A new method for estimating solar radiation from bright sunshine data

Öğelman, H.; Ecevit, A.; Taşdemi̇roğlu, E.

doi:10.1016/0038-092x(84)90018-5

Cited by 233 publications

(60 citation statements)

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“…4°46′N, long. 7°10′E), a tropical location [5].. Ogelman et al (1984) model, Akinoglu and Fagbenle's (1990) model were compared with the ones developed for the Nigerian environment [5][6][7]. The results showed that the relationship between clearness index and relative shine in quadratic form is to some extent locality dependent.…”

Section: Background Of the Studymentioning

confidence: 99%

Performance Assessment Of Hargreaves Model In Estimating Global Solar Radiation In Sokoto, Nigeria.

2017

IJASRE

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BACKGROUND OF THE STUDYIn many applications of solar energy, the most important parameters that are often needed are the average global solar irradiation and its components. Unfortunately, the measurements of these parameters are done only at a few places. For this reason there have been attempts at estimating them from theoretical models. Latha et al., mentioned that these equations range from the most complex energy balance equations requiring detailed climatological data to simpler equations requiring limited data such as Hargreaves-Samani model [1][2]. Hargreaves-Samani's is widely used because it requires only input variable of minimum and maximum air temperatures and many researchers accepted that its GSR estimates correlate well with observed values in many locations [3].The extraterrestrial solar radiation is the rate at which solar energy arrives on a horizontal surface at the top of the atmosphere. It varies according to the latitude of the location, the distance of the Earth from the Sun, and the time of the year. On any particular day, it varies from zero at sunrise to a maximum at noon and back zero at sunset [4].Despite the large range of applications demanding solar radiation data, direct measurements of solar energy are not available. Thus use of numerical techniques becomes essential. With such indirect techniques, other meteorological parameters are mathematically exploited in order to estimate the amount of solar radiation reaching the earth surface.The estimation of daily global solar radiation has been reviewed in most of the researches based on the duration of sunshine, identifying the best model and determining different coefficients for several locations. There are several types of models (linear,

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Section: Background Of the Studymentioning

confidence: 99%

Performance Assessment Of Hargreaves Model In Estimating Global Solar Radiation In Sokoto, Nigeria.

2017

IJASRE

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“…En cuanto a las correlaciones propuestas por Ångström (1924), Ögelman et al, (1984Ögelman et al, ( ) y Benghamen et al (2009, la Figura 5 presenta las comparaciones entre las mediciones realizadas y las estimadas por el modelo. De ellas se puede inferir que en la regresión lineal entre la relación o razón de la radiación solar y la duración del sol se observa una baja relación, incrementándose ligeramente en la regresión cuadrática de estas mismas variables.…”

Section: Figura 4 Medias Mensuales De La Radiación Solar En Un Añounclassified

Determinación de un modelo paramétrico para estimar la radiación solar

et al. 2013

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ResumenLa radiación solar global se establece como una variable compleja de monitorear; su estimación es necesaria en el entendimiento de los procesos biológicos y químicos del ambiente; aunque dicha estimación se puede realizar mediante procesos de posicionamiento o formulas empíricas, la precisión de los resultados así obtenidos no es adecuada para el entendimiento de los procesos de evaluados. El objetivo del presente trabajo fue establecer un modelo estadístico para la estimación de la radiación solar global a partir de los datos meteorológicos alternos. La información meteorológica fue suministrada por el Instituto de Hidrología, Meteorología y Estudios Ambientales de Colombia [Ideam] y proviene de una estación que cuenta con la medición de las variables: radiación solar, temperatura, humedad relativa y horas de sol; Se plantearon las regresiones estadísticas sugeridas por Ångström-Prescott y Gueymard. Se evidenció poca relación entre las variables; el mejor ajuste se presentó en la regresión lineal entre la humedad relativa y la radiación solar, con un coeficiente R2 de 11.14%. Palabras ClaveRadiación Solar; estimación de la radiación solar; modelo Estadístico. AbstractGlobal solar radiation is set as monitor complex variables and their estimation is required in understanding the biological and chemical environment, the estimation process can be performed by positioning or empirical formulas, but the accuracy of the results obtained are not suitable for understanding processes evaluated. The aim of this study was to establish a statistical model for estimating global solar radiation from meteorological data alternates. Meteorological information was supplied by Instituto de Hidrología, Meteorología y Estudios Ambientales from Colombia, from one season to tell with the measurement of solar radiation, temperature, relative humidity and sunshine duration; statistical regressions were raised suggested by Ångström -Prescott and Gueymard. It showed little relationship between the variables, presenting the best fit linear regression between relative humidity and solar radiation with a coefficient R2 of 11.14 %. Keywords Solar radiation; solar radiation estimation; statistical model. Los autores agradecen a la Universidad de la Costa por el apoyo financiero recibido para el desarrollo del proyecto de investigación que da origen al presente artículo.

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“…Aksoy used SD data as a proxy to calculate SSR by using a modified version ofÖgelman's equation [15], which was summarized here in Section 1. Aksoy also used linear regression equations to analyze the trends of the datasets and found a diming trend with a value of -3.4% in the mentioned period.…”

Section: Discussionmentioning

confidence: 99%

“…These datasets were obtained from the Turkish State Meteorological Service (TSMS). In this study, SSR values were estimated from SD data by using a modified version of the Angström-type equation ofÖgelman et al [15] for monthly averages. The estimated set of SSR data for 34 stations was analyzed by Aksoy and the results were as follows [11]: for most of the stations, yearly averages of SSR values had negative trends in autumn and summer, and most of stations had no trend in winter and spring averages.…”

Section: Introductionmentioning

confidence: 99%

Conceptual modelling of Lake Manyas, Turkey

Karafistan¹

2013

Turkish J Eng Env Sci

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Accurate knowledge of solar irradiation reaching the earth's surface is one of the most important pieces of information to use in global warming studies. In this respect, trend analysis of solar irradiation data for the long term is an essential evaluation method of climate change. Sunshine duration data have been recorded for many years, directly correlated to solar irradiation. Therefore, trend analysis of sunshine duration data is also an important research topic of climate change. Global research from different regions of the earth showed diming (1950s to about 1980s) and brightening (about 1980s to recent years) periods in solar irradiation. The present work aims to obtain the trends of the measured sunshine duration over Turkey. Seasonal and yearly bright sunshine hours of 36 selected stations are used and quite similar trends are seen. A decreasing trend (between 1970 to about 1990) is clearly identified for most of the stations. Nevertheless, the increasing period after 1990 is not so clear; however, we observed either zero trend variation or a reduction in the rate of decrease of sunshine duration for most of the locations. The decreasing period might be attributed to human-induced air pollution.

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A new method for estimating solar radiation from bright sunshine data

Cited by 233 publications

References 10 publications

Performance Assessment Of Hargreaves Model In Estimating Global Solar Radiation In Sokoto, Nigeria.

Performance Assessment Of Hargreaves Model In Estimating Global Solar Radiation In Sokoto, Nigeria.

Determinación de un modelo paramétrico para estimar la radiación solar

Conceptual modelling of Lake Manyas, Turkey

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