Downscaling of Spatial Irradiance Based on Cloud Advection using Transfer Functions

Joseph Ranalli, Esther E.M. Peerlings

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Spatiotemporal aggregation of solar irradiance occurs when a spatially distributed receiver (e.g. a PV generation facility) collects variable, geographically distributed irradiance and reduces it to a single electrical generation output. Models of this phenomenon exist and are designed to take variability from a single point irradiance monitor and predict how that variability will be reduced by aggregation. We have applied these models in reverse to assess whether the same models can be used to predict the variability of a single point measurement given an aggregate irradiance time series as an input. Results for an advection-based model show that this approach leads to overprediction of the high frequency variability due to overprediction of the site-to-site correlation, even during highly correlated advection conditions. While some modifications to the cloud advection model improve its performance, the wavelet variability model better represents the site pair decorrelation and produces superior results in representing the disaggregated time series and variability metrics. Further work may be warranted to further improve upon these efforts and enable reliable, transfer function-based downscaling of irradiance data.

Original languageEnglish (US)
Title of host publication2021 IEEE 48th Photovoltaic Specialists Conference, PVSC 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages7
ISBN (Electronic)9781665419222
StatePublished - Jun 20 2021
Event48th IEEE Photovoltaic Specialists Conference, PVSC 2021 - Fort Lauderdale, United States
Duration: Jun 20 2021Jun 25 2021

Publication series

NameConference Record of the IEEE Photovoltaic Specialists Conference
ISSN (Print)0160-8371


Conference48th IEEE Photovoltaic Specialists Conference, PVSC 2021
Country/TerritoryUnited States
CityFort Lauderdale

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering


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