greenhouses using an large eddy simulation turbulence model
Journal : Biosystems Engineering , 188, 114-135
Author : Rack-woo Kim, In-bok Lee*, Uk-hyeon Yeo, Sang-yeon Lee
Abstract
The wind pressure coefficient (Cp) can be divided into a mean wind pressure coefficient (Cp,
mean) and peak wind pressure coefficient (Cp, peak). In this study, the Cp, mean and Cp, peak
values of single-span greenhouses were estimated using time-dependently computed large
eddy simulation (LES) of the computational fluid dynamics (CFD) model. First, the Cp, mean
and Cp, peak values of single-span greenhouses were measured through a wind tunnel test
considering various experimental conditions, such as the roof slope and roof curvature
radius. The CFD-computed Cp, mean and Cp, peak values were compared with those
measured in the wind tunnel for the validation of the CFD model. Especially, the computed
Cp, mean values using the LES model were compared with the computed Cp, mean values
using the RANS model performed by Kim, Lee, and Kwon (2017). Consequently, the LES
model predicted the Cp, mean values more accurately than those predicted by the RANS. In
addition, the Cp, peak values computed using the LES model showed only fine differences
with those measured in some other regions; however, the overall tendency was similar
between the measured and computed Cp, peak values. From these results, it was determined
that the LES model can properly predict the Cp, peak values as well as the Cp, mean values.
Keywords : Greenhouse/ Computational fluid dynamics/ Mean wind pressure coefficient/ Peak wind pressure coefficient /Wind tunnel test
Download Link : https://doi.org/10.1016/j.biosystemseng.2019.10.009