International Journal of Mechanical Engineering and Applications
Volume 5, Issue 4, August 2017, Pages: 228-238
Received: Sep. 22, 2016;
Accepted: Jan. 21, 2017;
Published: Aug. 21, 2017
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Enyia James Diwaa, Department of Mechanical Engineering, Cross River University of Technology, Calabar, Nigeria
Archibong Eso Archibongb, Department of Mechanical Engineering, Cross River University of Technology, Calabar, Nigeria
Dodeye Ina Igbongc, Department of Mechanical Engineering, Cross River University of Technology, Calabar, Nigeria
Ukpabio E. Eyod, Department of Mechanical Engineering, Cross River University of Technology, Calabar, Nigeria
It is no longer news that gas turbines deteriorates after some period in operation, and if the deterioration effect is not taken into consideration, the gas turbine operator or owner will run into huge economic loss. Availability and reliability have been very important tools to every gas turbine owner, and there are various methods by which these engines have been investigated to prolong its life span, as such, it has become imperative to use different methods such as online and offline washing so as to advise the engine operator on which of the methods that will be more beneficial economically. The engine is kept clean the often it is been washed and thus produces more power, but how economically viable will it be washing the engine for this much times in a year has been the crux, considering the cost of wash fluids, equipment cost, labour cost, and so on. Hence this research technical paper. In this technical paper, it has been investigated that though keeping power high is very important but does not necessarily means saving cost. An online compressor washing was investigated and it was a 30% power recovery on each time online compressor water wash was administered, and the washing took place ones in every 7days, which gives a total of 54 washes per annum. The offline wash took place ones in every 3 months, making a total of 4 washes per annum with 85% power recovery after each offline compressor water wash, and the maximum limit of engine deterioration never exceed 10% of the original power at each given point. The engine modelled for this study was similar to that of GE LM2500+. The performance simulation was carried out via TURBOMATCH/PYTHIA which is Cranfield University software for gas turbine performance simulation. The output result was fed into a techno-economic model where the total financial involvement was computed for both the online and the offline compressor water wash. The cost implications have shown that though more power could be saved when the engine is washed regularly, but not necessarily economically viable as any engine owner or operator would have wanted. It has been shown in financial terms that fouling actually has significant effect on gas turbine performance, and the more economically viable compressor water wash method has been investigated via the economic model.
Enyia James Diwaa,
Archibong Eso Archibongb,
Dodeye Ina Igbongc,
Ukpabio E. Eyod,
Economic Viability of Compressor Washing Methods for Maximum Power Output, International Journal of Mechanical Engineering and Applications.
Vol. 5, No. 4,
2017, pp. 228-238.
R. Panneerselvam, Engineering Economics, 2nd Edition, October, 2013.
B. H. Houssein. The Optimization of the usage of Gas Turbine Generation sets for Oil and Gas Production using Genetic Algorithms, Unpublished PhD Thesis, Cranfield University, Bedfordshire, United Kingdom. 2010.
Syverud, Axial Compressor Performance Deterioration and Recovery through Online Washing, Trondhein: Norwegian University of Science and Technology, 2007.
K. A. Ahmad, Economic Analysis of Online Compressor Washing for Small to Heavy Duty Gas Turbine Engine (for Power Generation), Unpublished MSc Thesis, Cranfield University, Bedfordshire, United Kingdom, 2013.
R. Kurz, K. Brun, Degradation in Gas Turbine systems. Journal of Engineering for Gas Turbines and Power, vol. 123, no.1, pp.70-77, 2009.
K. Brun, R. Kurz, H. Simmons, Aerodynamics Instability and Life Limiting Effects of Inlet and Inter-stage Water Injection into Gas Turbines, ASME Paper No. GT2005-68007, 2007.
J. P. Stalder, Gas Turbine Compressor Washing State of the Art: Field Experience, ASME Journal of Engineering for Gas Turbines and Power. Vol. 122, pp. 363-370, ASME Paper No. 98-GT-420, 1998.
Z. P. Spakovsky, J. Gertz, O. P. Sharma, J. D. Paduano, A. H. Epstein, E. M. Greitzer, Influence of Compressor Deterioration on Engine Dynamic Behaviour and Transient Stall Margin, ASME Paper No. 99-GT-439, 1999.
M. B. Graf, T. S. Wong, E. M. Greitzer, F. E. Marble, C. S. Tan, H. W. Shin, D. C. Wisler, Effects of Non-axisymmetric Tip Clearance on Axial Compressor Performance and Stability, ASME J. Turbomachinery, 120 (4), pp. 648-661, 1998.
V. M. O. Zuniga, Techno-economic Analysis of Compressor Washing, Unpublished MSc Thesis, Cranfield University, Bedfordshire, United Kingdom, 2011.
A. Lakshminarasimha, M. Boyce, C. Meher-Homji, Modelling and Analysis of Gas Turbine Performance Deterioration, Journal of Engineering for Gas Turbine and Power, Transactions of the ASME, Vol. 116, No. 1, pp. 46-52, 1994.
