2017
DOI: 10.1016/j.renene.2017.01.061
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Daily global solar radiation estimation in desert areas using daily extreme temperatures and extraterrestrial radiation

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Cited by 87 publications
(22 citation statements)
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“…Also, the solar irradiance and irradiation distribution were predicted using a Gaussian function. The trend of the chart tends to correspond with the solar radiation distribution in the southern hemisphere [33]. In other words, a relatively lower solar irradiance of an average of 140.5 W/m 2 was observed in June, July, and August, whereas the rest of the months had an average of 192.8 W/m 2 .…”
Section: Results and Discussion 41 Ambient Solar Radiation Analysismentioning
confidence: 63%
“…Also, the solar irradiance and irradiation distribution were predicted using a Gaussian function. The trend of the chart tends to correspond with the solar radiation distribution in the southern hemisphere [33]. In other words, a relatively lower solar irradiance of an average of 140.5 W/m 2 was observed in June, July, and August, whereas the rest of the months had an average of 192.8 W/m 2 .…”
Section: Results and Discussion 41 Ambient Solar Radiation Analysismentioning
confidence: 63%
“…Firstly, as the model is based on the digital model of the surface (in this case roofs), it does not take into account the weather conditions that have a significant impact on the actual solar radiation [47]. This aspect may increase due to future climate change and a constantly increasing amount and duration of periods with extreme weather [48][49][50][51]. As Ohunakin et al [48] presented, considering future changes of solar radiation is a common element in the recent studies on the effect of climate change on solar radiation.…”
Section: Discussionmentioning
confidence: 99%
“…Hence, estimating solar radiation by correlating it with routine meteorological measurements such as sunshine duration, temperature, and relative humidity is an alternative way to obtain the desired solar radiation data when there is no record of measurement, and various models have been proposed and developed (Besharat et al 2013;Despotovic et al 2015;Zhang et al 2017;Chen et al 2019). Generally, the types of models used to estimate solar radiation can be classified into machine learning models (Kumar et al 2015;Mohammadi et al 2015;Yao et al 2018), remote sensing retrievals (Alonso-Montesinos et al 2015), radiative transfer models (Gueymard 2001), and empirical models (Despotovic et al 2015;Marzo et al 2017;Zhang et al 2017). Among the abovementioned types of models, empirical models with concise mathematical formulas are the most commonly utilized because the inputs of these models are readily available and have low computational costs (Jahani et al 2017;Chen et al 2019;Jahani and Mohammadi 2019).…”
Section: Introductionmentioning
confidence: 99%