The building environment has high energy consumption and carbon emission which contributes to the rapid climate change. The changing climate condition not only impacts the natural environment but also our habitation. To improve the building performance in both energy and indoor c
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The building environment has high energy consumption and carbon emission which contributes to the rapid climate change. The changing climate condition not only impacts the natural environment but also our habitation. To improve the building performance in both energy and indoor comfort, performance-based design is commonly applied in architectural design. In general, a building lifespan is around 80 years, which means the buildings are designed and constructed now would face different climate conditions than the weather we used to evaluate the performance. To prevent the influence caused by climate change, this research develops computational workflows to generate predicted future climate conditions and multi-objective optimization to study the relationship between design decisions, climate conditions, and building performance. The conclusion of this research is based on the comparison and discussion of the result of optimization from five different climate and design scenarios with a single case study building.