A preconditioned multigrid for simulation of atmospheric flow and wind turbine wakes

Name: A preconditioned multigrid for simulation of atmospheric flow and wind turbine wakes
Author: Jafari, S., Başol, Altuğ Melik, Chokani, N., Abhari, R. S.

İsim	A preconditioned multigrid for simulation of atmospheric flow and wind turbine wakes
Yazar	Jafari, S., Başol, Altuğ Melik, Chokani, N., Abhari, R. S.
Basım Tarihi:	2015-11-20
Basım Yeri	- Elsevier
Konu	Preconditioning, High reynolds number flow, Wind flow simulations, Compressible solvers
Tür	Süreli Yayın
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	0045-7930
Kayıt Numarası	69f61392-d333-4c8a-b173-29b96e2f4503
Lokasyon	Mechanical Engineering
Tarih	2015-11-20
Notlar	Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin	This paper demonstrates a low Mach number preconditioning formulation for high Reynolds number, low Mach number atmospheric flows. The preconditioning is implemented together with multigrid approach into a multistage solver in order to provide an efficient and robust all purpose solver to be used for the simulation of high Reynolds number viscous flows. Several modification and scaling of the preconditioned parameter are introduced to ensure robust use of the scheme for this particular flow regime in presence of stagnation points and seperation regions. The simulations results of standard cases of atmospheric flow over hilly terrain with attached and separated flow are presented to demonstrate the superior convergence, accuracy and robustness of the developed preconditioned scheme. An immersed wind turbine model is also developed and embedded into the preconditioned solver which allows for the simulations of far wake behind wind turbines in wind farms. The use of the immersed model reduces the stringent grid requirements of full RANS simulations around wind turbines and allows one to efficiently predict the wake evolution within wind farms.
DOI	10.1016/j.compfluid.2015.08.022
Cilt	122

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A preconditioned multigrid for simulation of atmospheric flow and wind turbine wakes

Yazar Jafari, S., Başol, Altuğ Melik, Chokani, N., Abhari, R. S.

Basım Tarihi 2015-11-20

Basım Yeri - Elsevier

Konu Preconditioning, High reynolds number flow, Wind flow simulations, Compressible solvers

Tür Süreli Yayın

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 0045-7930

Kayıt Numarası 69f61392-d333-4c8a-b173-29b96e2f4503

Lokasyon Mechanical Engineering

Tarih 2015-11-20

Notlar Due to copyright restrictions, the access to the full text of this article is only available via subscription.

Örnek Metin This paper demonstrates a low Mach number preconditioning formulation for high Reynolds number, low Mach number atmospheric flows. The preconditioning is implemented together with multigrid approach into a multistage solver in order to provide an efficient and robust all purpose solver to be used for the simulation of high Reynolds number viscous flows. Several modification and scaling of the preconditioned parameter are introduced to ensure robust use of the scheme for this particular flow regime in presence of stagnation points and seperation regions. The simulations results of standard cases of atmospheric flow over hilly terrain with attached and separated flow are presented to demonstrate the superior convergence, accuracy and robustness of the developed preconditioned scheme. An immersed wind turbine model is also developed and embedded into the preconditioned solver which allows for the simulations of far wake behind wind turbines in wind farms. The use of the immersed model reduces the stringent grid requirements of full RANS simulations around wind turbines and allows one to efficiently predict the wake evolution within wind farms.

DOI 10.1016/j.compfluid.2015.08.022

Cilt 122