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Influence of wave resource assessment methodology on wave energy production estimates

机译:波浪资源评估方法对波浪能发电估算的影响

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Renewable energy resource inventories show that ocean waves are one of the most energy dense untapped resources in the world, and present an opportunity to generate significant quantities of electricity. To accurately assess the levels of usable energy over long periods, a parametric representation of the raw wave resource is required. This study investigates the variability across four wave energy assessment methods, and two input data sources, to quantify the uncertainties in WEC power production assessments. Two conventional methods were tested: a time-series method and a standard spectral method with a generic spectral shape. Two higher fidelity techniques were additionally studied; an aggregate spectral and a partitioned spectral method.
机译:可再生能源资源清单显示,海浪是世界上能源密集度最高的未开发资源之一,并提供了产生大量电能的机会。为了长期准确地评估可用能量水平,需要原始波资源的参数表示。本研究调查了四种波浪能评估方法和两个输入数据源之间的变异性,以量化WEC电力生产评估中的不确定性。测试了两种常规方法:时间序列方法和具有通用光谱形状的标准光谱方法。另外还研究了两种更高保真度的技术;聚合光谱和分区光谱方法。

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