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Frontiers in Energy

ISSN 2095-1701

ISSN 2095-1698(Online)

CN 11-6017/TK

邮发代号 80-972

2019 Impact Factor: 2.657

Frontiers in Energy  2022, Vol. 16 Issue (4): 661-682   https://doi.org/10.1007/s11708-020-0713-0
  本期目录
Characterization of aerodynamic performance of wind-lens turbine using high-fidelity CFD simulations
Islam HASHEM1, Aida A. HAFIZ2, Mohamed H. MOHAMED3()
1. Mechanical Power Engineering Department, Faculty of Engineering-Mataria, Helwan University, Cairo 11718, Egypt; State Key Laboratory of Hydroscience and Engineering, Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China
2. Mechanical Power Engineering Department, Faculty of Engineering-Mataria, Helwan University, Cairo 11718, Egypt
3. Mechanical Power Engineering Department, Faculty of Engineering-Mataria, Helwan University, Cairo 11718, Egypt; Mechanical Engineering Department, College of Engineering and Islamic Architecture, Umm Al-Qura University, Makkah5555, Saudi Arabia
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Abstract

Wind-lens turbines (WLTs) exhibit the prospect of a higher output power and more suitability for urban areas in comparison to bare wind turbines. The wind-lens typically comprises a diffuser shroud coupled with a flange appended to the exit periphery of the shroud. Wind-lenses can boost the velocity of the incoming wind through the turbine rotor owing to the creation of a low-pressure zone downstream the flanged diffuser. In this paper, the aerodynamic performance of the wind-lens is computationally assessed using high-fidelity transient CFD simulations for shrouds with different profiles, aiming to assess the effect of change of some design parameters such as length, area ratio and flange height of the diffuser shroud on the power augmentation. The power coefficient (Cp) is calculated by solving the URANS equations with the aid of the SST k–ω model. Furthermore, comparisons with experimental data for validation are accomplished to prove that the proposed methodology could be able to precisely predict the aerodynamic behavior of the wind-lens turbine. The results affirm that wind-lens with cycloidal profile yield an augmentation of about 58% increase in power coefficient compared to bare wind turbine of the same rotor swept-area. It is also emphasized that diffusers (cycloid type) of small length could achieve a twice increase in power coefficient while maintaining large flange heights.

