从天气和占用变化的动态温度设定值中揭示节能的奥秘

Q1 Engineering
Riccardo Talami, Ilyas Dawoodjee, Ali Ghahramani
{"title":"从天气和占用变化的动态温度设定值中揭示节能的奥秘","authors":"Riccardo Talami,&nbsp;Ilyas Dawoodjee,&nbsp;Ali Ghahramani","doi":"10.1016/j.enbenv.2023.07.001","DOIUrl":null,"url":null,"abstract":"<div><p>Building temperature setpoints affect both HVAC energy consumption and occupant comfort. To reduce HVAC energy usage, researchers often investigate how system operations can be optimized under weather and occupancy variability subject to a fixed setpoint that minimizes any possible discomfort. While previous research has explored the selection of dynamic setpoints to minimize HVAC energy consumption based on outdoor temperature, they have often neglected the impact of varying occupancy rates on the setpoints. This paper aims to demystify energy savings derived from fixed and dynamic temperature setpoints under weather and occupancy variability and explores the additional energy savings that can be achieved through dynamic temperature setpoints. An exhaustive HVAC zone temperature setpoint optimizer was developed to determine dynamic setpoints with respect to weather and occupancy (i.e., setpoints that minimize HVAC energy consumption at different occupancy rates based on outdoor weather). U.S. DOE reference building energy models for small, medium, and large office buildings were simulated at 17 climate zones, 4 occupancy rates (25%, 50%, 75%, 100%) and 7 setpoints (19.5°C to 25.5°C at 1°C interval). It was found that, both fixed and dynamic setpoints benefit from the energy reduction of approximately 2-4% from the lower heat generated by the occupants at lower occupancy rates. However, at outdoor temperatures between 5°C and 32°C where occupant heat loads can swing the building between heating, free-running, and cooling modes, dynamic setpoints yield additional 2-10% energy savings, compared to fixed setpoints.</p></div>","PeriodicalId":33659,"journal":{"name":"Energy and Built Environment","volume":"5 6","pages":"Pages 878-888"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666123323000612/pdfft?md5=70e481b02bb64ba4441bf5bb7cd55495&pid=1-s2.0-S2666123323000612-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Demystifying energy savings from dynamic temperature setpoints under weather and occupancy variability\",\"authors\":\"Riccardo Talami,&nbsp;Ilyas Dawoodjee,&nbsp;Ali Ghahramani\",\"doi\":\"10.1016/j.enbenv.2023.07.001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Building temperature setpoints affect both HVAC energy consumption and occupant comfort. To reduce HVAC energy usage, researchers often investigate how system operations can be optimized under weather and occupancy variability subject to a fixed setpoint that minimizes any possible discomfort. While previous research has explored the selection of dynamic setpoints to minimize HVAC energy consumption based on outdoor temperature, they have often neglected the impact of varying occupancy rates on the setpoints. This paper aims to demystify energy savings derived from fixed and dynamic temperature setpoints under weather and occupancy variability and explores the additional energy savings that can be achieved through dynamic temperature setpoints. An exhaustive HVAC zone temperature setpoint optimizer was developed to determine dynamic setpoints with respect to weather and occupancy (i.e., setpoints that minimize HVAC energy consumption at different occupancy rates based on outdoor weather). U.S. DOE reference building energy models for small, medium, and large office buildings were simulated at 17 climate zones, 4 occupancy rates (25%, 50%, 75%, 100%) and 7 setpoints (19.5°C to 25.5°C at 1°C interval). It was found that, both fixed and dynamic setpoints benefit from the energy reduction of approximately 2-4% from the lower heat generated by the occupants at lower occupancy rates. However, at outdoor temperatures between 5°C and 32°C where occupant heat loads can swing the building between heating, free-running, and cooling modes, dynamic setpoints yield additional 2-10% energy savings, compared to fixed setpoints.</p></div>\",\"PeriodicalId\":33659,\"journal\":{\"name\":\"Energy and Built Environment\",\"volume\":\"5 6\",\"pages\":\"Pages 878-888\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-07-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2666123323000612/pdfft?md5=70e481b02bb64ba4441bf5bb7cd55495&pid=1-s2.0-S2666123323000612-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Energy and Built Environment\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666123323000612\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy and Built Environment","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666123323000612","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0

摘要

建筑物温度设定点既影响暖通空调系统的能耗,也影响居住者的舒适度。为了减少暖通空调系统的能源消耗,研究人员通常会研究如何在天气和占用率多变的情况下优化系统运行,以最大限度地减少任何可能的不适感。以往的研究探讨了如何根据室外温度选择动态设定点,以最大限度地降低暖通空调系统的能耗,但往往忽略了入住率变化对设定点的影响。本文旨在揭开固定温度设定点和动态温度设定点在天气和占用率多变的情况下所产生的节能效果的神秘面纱,并探讨动态温度设定点可实现的额外节能效果。我们开发了一个详尽的暖通空调区域温度设定点优化器,以确定与天气和占用率相关的动态设定点(即在基于室外天气的不同占用率下最大限度降低暖通空调能耗的设定点)。在 17 个气候区、4 种占用率(25%、50%、75%、100%)和 7 个设定点(19.5°C 至 25.5°C,间隔 1°C)下,对美国能源部的小型、中型和大型办公建筑的参考建筑能耗模型进行了模拟。结果发现,在较低的占用率下,固定设定点和动态设定点都能从占用者产生的较低热量中获益,减少约 2-4% 的能源。然而,当室外温度在 5°C 至 32°C 之间时,居住者的热负荷会使建筑物在供暖、自由运行和制冷模式之间摇摆,与固定设定点相比,动态设定点可额外节能 2-10%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Demystifying energy savings from dynamic temperature setpoints under weather and occupancy variability

Demystifying energy savings from dynamic temperature setpoints under weather and occupancy variability

Building temperature setpoints affect both HVAC energy consumption and occupant comfort. To reduce HVAC energy usage, researchers often investigate how system operations can be optimized under weather and occupancy variability subject to a fixed setpoint that minimizes any possible discomfort. While previous research has explored the selection of dynamic setpoints to minimize HVAC energy consumption based on outdoor temperature, they have often neglected the impact of varying occupancy rates on the setpoints. This paper aims to demystify energy savings derived from fixed and dynamic temperature setpoints under weather and occupancy variability and explores the additional energy savings that can be achieved through dynamic temperature setpoints. An exhaustive HVAC zone temperature setpoint optimizer was developed to determine dynamic setpoints with respect to weather and occupancy (i.e., setpoints that minimize HVAC energy consumption at different occupancy rates based on outdoor weather). U.S. DOE reference building energy models for small, medium, and large office buildings were simulated at 17 climate zones, 4 occupancy rates (25%, 50%, 75%, 100%) and 7 setpoints (19.5°C to 25.5°C at 1°C interval). It was found that, both fixed and dynamic setpoints benefit from the energy reduction of approximately 2-4% from the lower heat generated by the occupants at lower occupancy rates. However, at outdoor temperatures between 5°C and 32°C where occupant heat loads can swing the building between heating, free-running, and cooling modes, dynamic setpoints yield additional 2-10% energy savings, compared to fixed setpoints.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Energy and Built Environment
Energy and Built Environment Engineering-Building and Construction
CiteScore
15.90
自引率
0.00%
发文量
104
审稿时长
49 days
×
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:481959085
Book学术官方微信