Academic Journal

Enhancing Hydraulic Efficiency of Pelton Turbines Through Computational Fluid Dynamics and Metaheuristic Optimization

التفاصيل البيبلوغرافية
العنوان: Enhancing Hydraulic Efficiency of Pelton Turbines Through Computational Fluid Dynamics and Metaheuristic Optimization
المؤلفون: Guillermo Barragan, Sebastian Atarihuana, Edgar Cando, Victor Hidalgo
المصدر: Algorithms, Vol 18, Iss 1, p 35 (2025)
بيانات النشر: MDPI AG, 2025.
سنة النشر: 2025
المجموعة: LCC:Industrial engineering. Management engineering
LCC:Electronic computers. Computer science
مصطلحات موضوعية: Pelton, CFD, NSGA-II, efficiency, metaheuristic, Industrial engineering. Management engineering, T55.4-60.8, Electronic computers. Computer science, QA75.5-76.95
الوصف: In this work, the NSGA-II multi objective genetic algorithm, numerical methods, and parametric design techniques found in the Autodesk Inventor professional 2023 CAD software were combined to perform the geometrical optimization of the Pelton bucket geometry. The validation of the proposed method was carried out with numerical simulations using the OpenFOAM CFD program and taking into account the case study turbine’s operating conditions, as well as the k-SST turbulence model. The CFD simulation results and operational data from the case study turbine from the “Illuchi N°2” hydrocenter have been compared in order to validate the proposed methodology. The implementation of the NSGA-II in the design process resulted in optimized bucket geometrical parameters: bucket length, width, inlet angle, and outlet angle. These parameters not only resulted in a 2.56% increase in hydraulic efficiency, but also led to a 0.1 [kPa] reduction in the maximum pressure at the bottom of the bucket. Further research will involve testing these parameters using 3D printing methods to validate their effectiveness.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1999-4893
Relation: https://www.mdpi.com/1999-4893/18/1/35; https://doaj.org/toc/1999-4893
DOI: 10.3390/a18010035
URL الوصول: https://doaj.org/article/21bca4e2ddbe4b7990d39579cff04b71
رقم الانضمام: edsdoj.21bca4e2ddbe4b7990d39579cff04b71
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:19994893
DOI:10.3390/a18010035