Use of a weather forecast model to identify suitable sites for new wind power plants in Karnataka

Gangopadhyay Anasuya; Kanase Radhika; Mohan Greeshma; Halder Madhuparna; Deshpande Medha; Mukhopadhyay Parthasharathi; Srinivasan J.

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Use of a weather forecast model to identify suitable sites for new wind power plants in Karnataka

机译：使用天气预报模型来识别卡纳塔克卡新风电厂的合适网站

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The wind speed forecast by a weather forecast model (with a resolution of 3 km) has been used to identify regions with high wind speed in Karnataka. The correlation between daily wind speed predicted by the model and the measured wind speed at three stations in Karnataka has been shown to be high. Based on this model, new locations have been suggested for the installation of new wind power plants in Karnataka.

机译：天气预报模型的风速预测（分辨率为3公里）已被用于识别Karnataka风速高风速的区域。在Karnataka的三个站预测的模型预测的日常风速与测量的风速之间的相关性已经显示为高。基于此模型，已建议在卡纳塔克邦安装新风电厂的新地点。

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来源
《Current Science: A Fortnightly Journal of Research》 |2019年第8期|共8页
作者
Gangopadhyay Anasuya; Kanase Radhika; Mohan Greeshma; Halder Madhuparna; Deshpande Medha; Mukhopadhyay Parthasharathi; Srinivasan J.;
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作者单位

Indian Inst Sci Divecha Ctr Climate Change Bengaluru 560012 India;

Indian Inst Trop Meteorol Dr Homi Bhabha Rd Pune 411008 Maharashtra India;

Indian Inst Trop Meteorol Dr Homi Bhabha Rd Pune 411008 Maharashtra India;

Indian Inst Trop Meteorol Dr Homi Bhabha Rd Pune 411008 Maharashtra India;

Indian Inst Trop Meteorol Dr Homi Bhabha Rd Pune 411008 Maharashtra India;

Indian Inst Trop Meteorol Dr Homi Bhabha Rd Pune 411008 Maharashtra India;

Indian Inst Sci Divecha Ctr Climate Change Bengaluru 560012 India;

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原文格式 PDF
正文语种 eng
中图分类自然科学现状及发展;
关键词
Karnataka; potential site; renewables; weather model; wind plant;

机译：Karnataka;潜在地点;可再生能源;天气模型;风厂;

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1. Use of a weather forecast model to identify suitable sites for new wind power plants in Karnataka [J] . Gangopadhyay Anasuya, Kanase Radhika, Mohan Greeshma, Current Science: A Fortnightly Journal of Research . 2019,第8期

机译：使用天气预报模型来识别卡纳塔克卡新风电厂的合适网站
2. Selection and Performance-Degradation Modeling of LiMO$_{2}$/Li$_{4}$Ti$_{5}$O $_{12}$ and LiFePO $_{4}$/C Battery Cells as Suitable Energy Storage Systems for Grid Integration With Wind Power Plants: An Example for the Primary Frequency Regulation Service [J] . Swierczynski M., Stroe D.I., Stan A.-I., Sustainable Energy, IEEE Transactions on . 2014,第1期

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3. Probabilistic Wind-Power Forecasting Using Weather Ensemble Models [J] . Yuan-Kang Wu, Po-En Su, Ting-Yi Wu, Industry Applications, IEEE Transactions on . 2018,第6期

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4. Wind Power Probabilistic Forecasting Based on Wind Correction Using Weather Research and Forecasting Model [C] . Menglin Li, Ming Yang, Yixiao Yu, Student Conference on Electrical Machines and Systems . 2020

机译：基于防风研究和预测模型的风电概率预测
5. An ice accretion and wind load forecasting system for power transmission networks using numerical weather prediction. [D] . Arnold, Dan. 2009

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6. Ensemble downscaling in coupled solar wind-magnetosphere modeling for space weather forecasting [O] . M J Owens, T S Horbury, R T Wicks, -1

机译：集成的按比例缩小的太阳风-磁层耦合模型用于空间天气预报
7. Do regional weather models contribute to better wind power forecasts? A few Norwegian case studies. [O] . Bremnes John Bjørnar, Giebel Gregor 2017

机译：区域天气模型是否有助于改善风电预测？一些挪威案例研究。

Use of a weather forecast model to identify suitable sites for new wind power plants in Karnataka

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