Advanced Modeling, Analysis and Optimization of Thermal and Integrated Energy Systems presents groundbreaking research on the innovative "heat current method" for precise and efficient modelling of thermodynamic systems. The book offers a comprehensive exploration of integrated power-thermal systems, emphasizing holistic optimization strategies crucial for sustainable energy transitions. Authored by experts in the field, this book is a valuable resource for researchers and professionals seeking advanced methodologies in thermal engineering and energy system optimization. The book begins with an introduction that outlines the challenges faced by thermodynamic systems in the renewable energy transition. It progresses to explore the fundamentals of modelling and optimizing thermodynamic and integrated thermal-power systems, introducing the novel heat current method and its application. The subsequent chapters delve into the heat current method for thermodynamic system modelling, efficient simulation and optimization of thermodynamic systems, holistic modelling and analysis of integrated power-thermal systems, and coordinating flexibility and efficiency for renewable energy accommodation.
Advanced Modeling, Analysis and Optimization of Thermal and Integrated Energy Systems offers valuable insights and practical solutions for a diverse audience of researchers, engineers, and energy professionals. Researchers and students working in thermal engineering, and sustainable energy will benefit from the novel methodologies and holistic approaches presented in this book. Engineers and professionals working in the energy sector, particularly those involved in system optimization and renewable energy integration, will find this book essential for advancing knowledge and best practices.
1. Chapter 1. Introduction - p. 1 2. Chapter 2. Fundamentals of modeling and analysis of thermodynamic and integrated power-thermal systems - p. 7 3. Chapter 3. Heat current method for thermodynamic system modeling - p. 43 4. 3.1 Heat current modeling of components of thermodynamic systems - p. 43 5. 3.2 Standardized heat current modeling strategy for thermodynamic systems - p. 47 6. 3.3 Case studies of heat current method-based system modeling - p. 57 7. 3.4 Automatic generation algorithm for heat current model construction - p. 65 8. 3.5 Transform matrix-based thermal system modeling method - p. 80 9. 3.5.1 Transfer matrix-based component models - p. 80 10. 3.5.2 Transfer matrix-based HX network modeling - p. 86 11. 3.5.3 Transfer matrix-based thermodynamic system modeling - p. 97 12. 3.5.3.1 Case 1: Brayton cycle - p. 98 13. 3.5.3.2 Case 2: DLORC - p. 105 14. 3.5.3.3 Case 3: sCO2 recompression Brayton power generation system - p. 112 15. 3.5.4 Comparison of the transfer matrix-based method with existing methods - p. 113 16. 3.6 Summary - p. 117 17. 3.7 Supplementary materials - p. 119 18. Notations used in this chapter - p. 128 19. Subscripts - p. 129 20. Abbreviations - p. 129 21. Chapter 4. Heat current method-based efficient analysis and optimization of thermodynamic systems - p. 133 22. 4.1 Introduction - p. 133 23. 4.2 System simulation algorithms in the heat current modeling framework - p. 133 24. 4.2.1 The hierarchical and categorized (H&C) algorithm - p. 133 25. 4.2.1.1 System constraint decomposition with respect to their linearities - p. 133 26. 4.2.1.2 Algorithm development and description - p. 133 27. 4.2.1.3 Performance analysis of the H&C algorithm - p. 133 28. 4.2.1.3.2 Modeling of the T-HRPG system - p. 133 29. 4.2.1.3.3 System simulation procedure by H&C algorithm - p. 133 30. 4.2.1.3.4 Validation of the H&C algorithm and comparison with SEM - p. 133 31. 4.2.1.3.5 Comparison of the H&C algorithm and SMM - p. 133 32. 4.2.1.4 Summary for H&C algorithm - p. 133 33. 4.2.2 The categorized and decomposed (C&D) algorithm - p. 133 34. 4.3 System performance optimization based on the heat current method - p. 133 35. 4.4 Case studies and applications - p. 133 36. 4.4.1 Performance analysis and optimization of an HRPG system - p. 133 37. 4.4.1.1 Introduction of the HRPG system - p. 133 38. 4.4.1.2 Physical model of the HRPG system - p. 133 39. 4.4.1.3 System simulation based on H&C algorithm - p. 133 40. 