Création d’un microclimat urbain sain autour de groupes de bâtiments par des solutions d’électrification et de décarbonisation à l’épreuve des changements climatiques
Aperçu du projet
Reconnaissant le besoin urgent de traiter les risques liés au climat, ce projet vise à rassembler une équipe d’experts internationaux qui se penchent sur le « microclimat urbain », c’est-à-dire l’environnement immédiat autour des groupes de bâtiments. Ces zones présentent divers risques, notamment des trottoirs glacés, des coupures de courant et la surchauffe, mais aussi des possibilités d’exploiter les énergies éolienne et géothermique, qui sont renouvelables.
Dans le cadre du projet, l’équipe compte utiliser une combinaison de mesures sur le terrain et de simulations avancées pour cartographier les effets du microclimat. Notamment, on étudiera des solutions comme l’électrification des transports afin de réduire les émissions et d’améliorer la qualité de l’air.
En outre, le projet vise à générer des projections climatiques détaillées et à appliquer des modèles d’intelligence artificielle avancés pour favoriser une compréhension globale du microclimat urbain. L’objectif ultime est de fournir des données permettant d’élaborer des mesures, des politiques et de prendre des décisions pour atténuer les risques et assurer une meilleure résilience aux changements climatiques dans l’avenir.
Renseignements clés
| Chercheur principal | Liangzhu (Leon) Wang, professeur, Département de génie du bâtiment, civil et environnemental, Université Concordia |
Cochercheurs principaux |
Ted Stathopoulos, professeur, Département de génie du bâtiment, civil et environnemental, Université Concordia; Hua Ge, professeure de génie du bâtiment, civil et environnemental, Université Concordia; Biao Li, professeur agrégé, Département de génie du bâtiment, civil et environnemental, Université Concordia; Ghazanfarah Hafeez, professeure adjointe, Département de génie du bâtiment, civil et environnemental, Université Concordia; Jinqiu Yang, professeure adjointe, Département d’informatique et de génie logiciel, Université Concordia; Manar Amayri, professeure adjointe, Institut d’ingénierie des systèmes d’information de Concordia, Université Concordia; Ben Amor, professeur, Département de génie civil et de génie du bâtiment, Université de Sherbrooke |
Collaborateurs de recherche |
Shahin Masoumi Verki, Abhishek Gaur, Henry Lu, Abdelaziz Laouadi, Lili Ji, Lin Wang, Michael Lacasse, Heike Schreiber, Sylvie Leroyer, Stephane Belair, Craig Stroud, Ali Katal, Bin Xu, Wenxue Chen, Jasmin Raymond, Hubert Langevin, Nicolo Giordano, Tianzhen Hong |
| Partenaires non universitaires | Conseil national de la recherche, Environnement et changement climatique Canada, SFTec Inc., Origin Geomechanics Inc., Géotherma Solutions inc., Laboratoire national Lawrence-Berkeley |
| Mots-clés de la recherche | Microclimat urbain, groupes de bâtiments, électrification, décarbonisation, énergie éolienne urbaine, changements climatiques, résilience, conditions météorologiques extrêmes |
| Budget | En espèces : 320 000 $ En nature : 542 000 $ |
Publications:
S. Rayegan et al., “Development of a 3D ray tracing-based direct solar shading model for urban building energy simulation,” Renewable Energy, vol. 256, p. 123883, Jan. 2026, doi: 10.1016/j.renene.2025.123883.
A. Marey, J. Zou, S. Goubran, L. L. Wang, and A. Gaur, “Urban morphology impacts on urban microclimate using artificial intelligence – a review,” City and Environment Interactions, vol. 28, p. 100221, Dec. 2025, doi: 10.1016/j.cacint.2025.100221.
T. Chen et al., “Machine learning as CFD surrogate models for rapid prediction of building-related physical fields: A review of methods and state-of-the-art,” Building and Environment, vol. 285, p. 113667, Nov. 2025, doi: 10.1016/j.buildenv.2025.113667.
X. Hu et al., “Effects of different activation functions on multilayer perceptron performance for predicting indoor airflow fields,” Building and Environment, vol. 285, p. 113680, Nov. 2025, doi: 10.1016/j.buildenv.2025.113680.
