Estimating latent energy demand of buildings

Room: HSW

Sunday, 12:00


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  • Nikola Milojevic-Dupont, Mercator Research Institute on Global Commons and Climate Change, Technische Universität Berlin
  • Peter-Paul Pichler, Potsdam Institute for Climate Impact Research (PIK)
  • Lynn H. Kaack, Energy Politics Group - ETH Zurich
  • Steffen Lohrey, Technische Universität Berlin
  • Felix Creutzig, Mercator Research Institute on Global Commons and Climate Change, Technische Universität Berlin

We propose a model that uses only open data for estimating the minimal energy use of individual buildings for heating and cooling at scale. The workflow is divided in two main blocks: (i) predicting at scale a 3D building stock using OpenStreetMap data, and (ii) estimating the energy use of buildings individually with a back-end model.