A new method for prediction of power coefficient and wake length of a horizontal axis wind turbine based on energy analysis-Reference-Cited by-同舟云学术

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A new method for prediction of power coefficient and wake length of a horizontal axis wind turbine based on energy analysis

Published:2022-01 Issue: Volume:252 Page:115121
ISSN:0196-8904
Container-title:Energy Conversion and Management
language:en
Short-container-title:Energy Conversion and Management

Author:

Wang Yan,Wang Liang,Jiang Yao,Sun Xiaojing

Funder

National Natural Science Foundation of China

Natural Science Foundation of Gansu Province

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Reference60 articles.

1. Bridging energy and metal sustainability: insights from china's wind power development up to 2050;Ren;Energy,2021

2. Wind-turbine and wind-farm flows: a review;Porté-Agel;Bound-Lay Meteorol,2020

3. Wind farm wake modeling based on deep convolutional conditional generative adversarial network;Zhang;Energy,2022

4. Flow structure and turbulence in wind farms;Stevens;Annu Rev Fluid Mech,2017

5. A note on wind generator interaction;Jensen;Risø Natl Lab,1983

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