Computational Fluid Dynamics Analysis of Spray Cooling in Australia

被引:2
|
作者
Larpruenrudee, Puchanee [1 ]
Do, Doan Khai [1 ]
Bennett, Nick S. [1 ]
Saha, Suvash C. [1 ]
Ghalambaz, Mohammad [2 ]
Islam, Mohammad S. [1 ]
机构
[1] Univ Technol Sydney, Sch Mech & Mechatron Engn, Ultimo, NSW 2007, Australia
[2] Almaaqal Univ, Coll Engn, Basra 61003, Iraq
关键词
spray cooling; computational fluid dynamics; evaporation; humidity; WATER SPRAY; LIQUID-NITROGEN; CFD ANALYSIS; HEAT-TRANSFER; AIR; SYSTEM; PERFORMANCE; SIMULATION; DROPLET; FLOW;
D O I
10.3390/en16145317
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
Spray cooling technology offers high levels of uniform heat removal with very low fluid volumes and has found recent application in relatively small-scale use cases. Since it is a complex process, research can enable spray cooling to be applied more widely and at larger scales, such as in HVAC, as a means to operate more efficiently. Weather conditions are one of the main parameters that directly affect the effectiveness of spray cooling. This study investigates the spray cooling performance for temperature and humidity conditions in six Australian cities. ANSYS Fluent (2021 R1) software is applied for the numerical simulation. The numerical model is first validated with the available literature before a numerical simulation is conducted to assess each city throughout the year. These include Adelaide, Brisbane, Darwin, Melbourne, Perth, and Sydney. The spray cooling pattern, temperature, and humidity distribution, as well as the evaporation effect on different regions in Australia, is simulated and analysed based on the CFD technique. The results from this study indicate that weather conditions influence spray cooling for all cities, especially in summer. Along the wind tunnel, the temperature significantly drops at the spray cooling area, while the humidity increases. Due to the effect of spray cooling inside the wind tunnel, the temperature at the outlet is still lower than the inlet for all cases. However, the humidity at the outlet is higher than the inlet for all cases.
引用
收藏
页数:20
相关论文
共 50 条
  • [21] Computational fluid dynamics (CFD) analysis of pipeline in the food pellets cooling system
    Ghafori, Hasan
    JOURNAL OF STORED PRODUCTS RESEARCH, 2020, 87
  • [22] Advanced Design of Industrial Mixers for Fluid Foods Using Computational Fluid Dynamics
    Ferretti, Gino
    Montanari, Roberto
    Solari, Federico
    Vignali, Giuseppe
    INTERNATIONAL JOURNAL OF FOOD ENGINEERING, 2013, 9 (03) : 309 - 325
  • [23] Computational fluid dynamics analysis of MQL spray parameters and its influence on superalloy grinding
    Balan, Arunachalam Senbagm Setra
    Kullarwar, Tejas
    Vijayaraghavan, Laxmanan
    Krishnamurthy, Ramaligam
    MACHINING SCIENCE AND TECHNOLOGY, 2017, 21 (04) : 603 - 616
  • [24] Analysis of the Optimum Tapering Angle in Microanastomosis Using Computational Fluid Dynamics
    Yagi, Shunjiro
    Ikuta, Kento
    Miyazaki, Shohei
    Umeda, Ryunosuke
    Kanayama, Haruka
    Hifny, Mahmoud A.
    Morita, Maki
    Nakagaki, Makoto
    Tanabe, Makoto
    Suyama, Yoshiko
    Fukuoka, Kohei
    YONAGO ACTA MEDICA, 2022, 65 (04) : 296 - 302
  • [25] A 3-D computational fluid dynamics model for forced air cooling of eggs placed in trays
    Kumar, Vikas
    Wee, Ai Pheeng
    Birla, Sohan
    Subbiah, Jeyamkondan
    Thippareddi, Harshavardhan
    JOURNAL OF FOOD ENGINEERING, 2012, 108 (03) : 480 - 492
  • [26] Numerical study on heat transfer characteristics of spray cooling double skin façade
    Wang, Yanjin
    Lv, Zhihai
    Wang, Qian
    Zhu, Mingming
    Wang, Fangfang
    APPLIED THERMAL ENGINEERING, 2024, 241
  • [27] Combining Computational Fluid Dynamics with a Biokinetic Model for Predicting Ammonia and Phosphate Behavior in Aeration Tanks
    Zima, Piotr
    Makinia, Jacek
    Swinarski, Marek
    Czerwionka, Krzysztof
    WATER ENVIRONMENT RESEARCH, 2009, 81 (11) : 2353 - 2362
  • [28] Design of Cooling Systems Using Computational Fluid Dynamics and Analytical Thermal Models
    SanAndres, Unai
    Almandoz, Gaizka
    Poza, Javier
    Ugalde, Gaizka
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2014, 61 (08) : 4383 - 4391
  • [29] COMPUTATIONAL FLUID DYNAMICS FOR URBAN DESIGN
    Chung, Daniel Hii Jun
    Malone-Lee, Lai Choo
    PROCEEDINGS OF THE 15TH INTERNATIONAL CONFERENCE ON COMPUTER-AIDED ARCHITECTURAL DESIGN RESEARCH IN ASIA (CAADRIA 2010): NEW FRONTIERS, 2010, : 357 - 366
  • [30] Computational Fluid Dynamics-The Futuristic Innovation in Pharmaceutical Industry
    Lavanya, N.
    Bhattacharyya, Sayani
    INDIAN JOURNAL OF PHARMACEUTICAL EDUCATION AND RESEARCH, 2021, 55 (04) : 930 - 938