Optimized selection of component models for photovoltaic and energy storage system simulations

Research output: Contribution to journalArticlepeer-review


hotovoltaic (PV) systems have become an integral and widespread part of renewable energy generation. In combination with energy storage, they offer a variety of advantages such as increased self-sufficiency or improved grid stability. However, geographic location, subsidies, energy tariffs, size of PV panels and battery, and other factors significantly influence the overall performance and profitability of the system. Solving this complex task of system design and component dimensioning is not easy. The diversity and multitude of parameters therefore usually requires the help of, more or less complex, computer simulations. This led and still leads to a high publication activity on techno-economic and other optimizations for such systems. However, the operating strategies and component models are often oversimplified, leading to results with significant errors. The goal of this paper is to provide in-depth insight into component modeling and parametrization for PV module, battery energy storage, and inverter, as well as giving suggestions on appropriate control strategies. The focus lies on the description of suitable simple-but-accurate models and their parametrization. In order to avoid the effort of having to conduct measurements for component characterization, an approach relying on values presented in product data sheets is considered. Furthermore, the effects of model simplifications, as they are found in many publications, are shown. Finally, the importance of an uncertainty analysis for the entire simulation is discussed in order to gain insight into the accuracy of the calculated simulation results and their dependency on model- and input-parameters.
Original languageEnglish
Pages (from-to)559-568
Number of pages10
JournalSolar Energy
Early online date15 Dec 2022
Publication statusPublished - 1 Jan 2023


  • Photovoltaic
  • Energy storage
  • Computer simulation
  • Component modeling
  • Component parametrization
  • Uncertainty analysis

ASJC Scopus subject areas

  • Materials Science(all)
  • Renewable Energy, Sustainability and the Environment


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