Version 1
: Received: 6 March 2024 / Approved: 7 March 2024 / Online: 7 March 2024 (08:00:59 CET)
How to cite:
Daniel-Durandt, F.M.; Rix, A.J. New Decomposition Models for Hourly Direct Normal Irradiance Estimations for Southern Africa. Preprints2024, 2024030416. https://doi.org/10.20944/preprints202403.0416.v1
Daniel-Durandt, F.M.; Rix, A.J. New Decomposition Models for Hourly Direct Normal Irradiance Estimations for Southern Africa. Preprints 2024, 2024030416. https://doi.org/10.20944/preprints202403.0416.v1
Daniel-Durandt, F.M.; Rix, A.J. New Decomposition Models for Hourly Direct Normal Irradiance Estimations for Southern Africa. Preprints2024, 2024030416. https://doi.org/10.20944/preprints202403.0416.v1
APA Style
Daniel-Durandt, F.M., & Rix, A.J. (2024). New Decomposition Models for Hourly Direct Normal Irradiance Estimations for Southern Africa. Preprints. https://doi.org/10.20944/preprints202403.0416.v1
Chicago/Turabian Style
Daniel-Durandt, F.M. and Arnold Johan Rix. 2024 "New Decomposition Models for Hourly Direct Normal Irradiance Estimations for Southern Africa" Preprints. https://doi.org/10.20944/preprints202403.0416.v1
Abstract
The research develops and validates new decomposition models for DNI estimations from Southern African data. The results demonstrated improved DNI estimation accuracy compared to the baseline models across all testing and validation datasets. These outcomes suggest that utilising a localised model can significantly enhance DNI estimations for Southern Africa and potentially for developing similar models in diverse geographic regions worldwide. Furthermore, clustered models highlighted the potential advantages of grouping data based on shared geographical and climatic attributes. This clustering approach could enhance decomposition model performance, particularly when local data is limited or data is available from multiple nearby stations. The Southern African decomposition model, which encompasses a wide spectrum of climatic regions and geographic locations, exhibited notable improvements over the baseline models despite occasional overestimation or underestimation. The overall metrics affirm the substantial advancement achieved with the Southern African model. This study focused on validating the model for hourly DNI in Southern Africa within a range of clearness index-intervals from 0.175 to 0.875. Implementing accurate decomposition models in developing countries can accelerate the adoption of renewable energy sources, diminishing reliance on coal and fossil fuels.
Keywords
Decomposition Model; Global Horizontal Irradiance; Direct Normal Irradiance; Solar Radiation Model
Subject
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
