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GENeSYS-MOD v2.0 – Enhancing the Global Energy System Model: Model Improvements, Framework Changes, and European Data Set

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  • Thorsten Burandt
  • Konstantin Löffler
  • Karlo Hainsch

Abstract

This Data Documentation presents the second version of the Global Energy System Model (GENeSYSMOD), an open-source energy system modeling framework. The model endogenously determines costoptimal investment paths into conventional and renewable energy generation, different storage technologies, and some infrastructure investments in five-year steps until 2050. GENeSYS-MOD hereby focuses on the coupling of the three traditionally segregated sectors electricity, heat, and transportation - including all three sectors and their interconnections in the model. By allowing for different emission targets (such as emission budgets, yearly emission targets, or emission reduction goals), possible cost-minimizing pathways towards a largely (or even fully) decarbonized energy system can be analyzed. The second version of the model features more time slices, a more detailed representation of power trade and its infrastructure, performance improvements, and a fully revised technology data set. Additionally, to model improvements and changes, a high-quality data set for the European region to use with GENeSYS-MOD v2.0 is provided and described. An application of the European version of GENeSYS-MOD v2.0 can be found as an accompanying DIW Discussion Paper No. 1745 (Hainsch et al. 2018).

Suggested Citation

  • Thorsten Burandt & Konstantin Löffler & Karlo Hainsch, 2018. "GENeSYS-MOD v2.0 – Enhancing the Global Energy System Model: Model Improvements, Framework Changes, and European Data Set," Data Documentation 94, DIW Berlin, German Institute for Economic Research.
    • Handle: RePEc:diw:diwddc:dd94
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    File URL: https://www.diw.de/documents/publikationen/73/diw_01.c.594273.de/diw_datadoc_2018-094.pdf
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    Cited by:

    1. Giarola, Sara & Molar-Cruz, Anahi & Vaillancourt, Kathleen & Bahn, Olivier & Sarmiento, Luis & Hawkes, Adam & Brown, Maxwell, 2021. "The role of energy storage in the uptake of renewable energy: A model comparison approach," Energy Policy, Elsevier, vol. 151(C).
    2. Müller, Inga M., 2022. "Energy system modeling with aggregated time series: A profiling approach," Applied Energy, Elsevier, vol. 322(C).
    3. Zhang, Hongyu & Tomasgard, Asgeir & Knudsen, Brage Rugstad & Svendsen, Harald G. & Bakker, Steffen J. & Grossmann, Ignacio E., 2022. "Modelling and analysis of offshore energy hubs," Energy, Elsevier, vol. 261(PA).
    4. Hainsch, Karlo & Löffler, Konstantin & Burandt, Thorsten & Auer, Hans & Crespo del Granado, Pedro & Pisciella, Paolo & Zwickl-Bernhard, Sebastian, 2022. "Energy transition scenarios: What policies, societal attitudes, and technology developments will realize the EU Green Deal?," Energy, Elsevier, vol. 239(PC).

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