Open AccessPresentation of new geospatial datasets for renewable thermal energy systems modelling in Switzerland
Author(s) -
Jonathan Chambers,
Mercedes Rittman-Frank,
Martin K. Patel
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2042/1/012003
Subject(s) - geospatial analysis , renewable energy , work (physics) , computer science , data science , raster graphics , database , geography , remote sensing , engineering , mechanical engineering , electrical engineering , artificial intelligence
Decarbonising heating and cooling energy buildings means going beyond individual buildings to geospatial analysis of regions and the country. This creates a need for higher resolution geospatial datasets to perform energy systems modelling. In this work we present open heating and cooling demand geospatial raster dataset produced as part of the FEEB&D research project. We discuss challenges in the production and sharing of such datasets and discuss future work towards more comprehensive databases for thermal energy modelling.