Future projections of wet-snow events and loads on overhead lines

P. Faggian, Arianna Trevisiol, E. Ciapessoni, F. Marzullo, Francesca Scavo
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引用次数: 1

Abstract

Heavy snowfalls may have serious effects on National Transmission and Distribution Grids because they trigger the formation of sleeves on overhead power lines whose loads may cause outages and, consequently, prolonged disruptions of the energy supply. Some future projections have been elaborated on the basis of 12 high-resolution Euro-CORDEX models (spatial resolution of ~12km) under the configurations RCP8.5 ("Business-As-Usual" scenario) and RCP4.5 (scenario with moderate reductions of greenhouse gases emission) to provide information for planning actions to strength the resilience of the Power Network. Moreover, the meteorological reanalysis dataset MERIDA (with 4km spatial resolution, covering the period 1990-2020) was used for: i) implementing as well as validating the "Makkonen model" to describe the growth of the wet-snow sleeve on high-voltage lines; ii) applying a "bias-correction" of the climate data through the "Equidistant Quantile Mapping" technique; iii) elaborating the reference scenarios 2001-2020 about wet-snow occurrences and wet-snow sleeve loads. After comparing the results with some observations and the reference scenarios, climate models’ outputs have been used to evaluate the future projections in the periods 2021-2040, 2031-2050, 2041-2060. Referring to Extreme Value Analysis, probability maps have been elaborated by means of the "Generalized Extreme Values" distributions. The results point out that wet-snow phenomena will generally decrease as snowfall will turn in rainfall due to global warming. Instead, these events may intensify over the highest Alpine regions as temperatures will be more likely in the range of wet-snow conditions in a future warmer climate.
未来对湿雪事件和架空线路负荷的预测
大雪可能会对国家输配网造成严重影响,因为它们会在架空电线上形成套管,其负载可能会造成停电,从而导致能源供应的长期中断。在RCP8.5(“一切照常”情景)和RCP4.5(温室气体排放适度减少情景)配置下,基于12个高分辨率eurocordex模型(空间分辨率约12km)对未来的一些预测进行了详细阐述,为加强电网弹性的规划行动提供了信息。此外,利用气象再分析数据MERIDA (4km空间分辨率,覆盖1990-2020年):i)实施并验证了描述高压线路湿雪套生长的“Makkonen模型”;ii)通过“等距分位数制图”技术对气候数据进行“偏差校正”;Iii)阐述了2001-2020年湿雪发生和湿雪套筒荷载的参考情景。在将结果与一些观测结果和参考情景进行比较后,利用气候模式的输出对2021-2040、2031-2050、2041-2060期的未来预估进行了评估。参考极值分析,用“广义极值”分布来阐述概率图。结果表明,由于全球变暖,降雪将转为降雨,湿雪现象将普遍减少。相反,这些事件可能会在最高的阿尔卑斯地区加剧,因为在未来变暖的气候中,温度更有可能处于湿雪条件的范围内。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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