Application Of Ai-Based Systems In Smart Sports Facilities: Enhancing Sustainability And Energy Efficiency In Urban Environments

Abstract

As global energy consumption in the building sector continues to rise, sports facilities have become critical focal points in the urgent pursuit of sustainable urban transformation. This study presents a comprehensive review of the application of artificial intelligence (AI) in smart sports facilities, focusing on its role in enhancing energy efficiency and promoting urban sustainability. Amid accelerated urbanization and increasing climate pressures, sports venues integrating AI, IoT, and automation technologies have emerged as key sites for energy management, spatial optimization, and behavioral guidance. Drawing on literature from 2015 to 2025, this paper identifies four major domains of AI application: energy monitoring and scheduling, autonomous environmental control, user interaction and behavioral nudging, and contextual adaptability with sustainability integration. It further analyzes measurable energy-saving outcomes, contributions to carbon reduction, and alignment with international green building certification systems such as LEED, BREEAM, and WELL. While AI technologies offer transformative potential, their implementation still faces challenges related to data infrastructure, cost-effectiveness, human-machine interaction, and ethical governance. The study highlights the importance of interdisciplinary collaboration, localized adaptation, and institutional frameworks to ensure effective deployment and social acceptance. It concludes with future directions, including the development of performance-based AI sustainability indicators, regional energy data platforms, cross-sector collaboration models, and inclusive user engagement mechanisms, positioning AI as a critical enabler of resilient, low-carbon, and people-centered urban sports infrastructure.