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Development of a bottom-up white-box building stock energy model for single-family dwellings

Adam Neale, Michaël Kummert, Michel Bernier

Article (2022)

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Abstract

A new bottom-up white-box building stock energy modelling approach is presented in this paper. The model is a physics simulation-based stock model that can be used to compare the base case building stock with technological variations for comparative assessments. The model accuracy is compared to known stock data for a variety of categories, including end-use, energy source and building type. The model predicts the energy use of a building stock in a Canadian region with good agreement across all categories, with the total energy consumption of the model within 1.5% of the real stock energy use. Our analysis shows that modelling a sufficiently large sample of stock is required to reduce the expected deviation for lesser-represented portions of the stock. A case study illustrates how the model can be applied to compare different heating system distributions, in order to assess their impact on greenhouse gas emissions and peak electricity demand.

Uncontrolled Keywords

Residential, building stock energy model, bottom-up, white-box, greenhouse gas emissions

Subjects: 2100 Mechanical engineering > 2100 Mechanical engineering
2100 Mechanical engineering > 2107 Modelling, simulation and finite element methods
Department: Department of Mechanical Engineering
Funders: Institut de Valorisation des Données
Grant number: PRF-2017-12
PolyPublie URL: https://publications.polymtl.ca/10473/
Journal Title: Journal of Building Performance Simulation (vol. 15, no. 6)
Publisher: Taylor & Francis
DOI: 10.1080/19401493.2022.2082531
Official URL: https://doi.org/10.1080/19401493.2022.2082531
Date Deposited: 09 Sep 2022 14:55
Last Modified: 18 Nov 2022 21:22
Cite in APA 7: Neale, A., Kummert, M., & Bernier, M. (2022). Development of a bottom-up white-box building stock energy model for single-family dwellings. Journal of Building Performance Simulation, 15(6), 735-756. https://doi.org/10.1080/19401493.2022.2082531

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