Optimizing solar access is fundamental for developing ‘Sustainable Healthy Cities’ and ensuring occupant well-being in high-radiation climates like Egypt. This study establishes an environmental methodology to enhance urban sustainability by controlling solar exposure to facades to mitigate health risks and reduce energy demand. The methodology involved a verified simulation using Autodesk Revit with Insight, followed by a comparative analysis of 45 scenarios. These scenarios evaluated the impact of orientation, geometry, urban spacing, etc., on solar performance. Additionally, the paper discusses the prospective integration of Generative AI and algorithmic engines to automate solar access layouts, proposing a roadmap for future AI-driven sustainable urban planning. The results indicate that strategic adjustments in urban morphology significantly improve solar access levels, directly influencing indoor environmental quality. The findings serve as a scalable framework applicable to regions like Kafr El-Sheikh or adaptable to extreme climates like Aswan, aligning with the UN Sustainable Development Goals (SDGs 3 and 11). In conclusion, this study demonstrates that environmental simulation provides a pragmatic pathway for architects to achieve integrated sustainability and healthy urban standards. This research offers a foundation for future sustainability investigations into thermal comfort and non-linear interactions between urban variables to refine solar access strategies in diverse contextual conditions.
Yazeed et al. (2026) studied this question.