Research article Topical Sections

Experimental study of a natural draft hybrid (wet/dry) cooling tower with a splash fill type

  • Received: 23 April 2022 Revised: 31 May 2022 Accepted: 02 June 2022 Published: 27 June 2022
  • Cooling towers have such a significant influence on work and efficiency that researchers and designers are working tirelessly to enhance their performance. A prototype design for a natural draft hybrid (wet/dry) cooling tower has been created, relying on geometrical, dynamic, and thermodynamic similarities. Based on Iraqi weather, experiments have been conducted using splash fill (150 mm) in summer (hot and dry) weather conditions. This study investigated heat transfer mechanisms of both air and water in a natural draft hybrid cooling tower model(NDHCTs), both directly (wet section) and indirectly (dry section). The tower is filled with splash-style packing, and the warm water is spread throughout the building using sprayer nozzles. The influences of water flow rates, fill thickness, and air velocity on the cooling range, approach, cooling capacity, thermal efficiency of the cooling tower, water evaporation loss into the air stream and water loss percentage were explored in this study. The experimental were carried out with four different water flow rates, ranging from 7.5 to 12 (Lpm) litres per minute, and eight different air velocities, all while keeping a constant inlet water temperature and a zero (m/s) crosswind. Data has been gathered, and performance variables have been determined. The findings demonstrate that the cooling tower's efficacy increases when the water flow rate is low, and the cooling range increases with increasing air velocity and decreases with increasing water flow rate; for a 7.5 Lpm water flow rate and a 2.4 m/s air velocity, it expanded to 19.5 ℃. The cooling capacity increased to 23.2 kW for a water flow rate of 12 Lpm and an air velocity of 2.4 m/s.

    Citation: Abdullah Kadhlm Ali, Ahmed Qassem Mohammed, Qasim Selah Mahdi. Experimental study of a natural draft hybrid (wet/dry) cooling tower with a splash fill type[J]. AIMS Energy, 2022, 10(4): 648-664. doi: 10.3934/energy.2022031

    Related Papers:

  • Cooling towers have such a significant influence on work and efficiency that researchers and designers are working tirelessly to enhance their performance. A prototype design for a natural draft hybrid (wet/dry) cooling tower has been created, relying on geometrical, dynamic, and thermodynamic similarities. Based on Iraqi weather, experiments have been conducted using splash fill (150 mm) in summer (hot and dry) weather conditions. This study investigated heat transfer mechanisms of both air and water in a natural draft hybrid cooling tower model(NDHCTs), both directly (wet section) and indirectly (dry section). The tower is filled with splash-style packing, and the warm water is spread throughout the building using sprayer nozzles. The influences of water flow rates, fill thickness, and air velocity on the cooling range, approach, cooling capacity, thermal efficiency of the cooling tower, water evaporation loss into the air stream and water loss percentage were explored in this study. The experimental were carried out with four different water flow rates, ranging from 7.5 to 12 (Lpm) litres per minute, and eight different air velocities, all while keeping a constant inlet water temperature and a zero (m/s) crosswind. Data has been gathered, and performance variables have been determined. The findings demonstrate that the cooling tower's efficacy increases when the water flow rate is low, and the cooling range increases with increasing air velocity and decreases with increasing water flow rate; for a 7.5 Lpm water flow rate and a 2.4 m/s air velocity, it expanded to 19.5 ℃. The cooling capacity increased to 23.2 kW for a water flow rate of 12 Lpm and an air velocity of 2.4 m/s.



