Energy consumption rectification to remove effects of different outdoor temperatures in degree-days

Shouchen Sun, Jiandong Wang, Qingdian Sun, Changsheng Zhao
{"title":"Energy consumption rectification to remove effects of different outdoor temperatures in degree-days","authors":"Shouchen Sun, Jiandong Wang, Qingdian Sun, Changsheng Zhao","doi":"10.1109/ICPS58381.2023.10128004","DOIUrl":null,"url":null,"abstract":"This paper presents an energy consumption rectification method based on heating degree-days. By using this method, the influence of different outdoor temperatures on energy consumption is eliminated, and the energy consumption at the same outdoor temperature is obtained. The linear relationship between heating energy consumption and degree-days is obtained through the physical model of heating house. A standard linear regression can obtain reliable estimates of unknown model parameters. Energy consumption values of different heating methods under the same external environment are calculated. The effect of outdoor temperatures on energy consumption is rectified by using a reliable estimate of the relationship between energy consumption and heating degree-days. Simulation examples based on Trnsys software demonstrate the effectiveness of the proposed method.","PeriodicalId":426122,"journal":{"name":"2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPS58381.2023.10128004","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

This paper presents an energy consumption rectification method based on heating degree-days. By using this method, the influence of different outdoor temperatures on energy consumption is eliminated, and the energy consumption at the same outdoor temperature is obtained. The linear relationship between heating energy consumption and degree-days is obtained through the physical model of heating house. A standard linear regression can obtain reliable estimates of unknown model parameters. Energy consumption values of different heating methods under the same external environment are calculated. The effect of outdoor temperatures on energy consumption is rectified by using a reliable estimate of the relationship between energy consumption and heating degree-days. Simulation examples based on Trnsys software demonstrate the effectiveness of the proposed method.
能耗整改,消除室外不同温度对度天的影响
提出了一种基于供热度日的能耗整改方法。采用该方法,消除了不同室外温度对能耗的影响,得到了相同室外温度下的能耗。通过采暖房的物理模型,得到了采暖能耗与度日的线性关系。标准线性回归可以得到未知模型参数的可靠估计。计算了相同外部环境下不同采暖方式的能耗值。室外温度对能源消耗的影响是通过使用能源消耗和采暖度日之间关系的可靠估计来纠正的。基于Trnsys软件的仿真实例验证了该方法的有效性。
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