SlideShare a Scribd company logo
P K Dash Int. Journal of Engineering Research and Applications www.ijera.com
ISSN : 2248-9622, Vol. 5, Issue 1( Part 1), January 2015, pp.148-151
www.ijera.com 148 | P a g e
Effect of Temperature on Power Output from Different
Commercially available Photovoltaic Modules
P K Dash*, N C Gupta**
*(Solar Energy Centre, MNRE, Block -14, CGO Complex, New Delhi, 110003,India )
** (School of Environmental Studies, GGSIP University, Dwaraka, New Delhi, 110075,India)
ABSTRACT
Photovoltaic (PV) modules are rated at standard test condition (STC) i.e. at irradiance of 1000 W/m2
,
temperature at 25 0
C and solar spectrum of Air Mass 1.5G. The actual output from the PV module in the field
varies from its rated output due to change in ambient environmental conditions from the STC. The reduction in
output due to temperature is determined by temperature coefficient which varies with the different types of solar
module technologies. In this study, temperature coefficient of different types of commercially available solar
modules is evaluated. The testing has been carried out at PV test facility of Solar Energy Centre, New Delhi.
The modules are selected randomly from various manufactures. It is found that the average temperature
coefficient of power for mono-crystalline, multi-crystalline and CdTe based modules are -0.446 %/°C, -0.387
%/°C and -0.172 %/°C respectively. In case of amorphous silicon module, only one sample is measured and the
temperature coefficient is -0.234 %/°C. This study shows that the temperature coefficient for mono crystalline
silicon module is higher than the other types of solar modules. This study provides an understanding on the
variation in energy generation due to temperature correction between different cell technologies.
Keywords –Solar cell, photovoltaic module, STC, Temperature Coefficient, Power Output.
I. INTRODUCTION
PV module performance is rated under standard
test conditions (STC) i.e. irradiance of 1000 W/m²,
solar spectrum of Air Mass 1.5 and module
temperature at 25°C. Manufacturers of photovoltaic
modules typically provide the ratings at only one
operating condition i.e. STC. However, PV module
operates over a large range of environmental
conditions at the field. So the manufacturer’s
information is not sufficient to determine the actual
performance of the module at field. The suitability
of a PV module technology for a particular site
depends on five major factors which includes annual
solar intensity distribution, variations in the
efficiency of PV module technology with intensity,
annual temperature distribution and module
temperature coefficient, variations in the solar
spectrum distribution and rate of power degradation
of the PV modules with time. The electrical
efficiency of the photovoltaic module depends on
ambient temperature and it reduces when the
temperature increases [1]. Increases in temperature
reduce the band gap of a semiconductor, thereby
effecting most of the semiconductor material
parameters. The decrease in the band gap of a
semiconductor with increasing temperature can be
viewed as increasing the energy of the electrons in
the material [2]. The parameter most affected by an
increase in temperature is the open circuit voltage
[2]. Temperature coefficient indicates how much
will be the decrement in power output if PV module
temperature varies from STC. It is also true that this
temperature coefficient varies from one type of solar
cell technology to another.
Various researchers have done sufficient work to
understand which PV technology will be best
suitable in particular climatic conditions. Ronak et
al. study concluded that amorphous silicon performs
well under Malaysia’s tropical hot and humid
climate, due to favourable constant high solar
radiation in Malaysia and predominant diffuse nature
of solar radiation [3]. Adiyabat et al. analysed the
results of a long-term performance of two different
types of PV module based on actual data measured
over a period of more than six years in the Gobi
Desert of Mongolia [4]. This study observed that the
high output has been achieved due to the operating
condition in an extreme
low ambient temperature and the PV module
degradation rate indicated is only -1.5 %/yr after six
years of exposure test. In summary, this study
showed that a PV module with a
high temperature coefficient, such as crystalline
silicon, is advantageous for use in the Gobi Desert
area [4]. Lim et al. analyzed the temperature effect
on the PV module output and concluded that output
decreases 0.469 %/°C with the temperature variation
when other factors are controlled [5]. Makrides et al.
