Advanced Control Strategies in HVAC System Design for Improved Energy Efficiency in Commercial Buildings

Abstract

Heating, Ventilation, and Air Conditioning (HVAC) systems are crucial for maintaining comfortable indoor environments in commercial buildings. However, they also represent a significant portion of energy consumption, contributing to high operational costs and environmental impact. This paper explores the integration of advanced control strategies in HVAC system design to enhance energy efficiency in commercial buildings. By leveraging technologies such as Model Predictive Control (MPC), Fuzzy Logic Control (FLC), and Artificial Neural Networks (ANNs), HVAC systems can optimize their performance in real-time, adjusting to varying indoor and outdoor conditions. The study reviews the current state of HVAC control strategies, identifies the benefits and challenges of implementing advanced control systems, and presents case studies demonstrating successful applications. The findings suggest that advanced control strategies can significantly reduce energy consumption while maintaining or improving indoor air quality and occupant comfort. Future research directions and practical recommendations for integrating these technologies into existing and new HVAC systems are also discussed.