A New Model of Global Solar Radiation based on Meteorological Data in Bejaia City (Algeria)

Ouali, Kheireddine; Alkama, Rezak

doi:10.1016/j.egypro.2014.06.082

Cited by 18 publications

(14 citation statements)

References 10 publications

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“…Chen and Li [20] evaluated some modifications to the H-S model by introducing relative humidity and vapor pressure and reported similar conclusion to ours. Ouali and Alkama [104] discovered that the application of precipitation enhanced the performance of temperature models in Algeria, which is in agreement with our results. While Chen and Li [20] found the modification to the H-S model by introducing precipitation gave similar performance to the H-S model.…”

Section: Resultssupporting

confidence: 92%

“…However, the model STRPr1, as well as other STRPr models in group 13, showed better performances than the A-P model at Chongqing and Yichang. Ouali and Alkama [104] evaluated the performances of models STRP1, STRPW1, STRPW2 and STR7, and found that addition of precipitation and wind velocity increased the accuracy of the model employing sunshine fraction, temperature and relative humidity in Nigeria. Such models were found performing similarly in our study.…”

Section: Resultsmentioning

confidence: 99%

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Empirical models for estimating monthly global solar radiation: A most comprehensive review and comparative case study in China

Chen

He²,

Yang

et al. 2019

Renewable and Sustainable Energy Reviews

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Global solar radiation is a core component of scientific research and engineering application across a broad spectrum. However, its measurement is limited by a small number of observation stations due to the technical and financial restricts. Estimating solar radiation with the meteorological variables using empirical models is of benefit to obtain solar radiation data at global scale. Yet, there are various options of available empirical models to select the most suitable one. This study conducted a most comprehensive collection and review of empirical models employing the commonly measured meteorological variables and geographic factors. A total of 294 different types of empirical models were collected and classified into 37 groups according to input attributes. Such collection built an empirical model library providing an overall overview of the developed emperical models in literatures. Furthermore, the collected models were calibrated and evaluated at three meteorological stations in the Three Gorges Reservoir area in China. This study suggests that these model-comparing processes can assist the governments, scientists and engineers in tailoring the most fitted model for specific applications and in particular areas.

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Section: Resultssupporting

confidence: 92%

Section: Resultsmentioning

confidence: 99%

Empirical models for estimating monthly global solar radiation: A most comprehensive review and comparative case study in China

Chen

He²,

Yang

et al. 2019

Renewable and Sustainable Energy Reviews

View full text Add to dashboard Cite

show abstract

“…where; T B is effective at-satellite temperature in degree Kelvin as computed in Equation (3), λ = wavelength of emitted radiance (for which the peak response and the average of the limiting wavelengths (λ = 11.45 μm) [35] was used, The mean values of the extracted LST data were compared to that of NDVI and BUI respectively in each repression relation through correlation coefficients, r [36] and coefficient of determinant, r 2 [37]. …”

Section: Discussionmentioning

confidence: 99%

Spatio-Temporal Variability in Land Surface Temperature and Its Relationship with Vegetation Types over Ibadan, South-Western Nigeria

Fabeku¹,

Balogun²,

Adegboyega³

et al. 2018

ACS

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Ibadan has experienced a rapid urbanization over the past few decades due to heavy influx of people from different parts of the country as a result of improved economy of the region. This development induced a great change in land use and land cover over the region which has become a major environmental concern recently. This study assessed Land Surface Temperature (LST) and its spatio-temporal relationship with land cover type over Ibadan. Land use/Land cover dynamics were assessed using index maps generated from Landsat Satellite data (TM, ETM+ and OLI) of Ibadan. The corrected thermal Infrared bands of the Landsat data were used to retrieve LST. The results revealed a notable increase in built-up areas from 5.64% of the total land cover area in 1984 to 14.05% in 2014. This change has caused increase in surface temperature of Ibadan from 3.56˚C to 8.54˚C between 1984 and 2014 respectively. The study recorded a continuous decrease in the vegetal part of Ibadan (from 43.28% in 1984 to 14.76 in 2014) which could be attributed to anthropogenic activities as the vegetated land area lost was been converted to other form of land use. The change was found to be positively correlated to the surface temperature intensity over the region with correlation coefficient, r value of 0. 9251, 0.8256 and 0.7017 in 1984, 2000 and 2014 respectively. It is recommended that Policies should be considered for planting trees, new guidelines for urban landscape design and construction.

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“…Falayi et al [31] observed that the combination of sunshine duration, temperature and relative humidity yielded better precision than other models in Nigeria. Ouali and Alkama [32] evaluated the performances of 4 models and reported that inclusion of precipitation and wind velocity increased the accuracy of the models employing sunshine fraction in Nigeria.…”

Section: Introductionmentioning

confidence: 99%

Coupling meteorological variables with Moderate Resolution Imaging Spectroradiometer atmospheric products for estimating global solar radiation

Chen

He²,

Yang

et al. 2020

Energy Conversion and Management

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Global solar radiation is a crucial variable for scientific researches and solar energy application, while it is measured at very few sites mainly due to the technical and fiscal obstacles.Developing robust and accurate models for estimating global solar radiation had been being a focus for many studies. This study was conducted to develop integrated models combining Moderate Resolution Imaging Spectroradiometer atmospheric products and meteorological variables. 43 empirical models based on the meteorological variables were collected. A total of 645 integrated models incorporating atmospheric constituents into the empirical models were developed. The researched models were evaluated and compared at Chongqing in Three Gorges Reservoir Area, China. The results showed that the integrated models outperformed the empirical models. The best integrated model had the root mean square error of 0.817 MJ m -2 and relative root mean square error of 8.11%. On average, the integrated models had the root mean square error of 1.071 MJ m -2 , 15.6% smaller than the empirical models. The results suggest that coupling Moderate Resolution Imaging Spectroradiometer atmospheric products with meteorological variables can enhance the performance of the conventional empirical models, which may provide a promising alternative to generate global solar radiation data with better accuracy.

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A New Model of Global Solar Radiation based on Meteorological Data in Bejaia City (Algeria)

Cited by 18 publications

References 10 publications

Empirical models for estimating monthly global solar radiation: A most comprehensive review and comparative case study in China

Empirical models for estimating monthly global solar radiation: A most comprehensive review and comparative case study in China

Spatio-Temporal Variability in Land Surface Temperature and Its Relationship with Vegetation Types over Ibadan, South-Western Nigeria

Coupling meteorological variables with Moderate Resolution Imaging Spectroradiometer atmospheric products for estimating global solar radiation

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