Abstract
This article exemplifies a simulation-based approach to finding an optimum size of thermal storage, taking into account virtual power plants. The basic idea is to use thermal storage devices linked to chiller plants to shift the cooling load of a building in order to be able to participate in both real-time pricing markets and balancing energy auctions. Therefore, an existing cooling plant is modelled using the simulation program TRNSYS. To take advantage of volatile energy rates, a simple price-sensitive control strategy has been implemented. Furthermore, the overall-cost function of the cooling plant is linked to the optimization program GenOpt. The simulation determines the optimum storage tank size, which yields minimum overall costs. This article provides the results of a single case study directed at the real-time pricing market European Energy Exchange ‘EEX’ and Germany's balancing energy auction ‘Minutenreserve’. Beyond, some general conclusions have been pointed out so far.
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