Influence of rainfall on wind power generation in Northeast Brazil

IF 0.5 Q4 ENVIRONMENTAL SCIENCES Revista Brasileira de Ciencias Ambientais Pub Date : 2021-06-23 DOI:10.5327/z21769478769
Alessandra Maciel de Lima Barros, M. Sobral, Janaina Maria Oliveira de Assis, Werônica Meira de Souza
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引用次数: 1

Abstract

Wind power has been emerging as one of the main renewable energy sources in Northeast Brazil, which concentrates 87% of the country’s installed wind capacity, especially in recent years, due to water scarcity and its seasonal energy complementarity to hydraulic generation. The objective of this article is to present a method to evaluate the influence of rainfall on the behavior of wind power generation, considering rainfall anomaly index and extreme climatic indices of precipitation. We utilized daily rainfall data from cities located near wind farms CE1 and CE2 in the state of Ceará — Aracati, in the 1974-2016 period, and Trairi, in the 1976-2016 period —, as well as daily wind power generation data for the same period, provided by the Electric System National Operator (ONS). The RClimdex software was used to calculate 11 indices of climatic extremes dependent on rainfall. The capacity factor for wind power generation was calculated for the period from 2011 to 2016 for the CE1 and CE2 wind farms. The application of this method found an inversely proportional relation between rainfall anomaly index (RAI) and the wind power capacity factor, with a decrease in total rainfall and a greater number of consecutive dry days and concentrated rain in the short term. From 2012 to 2016, the rainfall anomaly index was negative. However, wind power factors were higher than in 2011. The developed methodology can be applied to other wind farms, contributing to the medium and long term energy planning of the National Interconnected System.
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降雨对巴西东北部风力发电的影响
风力发电已成为巴西东北部主要的可再生能源之一,特别是近年来,由于水资源短缺及其与水力发电的季节性互补,巴西东北部风电装机容量占该国装机容量的87%。本文的目的是在考虑降雨异常指数和降水极端气候指数的情况下,提出一种评估降雨对风力发电行为影响的方法。我们利用了cearacati州CE1和CE2风电场附近城市1974-2016年和1976-2016年的日降雨量数据,以及电力系统国家运营商(ONS)提供的同期日风力发电数据。利用RClimdex软件计算了11个与降雨有关的极端气候指数。计算了2011年至2016年CE1和CE2风电场的风力发电容量系数。应用该方法发现降雨异常指数(RAI)与风电容量因子呈反比关系,短期内总降雨量减少,连续干旱日数增多,降雨集中。2012 - 2016年降水异常指数为负。然而,风力发电因素高于2011年。所开发的方法可以应用于其他风电场,为国家互联系统的中长期能源规划做出贡献。
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来源期刊
自引率
0.00%
发文量
15
审稿时长
25 weeks
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