Sustainable Architecture Design Optimization: The Role of Artificial Intelligence in Reducing Energy Consumption

سال انتشار: 1403
نوع سند: مقاله کنفرانسی
زبان: فارسی
مشاهده: 23

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شناسه ملی سند علمی:

CAUPCONF08_011

تاریخ نمایه سازی: 12 تیر 1404

چکیده مقاله:

Sustainability in buildings and energy consumption optimization in architectural designs have become one of the main challenges in the construction industry today. In this context, the use of Artificial Intelligence (AI) as an innovative tool holds significant potential for enhancing efficiency and optimizing the design process of buildings and energy management. This article explores the impact of AI on the design of sustainable buildings and energy optimization, analyzing the challenges, opportunities, and potential of this technology in architecture.Given the increase in population and climate change, the importance of designing sustainable buildings that can reduce energy consumption and optimize the use of natural resources is increasingly felt. This study particularly focuses on the application of AI in predicting energy needs of buildings, designing optimal shading systems, reducing energy consumption in different seasons, and fostering creative and innovative designs. The article also addresses the main challenges of implementing these technologies in the design process, including the need for accurate data, technical complexities, and initial costs, and discusses possible solutions to overcome these issues. Ultimately, by highlighting the potential of human-machine collaboration, it demonstrates how the combination of human design knowledge with AI capabilities can lead to more optimized, sustainable, and efficient designs. The research concludes that if existing challenges are addressed and access to AI technologies is expanded, this technology can play a key role in the transformation of sustainable architecture, leading to significant reductions in energy consumption and environmental impact.

نویسندگان

Fereshteh Mahdi

Shahab Danesh University, Qom, Iran