Advanced Thermodynamic Analyses of Energy Intensive Building Mechanical Systems

Advanced Thermodynamic Analyses of Energy Intensive Building Mechanical Systems

Rochester Institute of Technology RIT Scholar Works Theses 2006 Advanced Thermodynamic Analyses of Energy Intensive Building Mechanical Systems Erin N. George Follow this and additional works at: https://scholarworks.rit.edu/theses Recommended Citation George, Erin N., "Advanced Thermodynamic Analyses of Energy Intensive Building Mechanical Systems" (2006). Thesis. Rochester Institute of Technology. Accessed from This Thesis is brought to you for free and open access by RIT Scholar Works. It has been accepted for inclusion in Theses by an authorized administrator of RIT Scholar Works. For more information, please contact [email protected]. ADVANCED THERMODYNAMIC ANALYSES OF ENERGY INTENSIVE BUILDING MECHANICAL SYSTEMS By ERIN N. GEORGE A Thesis Submitted in Partial Fulfillment of the Requirement for Master of Science in Mechanical Engineering Approved by: Department ofMechanical Engineering Committee Dr. Margaret Bailey - Thesis Advisor Dr. Robert Stevens Dr. Frank Sciremammano Dr. Edward Hensel- Dept. Representative Rochester Institute of Technology Rochester, New York 14623 March 2006 PERMISSION TO REPRODUCE THE THESIS Title of Thesis ADVANCED THERMODYNAMIC ANALYSES OF ENERGY INTENSIVE BUILDING MECHANICAL SYSTEMS I, ERIN N. GEORGE, hereby grant permission to the Wallace Memorial Library of Rochester Institute of Technology to reproduce my thesis in the whole or part. Any reproduction will not be for commercial use or profit. March 2006 ABSTRACT A review ofpast research reveals that while exergetic analysis has been performed on various building mechanical systems, there has not been extensive efforts in the areas of air distribution systems or cooling plants. Motivations for this new work include demonstrating the merits of exergetic analysis in association with retrocommissioning (RCX) an existing building air handling unit (AHU), as well as conducting an advanced analysis on an existing chiller. The following research demonstrates the benefits of including a second law analysis in order to improve equipment operation based on lowered energy consumption and improved operation, and as a means for system health monitoring. Particularly, exergetic analysis is not often performed in the context of RCX, therefore this research will provide insight to those considering incorporating exergetic analysis in their RCX assessments. A previously developed RCX test for assessing an AHU on a college campus, as well as data collected from the testing is utilized for an advanced thermodynamic analysis. The operating data is analyzed using the first and second laws of thermodynamics and subsequent recommendations are made for retrofit design solutions to improve the system performance and occupant comfort. The second law analysis provides beneficial information for determining retrofit solutions with minimal additional data collection and calculations. The thermodynamic methodology is then extended to a building's cooling plant which utilizes a vapor compression refrigeration cycle (VCRC) chiller. Existing chiller operational data is processed and extracted for use in this analysis. As with the air handling unit analysis, the second law analysis of the VCRC chiller provides insight on irreversibility in locations that would not necessarily be determined from a first law analysis. The VCRC chiller data, originally collected several years ago for the design of an automated fault detection and diagnosis methodology, is utilized. Chiller plant data representing normal operation, as well as faulty operation is used to develop a chiller model for assessing component performance and health monitoring. Based on RCX activities and thermodynamic analyses, conclusions are drawn on the utility of using exergetic analysis in energy intensive building mechanical systems in order to improve system operation. Unique models are developed using the software program Engineering Equation Solver (EES). The models developed are shown to properly predict performance of the systems as well as serve as a means of system health monitoring. The results show the utility of the model and illustrate system performance. IV ACKNOWLEDGEMENTS I would like to thank my advisor, Dr. Margaret Bailey, for her continued support for this research. Her excitement and enthusiasm were appreciated, and I not only consider her an advisor but also a friend. I would like to thank my husband, Matt, for being patient and encouraging, and my Mother, Sue, for inspiring and encouraging me to pursue my Masters degree. I would also like to thank my family, for their support in helping me achieve my dreams. TABLE OF CONTENTS ABSTRACT Ill ACKNOWLEDGEMENTS V TABLE OF CONTENTS VI LIST OF TABLES IX LIST OF FIGURES XI NOMENCLATURE