contributor author | Jafari, S. | |
contributor author | Chokani, N. | |
contributor author | Abhari, R. S. | |
date accessioned | 2017-05-09T01:13:40Z | |
date available | 2017-05-09T01:13:40Z | |
date issued | 2014 | |
identifier issn | 0889-504X | |
identifier other | turbo_136_06_061018.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/156621 | |
description abstract | The accurate modeling of the wind turbine wakes in complex terrain is required to accurately predict wake losses. In order to facilitate the routine use of computational fluid dynamics in the optimized micrositing of wind turbines within wind farms, an immersed wind turbine model is developed. This model is formulated to require grid resolutions that are comparable to that in microscale wind simulations. The model in connection with the kد‰ turbulence model is embedded in a Reynoldsaveraged Navier–Stokes solver. The predictions of the model are compared to available wind tunnel experiments and to measurements at the fullscale Sexbierum wind farm. The good agreement between the predictions and measurements demonstrates that the novel immersed turbine model is suited for the optimized micrositing of wind turbines in complex terrain. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Simulation of Wake Interactions in Wind Farms Using an Immersed Wind Turbine Model | |
type | Journal Paper | |
journal volume | 136 | |
journal issue | 6 | |
journal title | Journal of Turbomachinery | |
identifier doi | 10.1115/1.4025762 | |
journal fristpage | 61018 | |
journal lastpage | 61018 | |
identifier eissn | 1528-8900 | |
tree | Journal of Turbomachinery:;2014:;volume( 136 ):;issue: 006 | |
contenttype | Fulltext | |