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Volumn 26, Issue 4, 2005, Pages 73-76

Modeling of thermal performance of a cooling tower using an artificial neural network

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; C (PROGRAMMING LANGUAGE); COMPUTATIONAL METHODS; ERRORS; HEAT FLUX; HEATING; MASS TRANSFER; MATHEMATICAL MODELS; NEURAL NETWORKS; REGRESSION ANALYSIS; THERMAL EFFECTS; VENTILATION;

EID: 17444383138     PISSN: 01457632     EISSN: None     Source Type: Journal    
DOI: 10.1080/01457630590916301     Document Type: Article
Times cited : (15)

References (14)
  • 1
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    • Bedekar, S. V., Nithiarasu, P., and Seetharamu, K. N., Experimental Investigation of the Performance of a Counter-Flow, Packed -Bed Mechanical Cooling Tower, Energy, vol. 23, no. 11, pp. 943-947, 1998.
    • (1998) Energy , vol.23 , Issue.11 , pp. 943-947
    • Bedekar, S.V.1    Nithiarasu, P.2    Seetharamu, K.N.3
  • 2
    • 0028727461 scopus 로고
    • Cooling tower performance: Theory and experiments
    • Bernier, M. A., Cooling Tower Performance: Theory and Experiments, ASHRAE Transaction: Research, vol. 100, part 2, pp. 114-121, 1994.
    • (1994) ASHRAE Transaction: Research , vol.100 , Issue.PART 2 , pp. 114-121
    • Bernier, M.A.1
  • 4
    • 0033165384 scopus 로고    scopus 로고
    • Simulation of heat exchanger performance by artificial neural networks
    • Diaz, G., Sen, M., Yang, K. T., and McClain, R. L., Simulation of Heat Exchanger Performance by Artificial Neural Networks, HVAC & Research, vol. 5, pp. 195-208, 1999.
    • (1999) HVAC & Research , vol.5 , pp. 195-208
    • Diaz, G.1    Sen, M.2    Yang, K.T.3    McClain, R.L.4
  • 5
    • 0034192268 scopus 로고    scopus 로고
    • Long-term performance prediction of forced circulation solar domestic water heating systems using artificial neural networks
    • Kalogirou, S. A., Long-Term Performance Prediction of Forced Circulation Solar Domestic Water Heating Systems Using Artificial Neural Networks, Applied Energy, vol. 66, pp. 63-74, 2000.
    • (2000) Applied Energy , vol.66 , pp. 63-74
    • Kalogirou, S.A.1
  • 6
    • 0001097246 scopus 로고    scopus 로고
    • Predicting temperature profiles in producing oil wells using artificial neural networks
    • Farshad, F. F., Garber, J. D., and Lorde, J. N., Predicting Temperature Profiles in Producing Oil Wells Using Artificial Neural Networks, Engineering Computations, vol. 17, pp. 735-754, 2000.
    • (2000) Engineering Computations , vol.17 , pp. 735-754
    • Farshad, F.F.1    Garber, J.D.2    Lorde, J.N.3
  • 7
    • 0035129451 scopus 로고    scopus 로고
    • Neural network analysis of fin-tube refrigerating heat exchanger with limited experimental data
    • Pacheco-Vega, A., Sen, M., Yang, K. T., and McClain, R. L., Neural Network Analysis of Fin-Tube Refrigerating Heat Exchanger with Limited Experimental Data, International Journal of Heat and Mass Transfer, vol. 44, pp. 763-770, 2001.
    • (2001) International Journal of Heat and Mass Transfer , vol.44 , pp. 763-770
    • Pacheco-Vega, A.1    Sen, M.2    Yang, K.T.3    McClain, R.L.4
  • 10
    • 0034743693 scopus 로고    scopus 로고
    • A neural network approach for non-iterative calculation of heat transfer coefficient in fluid-particle systems
    • Sablani, S. S., A Neural Network Approach for Non-iterative Calculation of Heat Transfer Coefficient in Fluid-Particle Systems, Chemical Engineering and Processing, vol. 40, pp. 363-369, 2001.
    • (2001) Chemical Engineering and Processing , vol.40 , pp. 363-369
    • Sablani, S.S.1
  • 11
    • 0009348686 scopus 로고
    • Heat transfer and pressure drop data on cooling tower packings, and model studies of the resistance of natural towers to airflow, international development in heat transfer, part 5
    • Boulder, CO
    • Lowe, H. J., and Christie, D. G., Heat Transfer and Pressure Drop Data on Cooling Tower Packings, and Model Studies of the Resistance of Natural Towers to Airflow, International Development in Heat Transfer, part 5, International Heat Transfer Conference, Boulder, CO, pp. 933-950, 1961.
    • (1961) International Heat Transfer Conference , pp. 933-950
    • Lowe, H.J.1    Christie, D.G.2
  • 12
    • 0347259130 scopus 로고    scopus 로고
    • Predicting residential appliance, lighting, and space cooling energy consumption using neural networks
    • Turkey
    • Aydinalp, M., Ugursal, V. I., and Fung, A. S., Predicting Residential Appliance, Lighting, and Space Cooling Energy Consumption Using Neural Networks, Proc. Fourth International Thermal Energy Congress, Cesme, Turkey, pp. 417-422, 2001.
    • (2001) Proc. Fourth International Thermal Energy Congress, Cesme , pp. 417-422
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  • 14
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    • Applications of artificial neural networks and genetic algorithms in thermal engineering
    • CRC Press, Boca Raton, FL
    • Sen, M., and Yang, K. T., Applications of Artificial Neural Networks and Genetic Algorithms in Thermal Engineering, The CRC Handbook of Thermal Engineering, CRC Press, Boca Raton, FL, 2000.
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    • Sen, M.1    Yang, K.T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.