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Simulating flexibility, variability and decentralisation with an integrated energy system model for Great Britain
Energy system models allow the development and assessment of ambitious transition pathways towards a sustainable energy system. However, current models lack adequate spatial and temporal resolution to capture the implications of a shift to decentralised energy supply and storage across multiple loca...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10036483/ https://www.ncbi.nlm.nih.gov/pubmed/36959198 http://dx.doi.org/10.1038/s41598-023-31257-9 |
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author | Chaudry, Modassar Jayasuriya, Lahiru Hall, Jim W. Jenkins, Nick Eyre, Nick Eggimann, Sven |
author_facet | Chaudry, Modassar Jayasuriya, Lahiru Hall, Jim W. Jenkins, Nick Eyre, Nick Eggimann, Sven |
author_sort | Chaudry, Modassar |
collection | PubMed |
description | Energy system models allow the development and assessment of ambitious transition pathways towards a sustainable energy system. However, current models lack adequate spatial and temporal resolution to capture the implications of a shift to decentralised energy supply and storage across multiple local energy vectors to meet spatially variable energy demand. There is also a lack of representation of interactions with the transport sector as well as national and local energy system operation. Here, we bridge these gaps with a high-resolution system-of-systems modelling framework which is applied to Great Britain to simulate differences between the performance of decarbonised energy systems in 2050 through two distinct strategies, an electric strategy and a multi-vector strategy prioritising a mix of fuels, including hydrogen. Within these strategies, we simulated the impacts of decentralised operation of the energy system given the variability of wind and across flexibility options including demand side management, battery storage and vehicle to grid services. Decentralised operation was shown to improve operational flexibility and maximise utilisation of renewables, whose electricity supplies can be cost-effectively converted to hydrogen or stored in batteries to meet peak electricity demands, therefore reducing carbon-intensive generation and the requirement for investment in expanding the electricity transmission network capacity. |
format | Online Article Text |
id | pubmed-10036483 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-100364832023-03-25 Simulating flexibility, variability and decentralisation with an integrated energy system model for Great Britain Chaudry, Modassar Jayasuriya, Lahiru Hall, Jim W. Jenkins, Nick Eyre, Nick Eggimann, Sven Sci Rep Article Energy system models allow the development and assessment of ambitious transition pathways towards a sustainable energy system. However, current models lack adequate spatial and temporal resolution to capture the implications of a shift to decentralised energy supply and storage across multiple local energy vectors to meet spatially variable energy demand. There is also a lack of representation of interactions with the transport sector as well as national and local energy system operation. Here, we bridge these gaps with a high-resolution system-of-systems modelling framework which is applied to Great Britain to simulate differences between the performance of decarbonised energy systems in 2050 through two distinct strategies, an electric strategy and a multi-vector strategy prioritising a mix of fuels, including hydrogen. Within these strategies, we simulated the impacts of decentralised operation of the energy system given the variability of wind and across flexibility options including demand side management, battery storage and vehicle to grid services. Decentralised operation was shown to improve operational flexibility and maximise utilisation of renewables, whose electricity supplies can be cost-effectively converted to hydrogen or stored in batteries to meet peak electricity demands, therefore reducing carbon-intensive generation and the requirement for investment in expanding the electricity transmission network capacity. Nature Publishing Group UK 2023-03-23 /pmc/articles/PMC10036483/ /pubmed/36959198 http://dx.doi.org/10.1038/s41598-023-31257-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Chaudry, Modassar Jayasuriya, Lahiru Hall, Jim W. Jenkins, Nick Eyre, Nick Eggimann, Sven Simulating flexibility, variability and decentralisation with an integrated energy system model for Great Britain |
title | Simulating flexibility, variability and decentralisation with an integrated energy system model for Great Britain |
title_full | Simulating flexibility, variability and decentralisation with an integrated energy system model for Great Britain |
title_fullStr | Simulating flexibility, variability and decentralisation with an integrated energy system model for Great Britain |
title_full_unstemmed | Simulating flexibility, variability and decentralisation with an integrated energy system model for Great Britain |
title_short | Simulating flexibility, variability and decentralisation with an integrated energy system model for Great Britain |
title_sort | simulating flexibility, variability and decentralisation with an integrated energy system model for great britain |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10036483/ https://www.ncbi.nlm.nih.gov/pubmed/36959198 http://dx.doi.org/10.1038/s41598-023-31257-9 |
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