Modelling the diffuse fraction of global solar radiation on a horizontal surface

Boland, John; Scott, Lynne W.; Luther, Mark

doi:10.1002/1099-095x(200103)12:2<103::aid-env447>3.0.co;2-2

Cited by 133 publications

(53 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…To account for the presence of clouds, three decomposition models were implemented: Erbs et al (1982), Reindl et al (1990) , andBoland et al (2001). The procedure described here is in line with Helbig et al (2010).…”

Section: The Shortwave Radiation Correction For Cloudy Sky Dec-mod'smentioning

confidence: 99%

Modeling shortwave solar radiation using the JGrass-NewAge system

et al. 2013

View full text Add to dashboard Cite

Abstract. This paper presents two new modeling components based on the object modeling system v3 (OMS3) for the calculation of the shortwave incident radiation (R sw ↓) on complex topography settings, and the implementation of several ancillary tools. The first component, NewAGE-SwRB, accounts for elevation slope, aspect, shadow of the sites, and uses suitable parameterization for obtaining the cloudless irradiance. A second component, NewAGE-DEC-MOD's is implemented to estimate the irradiance reduction due to the presence of clouds according to three parameterizations. To obtain a working modeling composition that is comparable with ground data at measurement stations the two components are connected to a kriging component. With the help of an additional component, NewAGE-V (verification package), the performance of modeled (R sw ↓) is quantitatively evaluated. The two components (and the various parameterizations they contain) are tested using the data from three basins, and some simple verification tests were carried out to assess the goodness of the methods used. Moreover, a raster mode test is performed in order to show the capability of the system in providing solar radiation raster maps. The components are part of a larger system, JGrass-NewAGE, their input and outputs are geometrical objects immediately displayed in a geographical information system (GIS). They can be used seamlessly with the various modeling solutions available in JGrass-NewAGE for the estimation of long wave radiation, evapotranspiration, and snow melting, as well as standalone components to just estimate shortwave radiation for various uses. The modularity of the approach leads to more accurate physical-statistical studies aimed to assess in depth the components' performances and extends their results spatially, without the necessity of recoding any part of the component.

show abstract

Section: The Shortwave Radiation Correction For Cloudy Sky Dec-mod'smentioning

confidence: 99%

Modeling shortwave solar radiation using the JGrass-NewAge system

et al. 2013

View full text Add to dashboard Cite

show abstract

“…Boland et al developed a model in order to determine the influence that the smoothing due to the use of hourly data (instead of 15-minute data) has on the results. The model was carried out utilizing data from Australian locations, to explain some of the substantial scatter by adding apparent solar time as a predictor, which showed to be significantly better than solar altitude [11].…”

Section: Introductionmentioning

confidence: 99%

Dynamic modelling of the solar radiation exposure effects on the thermal performance of a PCMs-integrated wall

Fateh¹,

Borelli²,

Devia³

et al. 2017

IJHT

View full text Add to dashboard Cite

The authors present a dynamic simulation of the thermal behavior of a multilayer plane wall, integrated with Phase Change Materials (PCMs), exposed to solar radiation in summer conditions, in a Mediterranean site. PCMs are a promising kind of heat storage materials that are particularly good in some climatic conditions: if properly placed, they can decrease heat flux through the walls, thus reducing cooling loads in buildings. Due to their strong non-linearity in thermal behavior, PCMs must be carefully modeled, possibly in transient conditions. The dynamic model consists of two main distinct parts. First, a solar radiation model is implemented, based on the daily evolution of the solar angles. This solution uses the results of a novel simple model for splitting the diffuse and the direct solar radiation starting from data on total radiation on a horizontal surface only. Then, solar radiation is used as a boundary condition for the dynamic modeling of a typical multilayer lightweight wall provided with one insulation layer integrated by PCMs. The calculated of solar effect and cooling loads are studied for three different melting temperatures of the PCMs.

show abstract

“…The soft computing technique has the capacity of accepting many input parameters for a particular model which is not possible applying regression technique and this strengthens its reliability. Therefore, applying soft computing techniques compared to regression techniques according to previous studies offers greater accuracy with prediction error in a range (less than 20 %) and could be very good in terms of diffuse solar radiation prediction as more and more soft computing approaches are demanded in the domains of renewable energy resource prediction [12][13][14][15][16][17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

“…Boland and Scott [18] determined the comparison between the empirical models and a fuzzy logic based model to estimate hourly diffuse solar radiation in some locations of Australia. The results revealed that coefficients of determination recorded for the fuzzy logic model are comparable, and in most cases more suitable than those of empirical models.…”

mentioning

confidence: 99%

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

2017

View full text Add to dashboard Cite

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.

show abstract

Modelling the diffuse fraction of global solar radiation on a horizontal surface

Cited by 133 publications

References 0 publications

Modeling shortwave solar radiation using the JGrass-NewAge system

Modeling shortwave solar radiation using the JGrass-NewAge system

Dynamic modelling of the solar radiation exposure effects on the thermal performance of a PCMs-integrated wall

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

Contact Info

Product

Resources

About