MODELING OF VERTICAL GROUND LOOP HEAT EXCHANGERS FOR

1,71
MB GROUND SOURCE HEAT PUMP SYSTEMS

251
stron

6386
ID Oklahoma State University

2000
rok

TABLE OF CONTENTS

Chapter Page

1. INTRODUCTION .1

2. BACKGROUND AND LITERATURE REVIEW .8

2.1 Existing Design and Simulation Tools for Ground Loop Heat Exchangers-Analytical.8

2.1.1. Ingersoll’s Approach10

2.1.2. Hart and Couvillion Approach.13

2.1.3. IGSHPA Approach 17

2.1.4. Kavanaugh’s Approach21

2.2. Existing Design and Simulation Tools for Ground Loop Heat Exchangers-Numerical.26

2.2.1. Eskilson’s Model .27

2.2.2. Hellstrom’s Model .29

2.2.3. Thornton et al. Implementation of Hellstrom’s Model31

2.2.4. Mei and Emerson Model31

2.2.5. Muraya’s Model.32

2.2.6. Rottmayer, Beckman and Mitchell Model.32

2.2.7. Shonder and Beck Model.33

2.3. Currently Available Methods for the Determination of Thermal Conductivity of Ground

Formation .34

2.3.1. Steady State Methods.36

2.3.2. Transient Methods .36

3. DEFINITION OF THE PROBLEM AND OBJECTIVES 38

4. TRANSIENT, TWO-DIMENSIONAL NUMERICAL MODEL OF THE VERTICAL GROUND HEAT

EXCHANGER.42

4.1. Finite Volume Approach.43

4.2. Parametric Grid Generation46

4.3. Pie-Sector Approximation 47

4.4. Boundary Conditions 49

4.5. Convective Resistance Adjustment .51

4.6. Model Validation and Error Analysis .53

4.6.1. Validation Test Cases 55

4.6.1. Sensitivity to Grid Resolution and Time Step .57

4.7. Discussion of the Results 63

5. SHORT TIME-STEP RESPONSE FACTOR MODEL 66

5.1. Eskilson’s Long Time-Step Temperature Response Factors Model.66

5.2. Short Time-Step Temperature Response Factors .70

5.2.1. Development of Short Time-Step g-Functions 70

5.2.2. Aggregation of Ground Loads .74

5.3. Component Model for TRNSYS 82

5.4. Example Application for the Component Model85

5.5. Discussion of the Model Results.89

6. SHORT TIME-STEP RESPONSE FACTOR MODEL VALIDATION90

6.1. Description of the Maxey Elementary School Ground Source Heat Pump System90

6.2. Monitored Field Data 91

6.3. Comparison of Model Predictions and Field Data94

6.3.1. Adjustments to Field Data .94

6.3.2. Adjustments to the Short Time Step Component Model.95

6.3.3. Short Time Step Model Predictions .98

6.4. Sensitivity Analysis 102

6.4.1. Power Consumption Sensitivity Analysis based on Maximum Power Consumption103

6.4.2. Power Consumption Sensitivity Analysis based on Total Error in Power Consumption for the

Best and Worst Prediction Months .105

6.5. Discussion of Model Validation .106

7. EXAMPLE APPLICATION USING A HYBRID GROUND SOURCE SYSTEM 109

7.1. Background on Hybrid Ground Source Heat Pump Systems .109

7.2. Review of Literature .112

7.3. Supplemental Heat Rejection117

7.4. Hybrid System Operation Using the Short Time-Step Simulation Model .118

7.4.1. Example Hybrid System Description.118

7.4.2. Climatic Considerations-Building Loads.119

7.4.3. Hybrid System Component Configuration 121

7.4.4. Ground Loop Heat Exchanger and Cooling Tower Sizing 122

7.4.5. Operating and Control Strategies .124

7.4.5.1. Base Case-Optimum Design of the Borefield without Supplemental Heat Rejection.127

4.1. Input Data Varied for Model Validation Test Cases 56

4.2. Input Data common to all Validation Test Cases .56

4.3. Relative Error (%) between the Analytical and Numerical Results for each Test Case at 1 and

192 hours Simulated Time (3- min. time steps) 58

6.1 Comparison of Total Error on Maxey Elementary School Power Consumption for the Months

August and December 1996106

7.1. System Simulation Summary for Base Case 130

7.2. System Simulation Summary for Case 2 133

7.3. Hybrid System Simulation Summary for Control Strategy 3a .135

7.4. Hybrid System Simulation Summary for Control Strategy 3b .136

7.5. Hybrid System Simulation Summary for Control Strategy 4a .140

7.6. Hybrid System Simulation Summary for Control Strategy 4b .141

7.7. Hybrid System Simulation Summary for Control Strategy 4c .142

7.8. Hybrid System Simulation Summary for Control Strategy 5a .145

7.9. Hybrid System Simulation Summary for Control Strategy 5b .148

7.10. Hybrid System Simulation Summary for Control Strategy 5c .149

7.11.Cost Analysis Summary for each Control Strategy for Houston, TX153

7.12. Cost Analysis Summary for each Control Strategy for Tulsa, OK.154

8.1. Thermal Conductivity Estimation for the Cored Borehole and the Simulated Borehole

Configuration179

8.2. Thermal Conductivity Estimations and Associated Errors from the Converged Value for the

Okla. State University Site A#1, #1 and Chickasha Test Boreholes186

8.3. Change in Ground Thermal Conductivity BTU/hr-ft-°F (W/m-K) Estimations Based on Changes

in Power Input and Temperature Measurements .196

8.4. Summary of Primary Sources of Uncertainties in the Estimation of Thermal Conductivity of

the Ground .200