Method for flagging shaded solar data using a semi-graphical representation

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Sola r ra dia tion monitoring instruments should have unobstructed views to the sun at a ll times of the day and the yea r a s it moves across the local sky, and measured data should be quality-flagged automatically, a s large amounts of da ta are to be processed. If shading is identified, the data a t the shaded areas should be properly flagged and excluded from the 'usable' data; for this, the shaded areas have to be expressed in the data processing code as equa tions or conditions that define the areas a nd a llow to determine whether a ny measurement was ta ken inside the sha ded area. There is no established method for identifying and flagging those shaded data when analysing sola r ra dia tion measurements. This work presents a method that uses CERN's ROOT Da ta Analysis Fra mework to define the shaded area gra phically in a n efficient a nd precise wa y, tra nslating this into a region a ga inst which ea ch measurement is then easily checked in the code, a nd discarded or flagged accordingly.

Original languageEnglish
Title of host publicationProceedings - ISES Solar World Congress 2021
PublisherInternational Solar Energy Society
Pages1076-1081
Number of pages6
ISBN (Electronic)9783982040875
DOIs
Publication statusPublished - 2021
EventISES Solar World Congress 2021 - Virtual, Online
Duration: 25 Oct 202129 Oct 2021

Publication series

NameProceedings - ISES Solar World Congress 2021

Conference

ConferenceISES Solar World Congress 2021
CityVirtual, Online
Period25/10/2129/10/21

Keywords

  • data quality
  • sensor shading
  • solar resource assessment

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