2016
DOI: 10.21608/amme.2016.35280
|View full text |Cite
|
Sign up to set email alerts
|

Numerical Study on Wind Turbine Wakes Under Thermally-Stratified Conditions

Abstract: In the present work, the wake behavior of wind turbines operating under thermallystratified atmospheric boundary layer (ABL) is numerically investigated. The steady state three dimensional Reynolds-Averaged Navier-Stokes (RANS) equations, combined with actuator disk approach, are used in the simulation. The standard ݇-ߝ turbulence model as well as two modified models namely Crespo model and El kasmi model are adopted. Two different methods are used and compared, to represent the atmospheric stratification cond… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2018
2018
2018
2018

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(3 citation statements)
references
References 26 publications
0
3
0
Order By: Relevance
“…The turbulence model, suggested by El Kasmi and Masson [18], was modified by Abuhegazy et al [16] to represent the buoyancy generated turbulence. This modification allows to perform the simulation of the thermally-stratified ABL without the need to solve the energy equation.…”
Section: Mathematical Modelingmentioning
confidence: 99%
See 2 more Smart Citations
“…The turbulence model, suggested by El Kasmi and Masson [18], was modified by Abuhegazy et al [16] to represent the buoyancy generated turbulence. This modification allows to perform the simulation of the thermally-stratified ABL without the need to solve the energy equation.…”
Section: Mathematical Modelingmentioning
confidence: 99%
“…This modification allows to perform the simulation of the thermally-stratified ABL without the need to solve the energy equation. Such model is adopted for the turbulence modulation with the model equations, reported in Abuhegazy et al [16].…”
Section: Mathematical Modelingmentioning
confidence: 99%
See 1 more Smart Citation