Data analytics for energy efficient and climate neutral cities

This research project addresses the urgent need for climate action focusing on cities and buildings.

It aims to advance understanding of how urban building energy data can be used to upscale sustainable transitions in cities.

This will be explored through the following objectives:Advance the energy simulation of buildings on a large (district, urban, national) scale.Enhance data representation of the built environment on the urban scale.Develop and pilot new decision-support tools energy and sustainable transitions in different urban contexts with various types of stakeholders.Synthesise and communicate the existing practices of data-driven decision-making for energy efficiency and climate action planning in the selected cities.Building on the existing ODEN urban energy data platform, the project leverages the emergence of big data and AI/ML technologies to improve the accuracy of energy performance predictions, facilitate the segmentation of building stocks for targeted interventions, and support the decision-making process with actionable insights.Three research visits to the leading research environments at National University of Singapore, New York University and Technical University of Madrid will contribute to the establishment of a research network and further development of AI/ML toolbox.The project will contribute to accelerating the energy efficiency improvement of the building stock, decarbonizing urban energy systems, and achieving climate neutrality in cities.