Integrating district heating potentials into European energy system modelling: An assessment of cost advantages of renewable and excess heat

IF 5.4 Q2 ENERGY & FUELS Smart Energy Pub Date : 2024-08-01 DOI:10.1016/j.segy.2024.100150
Anna Billerbeck , Christiane Bernath , Pia Manz , Gerda Deac , Anne Held , Jenny Winkler , Ali Kök , Mario Ragwitz
{"title":"Integrating district heating potentials into European energy system modelling: An assessment of cost advantages of renewable and excess heat","authors":"Anna Billerbeck ,&nbsp;Christiane Bernath ,&nbsp;Pia Manz ,&nbsp;Gerda Deac ,&nbsp;Anne Held ,&nbsp;Jenny Winkler ,&nbsp;Ali Kök ,&nbsp;Mario Ragwitz","doi":"10.1016/j.segy.2024.100150","DOIUrl":null,"url":null,"abstract":"<div><p>This paper takes a novel modelling approach by considering high spatial resolution heat generation potentials for district heating and integrating them into a European energy system model. Subsequently, a modelling analysis of an integrated energy system including district heating, electricity and hydrogen supply for 25 EU Member States and the year 2050 is carried out. In contrast to existing approaches, the modelling approach captures the heterogeneous resource availability in district heating. The results show multivalent district heating networks based on a wide range of renewable and excess heat sources used directly or in combination with large-scale heat pumps. The high spatial resolution of the heat generation potentials allows a detailed cost comparison of different possible future technology mixes in district heating. The paper finds that the use of heat pumps, geothermal energy and industrial excess heat offer slight cost advantages for the energy system as a whole. Geothermal heat can also provide cost advantages for district heating generation.</p></div>","PeriodicalId":34738,"journal":{"name":"Smart Energy","volume":"15 ","pages":"Article 100150"},"PeriodicalIF":5.4000,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666955224000200/pdfft?md5=e5a0a2166909afcfadd4282ed0dfdeaa&pid=1-s2.0-S2666955224000200-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Smart Energy","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666955224000200","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: 0

Abstract

This paper takes a novel modelling approach by considering high spatial resolution heat generation potentials for district heating and integrating them into a European energy system model. Subsequently, a modelling analysis of an integrated energy system including district heating, electricity and hydrogen supply for 25 EU Member States and the year 2050 is carried out. In contrast to existing approaches, the modelling approach captures the heterogeneous resource availability in district heating. The results show multivalent district heating networks based on a wide range of renewable and excess heat sources used directly or in combination with large-scale heat pumps. The high spatial resolution of the heat generation potentials allows a detailed cost comparison of different possible future technology mixes in district heating. The paper finds that the use of heat pumps, geothermal energy and industrial excess heat offer slight cost advantages for the energy system as a whole. Geothermal heat can also provide cost advantages for district heating generation.

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
将区域供热潜力纳入欧洲能源系统建模:评估可再生能源和过剩热量的成本优势
本文采用了一种新颖的建模方法,考虑了区域供热的高空间分辨率发热潜力,并将其纳入欧洲能源系统模型。随后,对 25 个欧盟成员国和 2050 年的综合能源系统(包括区域供热、电力和氢气供应)进行了建模分析。与现有方法相比,该建模方法捕捉到了区域供热中的异质资源可用性。结果表明,基于直接使用或与大型热泵结合使用的各种可再生热源和过剩热源的多价区域供热网络。高空间分辨率的制热潜力允许对区域供热未来可能采用的不同技术组合进行详细的成本比较。论文发现,使用热泵、地热能和工业过剩热量可为整个能源系统带来轻微的成本优势。地热也能为区域供热带来成本优势。
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