Thermal Power Plants: Modeling, Control, and Efficiency Improvement (e-Book) book cover

Thermal Power Plants

Modeling, Control, and Efficiency Improvement

By Xingrang Liu, Ramesh Bansal

© 2016 – CRC Press

304 pages | 49 Color Illus. | 154 B/W Illus.

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Hardback: 9781498708227
pub: 2016-07-01
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About the Book

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.

Reviews

"… recommended reading for a wide audience, from engineering students to working engineers and scientists wanting a refresher and advanced innovative ideas."

—Dr. Adel El Shahat, Georgia Southern University, Statesboro, USA

"… a comprehensive and up-to-date account of modern thermal power plants, with an emphasis on efficiency improvement, critical for reducing environmental impact."

—David Infield, University of Strathclyde, Glasgow, Scotland

Table of Contents

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

About the Authors

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.

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