Liu / Bansal Thermal Power Plants

Modeling, Control, and Efficiency Improvement
Erscheinungsjahr 2016
ISBN: 978-1-4987-0823-4
Verlag: CRC Press
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 322 Seiten

Thermal Power Plants: Modeling, Control, and Efficiency Improvement explains how to solve highly complex industry problems regarding identification, control, and optimization through integrating conventional technologies, such as modern control technology, computational intelligence-based multiobjective identification and optimization, distributed computing, and cloud computing with computational fluid dynamics (CFD) technology. Introducing innovative methods utilized in industrial applications, explored in scientific research, and taught at leading academic universities, this book:

- Discusses thermal power plant processes and process modeling, energy conservation, performance audits, efficiency improvement modeling, and efficiency optimization supported by high-performance computing integrated with cloud computing

- Shows how to simulate fossil fuel power plant real-time processes, including boiler, turbine, and generator systems

- Provides downloadable source codes for use in CORBA C++, MATLAB®, Simulink®, VisSim, Comsol, ANSYS, and ANSYS Fluent modeling software

Although the projects in the text focus on industry automation in electrical power engineering, the methods can be applied in other industries, such as concrete and steel production for real-time process identification, control, and optimization.

Autoren/Hrsg.

Liu, Xinggrang

Liu, Xingrang

Bansal, Ramesh

Fachgebiete

• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
• Naturwissenschaften Physik Mechanik Energie
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Maschinenbau

Inhaltsverzeichnis

THERMAL POWER PLANT CONTROL PROCESS PERFORMANCE AND ENERGY AUDITS

Introduction to Improving Thermal Power Plant Efficiency
Power Plant Introduction
Specific Problems of Fossil Fuel Boiler Combustion
Significance of the Research to Electrical Power Industry
Fouling and Slagging Distribution-Identification Model
Fireball Control and Optimization Model
Slagging Distribution Identification and Combustion Optimization
An Innovative Method to Optimize Fossil Fuel Power Plant Combustion and Limiting or Even Removing the Tendency of Slagging
Creating a Novel Method to Identify the Distribution of Slagging inside of a Coal-Fired Boiler
Conclusions

Overview of Energy Conservation of Auxiliary Power in Power Plant Processes
Rajashekar P. Mandi and Udaykumar R. Yaragatti
Introduction
Energy Conservation
Auxiliary Power
Conclusions

Energy Conservation of In-House Auxiliary Power Equipment in Power Plant Processes
Rajashekar P. Mandi and Udaykumar R. Yaragatti
In-House HT Equipment
In-House LT AP
Conclusions

Energy Conservation of Common Auxiliary Power Equipment in Power Plant Processes
Rajashekar P. Mandi and Udaykumar R. Yaragatti
Introduction
Coal-Handling Plant
Ash-Handling Plant
Circulating Water Plant
Water Treatment Plant
Conclusions

THERMAL POWER PLANT CONTROL PROCESS MODELING

Physical Laws Applied to Fossil Fuel Power Plant Process
Introduction
Heat Conduction, Convection, and Radiation
Heat Balance
Mass Balance
Turbulent Combustion Gas Flow and Steam Flow
Conclusion

Modeling and Simulation for Subsystems of a Fossil Fuel Power Plant
Introduction
Development of a Boiler System Model
Development of Boiler System Model Using Simulink
Development of Steam-Temperature Control Using VisSim
Simulation of Heat-Transfer Processes Using Comsol 4.3
Modeling the Combustion Processes in a Coal-Fired Power Plant Boiler Using ANSYS 14.5 and ANSYS Fluent 14.5
How to Integrate the Boiler, Turbine, and Generator System
Developing Models to Integrate the Boiler, Turbine, and Generator
Conclusion

