Development of a bottom-up white-box building stock energy model for single-family dwellings. Issue 6 (2nd November 2022)

• Record Type: Journal Article
• Authors: Neale, Adam; Kummert, Michaël; Bernier, Michel
• Is Part Of: Journal of building performance simulation. Volume 15:Issue 6(2022)
• Page Start: 735
• Page End: 756
• Publication Date: 2022-11-02
• Subjects: Residential -- building stock energy model -- bottom-up -- white-box -- greenhouse gas emissions; 690.0113
• DOI: 10.1080/19401493.2022.2082531
• Languages: English
• ISSNs: 1940-1493

Abstract

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.