利用温度传感器测量水下U-OWC捕获的能量通量的方法

L. Gurnari, Filippo Ruffa, M. Lugarà, Gaetano Fulco, P. Filianoti
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However, no information about the accuracy of the temperature sensors and consequently about the errors in estimation of the energy flux were provided. \nIn this work, following the procedure described by [1] and [2], we have analysed the influence of the time response of the temperature sensor in evaluating the variation of the air volume inside the chamber and, consequently the energy captured by the plant. To this aim, the submerged U-OWC, tested directly at sea in [1], has been simulated numerically. The aim of the numerical experiment is having the actual estimation of the air temperature inside the plenum and trough it, the captured energy flux. 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引用次数: 0

摘要

波浪能转换器(WEC)装置捕获功率的估算需要计算电站效率。一般情况下,有必要同时测量装置内流体运动的压力波动和流量波动。不幸的是,用于直接测量速度的仪表体积庞大,无法提供精确的测量,特别是在具有u型导管的转换器上,速度传感器的存在会对运动场产生相关的干扰。为了克服这个问题,[1]和[2]提出了一种利用压力波动和静压室内空气温度来评估捕获能量通量的替代方法。但是,没有提供有关温度传感器精度的信息,因此也没有提供有关能量通量估计误差的信息。在这项工作中,按照[1]和[2]所描述的程序,我们分析了温度传感器的时间响应对评估室内风量变化的影响,从而分析了植物捕获的能量。为此,在[1]中进行了水下U-OWC直接海上试验,并对其进行了数值模拟。数值实验的目的是实际估计充气室内的空气温度和通过它捕获的能量通量。计算域由一个波浪水槽组成,其左端是活塞式造波器,中间是嵌入U-OWC装置的水下防波堤。二维非定常数值模拟基于欧拉法,使用商业代码Ansys Fluent v17.0,学术版。从压力波动的知识上的垂直管,压力和温度变化的空气在全会,我们评估了能量流被植物吸收和校准中使用的数学模型[1]和[2],使用作为输入压力波动的时间序列上的垂直管和空气的温度和压力的变化在室。然后,利用实际空气温度的时间序列,我们模拟了几个以不同时间常数t为特征的一阶温度传感器的输入,并分析了能量通量作为t函数的百分比差异。我们观察到,静压室内温度的测量受到传感器时间常数的强烈影响,这在评估捕获的能量通量时产生了很大的误差。最后,我们提出了一种调节空气温度测量的方法,得到了一个很好的能量流估计。博科蒂,P. (2003)“一种新型波浪能吸收器”,海洋工程30(9),pp. 1191-1200。Arena, F., Filianoti, P.(2007),“水下防波堤吸收波浪能的小型现场试验”,水路,港口,海岸与海洋工程学报,2007,133(2),pp. 161-167。
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Methodology to measure the energy flux captured by a submerged U-OWC by using temperature sensors
The estimation of the power captured by a wave energy converters (WEC) device, needs to calculate the plant efficiency. In general, it is necessary to measure both the pressure and the discharge fluctuations of the fluid motion inside the plant. Unfortunately, gauges for the direct measurement of the velocity are bulky and provide punctual measures and, especially on converters having a U-duct, the presence of the velocity sensor produces a relevant disturbance on the motion field. To overcome this issue, an alternative method to evaluate the captured energy flux, using the pressure fluctuation and the air temperature inside the plenum, was proposed by [1] and [2]. However, no information about the accuracy of the temperature sensors and consequently about the errors in estimation of the energy flux were provided. In this work, following the procedure described by [1] and [2], we have analysed the influence of the time response of the temperature sensor in evaluating the variation of the air volume inside the chamber and, consequently the energy captured by the plant. To this aim, the submerged U-OWC, tested directly at sea in [1], has been simulated numerically. The aim of the numerical experiment is having the actual estimation of the air temperature inside the plenum and trough it, the captured energy flux. The computational domain is constituted by a wave-flume, with a piston-type wavemaker, placed at the left extremity and a submerged breakwater embedded a U-OWC plant, in the middle.  The numerical 2D unsteady simulation is based on the Eulerian approach, using the commercial code Ansys Fluent v17.0, Academic Version. Starting from the knowledge of the pressure fluctuation at the upper opening of the vertical duct and, of both pressure and temperature variations of the air in the plenum, we have evaluated the energy flux absorbed by the plant and we have calibrated the mathematical model used in [1] and [2], using as input the time series of the pressure fluctuations at the upper opening of the vertical duct, and the variation of both temperature and pressure of the air inside the chamber. Then, using the time series of the actual air temperature, we have simulated the input of several first order temperature sensors characterized by different time constant t, and we have analysed the percentage differences in term of energy flux as a function of t. We have observed that the measurements of the temperature inside the plenum are strongly affected by time constant of the sensor, which produce large errors in the evaluation of the captured energy flux. Finally, we have proposed a method for conditioning the measure of the air temperature, obtaining an excellent estimation of the energy flux. Boccotti, P. (2003)      "On a new wave energy absorber"Ocean Engineering 30(9), pp. 1191-1200. Arena, F., Filianoti, P. (2007),"Small-scale field experiment on a submerged breakwater for absorbing wave energy", Journal of Waterway, Port, Coastal and Ocean Engineering, 2007, 133(2), pp. 161–167.
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