The performance of the three-float M4 wave energy converter off Albany, on the south coast of western Australia, compared to Orkney (EMEC) in the U.K.
The performance of the three-float M4 wave energy converter off Albany, on the south coast of western Australia, compared to Orkney (EMEC) in the U.K.
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DOI：
10.1016/j.renene.2019.06.146
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发表时间：
2020-02
期刊：
影响因子：
8.7
通讯作者：
H. Santo;P. Taylor;P. Stansby
中科院分区：
文献类型：
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作者：
H. Santo;P. Taylor;P. Stansby
在这项研究中，我们比较波的气候和波能转换的两个充满活力，但完全不同的网站的奥尔巴尼和奥克尼的潜力。能量捕获基于具有明确特征的M4机器。M4机器是一个具有3个浮子的自反应系统，从上方观察时，每个浮子都具有圆形横截面。较小的两个浮子通过梁刚性连接，最大的浮子通过带铰链的梁连接到中间浮子。机器通过中间浮子上方的铰链的相对角运动产生动力。机器性能先前针对北大西洋东部的各个位置进行了评估，包括苏格兰奥克尼群岛以西的欧洲海洋能源中心（EMEC）站点，用于波能输出（Santo等人，2016 a）和极端反应（Santo et al.，2017年）。在这项研究中，我们将分析的位置关闭奥尔巴尼南海岸的西澳大利亚州，一个地区众所周知的几乎连续暴露于长期膨胀。我们使用澳大利亚交通部（DOT）在2009 - 2017年期间在60米水域测量的波浪浮标数据。每小时的数据接近连续，但包含一些间隙，对应于总持续时间的0.13%，这些间隙被修补以形成连续波记录。根据平均波周期确定机器大小后，使用基于风暴的识别和峰值阈值技术进行极端波高统计分析，遵循Santo等人的方法。（2016 b），提供与该位置处的任何波浪能转换器相关的信息。从可操作性和动力方案的经济性，我们然后比较机器的最佳尺寸，实际的功率输出和相关的变化，由一个M4机在奥尔巴尼到开放的北大西洋位置奥克尼群岛。这是用Santo et al.（2016 a）中所描述的。对于生存能力，重要的是要识别机器运动的极端情况。因此，极端的反应，也比较了中心铰链角的机器在生存模式与动力输出关闭。我们发现奥尔巴尼需要一台大得多的机器，因为与奥克尼相比波浪更长。然而，在两个非常不同的位置，功率/成本比是相似的。
In this study we compare wave climates and their potential for wave energy conversion for the two energetic but quite different sites of Albany and Orkney. Energy capture is based on the M4 machine with well defined characteristics. The M4 machine is a self reacting system with 3 floats, each float with a circular cross-section when viewed from above. The smaller two floats are rigidly connected by a beam, and the largest float is connected to the mid float by a beam with a hinge. The machine generates power through the relative angular motion of this hinge above the middle float. The machine performance was previously assessed for various locations in the eastern North Atlantic including the European Marine Energy Centre (EMEC) site west of the Orkney Islands, Scotland, for wave power output (Santo et al., 2016a) and extreme response (Santo et al., 2017). In this study, we apply the analysis to a location off Albany on the south coast of western Australia, an area well-known for almost continuous exposure to long period swells. We use Australian Department of Transport (DOT) wave buoy data measured in 60 m of water over the period 2009− 2017. The hourly data is close to continuous but contains some gaps corresponding to∼ 13% of the total duration, these are patched to form a continuous wave record. Having sized the machine based on mean wave period, extreme wave height statistical analysis is performed using storm-based identification and a peaks-over-threshold technique, following Santo et al.(2016b), providing information relevant for any wave energy converter at the location. From operability and power scheme economics, we then compare the optimal size of machine, practical power output and the associated variability in power produced by an M4 machine at Albany to the open North Atlantic location off the Orkneys. This is performed with the methodology outlined in Santo et al.(2016a). For survivability, it is important to identify extremes of machine motion. Hence, extreme responses are also compared for the central hinge angle of the machine in survival mode with the power take-off turned off. We find that a much larger machine is required at Albany, because of the longer waves compared to Orkney. However, at the two very different locations the power/cost ratios are similar.