Computational Fluid Dynamics Study of Wake Recovery for Flow Across Hydrokinetic Turbine at Different Depth of Water

Hew Wei Ren; Fatimah Al Zahrah  Mohd Saat; Fadhilah  Shikh Anuar; Mohd Arizam  Abdul Wahap; Ernie  Mat Tokit; Tee Boon Tuan

doi:10.37934/cfdl.13.2.6276

Authors

Hew Wei Ren Fakulti Kejuruteraan Mekanikal (FKM), Universiti Teknikal Malaysia Melaka (UTeM), Hang Tuah Jaya, 76100, Durian Tunggal, Melaka, Malaysia
Fatimah Al Zahrah Mohd Saat Fakulti Kejuruteraan Mekanikal (FKM), Universiti Teknikal Malaysia Melaka (UTeM), Hang Tuah Jaya, 76100, Durian Tunggal, Melaka, Malaysia
Fadhilah Shikh Anuar Centre for Advanced Research on Energy (CARe), Universiti Teknikal Malaysia Melaka (UTeM), Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia
Mohd Arizam Abdul Wahap Centre for Advanced Research on Energy (CARe), Universiti Teknikal Malaysia Melaka (UTeM), Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia
Ernie Mat Tokit Centre for Advanced Research on Energy (CARe), Universiti Teknikal Malaysia Melaka (UTeM), Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia
Tee Boon Tuan Centre for Advanced Research on Energy (CARe), Universiti Teknikal Malaysia Melaka (UTeM), Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia

DOI:

https://doi.org/10.37934/cfdl.13.2.6276

Keywords:

hydrokinetic turbine, wake recovery, dynamic mesh method

Abstract

Depletion of fossil fuel caused mankind to look for sustainable and green energy resources. The characteristic of hydrokinetic turbine with ability to operate at low head stream and at low cost made it a good choice for use to harness hydro source of energy. As hydrokinetic turbine gain attention from the industry player, many experimental and Computational Fluid Dynamics (CFD) studies related to hydrokinetic turbine have been carried out. Yet the relationship of flow depth variation and wake recovery behind the turbine is still not fully understood. There is limited study about the effects of flow depth variations on the wake recovery behind the turbine. In this paper, a CFD model investigation was done based on published experimental work. A hydrokinetic water turbine was drawn using the MHKF1-180 and NACA4418 foils dimensions. The transient CFD study was conducted using SST k-w turbulence model and dynamic mesh method. The results showed that in near wake region, the wake at deeper depth will recover faster seemingly due to pressure change at that depth and the faster rate of momentum transfer of the fluid. It can be concluded that the deeper the placement of the turbine inside the water channel, the faster the wake recovers. The wake recovery results as presented in this paper should be considered when placing set of turbines especially in array arrangement to obtain a more efficient energy conversion.

References

Haseli, Yousef. Entropy Analysis in Thermal Engineering Systems. Academic Press, 2019.

Coyle, Eugene D., and Richard A. Simmons. Understanding the global energy crisis. Purdue University Press, 2014. https://doi.org/10.26530/OAPEN_469619

Ehrlich, Robert, and Harold A. Geller. Renewable energy: a first course. CRC press, 2017.

Muratoglu, Abdullah, and M. Ishak Yuce. "Design of a river hydrokinetic turbine using optimization and CFD simulations." Journal of Energy Engineering 143, no. 4 (2017): 04017009. https://doi.org/10.1061/(ASCE)EY.1943-7897.0000438

Kumar, Dinesh, and Shibayan Sarkar. "A review on the technology, performance, design optimization, reliability, techno-economics and environmental impacts of hydrokinetic energy conversion systems." Renewable and Sustainable Energy Reviews 58 (2016): 796-813. https://doi.org/10.1016/j.rser.2015.12.247

Anyi, Martin, and Brian Kirke. "Evaluation of small axial flow hydrokinetic turbines for remote communities." Energy for Sustainable Development 14, no. 2 (2010): 110-116. https://doi.org/10.1016/j.esd.2010.02.003

Duvoy, Paul, and Horacio Toniolo. "HYDROKAL: A module for in-stream hydrokinetic resource assessment." Computers & geosciences 39 (2012): 171-181. https://doi.org/10.1016/j.cageo.2011.06.016

Salleh, Mohd Badrul, Noorfazreena M. Kamaruddin, and Zulfaa Mohamed-Kassim. "Savonius hydrokinetic turbines for a sustainable river-based energy extraction: A review of the technology and potential applications in Malaysia." Sustainable Energy Technologies and Assessments 36 (2019): 100554. https://doi.org/10.1016/j.seta.2019.100554

