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Regional Impact Assessment of Monsoon Variability on Wind Power Availability and Optimization in Asia

机译:季风变化对亚洲风电可用性和优化的区域影响评估

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Recent developments have emphasized the global impacts of climate change and have renewed commitments in renewable energy and energy meteorology. Wind energy depends largely on prevailing meteorological conditions on both local and large scales, thus, wind power optimization should aid its assessment and development. This study uses ERA-Interim daily data from 1979 to 2014 to investigate the impact of the East Asian Monsoon on wind power in Asia. Wind power increase in the Bay of Bengal region as wind vectors strengthened from winter (DJF, December-January-February) to summer (JJA, June-July-August), while the predominant direction shifted to southwesterly. The influence of the South China Sea on South East Asia resulted in increased wind power that peaked in winter. Probability distribution functions for four sub-regions revealed higher probabilities of relatively lower wind speeds in JJA, except for the South East region, where most probable wind speeds were reached in winter. The capacity factor also varied by region and by season. Power generation was lowest in JJA for all the regions except the South West. The South East region also had the highest power generated over the domain. This variation of wind power impacts the amount of energy that must be supplied by non-wind sources, termed Demand Net Wind (DNW). Knowledge of DNW fluctuations thus becomes an important consideration for optimization of power plants, grid networking and reliability, and energy markets.
机译:最近的事态发展强调了气候变化对全球的影响,并对可再生能源和能源气象学做出了新的承诺。风能在很大程度上取决于当地和大规模的主要气象条件,因此,风能优化应有助于其评估和发展。这项研究使用1979年至2014年的ERA-Interim每日数据来调查东亚季风对亚洲风力发电的影响。从冬季(DJF,12月至1月至2月)到夏季(JJA,6月至7月至8月)的风向增强,孟加拉湾地区的风电增加,而主要方向向西南方向移动。南中国海对东南亚的影响导致风力发电增加,并在冬季达到峰值。四个子区域的概率分布函数显示,在JJA中,风速相对较低的概率较高,东南部地区除外,东南部地区冬季最可能达到风速。容量因子还随地区和季节而变化。除西南地区外,所有地区的JJA发电量最低。东南地区在该地区产生的电力也最高。风能的这种变化影响非风能必须提供的能源量,称为需求净风(DNW)。因此,DNW波动的知识成为优化电厂,电网联网和可靠性以及能源市场的重要考虑因素。

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