Estimation and optimization of thermal performance of evacuated tube solar collector system

Heat and Mass Transfer/Waerme- und Stoffuebertragung

Volumn 50, Issue 5, 2014, Pages 711-719

  Dikmen, Erkan ^a   Ayaz, Mahir ^a   Ezen, H Hüseyin ^a   Küçüksille, Ecir U ^a   Şahin, Arzu Şencan ^a  

^a SULEYMAN DEMIREL UNIVERSITY   (Turkey)

Author keywords

[No Author keywords available]

Indexed keywords

NEURAL NETWORKS; SOLAR COLLECTORS;

ADAPTIVE NEURO-FUZZY; CONVENTIONAL METHODS; ESTIMATION AND OPTIMIZATION; EVACUATED TUBE SOLAR COLLECTOR; OPTIMUM WORKING CONDITIONS; THERMAL PERFORMANCE; TRAINING AND TESTING;

TUBES (COMPONENTS);

EID: 84898810315     PISSN: 09477411     EISSN: 14321181     Source Type: Journal    
DOI: 10.1007/s00231-013-1282-0     Document Type: Article

References (32)

1. Zambolin E, Del Col D (2012) An improved procedure for the experimental characterization of optical efficiency in evacuated tube solar collectors. Renew Energy 43:37-46
2. Xu L, Wang Z, Yuan G, Li X, Ruan Y (2012) A new dynamic test method for thermal performance of all-glass evacuated solar air collectors. Sol Energy 86:1222-1231
3. Zhang XR, Yamaguchi H (2008) An experimental study on evacuated tube solar collector using supercritical CO2. Appl Therm Eng 28:1225-1233
4. Ayompe LM, Duffy A, Mckeever M, Conlon M, McCormack SJ (2011) Comparative field performance study of flat plate and heat pipe evacuated tube collectors (ETCs) for domestic water heating systems in a temperate climate. Energy 36:3370-3378
5. Tang R, Yang Y, Gao W (2011) Comparative studies on thermal performance of water-in-glass evacuated tube solar water heaters with different collector tilt-angles. Sol Energy 85:1381-1389
6. Zambolin E, Del Col D (2010) Experimental analysis of thermal performance of flat plate and evacuated tube solar collectors in stationary standard and daily conditions. Sol Energy 84:1382-1396
7. Nkwetta DN, Smyth M, Zacharopoulos A, Hyde T (2012) Optical evaluation and analysis of an internal low-concentrated evacuated tube heat pipe solar collector for powering solar air-conditioning systems. Renew Energy 39:65-70
8. Tang R, Gao W, Yu Y, Chen H (2009) Optimal tilt-angles of all-glass evacuated tube solar collectors. Energy 34:1387-1395
9. Sharma N, Diaz G (2011) Performance model of a novel evacuated-tube solar collector based on minichannels. Sol Energy 85:881-890
10. Houri A, Salloum H, Ali A, Abdel Razik AK, Houri L (2012) Quantification of energy produced from an evacuated tube water heater in a real setting. Renew Energy 49:111-114
11. Liang R, Ma L, Zhang J, Zhao D (2011) Theoretical and experimental investigation of the filled-type evacuated tube solar collector with U tube. Sol Energy 85:1735-1744
12. Ma L, Lu Z, Zhang J, Liang R (2010) Thermal performance analysis of the glass evacuated tube solar collector with U-tube. Build Environ 45:1959-1967
13. Kim Y, Seo T (2007) Thermal performances comparisons of the glass evacuated tube solar collectors with shapes of absorber tube. Renew Energy 32:772-795
14. Ayompe LM, Duffy A, McCormack SJ, Conlon M (2011) Validated TRNSYS model for forced circulation solar water heating systems with flat plate and heat pipe evacuated tube collectors. Appl Therm Eng 31:1536-1542
15. Shah LJ, Furbo S (2004) Vertical evacuated tubular-collectors utilizing solar radiation from all directions. Appl Energy 78:371-395
16. Roberto B, Ubaldo C, Stefano M, Roberto I, Elisa S, Paolo M (2010) Graybox and adaptative dynamic neural network identification models to infer the steady state efficiency of solar thermal collectors starting from the transient condition. Sol Energy 84:1027-1046
17. Souliotis M, Kalogirou S, Tripanagnostopoulos Y (2009) Modelling of an ICS solar water heater using artificial neural networks and TRNSYS. Renew Energy 34:1333-1339
18. Kalogirou SA (2006) Prediction of flat-plate collector performance parameters using artificial neural networks. Sol Energy 80:248-259
19. Ezen HH (2010) Theoretical and experimental investigation of evacuated tube solar collector. Master thesis, Süleyman Demirel University, The Graduate School of Natural and Applied Sciences, Isparta (in Turkish)
20. Veelenturf LPJ (1995) Analysis and applications of artificial neural networks. Prentice Hall, London
21. Haykin SS (1999) Neural networks: a comprehensive foundation. Prentice Hall, Englewood Cliffs, NJ
22. Tsoukalas LH, Uhrig RE (1997) Fuzzy and neural approaches in engineering. Wiley, London
23. Fu LM (1994) Neural Networks in Computer Intelligence. Mc Graw-Hill International Editions, New York
24. Ying LC, Pan MC (2008) Using adaptive network based fuzzy inference system to forecast regional electricity loads. Energy Conversat Manag 49:205-211
25. Buragohain M, Mahanta C (2008) A novel approach for ANFIS modeling based on full factorial design. Appl Soft Comput 8:609-625
26. Matlab Fuzzy logic toolbox user's guide. Natick: The Math Works Inc., http://www.mathworks.com/access/helpdesk/help/pdf-doc/fuzzy/fuzzy.pdf
27. Holland H (1975) Adaption in natural and artifical systems. University of Michigan Press, Ann Arbor, MI
28. Peteghem VV, Vanhoucke M (2010) A genetic algorithm for the preemptive and non-preemptive multi-mode resource-constrained project scheduling problem. Eur J Oper Res 201:409-418
29. Köse E, AbacI K, KIzmaz H, Aksoy S, YalçIn MA (2013) Sliding mode control based on genetic algorithm for WSCC systems include of SVC. Electron Electr Eng 19:19-24
30. Kalogirou SA (2004) Solar thermal collectors and applications. Prog Energy Combust Sci 30:231-295
31. Duffie JA, Beckman WA (1991) Solar engineering of thermal processes. Wiley, New York
32. Varun, Siddhartha (2010) Thermal performance optimization of a flat plate solar air heater using genetic algorithm. Appl Energy 87:1793-1799