Design and Optimization of a Diffuser for a Horizontal Axis Hydrokinetic Turbine using Computational Fluid Dynamics based Surrogate Modelling

Authors

  • Waleed KHALID National University of Sciences and Technology (NUST)
  • Salma SHERBAZ Research Center for Modeling and Simulation (RCMS), National University of Sciences and Technology (NUST),Sector H-12, Islamabad, Pakistan
  • Adnan MAQSOOD National University of Sciences and Technology (NUST)
  • Zamir HUSSAIN National University of Sciences and Technology (NUST)

DOI:

https://doi.org/10.5755/j01.mech.26.2.23511

Keywords:

Renewable Energy, Hydrokinetic Turbine, Diffuser Augmentation, Computational Fluid Dynamics, Fluent.

Abstract

Fossil fuels have remained at the backbone of the global energy portfolio. With the growth in the number of factories, population, and urbanization; the burden on fossil fuels has also been increasing. Most importantly, fossil fuels have been causing damage to the global climate since industrialization. The stated issues can only be resolved by shifting to environment friendly alternate energy options. The horizontal axis hydrokinetic turbine is considered as a viable option for renewable energy production. The aim of this project is the design and optimization of a diffuser for horizontal axis hydrokinetic turbine using computational fluid dynamics based surrogate modeling. The two-dimensional flat plate airfoil is used as a benchmark and flow around the airfoil is simulated using Ansys Fluent.  Later, computational fluid dynamics analyses are carried out for baseline diffuser generated from the flat plate airfoil. The performance of this diffuser was optimized by achieving an optimum curved profile at the internal surface of the diffuser. The response surface methodology is used as a tool for optimization. A maximum velocity augmentation of 31.70%  is achieved with the optimum diffuser.

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Published

2020-04-20

Issue

Section

DESIGN AND OPTIMIZATION OF MECHANICAL SYSTEMS