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Gas Turbine Combined Cycle Power Plants

S. Gülen (Rensselaer Polytechnic Institute, United States)

$273

Hardback

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English
CRC Press
10 December 2019
This book covers the design, analysis, and optimization of the cleanest, most efficient fossil fuel-fired electric power generation technology at present and in the foreseeable future.

The book contains a wealth of first principles-based calculation methods comprising key formulae, charts, rules of thumb, and other tools developed by the author over the course of 25+ years spent in the power generation industry. It is focused exclusively on actual power plant systems and actual field and/or rating data providing a comprehensive picture of the gas turbine combined cycle technology from performance and cost perspectives.

Material presented in this book is applicable for research and development studies in academia and government/industry laboratories, as well as practical, day-to-day problems encountered in the industry (including OEMs, consulting engineers and plant operators).

By:  
Imprint:   CRC Press
Country of Publication:   United Kingdom
Dimensions:   Height: 254mm,  Width: 178mm, 
Weight:   1.315kg
ISBN:   9780367199579
ISBN 10:   0367199572
Pages:   544
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Hardback
Publisher's Status:   Active

Dr. S. Can Gülen (PhD 1992, Rensselaer Polytechnic Institute, Troy, NY), PE, ASME Fellow, has 25 years of mechanical engineering experience covering a wide spectrum of technology, system, and software design, development (GTPRO/MASTER, Thermoflex), assessment, and analysis, primarily in the field of steam and gas turbine combined cycle (109FB-SS, IGCC 207FB, H-System) process and power plant turbomachinery and thermodynamics (in Thermoflow, Inc., General Electric and Bechtel). Dr. Gülen has authored/co-authored numerous internal/external archival papers and articles (40+), design practices, technical assessment reports, and US patents (20+) on gas turbine performance, cost, optimization, data reconciliation, analysis and modelling.

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