4.4.1.4 Results and discussions - p. 133 41. 4.4.1.5 Case summary - p. 133 42. 4.4.2 Online operation optimization platform of thermodynamic systems - p. 133 43. 4.4.3 Real-time coordination of power and heat generation of multi-CHP units with flexibility retrofits - p. 133 44. 4.5 Summary - p. 133 45. 4.6 Supplementary information - p. 133 46. 4.6.1 Supplementary information for Section 4.2.1 - p. 133 47. 4.6.2 Supplementary information for Section 4.2.2 - p. 133 48. 4.6.3 Supplementary information for Section 4.3.2 - p. 133 49. 4.6.4 Supplementary information for Section 4.4.1 - p. 133 50. 4.6.5 Supplementary information for Section 4.4.2 - p. 133 51. 4.6.5.1 Integrated mathematical model of the cogeneration system - p. 133 52. 4.6.5.2 Simulation procedure of the cogeneration system using the H&C algorithm - p. 133 53. 4.6.5.3 Artificial neural network model in the operation optimization module - p. 133 54. 4.6.6 Supplementary information for Section 4.4.3 - p. 133 55. Notations used in this chapter - p. 133 56. Chapter 5. Isomorphic modeling and analysis of integrated power and thermal systems - p. 365 57. 5.1 Physical model of an urban IPTS - p. 365 58. 5.2 Heat current model of the heat transport process in district heating system - p. 367 59. 5.3 Multienergy flow model of integrated power and thermal system and hybrid simulation - p. 374 60. 5.4 Simulation and discussion of the urban integrated heat and power system - p. 380 61. 5.5 Holistic modeling-based heat storage analysis of heating networks and buildings in IPTSs - p. 388 62. 5.6 Summary - p. 407 63. 5.7 Supplementary materials - p. 408 64. Notations used in this chapter - p. 426 65. Chapter 6. Coordinating flexibility and efficiency for renewable energy accommodation in integrated power and thermal systems - p. 433 66. 6.1 Introduction - p. 433 67. 6.2 Decomposed scheduling method of IPTSs for energy efficiency and flexibility coordination - p. 440 68. 6.2.1 The cogeneration system model considering heat transfer and energy conversion constraints - p. 440 69. 6.2.2 Decomposed scheduling method of the IPTS - p. 449 70. 6.2.3 Decomposed scheduling system of IPTSs - p. 456 71. 6.2.4 Case study - p. 458 72. 6.2.5 Detailed modeling process of the heat-supply system - p. 468 73. 6.3 Spatiotemporal coordination of energy efficiency and flexibility of IPTSs - p. 473 74. 6.4 Summary - p. 501 75. Notations used in this chapter - p. 502 76. Chapter 7. Summary and future trends - p. 509 77. Index - p. 513
Advanced Modeling, Analysis and Optimization of Thermal and Integrated Energy Systems presents groundbreaking research on the innovative "heat current method" for precise and efficient modelling of thermodynamic systems. The book offers a comprehensive exploration of integrated power-thermal systems, emphasizing holistic optimization strategies crucial for sustainable energy transitions. Authored by experts in the field, this book is a valuable resource for researchers and professionals seeking advanced methodologies in thermal engineering and energy system optimization. The book begins with an introduction that outlines the challenges faced by thermodynamic systems in the renewable energy transition. It progresses to explore the fundamentals of modelling and optimizing thermodynamic and integrated thermal-power systems, introducing the novel heat current method and its application. The subsequent chapters delve into the heat current method for thermodynamic system modelling, efficient simulation and optimization of thermodynamic systems, holistic modelling and analysis of integrated power-thermal systems, and coordinating flexibility and efficiency for renewable energy accommodation.
Advanced Modeling, Analysis and Optimization of Thermal and Integrated Energy Systems offers valuable insights and practical solutions for a diverse audience of researchers, engineers, and energy professionals. Researchers and students working in thermal engineering, and sustainable energy will benefit from the novel methodologies and holistic approaches presented in this book. Engineers and professionals working in the energy sector, particularly those involved in system optimization and renewable energy integration, will find this book essential for advancing knowledge and best practices.
