abstract: 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. / Dissertation/Thesis / Doctoral Dissertation Civil Engineering 2016
Identifer | oai:union.ndltd.org:asu.edu/item:38800 |
Date | January 2016 |
Contributors | Arababadi, Reza Arababadi (Author), Parrish, Kristen (Advisor), Reddy, T A (Committee member), Jackson, Roderick K (Committee member), Arizona State University (Publisher) |
Source Sets | Arizona State University |
Language | English |
Detected Language | English |
Type | Doctoral Dissertation |
Format | 140 pages |
Rights | http://rightsstatements.org/vocab/InC/1.0/, All Rights Reserved |
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