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Full Description
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.
Contents
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.
