DOI: https://doi.org/10.14710/kapal.v21i2.62391

Potential Wind Energy Analysis in Maluku Region with Savonius Turbine using CFD Approach

Jandri Louhenapessy  -  Department of Mechanical Engineering, Faculty of Engineering, Univerisitas Pattimura, Ambon, Indonesia, 97234, Indonesia
Antoni Simanjuntak  -  Department of Mechanical Engineering, Faculty of Engineering, Univerisitas Pattimura, Ambon, Indonesia, 97234, Indonesia
*Richard Benny Luhulima orcid scopus  -  Department of Naval Architecture, Universitas Pattimura, Jl. Ir. M. Putuhena, Poka, Tlk. Ambon, Kota Ambon, Maluku, Indonesia
Open Access Copyright (c) 2024 Kapal: Jurnal Ilmu Pengetahuan dan Teknologi Kelautan
Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

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Abstract

The Maluku region, also known as the Moluccas, is an archipelago in Indonesia with exceptional wind patterns ideal for wind power generation. Its strategic location between the Pacific and Indian Oceans creates strong and consistent winds due to temperature differences, making it an optimal site for wind energy production. Harnessing wind power in Maluku can significantly benefit Indonesia and the global renewable energy sector by providing a reliable and sustainable energy source to reduce greenhouse gas emissions and combat climate change. Furthermore, the development of wind power in Maluku could create new economic opportunities and incentives for the local community, promoting sustainable development and reducing the reliance on fossil fuels. A study was conducted to assess the viability of wind energy in Maluku, utilizing a Sonius turbine and computational fluid dynamics (CFD) methodology. By varying the center distance between the Savonius blade radius and its rotational axis, researchers aimed to optimize the turbine's design for maximum energy extraction. The simulations showed that turbine model design significantly impacts performance, with Model 2 outperforming Model 1 due to smoother airflow and more efficient rotation. The pressure distribution on the semicircular blades also influenced turbine performance, with Model 1 producing higher force but slower rotation speed compared to Model 2. The simulations showed that Turbine Model 1 produced a higher average force and power output compared to Turbine Model 2. According to the simulations, Model 1 showcased a higher average power output of 66.5 Watts, while Turbine Model 2 only achieved 46.6 Watts. However, Turbine Model 1 had a slower rotation speed due to its larger radius. Under consistent wind conditions, Turbine Model 1 was capable of producing 5.5% more energy than Turbine Model 2. Choosing an efficient turbine model is crucial for maximising the energy production from wind resources. The findings from this study contribute to a comprehensive understanding of the turbine's behavior and can aid in optimizing its design for maximum energy extraction.

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Section: Research Articles
Language : EN
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  1. H. D. Puspitarini, “Beyond 443 GW: Indonesia’s infinite renewables energy potentials,” Jakarta, Oct. 2021
  2. M. A. Kamoji, S. B. Kedare, and S. V. Prabhu, “Performance tests on helical Savonius rotors,” Renew. Energy, vol. 34, no. 3, pp. 521–529, Mar. 2009, doi: 10.1016/j.renene.2008.06.002
  3. M. B. Salleh, N. M. Kamaruddin, Z. Mohamed-Kassim, and E. A. Bakar, “Experimental investigation on the characterization of self-starting capability of a 3-bladed Savonius hydrokinetic turbine using deflector plates,” Ocean Eng., vol. 228, May 2021, doi: 10.1016/j.oceaneng.2021.108950
  4. M. H. Mohamed, G. Janiga, E. Pap, and D. Thèvenin, “Optimization of Savonius turbines using an obstacle shielding the returning blade,” Renew. Energy, vol. 35, no. 11, pp. 2618–2626, Nov. 2010, doi: 10.1016/j.renene.2010.04.007
  5. M. Tartuferi, V. D’Alessandro, S. Montelpare, and R. Ricci, “Enhancement of savonius wind rotor aerodynamic performance: A computational study of new blade shapes and curtain systems,” Energy, vol. 79, no. C, pp. 371–384, 2015, doi: 10.1016/j.energy.2014.11.023
  6. J.-L. Menet, “Aerodynamic Behaviour of a New Type of Slow-Running VAWT,” Wind Energy, pp. 235–240, 2007, doi: 10.1007/978-3-540-33866-6_43
  7. A. Ramadan, M. Hemida, W. A. Abdel-Fadeel, W. A. Aissa, and M. H. Mohamed, “Comprehensive experimental and numerical assessment of a drag turbine for river hydrokinetic energy conversion,” Ocean Eng., vol. 227, May 2021, doi: 10.1016/j.oceaneng.2021.108587
  8. B. Belkacem and M. Paraschivoiu, “CFD Analysis of a Finite Linear Array of Savonius Wind Turbines,” J. Phys. Conf. Ser., vol. 753, no. 10, Oct. 2016, doi: 10.1088/1742-6596/753/10/102008
  9. W. Shi, M. Atlar, R. Norman, B. Aktas, and S. Turkmen, “Numerical optimization and experimental validation for a tidal turbine blade with leading-edge tubercles,” Renew. Energy, vol. 96, pp. 42–55, Oct. 2016, doi: 10.1016/J.RENENE.2016.04.064
  10. F. R. Menter, “Two-equation eddy-viscosity turbulence models for engineering applications,” AIAA J., vol. 32, no. 8, pp. 1598–1605, Aug. 1994, doi: 10.2514/3.12149
  11. F. R. Menter, M. Kuntz, and R. Langtry, “Ten Years of Industrial Experience with the SST Turbulence Model,” in 4th Internal Symposium, Turbulence, heat and mass transfer, 2003, pp. 625–632
  12. I. K. A. P. Utama, W. D. Aryawan, A. Nasirudin, Sutiyo, and Yanuar, “Numerical Investigation into the Pressure and Flow Velocity Distributions of a Slender-Body Catamaran Due to Viscous Interference Effects,” Int. J. Technol., vol. 12, no. 1, p. 149, Jan. 2021, doi: 10.14716/ijtech.v12i1.4269
  13. F. zhi Zeng, J. ping Li, Y. Wang, M. Sun, and C. Yan, “Parametric uncertainty quantification of SST turbulence model for a shock train and pseudo-shock phenomenon,” Acta Astronaut., vol. 196, pp. 290–302, Jul. 2022, doi: 10.1016/J.ACTAASTRO.2022.05.002
  14. globalwindatlas.info, “Global Wind Atlas: MAluku Area, Indonesia,” Global Wind Atlas, 2024. https://globalwindatlas.info/en/area/Indonesia/Maluku (accessed Feb. 10, 2024)

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