Citation :

Ankitkumar Tejani, 2024. "AI-Driven Predictive Maintenance in HVAC Systems: Strategies for Improving Efficiency and Reducing System Downtime" ESP International Journal of Advancements in Science & Technology (ESP-IJAST) Volume 2, Issue 3: 6-19.

Abstract :

The current research seeks to analyze the use of artificial intelligence-based predictive maintenance techniques in HVAC systems, with particular emphasis on reducing equipment downtime. Work done in this paper shows that conventional maintenance techniques, such as reactive and preventive maintenance, contribute to rising operational costs and unanticipated system breakdowns. Predictive maintenance, on the other hand, is an AI and machine learning-based solution that helps identify failure points in advance and provides the best time for maintenance and upkeep of the systems for uninterrupted runtime by the system. This study also presents the current developments in AI technologies, such as data analytics models, sensors, and real-time monitoring, that aid in the identification of early signs of anomalies and prediction. The performance of the proposed approach is explained with the help of case studies and empirical facts that show that AI-driven predictive maintenance has positive effects on energy consumption, cost, and reliability of the systems. The results prove that the role of AI is significant for the development of the HVAC industry and the improvement of its effective and innovative maintenance.

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[21] Ankitkumar Tejani, 2021. "Assessing the Efficiency of Heat Pumps in Cold Climates: A Study Focused on Performance Metrics", ESP Journal of Engineering & Technology Advancements 1(1): 47-56.

[22] Ankitkumar Tejani, 2021. "Integrating Energy-Efficient HVAC Systems into Historical Buildings: Challenges and Solutions for Balancing Preservation and Modernization", ESP Journal of Engineering & Technology Advancements 1(1): 83-97.

[23] Ankitkumar Tejani, Jyoti Yadav, Vinay Toshniwal, Rashi Kandelwal, 2021. "Detailed Cost-Benefit Analysis of Geothermal HVAC Systems for Residential Applications: Assessing Economic and Performance Factors", ESP Journal of Engineering & Technology Advancements, 1(2): 101-115.

[24] Ankitkumar Tejani, Jyoti Yadav, Vinay Toshniwal, Harsha Gajjar, 2022. "Achieving Net-Zero Energy Buildings: The Strategic Role of HVAC Systems in Design and Implementation", ESP Journal of Engineering & Technology Advancements, 2(1): 39-55.

[25] Ankitkumar Tejani, Harsh Gajjar, Vinay Toshniwal, Rashi Kandelwal, 2022. "The Impact of Low-GWP Refrigerants on Environmental Sustainability: An Examination of Recent Advances in Refrigeration Systems" ESP Journal of Engineering & Technology Advancements 2(2): 62-77.

[26] Ankitkumar Tejani, Jyoti Yadav, Vinay Toshniwal, Harsha Gajjar, 2022. "Natural Refrigerants in the Future of Refrigeration: Strategies for Eco-Friendly Cooling Transitions", ESP Journal of Engineering & Technology Advancements, 2(1): 80-91.

[27] Ankitkumar Tejani, Vinoy Toshniwal, 2023. "Enhancing Urban Sustainability: Effective Strategies for Combining Renewable Energy with HVAC Systems" ESP International Journal of Advancements in Science & Technology (ESP-IJAST) Volume 1, Issue 1: 47-60.

[28] Ankitkumar Tejani, Rashi Khandelwal, 2023. "Enhancing Indoor Air Quality through Innovative Ventilation Designs: A Study of Contemporary HVAC Solutions" ESP International Journal of Advancements in Science & Technology (ESP-IJAST) Volume 1, Issue 2: 35-48.

[29] Ankitkumar Tejani, Vinay Toshniwal, 2023. "Differential Energy Consumption Patterns of HVAC Systems in Residential and Commercial Structures: A Comparative Study" ESP International Journal of Advancements in Science & Technology (ESP-IJAST) Volume 1, Issue 3: 47-58.

Keywords :

Predictive Maintenance, HVAC Systems, Machine Learning, Energy Efficiency, Real-Time Monitoring, Anomaly Detection.