Variable time-step: A method for improving computational tractability for energy system models with long-term storage

Paul de Guibert, Behrang Shirizadeh and Philippe Quirion

Energy, 2020, vol. 213, issue C

Abstract: Optimizing an energy system model featuring a large proportion of variable (non-dispatchable) renewable energy requires a fine temporal resolution and a long period of weather data to provide robust results. Many models are optimized over a limited set of ‘representative’ periods (e.g. weeks) but this precludes a realistic representation of long-term energy storage.

Keywords: Energy system model; Renewable energies; Computational tractability; Time series aggregation; Complexity reduction (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:213:y:2020:i:c:s0360544220321319

DOI: 10.1016/j.energy.2020.119024

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