论文标题
M4机器在两个充满活力的开放海域的波浪发电的可变性:西澳大利亚州奥尔巴尼和英国奥克尼EMEC附近
Variability of wave power production of the M4 machine at two energetic open ocean locations: off Albany, Western Australia and at EMEC, Orkney, UK
论文作者
论文摘要
由于间歇性和高度可变的电源是不受欢迎的,因此通过评估潜在部署位点的评估,量化波能转换器(WEC)辅助的功率屈服波动。本文对M4 WEC的功率输出的3小时,每月,季节性和年际变化进行了分析。我们比较了两个波能源热点部署的预期表现:澳大利亚西南海岸的奥尔巴尼和英国奥克尼的欧洲海洋能源中心(EMEC)。我们使用多十年的波后播数据来预测M4 WEC机器将生成的功率。 M4机器作为一种浮动铰接式设备,可根据局部波气候的特征波长进行大小,从而从铰链上提取能量。使用概率分布,生产持续时间曲线和变异系数,与奥尔巴尼相比,奥克尼的3小时功率产量的变异性更大。在更长的时间尺度上,通过平均每月功率值来突出季节性趋势。从供应角度的连续性中,我们研究了在三个不同阈值水平下产生低生产的发生,并计算此类事件的持续时间和可能性。发现Orkney患有更持久的低点,导致更间歇性的功率输出。我们还考虑机器尺寸对其功率性能的影响。发现较小的机器可以更有效地平滑基础波资源的随机性质。
Since intermittent and highly variable power supply is undesirable, quantifying power yield fluctuations of wave energy converters (WECs) aids with assessment of potential deployment sites. This paper presents analysis of 3-hourly, monthly, seasonal, and inter-annual variability of power output of the M4 WEC. We compare expected performance from deployment at two wave energy hotspots: off Albany on the south-western coast of Australia and off the European Marine Energy Centre (EMEC) at Orkney, UK. We use multi-decadal wave hindcast data to predict the power that would have been generated by M4 WEC machines. The M4 machine, as a floating articulated device which extracts energy from flexing motion about a hinge, is sized according to a characteristic wavelength of the local wave climate. Using probability distributions, production duration curves, and coefficients of variation we demonstrate larger variability of the 3-hourly power yield at Orkney compared to Albany. At longer timescales, seasonal trends are highlighted through average monthly power values. From a continuity of supply perspective, we investigate occurrences of low production at three different threshold levels and calculate duration and likelihood of such events. Orkney is found to suffer from more persistent lows, causing a more intermittent power output. We also consider the effect of machine size on its power performance. Smaller machines are found to more effectively smooth out the stochastic nature of the underlying wave resource.