This paper presents an evaluation tool for demand-side management of domestic hot water systems in distribution systems. The tool accurately models and predicts potential peak demand reductions through direct load control of domestic hot water systems. It employs a unique multi-layer thermally stratified hot water cylinder model and Monte Carlo simulations to generate hot water load profiles of domestic customers. To meet peak reduction targets set by the tool user, switching programs found via iterative optimizations are applied to hot water systems. The structure and individual components of the tool are described, and case studies are presented. Impacts of different switching programs on customer’s comfort are evaluated and discussed.

Item Type:	Refereed Article
Keywords:	Demand-side management, domestic hot water system, peak reduction, switching program optimization
Research Division:	Engineering
Research Group:	Electrical engineering
Research Field:	Electrical energy generation (incl. renewables, excl. photovoltaics)
Objective Division:	Energy
Objective Group:	Energy storage, distribution and supply
Objective Field:	Energy systems and analysis
UTAS Author:	Negnevitsky, M (Professor Michael Negnevitsky)
UTAS Author:	Wong, K (Mr Ke Wong)
ID Code:	97649
Year Published:	2015
Web of Science® Times Cited:	29
Deposited By:	Engineering
Deposited On:	2015-01-06
Last Modified:	2017-11-06
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