Facilitate Sustainable Architecture Through Computational Integration: A Three-Phase Framework

Computational integration in sustainable architecture involves the use of advanced technologies to create efficient, user-friendly, and eco-friendly designs. It represents a significant advancement in the field of architecture, offering the potential for more sustainable building practices. The paper systematically integrates and enhances knowledge across multiple dimensions of sustainable architecture, focusing on energy efficiency and reducing material waste from the early stages of an architect's learning process. The aim is to equip architects with the necessary skills to effectively integrate parametric and computational tools to meet sustainable building requirements and achieve greater construction efficiency. The paper then introduces a novel three-phase framework for computational integration in sustainable architecture. It addresses the challenges faced by architects in computational integration, from the uncertainty of selecting the proper computational tool to adopting optimization tools for prefabrication and production. The first phase, the Smart Learning Design Studio, Custom programmed algorithms are used to enhance the learning process in architectural education. The second phase emphasizes the enhancement of design process efficiency through the application of Building Information Modelling (BIM) technologies. The third phase involves the utilization of automated systems for prefabrication and construction. A theoretical analysis of the proposed framework is conducted, examining the potential benefits and challenges of each phase and their contribution to sustainable architecture. The paper concludes with a discussion on the implications of the proposed framework for sustainable architecture. The paper offers a comprehensive and systematic approach to understanding the role of computational integration in sustainable architecture