Climate-AIded Environmental Design (CAIED). Two case studies between potentialities and issues

The research focuses on how Generative AI tools can be integrated into the Sustainable Aided Design (SADE) framework, assessing its potential and the challenges related to sustainable design. More specifically, this study introduces the Climate-AIded Environmental Design (CAIED) framework to improve the integration of projects and establish whether generative AI can help an architect design a sustainable building by providing early-stage control over the sustainability features. It is a methodology that combines text-to-image and chatbot techniques in an environmental and bioclimatic residential project response evaluation framework, considering future climatic scenarios and the urban context in which the building is located. This emphasizes passive strategies from the early design stages. Instructions given by chatbots are reinterpreted as prompts for text-to-image processes. It proposes a framework through which AI tools may support visual inspiration, textual instructions, and programmatic outputs for architectural design within CAIED.