analysed the effect of temperature on different grid
connected PV technologies installed in Cyprus. The
results showed that over the evaluation period the
RESEARCH ARTICLE OPEN ACCESS
P K Dash Int. Journal of Engineering Research and Applications www.ijera.com
ISSN : 2248-9622, Vol. 5, Issue 1( Part 1), January 2015, pp.148-151
www.ijera.com 149 | P a g e
highest average thermal losses in annual DC energy
yield were 8% for mono crystalline silicon and 9%
for multi crystalline silicon technologies while for
thin film technologies, the average losses were 5%
[6]. Skoplaki and Palyvos observed that the
operating temperature plays a pivotal role in the
photovoltaic conversion process. Both the electrical
efficiency and hence the power output of a PV
module depends linearly on the operating
temperature and decreases with cell temperature [7].
George et al. evaluated the temperature behaviour of
13 different types of PV modules, which had been
exposed to real conditions in Stuttgart, Germany and
Nicosia, Cyprus. The temperature coefficient for
mono crystalline, multi crystalline and amorphous
silicon varied -0.353 to -0.456 %/0
C, -0.403 to -
0.502 %/0
C and -0.039 to - 0.461%/0
C respectively
[8]. Minemoto et al. analysed the impact of spectral
irradiance distribution and temperature on the
outdoor performance of amorphous silicon and multi
crystalline silicon modules and concluded that
the output energy of amorphous silicon modules
mainly depends on spectrum distribution and is
higher under blue-rich spectrum. In contrast,
the output energy of mono crystalline
silicon module is sensitive to module
temperature but not to spectrum distribution [9].
Kalogirou and Tripanagnostopoulos showed that for
mono crystalline and poly crystalline silicon solar
cells, the efficiency decreases by about 0.45% for
every degree rise in temperature, while for
amorphous silicon cells, the effect is less, with a
decrease of about 0.25% per degree rise in
temperature [10]. Vokas et al. showed the electrical
efficiency of the photovoltaic panel depends on its
temperature and it reduces when the temperature
increases [1]. Nelson concluded that the low
temperature operation is necessary for PV modules.
As temperature is increased, the dark saturation
current of the PV cell increases which leads to a
decrease in open circuit voltage. Also, the band gap
of the photovoltaic material decreases which leads to
an increase in photocurrent. The first effect is more
dominant than the second effect and thus there is a
net decrease in the solar conversion efficiency with
increasing temperature [2]. Nishioka et al. analysed
field test data from a 50 kW PV system installed at
Japan. It is found that the PV system operated in a
wide temperature range and was strongly affected by
the temperature coefficient on conversion efficiency
when the module temperature became high. The
results showed that annual output energy of the PV
system increased about 1% by an improvement of
0.1%/°C in the temperature coefficient [11].
Jawaharlal Nehru National Solar Mission is a major
initiative of the Government of India to promote
solar energy while addressing India’s energy
security challenges [12]. The mission has set an
ambitious target of deploying 20 GW of grid
connected solar power by 2022 in the country. The
installed capacity of grid interactive PV based
electricity is 1648 MW as on 31st
March 2013[12].
Hence it is important to understand the performance
of modules at different ambient temperature of the
country. In this study temperature coefficient of
different types of commercially available solar
modules are evaluated. The testing has been carried
out at PV test facility of Solar Energy Centre, New
Delhi. The modules are selected randomly from
various manufactures.
II. EXPERIMENTS
Temperature coefficients for different type of
PV technologies are evaluated at the test facility
established at Solar Energy Centre (SEC), New
Delhi for testing of modules under indoor laboratory
conditions. Figure1and 2 represents the large area
(2m × 2m) single pulse sun simulator (Model:
QuickSun 700A, Endeas, Finland) and
environmental test chamber (Model: BSC-ETC
1000, Make: Tenny incorporation USA). The
temperature of the module is increased at
environmental test chamber. Once the module has
reached the desired temperature, short circuit
current, open circuit voltage and power output are
measured. The module temperature has varied in
steps of approximately 5°C over a range of interest
and kept for 30 °C before the measurements.
