Indoor thermal comfort analysis for developing energy-saving strategies in buildings

P. Papadopoulos, I. Kyprianou, M. Shahid, S. Erba, F. Wurtz, B. Delinchant, P. Riederer, Mohammadreza Aghaei, S. Carlucci
{"title":"Indoor thermal comfort analysis for developing energy-saving strategies in buildings","authors":"P. Papadopoulos, I. Kyprianou, M. Shahid, S. Erba, F. Wurtz, B. Delinchant, P. Riederer, Mohammadreza Aghaei, S. Carlucci","doi":"10.1109/FES57669.2023.10183297","DOIUrl":null,"url":null,"abstract":"Humans spend most of their time indoors, whether in their place of residence or work, with large amounts of energy consumed to create comfortable living conditions. Buildings are, therefore, accountable for a considerable proportion of global energy demand; within them, heating, ventilation, and air-conditioning systems constitute major energy drains. Traditionally, these systems are controlled by conventional, mainly static set points, but research has shown that substantial energy savings can be achieved by applying adaptive ones. This work aims to showcase the lower energy consumption achievable when employing adaptive over static approaches, using empirical data from a non-residential living lab. Assessments of rational and adaptive thermal comfort indices over the energy used in HVAC systems are provided, and the energy-saving potential of adaptive thermal comfort models in the design of HVAC control algorithms is estimated. The findings of this work highlight that controlling indoor setpoint temperature according to the adaptive comfort model can achieve energy savings from 15% up to 33%, compared to the rational one, while providing a satisfactory thermal environment.","PeriodicalId":165790,"journal":{"name":"2023 International Conference on Future Energy Solutions (FES)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Future Energy Solutions (FES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FES57669.2023.10183297","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Humans spend most of their time indoors, whether in their place of residence or work, with large amounts of energy consumed to create comfortable living conditions. Buildings are, therefore, accountable for a considerable proportion of global energy demand; within them, heating, ventilation, and air-conditioning systems constitute major energy drains. Traditionally, these systems are controlled by conventional, mainly static set points, but research has shown that substantial energy savings can be achieved by applying adaptive ones. This work aims to showcase the lower energy consumption achievable when employing adaptive over static approaches, using empirical data from a non-residential living lab. Assessments of rational and adaptive thermal comfort indices over the energy used in HVAC systems are provided, and the energy-saving potential of adaptive thermal comfort models in the design of HVAC control algorithms is estimated. The findings of this work highlight that controlling indoor setpoint temperature according to the adaptive comfort model can achieve energy savings from 15% up to 33%, compared to the rational one, while providing a satisfactory thermal environment.
室内热舒适分析为制定建筑节能策略提供依据
人类大部分时间都在室内度过,无论是在居住地还是工作场所,都要消耗大量的能源来创造舒适的生活条件。因此,建筑在全球能源需求中占相当大的比例;其中,供暖、通风和空调系统构成了主要的能源消耗。传统上,这些系统主要由传统的静态设定值控制,但研究表明,通过应用自适应设定值可以实现大量的节能。这项工作旨在展示采用自适应静态方法时可实现的较低能耗,使用来自非住宅生活实验室的经验数据。给出了合理热舒适和自适应热舒适指标对暖通空调系统能耗的评价,并估计了自适应热舒适模型在暖通空调控制算法设计中的节能潜力。研究结果表明,在提供满意的热环境的同时,根据自适应舒适模型控制室内设定值温度,与理性模型相比,可实现节能15%至33%。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信