Artificial neural network model research on effects of cross-wind to performance parameters of wet cooling tower based on level Froude number

Applied Thermal Engineering

Volumn 51, Issue 1-2, 2013, Pages 1226-1234

  Gao, Ming ^a   Shi, Yue Tao ^a   Wang, Ni Ni ^b   Zhao, Yuan Bin ^a   Sun, Feng Zhong ^a  

^a SHANDONG UNIVERSITY   (China)

^b Shandong Electric Power Engineering Consulting Institute   (China)

Author keywords

Artificial neural network; Cross wind; Froude number; Performance parameter; Wet cooling tower

Indexed keywords

ARTIFICIAL NEURAL NETWORK MODELS; BACKPROPAGATION NETWORK; BP MODEL; COOLING EFFICIENCY; CROSS-WIND; EVAPORATIVE LOSS; GRADIENT DESCENT METHOD; HIDDEN LAYERS; IMPROVED BP ALGORITHMS; INLET AIR; INLET WATER TEMPERATURES; INPUT LAYERS; INPUT PARAMETER; NODE NUMBER; OUTPUT LAYER; OUTPUT PARAMETERS; PERFORMANCE PARAMETERS; STATISTICAL PERFORMANCE; TEMPERATURE DIFFERENCES; THERMAL PERFORMANCE; THERMAL STATE; THREE-LAYER; WATER SPRAYING; WET COOLING TOWER; WIND VELOCITIES;

AIR; COOLING; COOLING TOWERS; EXPERIMENTS; FORECASTING; FROUDE NUMBER; NEURAL NETWORKS;

TOWERS;

EID: 84871772792     PISSN: 13594311     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.applthermaleng.2012.06.053     Document Type: Article

References (36)