L. Li, A. Kross, C. D. Ziter, and U. Eicker, “Analyzing spatial patterns of urban green infrastructure for urban cooling and social equity,” Urban Forestry & Urban Greening, vol. 112, p. 128983, Oct. 2025, doi: 10.1016/j.ufug.2025.128983.
A. Marey, L. L. Wang, A. Gaur, H. Lu, S. Leroyer, and S. Belair, “Urban climate simulation for extreme heat events – A comparison between WRF and GEM,” Urban Climate, vol. 63, p. 102570, Sept. 2025, doi: 10.1016/j.uclim.2025.102570.
R. Li, J. Niu, Y. Zhao, L. (Leon) Wang, X. Shi, and N. Gao, “Wind tunnel experiments on the aerodynamic effects of a single potted tree: Hot-wire anemometry and PIV measurements,” Urban Climate, vol. 62, p. 102520, Aug. 2025, doi: 10.1016/j.uclim.2025.102520.
D. Qi, L. L. Wang, M. Heidarinejad, and M. Hamdy, “Adapting building performance simulation for climate resilience: accounting for urban microclimates and future climates,” Journal of Building Performance Simulation, pp. 1–7, Aug. 2025, doi: 10.1080/19401493.2025.2540927.
F. Baba et al., “Field assessment of thermal conditions in naturally ventilated classrooms during spring: microclimate and passive cooling impacts in cold climate,” Smart and Sustainable Built Environment, pp. 1–25, Aug. 2025, doi: 10.1108/SASBE-03-2025-0142.
A. Marey, L. L. Wang, and S. Goubran, “Developing accurate land cover projection to accelerate the realization of SDG 11 in urbanized cities: a comparative study,” Clean Techn Environ Policy, Aug. 2025, doi: 10.1007/s10098-025-03297-4.
J. Zou, L. Wang, S. Yang, M. Lacasse, and L. (Leon) Wang, “Predicting long-term urban overheating and their Mitigations from nature based solutions using Machine learning and field measurements,” Energy and Buildings, vol. 338, p. 115720, July 2025, doi: 10.1016/j.enbuild.2025.115720.
R. Zmeureanu, H. Dou, H. Ge, L. Wang, and Z. Xie, “Thermal time constant estimation of unoccupied school buildings from field measurements over summer,” Journal of Building Engineering, vol. 104, p. 112311, June 2025, doi: 10.1016/j.jobe.2025.112311.
R. Li, Y. Zhao, L. (Leon) Wang, J. Niu, X. Shi, and N. Gao, “Fast fluid dynamics simulations of the drag effect of trees on airflow distributions,” Building and Environment, vol. 278, p. 113039, June 2025, doi: 10.1016/j.buildenv.2025.113039.
T. Potsis, A. Ricci, and T. Stathopoulos, “On the reliability of the dynamic terrain method to generate ABL winds for environmental applications,” Meccanica, vol. 60, no. 6, pp. 1789–1812, Jun. 2025, doi: 10.1007/s11012-024-01810-5.
N. Luo et al., “A data schema for exchanging information between urban building energy models and urban microclimate models in coupled simulations,” Journal of Building Performance Simulation, vol. 18, no. 3, pp. 333–350, May 2025, doi: 10.1080/19401493.2022.2142295.
D. Al-Assaad et al., “Resilient passive cooling strategies during heat waves: A quantitative assessment in different climates,” Building and Environment, vol. 274, p. 112698, Apr. 2025, doi: 10.1016/j.buildenv.2025.112698.
S. Qin et al., “Modeling multivariable high-resolution 3D urban microclimate using localized Fourier neural operator,” Building and Environment, vol. 273, p. 112668, Apr. 2025, doi: 10.1016/j.buildenv.2025.112668.
J. Yu, T. Stathopoulos, and M. Li, “Discussion of ‘Wind-Tunnel Testing of Low- and Midrise Buildings under Heterogeneous Upwind Terrains,’” J. Struct. Eng., vol. 151, no. 4, p. 07025001, Apr. 2025, doi: 10.1061/JSENDH.STENG-14352.
S. Qin et al., “Modeling multivariable high-resolution 3D urban microclimate using localized Fourier neural operator,” Building and Environment, vol. 273, p. 112668, Apr. 2025, doi: 10.1016/j.buildenv.2025.112668.
