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 (R),
Simulink (R), 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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