空调系统建模及控制（英文版）

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