The benefits of combining utility-controlled demand response with residential zoned cooling

被引:0
作者
Wen Zhou
Dean C. Mountain
机构
[1] McMaster University,DeGroote School of Business
[2] Tongji University,School of Economics and Management
来源
Energy Efficiency | 2014年 / 7卷
关键词
Residential zoned cooling; Direct load control; Demand response;
D O I
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中图分类号
学科分类号
摘要
This paper evaluates the effectiveness of combining direct load control with a residential zoned-cooling technology in meeting the objectives of reducing peak demand and maintaining home comfort level. In contrast, the traditional approach has been for utilities to smooth summer peak cooling loads, by controlling the cooling load of the whole house. While accounting for weather, dwelling characteristics and demographics, with detailed field data, we are able to develop empirical models to evaluate the benefits of utility control of cooling loads for a residential zoned cooling system during summer peak-demand periods and to compare with non-zoned systems. A zoned house allows for an upper floor cooling interruption without affecting the comfort on the main floor. An upper floor interruption for a full 4 h during the day leads to an average peak air conditioning change of −0.52 kW, approximately 1.6 times the reduction from the curtailment of cooling by cycling the air conditioning serving the whole house.
引用
收藏
页码:1067 / 1099
页数:32
相关论文
共 21 条
[1]  
Ericson T(2009)Direct load control of residential water heaters Energy Policy 37 3502-3512
[2]  
Hamlet AF(2010)Effects of projected climate change on energy supply and demand in the Pacific Northwest and Washington State Climatic Change 102 103-128
[3]  
Lee S-Y(1987)An integrated monthly and hourly regional electricity model for Ontario, Canada Resources and Energy 9 275-299
[4]  
Mickelson EB(2008)Climate, extreme heat, and electricity demand in California Journal of Applied Meteorology and Climatology 47 1834-1844
[5]  
Elsner MM(2011)Comparison of four methods to evaluate the effect of a utility residential air-conditioner load control program on peak electricity use Energy Policy 39 6376-6389
[6]  
Hsiao C(2010)The effect of utility time-varying pricing and load control strategies on residential summer peak electricity use: a review Energy Policy 38 3289-3296
[7]  
Chan MWL(1978)Spline functions fitted by standard regression methods Review of Economics and Statistics 60 132-139
[8]  
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