Sustainable Architecture and Artificial Intelligence: A Collaborative Approach for a Greener Future

Abstract

This paper aims to review the capability of refining Artificial Intelligence (AI) to enhance building sustainability in aspects such as energy, materials, and resources throughout the life cycle process of building. Specifically, the study examines AI solutions' role in improving energy efficiency, waste reduction, and green construction to create a green built environment. Applying advanced technologies like generative design fuelled by AI, energy simulation, or predictive maintenance, where architects and engineers devise unique products to cure the environmental deficiencies created by traditional construction practices. This paper also presents a literature review of the current use of AI in sustainable buildings. It outlines the capability of AI to enhance renewable energy, occupant satisfaction, and circularity in building life cycles. This paper investigates how generative design, smart city design and planning, and life cycle design with the support of AI tools are instrumental in designing sustainable and energy-efficient structures. Use cases are employed to give examples of areas in which AI can be applied and its benefits to society, such as lowering carbon emissions and enhancing urban environmental efficiency. The results highlight the significance of AI in policy and strategy formation and building models that can reduce carbon emissions and resource utilization, as well as underline the last element of sustainability wellbeing. In the presented work, the role of AI in preserving the stability for further developments in the construction of smart and sustainable constructions is evidenced. In the last part of the paper, the author presents possible directions that the research can take in the future and the general impact that AI technologies can make for creating a sustainable future.