Optimasi Desain Trailing Edge Splitter untuk Mengurangi Turbulensi dan Pressure Drop pada Exhaust Silencer Turbin Gas Menggunakan Metode CFD dan Bayesian Optimization
DOI:
https://doi.org/10.9744/jtm.23.2.102-113Keywords:
gas turbine, exhaust silencer, trailing edge optimization, computational fluid dynamics, Bayesian OptimizationAbstract
Gas turbines are widely used in modern power generation due to their high efficiency and flexibility. However, using exhaust silencers in exhaust gas systems can increase back pressure, reducing overall turbine performance. The aerodynamic behavior of the splitter inside the exhaust silencer, especially at the trailing edge, significantly affects pressure drop and turbulence intensity. This study aims to optimize the trailing edge geometry of a GE Frame 6FA exhaust silencer splitter using a combination of computational fluid dynamics (CFD) and Bayesian optimization (BO). CFD simulations were conducted in ANSYS Fluent using a poly-hexcore mesh, while the optimization employed a Gaussian process (GP) surrogate model with an expected improvement (EI) acquisition function. Seven trailing edge angles (5°–20°) were evaluated to observe the aerodynamic trade-off between pressure drop and turbulent kinetic energy (TKE). The optimal configuration was found at 13.9°, yielding a TKE of 0.43 J/kg and a pressure drop of 18.38 Pa, well below the industrial allowable pressure drop limit of 34 Pa. The results confirm that the BO-GP framework effectively reduces computational cost while achieving a more aerodynamically balanced silencer design.
References
Energy Institute, “Statistical Review of World Energy,” 2023.
J. Winters, “Energy Blog: Gas Power Plants Are Efficiency Giants,” diakses 16 Juni 2026, https://www.asme.org/topics-resources/content/blog-gas-power-plants-are-efficiency-giants#:~:text=Join%20Today
P. Hitchin, “High-efficiency, low-emissions coal plants: come HELE or high water,” diakses 16 Oktober 2025, https://www.gevernova.com/gas-power/resources/articles/2018/come-hele-or-high-water
M.-L. Niggemeier and Dr. P. Roth, “How Gas Engine Power Plants Can Close The Gap,” no. Rolls-Royce, 2024.
B. Chmielewski, I. Herrero-Durá, and P. Nieradka, “Pressure Loss in Ducts by Dissipative Splitter Silencers: Comparative Study of Standardized, Numerical and Experimental Results,” Applied Sciences, vol. 11, no. 22, Article 10998, 2021, doi: 10.3390/app112210998.
M. R. Jokandan, A. S. Variani, and S. Ahmadi, “Study of Acoustic and Aerodynamic Performance of Reactive Silencer with Different Configurations: Theoretical, Modeling and Experimental,” Heliyon, vol. 9, no. 9, Article e20058, 2023, doi: 10.1016/j.heliyon.2023.e20058.
C. Sieverding and M. Manna, “A Review on Turbine Trailing Edge Flow,” International Journal of Turbomachinery, Propulsion and Power, vol. 5, no. 2, Article 10, 2020, doi: 10.3390/ijtpp5020010.
M. I. Hassan, A. D. Andan, W. Asrar, and M. A. M. Sapardi, “Large Eddy Simulation of Low Reynolds Number Flow Around a NACA0015 Airfoil with Modified Trailing Edges,” Journal of Advanced Research in Applied Mechanics, vol. 112, no. 1, pp. 57–79, 2023, doi: 10.37934/aram.112.1.5779.
X. Liu, H. K. Jawahar, and M. Azarpeyvand, “Wake development of airfoils with serrated trailing edges,” Proceeding of 22nd AIAA/CEAS Aeroacoustics Conference, Lyon, France, 2016, doi: 10.2514/6.2016-2817.
Z. Zheng and L. Chen, “Aerodynamic Performance and Wake Development of NACA 0018 Airfoil with Serrated Gurney Flaps,” Frontiers in Energy Research, vol. 12, Article 1363402, 2024, doi: 10.3389/fenrg.2024.1363402.
B. Faqihi and F. A. Ghaith, “Computational Analysis of Heat Recovery from Simple Cycle Gas Turbine Exhaust Stacks Through the Silencer Semi-Circular Sections,” Proceeding of ASME 2023 International Mechanical Engineering Congress and Exposition, New Orleans, USA, 2023, doi: 10.1115/IMECE2023-112921.
L. Cristea and M. Deaconu, “Evaluation of Noise-Reduction Techniques for Gas-Turbine Test Stands: A Preliminary Analysis,” Applied Sciences, vol. 14, no. 13, Article 5702, 2024, doi: 10.3390/app14135702.
K. Tanriver, “CFD Simulation Analysis of a Diesel Generator Exhaust Muffler and Performance-Based Optimization,” Processes, vol. 13, no. 3, Article 887, 2025, doi: 10.3390/pr13030887.
J. M. Reumschüssel, J. G. R. von Saldern, B. Ćosić, and C. O. Paschereit, “Data-Driven Optimization of A Gas Turbine Combustor: A Bayesian Approach Addressing NOX Emissions, Lean Extinction Limits, and Thermoacoustic Stability,” Data-Centric Engineering, vol. 5, pp. e32-1–e32-24, 2024, doi: 10.1017/dce.2024.29.
Y. Morita, S. Rezaeiravesh, N. Tabatabaei, R. Vinuesa, K. Fukagata, and P. Schlatter, “Applying Bayesian optimization with Gaussian process regression to Computational Fluid Dynamics Problems,” Journal of Computational Physics, vol. 449, Article 110788, 2022, doi: 10.1016/j.jcp.2021.110788.
F. Plua, V. Hidalgo, P. A. López-Jiménez, and M. Pérez-Sánchez, “Analysis of Applicability of CFD Numerical Studies Applied to Problem When Pump Working as Turbine,” Water (Basel), vol. 13, no. 15, Article 2134, 2021, doi: 10.3390/w13152134.
C. Bian, S. Zhang, J. Yang, H. Liu, F. Zhao, and X. Wang, “Bayesian Optimization Design of Inlet Volute for Supercritical Carbon Dioxide Radial-Flow Turbine,” Machines, vol. 9, no. 10, Article 218, 2021, doi: 10.3390/machines9100218.
Y. Deng, J. Xu, Y. Li, Y. Zhang, and C. Kuang, “Experimental and Computational Fluid Dynamics Study of the Flow Field of a Model Pump Turbine,” Frontiers in Energy Research, vol. 10, Article 911874, 2022, doi: 10.3389/fenrg.2022.911874.
S. Zhang, Q. Yang, R. Wang, and X. Wang, “Multi-Objective Bayesian Optimization Design of Elliptical Double Serpentine Nozzle,” Aerospace, vol. 11, no. 1, Article 48, 2023, doi: 10.3390/aerospace11010048.
C. E. Rasmussen and C. K. I. Williams, Gaussian Processes for Machine Learning. Cambridge, MA: MIT Press, 2006.
D. R. Jones, M. Schonlau, and W. J. Welch, “Efficient Global Optimization of Expensive Black-Box Functions,” Journal of Global Optimization, vol. 13, no. 4, pp. 455–492, 1998, doi: 10.1023/A:1008306431147.
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