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Least cost energy system pathways towards 100% renewable energy in Ireland by 2050
Studies focusing on 100% renewable energy systems have emerged in recent years; however, existing studies tend to focus only on the power sector using exploratory approaches. This paper therefore undertakes a whole-system approach and explores optimal pathways towards 100% renewable energy by 2050....
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier Ltd.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7338272/ https://www.ncbi.nlm.nih.gov/pubmed/32834421 http://dx.doi.org/10.1016/j.energy.2020.118264 |
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author | Yue, Xiufeng Patankar, Neha Decarolis, Joseph Chiodi, Alessandro Rogan, Fionn Deane, J.P. O’Gallachoir, Brian |
author_facet | Yue, Xiufeng Patankar, Neha Decarolis, Joseph Chiodi, Alessandro Rogan, Fionn Deane, J.P. O’Gallachoir, Brian |
author_sort | Yue, Xiufeng |
collection | PubMed |
description | Studies focusing on 100% renewable energy systems have emerged in recent years; however, existing studies tend to focus only on the power sector using exploratory approaches. This paper therefore undertakes a whole-system approach and explores optimal pathways towards 100% renewable energy by 2050. The analysis is carried out for Ireland, which currently has the highest share of variable renewable electricity on a synchronous power system. Large numbers of scenarios are developed using the Irish TIMES model to address uncertainties. Results show that compared to decarbonization targets, focusing on renewable penetration without considering carbon capture options is significantly less cost effective in carbon mitigation. Alternative assumptions on bioenergy imports and maximum variability in power generation lead to very different energy mixes in bioenergy and electrification levels. All pathways suggest that indigenous bioenergy needs to be fully exploited and the current annual deployment rate of renewable electricity needs a boost. Pathways relying on international bioenergy imports are slightly cheaper and faces less economic and technical challenges. However, given the large future uncertainties, it is recommended that further policy considerations be given to pathways with high electrification levels as they are more robust towards uncertainties. |
format | Online Article Text |
id | pubmed-7338272 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The Authors. Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-73382722020-07-07 Least cost energy system pathways towards 100% renewable energy in Ireland by 2050 Yue, Xiufeng Patankar, Neha Decarolis, Joseph Chiodi, Alessandro Rogan, Fionn Deane, J.P. O’Gallachoir, Brian Energy (Oxf) Article Studies focusing on 100% renewable energy systems have emerged in recent years; however, existing studies tend to focus only on the power sector using exploratory approaches. This paper therefore undertakes a whole-system approach and explores optimal pathways towards 100% renewable energy by 2050. The analysis is carried out for Ireland, which currently has the highest share of variable renewable electricity on a synchronous power system. Large numbers of scenarios are developed using the Irish TIMES model to address uncertainties. Results show that compared to decarbonization targets, focusing on renewable penetration without considering carbon capture options is significantly less cost effective in carbon mitigation. Alternative assumptions on bioenergy imports and maximum variability in power generation lead to very different energy mixes in bioenergy and electrification levels. All pathways suggest that indigenous bioenergy needs to be fully exploited and the current annual deployment rate of renewable electricity needs a boost. Pathways relying on international bioenergy imports are slightly cheaper and faces less economic and technical challenges. However, given the large future uncertainties, it is recommended that further policy considerations be given to pathways with high electrification levels as they are more robust towards uncertainties. The Authors. Published by Elsevier Ltd. 2020-09-15 2020-07-03 /pmc/articles/PMC7338272/ /pubmed/32834421 http://dx.doi.org/10.1016/j.energy.2020.118264 Text en © 2021 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Yue, Xiufeng Patankar, Neha Decarolis, Joseph Chiodi, Alessandro Rogan, Fionn Deane, J.P. O’Gallachoir, Brian Least cost energy system pathways towards 100% renewable energy in Ireland by 2050 |
title | Least cost energy system pathways towards 100% renewable energy in Ireland by 2050 |
title_full | Least cost energy system pathways towards 100% renewable energy in Ireland by 2050 |
title_fullStr | Least cost energy system pathways towards 100% renewable energy in Ireland by 2050 |
title_full_unstemmed | Least cost energy system pathways towards 100% renewable energy in Ireland by 2050 |
title_short | Least cost energy system pathways towards 100% renewable energy in Ireland by 2050 |
title_sort | least cost energy system pathways towards 100% renewable energy in ireland by 2050 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7338272/ https://www.ncbi.nlm.nih.gov/pubmed/32834421 http://dx.doi.org/10.1016/j.energy.2020.118264 |
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