Statistical analysis and inter-comparison of the global solar radiation at two sites in Cyprus

Kalogirou, Soteris A.; Pashiardis, Stelios; Pashiardi, A.

doi:10.1016/j.renene.2016.09.027

Cited by 25 publications

(25 citation statements)

References 19 publications

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“…The validity of this equation was verified by measured data [41,42]. Although some modifications were proposed by other researchers [42][43][44], the Collares-Pereira and Rabl equation is the most frequently used model for estimating the hourly global solar radiation.…”

Section: Estimation Model For Hourly Global Solar Radiationmentioning

confidence: 82%

Solar Radiation Parameters for Assessing Temperature Distributions on Bridge Cross-Sections

et al. 2018

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Solar radiation is one of the most important factors influencing the temperature distribution on bridge girder cross-sections. The bridge temperature distribution can be estimated using estimation models that incorporate solar radiation data; however, such data could be cost-or time-prohibitive to obtain. A review of literature was carried out on estimation models for solar radiation parameters, including the global solar radiation, beam solar radiation and diffuse solar radiation. Solar radiation data from eight cities in Fujian Province in southeastern China were obtained on site. Solar radiation models applicable to Fujian, China were proposed and verified using the measured data. The linear Ångström-Page model (based on sunshine duration) can be used to estimate the daily global solar radiation. The Collares-Pereira and Rabl model and the Hottel model can be used to estimate the hourly global solar radiation and the beam solar radiation, respectively. Three bridges were chosen as case study, for which the temperature distribution on girder cross-sections were monitored on site. Finite element models (FEM) of cross-sections of bridge girders were implemented using the Midas program. The temperature-time curves obtained from FEM showed very close agreement with the measured values for summertime. Ignoring the solar radiation effect would result in lower and delayed temperature peaks. However, the influence of solar radiation on the temperature distribution in winter is negligible.

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Section: Estimation Model For Hourly Global Solar Radiationmentioning

confidence: 82%

Solar Radiation Parameters for Assessing Temperature Distributions on Bridge Cross-Sections

et al. 2018

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“…Comparing the two sites it seems that Larnaca has slightly higher rates of global radiation than Athalassa, since the average yearly cumulative global irradiation is 6835 MJ m -2 for Athalassa and 7183 MJ m -2 for Larnaca. The monthly average frequency of days according to the classification of the magnitude of the daily clearness index K T (daily global to daily extraterrestrial radiation), showed that both clear and partially cloudy days exceed 90% annually (K T >0.35) [33].…”

Section: Topography and Climate Characteristics Of The Two Sitesmentioning

confidence: 99%

“…The difference between the UVA p and UVA measured values is greater in the spring and winter time, while during the summer the difference is small. This is attributed to the fact that during the summer almost all days are clear [33].…”

Section: Y X =mentioning

confidence: 99%

Untitled

2017

SM J Biometrics Biostat

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A statistical analysis and inter-comparison of the broadband ultraviolet-A (UVA) radiation at two sites in Cyprus representing two different climate regimes of the island (Athalassa-inland plain vs Larnaca-coastal location) covering the period January 2013-December 2015 is presented. Mean annual and mean monthly daily totals of the UVA irradiation and their frequency distribution at both sites are computed and discussed. Daily maximum of hourly average irradiance values occur in July, 58W m -2 and minimum, 22 W m -2 , in December at solar noon at Athalassa. The respective values at Larnaca are slightly higher (68 W m -2 and 28 W m -2 , respectively). UVA daily values follow the pattern of the solar altitude angle; the total accumulated UVA irradiation along a mean year reaches 385.8 MJ m -2 at Athalassa and 476.5 MJ m -2 ; maximum stability of UVA takes place at midday hours and during the summer. Large fluctuations of the daily UVA irradiation are observed in the winter and spring months, which are mainly due to unstable meteorological conditions during the transition from cold to warm weather and vice versa. During summer the daily UVA radiation exceeds the value of 1700 kJ m -2 at Athalassa and 2100 kJ m -2 at Larnaca, while during the winter season the lowest is about 250 kJ m -2 at both stations. The UVA potential and extraterrestrial irradiation have also been calculated in order to estimate the attenuation of UVA radiation through the atmosphere. The UVA transmittance, k UVA , is approximately 6 to 7% of the hemispherical transmittance for the whole spectrum (k t ). Statistical relationships between UVA and other radiation components were established using linear or power relationships.

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“…The accuracy of the model is evaluated with and without considering particulate matter as an input variable [12]. The input predictor clearness index and sunshine durationismostimportantinputvariabletoestimatediffused solar radiation for humidsub tropical climatic region [13,14,15]. Estimation of monthly global solar radiation by temperature and sunshine duration as an input parameter based model has analyzed for southern region of India [16,17,18].…”

Section: Introductionmentioning

confidence: 99%

Approximation of Empirical and ANN Based Solar Radiation Models for Four Smart Cities in Tamil Nadu with Most Prompting Input Parameters

2019

IJRTE

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The abundant source of Solar Radiation is possible in different latitude of Tamil Nadu. The several Empirical models have developed and accuracy of the model is further validated with Artificial Neural Network models. The ANN and Empirical model is developed with different combination of input attributes. The Approximate Sunshine Solar Radiation, Temperature and Relative Humidity are the input attributes. In this paper, it has been evaluated that combination of Approximate Sunshine Solar radiation and Temperature ANN based model is best for prediction of Daily Global Solar Radiation when compared to ST based Empirical model. The Correlation analysis is performedfor selection of most relevant input attributes. And hence the estimation of daily global solar radiation is performed with minimum number of input attributes. The training and testing of each model is performed by ANN Simulink model. And from this trainingofinputvariables,theoverfittingofthemodelisreduced. The estimated GSR is validated with experimental data which is collected from Tamil Nadu AgricultureUniversity.

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Statistical analysis and inter-comparison of the global solar radiation at two sites in Cyprus

Cited by 25 publications

References 19 publications

Solar Radiation Parameters for Assessing Temperature Distributions on Bridge Cross-Sections

Solar Radiation Parameters for Assessing Temperature Distributions on Bridge Cross-Sections

Untitled

Approximation of Empirical and ANN Based Solar Radiation Models for Four Smart Cities in Tamil Nadu with Most Prompting Input Parameters

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