Dynamic modelling and predictive control in solid oxide fuel cells [electronic resource] : first principle and data-based approaches / Biao Huang, Yutong Qi, AKM Monjur Murshed.

By: Contributor(s): Material type: TextTextPublication details: Hoboken : John Wiley & Sons Inc., 2013.Description: xx, 323 p. : illSubject(s): Genre/Form: DDC classification:
  • 621.31/2429 23
LOC classification:
  • TK2931 .H82 2013eb
Online resources:
Contents:
pt. I. Fundamentals -- pt. II. Tubular SOFC -- pt. III. Planar SOFC.
Summary: "A timely treatment of the modeling and advanced control of the most promising fuel cell technology - SOFC (solid oxide fuel cells) - from cell to system levelDynamic Modeling and Predictive Control in Solid Oxide Fuel Cells: Delivers comprehensive coverage of SOFC dynamic models and modeling approach from first principles, bringing together many aspects of SOFC technology in one book for the first time Provides parameters for all models developed for easy reference and reproducing of the results Discusses lumped model and distributed model from cell level to system level Applications to the state-of-the-art unscented Kalman filter, model predictive control, and monitoring techniques to SOFC systems Uses NMPC, which is well understood by both industry and academia Essential reading for Graduate students and researchers in the area of fuel cells, process systems engineering, control systems engineering, process control and electrochemical engineering"-- Provided by publisher.
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Includes bibliographical references and index.

pt. I. Fundamentals -- pt. II. Tubular SOFC -- pt. III. Planar SOFC.

"A timely treatment of the modeling and advanced control of the most promising fuel cell technology - SOFC (solid oxide fuel cells) - from cell to system levelDynamic Modeling and Predictive Control in Solid Oxide Fuel Cells: Delivers comprehensive coverage of SOFC dynamic models and modeling approach from first principles, bringing together many aspects of SOFC technology in one book for the first time Provides parameters for all models developed for easy reference and reproducing of the results Discusses lumped model and distributed model from cell level to system level Applications to the state-of-the-art unscented Kalman filter, model predictive control, and monitoring techniques to SOFC systems Uses NMPC, which is well understood by both industry and academia Essential reading for Graduate students and researchers in the area of fuel cells, process systems engineering, control systems engineering, process control and electrochemical engineering"-- Provided by publisher.

Electronic reproduction. Palo Alto, Calif. : ebrary, 2013. Available via World Wide Web. Access may be limited to ebrary affiliated libraries.

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