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Increasing energy harvest of photovoltaic arrays under uniform illumination: a case study on photovoltaic arrays in Boulder CO and Tucson AZ

Studies on photovoltaic (PV) arrays have demonstrated that some arrays suffer from mismatch power losses even under uniform illumination. This mismatch power loss that is attributed to the inequality of characteristic parameters between a PV array's modules is conventionally addressed by sortin...

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Main Authors: Kohneh, Samad Shirzadi Deh, Hizam, Hashim, Abdul Wahab, Noor Izzri, Maghami, Mohammad Reza, MacAlpine, Sara Margaret
Format: Conference or Workshop Item
Language:English
Published: IEEE 2016
Online Access:http://psasir.upm.edu.my/id/eprint/68489/1/Increasing%20energy%20harvest%20of%20photovoltaic%20arrays%20under%20uniform%20illumination%20a%20case%20study%20on%20photovoltaic%20arrays%20in%20Boulder%20CO%20and%20Tucson%20AZ.pdf
http://psasir.upm.edu.my/id/eprint/68489/
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spelling my.upm.eprints.684892019-06-10T02:20:05Z http://psasir.upm.edu.my/id/eprint/68489/ Increasing energy harvest of photovoltaic arrays under uniform illumination: a case study on photovoltaic arrays in Boulder CO and Tucson AZ Kohneh, Samad Shirzadi Deh Hizam, Hashim Abdul Wahab, Noor Izzri Maghami, Mohammad Reza MacAlpine, Sara Margaret Studies on photovoltaic (PV) arrays have demonstrated that some arrays suffer from mismatch power losses even under uniform illumination. This mismatch power loss that is attributed to the inequality of characteristic parameters between a PV array's modules is conventionally addressed by sorting techniques - which stands for sorting PV modules in an array by one of their characteristic parameters such as Isc, IMPP or PMPP. Another recently suggested method to address this problem is arranging modules by genetic algorithm (GA). This paper applies this new technique to three PV arrays with relatively high mismatch losses. I-V curves for each array's modules are measured under different levels of radiation to provide a precise model. This precise modeling is used to run an annual simulation of energy yield and mismatch losses. Simulations carried out in this study show that a proper arrangement of modules in arrays decreases the mismatch losses and increases annual energy output more than what is gained by sorting techniques. IEEE 2016 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/68489/1/Increasing%20energy%20harvest%20of%20photovoltaic%20arrays%20under%20uniform%20illumination%20a%20case%20study%20on%20photovoltaic%20arrays%20in%20Boulder%20CO%20and%20Tucson%20AZ.pdf Kohneh, Samad Shirzadi Deh and Hizam, Hashim and Abdul Wahab, Noor Izzri and Maghami, Mohammad Reza and MacAlpine, Sara Margaret (2016) Increasing energy harvest of photovoltaic arrays under uniform illumination: a case study on photovoltaic arrays in Boulder CO and Tucson AZ. In: 2016 IEEE 6th International Conference on Power and Energy (PECON2016), 28-29 Nov. 2016, Melaka, Malaysia. (pp. 23-27). 10.1109/PECON.2016.7951466
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 Studies on photovoltaic (PV) arrays have demonstrated that some arrays suffer from mismatch power losses even under uniform illumination. This mismatch power loss that is attributed to the inequality of characteristic parameters between a PV array's modules is conventionally addressed by sorting techniques - which stands for sorting PV modules in an array by one of their characteristic parameters such as Isc, IMPP or PMPP. Another recently suggested method to address this problem is arranging modules by genetic algorithm (GA). This paper applies this new technique to three PV arrays with relatively high mismatch losses. I-V curves for each array's modules are measured under different levels of radiation to provide a precise model. This precise modeling is used to run an annual simulation of energy yield and mismatch losses. Simulations carried out in this study show that a proper arrangement of modules in arrays decreases the mismatch losses and increases annual energy output more than what is gained by sorting techniques.
format Conference or Workshop Item
author Kohneh, Samad Shirzadi Deh
Hizam, Hashim
Abdul Wahab, Noor Izzri
Maghami, Mohammad Reza
MacAlpine, Sara Margaret
spellingShingle Kohneh, Samad Shirzadi Deh
Hizam, Hashim
Abdul Wahab, Noor Izzri
Maghami, Mohammad Reza
MacAlpine, Sara Margaret
Increasing energy harvest of photovoltaic arrays under uniform illumination: a case study on photovoltaic arrays in Boulder CO and Tucson AZ
author_facet Kohneh, Samad Shirzadi Deh
Hizam, Hashim
Abdul Wahab, Noor Izzri
Maghami, Mohammad Reza
MacAlpine, Sara Margaret
author_sort Kohneh, Samad Shirzadi Deh
title Increasing energy harvest of photovoltaic arrays under uniform illumination: a case study on photovoltaic arrays in Boulder CO and Tucson AZ
title_short Increasing energy harvest of photovoltaic arrays under uniform illumination: a case study on photovoltaic arrays in Boulder CO and Tucson AZ
title_full Increasing energy harvest of photovoltaic arrays under uniform illumination: a case study on photovoltaic arrays in Boulder CO and Tucson AZ
title_fullStr Increasing energy harvest of photovoltaic arrays under uniform illumination: a case study on photovoltaic arrays in Boulder CO and Tucson AZ
title_full_unstemmed Increasing energy harvest of photovoltaic arrays under uniform illumination: a case study on photovoltaic arrays in Boulder CO and Tucson AZ
title_sort increasing energy harvest of photovoltaic arrays under uniform illumination: a case study on photovoltaic arrays in boulder co and tucson az
publisher IEEE
publishDate 2016
url http://psasir.upm.edu.my/id/eprint/68489/1/Increasing%20energy%20harvest%20of%20photovoltaic%20arrays%20under%20uniform%20illumination%20a%20case%20study%20on%20photovoltaic%20arrays%20in%20Boulder%20CO%20and%20Tucson%20AZ.pdf
http://psasir.upm.edu.my/id/eprint/68489/
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score 13.211869

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