Demand Pattern of Decentralized Fixed Speed Compressor Air-Conditioning Systems and Demand Response Potential

M. Boralessa, V. Saravanan, K.T.M.U. Hemapala
{"title":"Demand Pattern of Decentralized Fixed Speed Compressor Air-Conditioning Systems and Demand Response Potential","authors":"M. Boralessa, V. Saravanan, K.T.M.U. Hemapala","doi":"10.1109/icpedc47771.2019.9036628","DOIUrl":null,"url":null,"abstract":"this research focus on obtaining the demand pattern of fixed speed compressor air conditioning systems (FSCAC) and analyze their demand response potential. First an experiment is done to get the demand pattern of a FSCAC and then a model is developed to simulate the power consumption using available thermal model of a house in MATLAB/Simulink. Using this model, an aggregated model of a building is created to simulate the real world power consumption. Building model is used to show the demand reduction capability by increasing thermostat temperature set points. 50%-60% reduction of running average demand of the building is obtained by 4 °C increase of thermostat set point. The thermal model of a house is then altered to get the energy consumption of a FSCAC. It is shown that 50% energy reduction in 24 hours of operation is possible by 4 °C increase of thermostat set point.","PeriodicalId":426923,"journal":{"name":"2019 2nd International Conference on Power and Embedded Drive Control (ICPEDC)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 2nd International Conference on Power and Embedded Drive Control (ICPEDC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icpedc47771.2019.9036628","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

this research focus on obtaining the demand pattern of fixed speed compressor air conditioning systems (FSCAC) and analyze their demand response potential. First an experiment is done to get the demand pattern of a FSCAC and then a model is developed to simulate the power consumption using available thermal model of a house in MATLAB/Simulink. Using this model, an aggregated model of a building is created to simulate the real world power consumption. Building model is used to show the demand reduction capability by increasing thermostat temperature set points. 50%-60% reduction of running average demand of the building is obtained by 4 °C increase of thermostat set point. The thermal model of a house is then altered to get the energy consumption of a FSCAC. It is shown that 50% energy reduction in 24 hours of operation is possible by 4 °C increase of thermostat set point.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
分散定速压缩机空调系统的需求模式及需求响应潜力
本研究的重点是获得定速压缩机空调系统的需求模式,并分析其需求响应潜力。首先通过实验得到了FSCAC的需求模式,然后在MATLAB/Simulink中利用现有的房屋热模型建立了FSCAC的功耗模拟模型。使用此模型,可以创建建筑物的聚合模型来模拟真实世界的功耗。建筑模型显示了通过增加恒温器温度设定点来减少需求的能力。温控器设定点每提高4℃,可使建筑运行平均需求量降低50% ~ 60%。然后改变房屋的热模型以获得FSCAC的能耗。结果表明,恒温器设定点提高4℃,24小时运行能耗可降低50%。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Survey on renewable energy forecasting using different techniques Speed Control of BLDC Motor Using Neural Network Controller and PID Controller An Integrated Non-Isolated DC-DC converter with Voltage Multiplier Cell for Microgrid Applications Method to Compensate Harmonics and Unbalanced Source Currents for Charging Application of Electric Vehicles on Split Phase Systems Experimental and Numerical Studies on a Cross Axis Wind Turbine
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1