塔霍河河口潮汐水轮机选址能源评价的实验验证。

Bénédicte Hoofd, Tiago Gomes, Ligia Pinto, Guilherme Vaz, Ramiro Neves, Antonio Botelho, Catarina Freitas
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引用次数: 0

摘要

里斯本是葡萄牙的首都,位于塔霍河河口,水流的速度和方向主要由当地的潮汐决定。这条河最窄的部分位于里斯本市中心和城市西侧之间。这种变窄加速了水流,使其成为潮汐能源系统的潜在地点。利用MOHID软件进行了基于数值模拟的初步研究,利用免费的后发数据评估了整个河口的潜在能量产量。这样就可以根据每年的潮汐和电流能量密度,在里斯本地区选择三个潜在的潮汐涡轮机地点:Cacilhas, Bel ' em和Pa ø co de Arcos海岸。然而,即使目前的模型之前已经用实验数据进行了验证,它也只是在河口的两个远离潜在地点的地方进行的。由于在这些位置驱动当前速度的现象的复杂性,在提交到特定站点之前需要进行额外的验证。本文介绍了这三个地点的数值分析、实验活动和结果的验证。3.4m和4.5m深度的漂流船在每个位置至少释放8次,并在自由漂流15分钟后回收。用GPS跟踪每个漂浮物,并根据漂浮物的轨迹得出当前的速度和方向。实验数据分析与模型吻合较好,但误差始终保持在0.3m/s。本文最后讨论了模型的时间和空间离散化以及分析中包含的力,这些力可能是数值和实验数据之间差异的来源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Validation of the energy resource assessment with experimental data for the site selection of a tidal turbine in the Tagus River estuary.
Lisbon, the capital of Portugal, is located on the mouth of the Tagus River, where the current speed and direction are mainly governed by the local tides. The narrowest part of the river is located between Lisbon downtown and the western side of the city. This narrowing accelerates the water flow and makes it a potential site for a tidal energy system. A preliminary study based on numerical simulations using the software MOHID was conducted to assess potential energy yields throughout the estuary using freely available hindcast data. This allowed the selection of three potential sites for a tidal turbine in the Lisbon area based on yearly tidal and current energy density: off the coasts of Cacilhas, Bel´em, and Pa¸co de Arcos. However, even if the current model has been previously validated with experimental data, it was only done at two locations in the estuary that are far from the potential sites. Due to the complexity of the phenomena driving the current speed at these locations, additional validation is necessary before committing to a specific site. This paper presents the numerical analysis, the experimental campaign and the validation of the results at those three locations. Drifters with sails of 3.4m and 4.5m depth were released at least 8 times at each location and retrieved after 15 minutes of free drift. Each drifter was tracked with a GPS and the current speed and direction were derived from the drifters’ trajectory. The analysis of the experimental data shows good agreement with the model, even though an error of 0.3m/s is consistent throughout the tests. This paper concludes with a discussion on the model temporal and spatial discretisation and the forces included in the analysis that could be the source of the differences between the numerical and experimental data.
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