{"title":"能耗整改,消除室外不同温度对度天的影响","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":"{\"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}","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}
Energy consumption rectification to remove effects of different outdoor temperatures in degree-days
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.