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Experimental investigation on the relationship between sluice caisson shape of tidal power plant and the water discharge capability

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  • Lee, Dal Soo
  • Oh, Sang-Ho
  • Yi, Jin-Hak
  • Park, Woo-Sun
  • Cho, Hyu-Sang
  • Kim, Duk-Gu
  • Eom, Hyun-Min
  • Ahn, Suk-Jin

Abstract

The change of water discharge capability of the sluice caisson of tidal power plant according to the change of geometrical shape of the sluice caisson was investigated by performing laboratory experiments. The major design parameters that constitute general shape of the sluice caisson were deduced and a total of 32 different shapes of sluice caisson models were subjected to the hydraulic experiments. For every sluice caisson model, the water discharge capability was estimated with five different flow rates and three different water level conditions. The experiments were carried out in an open channel flume with a great care to measure flow rate and water level accurately, which are key physical quantities in estimating the water discharge capability of the sluice caisson models. By analyzing the experimental results, influence of the respective design parameters on the performance of the sluice caisson was examined and the general guidelines to enhance the water discharge capability were suggested. The discharge coefficient of the best sluice caisson model ranged from 2.3 to 3.1 depending on the experimental conditions, which is far higher than the values that were adopted in the past feasibility studies in Korea.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:35:y:2010:i:10:p:2243-2256
    DOI: 10.1016/j.renene.2010.02.018
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    References listed on IDEAS

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    Cited by:

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    2. Luo, Yongyao & Wang, Zhengwei & Liu, Xin & Xiao, Yexiang & Chen, Changkun & Wang, Haoping & Yan, Jianhua, 2015. "Numerical prediction of pressure pulsation for a low head bidirectional tidal bulb turbine," Energy, Elsevier, vol. 89(C), pages 730-738.
    3. 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.
    4. Obara, Shin’ya & Morizane, Yuta & Morel, Jorge, 2013. "Study on method of electricity and heat storage planning based on energy demand and tidal flow velocity forecasts for a tidal microgrid," Applied Energy, Elsevier, vol. 111(C), pages 358-373.
    5. 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.
    6. 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.

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