D. Al-Assaad et al., “Resilient passive cooling strategies during heat waves: A quantitative assessment in different climates,” Building and Environment, vol. 274, p. 112698, Apr. 2025, doi: 10.1016/j.buildenv.2025.112698.
S. Tahmasebi, G. Tian, S. Qin, A. Marey, L. (Leon) Wang, and S. Rayegan, “Using diffusion models for reducing spatiotemporal errors of deep learning based urban microclimate predictions at post-processing stage,” Physics of Fluids, vol. 37, no. 3, p. 035173, Mar. 2025, doi: 10.1063/5.0256658.
J. Zou, Y. Yu, M. Mortezazadeh, H. Lu, A. Gaur, and L. Wang, “Evaluating climate change impacts on building level steady-state and dynamic outdoor thermal comfort,” Building and Environment, vol. 271, p. 112604, Mar. 2025, doi: 10.1016/j.buildenv.2025.112604.
S. Yan et al., “Implementing Bayesian inference on a stochastic CO2-based grey-box model,” Indoor Environments, vol. 2, no. 1, p. 100079, Mar. 2025, doi: 10.1016/j.indenv.2025.100079.
F. A. Sakib, T. Stathopoulos, and A. K. Bhowmick, “Wind-induced loads on canopies attached to building walls,” Journal of Wind Engineering and Industrial Aerodynamics, vol. 258, p. 106019, Mar. 2025, doi: 10.1016/j.jweia.2025.106019.
A. Athanasiou, L. Tirca, and T. Stathopoulos, “Wind design considerations for base-isolated post-disaster steel buildings in moderate seismic regions,” Journal of Constructional Steel Research, vol. 226, p. 109287, Mar. 2025, doi: 10.1016/j.jcsr.2024.109287.
G. Tian, D. Geng, L. (Leon) Wang, T. (Ted) Stathopoulos, M. Wan, and S. Chen, “Influence of blockage ratios in shaping wind dynamics in urban environments,” Journal of Wind Engineering and Industrial Aerodynamics, vol. 257, p. 106008, Feb. 2025, doi: 10.1016/j.jweia.2025.106008.
M. Li et al., “Cooling demand reduction with nighttime natural ventilation to cool internal thermal mass under harmonic design-day weather conditions,” Applied Energy, vol. 379, p. 124947, Feb. 2025, doi: 10.1016/j.apenergy.2024.124947.
D. Qi, D. Wang, Y. Wu, L. (Leon) Wang, and D. Derome, “Building physics process integrated renewables energy—Contributions from COBEE 2022,” Journal of Building Physics, vol. 48, no. 4, pp. 469–472, Jan. 2025, doi: 10.1177/17442591241304276.
S. Rayegan et al., “Modeling building energy self-sufficiency of using rooftop photovoltaics on an urban scale,” Energy and Buildings, vol. 324, p. 114863, Dec. 2024, doi: 10.1016/j.enbuild.2024.114863.
E. Norouzi, B. Li, L. L. Wang, J. Raymond, A. Gaur, and J. Zou, “Numerical evaluation of ground source heat pumps in a thawing permafrost region,” Journal of Building Engineering, vol. 98, p. 111035, Dec. 2024, doi: 10.1016/j.jobe.2024.111035.
A. Marey et al., “Forecasting Urban Land Use Dynamics Through Patch-Generating Land Use Simulation and Markov Chain Integration: A Multi-Scenario Predictive Framework,” Sustainability, vol. 16, no. 23, p. 10255, Nov. 2024, doi: 10.3390/su162310255.
R. Li et al., “Numerical simulation methods of tree effects on microclimate: A review,” Renewable and Sustainable Energy Reviews, vol. 205, p. 114852, Nov. 2024, doi: 10.1016/j.rser.2024.114852.
P. Gholamalipour, H. Ge, and T. Stathopoulos, “Impact of upstream buildings on Wind-Driven Rain Loading: Refining Obstruction Factor in ISO semi-empirical model based on CFD,” Journal of Building Engineering, vol. 97, p. 110717, Nov. 2024, doi: 10.1016/j.jobe.2024.110717.
