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An OpenFOAM based study of Savonius turbine arrays in tunnels for power maximisation

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  • Bethi, Rajagopal Vinod
  • Mitra, Santanu
  • Kumar, Pankaj

Abstract

There has been a significant disruption in the energy market because of the pandemic. Now the focus is shifting towards investing more in renewable energy to address the present health and energy crisis. Wind power has gained special prominence in our clean energy transition as wind energy is the easiest to harvest, most efficient resources, and lowest carbon emitter among the available technologies. The prime focus of this study is towards implementing an array configuration of Savonius turbines beside the train track to maximize the power production. A model is set up on OpenFOAM platform and studied for the different arrangements of turbine clusters. The effect of energy production by the series of turbines was assessed by varying distance among turbines in a staggered or inline manner and the location from the train as well. A systematic characterization of the optimum Savonius turbine cluster in a railway tunnel, which is relatively an unexplored area in the energy harvesting community, has been taken up in this study. It is exciting to note that our computer-oriented result matches well with the benchmark solution and proved to be a viable green energy resource that can possibly erase the energy crisis at remote places.

Suggested Citation

  • Bethi, Rajagopal Vinod & Mitra, Santanu & Kumar, Pankaj, 2021. "An OpenFOAM based study of Savonius turbine arrays in tunnels for power maximisation," Renewable Energy, Elsevier, vol. 179(C), pages 1345-1359.
    • Handle: RePEc:eee:renene:v:179:y:2021:i:c:p:1345-1359
    DOI: 10.1016/j.renene.2021.07.071
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    References listed on IDEAS

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    1. Afungchui, David & Kamoun, Badreddinne & Helali, Ali, 2014. "Vortical structures in the wake of the savonius wind turbine by the discrete vortex method," Renewable Energy, Elsevier, vol. 69(C), pages 174-179.
    2. Bethi, Rajagopal Vinod & Laws, Praveen & Kumar, Pankaj & Mitra, Santanu, 2019. "Modified Savonius wind turbine for harvesting wind energy from trains moving in tunnels," Renewable Energy, Elsevier, vol. 135(C), pages 1056-1063.
    3. Ahmadian, Reza & Falconer, Roger & Bockelmann-Evans, Bettina, 2012. "Far-field modelling of the hydro-environmental impact of tidal stream turbines," Renewable Energy, Elsevier, vol. 38(1), pages 107-116.
    4. Chowdhury, Souma & Zhang, Jie & Messac, Achille & Castillo, Luciano, 2012. "Unrestricted wind farm layout optimization (UWFLO): Investigating key factors influencing the maximum power generation," Renewable Energy, Elsevier, vol. 38(1), pages 16-30.
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    Cited by:

    1. Rengma, Thochi Seb & Subbarao, P.M.V., 2022. "Optimization of semicircular blade profile of Savonius hydrokinetic turbine using artificial neural network," Renewable Energy, Elsevier, vol. 200(C), pages 658-673.
    2. Chen, Yunrui & Guo, Penghua & Zhang, Dayu & Chai, Kaixin & Zhao, Chenxi & Li, Jingyin, 2022. "Power improvement of a cluster of three Savonius wind turbines using the variable-speed control method," Renewable Energy, Elsevier, vol. 193(C), pages 832-842.

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