AI-Based Optimization of HVAC Systems in Kuwait (A Descriptive Study on Industry Adoption and Performance Benefits)
Author:
Abdullah H. Alkhalidi
Abstract: In high-temperature regions such as Kuwait, HVAC systems are essential for indoor comfort and energy management. This study examines the adoption and effectiveness of Artificial Intelligence (AI)-based optimization in HVAC systems among industry professionals in Kuwait. Using a descriptive survey methodology, data were collected from 203 professionals including HVAC engineers, facility managers, and maintenance supervisors using a structured questionnaire designed to capture both quantitative and qualitative data during five months from October 2024 to February 2025. The results showed moderate adoption levels of AI, with high perceived benefits in areas such as energy efficiency, cost reduction, system optimization, and predictive maintenance. However, barriers such as high initial costs, technical skill gaps, and data security concerns hinder broader implementation. also, the findings suggest a need for a coordinated approach involving government policies, industry innovation, and workforce training to overcome these challenges. As the demand for energy-efficient and sustainable building systems continues to rise, AI-based solutions are well-positioned to transform HVAC operations in Kuwait and similar environments. Future research should focus on validating these perceptions through empirical data and exploring scalable, cost-effective models for AI integration. Keywords: Artificial Intelligence (AI), HVAC systems, Energy efficiency, Building sustainability, Operational optimization, Kuwait. 
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Academic Journal of Research and Scientific Publishing
doi.org/10.52132/Ajrsp.e.2025.72.1 