THERMAL POWER PLANT EFFICIENCY IMPROVEMENT MODELING

Conventional Neural Network–Based Technologies for Improving Fossil Fuel Power Plant Efficiency
Introduction
NN-Based Power Plant Optimization Technology
Online-Learning Applications
Finite Element Method–Supported Computational Fluid Dynamics (CFD) Technology Applications in Power Plant Boiler Simulation
Optimization Technologies Applied in the Power-Generation Industry
Differential Equation–Based Heat-Transfer Process Simulation for a Coal-Fired Power Plant
Existing Problems for Coal-Fired Power Plants
Conclusion

Online Learning Integrated with CFD to Control Temperature in Combustion
Introduction
Boiler-Combustion Process
Integrating Online-Learning Technology with CFD-Based Real-Time Simulation to Control the Combustion Process
Results and Discussion
Conclusion

Online Learning Integrated with CFD to Identify Slagging and Fouling Distribution
Introduction
Multiobjective Online Learning
Modeling of a Power Plant Boiler-Combustion Process Based on CFD
Analyzing the Results of the Boiler-Combustion Process Model
Integrate Online Learning with CFD for Identification of Slagging and Fouling Distribution
Conclusion

Integrating Multiobjective Optimization with Computational Fluid Dynamics to Optimize the Boiler-Combustion Process
Introduction
Principle Mechanism of Combustion Process and Slagging inside a Coal-Fired Power Plant Boiler
Modeling of Coal-Fired Power Plant Boiler-Combustion Process
NSGA II-Based Multiobjective Optimization Model
Integrating the NSGA II Multiobjective-Optimization Method with CFD to Optimize the Coal-Fired Power Plant Boiler-Combustion Process
Conclusion

THERMAL POWER PLANT OPTIMIZATION SOLUTION SUPPORTED BY HIGH-PERFORMANCE COMPUTING AND CLOUD COMPUTING

Internet-Supported Coal-Fired Power Plant Boiler Combustion Optimization Platform
Introduction
Building a Coal-Fired Power Plant Combustion Optimization System Supported by Online Learning Integrated with CFD in a Local Area Network
Using High-Performance Computer Technology to Build a Coal-Fired Power Plant Combustion Optimization System Supported by Online Learning Integrated with CFD
Using Cloud-Computing Technology to Build a Coal-Fired Power Plant Combustion Optimization System Supported by Online Learning Integrated with CFD
Integrating Online Learning Technology with CFD to Build a Coal-Fired Power Plant Boiler Combustion Optimization Platform Supported by High-Performance, Cloud-Computing, CORBA, and Web Services Technologies
Conclusion
Scope for Future Works

References

Über Autor(innen)

Xingrang Liu completed his PhD with a focus on fossil fuel power plant boiler combustion process optimization based on real-time simulation at the University of Queensland (UQ), Brisbane, Australia. He completed his master’s study of computer software and theory at Xi’an Jiaotong University, China, and his undergraduate study of computer science and engineering at the Northeast China Institute of Electric Power Engineering, Jilin. He worked in the Chinese power generation industry as a computer engineer for 10 years and as a senior software engineer for 5 years. He also worked as a system developer in the Cooperative Research Centre for Integrated Engineering Asset Management at Queensland University of Technology, Brisbane, Australia, and as an assistant researcher and research software engineer at UQ. Currently, he is a senior software researcher at the University of Southern Queensland, Toowoomba, Australia.

Ramesh Bansal has more than 25 years of teaching, research, and industrial experience. Currently, he is a professor and group head (power) of the Department of Electrical, Electronic, and Computer Engineering at the University of Pretoria, South Africa. In previous postings, he was with the University of Queensland, Brisbane, Australia; University of the South Pacific, Suva, Fiji; Birla Institute of Technology and Science, Pilani, India; and All India Radio. During his sabbatical leave, he worked with Powerlink (Queensland’s high-voltage transmission company). Bansal is both widely published and an editor of several reputed journals including IET Renewable Power Generation, Electric Power Components and Systems, and IEEE Access. He is a fellow and chartered engineer at IET-UK, a fellow at Engineers Australia, a fellow at the Institution of Engineers (India), and a senior member at IEEE.