AI-Driven Parametric Design for Performance- Oriented Northern Residential Buildings

Abstract

In this article, the application of artificial intelligence (AI) and boundary design methods combine algorithmic AI with boundary design tools, and we introduce a new workflow for creating and evaluating housing plans in the initial design phase. By extracting database status and parameters, many design solutions can be quickly created, with a focus on automating the design process. Evaluate these alternative solutions using energy simulation data to determine the most effective solution. This article introduces the Grasshopper for automatically generating flat graph levels, and the results show that compared with current design methods, the repetition time of charts is greatly reduced, and energy efficiency is improving.