Performance evaluation of an off-grid photovoltaic system in Saudi Arabia

被引：101
作者：
Rehman, Shafiqur [1 ]
El-Amin, Ibrahim [2 ]
机构：
[1] King Fahd Univ Petr & Minerals, Res Inst, Engn Res Ctr, Dhahran 31261, Saudi Arabia
[2] King Fahd Univ Petr & Minerals, Dept Elect Engn, Dhahran 31261, Saudi Arabia
来源：
ENERGY | 2012年 / 46卷 / 01期
关键词：
PV system; Solar radiation; DC performance ratio; PV panel surface temperature; PV efficiency; ENERGY OUTPUT; TEMPERATURE; MODULES;
D O I：
10.1016/j.energy.2012.08.004
中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
The paper presents the performance evaluation analysis of a 5.28 kW installed capacity isolated grid photovoltaic power plant installed at King Fahd University of Petroleum and Minerals, Dhahran Saudi Arabia in June 2010. The plant was equipped with temperature, solar radiation intensity, and PV (Photovoltaic) panel power output recording sensors for performance evaluation of the plant. The analysis presented the effect of PV surface temperature and dust collected on the panels on the power output of individual arrays and total power from complete plant. Furthermore, the PV panel performance was studied by DC (Direct current) performance ratio variation with PV panel backside surface temperature. Hourly mean energy yield was found to be decreasing with increasing PV panel surface temperature during the months of July & August 2010. The daily energy yield showed a decreasing trend with days of the month which could be accounted for dust accumulation on the PV panel surface. The DC performance ratio also showed a decreasing trend with increasing PV panel surface temperature. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码：451 / 458
页数：8
相关论文
共 33 条
[1]   Ageing effect on the performance of a-Si PhotoVoltaic modules in a grid connected system: Experimental data and simulation results [J].
Abete, A ;
Scapino, F ;
Spertino, F ;
Tommasini, R .
CONFERENCE RECORD OF THE TWENTY-EIGHTH IEEE PHOTOVOLTAIC SPECIALISTS CONFERENCE - 2000, 2000, :1587-1590
[2]   Calculation of the energy provided by a PV generator. Comparative study: Conventional methods vs. artificial neural networks [J].
Almonacid, F. ;
Rus, C. ;
Perez-Higueras, P. ;
Hontoria, L. .
ENERGY, 2011, 36 (01) :375-384
[3]   Site dependence of the energy collection of PV modules [J].
Bucher, K .
SOLAR ENERGY MATERIALS AND SOLAR CELLS, 1997, 47 (1-4) :85-94
[4]   A comparison of the performance of different PV module types in temperate climates [J].
Carr, AJ ;
Pryor, TL .
SOLAR ENERGY, 2004, 76 (1-3) :285-294
[5]   Long-term energy output estimation for photovoltaic energy systems using synthetic solar irradiation data [J].
Celik, AN .
ENERGY, 2003, 28 (05) :479-493
[6]   A detailed modeling method for photovoltaic cells [J].
Chenni, R. ;
Makhlouf, M. ;
Kerbache, T. ;
Bouzid, A. .
ENERGY, 2007, 32 (09) :1724-1730
[7]   Climate change and energy policy: The importance of sustainability arguments [J].
Clift, Roland .
ENERGY, 2007, 32 (04) :262-268
[8]  
del Cueto JA, 2002, CONFERENCE RECORD OF THE TWENTY-NINTH IEEE PHOTOVOLTAIC SPECIALISTS CONFERENCE 2002, P1523
[9]   Field analysis of solar PV-based collective systems for rural electrification [J].
Diaz, P. ;
Pena, R. ;
Munoz, J. ;
Arias, C. A. ;
Sandoval, D. .
ENERGY, 2011, 36 (05) :2509-2516
[10]  
Grottke M, 2008, PV ENLARGEMENT PV MO, P81369
1234