Climate change is intensifying both heatwaves and windstorms, yet façade design practice lacks tools to evaluate thermal and wind resilience together — decisions are typically driven by energy compliance or structural codes alone, ignoring multi-hazard interactions. This thesis addresses that gap by asking how multi-objective optimization can link façade design parameters to both wind and thermal resilience metrics, generating design options that help architects navigate trade-offs between hazards.

The novelty lies in coupling EnergyPlus thermal simulation and Eddy3D wind (CFD) simulation within a single resilience-based framework, using Random Forest surrogate models trained on 500 Latin Hypercube-sampled façade configurations to enable fast, repeated evaluation. These surrogates feed an NSGA-II multi-objective optimization, producing a Pareto front of non-dominated designs.