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The adequacy of time-series reduction for renewable energy systems

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Document pages: 13 pages

Abstract: To manage computational complexity, models of macro-energy systems commonlydeploy reduced sets of time-series data. This paper evaluates the adequacy oftime-series reduction when modelling energy systems with fully renewablegeneration and a consequent dependency on storage. Analysis includes variousmethods to derive reduced time-series and to implement them into models, eitheras time-slices, also referred to as representative days, or continuoustime-steps. All methods are tested with regard to unmet demand and accuracy ofestimated system costs using a simple capacity expansion model of the powersector within a renewable energy system. Some methods achieve little unmetdemand, but instead their results regarding storage are biased and favourseasonal at the expense of short-term storage. We conclude that renewableenergy systems limit the adequacy of time-series reduction and future researchshould focus on alternative methods to reduce computational complexity.

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