Models for the estimation of diffuse solar radiation for typical cities in Turkey

Bakırcı, Kadir

doi:10.1016/j.energy.2015.01.093

Cited by 61 publications

(16 citation statements)

References 41 publications

(26 reference statements)

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“…The authors also developed a model that is capable of converting the horizontal global solar radiation to that of a radiation on a tilted surface. Comparison of different empirical models for modelling diffuse solar radiation on horizontal surface of Turkey has also been performed [13]. It was established therein that the best model is the 3 rd -order polynomial model based on sunshine duration and clearness index.…”

Section: Introductionmentioning

confidence: 99%

Prediction of monthly average global solar radiation based on statistical distribution of clearness index

Ayodele

Ogunjuyigbe

2015

Energy

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Section: Introductionmentioning

confidence: 99%

Prediction of monthly average global solar radiation based on statistical distribution of clearness index

Ayodele

Ogunjuyigbe

2015

Energy

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“…Examples of decomposition models are from Liu and Jordan [8], Erbs [9], and more recently from [4] and [10], while a comprehensive review is found in [11].…”

Section: Literature Reviewmentioning

confidence: 99%

Splitting the solar radiation in direct and diffuse components; insights and constrains on the clearness-diffuse fraction representation

Scarpa¹,

Marchitto²,

Tagliafico³

2017

IJHT

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In many engineering applications, it is mandatory to know separately the solar radiation diffuse and direct components. Examples regard the assessment of the energy potentially exploitable by a system of solar thermal or photovoltaic panels and, in general, all the cases where it is necessary to calculate the radiative solar power collected by a surface. In fact, radiation components will differently project on the surface of interest and will weigh in a different manner, depending on the surface orientation, in the computation of the effective incident radiation. To perform this decomposition starting from data relative to a horizontal plane, two non-dimensional quantities, namely, the diffuse fraction, kd, and the clearness, kt, are usually put in mutual relation by correlating experimental data on a graphical ground rather than using physical considerations. In the present study, some insights are given on the shape of this correlation starting from geometric and physical considerations. It is shown that many results and graphs presented in literature have not physical meaning; rather they are simply artifacts due to geometrical or other constraints. These evidences open the way to a new approach to solar radiation decomposition founded on physical-based correlations.

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“…This in turn requires associated solar radiation data which consists of two components: beam and diffuse. However, direct measurements of the radiation components are not readily affordable for long time periods at all interested locations in the world [6]. Alternatively, numerical techniques of estimation could be employed in order to find these components based on the most readily observed data: global solar radiation and atmospheric conditions.…”

Section: Introductionmentioning

confidence: 99%

Experimental Prediction of Hourly Diffuse Solar Radiation with Clearness Index in Baghdad (Iraq)

Al-Najjar¹,

Al-Khazzar²

2017

IJCA

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Design and simulation of solar energy installations need hourly data of diffuse and beam radiation components for assessing the dynamic behavior of those systems. However, the most widely available data is the global solar radiation. Whereas, diffuse and beam data are not readily affordable. Thus, numerous empirical models of correlations were developed at different sites in the world to predict the required radiation components. In the present paper, an hourly correlation expressed in a third-degree polynomial relating the diffuse fraction with the clearness index was developed based on field measurements of global and diffuse solar radiations in Baghdad city (33.33 o N), Iraq. The validation and accuracy of the developed correlation was evaluated using six widely used statistical parameters. Among these parameters, the values of linear coefficient of correlation, mean percentage error and root mean square error were found to be 0.885, 6.24% and 8.0% respectively which indicates good performance. In addition, eight different empirical diffuse models for various sites were chosen from the literature for statistical comparison with the developed correlation in this study. The best model was that of South America at site latitude 23.56 o S with mean percentage error 16% and root mean square error 11.5% which shows the largest agreement. A computer program was established for generating the necessary data for developing the required correlation and also for calculating the essential statistical evaluations and comparisons in the present work.

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Models for the estimation of diffuse solar radiation for typical cities in Turkey

Cited by 61 publications

References 41 publications

Prediction of monthly average global solar radiation based on statistical distribution of clearness index

Prediction of monthly average global solar radiation based on statistical distribution of clearness index

Splitting the solar radiation in direct and diffuse components; insights and constrains on the clearness-diffuse fraction representation

Experimental Prediction of Hourly Diffuse Solar Radiation with Clearness Index in Baghdad (Iraq)

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