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Automatic dimensioning of energy system components for building cluster simulation

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

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.

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  • Weiler, Verena & Lust, Daniel & Brennenstuhl, Marcus & Brassel, Kai-Holger & Duminil, Eric & Eicker, Ursula, 2022. "Automatic dimensioning of energy system components for building cluster simulation," Applied Energy, Elsevier, vol. 313(C).
    • Handle: RePEc:eee:appene:v:313:y:2022:i:c:s0306261922001192
    DOI: 10.1016/j.apenergy.2022.118651
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    1. Abdulraheem Salaymeh & Irene Peters & Stefan Holler, 2024. "Factoring Building Refurbishment and Climatic Effect into Heat Demand Assessments and Forecasts: Case Study and Open Datasets for Germany," Energies, MDPI, vol. 17(3), pages 1-20, January.

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