Overview

Addressing a field which, until now, has not been sufficiently investigated, Essentials of Natural Gas Microturbines thoroughly examines several natural gas microturbine technologies suitable not only for distributed generation but also for the automotive industry. An invaluable resource for power systems, electrical, and computer science engineers as well as operations researchers, microturbine operators, policy makers, and other industry professionals, the book: Explains the importance of natural gas microturbines and their use in distributed energy resource (DER) systems Discusses the history, development, design, and operation of gas microturbines Introduces the Evolutionary Algorithm for pollutant emissions and fuel consumption minimization Analyzes the power electronics for grid connection of natural gas microturbines Includes actual power quality measurements—graphical representations and numerical data—from a real system Contains 39 color figures Readers benefit from the clarity and practicality of Essentials of Natural Gas Microturbines, ultimately learning new techniques to increase electrical load efficiency, keep the environment cleaner, and improve equipment exploitation based on mathematical results.

Full Product Details

Author:   Valentin A. Boicea (University of Bucharest, Romania)
Publisher:   Taylor & Francis Inc
Imprint:   CRC Press Inc
Dimensions:   Width: 15.60cm , Height: 2.00cm , Length: 23.40cm
Weight:   0.498kg
ISBN:  

9781466594715

ISBN 10:   1466594713
Pages:   270
Publication Date:   12 December 2013
Audience:   College/higher education ,  General/trade ,  Tertiary & Higher Education ,  General
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

The Gas Turbines and the Automotive Industry. The Fuel Control System for a Gas Turbine Engine Developed by Rover. The Fuel Control System for a Gas Turbine Engine Developed by FIAT. The Fuel Control System for a Gas Turbine Engine Developed by Ford. The Fuel Control System for a Gas Turbine Engine Developed by Chrysler. The Fuel Control System for a Gas Turbine Engine Developed by General Motors. The Natural Gas Microturbines in the Distributed Generation. The Gas Boost Compressor of the Microturbine. The Ignition System. The Shaft. The Annular Recuperator. The Catalytic Reactor for Pollutant Emissions Minimization. The Gas Microturbines and the Pollutant Emissions Optimization. Multi–Objective Optimization of Energy Efficiency and Pollutant Emissions. Multi–Objective Operational Optimization through the Evolutionary Algorithm. Numerical Results. Generalities on the Design of a TA–100 Natural Gas Microturbine. The Gas Compressor. The Ignition System. The Acceleration Control Method. The Recuperator Structure. The NOx Reduction System. Power Converter Circuits Used for Grid Connection. Power Converter Circuits Used for C30 and C60. Power Converter Circuits Used for TA–100. Grid Measurements and General Features of a TA–100 Gas Microturbine. Case Studies. Market Potential for the Natural Gas Microturbines in California. Concluding Remarks. Appendices.

Reviews

This book gives a comprehensive treatment of the most important features regarding practical construction details and the control system strategies adopted by micro gas turbines fuelled by natural gas. - Daniele Cocco, Department of Mechanical, Chemical, and Materials Engineering, University of Cagliari, Italy

This book gives a comprehensive treatment of the most important features regarding practical construction details and the control system strategies adopted by micro gas turbines fuelled by natural gas. - Daniele Cocco, Department of Mechanical, Chemical, and Materials Engineering, University of Cagliari, Italy

Author Information

Adrian–Valentin Boicea, a former PhD student at Politecnico di Torino, Italy, received the BS in electrical engineering and electrical power systems from the University Politehnica of Bucharest (UPB), Romania. Currently, he is a Lecturer within the Department of Electrical Power Systems at the UPB. His research interests include the distributed generation systems, energy efficiency, renewable sources, the operational research algorithms used in power engineering, as well as Big Data analysis applied in the energy sector.

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