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A systematic approach for selecting suitable wave energy converters for potential wave energy farm sites

机译:一种为潜在波能源场所选择合适的波能转换器的系统方法

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摘要

The ocean covers approximately 70% of the earth's surface and contains an immense source of renewable energy, in terms of ocean waves. However, this resource is unevenly distributed throughout the world, and so, therefore, converting waves into a useful form of energy will require the identification of potential Wave Energy Farm (WEF) locations. This should be undertaken in tandem with selecting an appropriate Wave Energy Converter (WEC), as the characteristics of these devices are critical in capturing the available wave power. Therefore, this paper describes a three-stage systematic approach that was developed and implemented in order to select the most suitable WEC(s) for marine areas identified as optimal for WEFs. As this sector is evolving rapidly, the first stage identified all WECs currently in development and proposed classifying these devices in a practical and meaningful manner. The second stage developed a procedure for identifying generic WEF locations by integrating the multiple dimensions of sustainable development and the technical limitations of the sector, within a geographic information systems framework. Lastly, the third stage incorporates the results from the previous two stages. The devices considered for further analysis were reduced based on commercial viability, whilst the available power was quantified and characterised at each of the optimal WEF sites. Thereafter, appropriate techno-economic performance indicators were identified to rank and determine the optimal device for a specific location.
机译:在海浪方面,海洋占地约70%的地球表面,并含有巨大的可再生能源来源。然而,这种资源在全球范围内不均匀地分布,因此,将波浪转换成有用形式的能量,需要识别潜在的波能源场(WEF)位置。这应该在串联中进行,选择合适的波能量转换器(WEC),因为这些器件的特性对于捕获可用波功率是至关重要的。因此,本文介绍了一种开发和实施的三级系统方法,以便为鉴定为WEFS最佳的海洋区域选择最合适的WEC。由于该行业正在快速发展,第一阶段确定了目前正在开发的所有WEC,并以实际和有意义的方式提出分类这些设备。第二阶段通过集成可持续发展的多维维度和地理信息系统框架内的多个维度来开发了一种识别通用WEF位置的程序。最后,第三阶段包含来自前两个阶段的结果。基于商业可行性,考虑了进一步分析的装置,而可用功率被定量并表征在每个最佳WEF位点。此后,确定了适当的技术经济性能指标,以确定特定位置的最佳装置。

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