Developing a common approach for classifying building stock energy models

J.Langevin, JL.Reyna, S.Ebrahimigharehbaghi, N.Sandberg, P.Fennell, C.Nägeli, J.Laverge, M.Delghust, É.Mata, M.Van Hove, J.Webster, F.Federico, M.Jakob, C.Camarasa

Buildings contribute 40% of global greenhouse gas emissions; therefore, strategies that can substantially reduce emissions from the building stock are key components of broader efforts to mitigate climate change and achieve sustainable development goals. Models that represent the energy use of the building stock at scale under various scenarios of technology deployment have become essential tools for the development and assessment of such strategies. Within the past decade, the capabilities of building stock energy models have improved considerably, while model transferability and sharing has increased. Given these advancements, a new scheme for classifying building stock energy models is needed to facilitate communication of modeling approaches and the handling of important model dimensions. In this article, we present a new building stock energy model classification framework that leverages international modeling expertise from the participants of the International Energy Agency’s Annex 70 on Building Energy Epidemiology. 

Published Work | 2020 | Renewable and Sustainable Energy Reviews

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