Integrated Modelling of Decentralised Energy Supply in Combination with Electric Vehicle Charging in a Real-Life Case Study

Georg Göhler, Anna-Lena Klingler, Florian Klausmann and Dieter Spath
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Georg Göhler: Fraunhofer IAO, Fraunhofer Institute for Industrial Engineering, 70569 Stuttgart, Germany
Anna-Lena Klingler: Fraunhofer IAO, Fraunhofer Institute for Industrial Engineering, 70569 Stuttgart, Germany
Florian Klausmann: Fraunhofer IAO, Fraunhofer Institute for Industrial Engineering, 70569 Stuttgart, Germany
Dieter Spath: Institute of Human Factors and Technology Management (IAT), University of Stuttgart, 70569 Stuttgart, Germany

Energies, 2021, vol. 14, issue 21, 1-19

Abstract: Intelligent integration of decentralised energy resources, local storage and direct consumption are key factors in achieving the transformation of the energy system. In this study, we present a modular simulation concept that allows the planning of decentralised energy systems for buildings and building blocks. In comparison to related studies, we use a simulation model for energy planning with a high time-resolution from the perspective of the energy system planner. In this study, we address the challenges of the grid connection in combination with an increasing number of electric vehicles (EV) in the future. The here developed model is applied for an innovative building block in Germany with a photovoltaic (PV) system, a combined heat and power (CHP) unit, battery storage and electric vehicles. The results of the simulation are validated with real-life data to illustrate the practical relevance and show that our simulation model is able to support the planning of decentralised energy systems. We demonstrate that without anticipating future electric vehicle charging, the system configurations could be sub-optimal if complete self-sufficiency is the objective: in our case study, the rate of self-sufficiency of the net-zero energy building will be lowered from 100% to 91% if considering electric vehicles. Furthermore, our simulation shows that a peak minimising operation strategy with a battery can prevent grid overloads caused by EV charging in the future. Simulating different battery operation strategies can further help to implement the most useful strategy, without interruption of the current operation.

Keywords: decentralised energy system; self-consumption; modelling; real-life demonstration; electric vehicles; stationary battery (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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