Automatic supervision and fault detection of PV systems based on power losses analysis

2010 ◽  
Vol 51 (10) ◽  
pp. 1929-1937 ◽  
Author(s):  
A. Chouder ◽  
S. Silvestre
2020 ◽  
Vol 10 (6) ◽  
pp. 1864-1871 ◽  
Author(s):  
Khaled Dhibi ◽  
Radhia Fezai ◽  
Majdi Mansouri ◽  
Mohamed Trabelsi ◽  
Abdelmalek Kouadri ◽  
...  

2020 ◽  
Vol 12 (22) ◽  
pp. 9750
Author(s):  
Ali Hasan Shah ◽  
Ahmed Hassan ◽  
Mohammad Shakeel Laghari ◽  
Abdulrahman Alraeesi

Dust accumulation on the photovoltaic (PV) surface decreases the solar radiation penetration to the PV cells and, eventually, the power production from the PV system. To prevent dust-based power losses, PV systems require frequent cleaning, the frequency of which depends on the geographical location, PV integration scheme, and scale of the PV power plant. This study aims to measure the drop-in radiation intensity, as well as power output, due to dust and to determine the optimal time interval for PV cleaning in the United Arab Emirates (UAE) climate. In this research, a dusting study experiment was carried out at the Renewable Energy Laboratory, Falaj Hazza Campus, UAE University, Al Ain, UAE, for 3.5 months, from 22 April 2018 to 7 August 2018. To measure the pure radiation losses caused by the dust, four transparent glasses were used to mimic the top glass cover of the PV modules. The dusting induced power losses were measured for four selected PV cleaning frequencies (10 days, 20 days, 1 month, and 3 months). This study revealed that up to 13% of power losses occurred in PV panels that remained dusty for 3 months, compared to panels that were cleaned daily. PV cleaning after 15 days brought the losses down to 4%, which was found the most feasible time for PV cleaning in this study, considering a reasonable balance between the cleaning cost and energy wasted due to soiling.


2020 ◽  
Vol 865 ◽  
pp. 111-115
Author(s):  
Khaled Osmani ◽  
Ahmad Haddad ◽  
Thierry Lemenand ◽  
Bruno Castanier ◽  
Mohamad Ramadan

The overall efficiency of a PV system is strongly affected by the PV cell raw materials. Since a reliable renewable energy source is expected to produce maximum power with longest lifetime and minimum errors, a critical aspect to bear in mind is the occurrence of PV faults according to raw material types. The different failure scenarios occurring in PV system, decrease its output power, reduce its life expectancy and ban the system from meeting load demands, yielding to severe consecutive blackouts. This paper aims first to present different core materials types, material based fault occurring on the PV cell level and consequently the fault detection techniques corresponding to each fault type.


Author(s):  
Danijel Topic ◽  
Nikolina Zovko ◽  
Goran Knezevic ◽  
Jurica Perko ◽  
Rebeka Raff ◽  
...  

2014 ◽  
Vol 86 ◽  
pp. 241-249 ◽  
Author(s):  
Santiago Silvestre ◽  
Mário Aires da Silva ◽  
Aissa Chouder ◽  
Daniel Guasch ◽  
Engin Karatepe
Keyword(s):  

Solar Energy ◽  
2013 ◽  
Vol 94 ◽  
pp. 119-127 ◽  
Author(s):  
Santiago Silvestre ◽  
Aissa Chouder ◽  
Engin Karatepe
Keyword(s):  

2017 ◽  
Vol 53 (3) ◽  
pp. 229-237 ◽  
Author(s):  
P. Jenitha ◽  
A. Immanuel Selvakumar
Keyword(s):  

2018 ◽  
Vol 31 (1) ◽  
pp. 63-74 ◽  
Author(s):  
Miodrag Forcan

Reduction of long-term degradation effects represents a long-time challenge in photovoltaic (PV) manufacturing industry. Modelling of long-term degradation types and their impact on maximum power of PV systems have been analysed in this article. Brief guidelines for PV cell-based modelling of PV systems have been illustrated. Special study case, PV string consisting of 12 PV modules, has been modelled in order to determine degradation and mismatch power losses. Modified methodology for prediction of annual energy production from PV string, based on horizontal irradiation and ambient temperature experimental measurements at the location of Belgrade, has been developed. Coefficient named ?degradation factor? has been introduced to include and validate degradation power losses. Economic considerations have indicated evident money income reduction, as a consequence of lower annual energy production related to long-term degradation.


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