Generated Dataset related to Submission: Global Insights on the Potential of Decentralized Systems for the Energy Transition

The database contains results of all computations carried out in the study "Global Insights on the Potential of Decentralized Systems in the Energy Transition", authored by Arvind Srinivasan, Blazhe Gjorgiev, Paolo Gabrielli and Giovanni Sansavini. Please read the associated publication for more information regarding the model and analyses. In the study, we model a residential energy community with a demand for electricity and thermal comfort and optimize a decentralized energy system that can meet the demand using locally deployed renewables, dispatchable and storage technologies, and exchanging energy with the electricity and natural gas grids. We carry out the analyses across 174 climate clusters, each represented by its own renewable potential and demand for electricity, and thermal comfort. We, then, map the findings of the climate clusters to adminstrative regions worldwide. Further, we analyse our findings for a range of techno-economic parameters prevalent worldwide to account for the impact of their uncertainty on system design. The dataset can be used for in-depth local analyses for regions worldwide. Please read the file README.md and Documentation, that provides all the necessary information to access and use the data.