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

Lookup NU author(s): Dr Carlos CalderonORCiD



This is the authors' accepted manuscript of a conference proceedings (inc. abstract) that has been published in its final definitive form by ASHRAE and IBPSA-USA, 2020.

For re-use rights please refer to the publisher's terms and conditions.


This paper presents a spatially referenced energymodelling 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.

Publication metadata

Author(s): Aoun J, Calderon C

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 2020 Building Performance Modeling Conference and SimBuild

Year of Conference: 2020

Pages: 651-659

Online publication date: 01/10/2020

Acceptance date: 15/05/2020

Date deposited: 29/05/2020

Publisher: ASHRAE and IBPSA-USA


Notes: With your safety top of mind, the 2020 Building Performance Analysis Conference and SimBuild will not take place in Chicago, IL, August 12-14, 2020. Instead, we will present the conference in a new and convenient virtual format. Conference website: