The temperature dependence coefficients of amorphous silicon and crystalline photovoltaic modules using Malaysian field test investigation

Sulaiman Shaari, Kamaruzzaman Sopian, Nowshad Amin, Mohd Nizan Kassim

Research output: Contribution to journalArticle

17 Citations (Scopus)

Abstract

The temperature dependence coefficients of amorphous silicon and crystalline photovoltaic (PV) modules using Malaysian field data have been obtained using linear regression technique. This is achieved by studying three test stand-alone PV-battery systems using 62 Wp a-Si, 225 Wp multicrystalline and 225 Wp mono-crystalline PV modules. These systems were designed to provide electricity for rural domestic loads at 200 W, 500 W and 530 W respectively. The systems were installed in the field with data monitored using data loggers. Upon analysis, the study found that the normalized power output per operating array temperature for the amorphous silicon modules, multicrystalline modules and mono-crystalline modules were: +0.037 per°C,+0.0225 per °C and+0.0263 per °C respectively. In addition, at a solar irradiance value of 500 Wm-2, the current, voltage, power and efficiency dependence coefficients on operating array temperatures obtained from linear regression were:+37.0 mA per °C, -31.8 mV per °C, -0.1036 W per °C and -0.0214% per °C, for the a-Si modules,+22.5 mA per °C, -39.4 mV per °C, -0.2525 W per °C, -0.072% per °C for the multicrystalline modules and+26.3 mA per °C, -32.6 mV per °C, -0.1742 W per °C, -0.0523% per °C for the mono-crystalline modules. These findings have a direct impact on all systems design and sizing in similar climate regions. It is thus recommended that the design and sizing of PV systems in the hot and humid climate regions of the globe give due address to these findings.

Original languageEnglish
Pages (from-to)586-593
Number of pages8
JournalAmerican Journal of Applied Sciences
Volume6
Issue number4
DOIs
Publication statusPublished - 2009

Fingerprint

Amorphous silicon
Crystalline materials
Linear regression
Temperature
Electricity
Systems analysis
Electric potential

Keywords

  • Field data
  • Solar photovoltaics (PV)
  • Temperature dependence coefficients

ASJC Scopus subject areas

  • General

Cite this

@article{d7cd37fe5ebb48bd9e5fa8e838551818,
title = "The temperature dependence coefficients of amorphous silicon and crystalline photovoltaic modules using Malaysian field test investigation",
abstract = "The temperature dependence coefficients of amorphous silicon and crystalline photovoltaic (PV) modules using Malaysian field data have been obtained using linear regression technique. This is achieved by studying three test stand-alone PV-battery systems using 62 Wp a-Si, 225 Wp multicrystalline and 225 Wp mono-crystalline PV modules. These systems were designed to provide electricity for rural domestic loads at 200 W, 500 W and 530 W respectively. The systems were installed in the field with data monitored using data loggers. Upon analysis, the study found that the normalized power output per operating array temperature for the amorphous silicon modules, multicrystalline modules and mono-crystalline modules were: +0.037 per°C,+0.0225 per °C and+0.0263 per °C respectively. In addition, at a solar irradiance value of 500 Wm-2, the current, voltage, power and efficiency dependence coefficients on operating array temperatures obtained from linear regression were:+37.0 mA per °C, -31.8 mV per °C, -0.1036 W per °C and -0.0214{\%} per °C, for the a-Si modules,+22.5 mA per °C, -39.4 mV per °C, -0.2525 W per °C, -0.072{\%} per °C for the multicrystalline modules and+26.3 mA per °C, -32.6 mV per °C, -0.1742 W per °C, -0.0523{\%} per °C for the mono-crystalline modules. These findings have a direct impact on all systems design and sizing in similar climate regions. It is thus recommended that the design and sizing of PV systems in the hot and humid climate regions of the globe give due address to these findings.",
keywords = "Field data, Solar photovoltaics (PV), Temperature dependence coefficients",
author = "Sulaiman Shaari and Kamaruzzaman Sopian and Nowshad Amin and Kassim, {Mohd Nizan}",
year = "2009",
doi = "10.3844/ajas.2009.586.593",
language = "English",
volume = "6",
pages = "586--593",
journal = "American Journal of Applied Sciences",
issn = "1546-9239",
publisher = "Science Publications",
number = "4",

