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

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

Applied Energy, 2023, vol. 334, issue C, No S0306261922018815

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.

Keywords: Energy system modelling; Energy system optimisation model; Capacity expansion planning; Time series aggregation; Storage; Climate (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (2)

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DOI: 10.1016/j.apenergy.2022.120624

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