Multi-Objective Solar-Driven Generative Urban Design: an urban zoning approach for Western Sydney, Australia
- Publication Type:
- Thesis
- Issue Date:
- 2025
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This PhD thesis develops a computational framework for solar-responsive urban design to address the increasing challenges of urban densification and climate adaptation. Using Western Sydney as a case study, the research combines environmental simulation tools with evolutionary optimization algorithms to balance competing solar performance objectives across different scales and seasons.
The study uses a Research through Design methodology to explore how urban morphology influences solar access, daylight availability, and thermal comfort in humid subtropical climates. Key evaluation metrics include Sky View Factor (SVF) and sunlight hours to measure solar performance on building facades, rooftops, and pedestrian areas. The framework proceeds through five organized stages: design variable selection, objective setting, algorithmic optimization, output analysis, and result interpretation. This multi-objective approach tackles the spatial and seasonal challenges of solar design, especially the balance between beneficial winter solar gain and summer overheating issues.
Testing various design scenarios, from district-level planning to building envelope design, the research shows the framework's flexibility in supporting data-driven design choices. The results provide key insights into maximizing daylight access while reducing thermal discomfort, offering a repeatable method for climate-responsive urban development. Ultimately, this thesis promotes sustainable design by offering a systematic way to incorporate solar considerations into planning.
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