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2020 Building Performance Analysis Conference and SimBuild co-organized by ASHRAE and IBPSA-USA

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Data-Driven Local Area Energy Framework for Modeling Domestic Heat Electrification

Joey Aoun, Carlos Calderón
School of Architecture, Planning, and Landscape, Newcastle University, UK

Abstract: This paper presents a spatially referenced energy modelling framework of the domestic building stock of a Low-Voltage (LV) electrical sub-station (i.e. Ridgeway New) in Newcastle upon Tyne for area-based heat electrification project delivery. The framework brings together several public open sources of data to generate hourly energy consumption (i.e. heat fuel and electricity) for spatially referenced individual buildings. The simulation model has been validated against Government datasets and the results are presented at three spatial resolutions: LV-area; archetype; and individual building. Our discussion focuses on peak household energy demands highlighting that peak hourly ratios are significantly higher than expected. We also comment on the models' assumptions and uncertainties.
Pages: 651 - 659
Paper:
simbuild2020_C080