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

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

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.

Suggested Citation

  • Raventós, Oriol & Dengiz, Thomas & Medjroubi, Wided & Unaichi, Chinonso & Bruckmeier, Andreas & Finck, Rafael, 2022. "Comparison of different methods of spatial disaggregation of electricity generation and consumption time series," Renewable and Sustainable Energy Reviews, Elsevier, vol. 163(C).
  • Handle: RePEc:eee:rensus:v:163:y:2022:i:c:s1364032122001101
    DOI: 10.1016/j.rser.2022.112186
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