Key wordsshroud    diffuser-augmented wind turbine (DAWT)    Betz limit    aerodynamics    computational fluid dynamics (CFD)
收稿日期: 2019-03-14      出版日期: 2022-10-21
Corresponding Author(s): Mohamed H. MOHAMED   
 引用本文:   
. [J]. Frontiers in Energy, 2022, 16(4): 661-682.
Islam HASHEM, Aida A. HAFIZ, Mohamed H. MOHAMED. Characterization of aerodynamic performance of wind-lens turbine using high-fidelity CFD simulations. Front. Energy, 2022, 16(4): 661-682.
 链接本文:  
https://academic.hep.com.cn/fie/CN/10.1007/s11708-020-0713-0
https://academic.hep.com.cn/fie/CN/Y2022/V16/I4/661
Turbulence model Ref.
Algebraic mixing length model [39]
Nonlinear eddy viscosity model [3,8]
Spalart-Allmaras (SA) [40,41]
k–ω model [4244]
Shear Stress Transport (SST) k–ω model [24,26, 4552]
Delayed Detached Eddy Simulation (DDES) [53]
Large Eddy Simulation (LES) [9]
Direct Numerical Simulation (DNS) [10]
Tab.1  
Fig.1  
Fig.2  
Fig.3  
Fig.4  
Fig.5  
Type Aii Bii Cii Sii
(LN + LD)/D 0.225 0.221 0.221 0.225
Aexit/Athroat 1.173 1.288 1.294 1.119
Tab.2  
Fig.6  
Type C0 Ci Cii Ciii
(LN + LD)/D 0.1 0.137 0.221 0.371
Aexit/Athroat 1.138 1.193 1.294 1.555
Tab.3  
Parameters Dimension
Blade profile MEL
Throat diameter D/m 1.02
Hub diameter Dh 0.13D
Inlet length LN According to diffuser type (See Tables 2 and 3)
Diffuser length LD According to diffuser type (See Tables 2 and 3)
Flange height h 0.1D
Tip clearance (s)/m 0.01
Semi-open angle (q)/(° ) 12 (Sii type)
Reynolds number, Re based on D 5.5 × 105
Wind velocity U0/(m·s–1) 8
Tab.4  
Fig.7  
Fig.8  
Mesh level Cii-type wind-lens
Number of cells Cp,max at l = 4.3
M-1 1.63 × 106 cells 0.921
M-2 1.85 × 106 cells 0.917
M-3 2.22 × 106 cells 0.913
M-4 2.77 × 106 cells 0.909
Tab.5  
Spatial discretization schemes
Gradient Least square cell-based
Pressure Standard
Momentum Second-order upwind
Turbulence kinetic energy (k) Second-order upwind
Turbulence specific dissipation rate (w) Second-order upwind
Temporal discretization schemes
Transient formulation Second-order implicit
Tab.6  
Time step (?t)/s Azimuthal angular step (Dq)/(° ) Cp,max at l = 4.3
6.34 × 105 0.25 0.907
1.26 × 104 0.5 0.911
2.53 × 104 1 0.913
7.61 × 104 3 0.918
Tab.7  
Fig.9  
Fig.10  
Fig.11  
h/D Experimental measured results [2] CFD predicted results
Cp,max, Exp λ at Cp,max Cp,max, CFD λ at Cp,max
Bare 0.369 4.3 0.392 3.6
Aii 0.1 0.777 3.6 0.847 4.3
Bii 0.1 0.885 4.3 0.920 4.6
Cii 0.1 0.884 4.3 0.913 4.6
Sii 0.1 0.717 3.6 0.707 4.3
Tab.8  
h/D Experimental measured results [2] CFD predicted results
Cp,max,Exp λ at Cp,max Cp,max,CFD λ at Cp,max
Bare 0.369 4.3 0.392 3.6
C0 0.1 0.725 4.3 0.667 4.6
Ci 0.1 0.809 4.3 0.749 4.6
Cii 0.1 0.884 4.3 0.913 4.6
Ciii 0.1 0.907 4.6 0.960 4.6
Tab.9  
Fig.12  
Fig.13  
Fig.14  
Fig.15  
Fig.16  
Fig.17  
Fig.18  
Fig.19  
Fig.20  
Q Mechanical torque/(N·m)
h Flange height/m
Dh Hub diameter/m
LN Inlet length/m
LD Diffuser length/m
Cp,max Maximum power coefficient
K Acceleration factor
p Static pressure/Pa
y+ Normalized wall distance
Cp Power coefficient
Re Reynolds number
D Throat diameter/m
s Tip clearance/m
CQ Torque coefficient
Aexit/Athroat Area ratio
R Rotor radius/m
k Turbulence kinetic energy/(J·kg–1)
U0 Wind velocity/(m·s–1)
Uz Streamwise velocity/(m·s–1)
z Cartesian coordinate in the z-direction
N Number of cycles
P Mechanical power/W
c Chord length/m
Δt Time step/s
λ Tip-speed ratio
ω Specific turbulence dissipation rate/s–1
μt Eddy viscosity/(m2·s–1)
ε Turbulence dissipation rate/(J·(kg·s)–1)
ζ Vorticity/s–1
θT Twist angle/(° )
ρ Density/(kg·m–3)
μ Absolute viscosity/(kg·(m·s)–1)
Δθ Azimuthal angular step/(° )
CFD Computational fluid dynamics
DAWT Diffuser augmented wind turbine
DNS Direct numerical simulation
GA Genetic algorithm
HAWT Horizontal-axis wind turbine
LES Large eddy simulation
PISO Pressure implicit with splitting of operator
SST Shear Stress Transport
SMM Sliding mesh model
URANS Unsteady Reynolds-Averaged Navier-Stokes Equations
MEL Mechanical Engineering Laboratory
WLT Wind-lens turbine
BC Boundary condition
  
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