Chapter 9: Enhancing Building Climatic Performance Using AI-Assisted Facade Design: Evidence From the Literature

This chapter delves into the corpus of research concerning the employment of artificial intelligence (AI) in the realm of building design, particularly focusing on the myriad AI methodologies applicable for optimizing building facades to enhance climatic performance. The primary objective is to identify pivotal factors influencing indoor air quality and assess the feasibility and relevance of AI implementation to ameliorate these factors. Notwithstanding the recent emphasis on optimizing architectural configurations, there exists a notable dearth of scholarly inquiry in this domain. This chapter endeavors to augment the understanding of how AI can be leveraged to enhance building facade design and promote the sustainability of built environments. The methodology entails a thorough examination of extant literature pertaining to the utilization of AI during the pre-building design phase, with a particular emphasis on the optimization of facade components and materials. Furthermore, the chapter scrutinizes case studies and practical applications of AI in facade design, illustrating its potential to enhance environmental performance and foster innovative design solutions. However, given the nascent nature of this field.