Passive Energy Conservation Measures: Climate Change Mitigation in Built Environment - Lin Wang

The fourth seminar in this current series will be hosted by the new CIB President Dongping Fang. Our invited speaker is Lin Wang, coordinator CIB W040 – Heat and Moisture Transfer in Buildings

Title - Passive Energy Conservation Measures: Climate Change Mitigation in Built Environment

Abstract

Climate change is one of the most important global challenges that requires international collaboration to support informed strategies for mitigation and effective approaches to adaptation. Passive energy conservation measures have been widely adopted in the construction industry to reduce carbon emissions from buildings, retard the progress of climate change. In the past year, CIB W040 researchers conducted a systematic review of passive energy conservation measures, to evaluate their effectiveness in different climate zones, identify the knowledge gaps of simulation-based designs and technical barriers to implement these measures at urban scale under changing climate. This presentation will provide an overview of this systematic review, highlighting potential future works on the use of passive energy conservation measures for mitigating climate change and achieving the goal of decarbonization.

Biography

Dr. Lin Wang is a Research Officer in the Construction Research Centre at National Research Council Canada. His research focuses on hygrothermal performance analysis, energy-efficient retrofit, and climate-resilient design of building envelope systems. He holds BASc. and MASc. degrees in HVAC Engineering, and PhD degree in Building Engineering. He has extensive industrial and academic experience in energy efficient and sustainable building design. He has led the development of Canadian national guideline on assessing the risks to moisture-related deteriorations of building envelope systems under climate change. He initiated CIB W040 research program for 2025-2028 and led the development of working agenda. His current work is to advance stochastic simulation approach for probabilistic assessment of passive energy conservation measures.