1. Chapter 1. Introduction - p. 1 2. Chapter 2. Fundamentals of modeling and analysis of thermodynamic and integrated power-thermal systems - p. 7 3. Chapter 3. Heat current method for thermodynamic system modeling - p. 43 4. 3.1 Heat current modeling of components of thermodynamic systems - p. 43 5. 3.2 Standardized heat current modeling strategy for thermodynamic systems - p. 47 6. 3.3 Case studies of heat current method-based system modeling - p. 57 7. 3.4 Automatic generation algorithm for heat current model construction - p. 65 8. 3.5 Transform matrix-based thermal system modeling method - p. 80 9. 3.5.1 Transfer matrix-based component models - p. 80 10. 3.5.2 Transfer matrix-based HX network modeling - p. 86 11. 3.5.3 Transfer matrix-based thermodynamic system modeling - p. 97 12. 3.5.3.1 Case 1: Brayton cycle - p. 98 13. 3.5.3.2 Case 2: DLORC - p. 105 14. 3.5.3.3 Case 3: sCO2 recompression Brayton power generation system - p. 112 15. 3.5.4 Comparison of the transfer matrix-based method with existing methods - p. 113 16. 3.6 Summary - p. 117 17. 3.7 Supplementary materials - p. 119 18. Notations used in this chapter - p. 128 19. Subscripts - p. 129 20. Abbreviations - p. 129 21. Chapter 4. Heat current method-based efficient analysis and optimization of thermodynamic systems - p. 133 22. 4.1 Introduction - p. 133 23. 4.2 System simulation algorithms in the heat current modeling framework - p. 133 24. 4.2.1 The hierarchical and categorized (H&C) algorithm - p. 133 25. 4.2.1.1 System constraint decomposition with respect to their linearities - p. 133 26. 4.2.1.2 Algorithm development and description - p. 133 27. 4.2.1.3 Performance analysis of the H&C algorithm - p. 133 28. 4.2.1.3.2 Modeling of the T-HRPG system - p. 133 29. 4.2.1.3.3 System simulation procedure by H&C algorithm - p. 133 30. 4.2.1.3.4 Validation of the H&C algorithm and comparison with SEM - p. 133 31. 4.2.1.3.5 Comparison of the H&C algorithm and SMM - p. 133 32. 4.2.1.4 Summary for H&C algorithm - p. 133 33. 4.2.2 The categorized and decomposed (C&D) algorithm - p. 133 34. 4.3 System performance optimization based on the heat current method - p. 133 35. 4.4 Case studies and applications - p. 133 36. 4.4.1 Performance analysis and optimization of an HRPG system - p. 133 37. 4.4.1.1 Introduction of the HRPG system - p. 133 38. 4.4.1.2 Physical model of the HRPG system - p. 133 39. 4.4.1.3 System simulation based on H&C algorithm - p. 133 40. 4.4.1.4 Results and discussions - p. 133 41. 4.4.1.5 Case summary - p. 133 42. 4.4.2 Online operation optimization platform of thermodynamic systems - p. 133 43. 4.4.3 Real-time coordination of power and heat generation of multi-CHP units with flexibility retrofits - p. 133 44. 4.5 Summary - p. 133 45. 4.6 Supplementary information - p. 133 46. 4.6.1 Supplementary information for Section 4.2.1 - p. 133 47. 4.6.2 Supplementary information for Section 4.2.2 - p. 133 48. 4.6.3 Supplementary information for Section 4.3.2 - p. 133 49. 4.6.4 Supplementary information for Section 4.4.1 - p. 133 50. 4.6.5 Supplementary information for Section 4.4.2 - p. 133 51. 4.6.5.1 Integrated mathematical model of the cogeneration system - p. 133 52. 4.6.5.2 Simulation procedure of the cogeneration system using the H&C algorithm - p. 133 53. 4.6.5.3 Artificial neural network model in the operation optimization module - p. 133 54. 4.6.6 Supplementary information for Section 4.4.3 - p. 133 55. Notations used in this chapter - p. 133 56. Chapter 5. Isomorphic modeling and analysis of integrated power and thermal systems - p. 365 57. 5.1 Physical model of an urban IPTS - p. 365 58. 5.2 Heat current model of the heat transport process in district heating system - p. 367 59. 5.3 Multienergy flow model of integrated power and thermal system and hybrid simulation - p. 374 60. 5.4 Simulation and discussion of the urban integrated heat and power system - p. 380 61. 5.5 Holistic modeling-based heat storage analysis of heating networks and buildings in IPTSs - p. 388 62. 5.6 Summary - p. 407 63. 5.7 Supplementary materials - p. 408 64. Notations used in this chapter - p. 426 65. Chapter 6. Coordinating flexibility and efficiency for renewable energy accommodation in integrated power and thermal systems - p. 433 66. 6.1 Introduction - p. 433 67. 6.2 Decomposed scheduling method of IPTSs for energy efficiency and flexibility coordination - p. 440 68. 6.2.1 The cogeneration system model considering heat transfer and energy conversion constraints - p. 440 69. 6.2.2 Decomposed scheduling method of the IPTS - p. 449 70. 6.2.3 Decomposed scheduling system of IPTSs - p. 456 71. 6.2.4 Case study - p. 458 72. 6.2.5 Detailed modeling process of the heat-supply system - p. 468 73. 6.3 Spatiotemporal coordination of energy efficiency and flexibility of IPTSs - p. 473 74. 6.4 Summary - p. 501 75. Notations used in this chapter - p. 502 76. Chapter 7. Summary and future trends - p. 509 77. Index - p. 513
