Abstract
This study aimed at quantifying the effect of mechanical load on the performance of an 18.7 MW offshore gas turbine engine. The targeted engine is of two-shaft free power turbine configuration that operates as a mechanical driver for a process compressor in the gas compression service. The study is a part of a comprehensive performance health monitoring program to address the diagnostic and prognostic requirements in oil and gas offshore platforms and is motivated by the need to provide in-depth knowledge of the gas turbine engine performance. In this work, only the context of some design point key performance parameters and a limited set of collected operational data from the gas turbine in the real plant are available. Therefore, three major tasks, namely design point calculation, characteristic map tuning and off-design performance adaption, were needed to be performed. In order to check the validity of the proposed model, the obtained simulation results were compared with the operational data. The results indicate the maximum inaccuracy of the proposed model is 3.04 %. Finally, by employing the developed model, the engine capability for power generation when exposed to various load speeds is investigated. The obtained result demonstrates at the maximum gas generator speed, every 3 % decrease in mechanical speed leads to 1 % decline in the gas turbine power output. Moreover, when the gas turbine operates under design power load and mechanical speed is lower than 80 % of design speed, every 1 % decrease in load speed results in 0.2 % loss in thermal efficiency. The established relationship will assist proper assessment of mechanical drive gas turbines for performance health monitoring.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
P. Spina, Gas turbine performance prediction by using generalized performance curves of compressor and turbine stages, Proc. of ASME Turbo Expo 2002: Power for Land, Sea, and Air, Amsterdam, Netherlands (2002) 1073–1082.
Y. Li, M. A. Ghafir, L. Wang, R. Singh, K. Huang and X. Feng, Nonlinear multiple points gas turbine off-design performance adaptation using a genetic algorithm, Journal of Engineering for Gas Turbines and Power, 133 (7) (2011) 07170.
E. Tsoutsanis, N. Meskin, M. Benammar and K. Khorasani, Transient gas turbine performance diagnostics through nonlinear adaptation of compressor and turbine maps, Journal of Engineering for Gas Turbines and Power, 137 (9) (2015) 091201.
D. E. Muir, H. I. Saravanamuttoo and D. Marshall, Health monitoring of variable geometry gas turbines for the Canadian Navy, Journal of Engineering for Gas Turbines and Power, 111 (2) (1989) 244–250.
J. Kim, T. Song, T. Kim and S. Ro, Model development and simulation of transient behavior of heavy duty gas turbines, Journal of Engineering for Gas Turbines and Power, 123 (3) (2001) 589–594.
F. Haglind, Variable geometry gas turbines for improving the part-load performance of marine combined cycles–Gas turbine performance, Energy, 35 (2) (2010) 562–570.
J. Kurzke, GasTurb 11: Design and Off-Design Performance of Gas Turbines, Gas Turb11 (2007).
H. Saravanamuttoo and B. MacIsaac, Thermodynamic models for pipeline gas turbine diagnostics, Journal of Engineering for Gas Turbines and Power, 105 (4) (1983) 875–884.
A. M. Y. Razak, Industrial gas turbines: performance and operability, Elsevier (2007).
M. Gobran, Off-design performance of solar Centaur-40 gas turbine engine using Simulink, Ain Shams Engineering Journal, 4 (2) (285–298) 2013.
W. P. Visser and M. J. Broomhead, GSP, a generic objectoriented gas turbine simulation environment, Proc. of ASME Turbo Expo 2000: Power for Land, Sea, and Air, Munich, Germany (2000) V001T01A002-V001T01A002.
H. Rashidzadeh, S. M. Hosseinalipour and A. Mohammadzadeh, The SGT-600 industrial twin-shaft gas turbine modeling for mechanical drive applications at the steady state conditions, Journal of Mechanical Science and Technology, 29 (10) (2015) 4473–4481.
S. Bahrami, A. Ghaffari, S. H. Sadati and M. Thern, Identifying a simplified model for heavy duty gas turbine, Journal of Mechanical Science and Technology, 28 (6) (2014) 2399–2408.
A. Lazzaretto and A. Toffolo, Analytical and neural network models for gas turbine design and off-design simulation, International Journal of Thermodynamics, 4 (4) (2001) 173–182.
J. F. Sellers and C. J. Daniele, DYNGEN: A program for calculating steady-state and transient performance of turbojet and turbofan engines, National Aeronautics and Space Administration (1975) 7901.
C. Kong, J. Ki and M. Kang, A new scaling method for component maps of gas turbine using system identification, Journal of Engineering for Gas turbines and Power, 125 (4) (2003) 979–985.
Author information
Authors and Affiliations
Corresponding author
Additional information
Recommended by Associate Editor Tong Seop Kim
Mohammadreza Tahan received his B.Sc. and M.Sc. degrees in Mechanical Engineering from Engineering Faculty of Ferdowsi University, Mashhad, Iran, in 2005 and 2008, respectively. He has been a Senior Machinery Engineer in Nargan Engineers and Constructors for over 5 years before he joined Universiti Teknologi PETRONAS, Malaysia, in 2013 as a Research Assistant and Ph.D. student. His current research interests include design, implementation, and testing of real-time models for condition monitoring, health assessment, prognostics and diagnostics of rotating equipment.
Masdi bin Muhammad, C.Eng. (UK), CMRP, ASQ-Certified Reliability Engineer, is a Senior Lecturer in Mechanical Engineering Department and research cluster leader for Facility and Plant Engineering, Universiti Teknologi PETRONAS. He obtained his first and Master degrees, B.Sc. in Mechanical Engineering and M.Sc. in Manufacturing System Engineering, from Lehigh University, USA. His Ph.D. in Mechanical Engineering was obtained from UTP with research on Reliability Model for Repairable Systems with Multi-State Degradation. He is actively involved in consultation work and training on asset reliability and integrity for oil and gas companies.
Zainal Ambri Bin Abdul Karim currently serves as an Associate Professor at the Mechanical Engineering Department of Universiti Teknologi PETRONAS and has been with the department for almost 17 years. He obtained his B.Sc. in Marine Engineering (USA) and later read Automotive Engineering to Ph.D. level (UK). He had conducted several short courses for the Accelerated Capability Development for PETRONAS Engineers Skill Group 12 which include Design, Operation, Maintenance and Inspection of Steam Boilers, Internal Combustion Engines, and Automotive Engineering. In addition, he also contributed to other short-courses such as Centralized Distributed Cooling System and Thermal Power Plant Efficiency & Heat Rate Improvement. He is an active reviewer for several international journals while having published more than 30 journal articles. His research interests include combustion analysis, energy optimization, marine engineering, power plant engineering and internal combustion engines.
Rights and permissions
About this article
Cite this article
Tahan, M., Muhammad, M. & Abdul Karim, Z.A. Performance evaluation of a twin-shaft gas turbine engine in mechanical drive service. J Mech Sci Technol 31, 937–948 (2017). https://doi.org/10.1007/s12206-017-0146-9
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12206-017-0146-9