A model to map levelised cost of energy for wave energy projects
A model to map levelised cost of energy for wave energy projects
复制标题
绘制波浪能项目平准化能源成本的模型
DOI：
10.1016/j.oceaneng.2017.09.063
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发表时间：
2017
影响因子：
5
通讯作者：
L. Johanning
中科院分区：
文献类型：
--
作者：
Ciaran Frost;D. Findlay;E. Macpherson;P. Sayer;L. Johanning
建立了一个经济模型，该模型允许在图形信息系统(GIS)软件中计算和绘制海浪能量水平成本(LCOE)的空间相关性。计算是在定义后投波数据的点的范围内进行的；这些数据是从波浪传播模型中获得的，如模拟近岸波浪(SWAN)。MetOcean数据的时间序列被内插到设备功率矩阵中，从而在每个位置获得能量生产。空间成本是使用Dijkstra算法计算的，以找出从其推断成本的点之间的距离。其中包括出口电缆和操作，后者也是通过统计估计天气窗口等待时间来计算的。以苏格兰西岛为例，使用设备开发商提供的真实数据，进行了案例研究。结果表明，对于被检测的小规模设备，最低的LCOE热点出现在Minches。这一区域相对隐蔽，这表明性能是特定于设备的，并不总是与能源最高的区域相对应。进行了敏感性研究，考察了切入和切出有效波高对LCOE的影响，以及月份对安装成本的影响。结果表明，这些参数的影响是高度位置特定的。
An economic model has been developed which allows the spatial dependence of wave energy levelised cost of energy (LCOE) to be calculated and mapped in graphical information system (GIS) software. Calculation is performed across a domain of points which define hindcast wave data; these data are obtained from wave propagation models like Simulating WAves Nearshore (SWAN). Time series of metocean data are interpolated across a device power matrix, obtaining energy production at every location. Spatial costs are calculated using Dijkstra's algorithm, to find distances between points from which costs are inferred. These include the export cable and operations, the latter also calculated by statistically estimating weather window waiting time. A case study is presented, considering the Scottish Western Isles and using real data from a device developer. Results indicate that, for the small scale device examined, the lowest LCOE hotspots occur in the Minches. This area is relatively sheltered, showing that performance is device specific and does not always correspond to the areas of highest energy resource. Sensitivity studies are performed, examining the effects of cut-in and cut-out significant wave height on LCOE, and month on installation cost. The results show that the impact of these parameters is highly location-specific.
影响因子：
8.7
作者：
Cavazzi, S.;Dutton, A. G.
通讯作者：
Dutton, A. G.
计算天气窗口：在运输、安装中的应用以及对部署成功的影响
影响因子：
5
作者：
Walker R
通讯作者：
Walker R
影响因子：
9
作者：
Allan, Grant;Gilmartin, Michelle;Swales, Kim
通讯作者：
Swales, Kim