R. Li, Y. Zhao, L. (Leon) Wang, J. Niu, X. Shi, and N. Gao, “Numerical investigation of the blockage effect of trees on airflow distributions in a wind tunnel,” Building and Environment, vol. 263, p. 111848, Sep. 2024, doi: 10.1016/j.buildenv.2024.111848.
A. Athanasiou, L. Tirca, and T. Stathopoulos, “Directional alongwind and crosswind effects on the performance of a 15-storey steel braced frame building in seismic environment,” Journal of Wind Engineering and Industrial Aerodynamics, vol. 251, p. 105790, Aug. 2024, doi: 10.1016/j.jweia.2024.105790.
T. Luo et al., “Fourier neural operator for large eddy simulation of compressible Rayleigh–Taylor turbulence,” Physics of Fluids, vol. 36, no. 7, p. 075165, Jul. 2024, doi: 10.1063/5.0213412.
S. Yang, D. Zhan, T. Stathopoulos, J. Zou, C. Shu, and L. L. Wang, “Urban microclimate prediction based on weather station data and artificial neural network,” Energy and Buildings, vol. 314, p. 114283, Jul. 2024, doi: 10.1016/j.enbuild.2024.114283.
S. Rayegan et al., “Achieving carbon neutrality at single and multi-building complex levels – A review,” Energy and Buildings, vol. 314, p. 114263, Jul. 2024, doi: 10.1016/j.enbuild.2024.114263.
I. Reda et al., “Exploring high-rise preventive ventilation: Experimental investigation of inter-zone air pressurization with tracer gas analysis,” Building and Environment, vol. 258, p. 111566, Jun. 2024, doi: 10.1016/j.buildenv.2024.111566.
A. Machard et al., “Typical and extreme weather datasets for studying the resilience of buildings to climate change and heatwaves,” Sci Data, vol. 11, no. 1, p. 531, May 2024, doi: 10.1038/s41597-024-03319-8.
X. Zhang, I. Reda, M. Aram, D. Qi, L. (Leon) Wang, and H. Fellouah, “Wind-driven smoke dispersion in rooftop photovoltaic fires: An experimental investigation with helium smoke,” Journal of Building Engineering, vol. 83, p. 108467, Apr. 2024, doi: 10.1016/j.jobe.2024.108467.
J. Yu, T. Stathopoulos, and M. Li, “Impact of upstream fetch on environmental wind engineering applications,” Journal of Wind Engineering and Industrial Aerodynamics, vol. 247, p. 105704, Apr. 2024, doi: 10.1016/j.jweia.2024.105704.
T. Potsis and T. Stathopoulos, “Evaluation of Wind Flow and Structural Loads by the Dynamic Terrain Approach,” SSRN Journal, 2024, doi: 10.2139/ssrn.4944018.
M. Aldoum and T. Stathopoulos, “Wind Pressures on Non-Curved and Non-Rectangular Roofs,” SSRN Journal, 2024, doi: 10.2139/ssrn.5038839.
Publications acceptées dans des conférences nationales et internationales:
L. L. Wang, “The Rise of Quantum Computing -- Take a BITE for Built Environment and Micro Climate Research,” Sept. 2025.
L. L. Wang, “Influence of Upstream Fetch for Environmental Wind Engineering,” Aug. 2025.
L. L. Wang, “ISO Wall Factor Refinement for Wind-Driven Rain on Buildings: CFD-based Machine Learning Models,” Aug. 2025.
L. L. Wang, “Process in Assessing Wind Loads on Roof-mounted Solar Panels: Research and Standards,” Aug. 2025.
L. L. Wang, “Wind Turbulence in the Built Environment via CPU and GPU Based LES,” Aug. 2025.
L. L. Wang, “A Comprehensive Experimental Study through Building-Integrated Wind Turbines,” July 2025.
L. L. Wang, “Optimization of Airflow Mixing based on Taguchi, ANOVA and GRA Methods,” July 2025.
L. L. Wang, “A Hybrid Approach for Urban Microclimate Modeling for Environmental and Structural Applications,” July 2025.
L. L. Wang, “Multi-objective Optimization of Airflow Mixing in various Distribution Systems with Taguchi-based Grey Relational Analysis: Application in a Classroom,” June 2025.
