Xingrang Liu, Ramesh Bansal

Thermal Power Plants (eBook, PDF)

Modeling, Control, and Efficiency Improvement

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 322
• Erscheinungstermin: 19. August 2016
• Englisch
• ISBN-13: 9781498708234
• Artikelnr.: 45534619

Autorenporträt

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.

Inhaltsangabe

Thermal Power Plant Control Process Performance and Energy Audits.
Introduction to Improving Thermal Power Plant Efficiency. Overview of
Energy Conservation of Auxiliary Power in Power Plant Processes. Energy
Conservation of In-House Auxiliary Power Equipment in Power Plant
Processes. Energy Conservation of Common Auxiliary Power Equipment in Power
Plant Processes. Thermal Power Plant Control Process Modeling. Physical
Laws Applied to Fossil Fuel Power Plant Process. Modeling and Simulation
for Subsystems of a Fossil Fuel Power Plant. Thermal Power Plant Efficiency
Improvement Modeling. Conventional Neural Network-Based Technologies for
Improving Fossil Fuel Power Plant Efficiency. Online Learning Integrated
with CFD to Control Temperature in Combustion. Online Learning Integrated
with CFD to Identify Slagging and Fouling Distribution. Integrating
Multiobjective Optimization with Computational Fluid Dynamics to Optimize
the Boiler-Combustion Process. Thermal Power Plant Optimization Solution
Supported by High-Performance Computing and Cloud Computing.
Internet-Supported Coal-Fired Power Plant Boiler Combustion Optimization
Platform. References.