1. E. Ding Air Cooling Techniques in Power Plants 1992 Water and Electric Power Press Beijing
2. J.C. Kloppers, and D.G. Kröger The Lewis factor and its influence on the performance prediction of wet-cooling towers International Journal of Thermal Sciences 44 2005 879 884
3. J. Smrekar, J. Oman, and B. Širok Improving the efficiency of natural draft cooling towers Energy Conversion and Management 47 2006 1086 1100
4. J.C. Kloppers, and D.G. Kröger A critical investigation into the heat and mass transfer analysis of counter flow wet-cooling towers International Journal of Heat and Mass Transfer 48 2005 765 777
5. S.P. Fisenko, A.I. Petruchik, and A.D. Solodukhin Evaporative cooling of water in a natural draft cooling tower International Journal of Heat and Mass Transfer 45 2002 4683 4694
6. S.P. Fisenko, A.a. Brin, and A.I. Petruchik Evaporative cooling of water in a mechanical draft cooling tower International Journal of Heat and Mass Transfer 47 2004 165 177
7. P. Naphon Study on the heat transfer characteristics of an evaporative cooling tower International Communication of Heat and Mass Transfer 32 2005 1066 1074
8. J.F. Kenneay, and H. Fordyce Plume Recirculation and Interference in Mechanical Draft Cooling Towers. Cooling Tower Environment-1974 1975 Energy Research and Development Administration
9. J.G. Ribier Study of Performances on Site and on a Model of Large Natural Draught Cooling Towers Fifth IAHR Cooling Tower Workshop 1980
10. Y. Caytan An Investigation of the Performance of Natural Draft Cooling Towers under Cross Wind Conditions, Performed Using Small Scale Heated Models in a Hydraulic Channel Fifth IAHR Cooling Tower Workshop 1980
11. A.F. Dupreez, D.G. Kröger, Investigation into the influence of cross-wind in the performance of dry-cooling towers. 8th Cooling Tower and Spraying pond Symposium, 1992.
12. Q.D. Wei, B.Y. Zhang, K.Q. Liu, X.D. Du, and X.Z. Meng A study of the unfavorable effects of wind on the cooling efficiency of dry cooling towers Journal of Wind Engineering and Industrial Aerodynamics 54/55 1995 633 643
13. M.D. Su, G.F. Tang, and S. Fu Numerical simulation of fluid flow and thermal performance of a dry-cooling tower under cross wind condition Journal of Wind Engineering and Industrial Aerodynamics 79 3 1999 289 306
14. A.F. du Preez, D.G. Kröger, Investigation into the Influence of Cross-wind on the Performance of Dry-Cooling Towers. 8th Cooling Tower and Spraying Pond Symposium, 1992.
15. A.F. du Preez, and D.G. Kröger The effect of the heat exchanger arrangement and wind-break walls on the performance of natural draft dry-cooling towers subjected to cross-winds Journal of Wind Engineering and Industrial Aerodynamics 58 1995 293 303
16. Z. Zhai, and S. Fu Improving cooling efficiency of dry-cooling towers under cross-wind conditions by using wind-break methods Applied Thermal Engineering 26 2006 1008 1017
17. D.D. Derksen, T.J. Bender, D.J. Bergstrom, and K.S. Rezkallah A study on the effects of wind on the air intake flow rate of a cooling tower: part 1. Wind tunnel study Journal of Wind Engineering and Industrial Aerodynamics 64 1996 47 59
18. T.J. Bender, D.J. Bergstrom, and K.S. Rezkallah A study on the effects of wind on the air intake flow rate of a cooling tower: part 2. Wind all study Journal of Wind Engineering and Industrial Aerodynamics 64 1996 61 72
19. T.J. Bender, D.J. Bergstrom, and K.S. Rezkallah A study on the effects of wind on the air intake flow rate of a cooling tower: part 3. Numerical study Journal of Wind Engineering and Industrial Aerodynamics 64 1996 73 88
20. Robert Hecht-Nielson. Theory of back propagation neural networks. in: Proceedings of the international joint conference on neural networks [C]. Washington, 1 (1989), 593-605.
21. S.A. Kalogirou Application of artificial neural-networks for energy systems Applied Energy 67 2000 17 35
22. M.M. Prieto, E. Montanes, and O. Menendez Power plant condenser performance forecasting using a non-fully connected ANN Energy 26 2001 65 79
23. D.J. Swider A comparison of empirically based steady-state models for vapour-compression liquid chillers Applied Thermal Engineering 23 2003 539 556
24. E. Arcaklioglu Performance comparison of CFCs with their substitutes using artificial neural network International Journal of Energy Research 28 2004 1113 1125
25. H.M. Ertunc, and M. Hosoz Artificial neural network analysis of a refrigeration system with an evaporative condenser Applied Thermal Engineering 26 2006 627 635
26. Soteris A. Kalogirou, and Sofia Panteliou Thermosiphon solar domestic water heating systems: longterm performance prediction using artificial neural networks Solar Energy 69 2 2000 163 174
27. Yasar Islamoglu A new approach for the prediction of the heat transfer rate of the wire-on-tube type heat exchanger-use of an artificial neural network model Applied Thermal Engineering 23 2003 243 249
28. M. Hosoz, H.M. Ertunc, and H. Bulgurcu Performance prediction of a cooling tower using artificial neural network Energy Conversion and Management 48 2007 1349 1359
29. W.S. Huang Application of artificial neural network for modeling of mechanical cooling tower Advanced Materials Research 2012 7746 7749
30. Y. Islamoglu Modeling of thermal performance of a cooling tower using an artificial neural network Heat Transfer Engineering 26 4 2005 73 76
31. Ming Gao, Feng-zhong Sun, Shou-jun Zhou, Yue-tao Shi, Yuan-bin Zhao, Nai-hua Wang. Performance prediction of wet cooling tower using artificial neural network under cross-wind conditions. International Journal of Thermal Sciences, in press.
32. Ming Gao, Feng-zhong Sun, Kai Wang, Yue-tao Shi, and Yuan-bin Zhao Experimental research of heat transfer performance on natural draft counter flow wet cooling tower under cross-wind conditions International Journal of Thermal Sciences 47 2008 935 941
33. J.R. Ju, and R. Zhuo Convenient realization of Bp networks on matlab Journal of Xinjiang Petroleum Institute 11 2 1999 42 46
34. F. Xin Basic Theory and Method of Neural Net Intelligence 2000 Southwest Jiaotong University Press Chengdu
35. Q.S. Xie Neural Net Method in Mechanical Engineering 2003 China Machine Press Beijing
36. Y.B. Yao, and J.L. Wang Research on raising BP network training speed Information Technology 1 2002 4 6