Great Britain's power system with a high penetration of renewable energy: Dataset supporting future scenarios

被引:0
|
作者
Guerra, K. [1 ,2 ]
Welfle, A. [2 ,3 ]
Gutierrez-Alvarez, R. [4 ]
Moreno, S. [1 ]
Haro, P. [1 ]
机构
[1] Univ Seville, Escuela Tecn Super Ingn, Chem & Environm Engn Dept, Camino Descubrimientos S-N, Seville 41092, Spain
[2] Univ Manchester, Tyndall Ctr Climate Change Res, Dept Engn Sustainabil, Oxford Rd, Manchester M13 9PL, England
[3] Univ Manchester, UK Supergen Bioenergy Hub, Oxford Rd, Manchester M13 9PL, England
[4] Univ Amer Quito, Postgrad Fac, Ave Granados E12-41 & Colimes, Quito, Ecuador
来源
DATA IN BRIEF | 2024年 / 53卷
基金
英国生物技术与生命科学研究理事会; 英国工程与自然科学研究理事会;
关键词
Variable renewable energy; Biomass; Hydrogen; Curtailment; Hydrogen storage; Power sector; Decarbonisation; EFFICIENCY; HYDROGEN;
D O I
10.1016/j.dib.2024.110113
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The share of variable renewable energy (VRE) is forecasted to increase in the energy sector to meet decarbonization targets and/or reduce their dependence on fossil fuels. The modeling of future power system scenarios is crucial to assess the role of different flexibility options, including low -carbon technologies. The data presented here support the research article "The role of energy storage in Great Britain's future power system: focus on hydrogen and biomass". These data include updated parameters, inputs, equations, biomass resource potential and biomass demand to balance bio-power and bio-hydrogen requirements. The Future Renewable Energy Performance into the Power System Model (FEPPS), a rule -based model that includes flexibility and stability constraints, has been used, and the hourly results of future scenarios by 2030 and 2040 are provided. Researchers, policy makers, and investors could use this paper as these data provide insights into the role of different technologies (including hydrogen and biomass) in power generation, system flexibility, decarbonization and costs. (c) 2024 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY -NC -ND license ( http://creativecommons.org/licenses/by-nc-nd/4.0/ )
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页数:13
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