This paper explores the benefits of incorporating natural ventilation (NV) simulation into a generative process of designing residential buildings to improve energy efficiency and indoor thermal comfort. Our proposed workflow uses the Wave Function Collapse algorithm to generate a diverse set of plausible floor plans. It also includes post-COVID occupant presence models while incorporating adaptive comfort models. We conduct four sets of experiments using the workflow, and the simulated results suggest that multi-mode cooling strategies combining conventional air conditioning with NV can often significantly reduce energy use while introducing only slight reductions in thermal comfort.

翻译：本文探索了将自然通风（NV）模拟融入住宅建筑生成式设计流程中，以提升能效与室内热舒适性的优势。所提出的工作流采用波函数坍缩算法生成多样化的可行平面布局，同时引入后疫情时期的人员占用模型，并结合自适应舒适度模型。通过该工作流开展的四个实验组结果表明，采用传统空调与自然通风相结合的多模式冷却策略，通常能在仅轻微降低热舒适度的情况下显著减少能耗。