Modeling and analysis of dust and temperature effects on photovoltaic systems’ performance and optimal cleaning frequency: Jordan case study

Hammad, Bashar; Al-Abed, Mohammad A.; Al-Ghandoor, A.; Al-Sardeah, Ali; Al–Bashir, Adnan

doi:10.1016/j.rser.2017.08.070

Cited by 140 publications

(63 citation statements)

References 75 publications

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“…The rooftop system is installed at the Hashemite University (HU) in Zarqa, Jordan, at latitude of 32.1022 • N, longitude of 36.1850 • E and an altitude of 575 m. The system is grid-connected, consisting of 28 modules of a nominal power of 285 Wp (STP285-24/Vd) [54] wired in two strings with a nominal system power of 7.98 kWp, as pictured in Figure 1 [55]. The tilt angle of the system is 26 • , which is equivalent to 0 • azimuth angle.…”

Section: Experimental Setup and Data Collectionmentioning

confidence: 99%

Modeling and Analysis Framework for Investigating the Impact of Dust and Temperature on PV Systems’ Performance and Optimum Cleaning Frequency

et al. 2019

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This paper proposes computational models to investigate the effects of dust and ambient temperature on the performance of a photovoltaic system built at the Hashemite University, Jordan. The system is connected on-grid with an azimuth angle of 0° and a tilt angle of 26°. The models have been developed employing optimized architectures of artificial neural network (ANN) and extreme learning machine (ELM) models to estimate conversion efficiency based on experimental data. The methodology of building the models is demonstrated and validated for its accuracy using different metrics. The effect of each parameter was found to be in agreement with the well-known relationship between each parameter and the predicted efficiency. It is found that the optimized ELM model predicts conversion efficiency with the best accuracy, yielding an R2 of 91.4%. Moreover, a recommendation for cleaning frequency of every two weeks is proposed. Finally, different scenarios of electricity tariffs with their sensitivity analyses are illustrated.

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Section: Experimental Setup and Data Collectionmentioning

confidence: 99%

Modeling and Analysis Framework for Investigating the Impact of Dust and Temperature on PV Systems’ Performance and Optimum Cleaning Frequency

et al. 2019

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“…The initial cost incurred for the installations of the proposed mechanism was around 5336.22 USD. Additionally, considering reasonable and acceptable values of cleaning costs of 0.212 USD/kWp in the MENA region during the study period [13], some research [17] implied that, if the hand cleaning could be carry out on an hourly basis in each day of a year, the cost incur for the hand cleaning would be 0.212 × 10 × 365 = 7738 USD/kWp (assuming that the cleaning is carried out 10 h/day-it is indeed known that the dust accumulation will be relevant on certain days of the year, but this is only for clarification purposes). In addition, one should also consider the fact that the proposed cleaning mechanism requires a predetermined schedule of maintenance interventions, for example, the wiper blade should be checked every six months and replaced once a year (which would cost around 56-89 USD), the rubber squeegee and the metal frames should be checked to avoid problems such as streaking, skipping, chattering, etc.…”

Section: Experimental Workmentioning

confidence: 99%

“…Additionally, an investigation on the performance losses due to dust through a dynamic study into the I-V characteristics of panels and their performance under varying soiling conditions was conducted by Rao et al [16]. Moreover, Hammad et al [17] studied effects of dust accumulation and ambient temperature on PV performance. The average efficiency reductions due to dust were 0.768%/day and 0.607%/day using MLR and ANN models, and the energy losses are 10.282 kWh/m 2 and 8.140 kWh/m 2 .…”

Section: Introductionmentioning

confidence: 99%

Assessment of Existing Photovoltaic System with Cooling and Cleaning System: Case Study at Al-Khobar City

2019

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There is no denial that renewable energy is considered to be the most cost-competitive source of clean power in many parts of the world. Saudi Arabia’s vision 2030 aims at achieving the best by using different sources of renewable energy such as solar energy, wind energy, and others. The use of solar energy in particular for power generation will decrease the dependency on oil, and thus, decrease the greenhouse gasses. Solar panels efficiency tends to decrease with the accumulation of dust on their surface. Thus, a cleaning process requires assigning and employing labor, which increases the cost of running as well as high cost of machinery. The current study focuses on assessing and designing a simple auto self-cleaning system in order to improve the efficiency of the solar panel. The results showed that for the Al-Khobar region, Eastern Province, Kingdom of Saudi Arabia, the efficiency of the solar panels after cleaning was increased from 6% to an average of 12% at nominal temperature of 27 °C. In addition, the average power output was increased by 35% during the day time. In addition, the normal efficiency of the solar panels before cooling was between 10% to 15% at 42 °C. After cooling, the temperature of solar cells decreased to 20 °C and the efficiency increased by 7%. Moreover, the output power was increased by 31% with maximum efficiency of 32% at noon time.

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“…The results show that in addition to the cell technology, climate parameters including dust and temperature have a significant impact. A review conducted in the Middle East and North Africa region related to the effects of dust accumulation and ambient temperature on PV performance was developed by using multivariate linear regression and artificial neural network techniques [11]. In [12] a review associated with the studying of the effects of the environmental variables such as accumulative dust, wind speed, ambient temperature and humidity, as well as the tilt angle, orientation and surface properties of the dust that settles on the PV modules is presented.…”

Section: Introductionmentioning

confidence: 99%

Impact of dust and temperature on energy conversion process in photovoltaic module

et al. 2019

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Original scientific paper https://doi.org/10.2298/TSCI19S4199JThe impact of the photovoltaic module temperature and natural dust deposition on the module front surface on the photovoltaic system performance was investigated. The study was conducted in the city center of Krakow, Poland, characterized by high pollution and low wind speed. The objective of this study was to evaluate the photovoltaic module power output decrease and energy conversion loss as a function of the dust deposition mass and cell operating temperature. The results show a significant decrease in photovoltaic efficiency when the mass deposition or temperature increases. The maximum mass deposition observed for exposure periods of one week on a single module exceeds 480.0 mg and results in an efficiency loss equal to 2.1%. The results that were obtained enable the development of a correlation for the efficiency loss caused by dust deposition which is desired by the system designers.

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Modeling and analysis of dust and temperature effects on photovoltaic systems’ performance and optimal cleaning frequency: Jordan case study

Cited by 140 publications

References 75 publications

Modeling and Analysis Framework for Investigating the Impact of Dust and Temperature on PV Systems’ Performance and Optimum Cleaning Frequency

Modeling and Analysis Framework for Investigating the Impact of Dust and Temperature on PV Systems’ Performance and Optimum Cleaning Frequency

Assessment of Existing Photovoltaic System with Cooling and Cleaning System: Case Study at Al-Khobar City

Impact of dust and temperature on energy conversion process in photovoltaic module

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