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A 34-year simulation of wind generation potential for Ireland and the impact of large-scale atmospheric pressure patterns

机译:对爱尔兰的风力发电潜力以及大规模大气压力模式的影响进行了为期34年的模拟

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To study climate-related aspects of power system operation with large volumes of wind generation, data with sufficiently wide temporal and spatial scope are required. The relative youth of the Wind industry means that long-term data from real systems are not available. Here, a detailed aggregated Wind power generation model is developed for the Republic of Ireland using MERRA reanalysis wind speed data and verified against measured wind production data for the period 2001-2014. The model is most successful in representing aggregate power output in the middle years of this period, after the total installed capacity had reached around 500 MW. Variability on scales of greater than 6 h is captured Well by the model; one additional higher resolution wind dataset was found to improve the representation of higher frequency variability. Finally, the model is used to hindcast hypothetical aggregate wind production over the 34-year period 1980-2013, based on existing installed wind capacity. A relationship is found between several of the production characteristics, including capacity factor, ramping and persistence, and two large-scale atmospheric patterns the North Atlantic Oscillation and the East Atlantic Pattern. (C) 2017 Elsevier Ltd. All rights reserved.
机译:为了研究具有大量风力的电力系统运行的气候相关方面,需要具有足够宽的时间和空间范围的数据。风电行业相对年轻,这意味着无法获得来自真实系统的长期数据。在此,使用MERRA再分析风速数据为爱尔兰共和国开发了详细的汇总风力发电模型,并针对2001-2014年期间测得的风力发电数据进行了验证。在总装机容量达到约500 MW之后,该模型最能成功地代表该时期中期的总发电量。该模型可以很好地捕获大于6小时的尺度变化。还发现了另外一个更高分辨率的风数据集,可以改善对更高频率可变性的表示。最后,根据现有装机容量,该模型用于对1980年至2013年这34年期间的假设总风电产量进行预测。在几个生产特征之间发现了一种关系,包括容量因子,上升和持久性,以及北大西洋涛动和东大西洋格局的两个大规模大气模式。 (C)2017 Elsevier Ltd.保留所有权利。

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