Wave energy resource evaluation and characterisation for the Libyan Sea

George Lavidas , Vengatesan Venugopal
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引用次数: 17

Abstract

The study focuses on a high resolution coastal assessment for the Libyan Sea at the South-West Mediterranean. To date majority of information for the area, are based on large scale oceanic models with coarse resolutions not adequate for nearshore assessments. This dataset and analysis provides an in-depth wave energy resource assessment and detail dissemination of sites according to their metocean characteristics. Identification for wave energy is based on the database constructed, allowing the quantification of energy levels and resource implications at sites.

Mean values of wave heights around the coastlines are 1m, though high storm events exceed 5 m at several areas. Highest wave energy resources are located at open coastal areas, with energetic months reaching up to 10 kW/m. Low energy seasons are found throughout summer months, where energy content is reduced threefold. The resource can be classified as low, however the coefficient of variation suggests a predictable resource with extreme events not expected to surpass 10 m.

Although, resource is not as energetic as open oceanic regions the low variations may assist wave energy as a supporting renewable energy option. Assessing the wave climate around the coasts for a long period of time can also provide confident and robust suggestions on the selection for wave energy converters. In addition, lower extreme events are expected to reduce potential installations costs by lowering structural expenditure and strengthening works to facilitate operation at milder environments.

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利比亚海波浪能资源评价与表征
这项研究的重点是对地中海西南部利比亚海的高分辨率海岸评估。到目前为止,该地区的大部分信息都是基于大尺度海洋模型,其粗糙分辨率不足以进行近岸评估。该数据集和分析提供了深入的波浪能资源评估和根据其气象海洋特征的详细站点传播。波浪能的识别是基于所建立的数据库,可以量化能量水平和对地点资源的影响。海岸线附近的浪高平均值约为1米,尽管一些地区的高风暴事件超过5米。最高的波浪能资源位于沿海开阔地区,能量月可达10千瓦/米。低能量季节贯穿整个夏季,能量含量减少了三分之一。该资源可归类为低,但变异系数表明,极端事件的可预测资源预计不会超过10米。虽然资源不像开放的海洋地区那样充满活力,但低变化可能有助于波浪能作为一种支持可再生能源的选择。对海岸周围波浪气候的长期评估也可以为波浪能转换器的选择提供可靠和有力的建议。此外,通过降低结构支出和加强工程以促进在较温和环境下的操作,预计较低的极端事件将降低潜在的安装成本。
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