AI-Driven HVAC Optimization: Enhancing Energy Efficiency in Built Environments through Gree’s Intelligent Climate Control Technologies

As global urbanization accelerates, the demand for energy-efficient building environments continues to rise. Heating, ventilation, and air-conditioning (HVAC) systems account for nearly half of a building’s total energy consumption, highlighting the urgent need for intelligent optimization. This paper presents Gree Electric’s advancements in integrating artificial intelligence (AI) into HVAC systems to enhance energy efficiency and environmental comfort in built environments. The study introduces a multi-layer AI optimization framework combining real-time data analytics, adaptive control algorithms, and predictive maintenance to minimize energy waste across residential, commercial, and urban applications. Utilizing deep learning models and IoT-enabled sensor networks, Gree’s system dynamically adjusts temperature, humidity, and airflow based on occupant behavior, ambient conditions, and energy pricing signals. Experimental simulations and pilot installations demonstrate reductions of up to 25% in overall energy consumption while maintaining high user comfort and system reliability. This research also discusses Gree’s broader vision of AI-enhanced urban climate management, including the integration of smart HVAC with renewable energy systems and building energy management platforms. By aligning AI design strategies with sustainable architecture and smart city initiatives, Gree’s approach illustrates how data-driven climate control technologies can significantly contribute to low-carbon, intelligent urban environments. Future research will explore large-scale implementation models across diverse climatic zones, integration with district energy networks, and the development of autonomous control architectures for multi-building systems. The study contributes to advancing AI-based energy efficiency strategies and supports the global transition toward intelligent, resilient, and environmentally sustainable cities.