AI Applications in Climate Resilient & Sustainable Architectural Engineering
Sustainable and climate-resilient building design requires realistic modelling of urban microclimate interaction with building at various scales (component → building → neighbourhood → city). This includes both (i) normally recurring microclimate conditions driven by thermal variations and/or normal wind for natural ventilation and building energy efficiency studies, and (ii) extreme climate conditions such as hurricane landfall, tornado touchdown or extreme winter for capacity and safety design. Alan Davenport’s “wind-loading-chain” links the modelling of extreme wind, exposure, aerodynamics, and dynamics to particular design criteria. Its expansion to (i) non-synoptic winds such as tornadoes and downbursts; (ii) micro-climatic loads such as thermal loads, (iii) optimal building aerodynamic solutions; and (iv) community level wind performance assessment will be presented, through representative research projects from each category. The role of AI in realizing climate-resilient and sustainable architectural engineering will be emphasized.
Dr Bitsuamlak is the Canadian Research Chair in Wind Engineering at Western University. He serves as the Research Director for both the Boundary Layer Wind Tunnel Laboratory and WindEEE Research Institute, and is the Site-leader for SHARCNET computing centre. His team is actively working on modelling microclimate effects to enhance the performance of buildings and cities for extreme wind (e.g. hurricane and tornado safety), and normal climate (e.g. natural ventilation). He develops optimal building design methods that utilize computational (mechanics), AI, and physical experiments. He has executed aero elastic analysis of super-tall buildings such as the Freedom Tower in New York. He is a Fellow of CSCE.