PROGRAMME & SPEAKERS
ICEM 2019 Workshop: IEA PVPS Task 16
Workshop Title: IEA PVPS Task 16: Best practices for quality control procedures and gap filling methods
When: Tuesday 25th June 16:15-18:00 CEST
Where: DTU Lyngby Meeting Centre, Building 101, Room S9
Quality control and gap filling methods are essential for resource assessments. Many methods are used today. This workshop aims at identifying best practice methods. Currently no standard method exists for gap filling and also quality control is done with different methods and approaches, combining automatic empirical and statistical control procedures and visual assessments. This workshop is part of IEA PVPS Task 16 and SolarPACES Task V. The findings of this workshop are used to describe the used methods and to define the best practices.
Schedule (click to expand):
Jan Remund, OA IEA PVPS Task 16 & Meteotest AG
Philippe Blanc, Mines Paristech
A first review of automatic quality control procedures (QCPs), including the emerging ones based on cross-comparison with surrounding in-situ measurements, models of clear sky irradiance and satellite based estimations is given. The second part of the workshop is dedicated to gap filling methods to cope with data gaps in pyranometric and meteorological time series (missing data or detected as incorrect by the QCP), notably for time aggregation procedure (e.g. from intra-day incomplete value to daily, monthly and yearly values).
Manajit Sengupta / A. Habte, NREL
The data quality assessment methods employed by NREL for both measured and modelled solar resource data using NREL’s SERI-QC software package will be presented.
Adam R. Jensen, DTU
In order to assess the long-term trends in solar irradiance, it is necessary to take data gaps into account. There exist a number of methods, ranging in complexity and accuracy. In order to determine the most suitable method and the impact of each method, the long-term solar irradiance time series from DTU is gap-filled using a range of different gap fillings methods. The results of each method are compared.
Ana Gracia-Amillo / P. Blanc, JRC
A QC method to detect small deviations from the real irradiance profile is presented. The proposed method compares ground records with estimates from three independent radiation products, mainly satellite-based datasets, and flags periods of consecutive days where the daily deviation of the three products differs from the historical values for that time of the year and region.