2009
DOI: 10.1080/13658810802022806
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A comparative analysis of DEM‐based models to estimate the solar radiation in mountainous terrain

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Cited by 105 publications
(93 citation statements)
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“…According to the spatially based solar radiation models' average uncertainty reported in Table 1, all these models are comparable with the measured values with a mean bias error ( MBE ) of about − 5 to 10% except Solar Analyst [17,19,20] that shows an under-estimation of about 25% relative to the corresponded observed values and also its reliability decreases in cloudy sky conditions. Myers (2005) [32] reviewed uncertainties in several solar radiation models [32].Therefore, a daily global solar radiation model, within the usual range of accuracy, with lower input parameters, with more available input data, and suitable for different climate conditions applied to estimate daily and hourly solar radiation convergence curves can be usefully applied for accurate estimation of solar energy production.…”
Section: Introductionmentioning
confidence: 56%
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“…According to the spatially based solar radiation models' average uncertainty reported in Table 1, all these models are comparable with the measured values with a mean bias error ( MBE ) of about − 5 to 10% except Solar Analyst [17,19,20] that shows an under-estimation of about 25% relative to the corresponded observed values and also its reliability decreases in cloudy sky conditions. Myers (2005) [32] reviewed uncertainties in several solar radiation models [32].Therefore, a daily global solar radiation model, within the usual range of accuracy, with lower input parameters, with more available input data, and suitable for different climate conditions applied to estimate daily and hourly solar radiation convergence curves can be usefully applied for accurate estimation of solar energy production.…”
Section: Introductionmentioning
confidence: 56%
“…Here, we present a daily solar radiation estimation method which uses ambient air temperature, a Digital Elevation Model (DEM), time of year, and monthly radiation estimates from Solar Analyst ( G R m ) [17,19,20]. Our objective was to provide improved, spatially and more widely applicable estimation using air temperature-based empirical models for atmospheric transmissivity ( K T ) and diffuse fraction to vary total monthly radiation estimation from Solar Analyst [17,19,20] and then calculate total daily radiation (…”
Section: Introductionmentioning
confidence: 99%
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“…Looking into this matter is certainly our priority for future work, and for this, we plan to follow the approach of Ruiz Arias et al (2009). In their analysis involving rasters of multiple resolutions, they compare the results from multiple software packages and conclude that some software solutions lead to larger error propagation.…”
Section: General Discussion and Key Findingsmentioning
confidence: 99%
“…Reanalysis data sets provide global coverage and there are several freely available data sources (see, e.g., [22]), but these have relatively low spatial and temporal resolutions compared to data derived from satellite images. Moreover, solar radiation models integrated in GIS tools have been widely used to estimate solar radiation and PV technical potential in areas with complicated topography and in urban environments [23][24][25][26]. These rely, however, on other atmospheric variables that must be retrieved from in situ measurements, satellite images and/or reanalysis data.…”
Section: State Of the Art Of Photovoltaic Potential Evaluationmentioning
confidence: 99%