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Predicting power output of photovoltaic systems with solar radiation model


Lurwan, Sabo Mahmoud and Mariun, Norman and Hizam, Hashim and Mohd Radzi, Mohd Amran and Zakaria, Azmi (2014) Predicting power output of photovoltaic systems with solar radiation model. In: 2014 IEEE International Conference on Power and Energy (PECon 2014), 1-3 Dec. 2014, Kuching, Sarawak, Malaysia. (pp. 304-308).


Predicting of solar resource in general is momentous for preparation of the operations of power plants which transform renewable energies to electricity. In particular, the possibility to predict the solar irradiance (up to one day or even more) can become of significant interest with reference to Grid connected Photovoltaic (PV) Plants, stand alone and hybrid system. In this paper, a MATLAB/SIMULINK simulation based model for predicting hourly solar radiation using modified Hottel's radiation model is presented. The proposed modified Hottel's model makes it possible to predict solar radiation on hourly basis using current values of day type and geography of the location. While predicting power output, the model requires information of the weather forecast of the day to be predicted, some data from solar module datasheet is use and predicted radiation. The predicted results are compared with outdoor data collected by horizontal mount pyranometer at coordinates (2.945N, 101.728E) on 24th, June 2012. The results indicated the proposed model performed well after comparison with field data, having a correlation coefficient of 97%, also recorded 96% and 76% with Hottel's and Ashrae model respectively.

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Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Centre for Advanced Power and Energy Research
Faculty of Engineering
Faculty of Science
DOI Number: https://doi.org/10.1109/PECON.2014.7062461
Publisher: IEEE
Keywords: Prediction; Photovoltaic systems; Power; Solar radiation
Depositing User: Nabilah Mustapa
Date Deposited: 10 May 2019 08:31
Last Modified: 10 May 2019 08:31
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/PECON.2014.7062461
URI: http://psasir.upm.edu.my/id/eprint/68342
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