{"title":"基于eQUEST软件的高校系楼能耗分析","authors":"Naman Garg, B. Saxena, Sanjeev Mishra","doi":"10.1109/ICICT46931.2019.8977663","DOIUrl":null,"url":null,"abstract":"Buildings are one of the major contributors to the consumption of electrical energy generated by power plants. Taking the context of India, out of total generated energy 30% is consumed by building sectors. Therefore, this paper focuses on reducing the total energy demand for a building by applying several improvements like reducing loads, applying insulation, etc. Optimum demand of a department of University is estimated using eQUEST software version 3.65.7175 in this research and comparative results are obtained. The present research focuses on only connected load and improvement methods have been suggested which can save a total of about Rs. 31,507/-. An estimated payback period of 7.9 year is also calculated for the replacement of new equipment’s with the present one.","PeriodicalId":412668,"journal":{"name":"2019 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Energy Analysis of University Department Building Using eQUEST Software\",\"authors\":\"Naman Garg, B. Saxena, Sanjeev Mishra\",\"doi\":\"10.1109/ICICT46931.2019.8977663\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Buildings are one of the major contributors to the consumption of electrical energy generated by power plants. Taking the context of India, out of total generated energy 30% is consumed by building sectors. Therefore, this paper focuses on reducing the total energy demand for a building by applying several improvements like reducing loads, applying insulation, etc. Optimum demand of a department of University is estimated using eQUEST software version 3.65.7175 in this research and comparative results are obtained. The present research focuses on only connected load and improvement methods have been suggested which can save a total of about Rs. 31,507/-. An estimated payback period of 7.9 year is also calculated for the replacement of new equipment’s with the present one.\",\"PeriodicalId\":412668,\"journal\":{\"name\":\"2019 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)\",\"volume\":\"85 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICT46931.2019.8977663\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICT46931.2019.8977663","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Energy Analysis of University Department Building Using eQUEST Software
Buildings are one of the major contributors to the consumption of electrical energy generated by power plants. Taking the context of India, out of total generated energy 30% is consumed by building sectors. Therefore, this paper focuses on reducing the total energy demand for a building by applying several improvements like reducing loads, applying insulation, etc. Optimum demand of a department of University is estimated using eQUEST software version 3.65.7175 in this research and comparative results are obtained. The present research focuses on only connected load and improvement methods have been suggested which can save a total of about Rs. 31,507/-. An estimated payback period of 7.9 year is also calculated for the replacement of new equipment’s with the present one.