    加载中


    [1] Rokni M (2016) Performance comparison on repowering of a steam power plant with gas turbines and solid oxide fuel cells. Energies 9: 399. https://doi.org/10.3390/en9060399 doi: 10.3390/en9060399
    [2] He SY (2015) Performance improvement of natural draft dry cooling towers using wetted-medium evaporative pre-cooling. The University of Queensland, 144. https://doi.org/10.14264/uql.2015.514 doi: 10.14264/uql.2015.514
    [3] Al-Waked R, Behnia M (2004) The performance of natural draft dry cooling towers under crosswind: CFD study. Int J Energy Res 28: 147–161. https://doi.org/10.1002/er.958 doi: 10.1002/er.958
    [4] He S, Guan Z, Gurgenci H, et al. (2015) Experimental study of the application of two trickle media for inlet air pre-cooling of natural draft dry cooling towers. Energy Convers Manag 89: 644–654. https://doi.org/10.1016/j.enconman.2014.10.031 doi: 10.1016/j.enconman.2014.10.031
    [5] Xia L, Li J, Ma W, et al. (2017) Water consumption comparison between a natural draft wet cooling tower and a natural draft hybrid cooling tower—An annual simulation for luoyang conditions. Heat Transf Eng 38: 1034–1043. https://doi.org/10.1080/01457632.2016.1216975 doi: 10.1080/01457632.2016.1216975
    [6] Bedekar SV, Nithiarasu P, Seetharamu KN (1998) Experimental investigation of the performance of a counter-flow, packed-bed mechanical cooling tower. Energy 23: 943–947. https://doi.org/10.1016/S0360-5442(98)00044-9 doi: 10.1016/S0360-5442(98)00044-9
    [7] Yuan W, Sun FZ, Liu RQ, et al. (2020) The effect of air parameters on the evaporation loss in a natural draft counter-flow wet cooling tower. Energies 13: 6174. https://doi.org/10.3390/en13236174 doi: 10.3390/en13236174
    [8] Kloppers JC, Kröger DG (2005) Refinement of the transfer characteristic correlation of wet-cooling tower fill. Heat Transfer Eng 26: 35–41. https://doi.org/10.1080/01457630590916266 doi: 10.1080/01457630590916266
    [9] Zhai Z, Fu S (2006) Improving cooling efficiency of dry-cooling towers under cross-wind conditions by using wind-break methods. Appl Therm Eng 26: 1008–1017. https://doi.org/10.1016/j.applthermaleng.2005.10.016 doi: 10.1016/j.applthermaleng.2005.10.016
    [10] Lemouari M, Boumaza M, Kaabi A (2009) Experimental analysis of heat and mass transfer phenomena in a direct contact evaporative cooling tower. Energy Convers Manag 50: 1610–1617. https://doi.org/10.1016/j.enconman.2009.02.002 doi: 10.1016/j.enconman.2009.02.002
    [11] Saleh Mahdi Q, Al-Hachami MR (2015) Performance comparison for NDWCT using trickle fill at different weather conditions. Int J Eng Trends Technol 19: 134–139. https://doi.org/10.14445/22315381/IJETT-V19P223 doi: 10.14445/22315381/IJETT-V19P223
    [12] Shahali P, Rahmati M, Alavi SR, et al. (2016) Experimental study on improving operating conditions of wet cooling towers using various rib numbers of packing. Int J Refrig 65: 80–91. https://doi.org/10.1016/j.ijrefrig.2015.12.004 doi: 10.1016/j.ijrefrig.2015.12.004
    [13] Wang K, Zhong SF, Zhao YB, et al. (2010) Experimental research of the guiding channels effect on the thermal performance of wet cooling towers subjected to crosswinds—Air guiding effect on cooling tower. Appl Therm Eng 30: 533–538. https://doi.org/10.1016/j.applthermaleng.2009.10.015 doi: 10.1016/j.applthermaleng.2009.10.015
    [14] Grobbelaar PJ, Reuter HCR, Bertrand TP (2013) Performance characteristics of a trickle fill in cross- and counter-flow configuration in a wet-cooling tower. Appl Therm Eng 50: 475–484. https://doi.org/10.1016/j.applthermaleng.2012.06.026 doi: 10.1016/j.applthermaleng.2012.06.026
    [15] Gao M, Shi YT, Wang NN, et al. (2013) Artificial neural network model research on effects of cross-wind to performance parameters of wet cooling tower based on level Froude number. Appl Therm Eng 51: 1226–1234. https://doi.org/10.1016/j.applthermaleng.2012.06.053 doi: 10.1016/j.applthermaleng.2012.06.053
    [16] Dewanjee S, Kabir SMH, Das UD (2020) Performance enhancement of induced draft counter flow wet cooling tower with different types of modified shaped fill assembly. J Eng Res Reports, 41–53. https://doi.org/10.9734/jerr/2020/v16i217165 doi: 10.9734/jerr/2020/v16i217165
    [17] Gao M, Sun FZ, Zhou SJ, et al. (2009) Performance prediction of wet cooling tower using artificial neural network under cross-wind conditions. Int J Therm Sci 48: 583–589. https://doi.org/10.1016/j.ijthermalsci.2008.03.012 doi: 10.1016/j.ijthermalsci.2008.03.012
    [18] Ghoddousi S, Anderson A, Rezaie B (2021) Analysis of windbreaker combinations on steam power plant natural draft dry cooling towers. Eur J Sustain Dev Res 5: em0161. https://doi.org/10.21601/ejosdr/10952 doi: 10.21601/ejosdr/10952
    [19] Li X, Gurgenci H, Guan ZQ, et al. (2019) A review of the crosswind effect on the natural draft cooling towers. Appl Therm Eng 150: 250–270. https://doi.org/10.1016/j.applthermaleng.2018.12.147 doi: 10.1016/j.applthermaleng.2018.12.147
    [20] Gao M, Zhong SF, Wang K, et al. (2008) Experimental research of heat transfer performance on natural draft counter flow wet cooling tower under cross-wind conditions. Int J Therm Sci 47: 935–941. https://doi.org/10.1016/j.ijthermalsci.2007.07.010 doi: 10.1016/j.ijthermalsci.2007.07.010
    [21] Gould PL, Kratzig WB (1999) Cooling tower structures. Structural Engineering Handbook, Boca Raton: CRC Press LLC.
    [22] Mahmud T, Islam MK, Salam B (2014) Experimental study of forced draft cross flow wet cooling tower using splash type fill. 2013: 2–7. Available from: https://www.researchgate.net/publication/270579420.
  • Reader Comments
  • © 2022 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(1610) PDF downloads(171) Cited by(0)

Article outline

Figures and Tables

Figures(16)  /  Tables(1)

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog