Open-air school movement aims to maximize daylighting through fully glazed façade to enhance the well-being and performance of students. Excessive daylight, however, causes discomfort and would, therefore, require shading. While research into optimizing daylighting are numerous; these, however, do not seem to follow a clear and consistent path of investigation. Consequently, the optimized solution may differ. This paper aims to formalize a systematic way to optimize shading devices in predefined steps towards forming a ‘Standardized optimization methodology’. A real challenge of the daylighting-shading situation is investigated in a pedagogical architectural design studio at the German University in Cairo to evaluate the proposed methodology. Daylighting measurements validated Radiance simulation by 94% correlation. Genetic algorithms are used to optimize daylighting. The parametric simulation and sensitivity indices validated the optimized solution and provided an insight on the significant shading devices on daylighting model response, and therefore, the findings validate the application of the standardized methodology.

露天学校运动旨在通过全玻璃幕墙最大程度地增加采光，以增强学生的健康和表现。但是，日光过多会导致不适，因此需要遮光。尽管有关优化日光的研究很多，但其中的一些内容却没有得到证实。但是，这些似乎没有遵循明确一致的调查途径。因此，优化的解决方案可能会有所不同。本文旨在规范化一种系统方法，以预定的步骤优化遮光设备，以形成“标准化的优化方法”。在开罗德国大学的教学建筑设计工作室中，研究了采光遮光情况的真正挑战，以评估所提出的方法。采光测量通过94％的相关性验证了辐射度仿真。遗传算法用于优化采光。参数仿真和灵敏度指标验证了优化的解决方案，并提供了关于采光模型响应的重要遮光设备的见解，因此，这些发现验证了标准化方法的应用。