The Impact of Compressor Degradation on The Optimized Fleet Compositions, Optimized Thermal Efficiencies, and The Operations & Maintenance Cost of Fleets of a Reheat Engine Running on Associated Gas Fuel
DOI:
https://doi.org/10.37385/jaets.v4i2.1063Keywords:
Energy, Power, Economic Return, TURBOMATCH, Gas TurbineAbstract
Associated gas is a viable source of fuel for industrial gas turbines. Flaring of this fuel resource has not only resulted in environmental pollution and deterioration but also huge energy and economic loss. TURBOMATCH, a Cranfield University performance simulation software was used in modeling a hypothetical but realistic 296MW reheat gas turbine engine.The study was carried out using one clean fleet and three degraded fleets – the optimistic, medium, and pessimistic. Optimization of the fleet compositions and thermal efficiencies were achieved using Genetic algorithm. Detailed operations and maintenance costs analysis for the various fleets were carried out. .Results from the optimization show the optimized fleet compositions, from the various fleets and their turbine entry temperatures for 20 years life span of the project. the result from the 11th to the 20th year of the project, only one unit of engine was left due to engine divestment. Results of the optimized efficiencies for all the fleets show a gradual reduction in optimized efficiencies over the years of the project. Similarly, for all the scenarios considered, from the 11th to the 20th year of the project, with only one unit of engine left, the optimized efficiency trend is observed to be Clean > Optimistic > Medium > Pessimistic.Results from the fleets operations and maintenance costs show that the clean, optimistic, medium, and pessimistic degraded fleets have total operations and maintenance costs to be 1.224, 1.242, 1.265, and 1.297 billion US dollars respectively. Engine degradation resulted to 1.4%, 3.3%, and 5.9% increase in the operations and maintenance costs of the optimistic, medium, and pessimistic degraded fleets respectively.The results, approach and methodology presented in this paper would be a very useful decision-making tool for investors and governments who would want to invest in the economic utilization of associated gas using gas turbines.
Downloads
References
Adolfo, D., Carcasci, C., Falchetti, C., & Lubello, P. (2018). Thermo-economic analysis of a natural gas liquefaction plant. Energy Procedia, 148, 42–49. https://doi.org/10.1016/j.egypro.2018.08.017
Allison I. (2014). Techno-economic evaluation of associated gas usage for gas turbine power generation in the presence of degradation and resource decline. Ph.D. Thesis, Cranfield University
Allison, I., Ramsden, K., Pilidis, P., & Roupa, A. (2013). Gas Turbine Degradation in the Techno-Economic Environmental and Risk Analysis of Flare Gas Utilization in Nigeria. Volume 5B: Oil and Gas Applications; Steam Turbines. https://doi.org/10.1115/gt2013-94505
Anosike BN. (2013). Technoeconomic evaluation of flared natural gas reduction and energy recovery using gas-to-wire scheme. Ph.D. Thesis, Cranfield University, UK.
Anosike, N., El-Suleiman, A., & Pilidis, P. (2016). Associated Gas Utilization Using Gas Turbine Engine, Performance Implication—Nigerian Case Study. Energy and Power Engineering, 08(03), 137–145. https://doi.org/10.4236/epe.2016.83012
Carazas, F. J. G., Salazar, C. H., & Souza, G. F. M. (2011). Availability analysis of heat recovery steam generators used in thermal power plants. Energy, 36(6), 3855–3870. https://doi.org/10.1016/j.energy.2010.10.003
Eckardt, D. (2014). Gas Turbine Powerhouse. https://doi.org/10.1524/9783110369380
Fujita, K., Akagi, S., Yoshida, K., & Hirokawa, N. (1996). Genetic Algorithm Based Optimal Planning Method of Energy Plant Configurations. Volume 3: 22nd Design Automation Conference. https://doi.org/10.1115/96-detc/dac-1464
Ighodaro, O. O., & Osikhuemhe, M. (2019). Thermo-economic analysis of a heat recovery steam generator combined cycle. Nigerian Journal of Technology, 38(2), 342. https://doi.org/10.4314/njt.v38i2.10
Jassim, R. (2015). Thermo-Economic Analysis of Gas Turbines Power Plants with Cooled Air Intake. International Journal of Energy and Power Engineering, 4(4), 205. https://doi.org/10.11648/j.ijepe.20150404.13
Knight, R., Obana, M., von Wowern, C., Mitakakis, A., Perz, E., Assadi, M., Mo¨ller, B. F., Sen, P., Potts, I., Traverso, A., & Torbidoni, L. (2006). GTPOM: Thermo-Economic Optimization of Whole Gas Turbine Plant. Journal of Engineering for Gas Turbines and Power, 128(3), 535–542. https://doi.org/10.1115/1.1850511
Kurz, R., & Brun, K. (2009). Degradation of gas turbine performance in natural gas service. Journal of Natural Gas Science and Engineering, 1(3), 95–102. https://doi.org/10.1016/j.jngse.2009.03.007
Li, Y. G., Pilidis, P., & Newby, M. A. (2005). An Adaptation Approach for Gas Turbine Design-Point Performance Simulation. Journal of Engineering for Gas Turbines and Power, 128(4), 789–795. https://doi.org/10.1115/1.2136369
Lotfi, O. (2006). Aerodynamic optimisation of an industrial axial fan blade (Doctoral dissertation, Cranfield University).
