Inverse methods: How feasible are spatially low-resolved capacity expansion modelling results when disaggregated at high spatial resolution?

Martha Maria Frysztacki, Veit Hagenmeyer and Tom Brown

Energy, 2023, vol. 281, issue C

Abstract: Spatially highly-resolved capacity expansion models are often simplified to a lower spatial resolution because they are computationally intensive. The simplification mixes sites with different renewable features while ignoring transmission lines that can cause congestion. As a consequence, the results may represent an infeasible system when the capacities are fed back at higher spatial detail. Thus far there has been no detailed investigation of how to disaggregate results and whether the spatially highly-resolved disaggregated model is feasible. This is challenging since there is no unique way to invert the clustering.

Keywords: Electricity system optimisation; Renewable energy; Investment planning; Spatial clustering; Inverse methods; Disaggregation methods (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:281:y:2023:i:c:s036054422301527x

DOI: 10.1016/j.energy.2023.128133

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