Ground level solar radiation prediction model including cloud cover effects

Brinsfield, R. B.; Yaramanoglu, Melih; Wheaton, F. W.

doi:10.1016/0038-092x(84)90003-3

Cited by 44 publications

(14 citation statements)

References 7 publications

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“…In many Ångström-Prescott like-type equations the total cloud cover amount C is used instead of the relative sunshine (Haurvitz 1945;Lumb 1964;Kasten and Czeplak 1980;Brinsfield et al 1984). For example, Kasten and Czeplak (1980) …”

Section: Cloud Cover Amount Based Correlationsmentioning

confidence: 98%

Weather Modeling and Forecasting of PV Systems Operation

Paulescu¹,

Paulescu²,

Gravila³

et al. 2013

Green Energy and Technology

138

103

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Section: Cloud Cover Amount Based Correlationsmentioning

confidence: 98%

Weather Modeling and Forecasting of PV Systems Operation

Paulescu¹,

Paulescu²,

Gravila³

et al. 2013

Green Energy and Technology

138

103

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“…These models use the daily air temperature range to estimate atmospheric transmissivity: on the one hand, cloud cover decreases daily maximum temperature because of the smaller input of short wave radiation; on the other hand, cloud cover increases the minimum air temperature during night time because of the greater emissivity of clouds compared to a clear sky. Examples of this approach are the works of Brinsfield et al (1984), Bristow and Campbell (1984), Hargreaves et al (1985), Donatelli and Marletto (1994), Donatelli and Campbell (1998). Other methods also use rainfall measurements (Hodges et al, 1985;Reddy, 1987;McCaskill, 1990;Bindi and Miglietta, 1991;Hook and McClendon, 1992;Nikolov and Zeller, 1992;Elizondo et al, 1994).…”

Section: Introductionmentioning

confidence: 99%

Modelling, interpolation and stochastic simulation in space and time of global solar radiation

Bechini¹,

Ducco

Donatelli

et al. 2000

Agriculture, Ecosystems & Environment

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“…In contrast, once the value of cloud cover attains intermediate range values, the diffuse solar irradiance (sky radiation) starts growing in the sky until mounting to a maximum value at high range values of cloud cover, or fading to zero at the overcast sky condition [24]. Because of that, the sky state study, based on the temporal and spatial distribution modeling of clouds, is crucial to estimate the availability of all radiation types at a specific site [25]. The various concepts of cloud detection and classification have been discussed, various techniques were developed for cloud classification based on instruments (ground-based, satellite integrated) that used to determine the state of the sky [26][27][28].…”

Section: Existing Models and Methodsmentioning

confidence: 99%

Models and hierarchical methodologies for evaluating solar energy availability under different sky conditions toward enhancing concentrating solar collectors use: Texas as a case study

Al-Aboosi

2019

Int J Energy Environ Eng

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The precise estimation of solar radiation data is substantial in the long-term evaluation for the techno-economic performance of solar energy conversion systems (e.g., concentrated solar thermal collectors and photovoltaic plants) for each site around the world, particularly, direct normal irradiance which is utilized commonly in designing solar concentrated collectors. However, the lack of direct normal irradiance data comparing to global and diffuse horizontal irradiance data and the high cost of measurement equipment represent significant challenges for exploiting and managing solar energy. Consequently, this study was performed to develop two hierarchical methodologies by using various models, empirical correlations and regression equations to estimate hourly solar irradiance data for various worldwide locations (using new correlation coefficients) and different sky conditions (using cloud cover range). Additionally, the preliminary assessment for the potential of solar energy in the selected region was carried out by developing a comprehensive analysis for the solar irradiance data and the clearness index to make a proper decision for the capability of utilizing solar energy technologies. A case study for the San Antonio region in Texas was selected to demonstrate the accuracy of the proposed methodologies for estimating hourly direct normal irradiance and monthly average hourly direct normal irradiance data at this region. The estimated data show a good accuracy comparing with measured solar data by using locally adjusted coefficients and different statistical indicators. Furthermore, the obtained results show that the selected region is unequivocally amenable to harnessing solar energy as the prime source of energy by utilizing concentrating and non-concentrating solar energy systems.

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Ground level solar radiation prediction model including cloud cover effects

Cited by 44 publications

References 7 publications

Weather Modeling and Forecasting of PV Systems Operation

Weather Modeling and Forecasting of PV Systems Operation

Modelling, interpolation and stochastic simulation in space and time of global solar radiation

Models and hierarchical methodologies for evaluating solar energy availability under different sky conditions toward enhancing concentrating solar collectors use: Texas as a case study

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