Probabilistic energy performance comparison among flat and tracking PV systems

SPEEDAM 2010 - International Symposium on Power Electronics, Electrical Drives, Automation and Motion

Volumn , Issue , 2010, Pages 169-174

  Tina, G M ^a   Graditi, G ^b   Gagliano, S ^a   Merola, A ^b  

^a UNIVERSITY OF CATANIA   (Italy)

^b ENEA CR Portici   (Italy)

Author keywords

Energy performance; Flat; Probabilistic model; PV systems; Tracking

Indexed keywords

ENERGY PERFORMANCE; FLAT; PROBABILISTIC MODELS; PV SYSTEM; TRACKING;

ENERGY EFFICIENCY; PHOTOVOLTAIC EFFECTS; POWER ELECTRONICS; PROBABILITY DISTRIBUTIONS; STATISTICAL METHODS;

PROBABILITY DENSITY FUNCTION;

EID: 77956587468     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SPEEDAM.2010.5542210     Document Type: Conference Paper

References (19)

1. rd Renewable and Sustainable Energy Reviews 13, 2009, pp. 1800-1818.
2. Bione J, Vilela OC, Fraidenraich N.: Comparison of the performance of PV water pumping systems driven by fixed, tracking and V-trough generators. Solar Energy 2004; 76: pp. 703-11.
3. Grass C, Schoelkopf W, Staudacher L, Hacker Z. Comparison of the optics of non-tracking and novel types of tracking solar thermal collectors for process heat applications up to 300 °C. Solar Energy 2004; 76: pp. 207-15.
4. Lorenzo E., Perez M., Ezpeleta A., Acedo J.: Design of tracking photovoltaic systems with a single vertical axis. Progress in PV Research and Applications 2002; 10: pp. 533-43.
5. Sangani CS, Solanki CS.: Experimental evaluation of V-trough (2 suns) PV concentrator system using commercial PV modules. Solar Energy Materials & Solar Cells 2007; 91: pp. 453-9.
6. Pavel YV, Gonzalez HJ, Vorobiev YV. Optimization of the solar energy collection in tracking and non-tracking PV solar system. In Proceedings of ICEEE; 2004, pp 310-4.
7. Helwa NH, Bahgat ABG, Shafee AMRE, Shenawy ETE. Maximum collectable solar energy by different solar tracking systems. Energy Sources, 2000, 22: pp. 23-4.
8. Chicco G, Schlabbach J, Spertino F. Performance of grid-connected photovoltaic systems in fixed and sun-tracking configurations IEEE Power Tech, 2007, Lausanne, pp. 677 - 682.
9. Hollands K. T., Huget R. G., A Probability Density Function for the clearness index, with applications Solar Energy 30, 1983, pp. 195-209.
10. th EU PVSEC 21-24 September 2009 Hamburg (Germany)
11. Skoplaki E., Palyvos J.A., On the temperature dependence of photovoltaic module electrical performance: A review of efficiency/power correlations. Solar Energy 83, 2009, pp. 614-624.
12. Evans D. L., Simplified method for predicting photovoltaic array output. Solar Energy 27 n. 6, 1981, pp. 555-560.
13. Wei Tian, Yiping Wang, Jianbo Ren, Li Zhu Effect of urban climate on building integrated photovoltaics performance Energy Conversion and Management 48 (2007) 1-8 (Pubitemid 44574451)
14. JA Duffie, WA. Beckman, Solar engineering of thermal processes, John Wiley & Sons, New York, 1982.
15. Gilbert M. Masters, Renewable and Efficient Electric Power Systems, John Wiley & Sons, inc., Publication
16. Conti S., Crimi T., Raiti S., Tina G. M., Vagliasindi U., A Probabilistic Approach to Assess the Long-Term Performance of Grid-Connected PV Systems, PMAPS 2002, 22-26 settembre 2002, Napoli, Italia.
17. F. M. Butera, S. Farruggia, R. Festa, C. Ratto, "Calcolo dei Valori Medi Mensili della Radiazione Diffusa", Energie Alternative HTE, Vol. 50, Nov. - Dec. 1987 (in Italian).
18. Italian Standard UNI 10349
19. G. Tina, S. Gagliano, Probabilistic analysis of weather data for a hybrid solar/wind energy system, Int. J. of Energy Research, Articles online in advance of print.