A. Zwebek, Combine Cycle Performance Deterioration Analysis, Unpublished PhD Thesis, Cranfield University, UK, 2002.
J. L. F. Langford, Contamination Removal Method, Patent 4, 065, 322, USA, 2002.
R. Yee, L. Myer, Enhanced TF40B Gas Turbine Design Chances to Improve Resistance to the Landing Craft Air Cushion (LCAC) operation environment, Naval Surface Warfare Centre Carderock Division, C. S. C. A. M. C. USA Vol. 3 at Atlanta Georgia USA; ASME USA, pp. 495-499, 2003.
J. Thomas, J. Stegmaier, J. J. J. Ford, Online Washing Practices and Benefits, ASME, June 4-8, pp. 6. Toronto, Ontario, Canada, 1989.
K. W. Bagshaw, Maintenance Cleanliness in Axial Compressor, National Research Council edition, Canada, 1994.
D. Brumbaugh, Inlet Air Filtration Adapts to Evolving Gas Turbine Technology, Power Engineering, Vol. 106, No. 10, pp. 51-54, 2002.
T. Giampolo, The Gas Turbine Handbook, The Fairmont Press, USA, 1997.
K. Mathioudakis, T. Tsalavoutas, Uncertainty Reduction in Gas Turbine Performance Diagnostics by Accounting for Humidity Effects, Journal of Engineering for Gas Turbine and Power, Vol. 124, pp. 801-806, 2002.
R. Kurz, K Brun, Degradation in Gas Turbine System, Journal of Engineering for Gas Turbines and Power. ASME, Paper 2000-GT345, Vol. 123 (1), pp 70-77, 2000.
I. S. Diakunchak, Performance Deterioration in Industrial Gas Turbine, ASME Journal of Gas Turbines and Power, Vol. 124, pp. 114-161, 1992.
F. Seddigh, H. Saravanamuttoo, A Proposed Method for Assessing the Susceptibility of Axial Compressors to Fouling, Journal of Engineering for Gas Turbine and Power. Vol. 113 (4), pp. 595-601, 1990.
U. Igie, Gas Turbine Performance Application, Unpublished MSc lecture note, Cranfield University, Bedfordshire, UK, 2013.
A. Razak, Industrial Gas Turbines, Woodhead, 2007.
S. M. Fleshland, Gas Turbine Optimum Operation. Master Thesis, Norwegian University of Science and Technology (NTNU), Chapter 4, 2010.
A. Fabbri, A. Traveerso, S. Cafaro, Compressor Performance Recovery System: which solution and when, Preoceedings of the institution of Mechanical Engineers, Part B: Journal of Power and Energy, vol. 225, no. 4, pp. 457-466, 2011.
G. J. Kacprzynski, M. Gumina, M. J. Roemer, D. E. Caguiat, A Prognostic Modelling Approach for Predicting Recurring Maintenance for Shipboard Propulsion Systems, ASME Paper No. 2001-GT-0218, 2001.
J. D. Enyia, Y. Li, D. I. Igbong, I. Thank-God, Industrial Gas Turbine On-line Compressor Washing for Power Generation, International Journal of Engineering Research & Technology. Vol. 4 Issue 08. pp. 500-506, 2015.
G. Hovland, M. Antonie, Scheduling of gas turbine compressor washing, Intelligent Automation & Soft Computing, vol. 12, no. 1, pp. 63-73, 2006.
W. Kappis, Impact of Degradation on the Operational Behaviour of a Stationary Gas Turbine and in detail on the Associated Compressor, 2013.
Turbotech Ltd, http://www.turbotect.com/index.html, Retrieved July 30, 2012.
P. Asplund, Gas Turbine Efficiency, Retrieved 2012, from Turbinesint: http://turbinesint.com/gas-turbine-compressor-cleaning, 1998.
E. Tsoutsanis, et al. Performance Adaptation of Gas Turbine for Power Generation Applications, [electronic resource] Cranfield University, 2010.
J, Fielder., Evaluation of Zero Compressor Wash Routine in RN Service. ASME Turbo Expo 2003-38887, USA, 2003.
P. Pilidis, Palmer, Gas turbine theory and performance, Unpublished MSc Lecture note. Department of Power and Propulsion, Cranfield University, Bedfordshire, United Kingdom, 2010.
Y. Li, Gas turbine diagnostics, Unpublished MSc Lecture note. Department of Power and Propulsion, Cranfield University, Bedfordshire, United Kingdom, 2010.
N. O. Vigna, A flexible lifing model for gas turbine: Creep and fatigue approach, MSc Thesis, Cranfield University, 2006.
H. Oskarsson, Material Challenges in Industrial Gas Turbines, Journal of Iron and Steel Research, International, vol. 14, no. 5, Supplement 1, pp. 11-14. 2007.
F. Larson, J. Miller, A time-temperature relationship for rupture and creep stresses, 1952.
S. C. Gulen, P. R. Griffin, S. Paolucci, “Real-Time On-line Performance Diagnostics of Heavy-Duty Industrial Gas Turbines”, Journal of Engineering for as Turbines and Power, vol. 124, no. 4, pp. 910-921, 2002.
blog.comparemysolar.co.uk/electricity-price-per-kwh-comparison-of-by-big-six-energy-companies/. Accessed August, 2015.
www.petrolprices.com/the-price-of-fuel.html#j-1-3. Accessed August, 2015.