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首页> 外文期刊>Journal of ocean engineering and marine energy >Marine current energy estimation using the generalized gamma distribution: a case study for the upper layer of the Dardanelles Strait
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Marine current energy estimation using the generalized gamma distribution: a case study for the upper layer of the Dardanelles Strait

机译：当前海洋能源评估使用广义伽马分布:一个案例研究上层的达达尼尔海峡海峡

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Sea currents could produce as much energy as wind currents because the average density of the oceans is about 850 times greater than that of air. Being able to accurately predict current power data is of critical importance in extracting the renewable energy potential of a specific ocean region. However, the classical power prediction formulas do not take into account the fluctuations around the mean, or turbulence. Because ocean currents are turbulent, a greater understanding of the existence of turbulence is a key factor in current power estimations. This paper principally investigates the use of the generalized gamma distribution in developing a new current power prediction formula that takes into account deviations from the mean. In addition, mean power and energy fluxes are calculated with the developed formula for the upper layers of the ocean (between 0 and 20 m) at the southern outlet of the Dardanelles as a case study. To estimate mean power and energy fluxes, 3-year hourly time series data with an average current speed of 0.381 m/s are used. Finally, the mean power and the energy fluxes are estimated to be 46.45 W/m(2) and 407.23 kWh/m(2)/year, respectively.
机译：海洋洋流可能产生尽可能多的能量电流的平均密度海洋的850倍空气中。电力数据是至关重要的提取的可再生能源潜力特定的海洋地区。权力不预测公式账户的意思,周围的波动或动荡。的存在更大的理解湍流是一个关键因素在当前的权力估计。使用广义伽马分布开发一种新的电流功率预测公式考虑偏差的意思。此外,平均功率和能量通量与发达的公式计算上层海洋(0至20米)达达尼尔海峡的南部出口为例研究。3年,平均每小时的时间序列数据使用当前的速度0.381米/秒。平均功率和能量通量估计是46.45 W / m(2)和407.23千瓦时/ m(2) /年,分别。

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