Optimization of a novel impulse gas turbine nozzle and blades design utilizing Taguchi method for micro-scale power generation.
In: Energy, Jg. 282 (2023-11-01), S. N.PAG
academicJournal
Zugriff:
This study is conducted to optimize the nozzle and blade of a compact non-combustion impulse gas turbine driven by the pressurized gas line with Computational Fluid Dynamics (CFD) approach and Taguchi method. For nozzle, throat diameter, nozzle inlet and outlet diameter and convergent-divergent length were investigated. Meanwhile, number of blades, blade radius, blade curvature angle, blade thickness and surface roughness were evaluated for blade. An L25 orthogonal array was chosen for both optimizations. Once optimized, the corresponding operating envelope was identified and compared against the original turbine. When operating at flow rate of 1.2MMSCFD and pressure of 69 bar, the turbine with optimized nozzle produces a maximum power output of 4383.59W at 5500 rpm, while with optimized blades produce 2058.64W at 5000 rpm. Combining optimized nozzle and blades produced 4928.64W at 6000 rpm. These produced powers are significantly higher than the original turbine maximum power of 1743.81W at 4500 rpm. This indicates potential performance enhancement of the turbine by optimizing its blade and nozzle geometry which is useful for its implementation on the offshore platform. To fully utilize this potential enhancement, the electric generator attached to the turbine shall be fine-tuned to have peak power at the optimum rpm band of the optimized turbine. • Optimization of novel impulse turbine nozzle and blades design. • Enhancement of turbine performance by up to 21% with optimized blades. • Optimized nozzle provides enhancement by more than two times. • Optimized turbine achieved higher power output and wider operating range. • Potential to be implemented in offshore platforms. [ABSTRACT FROM AUTHOR]
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Optimization of a novel impulse gas turbine nozzle and blades design utilizing Taguchi method for micro-scale power generation.
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Autor/in / Beteiligte Person: | Liaw, Kim Leong ; Kurnia, Jundika C. ; Lai, Wen Kang ; Ong, Khai Chuin ; Zar, Muhammad Aliff B. Mohd Ali ; Muhammad, M. Fadhli B. ; Firmansyah |
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Zeitschrift: | Energy, Jg. 282 (2023-11-01), S. N.PAG |
Veröffentlichung: | 2023 |
Medientyp: | academicJournal |
ISSN: | 0360-5442 (print) |
DOI: | 10.1016/j.energy.2023.129018 |
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