Automatic dimensioning of energy system components for building cluster simulation

Verena Weiler, Daniel Lust, Marcus Brennenstuhl, Kai-Holger Brassel, Eric Duminil and Ursula Eicker

Applied Energy, 2022, vol. 313, issue C, No S0306261922001192

Abstract: In this paper, we present an approach on automatic energy system modeling and simulation. We develop two different methods to dimension the components of energy systems: one approach is an easy-to-use and to-adapt rule-based method, where the size of components is based e.g. on the heat demand of the buildings. The second approach is to dimension components with a genetic algorithm with a target function to reduce total annual cost. We apply and compare the methods for two different system designs to a building cluster case study in Germany. One system is a decentral heat pump system with back-up gas boiler, thermal and electrical storage and PV, the other system is a hydrogen-based central fuel cell system with electrolyzer, thermal and electrical storage and PV. We compare both systems based on current (2020) and future (2050) framework conditions.

Keywords: Urban simulation; System dimensioning; Genetic algorithm; Total annual cost; Modular approach; Power-to-hydrogen (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (1)

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DOI: 10.1016/j.apenergy.2022.118651

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