General models for estimation of the monthly mean daily diffuse solar radiation (Case study: Algeria)

Boukelia, Taqiy Eddine; Mecibah, Mohamed-Salah; Meriche, Imad Eddine

doi:10.1016/j.enconman.2014.02.035

Cited by 73 publications

(24 citation statements)

References 17 publications

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“…Apart from Liu and Jordan [11], those fitted by Page [55] and Iqbal [56] seem to be universally applicable. However, models fitted by numerous researches in Africa [34,[37][38][39][57][58][59][60] yielded better performance and high accuracy in the fitted sites as compared to reported models in literature that seem to be universally applicable. This result is in agreement with the report in most African countries [33, 43-44, 59, 61-64] confirming that diffuse solar radiation is dependent on the local climate and geographical information of a given site.…”

Section: Groupmentioning

confidence: 99%

A review of regression models employed for predicting diffuse solar radiation in North-Western Africa

2017

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The knowledge of diffuse solar radiation (Hd) is of almost importance for determining the gross primary productivity, net ecosystem, exchange of carbon dioxide, light use efficiency and changing colour of the sky. However, routine measurement of Hd is not available in most locations in North-Western Africa. During the past 36 years in order to predict Hd in the horizontal surface on hourly, daily and monthly mean basis, several regression models have been developed for numerous locations in NorthWestern Africa. As a result, several input parameters have been utilized and different functional forms applied. The regression models so far utilized were classified into six main categories and presented based on the input parameters applied. The models were further reclassified into numerous main groups and finally represented according to their developing year. In general, 188 regression models, 33 functional forms and 20 groups were reported in literature for predicting Hd in NorthWestern Africa. The regression and soft computing models developed within North-Western Africa and across the globe were examined in order to determine the best technique of prediction. The result revealed that soft computing models are more suitable for predicting Hd in North-Western Africa and across the globe.

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Section: Groupmentioning

confidence: 99%

A review of regression models employed for predicting diffuse solar radiation in North-Western Africa

2017

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“…Estimation of monthly mean daily diffuse irradiance on horizontal surface H D [22] H D ¼ 0:337 À 0:068 …”

Section: Dni Estimation Proceduresmentioning

confidence: 99%

Management and exploitation of direct normal irradiance resources for concentrating solar collectors: Algeria as a case study

Mecibah

Boukelia

Benyahia³

2014

Int J Energy Environ Eng

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The use of concentrating solar collectors which are used in solar thermal power plant and concentrated photovoltaic systems implies that these systems only work with the direct normal irradiance (DNI). Unfortunately, DNI ground-based measurements are rarely available at the location of interest, this lack of DNI data contrasts with the availability of global and diffuse horizontal irradiance data (GHI, DHI). Nowadays, several spatial databases that estimate DNI have been developed; however, these databases present uncertainty and provide different values of DNI. In this present study, a proposed methodology for estimating the hourly, monthly mean daily, monthly and annual direct normal irradiance DNI in the presence or absence of measured global and diffuse horizontal irradiances. When applying the proposed method for calculation of DNI for three Algerian ground stations (Algiers, Ghardaia, and Tamanrasset), we obtained better performances than those of the five spatial databases' data, especially for the monthly values. The methodology seems to give a very appropriate way for management and exploitation of DNI resources for the design and analysis of concentrating photovoltaic and thermal systems; and can be applicable to other worldwide locations using empirical equations with new correlation coefficients for estimating direct normal irradiance.

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“…Thus, a reliable estimation of global solar radiation for a site is fundamental. Doing this will allow adequate knowledge of how to channel such application for either electricity generation, water heating, or irrigation, to mention a few [1] [2] [3]. In a developing country, the data are recorded directly only in a few meteorological stations.…”

Section: Introductionmentioning

confidence: 99%

Determination of a Suitable Solar Radiation Model for the Sites of Chad

Soulouknga¹,

Falama²,

Ajayi³

et al. 2017

EPE

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The aim of this study is the determination of a suitable solar radiation model for the twelve cities of Chad based on meteorological data. Three appropriate models are used to estimate the solar radiation of each site. The choice of these models is based on statistical tests such as the Root Mean Square Error (RMSE), the Mean Bias Error (MBE), the Mean Percentage Error (MPE), and the Nash-Sutcliffe Equation ( KeywordsGlobal Solar Radiation, Sabbagh, Allen, Angstrom-Prescott, Meteorological Data How to cite this paper: Soulouknga, M.H.,

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General models for estimation of the monthly mean daily diffuse solar radiation (Case study: Algeria)

Cited by 73 publications

References 17 publications

A review of regression models employed for predicting diffuse solar radiation in North-Western Africa

A review of regression models employed for predicting diffuse solar radiation in North-Western Africa

Management and exploitation of direct normal irradiance resources for concentrating solar collectors: Algeria as a case study

Determination of a Suitable Solar Radiation Model for the Sites of Chad

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