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System integration of wind and solar power in integrated assessment models: A cross-model evaluation of new approaches

Author

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  • Pietzcker, Robert C.
  • Ueckerdt, Falko
  • Carrara, Samuel
  • de Boer, Harmen Sytze
  • Després, Jacques
  • Fujimori, Shinichiro
  • Johnson, Nils
  • Kitous, Alban
  • Scholz, Yvonne
  • Sullivan, Patrick
  • Luderer, Gunnar

Abstract

Mitigation-Process Integrated Assessment Models (MP-IAMs) are used to analyze long-term transformation pathways of the energy system required to achieve stringent climate change mitigation targets. Due to their substantial temporal and spatial aggregation, IAMs cannot explicitly represent all detailed challenges of integrating the variable renewable energies (VRE) wind and solar in power systems, but rather rely on parameterized modeling approaches. In the ADVANCE project, six international modeling teams have developed new approaches to improve the representation of power sector dynamics and VRE integration in IAMs.

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  • Pietzcker, Robert C. & Ueckerdt, Falko & Carrara, Samuel & de Boer, Harmen Sytze & Després, Jacques & Fujimori, Shinichiro & Johnson, Nils & Kitous, Alban & Scholz, Yvonne & Sullivan, Patrick & Ludere, 2017. "System integration of wind and solar power in integrated assessment models: A cross-model evaluation of new approaches," Energy Economics, Elsevier, vol. 64(C), pages 583-599.
  • Handle: RePEc:eee:eneeco:v:64:y:2017:i:c:p:583-599
    DOI: 10.1016/j.eneco.2016.11.018
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    as
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    More about this item

    Keywords

    Integrated Assessment Models (IAM); Variable Renewable Energy (VRE); Wind and solar power; System integration; Power sector model; Flexibility options (storage; transmission grid; demand response); Model evaluation; Model validation;
    All these keywords.

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting
    • Q49 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Other

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