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Volumn 31, Issue 6-7, 2011, Pages 1244-1251

Air temperature fields inside refrigeration cabins: A comparison of results from CFD and ANN modelling

Author keywords

Artificial Neural Network; Fluent; Refrigerator stores; Simulation; Temperatures fields

Indexed keywords

ABSOLUTE ERROR; AIR TEMPERATURE; AIR TEMPERATURE FIELDS; ARTIFICIAL NEURAL NETWORK; FLUENT; FLUENT CODE; SIMULATION; SIMULATION TOOL; WORK STUDY;

EID: 79951769437     PISSN: 13594311     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.applthermaleng.2010.12.027     Document Type: Article
Times cited : (35)

References (19)
  • 1
    • 51249194645 scopus 로고
    • A logical calculus of the ideas immanent in nervous activity
    • W.S. McCulloch, and W. Pitts A logical calculus of the ideas immanent in nervous activity Bulletin of Mathematical Biophysics 5 1943 115 133
    • (1943) Bulletin of Mathematical Biophysics , vol.5 , pp. 115-133
    • McCulloch, W.S.1    Pitts, W.2
  • 3
    • 0036469966 scopus 로고    scopus 로고
    • Modeling of the appliance, lighting, and space-cooling energy consumptions in the residential sector using neural networks
    • DOI 10.1016/S0306-2619(01)00049-6, PII S0306261901000496
    • M. Aydinalp Modeling of the appliance, lighting, and space-cooling energy consumptions in the residential sector using neural networks Applied Energy 71 2 2002 87 110 (Pubitemid 34133498)
    • (2002) Applied Energy , vol.71 , Issue.2 , pp. 87-110
    • Aydinalp, M.1    Ismet Ugursal, V.2    Fung, A.S.3
  • 4
    • 2642538304 scopus 로고    scopus 로고
    • Modeling of the space and domestic hot-water heating energy-consumption in the residential sector using neural networks
    • DOI 10.1016/j.apenergy.2003.12.006, PII S0306261903002344
    • M. Aydinalp Modeling of the space and domestic hot-water heating energy consumption in the residential sector using neural networks Applied Energy 79 2 2004 159 178 (Pubitemid 38728822)
    • (2004) Applied Energy , vol.79 , Issue.2 , pp. 159-178
    • Aydinalp, M.1    Ugursal, V.I.2    Fung, A.S.3
  • 5
    • 13444274596 scopus 로고    scopus 로고
    • Generating hot water by solar energy and application of neural network
    • C. Certiner Generating hot water by solar energy and application of neural network Applied Thermal Engineering 25 8-9 2005 1337 1348
    • (2005) Applied Thermal Engineering , vol.25 , Issue.89 , pp. 1337-1348
    • Certiner, C.1
  • 6
    • 28244439879 scopus 로고    scopus 로고
    • Artificial neural network analysis of a refrigeration system with an evaporative condenser
    • DOI 10.1016/j.applthermaleng.2005.06.002, PII S1359431105001912
    • H. Ertunc, and M. Hosoz Artificial Neural Network Analysis of a refrigeration system with an evaporative condenser Applied Thermal Engineering 26 2006 627 635 (Pubitemid 41706321)
    • (2006) Applied Thermal Engineering , vol.26 , Issue.5-6 , pp. 627-635
    • Ertunc, H.M.1    Hosoz, M.2
  • 7
    • 1642355338 scopus 로고    scopus 로고
    • Artificial Neural Network Analysis of heat pumps using refrigerant mixtures
    • E. Arcaklioglu, A. Erisen, and R. Yilmaz Artificial Neural Network Analysis of heat pumps using refrigerant mixtures Energy Conversion and Management 45 2004 1917 1929
    • (2004) Energy Conversion and Management , vol.45 , pp. 1917-1929
    • Arcaklioglu, E.1    Erisen, A.2    Yilmaz, R.3
  • 8
    • 33644866336 scopus 로고    scopus 로고
    • Artificial neural network analysis of an automobile air conditioning system
    • DOI 10.1016/j.enconman.2005.08.008, PII S0196890405002001
    • M. Hosoz, and H. Ertunc Artificial Neural Network Analysis of an automotive air conditioning system Energy Conversion and Management 47 2006 1574 1587 (Pubitemid 43374846)
    • (2006) Energy Conversion and Management , vol.47 , Issue.11-12 , pp. 1574-1587
