Energy Flexibility for Systems with large Thermal Masses with Applications to Shopping Centers

J. Petersen, J. Bendtsen, Pierre J. C. Vogler-Finck, J. Stoustrup
{"title":"Energy Flexibility for Systems with large Thermal Masses with Applications to Shopping Centers","authors":"J. Petersen, J. Bendtsen, Pierre J. C. Vogler-Finck, J. Stoustrup","doi":"10.1109/SmartGridComm.2018.8587444","DOIUrl":null,"url":null,"abstract":"In this paper we propose a scheme for managing energy flexibility in buildings with significant thermal masses and centralized climate control, such as commercial buildings, which can be used to provide ancillary services to the local electrical system (demand response). The scheme relies on being able to manipulate the forward flow temperature in the climate control system along with heating/cooling of zones of the building, and thereby controlling the electrical power consumption of the system. A Model Predictive Control law is formulated to provide pre-storage of thermal energy in the manipulated zones without violating comfort requirements. The scheme is illustrated on a case study of a Danish shopping center, from which actual heating/cooling data have been collected for identification of thermal dynamics. The Coefficient of Performance of the system’s chiller is assumed to have a known dependence on flow and temperature, which is exploited to relate electrical power consumption to forward flow temperature. Simulation studies indicate potentials for significant power curtailment, in the order of 100 kW for one hour for the shopping center as a whole.","PeriodicalId":213523,"journal":{"name":"2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SmartGridComm.2018.8587444","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

In this paper we propose a scheme for managing energy flexibility in buildings with significant thermal masses and centralized climate control, such as commercial buildings, which can be used to provide ancillary services to the local electrical system (demand response). The scheme relies on being able to manipulate the forward flow temperature in the climate control system along with heating/cooling of zones of the building, and thereby controlling the electrical power consumption of the system. A Model Predictive Control law is formulated to provide pre-storage of thermal energy in the manipulated zones without violating comfort requirements. The scheme is illustrated on a case study of a Danish shopping center, from which actual heating/cooling data have been collected for identification of thermal dynamics. The Coefficient of Performance of the system’s chiller is assumed to have a known dependence on flow and temperature, which is exploited to relate electrical power consumption to forward flow temperature. Simulation studies indicate potentials for significant power curtailment, in the order of 100 kW for one hour for the shopping center as a whole.
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
大热质量系统的能量灵活性及其在购物中心的应用
在本文中,我们提出了一种方案,用于管理具有显著热质量和集中气候控制的建筑的能源灵活性,例如商业建筑,可用于为当地电力系统提供辅助服务(需求响应)。该方案依赖于能够操纵气候控制系统中的前流温度以及建筑区域的加热/冷却,从而控制系统的电力消耗。在不违反舒适性要求的情况下,制定了模型预测控制律,在被操纵区域提供热能的预储存。该方案以丹麦购物中心为例进行了说明,从中收集了实际的加热/冷却数据,以确定热动力学。系统的冷水机组的性能系数被假设有一个已知的依赖于流量和温度,这是利用来联系电力消耗向前流动温度。模拟研究表明,整个购物中心一小时的电力削减可能达到100千瓦。
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
自引率
0.00%
发文量
0
期刊最新文献
Behind-the-Meter Solar Generation Disaggregation using Consumer Mixture Models Coordinated Planning of Multi-Energy System with District Heating Network A Cost-efficient Software Testbed for Cyber-Physical Security in IEC 61850-based Substations Joint Optimal Power Flow Routing and Decentralized Scheduling with Vehicle-to-Grid Regulation Service Energy Flexibility for Systems with large Thermal Masses with Applications to Shopping Centers
×
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