Evaluation of hourly solar radiation on inclined surfaces at Seoul by Photographical Method

Mathematical study of the movement of solar tracking systems based on rational models

“…Klucher (1979), Loutzenhiser et al (2007) and Yoon et al (2014) compare the irradiance models with a series of measures recorded in different localities for the most explanatory irradiance model. Yadav and Chandel (2013), Ahmad andTiwari (2009), Tsalides andThanailakis (1985), Evseev andKudish (2009), Khorasanizadeh et al (2014), Stanciu and Stanciu (2014) and Bakirci (2012) have used these models to determine the optimal inclination of collectors in different localities.…”

A Study on the Prediction of the Optimum Performance of a Small-Scale Desalination System Using Solar Heat Energy

“…Yoon et al [9] developed an algorithm to calculate the cloud cover for estimating the solar thermal energy which passes through the atmosphere and reaches the ground surface. Khorasanizadeh et al [10] proposed a diffuse solar radiation estimation model for Tabass, Iran and calculated the solar radiation on inclined surfaces based on each installation angle of a solar thermal collector.…”

A methodology for normal distribution-based statistical characterization of long-term insolation by means of historical data

“…However, for the renewables to reach a more prominent role in the world's overall energy production, it is necessary to compensate for some of their inherent shortcomings. For example, solar energy is only available at certain intervals during the day, and the available energy is highly-dependent on geographical location (Li et al, 2013;Yoon et al, 2014), cloud cover patterns (Adaramola, 2012;El-Sebaii et al, 2010), terrain configuration (Araya-Munoz et al, 2014), surface tilting (ArayaMunoz et al, 2014;Ismail et al, 2013;McKenney et al, 2008), and microclimatic conditions such as air temperature, wind and relative humidity (Li et al, 2013;Polo et al, 2011). Since it is virtually impossible to accurately predict the local microclimatic conditions over the whole span of solar system utilization, these effects would likely have a significant impact on the availability of solar energy.…”

“…Hence, numerous efforts have been dedicated to precise characterization and prediction of solar energy production potentials, which included; (i) solar irradiation estimation based on photographic data while also taking into account local shading and albedo effects (Yoon et al, 2014); (ii) satellite imaging-based solar irradiation estimation (Adaramola, 2012;Polo et al, 2011); (iii) utilization of neural networks for global daily solar radiation estimation based on ground-level solar radiation measurements (Yacef et al, 2014), or meteorological satellite imaging data (Linares- Rodriguez et al, 2013). Other practical approaches to global solar radiation prediction included linear regression modeling (Adaramola, 2012;Almorox et al, 2013) based on sunshine hours, temperature, cloudiness, humidity and other local meteorological data.…”

“…The utilization of meteorological satellite data, especially those obtained from open-source data archives, such as NASA's Surface meteorology and Solar Energy database (NASA SSE Website, 2006), should be preferred for global solar irradiation modeling (Adaramola, 2012;Linares-Rodriguez et al, 2013;Polo et al, 2011;Yacef et al, 2014) during the solar power system design optimization stage. On the other hand, the locale-specific modeling which focuses on the terrain configuration and local shading/albedo effects (Li et al, 2013;Yoon et al, 2014) would be more valuable in the solar system building and commissioning phase. Moreover, meteorological satellite data, collected and systematized over a relatively long period of time (e.g.…”