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Code exposed: Review of five open-source frameworks for modeling renewable energy systems

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  • Candas, Soner
  • Muschner, Christoph
  • Buchholz, Stefanie
  • Bramstoft, Rasmus
  • van Ouwerkerk, Jonas
  • Hainsch, Karlo
  • Löffler, Konstantin
  • Günther, Stephan
  • Berendes, Sarah
  • Nguyen, Stefanie
  • Justin, Aparna

Abstract

Energy system modeling is a commonly used method to provide policy recommendations and insight to transformation pathways of energy systems. However, the low open-source availability of the frameworks in practice often leads to low interpretability and transparency of energy modeling system configurations. The configuration of an energy model entails how its system components, such as power plants, storage systems and grids operate, and which parameters are used to define them. In order to understand the impact of different model configurations and working principles on the model output, a thorough comparison between various modeling frameworks is necessary. This work thereby consists of a comparison of five open-source energy system modeling frameworks (OS-ESMFs) oemof, GENeSYS-MOD, Balmorel, urbs and GENESYS-2 on the mathematical level and spotlights selected methodological differences in renewable energy system modeling. The comparison shows diversity in the complexity of selected system components and helps to define the best use-cases and scales of application for each framework. Impacts of modeled features on the results were demonstrated by implementing two harmonized scenarios depicting the German electricity system using each framework. While similar model results were obtained for both scenarios, some differences were present, especially in the long-term expansion planning model. Some of those differences could be traced back to the identified modeling differences.

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  • Candas, Soner & Muschner, Christoph & Buchholz, Stefanie & Bramstoft, Rasmus & van Ouwerkerk, Jonas & Hainsch, Karlo & Löffler, Konstantin & Günther, Stephan & Berendes, Sarah & Nguyen, Stefanie & Jus, 2022. "Code exposed: Review of five open-source frameworks for modeling renewable energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
  • Handle: RePEc:eee:rensus:v:161:y:2022:i:c:s1364032122001927
    DOI: 10.1016/j.rser.2022.112272
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    Cited by:

    1. Gea-Bermúdez, Juan & Bramstoft, Rasmus & Koivisto, Matti & Kitzing, Lena & Ramos, Andrés, 2023. "Going offshore or not: Where to generate hydrogen in future integrated energy systems?," Energy Policy, Elsevier, vol. 174(C).
    2. Sifnaios, Ioannis & Sneum, Daniel Møller & Jensen, Adam R. & Fan, Jianhua & Bramstoft, Rasmus, 2023. "The impact of large-scale thermal energy storage in the energy system," Applied Energy, Elsevier, vol. 349(C).
    3. van Ouwerkerk, Jonas & Hainsch, Karlo & Candas, Soner & Muschner, Christoph & Buchholz, Stefanie & Günther, Stephan & Huyskens, Hendrik & Berendes, Sarah & Löffler, Konstantin & Bußar, Christian & Tar, 2022. "Comparing open source power system models - A case study focusing on fundamental modeling parameters for the German energy transition," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).

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