Importance of time averaging conventions

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

1 Citation (Scopus)

Abstract

Original or raw solar radiation data is preferably created at relatively high temporal resolutions, such as one-minute values for direct measurements. However, and especially when combining different sources or with different kinds of data, the data actually seen by end users is frequently already averaged at some other temporal resolution, commonly 15-, 30- or 60-minute averages. One also commonly missing piece of information is how those averages were obtained; in particular, what the timestamps actually mean; for example, does the hourly value marked as 10 am include 9:01 to 10:00, or 10:00 to 10:50, or something else? This study presents an estimation of errors, using real measurements, resulting from a user assigning the 'wrong' interval to the timestamps, at different averaging scales, from 5 to 60 minutes.

Original languageEnglish
Title of host publicationProceedings of the ISES Solar World Congress 2019 and IEA SHC International Conference on Solar Heating and Cooling for Buildings and Industry 2019
EditorsJose Miguel Cardemil, Ken Guthrie, Ricardo Ruther
PublisherInternational Solar Energy Society
Pages1996-2000
Number of pages5
ISBN (Electronic)9783982040813
DOIs
Publication statusPublished - 2020
EventISES Solar World Congress 2019, SWC 2019 and IEA SHC International Conference on Solar Heating and Cooling for Buildings and Industry 2019, SHC 2019 - Santiago, Chile
Duration: 4 Nov 20197 Nov 2019

Publication series

NameProceedings of the ISES Solar World Congress 2019 and IEA SHC International Conference on Solar Heating and Cooling for Buildings and Industry 2019

Conference

ConferenceISES Solar World Congress 2019, SWC 2019 and IEA SHC International Conference on Solar Heating and Cooling for Buildings and Industry 2019, SHC 2019
Country/TerritoryChile
CitySantiago
Period4/11/197/11/19

Keywords

  • Solar data aggregation
  • Solar resources
  • Temporal resolution

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