Different types of module from various
manufacturers are tested which are selected
randomly. The module rated capacity varies from 3
Wp to 300 Wp. Four different solar cell technologies
i.e. single crystalline silicon, multi crystalline
silicon; amorphous silicon and CdTe are used for
evaluation of temperature coefficient. The
temperature coefficient is determined according to
IEC 61215 and 61646 standards at an irradiance of
1000 W/m2 [13,14]. The experimental
measurements of short circuit current with respect to
various temperature are plotted and the least square
fit curve is obtained. The slope of this least square fit
curve divided by the short circuit current at 25°C is
the temperature coefficient for current for this
particular module. Similar kinds of experiments are
conducted for open circuit voltage and power for
evaluation of temperature coefficients for open
circuit voltage and power respectively.
P K Dash Int. Journal of Engineering Research and Applications www.ijera.com
ISSN : 2248-9622, Vol. 5, Issue 1( Part 1), January 2015, pp.148-151
www.ijera.com 150 | P a g e
Figure 1 QuickSun 700A large area solar simulator
Figure 2 Environmental test chambers.
III. Results and Discussion
The temperature coefficient for short circuit
current, open circuit voltage and power are evaluated
for mono crystalline silicon, multi crystalline silicon,
amorphous silicon and CdTe based solar modules.
Figure 3-5 represent the variations in current,
voltage and power with respect to temperature for a
mono crystalline silicon module of 10 Wp rated
capacity. Similar kinds of profiles are obtained for
different rated capacity modules and also for
different types of module technologies. It can be
observed from these Figures that a linear best fitted
straight line has been drawn based on the
experimental measurements. The temperature
coefficient is the slope of this best fitted straight line
divided by the value of that parameter at 25°C. In
similar fashion, the temperature coefficients are
evaluated for different module technologies. Table 1
represents the average temperature coefficients of
power for mono crystalline silicon, multi crystalline
silicon, amorphous silicon and CdTe respectively.
The temperature coefficient of power in mono
crystalline silicon varies from -0.394%/°C to -
0.483%/°C with an average of -0.446%/°C. In case
of multi crystalline silicon, it varies from-0.329%/°C
to -0.506%/°C with an average of -0.387 %/°C. In
case of CdTe, only two samples are measured with
values -0.168%/°C and 0.176%/°C and an average of
-0.172%/°C. In case of amorphous silicon module,
only one sample is measured and the temperature
coefficient is -0.234%/°C. It is found from the study
that the average temperature coefficient of power for
CdTe technology is minimum (-0.17%/°C) and
maximum for mono crystalline silicon module (-
0.446%/°C). It also can be concluded that CdTe
module will perform better in high ambient
temperature region in compare to other types of
modules.
Figure 3 Temperature coefficient of short circuit current
(mono C-Si sample : 10Wp)
Figure 4 Temperature coefficient of open circuit voltage
(mono C-Si sample : 10Wp)
Figure 5 Temperature coefficient of power (mono C-Si sample:
10Wp)
P K Dash Int. Journal of Engineering Research and Applications www.ijera.com
ISSN : 2248-9622, Vol. 5, Issue 1( Part 1), January 2015, pp.148-151
www.ijera.com 151 | P a g e
Table 1 Temperature coefficient for different PV module
technologies
Type
of PV
modul
e
Modul
e peak
output
(Wp)
Temperature coefficient
(%/°C)
Average
temperatu
re
coefficien
t of
power
(%/°C)
curren
t
voltag
e
Power
Mono
C-Si
10 0.044 -0.337 -0.440 -0.446
74 0.025 -0.336 -0.479
40 0.034 -0.336 -0.455
75 0.037 -0.323 -0.428
12 0.029 -0.359 -0.483
12 0.027 -0.295 -0.394
Multi
C-Si
75 0.031 -0.267 -0.356 -0.387
75 0.059 -0.369 -0.506
12 0.036 -0.291 -0.373
50 0.046 -0.264 -0.346
50 0.033 -0.291 -0.396
300 0.054 -0.306 -0.428
75 0.001 -0.058 -0.329
75 0.002 -0.075 -0.364
a-Si 3 0.098 -0.294 -0.234 -0.234
CdTe
80 0.071 -0.28 -0.176 -0.172
80 0.034 -0.197 -0.168
IV. Conclusion
This work helps in understanding the variation
in output from a particular PV technology due to
variation in operating temperature only. It is found
from the analysis that CdTe photovoltaic modules
seems to be better option in hot climates considering
the temperature loss to be minimum due to low
temperature coefficient. This study is planned to
extend for generating data with more number of
modules to predict the trend of temperature
coefficient of power with respect to different rated
module of a particular technology in the different
climatic zones of India. It is important to have a
technology mapping based on energy yield for each
PV technology for different climatic zones so as to
get maximum possible return from the project
investment.