    • Hosoz, M.1    Ertunc, H.M.2
  • 9
    • 0037408831 scopus 로고    scopus 로고
    • Artificial Neural Network Analysis of an automotive air conditioning system
    • A. Sozen, E. Rcaklioglu, and M. Ozalp Artificial Neural Network Analysis of an automotive air conditioning system Applied Thermal Engineering 23 2003 937 952
    • (2003) Applied Thermal Engineering , vol.23 , pp. 937-952
    • Sozen, A.1    Rcaklioglu, E.2    Ozalp, M.3
  • 10
    • 33847751091 scopus 로고    scopus 로고
    • Modelling of a cascade refrigeration system using artificial neural network
    • DOI 10.1002/er.1218
    • M. Hosoz, and H. Ertunc Modelling of a cascade refrigeration system using Artificial Neural Network Analysis International Journal of Energy Research 30 2006 1200 1215 (Pubitemid 46380371)
    • (2006) International Journal of Energy Research , vol.30 , Issue.14 , pp. 1200-1215
    • Hosoz, M.1    Ertunc, H.M.2
  • 11
    • 33748076487 scopus 로고    scopus 로고
    • Thermal simulations and measurements of domestic refrigerators-freezers: Experimental results
    • C.F.A. Afonso, and J. Matos Thermal simulations and measurements of domestic refrigerators-freezers: experimental results International Journal of Refrigeration 29 2006 1144 1151
    • (2006) International Journal of Refrigeration , vol.29 , pp. 1144-1151
    • Afonso, C.F.A.1    Matos, J.2
  • 13
    • 0003446314 scopus 로고    scopus 로고
    • Version 4.0, Fluent Inc., Lebanon - NH, USA
    • Fluent User's Guide, Version 4.0, Fluent Inc., Lebanon - NH, USA, 1998.
    • (1998) Fluent User's Guide
  • 14
    • 0032675088 scopus 로고    scopus 로고
    • Applications of artificial neural networks in energy systems, a review
    • S.A. Kalogirou Applications of artificial neural networks in energy systems, a review Energy Conversion & Management 40 1999 1073 1087
    • (1999) Energy Conversion & Management , vol.40 , pp. 1073-1087
    • Kalogirou, S.A.1
  • 15
    • 33745910545 scopus 로고    scopus 로고
    • Artificial intelligent methods for thermodynamic evaluation of ammonia-water refrigeration systems
    • DOI 10.1016/j.enconman.2006.01.002, PII S0196890406000331
    • A. Sencan Artificial intelligent methods for thermodynamic evaluation of ammonia-water refrigeration systems Energy Conversion & Management 47 2006 3319 3332 (Pubitemid 44051689)
    • (2006) Energy Conversion and Management , vol.47 , Issue.18-19 , pp. 3319-3332
    • Sencan, A.1
  • 16
    • 33748291453 scopus 로고    scopus 로고
    • Performance of ammonia-water refrigeration systems using artificial neural networks
    • DOI 10.1016/j.renene.2006.01.003, PII S096014810600022X
    • A. Sencan Performance of ammonia-water refrigeration systems using artificial neural networks Renewable Energy 32 2007 314 328 (Pubitemid 44332154)
    • (2007) Renewable Energy , vol.32 , Issue.2 , pp. 314-328
    • Sencan, A.1
  • 17
    • 0035129451 scopus 로고    scopus 로고
    • Neural network analysis of fin-tube refrigerating heat exchanger with limited experimental data
    • DOI 10.1016/S0017-9310(00)00139-3, PII S0017931000001393
    • A. Pacheco-Vega, M. Sen, K.T. Yang, and R.L. McClain 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)
    • (2001) International Journal of Heat and Mass Transfer , vol.44 , Issue.4 , pp. 763-770
    • Pacheco-Vega, A.1    Sen, M.2    Yang, K.T.3    McClain, R.L.4
  • 18
    • 0036866801 scopus 로고    scopus 로고
    • A multilevel genetic algorithm for optimization of geometrically non-linear stiffened composite structures
    • Conceião António A multilevel genetic algorithm for optimization of geometrically non-linear stiffened composite structures Structural and Multidisciplinary Optimization 24 5 2002 372 386
    • (2002) Structural and Multidisciplinary Optimization , vol.24 , Issue.5 , pp. 372-386
    • António, C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.