Optimizing overheating, lighting, and heating energy performances in Canadian school for climate change adaptation: Sensitivity analysis and multi-objective optimization methodology
Date
2023
Journal Title
Journal ISSN
Volume Title
Publisher
Building and Environment
Abstract
This paper aims to develop long-term adaptation strategies for the existing Canadian school buildings under
extreme current and future climates using a developed methodology based on global and local sensitivity analysis
and Multi-Objective Optimization Genetic Algorithm. The calibrated simulation model based on indoor and
outdoor measured temperature for a school of interest is used to evaluate the optimization strategies. This paper
aims to search for the optimum school building design under three simultaneous conflicting objective functions:
(1) the minimization of overheating hours to less than 40 h as required by Building Bulletin BB101 building code
by using passive mitigation measures, (2) the minimization of heating energy use to less than 15 kW/m2 ac cording to passive house requirements and thus the reduction of greenhouse gas emissions, and (3) the mini mization of artificial lighting energy use to less than the current lighting energy use by maximization of
daylighting usage without exceeding acceptable glare index in classrooms. Ten building design variables are
selected, which could generate approximately 300,000 solutions. The developed methodology reduced the
numbers to 14,400 solutions and found seven Pareto solutions that comply with the three objectives and their
constraints. High energy-efficient building envelope, appropriate window-wall ratio and window type, natural
ventilation during the day, and night cooling can play a key role in achieving the objectives under current
weather conditions. An additional cool roof and external overhang will be needed in the medium-term future
climate, and an additional movable screen shading will be needed in the long-term future climate.
Description
Keywords
Overheating
Lighting and heating use optimization
Sensitivity analysis
Future climate
School building
Measured temperature
Citation
Baba, F.M. et al. (2023) “Optimizing overheating, lighting, and heating energy performances in Canadian school for climate change adaptation: Sensitivity analysis and multi-objective optimization methodology,” Building and Environment, 237.