基于卡尔曼滤波的MPC和LQI的建筑能效研究

I. Rădulescu, D. Stefanoiu
{"title":"基于卡尔曼滤波的MPC和LQI的建筑能效研究","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":"{\"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}","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

摘要

本文提出了一种冬季建筑高效供暖的策略。主要目标是通过将不可再生能源与可再生能源相结合来加热建筑物,通过模型预测控制和卡尔曼滤波的线性二次积分控制,根据使用时间将室内空气温度保持在参考温度,并考虑24小时内变化的电价,降低不可再生电采暖的成本。在MATLAB中对该方法进行了仿真,并给出了仿真结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Energy efficiency in buildings using MPC and LQI with Kalman filtering
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.
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
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