Dynamic Modeling, Simulation and Control of Energy Generation

Dynamic Modeling, Simulation and Control of Energy Generation
Author :
Publisher : Springer Science & Business Media
Total Pages : 384
Release :
ISBN-10 : 9781447154006
ISBN-13 : 1447154002
Rating : 4/5 (06 Downloads)

Book Synopsis Dynamic Modeling, Simulation and Control of Energy Generation by : Ranjan Vepa

Download or read book Dynamic Modeling, Simulation and Control of Energy Generation written by Ranjan Vepa and published by Springer Science & Business Media. This book was released on 2013-09-11 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the core issues involved in the dynamic modeling, simulation and control of a selection of energy systems such as gas turbines, wind turbines, fuel cells and batteries. The principles of modeling and control could be applied to other non-convention methods of energy generation such as solar energy and wave energy. A central feature of Dynamic Modeling, Simulation and Control of Energy Generation is that it brings together diverse topics in thermodynamics, fluid mechanics, heat transfer, electro-chemistry, electrical networks and electrical machines and focuses on their applications in the field of energy generation, its control and regulation. This book will help the reader understand the methods of modelling energy systems for controller design application as well as gain a basic understanding of the processes involved in the design of control systems and regulators. It will also be a useful guide to simulation of the dynamics of energy systems and for implementing monitoring systems based on the estimation of internal system variables from measurements of observable system variables. Dynamic Modeling, Simulation and Control of Energy Generation will serve as a useful aid to designers of hybrid power generating systems involving advanced technology systems such as floating or offshore wind turbines and fuel cells. The book introduces case studies of the practical control laws for a variety of energy generation systems based on nonlinear dynamic models without relying on linearization. Also the book introduces the reader to the use nonlinear model based estimation techniques and their application to energy systems.


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