説明
Artificial Intelligence are transforming sustainable design in the AEC—not just by assisting, but by accelerating and automating core environmental analysis tasks. Today, bespoke machine learning models can simulate complex climate factors like solar exposure, lighting performance, wind comfort, and embodied carbon with unprecedented speed—cutting simulation times by up to 99% compared to traditional methods. These AI-driven tools allow teams to run high-fidelity analyses in real time, enabling rapid iteration and better design outcomes from the earliest project stages. We’ll also look at how generative tools and intelligent code assistants are offering informed suggestions—optimizing building performance, ensuring code compliance, and integrating Sustainable Design seamlessly into daily workflows. Real-world case studies will highlight how these technologies are driving a fundamental shift toward smarter, greener, and faster decision-making across the AEC industry
主な学習内容
- Learn how AI and machine learning are reducing the time, cost, and complexity of environmental simulations.
- Learn how AI tools support early design by predicting energy use, carbon impact, and climate performance.
- Learn how generative tools and AI assistants optimize code compliance, performance, and team collaboration.
- See real-world examples of AI improving Sustainable Design, speed, and outcomes across AEC design workflows.