S. Qin, D. Geng, J. Vogel, A. Afshari, and L. (Leon) Wang, “Deep Learning for Urban Microclimate Downscaling: From Coarse WRF Data to Building-Resolved PALM Simulations,” May 2025. doi: 10.5194/icuc12-568.
J. Zou, L. Wang, S. Yang, M. Lacasse, and L. Wang, “Evaluating the Impacts of Natural Based Soluations on Long-term Urban Overheating through Machine Learning and Field Measurements,” May 2025. doi: 10.5194/icuc12-310.
A. Marey et al., “Spatiotemporal Urban Morphology Prediction: A Conditional Diffusion Model Approach,” May 2025. doi: 10.5194/icuc12-506.
S. Rayegan, L. (Leon) Wang, and R. G. Zmeureanu, “Urban-scale modeling of building energy self-sufficiency using rooftop photovoltaics,” May 2025. doi: 10.5194/icuc12-186.
L. L. Wang, “Validation of Turbulence Inflow Generation Methods for Wind Loads Prediction on a Generic Tall Building via LES,” May 2025.
Rapports:
Université de Sherbrooke et al., “International Energy Agency - Resilient Cooling of Buildings - Field Studies Report (Annex 80),” Institute of Building Research & Innovation, 2024. doi: 10.52776/JIIT7246.
Institute of Building Research & Innovation et al., “International Energy Agency - Resilient Cooling of Buildings - Key Performance Indicators Report (Annex 80),” Institute of Building Research & Innovation, 2024. doi: 10.52776/RHET5776.
Chapitres de livres:
K. Zheng et al., “A State-Of-The-Art Review on Scaling and Similarity Analysis of Thermal Flow in the Built Environment Using Helium Gas,” in Multiphysics and Multiscale Building Physics, vol. 553, U. Berardi, Ed., in Lecture Notes in Civil Engineering, vol. 553. , Singapore: Springer Nature Singapore, 2025, pp. 541–549. doi: 10.1007/978-981-97-8309-0_73.
O. Ahmed, L. Wang, and I. G. Hassan, “A Surrogate Urban Building Energy Model for Predicting Cooling Energy Consumption in a Hot and Arid Climate,” in Multiphysics and Multiscale Building Physics, vol. 553, U. Berardi, Ed., in Lecture Notes in Civil Engineering, vol. 553. , Singapore: Springer Nature Singapore, 2025, pp. 156–170. doi: 10.1007/978-981-97-8309-0_21.
Iris Guan: Canadian Young Leaders for Climate Resilience Program, Standards Council of Canada, October 6, 2025.
Theodore Stathopoulos: Research Impact Award, Concordia University, May 28, 2025.
Sohail Akhtar: Best paper presentation award, 23th Global Joint Seminar on GeoEnvironmental Engineering (GEE 2025), May 22-23, 2025.
Liangzhu Leon Wang: Provost's Circle of Distinction, Concordia University, April 22, 2025.
Liangzhu Leon Wang: ASHRAE Fellow, American Society of Heating, Refrigerating and Air-Conditioning Engineers, February 9, 2025.
But de la recherche
Décarbonisation et électrification
Ce projet vise à lancer le plan à long terme d’électrification et de décarbonisation, tout en créant des microclimats urbains sains et à l’épreuve des changements climatiques pour des groupes de bâtiments au Canada. L’un des objectifs mesurables consiste à analyser le climat, les conditions météorologiques et les caractéristiques urbaines des villes canadiennes dans diverses conditions socioéconomiques.
Résilience face aux conditions météorologiques extrêmes
Par l’intégration de solutions à l’épreuve des changements climatiques, le projet vise à atténuer les dégâts et les perturbations causés par les phénomènes météorologiques extrêmes comme les vagues de chaleur, les tempêtes et les vents.
Efficacité énergétique
Le projet favorise une compréhension globale des microclimats urbains, permettant ainsi d’évaluer de manière plus précise la consommation d’énergie des bâtiments. Grâce à ces connaissances, les collectivités pourront optimiser leur consommation et réduire la demande globale, ce qui se traduira par une plus grande durabilité énergétique.
Partenaires non universitaires
Merci à nos partenaires non universitaires pour leur soutien et leur confiance.