Jump, Ellen, Alasdair Macleod, and Tom Wills. "Review of tidal turbine wake modelling methods." International Marine Energy Journal 3, no. 2 (2020): 91-100. https://doi.org/10.36688/imej.3.91-100

McKay, Phillip, Rupp Carriveau, David SK Ting, and Timothy Newson. "Turbine Wake Dynamics." In Advances in Wind Power. IntechOpen, 2012. https://doi.org/10.5772/53968

Tian, Wenlong, James H. VanZwieten, Parakram Pyakurel, and Yanjun Li. "Influences of yaw angle and turbulence intensity on the performance of a 20 kW in-stream hydrokinetic turbine." Energy 111 (2016): 104-116. https://doi.org/10.1016/j.energy.2016.05.012

Boudreau, Matthieu, and Guy Dumas. "Comparison of the wake recovery of the axial-flow and cross-flow turbine concepts." Journal of Wind Engineering and Industrial Aerodynamics 165 (2017): 137-152. https://doi.org/10.1016/j.jweia.2017.03.010

Aghsaee, Payam, and Corey D. Markfort. "Effects of flow depth variations on the wake recovery behind a horizontal-axis hydrokinetic in-stream turbine." Renewable Energy 125 (2018): 620-629. https://doi.org/10.1016/j.renene.2018.02.137

Shiu, Henry, C. P. Van Dam, Erick Johnson, Matthew Barone, Ryan Phillips, William Straka, Arnold Fontaine, and Michael Jonson. "A design of a hydrofoil family for current-driven marine-hydrokinetic turbines." In International Conference on Nuclear Engineering, vol. 44984, pp. 839-847. American Society of Mechanical Engineers, 2012. https://doi.org/10.1115/ICONE20-POWER2012-55224

Silva, Paulo ASF, TAYGOARA F. OLIVEIRA, Antonio CP Brasil Junior, and Jerson RP Vaz. "Numerical study of wake characteristics in a horizontal-axis hydrokinetic turbine." Anais da Academia Brasileira de Ciências 88, no. 4 (2016): 2441-2456. https://doi.org/10.1590/0001-3765201620150652

Kolekar, Nitin, Suchi Subhra Mukherji, and Arindam Banerjee. "Numerical modeling and optimization of hydrokinetic turbine." In Energy Sustainability, vol. 54686, pp. 1211-1218. 2011. https://doi.org/10.1115/ES2011-54252

Allafi, Waleed Almukhtar, Fatimah Al Zahrah Mohd Saat, and Xiaoan Mao. "Fluid dynamics of oscillatory flow across parallel-plates in standing-wave thermoacoustic system with two different operation frequencies." Engineering Science and Technology, an International Journal 24, no. 1 (2021): 41-49. https://doi.org/10.1016/j.jestch.2020.12.008

Ng, Yu Han, Wah Yen Tey, Lit Ken Tan, Gerald Pacaba Arada, and M. W. Muhieldeen. "Numerical Examination on Two-Equations Turbulence Models for Flow Across NACA 0012 Airfoil with Different Angle of Attack." CFD Letters 12, no. 2 (2020): 22-45.

Lin, Chou Aw, Fatimah Al-Zahrah Mohd Sa’at, Fadhilah Shikh Anuar, Mohamad Firdaus Sukri, Mohd Zaid Akop, and Zainuddin Abdul Manan. "Heat Transfer Across Tube Banks With a Passive Control Vortex Generator in Steady One-Directional and Oscillatory Flows." CFD Letters 13, no. 1 (2021): 1-18. https://doi.org/10.37934/cfdl.13.1.118.

Fluent, A. N. S. Y. S. "ANSYS fluent theory guide 15.0." ANSYS, Canonsburg, PA 33 (2013).

Ramayee, L., and K. Supradeepan. "Grid convergence study on flow past a circular cylinder for beginners." In AIP Conference Proceedings, vol. 2317, no. 1, p. 030020. AIP Publishing LLC, 2021. https://doi.org/10.1063/5.0036230

Gomez-Elvira, Rafael, Antonio Crespo, Emilio Migoya, Fernando Manuel, and Julio Hernández. "Anisotropy of turbulence in wind turbine wakes." Journal of wind engineering and industrial aerodynamics 93, no. 10 (2005): 797-814. https://doi.org/10.1016/j.jweia.2005.08.001

Welty, James, Gregory L. Rorrer, and David G. Foster. Fundamentals of momentum, heat, and mass transfer. John Wiley & Sons, 2020.