Optimization and modeling of a photovoltaic solar integrated system by neural networks

Energy Conversion and Management

Volumn 49, Issue 11, 2008, Pages 3349-3355

  Ashhab, Moh'd Sami S ^a  

^a HASHEMITE UNIVERSITY   (Jordan)

Author keywords

Constrained optimization; Modeling; Neural networks; PV solar system

Indexed keywords

ARTIFICIAL INTELLIGENCE; ASTRONOMY; BACKPROPAGATION; CENTRIFUGAL PUMPS; CHLORINE COMPOUNDS; CONSTRAINED OPTIMIZATION; CONSTRAINT THEORY; HYDRAULIC MACHINERY; INTEGRATED CONTROL; INTEGRATED OPTICS; NEURAL NETWORKS; OCEANOGRAPHY; OFFSHORE OIL WELL PRODUCTION; OPTIMIZATION; PUMPS; SOLAR EQUIPMENT; SOLAR POWER GENERATION;

AND MODELING; ANN MODELING; ARTIFICIAL NEURAL NETWORKS; COMPLEX METHODS; FLAT-PLATE COLLECTORS; FLOW METERING; INPUT-OUTPUT DATA; INTEGRATED SYSTEMS; MODELING; OPERATING CONDITIONS; PV SOLAR SYSTEM; PYRANOMETER; STORAGE TANKS; SYSTEM EFFICIENCIES; SYSTEM PERFORMANCES; WATER MASS FLOW; WIND SPEED;

SOLAR SYSTEM;

EID: 52949153989     PISSN: 01968904     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enconman.2007.10.036     Document Type: Article

References (14)

1. Agenda 21. Preliminary Report Prepared by Several Organizations, Amman; 2000.
2. Odeh S, Nijmeh S, Ashhab MS, Zakaria Y, Amra A. Design of a single-axis tracking parabolic collector for moderate temperature applications. In: ISES conference, EuroSun, Freiburg-Germany; 2004. p. 527-32.
3. Vine E, Crawly D, Centolella P. Energy efficiency and the environment American Council for an Energy-Efficient Economy (ACE); 1991.
4. Hammad M.A. Experimental study of the performance of a solar thermal photovoltaic integrated system. Renew Energy 4 (1994) 897-905
5. Ashhab MS. Thermal photovoltaic solar integrated system analysis using neural networks. In: The third international conference on thermal engineering: theory and applications, Amman-Jordan; 2007. p. 593-6.
6. Reklaitis G. Engineering optimization (2002), John Wiley & Sons, New York
7. Reddy K., and Ranjan M. Solar resource estimation using artificial neural networks and comparison with other correlation models. Energy Convers Manage 44 (2003) 2519-2530
8. Vandegriff J., Wagstaff K., Ho G., and Plauger J. Forecasting space weather: predicting interplanetary shocks using neural networks. Adv Space Res 36 (2005) 2323-2327
9. Mungiole M., and Keith Wilson D. Prediction of outdoor sound transmission loss with an artificial neural network. Appl Acoust 67 (2006) 324-345
10. Chiang Y., Chang L., and Chang F. Comparison of static-feedforward and dynamic-feedback neural networks for rainfall-runoff modeling. J Hydrol 290 (2004) 297-311
11. Makarynskyy O. Improving wave predictions with artificial neural networks. Ocean Eng 31 (2004) 709-724
12. Haykin S. Neural networks: a comprehensive foundation (1998), Prentice-Hall, New Jersey
13. Ashhab M., and Al-Salaymeh A. Optimization of hot-wire thermal flow sensor based on a neural net model. Appl Therm Eng 26 (2006) 948-955
14. Ashhab M. A combination of neural net modeling and constrained optimization towards inverse control. In: The 4th IASTED international conference on modelling, simulation and optimization, Hawaii, USA; 2004. p. 66-71.