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巴基斯坦瓜达尔港风能资源的 历史变化趋势及预测
引用本文:郑崇伟,高悦,陈璇.巴基斯坦瓜达尔港风能资源的 历史变化趋势及预测[J].北京大学学报(自然科学版),2017,53(4).
作者姓名:郑崇伟  高悦  陈璇
作者单位:解放军理工大学气象海洋学院,南京 211101;中国科学院可再生能源重点实验室,广州 510640;海军大连舰艇学院航海系,大连 116018;中国海洋报社,北京,100860;解放军理工大学气象海洋学院,南京,211101
基金项目:国家重点基础研究发展计划,中国科学院可再生能源重点实验室开放基金,高端科技创新智库青年项目
摘    要:利用欧洲中期天气预报中心的ERA-Interim海表10 m风场资料,计算巴基斯坦瓜达尔港的风能资源近36年(1979—2014年)期间的历史变化趋势,并利用线性回归和BP神经网络两种方法,对该港的风能资源进行长期年度预测,得到以下结果。1)瓜达尔港夏季的风能资源比冬季丰富,且夏季的稳定性明显好于冬季。2)近36年期间,风能密度、有效风速频率和100 W/m~2以上能级频率分别以-0.78 W/(m~2·a),-0.21%/a和-0.22%/a的速度逐年显著递减,且该趋势主要体现在夏季,冬季无显著变化趋势;风能资源的稳定性(变异系数、月变化指数和季节变化指数)无显著变化趋势。3)从预测值来看,瓜达尔港的风能资源在2015年与多年平均状态持平,2016年则趋于更丰富;2015—2016年,风能资源的稳定性比多年平均状态略差。研究结果可以为"21世纪海上丝绸之路"建设以及中国海域的岛礁和港口建设提供依据和参考。

关 键 词:21世纪海上丝调之路  瓜达尔港  风能资源  历史变化趋势  预测

Climatic Long Term Trend and Prediction of the Wind Energy Resource in the Gwadar Port
ZHENG Chongwei,GAO Yue,CHEN Xuan.Climatic Long Term Trend and Prediction of the Wind Energy Resource in the Gwadar Port[J].Acta Scientiarum Naturalium Universitatis Pekinensis,2017,53(4).
Authors:ZHENG Chongwei  GAO Yue  CHEN Xuan
Abstract:Based on the 36-year (1979-2014) ERA-Interim 10 m sea surface wind data from European Centre for Medium-Range Weather Forecasts (ECMWF), the climatic long term trend of the wind energy resource of the Gwadar Port of Pakistan was analyzed. Using two linear regression and artificial neural network (ANN) techniques, the wind energy resource in the long term was predicted. The results show that wind energy in summer is richer than that in winter. The stability in summer is better than that in winter. For the past 36 years, the wind power density, occurrence of effective wind speed and energy level occurrence have significant annual decreasing trends, of?0.78 W/(m2· a),?0.21%/a,?0.22%/a separately. These trends mainly exhibit in summer, while no significant variation in winter. The stability (coefficient of variation, monthly variability index and seasonal variability index) does not have a significant long term trend for the past 36 years. From the prediction value, the wind energy resource in 2015 is similar to the multi-year average value, while the wind energy resource in 2016 is richer than the multi-year average value. For the year 2015-2016, the prediction wind energy will be more unstable than the multi-year average status. The results can provide scientific reference for the 21st Maritime Silk Road construction, development of remote islands and ports in the China seas.
Keywords:21st Maritime Silk Road  Gwadar Port  wind energy resource  climatic long term trend  prediction
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