@inproceedings{a96c12c878654dca949ee1c2924e601b,
title = "Numerical study of wake interaction and its effect on wind turbine aerodynamics based on actuator line model",
abstract = "Wake interaction normally occurs in all wind farms and impacts significantly the flow field and performance of downstream wind turbines. The present work aims to study the wind turbine wake interaction phenomenon through the CFD method using LES and actuator line model. The solver used in the present work is developed based on the open source C++ class library OpenFOAM, in which the PISO algorithm is applied to deal with the velocity pressure coupling problem. The simulations which consider uniform inflow condition and six different layouts are implemented to study the evolving process of the interacting wakes. From the numerical result, the interacting region of wakes contains higher level turbulent flow than the single wake. The fully developed turbulence appears the earliest in the case of tandem layout, leading to serious wake meandering in the end of computational domain. The diffusion of turbulence causes the merging of wakes, and thus the velocity is redistributed among the whole wake region. Velocity deficit caused by the wake decreases the convertible wind energy. The turbulent flow and meandering of the wake result in the multi-scale fluctuation of the aero-power curves of wind turbines downstream.",
author = "Xu Ning and Yang Huang and Decheng Wan and Changhong Hu",
note = "Funding Information: This work is supported by the National Natural Science Foundation of China (51879159, 51490675, 11432009, 51579145), Chang Jiang Scholars Program (T2014099), Shanghai Excellent Academic Leaders Program (17XD1402300), Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning (2013022), Innovative Special Project of Numerical Tank of Ministry of Industry and Information Technology of China (2016-23/09) and Lloyd{\textquoteright}s Register Foundation for doctoral student, to which the authors are most grateful. Funding Information: This work is supported by the National Natural Science Foundation of China (51879159, 51490675, 11432009, 51579145), Chang Jiang Scholars Program (T2014099), Shanghai Excellent Academic Leaders Program (17XD1402300), Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning (2013022), Innovative Special Project of Numerical Tank of Ministry of Industry and Information Technology of China (2016-23/09) and Lloyd?s Register Foundation for doctoral student, to which the authors are most grateful. Publisher Copyright: {\textcopyright} 2019 by the International Society of Offshore and Polar Engineers (ISOPE).; 29th International Ocean and Polar Engineering Conference, ISOPE 2019 ; Conference date: 16-06-2019 Through 21-06-2019",
year = "2019",
language = "English",
isbn = "9781880653852",
series = "Proceedings of the International Offshore and Polar Engineering Conference",
publisher = "International Society of Offshore and Polar Engineers",
pages = "483--490",
editor = "Chung, {Jin S.} and Akselsen, {Odd M.} and HyunWoo Jin and Hiroyasu Kawai and Yongwon Lee and Dmitri Matskevitch and {Ho Van}, Suak and Decheng Wan and Wang, {Alan M.} and Satoru Yamaguchi",
booktitle = "Proceedings of the 29th International Ocean and Polar Engineering Conference, ISOPE 2019",
address = "United States",
}