Comparison of different methods of spatial disaggregation of electricity generation and consumption time series

Oriol Raventós, Thomas Dengiz, Wided Medjroubi, Chinonso Unaichi, Andreas Bruckmeier and Rafael Finck

Renewable and Sustainable Energy Reviews, 2022, vol. 163, issue C

Abstract: Energy system models involve various input data sets representing the generation, consumption and transport infrastructure of electricity. Especially energy system models with a focus on the transmission grid require time series of electricity feed-in and consumption in a high spatial resolution. In general, there are two approaches to obtain regionalized time series: top-down and bottom-up. In many cases, both methodologies may be combined to aggregate or disaggregate input data. Furthermore, there exist various approaches to assign regionalized feed-in of renewable energy sources and electrical load to the model’s grid connection points. The variety in the regionalization process leads to significant differences on a regional scope, even if global values are the same.

Keywords: Spatial (dis)aggregation; (Dis)aggregation techniques; Regionalization; Electricity generation; Electricity consumption; Load time series; Energy systems; Aggregation techniques comparison; Power system models; Model comparison (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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DOI: 10.1016/j.rser.2022.112186

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