AI-Based Optimization of HVAC Systems in Kuwait (A Descriptive Study on Industry Adoption and Performance Benefits)

Author: Abdullah H. Alkhalidi
The Public Authority for Applied Education & Training (PAAET), State of Kuwait
doi.org/10.52132/Ajrsp.e.2025.72.1


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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AJRSP
International peer-reviewed journal
ISSN: 2706-6495
Email: editor@ajrsp.com

Coming Issue: (73)
Submission Deadline:
27 April 2025
Date of Issue:
5 May 2025

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AJRSP follows academic conditions and rules for the arbitration and dissemination of scientific research. All published articles have undergone a rigorous peer-review process based on initial screening and final decision.

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