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Offshore wind energy potential estimation using UPSCALE climate data

机译:使用UPSCALE气候数据估算海上风能潜力

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AbstractOffshore and near-shore wind energy is one of the major renewable energy resources, which already make a substantial contribution to the energy supply in Europe. Nevertheless, development is still in the start-up phase, with new projects being planned and implemented continuously. This development needs to be informed, to enable deployment at the most suitable/ideal locations. However, in order to predict the potential energy yield, forecasts have to be made. In this paper the authors present a scoping study. This study uses high-resolution climate data to predict wind speeds at various heights, and various locations along the coast of Mexico. Several techniques for wind extrapolation are explored, alongside a new method based on data analysis. The results show clearly a strong sensitivity to the method chosen, and results have to be interpreted accordingly. Also, the impact of water vapor is shown, using a method that predicts the moist air density at the hub height. The paper indicates that valuable information can be gained from the analyses undertaken, prior to embarking on detailed, targeted studies. The paper concludes with recommendations for further work.
机译:摘要海上和近岸风能是主要的可再生能源之一,已经为欧洲的能源供应做出了巨大贡献。尽管如此,开发仍处于起步阶段,新项目正在不断计划和实施。需要告知此开发情况,以便在最合适/理想的位置进行部署。但是,为了预测潜在的能源产量,必须进行预测。在本文中,作者提出了范围界定研究。这项研究使用高分辨率的气候数据来预测墨西哥沿海不同高度和不同位置的风速。除了基于数据分析的新方法外,还探索了几种风外推技术。结果清楚地表明了对所选方法的高度敏感性,必须对结果进行相应的解释。此外,使用一种预测轮毂高度的潮湿空气密度的方法,显示了水蒸气的影响。该论文表明,在着手进行详细的,有针对性的研究之前,可以从进行的分析中获得有价值的信息。本文最后提出了进一步工作的建议。

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