Modeling of the Global Daily Horizontal Solar Radiation Data over Togo

Lare, Yendoubé; Sambiani, Kanlanféi; Amega, Kokou; Kabe, Moyème

doi:10.4236/epe.2021.1312028

Cited by 4 publications

(2 citation statements)

References 21 publications

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“…The rest of the stations indicated MAPE between estimated and measured solar radiation values to be lower than 10 %, hence showing very high predicting abilities as observed in other studies [17], [82] and [88]. The RSE for the models was found to be between 0.0346 % and 0.1537% showing very low values of the standard error relative to the estimated values, hence indicating high degrees of accuracy of estimation correlations in the models similar to values of RSE found in other studies by [26] and [84]. The RMSE for the models ranged from 0.7360 MJ/m 2 to 2.9454 MJ/m 2 and these values are within the recommended range for excellent solar predicting models from other similar studies [51] and [89], hence indicating good short-term predicting capabilities for all the models.…”

Section: Estimated Solar Radiation Valuessupporting

confidence: 80%

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Angstrom-Prescott Type Models for Predicting Solar Irradiation for Different Locations in Zimbabwe

Iradukunda¹,

Chiteka²

2023

sv-jme

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Adequate assessment of solar radiation data is crucial for planning and designing solar energy systems. However, a major challenge facing solar energy technologies is the availability of solar radiation data at the specific area of interest. In this paper solar radiation and sunshine duration data from 29 stations in Zimbabwe were used to generate both monthly and annual Angstrom-Prescott (A-P) type coefficients, a and b, that are location based. The coefficients were developed using linear correlation between the clearness index and sunshine duration. The adaptation relationship between satellite and ground-measured irradiation had an R2 of 0.6738. The correlation between the clearness index and the sunshine duration in most of the stations was fairly high with the highest coefficient of determination, R2, of 0.9030. The A-Pregression coefficient, a, generated using the data from each station ranged between 0.2252 and 0.3976, whereas the regression coefficient, b, ranged between 0.3218 and 0.6265. The estimated and measured values of global solar radiation, He, and Hm, respectively from each station were compared using the mean absolute percentage error (MAPE), the root mean square error (RMSE), the mean absolute error (MAE) and the relative standard error (RSE). The MAE values for the models ranged from 0.5438 MJ/m2 to 2.2845 MJ/m2. The MAPE indicated a range between 2.5642 % and 10.334 %. The RSE ranged between 0.0346 % and 0.1537% while the RMSE for the models ranged from 0.7360 MJ/m2 to 2.9454 MJ/m2. The statistical indicators showed results that were within the recommended range for solar radiation predicting models from similar studies.

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Section: Estimated Solar Radiation Valuessupporting

confidence: 80%

“…These empirical models are grouped into extensive categories according to their input meteorological parameters such as sunshine duration based models, cloud cover based models, latitude and temperature based models [25]. The main types of empirical models are based on sunshine, temperature and relative humidity [26] to [28].…”

Section: Introductionmentioning

confidence: 99%