مؤسسة الشرق الأوسط للنشر العلمي
عادةً ما يتم الرد في غضون خمس دقائق
This research explores the evolution and potential of smart buildings as a response to the persistent energy inefficiencies found in traditional and even well-commissioned structures. Despite existing energy-saving practices, buildings continue to use up to three times more energy than predicted. Smart buildings leverage advanced technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), and Building Automation Systems (BAS) to create intelligent environments capable of real-time data monitoring, decision-making, and system optimization. Smart buildings integrate physical elements—like orientation, insulation, and materials—with advanced control systems for HVAC, lighting, and security. AI agents are central to these systems, offering capabilities in perception, cognition, and control to optimize comfort, energy use, and operational performance. The study highlights the need for standardized reference architecture to enable scalable, cost-effective smart systems across diverse building types. The paper proposes the B-SMART reference architecture, enabling interoperability between new technologies and legacy systems. It supports efficient energy management through data-driven decision-making and enhances system integration via modular, AI-enabled platforms. Smart buildings contribute to global sustainability goals by reducing emissions, improving indoor environmental quality, and enabling adaptive, user-centered spaces. The research underscores the importance of combining sustainable design practices with intelligent systems to meet future urban and environmental challenges.