A Novel Approach for Computational Fluid Dynamics Analysis of Mean Wind Loads on Heliostats

被引:4
|
作者
Duran, R. L. [1 ]
Hinojosa, J. F. [1 ]
Sosa-Flores, P. [1 ]
机构
[1] Univ Sonora UNISON, Dept Chem Engn & Met, Blvd Rosales y Luis Encinas, Hermosillo 83000, Sonora, Mexico
来源
JOURNAL OF SOLAR ENERGY ENGINEERING-TRANSACTIONS OF THE ASME | 2022年 / 144卷 / 06期
关键词
computational fluid dynamics; atmospheric boundary layer (ABL); heliostats; turbulence model; aerodynamic wind loads; rough wall functions; fluid flow; renewable energy; solar; solar tower; ATMOSPHERIC BOUNDARY-LAYER; CFD SIMULATION; TURBULENCE; FLOW; DESIGN; MODEL; RANS;
D O I
10.1115/1.4054587
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
A computational fluid dynamics study about the aerodynamic loads over a heliostat due to an atmospheric boundary layer flow using a modified k-e turbulence model is presented. A new formulation is used, in which the model quantities vary with the velocity field. Modified wall functions for roughness were used at the bottom of the computational domain to achieve horizontal homogeneity of the airflow. Good horizontal homogeneity for the streamwise and spanwise velocity and turbulence intensity profiles were found. The incident profiles were compared with the inlet ones. The average percentage differences were 0.22% for velocity and 0.43% for turbulent intensity. Good agreement was found between the numerical data and theoretical values of the streamwise and spanwise shear stress at the bottom of the domain. The aerodynamic coefficients of the heliostat at different elevation angles were obtained, and a good agreement was found between the numerical data concerning the wind tunnel experimental values. An average percentage difference of 3.1% was found for drag, 6.5% for lift, and 6.0% for overturning. A significant improvement was obtained by using this new formulation with respect to a non-modified k-e turbulence model. The average differences of the aerodynamic coefficients were 6.6% for drag, 12.4% for lift, and 10.1% for overturning. The velocity, turbulent kinetic energy, and pressure fields at different elevation angles were analyzed. It was found that at an elevation of 60 deg, the stagnation point of the flow occurs at the superior edge of the heliostat, causing the maximum lift force over the structure.
引用
收藏
页数:15
相关论文
共 50 条
  • [31] Analysis of urban wind conditions and wildfire smoke dispersion for downtown Montre<acute accent>al using computational fluid dynamics
    Dyer-Hawes, Quinn
    Romanic, Djordje
    Huang, Yi
    Gyakum, John R.
    Douglas, Peter
    BUILDING AND ENVIRONMENT, 2024, 266
  • [32] Study of the wind-induced effects on various roof angles of a mono-slope canopy roof using wind tunnel testing and computational fluid dynamics
    Pratap, Ajay
    Rani, Neelam
    SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES, 2023, 48 (03):
  • [33] High-performance computational fluid dynamics: a custom-code approach
    Fannon, James
    Loiseau, Jean-Christophe
    Valluri, Prashant
    Bethune, Iain
    Naraigh, Lennon O.
    EUROPEAN JOURNAL OF PHYSICS, 2016, 37 (04)
  • [34] Computational fluid dynamics approach to study methane hydrate formation in stirred reactor
    Zare, Marziyeh
    Talimi, Vandad
    Zendehboudi, Sohrab
    Abdi, Majid Abedinzadegan
    JOURNAL OF MOLECULAR LIQUIDS, 2023, 375
  • [35] Computational Fluid Dynamics Prediction of a Modified Savonius Wind Turbine with Novel Blade Shapes
    Tian, Wenlong
    Song, Baowei
    VanZwieten, James H.
    Pyakurel, Parakram
    ENERGIES, 2015, 8 (08): : 7915 - 7929
  • [36] Aerodynamic design optimization of an automobile car using computational fluid dynamics approach
    Kumar, Ravi B.
    Varshan, Nitesh M.
    Kannan, T.
    AUSTRALIAN JOURNAL OF MECHANICAL ENGINEERING, 2021, 19 (05) : 495 - 501
  • [37] Wind Analysis of Long-Span Bridges Using Computational Fluid Dynamics
    Goering, Alexej P. E.
    Ramponi, Rubina
    STRUCTURES CONGRESS 2019: BRIDGES, NONBUILDING AND SPECIAL STRUCTURES, AND NONSTRUCTURAL COMPONENTS, 2019, : 210 - 220
  • [38] Analysis of Thermal Processing of Table Olives Using Computational Fluid Dynamics
    Dimou, A.
    Panagou, E.
    Stoforos, N. G.
    Yanniotis, S.
    JOURNAL OF FOOD SCIENCE, 2013, 78 (11) : E1695 - E1703
  • [39] COMPUTATIONAL FLUID DYNAMICS ANALYSIS FOR IMPROVING TEMPERATURE DISTRIBUTION IN A CHILI DRYER
    Carrera Escobedo, Jose L.
    Ortiz Rivera, Arquimedes
    Guzman Valdivia, Cesar H.
    Garcia Ruiz, Mario A.
    Desiga Orenday, Omar
    THERMAL SCIENCE, 2018, 22 (06): : 2615 - 2623
  • [40] Computational Fluid Dynamics Analysis for Evaluating the Urban Heat Island Effects
    Gagliano, Antonio
    Nocera, Francesco
    Aneli, Stefano
    SUSTAINABILITY IN ENERGY AND BUILDINGS 2017, 2017, 134 : 508 - 517