B. Robertson, Gabrielle Dunkle, T. Mundon, L. Kilcher
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引用次数: 0
摘要
随着波浪能行业的发展和蓝色经济的商业化机会,迫切需要清楚地了解和量化波浪能转换器(WEC)规模和波浪资源特征对年度能源生产、空间变异性和时间变异性的耦合影响。利用Oscilla Power Triton WEC的通用频域表示以及PacWave(俄勒冈州)、洛杉矶(加利福尼亚州)和WETS(夏威夷州)的谱波条件,出现了一系列有趣的结果。首先,从能量的角度来看,“最佳”WEC大小从根本上取决于入射波方差密度谱的频率分布。其次,从季节性的角度来看,季节性WEC发电不一定遵循总波浪功率的季节性分布。最后,从每小时功率可变性的角度来看,WEC大小的减小通常会降低可变性。然而,对于所调查的每个地点,似乎都有一个WEC大小阈值;阈值,其中进一步减小WEC大小导致增加的功率可变性。
Wave resource spatial and temporal variability dependence on WEC size
As the wave energy sector grows and looks to the Blue Economy for commercialization opportunities, there is a distinct and pressing need to clearly understand and quantify the coupled impacts of wave energy converter (WEC) size and wave resource characteristics on the annual energy production, spatial variability and temporal variability. Utilizing generic frequency domain representations of the Oscilla Power Triton WEC and spectral wave conditions at PacWave (Oregon), Los Angeles (California) and WETS (Hawaii), a series of interesting results emerge. Firstly, the ‘optimal’ WEC size, from an energy standpoint, is fundamentally dependent on the frequency distribution of the incoming wave variance density spectrum. Secondly, and from a seasonality perspective, the seasonal WEC energy generation doesn’t necessarily follow the seasonal distribution of gross wave power. Finally, from an hourly power variability perspective, a reduction in WEC size generally decreases variability. However, for each of the locations investigated, there appears to be a WEC size threshold; a threshold where further reducing WEC size results in increased power variability.