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Operational and Technological Peak Load Shifting Strategies for Residential Buildings

Posted on:2017-10-03Degree:Ph.DType:Dissertation
University:Arizona State UniversityCandidate:Arababadi, RezaFull Text:PDF
GTID:1442390005478346Subject:Energy
Abstract/Summary:
Residential air conditioning systems represent a critical load for many electric utilities, especially for those who serve customers in hot climates. In hot and dry climates, in particular, the cooling load is usually relatively low during night hours and early mornings and hits its maximum in the late afternoon. If electric loads could be shifted from peak hours (e.g., late afternoon) to off-peak hours (e.g., late morning), not only would building operation costs decrease, the need to run peaker plants, which typically use more fossil fuels than non-peaker plants, would also decrease. Thus, shifting electricity consumption from peak to off-peak hours promotes economic and environmental savings. Operational and technological strategies can reduce the load during peak hours by shifting cooling operation from on-peak hours to off-peak hours. Although operational peak load shifting strategies such as precooling may require mechanical cooling (e.g., in climates like Phoenix, Arizona), this cooling is less expensive than on-peak cooling due to demand charges or time-based price plans. Precooling is an operational shift, rather than a technological one, and is thus widely accessible to utilities' customer base. This dissertation compares the effects of different precooling strategies in a Phoenix-based utility's residential customer market and assesses the impact of technological enhancements (e.g., energy efficiency measures and solar photovoltaic system) on the performance of precooling. This dissertation focuses on the operational and technological peak load shifting strategies that are feasible for residential buildings and discusses the advantages of each in terms of peak energy savings and residential electricity cost savings.
Keywords/Search Tags:Residential, Peak load shifting strategies, Operational and technological
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