A systematic review of spatial disaggregation methods for climate action planning
Energy and AI, vol. 17, pp. 100386
Abstract
National-level climate action plans are often formulated broadly. Spatially disaggregating these plans to individual municipalities can offer substantial benefits, such as enabling regional climate action strategies and for assessing the feasibility of national objectives. Numerous spatial disaggregation approaches can be found in the literature. This study reviews and categorizes these. The review is followed by a discussion of the relevant methods for the disaggregation of climate action plans. It is seen that methods employing proxy data, machine learning models, and geostatistical ones are the most relevant methods for the spatial disaggregation of national energy and climate plans. The analysis offers guidance for selecting appropriate methods based on factors such as data availability at the municipal level and the presence of spatial autocorrelation in the data. As the urgency of addressing climate change escalates, understanding the spatial aspects of national energy and climate strategies becomes increasingly important. This review will serve as a valuable guide for researchers and practitioners applying spatial disaggregation in this crucial field.
Authors 5
-
Shruthi Patil corresponding
Forschungszentrum Jülich · University of Potsdam
Affiliation as printed
Institute of Energy and Climate Research, Techno-economic Systems Analysis (IEK-3), Forschungszentrum Jülich, Wilhelm-Johnen-Straße, Jülich, 52425, NRW, Germany
University of Potsdam, Institute for Environmental Science and Geography, Karl-Liebknecht-Str. 24-25, Potsdam-Golm, 14476, Brandenburg, Germany
-
Affiliation as printed
Institute of Energy and Climate Research, Techno-economic Systems Analysis (IEK-3), Forschungszentrum Jülich, Wilhelm-Johnen-Straße, Jülich, 52425, NRW, Germany
-
Affiliation as printed
Institute of Energy and Climate Research, Techno-economic Systems Analysis (IEK-3), Forschungszentrum Jülich, Wilhelm-Johnen-Straße, Jülich, 52425, NRW, Germany
-
Forschungszentrum Jülich · RWTH Aachen University
Affiliation as printed
Chair for Fuel Cells, RWTH Aachen University, c/o IEK-3, Forschungszentrum Jülich, Jülich, 52425, NRW, Germany
Institute of Energy and Climate Research, Techno-economic Systems Analysis (IEK-3), Forschungszentrum Jülich, Wilhelm-Johnen-Straße, Jülich, 52425, NRW, Germany
-
University of Potsdam · Leibniz Association · Potsdam Institute for Climate Impact Research
Affiliation as printed
Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, P.O. Box 60, 12 03, Potsdam, D-14412, Brandenburg, Germany
University of Potsdam, Institute for Environmental Science and Geography, Karl-Liebknecht-Str. 24-25, Potsdam-Golm, 14476, Brandenburg, Germany
Cited by 8 stored of 8
8 results
No patents citing this paper on Lens.org (checked 2026-10-06).