energy resources and energy technologies. Spatio-temporal energy resource data include availabilities of primary resources such as wind and solar, and demands for heat and electricity in the domestic, commercial and industrial sectors. Economic and operating parameters for a wide range of energy technologies are presented, including resource utilisation and conversion technologies such as wind turbines and electrolysers, resource transportation such as gas transmission systems, and energy storage technologies. The data were gathered from a wide range of academic literature, technical reports, and government databases; all references are provided with the data. This dataset will be valuable for greater understanding of the energy value chain optimisation studies performed using the Value Web Model, carrying out further energy system modelling, and as a general reference for the resources and technologies in present-day energy systems.

KW - Electricity demands

KW - Energy system data

KW - Heat demands

KW - Technology costs

UR - http://www.scopus.com/inward/record.url?scp=85086927912&partnerID=8YFLogxK

U2 - 10.1016/j.dib.2020.105886

DO - 10.1016/j.dib.2020.105886

M3 - Article

SN - 2352-3409

VL - 31

JO - Data in Brief

JF - Data in Brief

M1 - 105886

ER -

Resource and technology data for spatio-temporal value chain modelling of the Great Britain energy system

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Biomass Value Chain & EFEW Nexus

Use of hydrogen to mitigate intermittency in renewable generation in the UK

Cite this

Resource and technology data for spatio-temporal value chain modelling of the Great Britain energy system

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Projects

Biomass Value Chain & EFEW Nexus

Use of hydrogen to mitigate intermittency in renewable generation in the UK

Cite this