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<dc:title>Shadow-band radiometer measurement of diffuse solar irradiance: Calculation of geometrical and total correction factors</dc:title>
<dc:creator>Simón Martín, Miguel de</dc:creator>
<dc:creator>Diez Mediavilla, Montserrat</dc:creator>
<dc:creator>Alonso Tristán, Cristina</dc:creator>
<dc:subject>Solar diffuse irradiance</dc:subject>
<dc:subject>Shadow-band</dc:subject>
<dc:subject>Instrumentation</dc:subject>
<dc:subject>Correction factor</dc:subject>
<dcterms:abstract>Among the various methods of measuring diffuse solar irradiance, shadowing devices are ones of the&#xd;
most commonly used in solar research all over the world. These instruments work with a basic pyranometer,&#xd;
properly calibrated for the measurement of solar irradiance, with a shadowing element, which&#xd;
can be a disk or a band (Drummond’s shadow-band), that prevents the direct incidence of solar beam&#xd;
irradiance on the sensor. This method is capable of precise measurements, but sensor outputs have to&#xd;
be corrected, so as to quantify the amount of diffuse irradiance that the band blocks from reaching the&#xd;
sensor. Several authors have advanced different expressions for this correction factor, most of which only&#xd;
apply to horizontal and equator-oriented tilting pyranometers. In this work, we present a general&#xd;
approach to calculate the geometrical correction factor for a tilted sensor, oriented towards all possible&#xd;
azimuth and zenith angles, which permits the measurement of solar diffuse irradiance on any tilted and&#xd;
oriented surfaces. Furthermore, five total correction models are adapted for measurement in any given&#xd;
direction and evaluated on vertical walls pointing the four cardinal directions. Our results show that geometrical&#xd;
correction improves the Mean Bias Difference (MBD), the Root Mean Squared Difference (RMSD)&#xd;
and the l0:99 statistics by 60%, 62% and 56%, respectively, in contrast with the raw data. The LeBaron et al.&#xd;
model gives the most accurate figure for total correction according to MBD, RMSD and l0:99 statistics,&#xd;
with promising average performances of 97%, 91%, and 96%, respectively</dcterms:abstract>
<dcterms:dateAccepted>2018-12-01T03:45:06Z</dcterms:dateAccepted>
<dcterms:available>2018-12-01T03:45:06Z</dcterms:available>
<dcterms:created>2018-12-01T03:45:06Z</dcterms:created>
<dcterms:issued>2016-12</dcterms:issued>
<dc:type>info:eu-repo/semantics/article</dc:type>
<dc:identifier>0038-092X</dc:identifier>
<dc:identifier>http://hdl.handle.net/10259/4756</dc:identifier>
<dc:identifier>10.1016/j.solener.2016.09.026</dc:identifier>
<dc:language>eng</dc:language>
<dc:relation>Solar Energy. 2016, V. 139, p. 85-99</dc:relation>
<dc:relation>https://doi.org/10.1016/j.solener.2016.09.026</dc:relation>
<dc:rights>http://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
<dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
<dc:rights>Attribution-NonCommercial-NoDerivatives 4.0 International</dc:rights>
<dc:publisher>Elsevier</dc:publisher>
</qdc:qualifieddc></metadata></record></GetRecord></OAI-PMH>