An effectiveness model for an indirect evaporative cooling (IEC) system: Comparison of artificial neural networks (ANN), adaptive neuro-fuzzy inference system (ANFIS) and fuzzy inference system (FIS) approach

Applied Soft Computing Journal

Volumn 11, Issue 4, 2011, Pages 3525-3533

  Kiran, T Ravi ^a   Rajput, S P S ^a  

^a MAULANA AZAD NATIONAL INSTITUTE OF TECHNOLOGY   (India)

Author keywords

ANFIS; ANN; Effectiveness; FIS; Indirect evaporative cooler; Training

Indexed keywords

ANFIS; ANN; EFFECTIVENESS; FIS; INDIRECT EVAPORATIVE COOLER; TRAINING;

COMPUTER SIMULATION; EVAPORATIVE COOLING SYSTEMS; FORECASTING; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; SOFT COMPUTING;

FUZZY INFERENCE;

EID: 79954582425     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2011.01.025     Document Type: Article

References (33)

1. I.L. Maclaine-Cross, and P.J. Banks A general theory of wet surface heat exchangers and its application to regenerative cooling ASME Journal of Heat Transfer 103 1981 578 585
2. C.F. Kettleborough, and C.S. Hsieh The thermal performance of the wet surface plastic plate heat exchanger used as an indirect evaporative cooler ASME Journal of Heat Transfer 105 1983 366 373 (Pubitemid 13562871)
3. R.L. Webb A unified theoretical treatment for thermal analysis for cooling towers, evaporative condensers and fluid coolers ASHRAE Transactions 90 2 1984
4. C.M. Scofield, and N.H. DesChamps Indirect evaporative cooling using plate type heat exchangers ASHRAE Transactions 90 1984 148 153 (Pubitemid 15486810)
5. P.L. Chen, H.M. Qin, Y.J. Huang, and H.F. Wu A heat and mass transfer model for thermal and hydraulic calculations of indirect evaporative cooler performance ASHRAE Transactions 97 2 1991 852 865
6. J.L. Peterson, and B.D. Hunn Experimental performance of an indirect evaporative cooler ASHRAE Transactions 98 2 1992 392 399
7. P.J. Erens, and A.A. Dreyer Modelling of indirect evaporative air coolers International Journal of Heat Mass Transfer 36 1 1993 17 26
8. J.L. Peterson An efectiveness model for indirect evaporative coolers ASHRAE Transactions Research 3731 1993 392 399
9. B. Halasz A general mathematical model of evaporative cooling devices Revue Generale de Thermique, Elsevier, Paris 37 1998 245 255 (Pubitemid 128780000)
10. X.C. Guo, and T.S. Zhao A parametric study of an indirect evaporative air cooler International Commission of Heat Mass Transfer 25 2 1998 217 226
11. R. Chengqin, and Y. Hongxing An analytical model for the heat and mass transfer processes in indirect evaporative cooling with parallel/counter flow configurations Heat Mass Transfer 49 2006 617 627
12. G. Heidarinejad, and M. Bozorgmehr Modelling of indirect evaporative air coolers AIVC 28th Conference and Palenc 2nd Conference: Building Low Energy Cooling and Ventilation Technologies in the 21st Century, 27-29 September Crete Island, Greece 2007
13. A. Sencan, and S.A. Kalogirou A new approach using artificial neural networks for determination of the thermodynamic properties of fluid couples Energy Conversion Management 46 15-16 2005 2405 2418 (Pubitemid 40574456)
14. L.-W. Wang, and J.M. Mendel Generating fuzzy rules by learning from examples IEEE Transactions on Systems, Man and Cybernetics 22 6 1992 1414 1427
15. E.H. Mamdani Applications of fuzzy algorithms for simple dynamic plant Proceedings of IEEE 121 12 1974 1585 1588
16. Babuska Fuzzy Modeling for Control 1998 Kluwer Academic Publishers Boston
17. E. Bellman, and L.A. Zadeh Decision-making in a fuzzy environment Management Science 17 4 1970
18. S.N. Sivanandam, S. Sumathi, and S.N. Deepa Introduction to Fuzzy Logic using MATLAB 1st ed. 2007 Springer Coimbatore, India
19. A. Pacheco-Vega, M. Sen, K.T. Yang, and L. McClain Rodney Neural network analysis of fin-tube refrigerating heat exchanger with limited experimental data International Journal of Heat and Mass Transfer 44 2001 763 770 (Pubitemid 32152907)
20. A. Pacheco-Vega, G. Diaz, M. Sen, K.T. Yang, and L. McClain Rodney Heat rate predictions in humid air-water heat exchangers using correlations and neural networks Journal of Heat Transfer ASME Transactions 123 2001 348 354 (Pubitemid 32704540)
21. 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 (Pubitemid 46283115)
22. X. Qi, Z. Liu, and D. Li Numerical simulation of shower cooling tower based on artificial neural network Energy Conversion and Management 49 2008 724 732 (Pubitemid 351625381)
23. Y. Islamoglu, A. Kurt, and C. Parmaksizoglu Performance prediction for non-adiabatic capillary tube suction line heat exchanger: an artificial neural network approach Energy Conversion and Management 46 2005 223 232
24. G. Naadimuthu, D.M. Liu, and E.S. Lee Application of an adaptive neural fuzzy inference system to thermal comfort and group technology problems Computers and Mathematics with Applications 54 2007 1395 1402 (Pubitemid 350051759)
25. E. Hikmet, I. Mustafa, S. Abdulkadir, and E. Mehmet Modelling a ground-coupled heat pump system using adaptive neuro-fuzzy inference systems International Journal of Refrigeration 31 2008 65 74
26. A. Sencan, A.Y. Kemal, and A.K. Soteris Thermodynamic analysis of absorption systems using artificial neural network Renewable Energy 31 2006 29 43
27. S.A. Klein S.A. Klein, EES, Engineering Equation Solver 2007 F-Chart Software Madison
28. S. Haykin Neural Networks: A Comprehensive Foundation 1994 Mc Millan New Jersey
29. T. Takagi, and T. Sugeno Fuzzy identification of system and its applications to modeling and control IEEE Transaction on Systems, Man and Cybernetics 15 1985 116 132
30. J-S.R. Jang Fuzzy modeling using generalized neural network and Kalman filter algorithm Proceedings of the Ninth National Conference on Artificial Intelligence 1991 762 767
31. J-S.R. Jang ANFLS: adaptive-network-based fuzzy interference system IEEE Transaction on Systems, Man and Cybernetics 23 3 1993 665 685
32. H. Bechtler, M.W. Browne, P.K. Bansal, and V. Kecman New approach to dynamic modeling of vapor-compression liquid chillers: artificial neural networks Applied Thermal Engineering 21 2001 941 953 (Pubitemid 32272869)
33. D. Howard, and B. Mark Neural Network Toolbox - User Guide, Version 4 (Release 12) 2000 The Mathworks, Inc.