We didn't have high resolution projections of global rooftop area until now! We just published a new paper and dataset in Nature Portfolio Scientific Data Journal with projections for rooftop areas consistent with the shared socioeconomic pathways, 2020–2050. This research was led by #Siddarth_Joshi and involved a wonderful collaboration between MaREI's energy modelling team at University College Cork together with the International Institute for Applied Systems Analysis (IIASA) and the Columbia | SIPA, the Grantham Research Institute on Climate Change & the Environment at Imperial College London, CICERO - Center for International Climate Research and Industrial Ecology NTNU The benefits of this dataset is to help us understand and plan for a robust and sustainable decentralised energy system. It's difficult to estimate the potential for rooftop solar energy for example, without projections of the growth in rooftops! We developed a machine learning framework that trained on big data containing ~700 million open-source building footprints, global land cover, road, and population datasets to generate globally harmonised estimates of growth in rooftop area for five different future growth narratives covered by Shared Socioeconomic Pathways. The dataset provides estimates for ~3.5 million fishnet tiles of 1/8 degree spatial resolution with data on gross rooftop area for five growth narratives covering years 2020–2050 in decadal time steps. Huge thanks to Science Foundation Ireland for supporting this research through SFI-NSFC Partnership Programme and to the International Institute for Applied Systems Analysis (IIASA) for support under the Young Scientists Summer Program and the European Commission under the Diamond-Horizon EU Project. The paper is freely available here https://lnkd.in/eFAg7gxK.
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akansha saklani Abhishek Bhardwaj Kajol .