Solar radiation model

Wong, Ling Tim; Chow, Wan Ki

doi:10.1016/s0306-2619(01)00012-5

Cited by 333 publications

(137 citation statements)

References 40 publications

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“…2,12,[15][16][17][18][19][20][26][27][28][29][30][31][32][33][34][35][36]57,58 These models are empirical, theoretical, or stochastic, leading to sophisticated models using neural networks and fuzzy logic algorithms. [21][22][23][24][25] The input data for such models include quantities such as the sunshine duration, the latitude and the longitude, the declination angle, the altitude, the cloudiness, the ambient temperature, the relative humidity, the atmospheric pressure, and precipitate water vapor.…”

Section: Brief Review Of the Modelsmentioning

confidence: 99%

“…2,4,6,[12][13][14] The monitoring of the solar radiation is realized by meteorological stations running in various geographical places in all countries which measure mainly global solar radiation and sunshine duration. The diffuse component of the solar radiation is measured by pyranometers with a shadow ring properly attached on to their frame or with shading disc on suntracker, spectroradiometers, etc.…”

Section: Introductionmentioning

confidence: 99%

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Monthly average daily global and diffuse solar radiation based on sunshine duration and clearness index for Brasov, Romania

Cotfas

Kaplani³

et al. 2014

Journal of Renewable and Sustainable Energy

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The main objective of this study is to develop single location appropriate models for the estimation of the monthly average daily global and diffuse horizontal solar radiation for Brasov, Romania. The study focuses particularly on models based on the sunshine duration and clearness index. The data used for the calibration of the models were collected during a period of 4 yr, between November 2008 and October 2012, at the Transilvania University of Brasov. The testing and validation of the models was carried out using data from the online SoDa database for Brasov for the year 2005. Different statistical error tests were applied to evaluate the accuracy of the models. The predicted values are also compared with values from three other known models concerning the global and diffuse solar radiation. A new mixed model was developed for the estimation of monthly average daily global horizontal solar radiation. The data processing was performed by means of a realtime interface developed with LabVIEW graphical programming language. The parameters taken into account were the relative sunshine, the clearness index, the extraterrestrial radiation, the latitude and the longitude. The methodology is simple and effective and may be applied for any region. Its effectiveness was proven through comparison with global models. V C 2014 AIP Publishing LLC.

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Section: Brief Review Of the Modelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Monthly average daily global and diffuse solar radiation based on sunshine duration and clearness index for Brasov, Romania

Cotfas

Kaplani³

et al. 2014

Journal of Renewable and Sustainable Energy

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“…Also note the inclusion of an optical efficiency, h . irradiance would be the long-term measured data at the site of the proposed solar system [73]. A meteorological database can also be used [74].…”

Section: The Sun As An Exergy Sourcementioning

confidence: 99%

A review on the thermodynamic optimisation and modelling of the solar thermal Brayton cycle

Roux

Bello‐Ochende

Meyer

2013

Renewable and Sustainable Energy Reviews

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Many studies have been published on the performance and optimisation of the Brayton cycle and solar thermal Brayton cycle showing the potential, merits and challenges of this technology. Solar thermal Brayton systems have potential to be used as power plants in many sun-drenched countries. It can be very competitive in terms of efficiency, cost and environmental impact. When designing a system such as a recuperative Brayton cycle there is always a compromise between allowing effective heat transfer and keeping pressure losses in components small. The high temperatures required in especially the receiver of the system presents a challenge in terms of irreversibilities due to heat loss. In this paper, the authors recommend the use of the total entropy generation minimisation method. This method can be applied for the modelling of a system and can serve as validation when compared with first-law modelling. The authors review various modelling perspectives required to develop an objective function for solar thermal power optimisation, including modelling of the sun as an exergy source, the Gouy-Stodola theorem and turbine modelling.With recommendations, the authors of this paper wish to clarify and simplify the optimisation and modelling of the solar thermal Brayton cycle for future work. The work is applicable to solar thermal studies in general but focuses on the small-scale recuperated solar thermal Brayton cycle.2

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“…Based on the mathematical forms, it can be classified as parametric (such as AngstromPrescott type methods) (Ertekin and Evrendilek, 2007) and non parametric (such as ANN based) (Fadare, 2009). ANN has shown its best efficiency tool to build the mathematical relationship using different input parameters (Wong and Chow, 2001) which have no specific relationship. Hence, there are several studies to estimate GSR using the ANN approach in many locations.…”

Section: Introductionmentioning

confidence: 99%

Estimation of net surface radiation using eddy flux tower data over a tropical mangrove forest of Sundarban, West Bengal

et al. 2016

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In this study, net surface radiation (R n ) was estimated using artificial neural network (ANN) and Linear Model (LM). Then, estimated R n with both the models (ANN and LM) were compared with measured R n from eddy covariance (EC) flux tower. The routinely measured meteorological variables namely air temperature, relative humidity and wind velocity were used as input to the ANN and global solar radiation as input to the LM. All the input data are from the EC flux tower. and coefficient of residual mass (CRM) between -0.007 and -0.04 respectively. Further we have computed modelling efficiency (0.97 for ANN and 0.99 for LM) and coefficient of determination (R 2 = 0.97 for ANN and 0.99 for LM) for both the models. Even though both the models could predict R n successfully, ANN was better in terms of minimum number of routinely measured meteorological variables as input. The results of the ANN sensitivity analysis indicated that air temperatuere is the more important parameter followed by relative humidity, wind speed and wind direction.

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Solar radiation model

Cited by 333 publications

References 40 publications

Monthly average daily global and diffuse solar radiation based on sunshine duration and clearness index for Brasov, Romania

Monthly average daily global and diffuse solar radiation based on sunshine duration and clearness index for Brasov, Romania

A review on the thermodynamic optimisation and modelling of the solar thermal Brayton cycle

Estimation of net surface radiation using eddy flux tower data over a tropical mangrove forest of Sundarban, West Bengal

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