The mean daily global Solar radiation flux is influenced by astronomical, climatological, geographical, geometrical, meteorological, and physical parameters. This paper deals with the study of the effects of influencing parameters on the mean daily global Solar radiation flux, and also with the computation of the Solar radiation flux at the surface of the earth in locations without Solar radiation measurements. The reference–real data were borrowed from the Iranian Meteorological Organization. The analysis of data showed that the mean daily Solar radiation flux on a horizontal surface is related to parameters such as: mean daily extraterrestrial Solar radiation, average daily ratio of sunshine duration, mean daily relative humidity, mean daily maximum air temperature, mean daily maximum dew point temperature, mean daily atmospheric pressure, and sine of the Solar declination angle. Multiple regression and correlation analysis were applied to predict the mean daily global Solar radiation flux on a horizontal surface. The models were validated when compared with the reference–measured data of global Solar radiation flux. The results showed that the models estimate the global Solar radiation flux within a narrow relative error band. The values of mean bias errors and root mean square errors were within acceptable margins. The predicted values of global Solar radiation flux by this approach can be used for the design and performance estimation in Solar applications. The model can be used in areas where meteorological stations do not exist and information on Solar radiation flux cannot be obtained experimentally.

Solar Energy is considered the cleanest and the most accessible Energy source in the world. Its application is also one of the best electrification and Energy transmission methods than other Energy transmission models for outlying villages in terms of costs, transportation, maintenance, and similar factors. Accordingly, one of the critical studies on the context of exploitation of this Energy is the possibility of establishing and identifying susceptive areas. In this study, the amount of Solar Energy entering the earth's surface and the number of cloudiness days were studied based on the studied area's meteorological data. Also, we designed and simulated Solar photovoltaic power plants through the Meteorological Data on Virtual model. The Solar analyzer function in the ArcGIS commercial closed environment was used to estimate the entering radiation to the earth's surface in the studied area. To study the number of cloudiness days has been used from the mentioned area's weather station data. The results showed that the Solar analyzer function showed four months of the year available for full exploitation of these systems. The highest amount of radiation occurred after July. Optimal radiation conditions continue until November. In some days of the remaining months, this Energy has been confronted with limitations. Nine villages were identified with the highest Solar power utilization in the present study. Villages include the following: Kuran, Hurseen, Bavan, Barduk, Betic, Mareush, Jolfan, Sin Abad and Gudel.

In Solar drying, the moisture content of a product is reduced through the use of sunlight. Solar drying is practiced since civilization for the drying of crops. The dried crop has a longer shelf life and requires less storage space. For crop drying, hot air is required in the moderate temperature range of 40 to 75℃. Solar dryer makes it possible to obtain better product quality. Over the past 20 years, numerous experimental projects have been carried out in the field of Solar dryers. Most conventional dryers are not able to operate continuously during the off sunshine time. However, attempts were made to develop uninterrupted Solar drying systems by incorporating an Energy storage facility and a hybrid mode of operation.  Sensible and latent heat storage methods are widely used to store Solar Energy. Heat storage materials store Energy in the form of heat during sunshine and release it whenever it is required. Biogas backup, Chemical heat pump, Photo Voltaic, and Fluidized bed methods were integrated with Solar dryers for uninterrupted operation. In this article, the discussion is made about different dryers. Also, the challenges and scope in the area of the Solar dryer are highlighted.