Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Ali Khosronejad"'
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 793-806 (2023)
A large-eddy simulation framework has been coupled with controller modules to systematically investigate the impacts of collective (CPC) and individual (IPC) pitch control strategies on utility-scale wind turbine energy production and fatigue loads.
Externí odkaz:
https://doaj.org/article/c94e0ea9db594861893c3ac6ff97cce2
Autor:
Mahsa Golbabaie, Behzad Gharahchei, Fatemeh Mirazizi, Alireza Abbasi Baharanchi, Ali Khosronejad, Ali Asghar Karkhanie, Kamahldin Haghbeen
Publikováno v:
Sustainable Environment Research, Vol 33, Iss 1, Pp 1-10 (2023)
Abstract Hybrid xerogels, constructed from organic and inorganic silanes, have emerged as materials with versatile applications. They have shown promising potential for immobilization as their chemical structures encompass the mechanical, thermal, an
Externí odkaz:
https://doaj.org/article/6eb4cac02cd940c89ff347c329d28e22
Publikováno v:
Energies, Vol 17, Iss 3, p 753 (2024)
This study compared the efficacy of the actuator line and actuator surface models in carrying out large-eddy simulations of a utility-scale wind turbine. A large-eddy simulation with the actuator surface and line models was employed to study the wake
Externí odkaz:
https://doaj.org/article/79e932824fe642db86dc55199baca15e
Publikováno v:
Theoretical and Applied Mechanics Letters, Vol 13, Iss 5, Pp 100471- (2023)
This study proposes a cost-effective machine-learning based model for predicting velocity and turbulence kinetic energy fields in the wake of wind turbines for yaw control applications. The model consists of an auto-encoder convolutional neural netwo
Externí odkaz:
https://doaj.org/article/340610393466438697b038e1fd8870d3
Publikováno v:
Energies, Vol 15, Iss 8, p 2899 (2022)
The wake dynamics of a wind turbine are influenced by the atmospheric turbulence and the wake of its upwind turbine. In this work, we investigate the wake characteristics of a waked wind turbine for four different downwind spacings and three differen
Externí odkaz:
https://doaj.org/article/870df8ee962a4218bfa91ece46f57035
Autor:
Ali Khosronejad, Christian Santoni, Kevin Flora, Zexia Zhang, Seokkoo Kang, Seyedmehdi Payabvash, Fotis Sotiropoulos
Publikováno v:
AIP Advances, Vol 10, Iss 12, Pp 125109-125109-10 (2020)
The coronavirus disease outbreak of 2019 has been causing significant loss of life and unprecedented economic loss throughout the world. Social distancing and face masks are widely recommended around the globe to protect others and prevent the spread
Externí odkaz:
https://doaj.org/article/b85163465e27431188108493a938186d
Publikováno v:
Energies, Vol 15, Iss 1, p 41 (2021)
A convolutional neural network (CNN) autoencoder model has been developed to generate 3D realizations of time-averaged velocity in the wake of the wind turbines at the Sandia National Laboratories Scaled Wind Farm Technology (SWiFT) facility. Large-e
Externí odkaz:
https://doaj.org/article/aa2ddaa29611463dbfb8859dd121d94c
Autor:
Thomas Gold, Kevin Reiterer, Dominik Worf, Ali Khosronejad, Helmut Habersack, Christine Sindelar
Publikováno v:
Journal of Fluid Mechanics. 960
The vortex shedding topology of a heavy pendulum oscillating in a dense fluid is investigated using time-resolved three-dimensional particle tracking velocimetry (tr-3-D-PTV). A series of experiments with eight different solid to fluid mass ratios $m
Publikováno v:
Journal of Advances in Modeling Earth Systems. 15
In meandering rivers, interactions between flow, sediment transport, and bed topography affect diverse processes, including bedform development and channel migration. Predicting how these interactions affect the spatial patterns and magnitudes of bed
Publikováno v:
Ocean Engineering. 280:114759