1 Introduction 1．1 Background 1．2 Modeling Approaches in HVAC Field 1．2．1 Physics-Based Modeling Approach 1．2．2 Data-Driven Modeling Approach 1．2．3 Hybrid Modeling Approach 1．3 Proposed Methods 1．3．1 State-Space Modeling 1．3．2 Graph-Theory Modeling 1．3．3 Combined Forecasting Modeling 1．3．4 Decomposition-Coordination Algorithm for Global Optimization Model 1．3．5 Virtual Calibration for HVAC Sensors 1．3．6 Model-Based Predictive Control （MPC） 1．4 Organization of This Book References 2 Component Modeling with State-Space Method 2．1 Basic Knowledge about State-Space Modeling Method 2．2 Modeling for HVAC Components 2．2．1 Water-to-Air Heat Exchanger 2．2．2 Chiller 2．2．3 Cooling Tower 2．2．4 Duct （Pipe） and Fan （Pump） 2．2．5 Air-Conditioned Room Modeling 2．3 Modeling for HVAC System 2．3．1 Component Model Connection 2．3．2 State-Space Representation for HVAC System 2．3．3 Case Study References 3 Dynamic Simulations with State-Space Models 3．1 On Water-to-Air Surface Heat Exchanger 3．1．1 Subjected to Different Perturbations 3．1．2 For Different Initial Conditions 3．2 On Chiller 3．2．1 Subjected to Different Perturbations 3．2．2 For Different Initial Conditions 3．3 On Cooling Tower 3．3．1 Subjected to Different Perturbations 3．3．2 For Different Initial Conditions 3．4 On Duct and Pipe 3．4．1 On Straight-Through Duct 3．4．2 On Straight-Through Pipe 3．5 On Air-Conditioned Room 3．5．1 Basic Conditions 3．5．2 Subjected to Different Perturbations 4 Graph-Theory Modeling and Structure-Matrix Analysis 4．1 Graph-Theory Modeling for HVAC Component State-Space Models 4．1．1 Fundamental Rules 4．1．2 Case Study 4．2 Graph-Theory Modeling for HVAC System 4．2．1 Basic Method 4．2．2 Case Study 4．3 Structure-Matrix Analysis Approach 4．3．1 Model Structural Matrix 4．3．2 Reachability Analysis of Model Input-Output 4．3．3 Controllability/Observability Analysis of Model 4．3．4 Case Study References 5 Virtual Measurement Modeling 5．1 Virtual Calibration 5．1．1 Conventional Calibration 5．1．2 Methodology of Virtual In Situ Calibration 5．1．3 Case Study 5．2 Virtual Sensing 5．2．1 Development Methodology for Virtual Sensing 5．2．2 Case Study 5．2．3 Model Development References 6 Control Design Based on State-Space Model 6．1 Model-Based Predictive Control （MPC） 6．1．1 Introduction of MPC 6．1．2 MPC in Broad Definition 6．2 Applications of MPC in HVAC Field 6．2．1 Control of a Hybrid Ventilation Unit 6．2．2 Control of Space Thermal Conditioning 6．3 State-Space Feedback Control System Design 6．3．1 Basic Principle 6．3．2 Control System Design for Water-to-Air Heat Exchanger 6．3．3 MATLAB Simulation of the Control System 6．3．4 Control System Design for Refrigeration System References 7 Combined Forecasting Models for Air-Conditioning Load Prediction 7．1 Typical Methods 7．1．1 MLR Modeling 7．1．2 ARIMA Modeling 7．1．3 GM Modeling 7．1．4 ANN Modeling 7．2 Combined Forecasting Model Based on Analytic Hierarchy Process （AHP） 7．2．1 Principles of the Combined Forecasting Method 7．2．2 Determining Weights by Analytic Hierarchy Process （AHP） 7．2．3 Combined Forecasting Model for Hourly Cooling Load Prediction Using AHP 7．3 Forecasting Model Based on Neural Network and Combined Residual Error Correction 7．3．1 Model Development 7．3．2 Case Study References 8 Energy Analysis Model for HVAC System 8．1 Energy Models for HVAC Components 8．1．1 Chiller 8．1．2 Boiler 8．1．3 Pump and Fan 8．1．4 Cooling Tower 8．1．5 Water-to-Air Heat Exchanger 8．2 Energy-Saving Analysis on VAV Air-Conditioning System 8．2．1 Evaluation Program for Energy Saving of VAV System 8．2．2 Case Study 8．3 Energy Analysis on VAV Air-Conditioning System with Different Air-Side Economizers 8．3．1 Scheme for Air Economizer Cycle 8．3．2 Case Study References 9 Optimal Control of HVAC System Aiming at Energy Conservation 9．1 Air-Side Synergic Control 9．1．1 Background and Basic Idea 9．1．2 Mathematic Deduction of Synergic Control Model 9．1．3 Control Logic Details 9．1．4 Case Study 9．2 Global Optimization Control 9．2．1 Model Development 9．2．2 Decomposition-Coordination Algorithm for Model Solution 9．2．3 Case Study Appendix References 10 Modeling and Control Strategies for VAV Systems 10．1 Background and Research Status 10．2 Modular Modeling with Simulink Tool 10．3 Model Library for Components of VAV System 10．3．1 VAV Terminal Unit 10．3．2 Variable Speed Fan 10．3．3 Air Ducts 10．3．4 Other Local Resistance Components 10．3．5 Application of Component Model Library： Case Study 10．4 Control Strategies for VAV System 10．4．1 Constant Static Pressure Method 10．4．2 Total Air Volume Method 10．4．3 Variable Static Pressure Method Based on Trim-and-Respond Logic 10．5 Control Sequences for VAV System with Different Terminal Units 10．5．1 For Cooling-Only Terminal Unit 10．5．2 For Reheat Terminal Unit 10．5．3 For Series Fan-Powered Terminal Unit 10．6 Test Script for VAV Control Study 10．6．1 Preparation 10．6．2 General Inspection of Air-Handling and Distribution System 10．6．3 Trend Data Review References
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