Analysing sector coupling technologies for Re-purposing coal-fired power plants–Case study for the ENTSO-E grid

IF 1.6 Q4 ENERGY & FUELS IET Energy Systems Integration Pub Date : 2022-12-07 DOI:10.1049/esi2.12087
Anna Traupmann, Matthias Greiml, Josef Steinegger, Lisa Kühberger, Thomas Kienberger
{"title":"Analysing sector coupling technologies for Re-purposing coal-fired power plants–Case study for the ENTSO-E grid","authors":"Anna Traupmann,&nbsp;Matthias Greiml,&nbsp;Josef Steinegger,&nbsp;Lisa Kühberger,&nbsp;Thomas Kienberger","doi":"10.1049/esi2.12087","DOIUrl":null,"url":null,"abstract":"<p>The high emission intensity of coal-fired power plants (CFPP) leads to the inevitable next step towards energy transition, the coal phase-out. One challenge is the subsequent use of still-functioning assets. Re-purposing these assets avoids value loss and creates new opportunities for coal regions. Therefore, this study considers the sector coupling technologies Power-to-Gas (PtG) and Gas-to-Power (GtP) as re-purposing options. First, a multi-variable Mixed-Integer Linear Programming optimisation model is established. This model includes the participation of the plant in the current (2020) and future (2030, 2040) electricity and natural gas spot-markets and the balancing power market while fulfilling existing contracts, and allows for determining the re-purposing technologies' operating profiles. By applying a techno-economic analysis, investment recovery periods of the considered re-purposing technologies are assessed, which range between two (GtP) and over ten (PtG) years. A sensitivity analysis accounting for current energy prices and technological advancements reveals capital expenditure has the highest impact on this Return-On-Investment period. Additionally, a case study considering the Austrian energy grids is performed to account for the grid impact of integrating these technologies at former CFPP sites. Thus, it is found that the investigated sector coupling technologies have the potential to compensate for grid congestions even in profit-optimised operation.</p>","PeriodicalId":33288,"journal":{"name":"IET Energy Systems Integration","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/esi2.12087","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IET Energy Systems Integration","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/esi2.12087","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0

Abstract

The high emission intensity of coal-fired power plants (CFPP) leads to the inevitable next step towards energy transition, the coal phase-out. One challenge is the subsequent use of still-functioning assets. Re-purposing these assets avoids value loss and creates new opportunities for coal regions. Therefore, this study considers the sector coupling technologies Power-to-Gas (PtG) and Gas-to-Power (GtP) as re-purposing options. First, a multi-variable Mixed-Integer Linear Programming optimisation model is established. This model includes the participation of the plant in the current (2020) and future (2030, 2040) electricity and natural gas spot-markets and the balancing power market while fulfilling existing contracts, and allows for determining the re-purposing technologies' operating profiles. By applying a techno-economic analysis, investment recovery periods of the considered re-purposing technologies are assessed, which range between two (GtP) and over ten (PtG) years. A sensitivity analysis accounting for current energy prices and technological advancements reveals capital expenditure has the highest impact on this Return-On-Investment period. Additionally, a case study considering the Austrian energy grids is performed to account for the grid impact of integrating these technologies at former CFPP sites. Thus, it is found that the investigated sector coupling technologies have the potential to compensate for grid congestions even in profit-optimised operation.

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
燃煤电厂改造的扇区耦合技术分析——以ENTSO - E电网为例
燃煤电厂的高排放强度必然导致能源转型的下一步,即逐步淘汰煤炭。其中一个挑战是后续使用仍在运行的资产。重新利用这些资产可以避免价值损失,并为煤炭地区创造新的机会。因此,本研究考虑了电力到天然气(PtG)和天然气到电力(GtP)的行业耦合技术作为重新利用的选择。首先,建立了多变量混合整数线性规划优化模型。该模型包括工厂在履行现有合同的同时参与当前(2020年)和未来(2030年、2040年)的电力和天然气现货市场以及平衡电力市场,并允许确定重新利用技术的运营概况。通过应用技术经济分析,评估了所考虑的重新利用技术的投资回收期,其范围在2年(GtP)到10年(PtG)之间。考虑到当前能源价格和技术进步的敏感性分析显示,资本支出对这一投资回报率的影响最大。此外,还对奥地利的电网进行了案例研究,以说明在原CFPP站点整合这些技术对电网的影响。因此,研究发现,即使在利润优化的操作中,所研究的扇区耦合技术也有可能补偿电网拥塞。
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
IET Energy Systems Integration
IET Energy Systems Integration Engineering-Engineering (miscellaneous)
CiteScore
5.90
自引率
8.30%
发文量
29
审稿时长
11 weeks
期刊最新文献
Experimental and model analysis of the thermoelectric characteristics of serial arc in prismatic lithium‐ion batteries Low‐carbon economic operation of multi‐energy microgrid based on multi‐level robust optimisation Anti‐interference lithium‐ion battery intelligent perception for thermal fault detection and localization A reinforcement learning method for two-layer shipboard real-time energy management considering battery state estimation Estimation and prediction method of lithium battery state of health based on ridge regression and gated recurrent unit
×
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