1Laboratory of Signals, Systems and Components, Sidi Mohamed Ben Abdellah University: Faculty of Science and Technology of Fez, Route d’Immouzer, B.P. 2202, Fez, Morocco
2Green Energy Park (IRESEN, UM6P), Km 2 Route Régionale R206, Benguerir, Morocco
3O.I.E. Centre Observation, Impacts, Energy, MINES ParisTech, PSL – Research University, Rue Claude Daunesse, CS 10207, 06904 Sophia Antipolis CEDEX, France
4 German Aerospace Center (DLR), Institute of Solar Research, Paseo de Almería, 73, 2,04001 Almeria, Spain
5 Mohammed V University of Rabat École Normale Supérieure de Rabat, Rabat, Morocco
BibTex Citation Data :
@article{IJRED34806, author = {Omaima El Alani and Hicham Ghennioui and Abdellatif Ghennioui and Yves-Marie Saint-Drenan and Philippe Blanc and Natalie Hanrieder and Fatima-Ezzahra Dahr}, title = {A Visual Support of Standard Procedures for Solar Radiation Quality Control}, journal = {International Journal of Renewable Energy Development}, volume = {10}, number = {3}, year = {2021}, keywords = {Solar irradiance; solar energy; quality check; ground measurements}, abstract = { Solar irradiance data from high-quality ground-based measurements are primordial for different solar energy applications. In order to achieve the required accuracy, quality control procedures are of great benefit. A variety of approaches have been proposed. In this sense, some approaches propose a visual representation of the routine, while others only provide a time series of binary flag values, and do not propose any specific visualization of the flagged data as opposed to non-flagged ones. In this regard, the present paper puts forward a complete routine including several quality control procedures for solar irradiance measurements by providing visual support for these different approaches. The visual tool in question was validated using five years research data with 10 minutes resolution of the global, diffuse and direct components of solar irradiation collected from three ground-based weather stations in Morocco. This visual tool puts forth a more precise idea of the measurement quality by detecting various errors, such as time shifts, outliers identification; either with one or two components, or consistency tests between the three components of solar radiation when available. The proposed tool can be regarded as a means of improving the detection rate of abnormal data as a first step in diagnosing the prominent causes of error. }, pages = {401--414} doi = {10.14710/ijred.2021.34806}, url = {https://ejournal.undip.ac.id/index.php/ijred/article/view/34806} }
Refworks Citation Data :
Solar irradiance data from high-quality ground-based measurements are primordial for different solar energy applications. In order to achieve the required accuracy, quality control procedures are of great benefit. A variety of approaches have been proposed. In this sense, some approaches propose a visual representation of the routine, while others only provide a time series of binary flag values, and do not propose any specific visualization of the flagged data as opposed to non-flagged ones. In this regard, the present paper puts forward a complete routine including several quality control procedures for solar irradiance measurements by providing visual support for these different approaches. The visual tool in question was validated using five years research data with 10 minutes resolution of the global, diffuse and direct components of solar irradiation collected from three ground-based weather stations in Morocco. This visual tool puts forth a more precise idea of the measurement quality by detecting various errors, such as time shifts, outliers identification; either with one or two components, or consistency tests between the three components of solar radiation when available. The proposed tool can be regarded as a means of improving the detection rate of abnormal data as a first step in diagnosing the prominent causes of error.
Article Metrics:
Last update:
IEA Wind Recommended Practice for the Implementation of Renewable Energy Forecasting Solutions
Automating Quality Control of Irradiance Data with a Comprehensive Analysis for Southern Africa
Advances in solar forecasting: Computer vision with deep learning
Benchmarks for solar radiation time series forecasting
Intelligent Learning Approaches for Renewable and Sustainable Energy
Short term solar irradiance forecasting using sky images based on a hybrid CNN–MLP model
Energy Management Improvement in a PV/Battery Smart-grid by Integration of Solar Resource Forecasting
Quality control procedure for 1-minute pyranometric measurements of global and shadowband-based diffuse solar irradiance
The Automation of Quality Control for Large Irradiance Datasets
Shortwave Radiation on Horizontal and Incline Surfaces—One Year of Solar Radiation Measurements at Athalassa, an Inland Location in Cyprus
Performance assessment of SARIMA, MLP and LSTM models for short-term solar irradiance prediction under different climates in Morocco
Evaluation and Comparison of Spatial Clustering for Solar Irradiance Time Series
Last update: 2024-11-21 03:38:49
This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge. Articles are freely available to both subscribers and the wider public with permitted reuse.
All articles published Open Access will be immediately and permanently free for everyone to read and download. We are continuously working with our author communities to select the best choice of license options: Creative Commons Attribution-ShareAlike (CC BY-SA). Authors and readers can copy and redistribute the material in any medium or format, as well as remix, transform, and build upon the material for any purpose, even commercially, but they must give appropriate credit (cite to the article or content), provide a link to the license, and indicate if changes were made. If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
International Journal of Renewable Energy Development (ISSN:2252-4940) published by CBIORE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.