Optimisation of switching programs for demand side management of domestic hot water load

This paper presents a methodology employed in the evaluation tool for demand side management of domestic hot water systems. The tool uses a thermally stratified hot water cylinder model and Monte Carlo simulations to generate domestic hot water loads. An optimisation function employs proportional and integral methods in optimising the direct load control switching programs to meet peak reduction targets. Details of the methodology are described and results of case studies are provided. Optimisation issues such as the payback effect, starting and finishing times of the control period, and control step are addressed.