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On-site characterization of misalignments between concentrator photovoltaic modules installed on trackers.

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Title: On-site characterization of misalignments between concentrator photovoltaic modules installed on trackers.
Authors: San José, Luis1 (AUTHOR) luis.sanjose@ies.upm.es, Vallerotto, Guido1 (AUTHOR), Herrero, Rebeca1 (AUTHOR), Núñez, Rubén1 (AUTHOR), Antón, Ignacio1 (AUTHOR)
Source: Solar Energy. Sep2022, Vol. 244, p379-385. 7p.
Subjects: Visual optics, Photovoltaic cells, Solar cells, Building-integrated photovoltaic systems, Maximum power point trackers
Abstract: • Diagnostic procedure for the evaluation of module misalignments on a CPV array characterization based on images. • Implementation and demonstration of the method with a dron equipped with an imaging camera. • Determination and correction of error sources associated to dron-to-array positioning. • Example case: full characterization of a tracker composed by 48 modules, determination of uncertainties. This paper deals with the characterization of misalignments between CPV modules installed on tracker structures, for which a misalignment measurement method (suitable for inspecting CPV plants) is proposed. The method consists of acquiring images of the photovoltaic solar cells magnified through the optics with a visual camera mounted on a drone. The relative position between modules is proportional to the observed spatial misplacement between the magnified cells and equivalent to an angular misalignment of the pointing vector of the modules with respect to the ideal optical axis. The method, that had already been demonstrated at module level in laboratory conditions, has been adapted to account for the errors associated to the camera position during the drone flight sequence. An experimental validation of the method is carried out by characterizing the misalignments between 48 CPV modules in a tracker, with an uncertainty lower than ±0.09 degrees for measured misalignments of up to 0.95 degrees. [ABSTRACT FROM AUTHOR]
Copyright of Solar Energy is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 159032042
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  Data: On-site characterization of misalignments between concentrator photovoltaic modules installed on trackers.
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  Data: <searchLink fieldCode="AR" term="%22San+José%2C+Luis%22">San José, Luis</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> luis.sanjose@ies.upm.es</i><br /><searchLink fieldCode="AR" term="%22Vallerotto%2C+Guido%22">Vallerotto, Guido</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Herrero%2C+Rebeca%22">Herrero, Rebeca</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Núñez%2C+Rubén%22">Núñez, Rubén</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Antón%2C+Ignacio%22">Antón, Ignacio</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Solar+Energy%22">Solar Energy</searchLink>. Sep2022, Vol. 244, p379-385. 7p.
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  Data: <searchLink fieldCode="DE" term="%22Visual+optics%22">Visual optics</searchLink><br /><searchLink fieldCode="DE" term="%22Photovoltaic+cells%22">Photovoltaic cells</searchLink><br /><searchLink fieldCode="DE" term="%22Solar+cells%22">Solar cells</searchLink><br /><searchLink fieldCode="DE" term="%22Building-integrated+photovoltaic+systems%22">Building-integrated photovoltaic systems</searchLink><br /><searchLink fieldCode="DE" term="%22Maximum+power+point+trackers%22">Maximum power point trackers</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: • Diagnostic procedure for the evaluation of module misalignments on a CPV array characterization based on images. • Implementation and demonstration of the method with a dron equipped with an imaging camera. • Determination and correction of error sources associated to dron-to-array positioning. • Example case: full characterization of a tracker composed by 48 modules, determination of uncertainties. This paper deals with the characterization of misalignments between CPV modules installed on tracker structures, for which a misalignment measurement method (suitable for inspecting CPV plants) is proposed. The method consists of acquiring images of the photovoltaic solar cells magnified through the optics with a visual camera mounted on a drone. The relative position between modules is proportional to the observed spatial misplacement between the magnified cells and equivalent to an angular misalignment of the pointing vector of the modules with respect to the ideal optical axis. The method, that had already been demonstrated at module level in laboratory conditions, has been adapted to account for the errors associated to the camera position during the drone flight sequence. An experimental validation of the method is carried out by characterizing the misalignments between 48 CPV modules in a tracker, with an uncertainty lower than ±0.09 degrees for measured misalignments of up to 0.95 degrees. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Solar Energy is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.solener.2022.08.063
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      – Code: eng
        Text: English
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        PageCount: 7
        StartPage: 379
    Subjects:
      – SubjectFull: Visual optics
        Type: general
      – SubjectFull: Photovoltaic cells
        Type: general
      – SubjectFull: Solar cells
        Type: general
      – SubjectFull: Building-integrated photovoltaic systems
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      – SubjectFull: Maximum power point trackers
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      – TitleFull: On-site characterization of misalignments between concentrator photovoltaic modules installed on trackers.
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            NameFull: San José, Luis
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            – D: 15
              M: 09
              Text: Sep2022
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              Y: 2022
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