{"title":"Energy efficiency in buildings using MPC and LQI with Kalman filtering","authors":"I. Rădulescu, D. Stefanoiu","doi":"10.1109/ISEEE.2017.8170688","DOIUrl":null,"url":null,"abstract":"This article proposes a strategy for efficient heating in a building during winter season. The main objectives are to heat the building by combining non-renewable energy sources with renewable ones, to keep the indoor air temperature at a reference according to the hours of occupancy by using model predictive control and linear quadratic integral control with Kalman Filtering and to reduce the costs of non-renewable electric heating by taking into consideration the price of electricity which varies over 24h. The approach is simulated in MATLAB and the results are presented.","PeriodicalId":276733,"journal":{"name":"2017 5th International Symposium on Electrical and Electronics Engineering (ISEEE)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 5th International Symposium on Electrical and Electronics Engineering (ISEEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISEEE.2017.8170688","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 article proposes a strategy for efficient heating in a building during winter season. The main objectives are to heat the building by combining non-renewable energy sources with renewable ones, to keep the indoor air temperature at a reference according to the hours of occupancy by using model predictive control and linear quadratic integral control with Kalman Filtering and to reduce the costs of non-renewable electric heating by taking into consideration the price of electricity which varies over 24h. The approach is simulated in MATLAB and the results are presented.