Investigating alternative power supply solutions under long term uncertainty for offgrid-offshore fish farm: The case of Hinnøya island, Norway

IF 5.4 Q2 ENERGY & FUELS Smart Energy Pub Date : 2022-08-01 DOI:10.1016/j.segy.2022.100078
Dejene Assefa Hagos, Yongping Liu, Lizhen Huang
{"title":"Investigating alternative power supply solutions under long term uncertainty for offgrid-offshore fish farm: The case of Hinnøya island, Norway","authors":"Dejene Assefa Hagos,&nbsp;Yongping Liu,&nbsp;Lizhen Huang","doi":"10.1016/j.segy.2022.100078","DOIUrl":null,"url":null,"abstract":"<div><p>The aim of this paper is to explore potential least-cost decarbonisation solutions for an off-grid and offshore fish farm power supply system under long term uncertainty. The Hinnøya island in Norway is used as a use case. Three distinctive off-grid and grid-based alternative power supply solutions were proposed and studied as a replacement to the existing diesel power solution in a three-stage stochastic model and under two critical long-term uncertainties: (1) access to strong grid and (2) storage battery cost. The TIMES modelling framework is applied. The stochastic model results reveal that grid integrated storage is an optimal near-term investment for a storage battery cost of 295 €/kWh and less by 2025. In scenarios with no access to strong grid, grid integrated storage continues to be a least-cost solution in the long-term as well, whereas in those scenarios with strong grid access, new investment in storage is not required after 2030. Contrary to the stochastic model runs, the equivalent deterministic model runs showed that a hybrid wind and diesel solution is an optimal near-term investment. From 2030, however, a similar technology pattern in both stochastic and deterministic model runs are observed. Nevertheless, the results are very sensitive to the assumed storage battery costs. Higher storage costs (as high as 704 €/kWh by 2025) would make the hybrid wind and diesel solution an optimal solution instead of the grid integrated storage solution in near-term investment in both stochastic and deterministic model runs.</p></div>","PeriodicalId":34738,"journal":{"name":"Smart Energy","volume":"7 ","pages":"Article 100078"},"PeriodicalIF":5.4000,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666955222000168/pdfft?md5=071bcdca5d5c87b6f07e95f04566a662&pid=1-s2.0-S2666955222000168-main.pdf","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Smart Energy","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666955222000168","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 4

Abstract

The aim of this paper is to explore potential least-cost decarbonisation solutions for an off-grid and offshore fish farm power supply system under long term uncertainty. The Hinnøya island in Norway is used as a use case. Three distinctive off-grid and grid-based alternative power supply solutions were proposed and studied as a replacement to the existing diesel power solution in a three-stage stochastic model and under two critical long-term uncertainties: (1) access to strong grid and (2) storage battery cost. The TIMES modelling framework is applied. The stochastic model results reveal that grid integrated storage is an optimal near-term investment for a storage battery cost of 295 €/kWh and less by 2025. In scenarios with no access to strong grid, grid integrated storage continues to be a least-cost solution in the long-term as well, whereas in those scenarios with strong grid access, new investment in storage is not required after 2030. Contrary to the stochastic model runs, the equivalent deterministic model runs showed that a hybrid wind and diesel solution is an optimal near-term investment. From 2030, however, a similar technology pattern in both stochastic and deterministic model runs are observed. Nevertheless, the results are very sensitive to the assumed storage battery costs. Higher storage costs (as high as 704 €/kWh by 2025) would make the hybrid wind and diesel solution an optimal solution instead of the grid integrated storage solution in near-term investment in both stochastic and deterministic model runs.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
研究离岸离网养鱼场在长期不确定性下的替代电力供应解决方案:挪威Hinnøya岛的案例
本文的目的是探索在长期不确定的情况下,离网和海上养鱼场电力供应系统的潜在低成本脱碳解决方案。挪威的Hinnøya岛是一个用例。在三阶段随机模型和两个关键的长期不确定性条件下,提出并研究了三种不同的离网和基于电网的替代供电方案,作为现有柴油发电方案的替代方案:(1)接入强电网和(2)蓄电池成本。采用TIMES建模框架。随机模型结果显示,到2025年,电网集成储能是电池成本在295欧元/千瓦时及以下的短期最佳投资。在没有接入强电网的情况下,从长远来看,电网集成存储仍然是成本最低的解决方案,而在具有强电网接入的情况下,2030年后不需要对存储进行新的投资。与随机模型运行相反,等效确定性模型运行表明,风能和柴油混合解决方案是最优的近期投资。然而,从2030年开始,在随机和确定性模型运行中观察到类似的技术模式。然而,结果对假定的蓄电池成本非常敏感。更高的存储成本(到2025年将高达704欧元/千瓦时)将使风能和柴油混合解决方案成为短期投资的最佳解决方案,而不是电网集成存储解决方案,无论是随机还是确定性模型运行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Smart Energy
Smart Energy Engineering-Mechanical Engineering
CiteScore
9.20
自引率
0.00%
发文量
29
审稿时长
73 days
期刊最新文献
Optimization of baseload electricity and hydrogen services by renewables for a nuclear-sized district in South Italy Optimizing solar energy integration in Tallinn's district heating and cooling systems Predictive building energy management with user feedback in the loop Optimal energy management in smart energy systems: A deep reinforcement learning approach and a digital twin case-study Economic viability of decentralised battery storage systems for single-family buildings up to cross-building utilisation
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1