}

TY - JOUR

T1 - The temperature dependence coefficients of amorphous silicon and crystalline photovoltaic modules using Malaysian field test investigation

AU - Shaari, Sulaiman

AU - Sopian, Kamaruzzaman

AU - Amin, Nowshad

AU - Kassim, Mohd Nizan

PY - 2009

Y1 - 2009

N2 - The temperature dependence coefficients of amorphous silicon and crystalline photovoltaic (PV) modules using Malaysian field data have been obtained using linear regression technique. This is achieved by studying three test stand-alone PV-battery systems using 62 Wp a-Si, 225 Wp multicrystalline and 225 Wp mono-crystalline PV modules. These systems were designed to provide electricity for rural domestic loads at 200 W, 500 W and 530 W respectively. The systems were installed in the field with data monitored using data loggers. Upon analysis, the study found that the normalized power output per operating array temperature for the amorphous silicon modules, multicrystalline modules and mono-crystalline modules were: +0.037 per°C,+0.0225 per °C and+0.0263 per °C respectively. In addition, at a solar irradiance value of 500 Wm-2, the current, voltage, power and efficiency dependence coefficients on operating array temperatures obtained from linear regression were:+37.0 mA per °C, -31.8 mV per °C, -0.1036 W per °C and -0.0214% per °C, for the a-Si modules,+22.5 mA per °C, -39.4 mV per °C, -0.2525 W per °C, -0.072% per °C for the multicrystalline modules and+26.3 mA per °C, -32.6 mV per °C, -0.1742 W per °C, -0.0523% per °C for the mono-crystalline modules. These findings have a direct impact on all systems design and sizing in similar climate regions. It is thus recommended that the design and sizing of PV systems in the hot and humid climate regions of the globe give due address to these findings.

AB - The temperature dependence coefficients of amorphous silicon and crystalline photovoltaic (PV) modules using Malaysian field data have been obtained using linear regression technique. This is achieved by studying three test stand-alone PV-battery systems using 62 Wp a-Si, 225 Wp multicrystalline and 225 Wp mono-crystalline PV modules. These systems were designed to provide electricity for rural domestic loads at 200 W, 500 W and 530 W respectively. The systems were installed in the field with data monitored using data loggers. Upon analysis, the study found that the normalized power output per operating array temperature for the amorphous silicon modules, multicrystalline modules and mono-crystalline modules were: +0.037 per°C,+0.0225 per °C and+0.0263 per °C respectively. In addition, at a solar irradiance value of 500 Wm-2, the current, voltage, power and efficiency dependence coefficients on operating array temperatures obtained from linear regression were:+37.0 mA per °C, -31.8 mV per °C, -0.1036 W per °C and -0.0214% per °C, for the a-Si modules,+22.5 mA per °C, -39.4 mV per °C, -0.2525 W per °C, -0.072% per °C for the multicrystalline modules and+26.3 mA per °C, -32.6 mV per °C, -0.1742 W per °C, -0.0523% per °C for the mono-crystalline modules. These findings have a direct impact on all systems design and sizing in similar climate regions. It is thus recommended that the design and sizing of PV systems in the hot and humid climate regions of the globe give due address to these findings.

KW - Field data

KW - Solar photovoltaics (PV)

KW - Temperature dependence coefficients

UR - http://www.scopus.com/inward/record.url?scp=65649152612&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=65649152612&partnerID=8YFLogxK

U2 - 10.3844/ajas.2009.586.593

DO - 10.3844/ajas.2009.586.593

M3 - Article

VL - 6

SP - 586

EP - 593

JO - American Journal of Applied Sciences

JF - American Journal of Applied Sciences

SN - 1546-9239

IS - 4

ER -