Mitchell, M. (1996). An introduction to genetic algorithms mit press. Cambridge, Massachusetts. London, England, 1996.
Mo, H., Sansavini, G., & Xie, M. (2018). Performance-based maintenance of gas turbines for reliable control of degraded power systems. Mechanical Systems and Signal Processing, 103, 398–412. https://doi.org/10.1016/j.ymssp.2017.10.021
Nikolaidis, T. (2015). TURBOMATCH Scheme for Aero/Industrial Gas Turbine Engine. Turbomatch Manual; Cranfield University: Cranfield, UK.
Nkoi, B. (2014). Techno-economic studies of environmentally friendly Brayton cycles in the petrochemical industry (Doctoral dissertation, Cranfield University).
Obhuo M. (2018). Techno-economic and environmental risk assessment of gas turbines for use with flared associated gases. Ph.D. Thesis, Cranfield University, UK.
Obhuo, M., Aziaka, D. S., Osigwe, E., Oyeniran, A. A., Emmanuel, O. A., & Pilidis, P. (2020). Economic optimization from fleets of aero-derivative gas turbines utilising flared associated gas. International Journal of Thermofluids, 7–8, 100049. https://doi.org/10.1016/j.ijft.2020.100049
Obhuo, M., Igbong, D. I., Aziaka, D. S., & Pilidis, P. (2020). The Delaying Influence of Degradation on the Divestment of Gas Turbines for Associated Gas Utilisation: Part 1. International Journal of Aerospace and Mechanical Engineering, 14(6), 214-220.
Oksuz, O., & Akmandor, I. (2001). Aerodynamic optimization of turbomachinery cascades using Euler/boundary-layer coupled genetic algorithms. 15th AIAA Computational Fluid Dynamics Conference. https://doi.org/10.2514/6.2001-2577
Okuma, S.O, Orumgbe, C., & Obhuo, M. (2022). Energy and Exergy Investigations of a 972mw Based Steam Parameters Thermal Power Plant in Nigeria. Journal of Advanced Industrial Technology and Application, 3(2), 105-111.
Oyama, A., & Liou, M.-S. (2002). Multiobjective Optimization of a Multi-Stage Compressor Using Evolutionary Algorithm. 38th AIAA/ASME/SAE/ASEE Joint Propulsion Conference &Amp; Exhibit. https://doi.org/10.2514/6.2002-3535
Oyama, A., Liou, M.-S., & Obayashi, S. (2002). Transonic Axial-Flow Blade Shape Optimization Using Evolutionary Algorithm and Three-Dimensional Navier-Stoke Solver. 9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization. https://doi.org/10.2514/6.2002-5642
Oyedepo, S. O., Fagbenle, R. O., Adefila, S. S., Alam, M. Md., & Dunmade, I. S. (2018). Thermo-economic and environmental assessment of selected gas turbine power plants in Nigeria. Progress in Industrial Ecology, An International Journal, 12(4), 361. https://doi.org/10.1504/pie.2018.097164
Pachidis A. (2014). Gas turbine performance simulation. Thermal Power MSc Lecture Note. Cranfield University, UK.
Palmer, J. (1999). The Turbomatch Scheme for Aero/Industrial Gas Turbine Engine Design Point/Off Design Performance Calculation [Course Lecture Note]. Gas Turbine Simulation and Diagnostics.
Pilidis P and Palmer J. (2010). Gas turbine theory and performance. Thermal Power MSc Lecture Note. Cranfield University, UK.
Power Engineering International. (2011). Middle East Energy report. Available at: http://www.powerengineeringint.com/articles/mee/print/volume-8/issue-2/features/fujairah-2-power-and-water-for-abu-dhabi.html (Accessed: 10 January 2018).
Shayan, M., Pirouzfar, V., & Sakhaeinia, H. (2019). Technological and economical analysis of flare recovery methods, and comparison of different steam and power generation systems. Journal of Thermal Analysis and Calorimetry, 139(4), 2399–2411. https://doi.org/10.1007/s10973-019-08429-9
Tahan, M., Tsoutsanis, E., Muhammad, M., & Abdul Karim, Z. A. (2017). Performance-based health monitoring, diagnostics and prognostics for condition-based maintenance of gas turbines: A review. Applied Energy, 198, 122–144. https://doi.org/10.1016/j.apenergy.2017.04.048
Turbines AG (2013).GT24 and GT26 gas turbines
Valencia Ochoa, G., Acevedo Peñaloza, C., & Duarte Forero, J. (2019). Thermo-Economic Assessment of a Gas Microturbine-Absorption Chiller Trigeneration System under Different Compressor Inlet Air Temperatures. Energies, 12(24), 4643. https://doi.org/10.3390/en12244643
Yao, S., Zhang, Y., & Yu, X. (2018). Thermo-economic analysis of a novel power generation system integrating a natural gas expansion plant with a geothermal ORC in Tianjin, China. Energy, 164, 602–614. https://doi.org/10.1016/j.energy.2018.09.042
Zolfaghari, M., Pirouzfar, V., & Sakhaeinia, H. (2017). Technical characterization and economic evaluation of recovery of flare gas in various gas-processing plants. Energy, 124, 481–491. https://doi.org/10.1016/j.energy.2017.02.084
CITEDNESS IN SCOPUS
CITEDNESS IN WOS
