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To ensure proper functioning, minimize environmental impact, and provide optimal indoor conditions for occupants, HVAC systems must be designed, operated, and maintained efficiently. Optimization and control methods are the most commonly used energy conservation techniques in HVAC systems. Modeling HVAC systems is an essential step toward conserving energy and improving indoor air quality, prior to implementing optimization and control. Currently, the most common methods for modeling HVAC systems can be classified into three types: data-driven modeling, physics-based modeling, and gray box modeling; each method has its own unique advantages and disadvantages.

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State of the Art

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  • 发表日期：

    2025年

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  • Tianyi Zhao,
  • Jiaming Wang,
  • Yiting Wang

摘要

To ensure proper functioning, minimize environmental impact, and provide optimal indoor conditions for occupants, HVAC systems must be designed, operated, and maintained efficiently. Optimization and control methods are the most commonly used energy conservation techniques in HVAC systems. Modeling HVAC systems is an essential step toward conserving energy and improving indoor air quality, prior to implementing optimization and control. Currently, the most common methods for modeling HVAC systems can be classified into three types: data-driven modeling, physics-based modeling, and gray box modeling; each method has its own unique advantages and disadvantages.