Probabilistic projections of granular energy technology diffusion at subnational level - solar photovoltaics, heat pumps, and battery electric vehicles in Switzerland
Description
The probabilistic projections are part of the work:
Nik Zielonka, Xin Wen, Evelina Trutnevyte, Probabilistic projections of granular energy technology diffusion at subnational level, PNAS Nexus, Volume 2, Issue 10, October 2023, pgad321, https://doi.org/10.1093/pnasnexus/pgad321
Please cite the article together with the Zenodo link when you use the data.
The provided data files contain the estimated probabilistic projections for all Swiss municipalities on the actual diffusion of solar photovoltaics (PV), heat pumps, and battery electric vehicles (BEVs) in Switzerland for the indicated years:
Version 2022-2050: Projections for the years 2022-2050 as presented by Zielonka et. al (2023), PNAS Nexus.
Version 2023-2050: Projections for the years 2023-2050, using the latest data of 2022.
Version 2024-2050: Projections for the years 2024-2050, using the latest data of 2023.
The computations were performed at University of Geneva using Baobab HPC service.
This research was carried out with the support of the Swiss Federal Office of Energy SFOE as part of the SWEET project SURE (N.Z., E.T.) and the Swiss National Science Foundation Eccellenza Grant as part of the project "Accuracy of long-range national energy projections" (Grant no. 186834, X.W., E.T.). The authors bear sole responsibility for the conclusions and the results.
Files
CH_2024-2050_municipality_projections.pdf
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Additional details
References
- Nik Zielonka, Xin Wen, Evelina Trutnevyte, Probabilistic projections of granular energy technology diffusion at subnational level, PNAS Nexus, Volume 2, Issue 10, October 2023, pgad321, https://doi.org/10.1093/pnasnexus/pgad321