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Three-dimensional experiment and numerical simulation of the discharge performance of sluice passageway for tidal power plant

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  • Oh, Sang-Ho
  • Lee, Kwang Soo
  • Jeong, Weon-Mu

Abstract

In this study, the discharge performance of the sluice passageway of tidal power plants was investigated based on the experiments conducted in a planar open channel and three-dimensional numerical simulations. By conducting the experiments in a planar channel, it was possible to reproduce the three-dimensional flow field around the sluice passageways similar to the field condition. The discharge capability of the passageway was estimated under various flow conditions with five different channel bathymetries. The estimates of the discharge coefficient generally ranged from 1.3 to 1.45, which are significantly smaller than the values obtained from the previous study based on the two-dimensional experiment. In addition, the experimental results showed a considerable difference in the discharge coefficient among the test cases, demonstrating an apparent influence of channel bed topography on the discharge performance. Based on an intensive parametric study carried out using the numerical simulations, an optimal configuration of the width, slope, and bottom length of the apron section was suggested for maximizing the discharge capability of the sluice passageway.

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  • Oh, Sang-Ho & Lee, Kwang Soo & Jeong, Weon-Mu, 2016. "Three-dimensional experiment and numerical simulation of the discharge performance of sluice passageway for tidal power plant," Renewable Energy, Elsevier, vol. 92(C), pages 462-473.
    • Handle: RePEc:eee:renene:v:92:y:2016:i:c:p:462-473
    DOI: 10.1016/j.renene.2016.02.023
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    References listed on IDEAS

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    1. Lee, Dal Soo & Oh, Sang-Ho & Yi, Jin-Hak & Park, Woo-Sun & Cho, Hyu-Sang & Kim, Duk-Gu & Eom, Hyun-Min & Ahn, Suk-Jin, 2010. "Experimental investigation on the relationship between sluice caisson shape of tidal power plant and the water discharge capability," Renewable Energy, Elsevier, vol. 35(10), pages 2243-2256.
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    4. Xia, Junqiang & Falconer, Roger A. & Lin, Binliang & Tan, Guangming, 2012. "Estimation of annual energy output from a tidal barrage using two different methods," Applied Energy, Elsevier, vol. 93(C), pages 327-336.
    5. Kim, Gunwoo & Lee, Myung Eun & Lee, Kwang Soo & Park, Jin-Soon & Jeong, Weon Mu & Kang, Sok Kuh & Soh, Jae-Gwi & Kim, Hanna, 2012. "An overview of ocean renewable energy resources in Korea," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(4), pages 2278-2288.
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    Cited by:

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    3. Neill, Simon P. & Angeloudis, Athanasios & Robins, Peter E. & Walkington, Ian & Ward, Sophie L. & Masters, Ian & Lewis, Matt J. & Piano, Marco & Avdis, Alexandros & Piggott, Matthew D. & Aggidis, Geor, 2018. "Tidal range energy resource and optimization – Past perspectives and future challenges," Renewable Energy, Elsevier, vol. 127(C), pages 763-778.
    4. Angeloudis, Athanasios & Kramer, Stephan C. & Avdis, Alexandros & Piggott, Matthew D., 2018. "Optimising tidal range power plant operation," Applied Energy, Elsevier, vol. 212(C), pages 680-690.
    5. Kim, J.W. & Woo, S.-B., 2023. "A numerical approach to the treatment of submerged water exchange processes through the sluice gates of a tidal power plant," Renewable Energy, Elsevier, vol. 219(P1).
    6. Ahn, Soo-Hwang & Zhou, Xuezhi & He, Lingyan & Luo, Yongyao & Wang, Zhengwei, 2020. "Numerical estimation of prototype hydraulic efficiency in a low head power station based on gross head conditions," Renewable Energy, Elsevier, vol. 153(C), pages 175-181.

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