A review of solar energy modeling techniques

Khatib, Tamer; Mohamed, Azah; Sopian, Kamaruzzaman

doi:10.1016/j.rser.2012.01.064

Cited by 259 publications

(98 citation statements)

References 53 publications

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“…As it can be seen, the proposed model is more accurate than the other two models. However, 5 International Journal of Photoenergy for the three models the prediction's accuracy is lower on cloudy days than on sunny days but still acceptable as most of the solar radiation prediction model's accuracies degraded on cloudy days [52][53][54].…”

Section: Prediction Of Hourly Global Solar Irradiation Frommentioning

confidence: 99%

Learning Processes to Predict the Hourly Global, Direct, and Diffuse Solar Irradiance from Daily Global Radiation with Artificial Neural Networks

Loutfi

Bernatchou

Raoui

et al. 2017

International Journal of Photoenergy

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This paper presents three different topologies of feed forward neural network (FFNN) models for generating global, direct, and diffuse hourly solar irradiance in the city of Fez (Morocco). Results from this analysis are crucial for the conception of any solar energy system. Especially, for the concentrating ones, as direct component is seldom measured. For the three models, the main input was the daily global irradiation with other radiometric and meteorological parameters. Three years of hourly data were available for this study. For each solar component's prediction, different combinations of inputs as well as different numbers of hidden neurons were considered. To evaluate these models, the regression coefficient (R 2 ) and normalized root mean square error (nRMSE) were used. The test of these models over unseen data showed a good accuracy and proved their generalization capability (nRMSE = 13.1%, 9.5%, and 8.05% and R = 0.98, 0.98, and 0.99) for hourly global, hourly direct, and daily direct radiation, respectively. Different comparison analyses confirmed that (FFNN) models surpass other methods of estimation. As such, the proposed models showed a good ability to generate different solar components from daily global radiation which is registered in most radiometric stations.

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Section: Prediction Of Hourly Global Solar Irradiation Frommentioning

confidence: 99%

Learning Processes to Predict the Hourly Global, Direct, and Diffuse Solar Irradiance from Daily Global Radiation with Artificial Neural Networks

Loutfi

Bernatchou

Raoui

et al. 2017

International Journal of Photoenergy

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“…Produced output current can be used through external electrical circuit. Solar panels must be slanted and oriented at optimum angles so as to collect the maximum solar energy available in a specific region [2]. The orientation and the tilt of a solar panel strongly affect the amount of the collected yield.…”

Section: Photovoltaic Systemmentioning

confidence: 99%

River Debris Management System using Off-Grid Photovoltaic Module

et al. 2017

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Abstract. In Malaysia, Malacca River has long been the tourism attraction in Malacca. However, due to negligence, the river has been polluted by the litters thrown by tourists and even local residents, thus reflects a negative perception on Malacca. Therefore, this paper discusses about a fully automated river debris management system development using a stand-alone photovoltaic system. The concept design is to be stand alone in the river and automatically pull debris towards it for disposal. An off-grid stand-alone photovoltaic solar panel is used as renewable energy source connected to water pump and Arduino Uno microcontroller. The water pump rotates a water wheel and at the same time moves a conveyor belt; which is connected to the water wheel by a gear for debris collection. The solar system sizing suitable for the whole system is shown in this paper. The dumpster barge is equipped with an infrared sensor to monitor maximum height for debris, and instruct Arduino Uno to turn off the water pump. This system is able to power up using solar energy on sunny days and using battery otherwise.

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“…Diffuse radiation is usually measured by pyranometers and solarimeters. These measuring devices are usually installed at selected sites in a specific region and it is not feasible to install them at many sites due to the high cost of these devices [1].…”

Section: Introductionmentioning

confidence: 99%

“…The linear models use the simple linear function, while the nonlinear models use the polynomial function of the third or fourth degree [1].…”

Section: Introductionmentioning

confidence: 99%