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Dynamic Modelling and Predictive Control in Solid Oxide Fuel Cells - First Principle and Data-based Approaches (Hardcover)
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Dynamic Modelling and Predictive Control in Solid Oxide Fuel Cells - First Principle and Data-based Approaches (Hardcover)
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The high temperature solid oxide fuel cell (SOFC) is identified as
one of the leading fuel cell technology contenders to capture the
energy market in years to come. However, in order to operate as an
efficient energy generating system, the SOFC requires an
appropriate control system which in turn requires a detailed
modelling of process dynamics. Introducting state-of-the-art
dynamic modelling, estimation, and control of SOFC systems, this
book presents original modelling methods and brand new results as
developed by the authors. With comprehensive coverage and bringing
together many aspects of SOFC technology, it considers dynamic
modelling through first-principles and data-based approaches, and
considers all aspects of control, including modelling, system
identification, state estimation, conventional and advanced
control. Key features: * Discusses both planar and tubular SOFC,
and detailed and simplified dynamic modelling for SOFC *
Systematically describes single model and distributed models from
cell level to system level * Provides parameters for all models
developed for easy reference and reproducing of the results * All
theories are illustrated through vivid fuel cell application
examples, such as state-of-the-art unscented Kalman filter, model
predictive control, and system identification techniques to SOFC
systems The tutorial approach makes it perfect for learning the
fundamentals of chemical engineering, system identification, state
estimation and process control. It is suitable for graduate
students in chemical, mechanical, power, and electrical
engineering, especially those in process control, process systems
engineering, control systems, or fuel cells. It will also aid
researchers who need a reminder of the basics as well as an
overview of current techniques in the dynamic modelling and control
of SOFC.
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