Optimization of heating curves for heat pumps in operation: Outdoor temperature ranges for energy-efficient heating curve shifts

IF 11 1区 工程技术 Q1 ENERGY & FUELS Applied Energy Pub Date : 2025-07-01 Epub Date: 2025-03-26 DOI:10.1016/j.apenergy.2025.125725
Ugne Potthoff , Tobias Brudermueller , Konstantin Hopf , Felix Wortmann
{"title":"Optimization of heating curves for heat pumps in operation: Outdoor temperature ranges for energy-efficient heating curve shifts","authors":"Ugne Potthoff ,&nbsp;Tobias Brudermueller ,&nbsp;Konstantin Hopf ,&nbsp;Felix Wortmann","doi":"10.1016/j.apenergy.2025.125725","DOIUrl":null,"url":null,"abstract":"<div><div>In the light of global sustainability efforts, heat pumps offer environmental benefits, but their complexity and potential misconfigurations often lead to homeowner dissatisfaction due to inaccurate heating and lower-than-expected efficiency. Among the most important and complex settings is the heating curve and yet there are no easy-to-use methods to optimize it after its initial set-up. This study aims to develop ready-to-use guidelines for optimizing the heating curve with energy-efficient adjustments that improve room comfort and prevent suboptimal user changes, all without requiring additional sensors like room thermostats. Based on interpretable linear models, estimated on 3995 air-to-water heat pumps, located in Central Europe, we select the least energy-intensive heating curve shift for each outdoor temperature, needed to meet room thermal comfort. We find that the standard parallel shift of the heating curve is only the optimal approach when the average outdoor temperature is between 2 <span><math><msup><mspace></mspace><mrow><mo>∘</mo></mrow></msup></math></span>C and 5 <span><math><msup><mspace></mspace><mrow><mo>∘</mo></mrow></msup></math></span>C. Outside this range, the heating curve should be moved at its starting or the endpoint. Simulation shows that by translating user input to the room controller with our proposed changes, 84.42 % of the heating curves can be improved, reducing the share of misconfigured heating curves from 24.01 % to 7.08 %. This leads to an average reduction in yearly energy consumption of 4.02 % and an increase in the seasonal coefficient of performance by 2.59 % on average. By introducing ready-to-use heating curve improvement guidelines, we aim to increase efficiency and confidence in heat pump technology, ensuring its adoption to meet carbon emission targets.</div></div>","PeriodicalId":246,"journal":{"name":"Applied Energy","volume":"389 ","pages":"Article 125725"},"PeriodicalIF":11.0000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Energy","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0306261925004556","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/3/26 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0

Abstract

In the light of global sustainability efforts, heat pumps offer environmental benefits, but their complexity and potential misconfigurations often lead to homeowner dissatisfaction due to inaccurate heating and lower-than-expected efficiency. Among the most important and complex settings is the heating curve and yet there are no easy-to-use methods to optimize it after its initial set-up. This study aims to develop ready-to-use guidelines for optimizing the heating curve with energy-efficient adjustments that improve room comfort and prevent suboptimal user changes, all without requiring additional sensors like room thermostats. Based on interpretable linear models, estimated on 3995 air-to-water heat pumps, located in Central Europe, we select the least energy-intensive heating curve shift for each outdoor temperature, needed to meet room thermal comfort. We find that the standard parallel shift of the heating curve is only the optimal approach when the average outdoor temperature is between 2 C and 5 C. Outside this range, the heating curve should be moved at its starting or the endpoint. Simulation shows that by translating user input to the room controller with our proposed changes, 84.42 % of the heating curves can be improved, reducing the share of misconfigured heating curves from 24.01 % to 7.08 %. This leads to an average reduction in yearly energy consumption of 4.02 % and an increase in the seasonal coefficient of performance by 2.59 % on average. By introducing ready-to-use heating curve improvement guidelines, we aim to increase efficiency and confidence in heat pump technology, ensuring its adoption to meet carbon emission targets.
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
运行中的热泵加热曲线的优化:室外温度范围节能加热曲线的变化
鉴于全球可持续发展的努力,热泵提供环境效益,但其复杂性和潜在的错误配置往往导致业主不满,由于不准确的加热和低于预期的效率。其中最重要和最复杂的设置是加热曲线,但在初始设置之后,没有简单易用的方法来优化它。本研究旨在制定即用型指南,通过节能调节优化加热曲线,提高房间舒适度,防止次优用户变化,所有这些都不需要额外的传感器,如房间恒温器。根据中欧3995个空气-水热泵估算的可解释线性模型,我们选择了满足室内热舒适所需的每种室外温度的最小能耗加热曲线位移。我们发现,只有当室外平均温度在2°C到5°C之间时,加热曲线的标准平行位移才是最优的方法。在此范围之外,加热曲线应在其起点或终点移动。仿真结果表明,通过将用户输入转换为房间控制器,可以改善84.42 %的加热曲线,将错误配置的加热曲线比例从24.01 %降低到7.08 %。这使得每年的能源消耗平均减少4.02 %,季节性性能系数平均增加2.59 %。通过引入即用热曲线改善指引,我们旨在提高热泵技术的效率和信心,确保采用热泵技术达到碳排放目标。
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
Applied Energy
Applied Energy 工程技术-工程:化工
CiteScore
21.20
自引率
10.70%
发文量
1830
审稿时长
41 days
期刊介绍: Applied Energy serves as a platform for sharing innovations, research, development, and demonstrations in energy conversion, conservation, and sustainable energy systems. The journal covers topics such as optimal energy resource use, environmental pollutant mitigation, and energy process analysis. It welcomes original papers, review articles, technical notes, and letters to the editor. Authors are encouraged to submit manuscripts that bridge the gap between research, development, and implementation. The journal addresses a wide spectrum of topics, including fossil and renewable energy technologies, energy economics, and environmental impacts. Applied Energy also explores modeling and forecasting, conservation strategies, and the social and economic implications of energy policies, including climate change mitigation. It is complemented by the open-access journal Advances in Applied Energy.
期刊最新文献
Privacy-preserving transfer learning framework for building energy forecasting with fully anonymized data Robust Koopman EMPC for optimal frequency regulation of VSC-MTDC systems Operational decision of wind–photovoltaic–energy storage integrated system in day-ahead and ancillary service joint market considering weather variability Collaborative governance of carbon mitigation, energy transition, and material management: A factorial non-deterministic carbon-energy-metal nexus optimization model Systematic under-representation of ERA5 10 m wind speeds in the ERA5-land product undermines wind energy studies
×
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:604180095
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