Abstract
Urban building energy modelling aims at studying different approaches to estimate the energy consumed by buildings. However, most urban building energy models introduced in the literature ignore the impact that buildings have on their outdoor conditions, and inversely. Therefore, the paper determines whether interactions between buildings and outdoor conditions affects simulations performed using an urban building energy model, in particular during their calibration. Results suggest that interactions between buildings and their outdoor conditions affect the sensitivity of outcomes provided by an urban building energy model towards uncertain parameters and the probability to calibrate the model in accordance to some standards.
Original language | English |
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Title of host publication | Proceedings of eSim 2024 |
Subtitle of host publication | 13th Conference of IBPSA-Canada |
Place of Publication | Edmonton, Alberta |
Publisher | IBPSA |
Number of pages | 8 |
Volume | 13 |
Publication status | Published - 2024 |
Event | eSim 2024: 13th Conference of IBPSA-Canada - University of Alberta, Edmonton, Canada Duration: 5 Jun 2024 → 7 Jun 2024 https://idobe.engineering.ualberta.ca/esim-2024 |
Conference
Conference | eSim 2024: 13th Conference of IBPSA-Canada |
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Country/Territory | Canada |
City | Edmonton |
Period | 5/06/24 → 7/06/24 |
Internet address |
Keywords
- urban building energy modelling
- machine learning
- model calibration
- statistical analysis