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Reducing climate risk in energy system planning: A posteriori time series aggregation for models with storage

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  • Hilbers, Adriaan P.
  • Brayshaw, David J.
  • Gandy, Axel

Abstract

The growth in variable renewables such as solar and wind is increasing the impact of climate uncertainty in energy system planning. Addressing this ideally requires high-resolution time series spanning at least a few decades. However, solving capacity expansion planning models across such datasets often requires too much computing time or memory.

Suggested Citation

  • Hilbers, Adriaan P. & Brayshaw, David J. & Gandy, Axel, 2023. "Reducing climate risk in energy system planning: A posteriori time series aggregation for models with storage," Applied Energy, Elsevier, vol. 334(C).
    • Handle: RePEc:eee:appene:v:334:y:2023:i:c:s0306261922018815
    DOI: 10.1016/j.apenergy.2022.120624
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