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OVERVIEW OF METEOROLOGICAL RESEARCH ON THE PROJECT “WEATHER INTELLIGENCE FOR WIND ENERGY” - WILL4WIND

机译:“风能的天气智能”项目的气象研究概述-WILL4WIND

摘要

This paper presents an overview of the research results achieved during implementation of the project “Weather Intelligence for Wind Energy” - WILL4WIND (IPA2007/HR/16IPO/001-040507). The overall goal of the WILL4WIND project was to reduce the wind forecast uncertainties in coastal and complex terrain of Croatia in order to support a more efficient integration of wind energy in the national electric system. The paper presents the following key results of applied meteorological research conducted on the project: i) evaluation of wind forecasts showed greater accuracy of the ALADIN/HR modelwhen increasing the model resolution, ii) deterministic forecasting using analogue-ensemble post-processing method noticeably improved numerical weather predictions iii) probabilisticforecasting using analogue-ensemble method provided useful information on the uncertainty of wind predictions, and iv) targeted knowledge diffusion and extensive two-way networking supported identification of the joint research priorities of meteorology and wind energy communities and contributed to development of dedicated software to ease the use of ALADIN/HR forecasts in operational wind energy sector activities. PROJECT was implemented by a Croatian consortium led by Meteorological and Hydrological Service, Croatia, in collaboration with the University of Zagreb Faculty of Electrical Engineering and Computing, Croatian Transmission System Operator Ltd., RP Global Projekti Ltd. and Energy Institute „Hrvoje Požar”. Europen Union co-funded the project through the Science and Innovation Investment Fund within the Instrument for Pre-Accession Assistance (IPA) for Croatia.
机译:本文概述了在“ WILL4WIND”(IPA2007 / HR / 16IPO / 001-040507)“风能气象情报”项目的实施过程中取得的研究成果。 WILL4WIND项目的总体目标是减少克罗地亚沿海和复杂地形的风能预测不确定性,以支持将风能更有效地整合到国家电力系统中。本文介绍了在该项目上进行的以下应用气象研究的主要结果:i)对风预报的评估显示,当提高模型分辨率时,ALADIN / HR模型的准确性更高; ii)使用模拟集合后处理方法进行的确定性预报显着改善数值天气预报iii)使用模拟集合方法进行概率预报提供了有关风预报不确定性的有用信息,并且iv)有针对性的知识传播和广泛的双向网络支持确定气象学和风能社区的联合研究重点并为发展做出了贡献专用软件的开发,以简化ALADIN / HR预测在风能行业运营中的使用。 PROJECT由克罗地亚气象水文局牵头的克罗地亚财团与萨格勒布大学电气工程与计算学院,克罗地亚传输系统运营商有限公司,RP Global Projekti Ltd.和能源研究所“ HrvojePožar”合作实施。欧洲联盟通过“克罗地亚加入前援助工具”(IPA)中的科学和创新投资基金共同资助了该项目。

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