XII 1 INTRODUCTION AND LITERATURE REVIEW 1 1.1 Motivation 2 1.2 Statement of Work 4 1.3 Literature Review 5 1.3.1 Exergy 5 1.3.1.1 Additional benefit ofsecond law analysis 6 1.3.1.2 Exergy Optimization 8 1.3.1.3 Exergy and building systems 10 1.3.1.4 Dead State 15 1.3.1.5 Fault Detection and Diagnosis 17 1.3.2 Retrocommissioning 19 2 BACKGROUND 23 2.1 Thermodynamics 23 2.2 EES 27 2.3 Devices 30 2.3.1 Air Handling Unit Coils 31 2.3.1.1 Cooling Coil 31 2.3.1.2 Heating Coil 32 2.3.2 Fans 33 2.3.3 Economizer 33 2.3.4 Filters 34 2.3.5 Electrical Components and Controls 35 2.3.6 Vapor Compression Refrigeration Cycle Chillers 36 2.3.6.1 Condenser 38 2.3.6.2 Expansion Valve 39 2.3.6.3 Evaporator 39 2.3.6.4 Compressor 39 2.3.7 Summary 40 3 EXPERIMENTAL RESEARCH 41 3.1 Testing Procedure for Air Handling Unit 42 3.1.1 Sensor Verification 43 3.1.2 System Control Response Test 45 3.1.3 Pre-functional Tests 45 VI 3.1.3.1 Fan Pre-functional Tests 45 3.1.3.2 Coil Pre-functional Test 46 3.1.3.3 Economizer Pre-functional Test 48 3.1.4 Functional Tests 49 3.1.4.1 Fan Functional Test 50 3.1.4.2 Coil Functional Test 50 3.1.4.3 Economizer Functional Test 51 3.2 Air Handling Unit Experimental Data Collection 52 3.2.1 Fan Data Collection 53 3.2.2 Coil Data Collection 55 3.2.3 Economizer Data Collection 57 3.3 VCRC Chiller Experimental Data Collection 59 3.3.1 Data Collection Process 62 3.3.1.1 Normal Data Collection 62 3.3.1.2 Refrigerant Under- and Over-Charge Data Collection 62 3.3.1.3 Oil Under-Charge Data Collection 63 3.3.2 Available Chiller Data 63 3.4 VCRC Chiller Data 64 3.4.1 Normal Data 64 3.4.2 Refrigerant Under- and Over-Charge data 66 3.4.3 Oil Under-Charge Data 68 AIR HANDLING UNIT MODEL 70 4.1 Air Handling Unit analysis 70 4.1.1 Supply and Return Fan analysis 72 4.1.1.1 Energy analysis ofthe Fans 73 4.1.1.2 Exergy analysis ofFans 74 4.1.2 Coil analysis. 77 4.1.2.1 Coil Effectiveness 78 4.1.2.2 Exergy analysis ofthe Coil 80 4.1.3 Economizer analysis 83 4.1.4 Dead State Verification 85 4.2 Conclusions 87 VCRC CHILLER MODEL 94 5 . 1 Vapor Compression Refrigeration Cycle Chiller Analysis 94 5.1.1 Vapor Compression Refrigeration Cycle Chiller Effectiveness Analysis 97 5.1.2 VCRC Chiller Exergy analysis 102 5.2 Fault Versus Normal Operation Analysis 105 - and 5 .3 Vapor Compression Refrigeration Cycle Chiller Results Normal Fault Operation 106 5.4 Chiller Conclusions 118 CONCLUSIONS 121 6.1 Summary 121 6.2 General Conclusions 122 6.3 AHU Model Conclusions 123 vn 6.4 VCRC Chiller Model Conclusions 126 6.5 Recommendations for Future Work 127 REFERENCES 129 APPENDIX A 134 APPENDIX B 147 APPENDIX C 160 C.l EES Code for AHU Fans 160 C.2 EES Code for AHU Fans -Reference State Variance Study 166 C.3 EES Code for AHU Coil 170 C.4 EES Code for AHU Economizer 176 C.5 EES CODE FOR VCRC CHILLER MODEL 179 APPENDLX D RETROCOMMISSIONING TEST PLANS FOR AIR HANDLING UNIT 182 vm LIST OF TABLES Table 3.1 : Building 70 AHU Functional test data for supply and return fans (4/8/05) 54 Table 3.2: Variation in duct static pressure set points 54 Table 3.3: Building 70 AHU Coil performance test data collected (4/15/05) .... 56 Table 3.4: Building 70 AHU Collected data for economizer tests (4/15/05) 58 'Normal' Table 3.5: chiller LVIPC data (10/28/96) 65 Table 3.6: Normal chiller CMS data (10/28/96) 65 Table 3.7: Final values for normal VCRC analysis 66 Table 3.8: Final values for 45% refrigerant charge VCRC analysis 67 Table 3.9: Final values for 50% refrigerant charge VCRC analysis 67 Table 3.10: Final values for 55% refrigerant charge VCRC analysis 67 Table 3.11: Final values for 105% refrigerant charge VCRC analysis 68 Table 3.12: Final values for 105% refrigerant charge VCRC analysis 68 Table 3.13: Final values for 50% oil charge VCRC analysis 69 Table 3.14: Final values for 85% oil charge VCRC analysis 69 Table 4. 1 : Supply and return fan first law efficiencies for Building 70 AHU... 74 Table 4.2: Reference environment data for exergy analysis 75 Table 4.3: Exergy results for AHU supply and return fans 76 Table 4.4: Effectiveness results for AHU heating coil 79 Table 4.5: Reference environment for coil analysis 80 Table 4.6: Exergy results for AHU coil analysis 82 Table 4.7: Results for AHU economizer analysis 84 Table 4.8: Variance in dead state for justification of selected dead state 87 Table 4.9: Summary of dead state variation values 87 Table 4.10: EES results from first and second law analysis on fans, coil, and ECONOMIZER 88 Table 5.1: VCRC ChillerNormal case results for enthalpy and entropy 97 Table 5.2: VCRC ChillerNormal case results for condenser and evaporator effectiveness 101 Table 5.3: Reference environment for VCRC Chiller analysis 102 Table 5.4: VCRC Chiller Normal case results for exergy destroyed and exergetic EFFICIENCY 105 Table 5.5: Summary of complete VCRC Chiller normal

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