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Predicting power output of photovoltaic systems with solar radiation model

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 G...

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Main Authors: Lurwan, Sabo Mahmoud, Mariun, Norman, Hizam, Hashim, Mohd Radzi, Mohd Amran, Zakaria, Azmi
Format: Conference or Workshop Item
Language:English
Published: IEEE 2014
Online Access:http://psasir.upm.edu.my/id/eprint/68342/1/Predicting%20power%20output%20of%20photovoltaic%20systems%20with%20solar%20radiation%20model.pdf
http://psasir.upm.edu.my/id/eprint/68342/
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spelling my.upm.eprints.683422019-05-10T08:31:57Z http://psasir.upm.edu.my/id/eprint/68342/ Predicting power output of photovoltaic systems with solar radiation model Lurwan, Sabo Mahmoud Mariun, Norman Hizam, Hashim Mohd Radzi, Mohd Amran Zakaria, Azmi 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. IEEE 2014 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/68342/1/Predicting%20power%20output%20of%20photovoltaic%20systems%20with%20solar%20radiation%20model.pdf 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). 10.1109/PECON.2014.7062461
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description 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.
format Conference or Workshop Item
author Lurwan, Sabo Mahmoud
Mariun, Norman
Hizam, Hashim
Mohd Radzi, Mohd Amran
Zakaria, Azmi
spellingShingle Lurwan, Sabo Mahmoud
Mariun, Norman
Hizam, Hashim
Mohd Radzi, Mohd Amran
Zakaria, Azmi
Predicting power output of photovoltaic systems with solar radiation model
author_facet Lurwan, Sabo Mahmoud
Mariun, Norman
Hizam, Hashim
Mohd Radzi, Mohd Amran
Zakaria, Azmi
author_sort Lurwan, Sabo Mahmoud
title Predicting power output of photovoltaic systems with solar radiation model
title_short Predicting power output of photovoltaic systems with solar radiation model
title_full Predicting power output of photovoltaic systems with solar radiation model
title_fullStr Predicting power output of photovoltaic systems with solar radiation model
title_full_unstemmed Predicting power output of photovoltaic systems with solar radiation model
title_sort predicting power output of photovoltaic systems with solar radiation model
publisher IEEE
publishDate 2014
url http://psasir.upm.edu.my/id/eprint/68342/1/Predicting%20power%20output%20of%20photovoltaic%20systems%20with%20solar%20radiation%20model.pdf
http://psasir.upm.edu.my/id/eprint/68342/
_version_ 1643839172884037632
score 13.211869

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