Modeling and Control in Air-conditioning Systems

This book investigates the latest modeling and control technologies in the context of air-conditioning systems. Firstly, it introduces the state-space method for developing dynamic models of all components in a central air-conditioning system. The models are primarily nonlinear and based on the fundamental principle of energy and mass conservation, and are transformed into state-space form through linearization. The book goes on to describe and discuss the state-space models with the help of graph theory and the structure-matrix theory.

Subsequently, virtual sensor calibration and virtual sensing methods (which are very useful for real system control) are illustrated together with a case study. Model-based predictive control and state-space feedback control are applied to air-conditioning systems to yield better local control, while the air-side synergic control scheme and a global optimization strategy based on the decomposition-coordination method are developed so as to achieve energy conservation in the central air-conditioning system. Lastly, control strategies for VAV systems including total air volume control and trim & response static pressure control are investigated in practice.

• Air Conditioning System
• Building Environment
• Building Ventilation
• Computational Fluid Dynamics
• Contaminant Transport
• Heating, Ventilation, Air Conditioning and
• Refrigeration(HVAC & R)
• State-space Model

• Shanghai Jiao Tong University, Shanghai, China

  Ye Yao

• University of Nebraska-Lincoln , Lincoln, USA

  Yuebin Yu

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