Performance degradation of photovoltaic power system: Review on mitigation methods

Jamil, Wan Juzaili; Rahman, Hasimah Abdul; Shaari, Sulaiman; Salam, Zainal

doi:10.1016/j.rser.2016.09.072

Cited by 155 publications

(93 citation statements)

References 105 publications

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“…A large number of studies have been conducted in order to mitigate the dirt on the PV 3 panels. In a Malaysian case study, Jamil et al (2017) [56] presented a review of mitigation 4 methods that perform degradation of photovoltaic power systems. In EEUU, Mazumder The PV field could not receive a uniform irradiation in panels or single cells, working 18 at the same temperature.…”

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confidence: 99%

Condition monitoring system for solar power plants with radiometric and thermographic sensors embedded in unmanned aerial vehicles

Márquez

Ramírez

2019

Measurement

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9The photovoltaic solar energy industry is expanding, and there is therefore a need to 10 increase and improve its maintainability, operating costs, availability, reliability, safety, 11 life cycle, etc. The aim of this article is to design, develop and check a new condition 12 monitoring system to detect dust in solar photovoltaic panels. The condition monitoring 13 system uses a radiometric sensor connected to an Arduino platform. This novel approach 14 is based on emissivity analysis produced over a surface and characterized with a low 15 emissivity value when dust appears. A thermographic camera is also employed to validate 16 the results provided by the radiometric sensor. The system is designed to be embedded in 17 an unmanned aerial vehicle. Radiometric data is sent and analysed, Internet of Things is 18 employed, and thermograms are stored for further processing. Several scenarios with a 19 real solar panel are used in the experiments, in which the angles and distances of the 20 sensors and surface conditions are studied. An analysis of the radiometric sensor provides 21 accuracy results, and the presence of dust is identified in all scenarios.22

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confidence: 99%

Condition monitoring system for solar power plants with radiometric and thermographic sensors embedded in unmanned aerial vehicles

Márquez

Ramírez

2019

Measurement

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“…k dirt is associated to the percentage of soiling factor caused by the accumulation of dust and dirt on the PV surface. The accumulation of dust and dirt eventually limiting the penetration of solar energy, hence the energy output become reduces [24]. To calculate the expected AC Power using (2), k dirt value will be varied as 0.8, 0.85, 0.9 and 0.95.…”

Section: Fault Analytical Approachmentioning

confidence: 99%

An early fault detection approach in grid-connected photovoltaic (GCPV) system

Muhammad

Zainuddin

Jaaper

et al. 2020

IJEECS

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Faults in any components of PV system shall lead to performance degradation and if prolonged, it can leads to fire hazard. This paper presents an approach of early fault detection via acquired historical data sets of gridconnected PV (GCPV) systems. The approach is a developed algorithm comprises of failure detection on AC power by using Acceptance Ratio (AR) determination. Specifically, the implemented failure detection stage was based on the algorithm that detected differences between the actual and predicted AC power of PV system. Furthermore, the identified alarm of system failure was a decision stage which performed a process based on developed logic and decision trees. The results obtained by comparing two types of GCPV system (polycrystalline and monocrystalline silicon PV system), showed that the developed algorithm could perceive the early faults upon their occurrence. Finally, when applying AR to the PV systems, the faulty PV system demonstrated 93.38% of AR below 0.9, while the fault free PV system showed only 31.4% of AR below 0.9.

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“…However, the potential energy of photovoltaics depends not only on the available irradiation, but can also decrease due to aging and different types of defects over time. It is worth noting that a defect in single PV cell has an impact on the output performance of the whole PV panel and, therefore, on the performance of the entire PV plant [4]- [7]. Hence, it is important to detect faults and defects in PV panels.…”

Section: Introductionmentioning

confidence: 99%

Detecting Defects in Photovoltaic Cells and Panels With the Help of Time-Resolved Thermography Under Outdoor Environmental Conditions

Schuss

Remes

Leppänen

et al. 2020

2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)

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This paper investigates defects in photovoltaic (PV) cell and panels, in particular, the size and location of defects. We concentrate on characterising photovoltaics under outdoor environmental conditions with the help of synchronized thermography (ST) and time-resolved thermography (TRT). Infrared (IR) images are obtained under changing solar radiation levels and moderate wind speeds with the help of a portable IR-camera. We demonstrate that IR-images obtained outdoors by ST and TRT provide the same information in the same accuracy as IR-images recorded indoors. We elaborate the differences in parameters such as measurement time and region-of-interest (ROI) which need to be adjusted when moving from indoor to outdoor environments. Our technique allows maintenance staff to carry out measurements on the site of a PV power plant to identify PV panels with defects in an easy way.

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Performance degradation of photovoltaic power system: Review on mitigation methods

Cited by 155 publications

References 105 publications

Condition monitoring system for solar power plants with radiometric and thermographic sensors embedded in unmanned aerial vehicles

Condition monitoring system for solar power plants with radiometric and thermographic sensors embedded in unmanned aerial vehicles

An early fault detection approach in grid-connected photovoltaic (GCPV) system

Detecting Defects in Photovoltaic Cells and Panels With the Help of Time-Resolved Thermography Under Outdoor Environmental Conditions

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