ACKNOWLEDGEMENTS
The authors sincerely acknowledge the
contribution of National Institute of Solar Energy
(formerly known as Solar Energy Centre) for
providing the experimental facility to carry out the
above research work..
REFERENCES
[1] Vokas G, Christandonis N, Skittides F. Hybrid
photovoltaic thermal systems for domestic
heating and cooling-a theoretical approach.
Solar Energy 2006; 80: 607–15.
[2] Nelson J. The physics of solar cells (Properties
of semiconductor materials). Imperial College
Press, London, 2003.
[3] Ronak D, Adnan I, Goh LJ, Ruslan MH,
Kamaruzzaman S. Predicting the performance of
amorphous and crystalline silicon based
photovoltaic solar thermal collectors. Energy
Conversion and Management 2011; 52: 1741-
47.
[4] Adiyabat A, et al. Evaluation of solar energy
potential and PV module performance in the
Gobi Desert of Mongolia. Progress in
Photovoltaics: Research and Applications 2006;
14:553-66.
[5] Lim JL, Woo SC, Jung TH, Min YK, Won CS,
Ahn HK. Analysis of factor on the temperature
effect on the output of PV module. Transactions
of the Korean Institute of Electrical Engineers
2013; 62: 365-70.
[6] Makrides G, Zinsser B, Phinikarides
A, Schubert, M. and Georghiou, G.E.
Temperature and thermal annealing effects on
different photovoltaic technologies. Renewable
Energy 2012; 43: 407-17.
[7] Skoplaki E, Palyvos JA. On the temperature
dependence of photovoltaic module electrical
performance: A review of efficiency/power
correlations. Solar Energy 2009; 83: 614-24.
[8] Makrides G, Bastian Z, George EG, Markus S,
Jurgen HW. Temperature behaviour of different
photovoltaic systems installed in Cyprus and
Germany. Solar Energy Materials and Solar
Cells 2009; 93: 1095-99.
[9] Minemoto T, Nagae S, Takakura H. Impact of
spectral irradiance distribution
and temperature on the outdoor performance of
amorphous Si photovoltaic modules. Solar
Energy Materials and Solar Cells 2007; 91:
919-23.
[10] Kalogirou SA, Tripanagnostopoulos Y. Hybrid
PV/T solar systems for domestic hot water and
electricity production. Energy Conversion and
Management 2006; 47: 3368–82.
[11] Nishioka K, Hatayama T, Uraoka Y, Fuyuki
T, Hagihara R, Watanabe M. Field-test analysis
of PV system output characteristics focusing on
module temperature. Solar Energy Materials
and Solar Cells 2003; 75: 665-71.
[12] Ministry of New and Renewable Energy
Sources (MNRE); http://www.mnre.gov.in.
Accessed on 15 May, 2013.
[13] IEC 61215:2005 International Standard
Crystalline Silicon Terrestrial Photovoltaic
Modules- Design Qualification and type
approval.
[14] IEC 61646: International Standard Thin Film
Terrestrial Photovoltaic Modules- Design
Qualification and type approval.

More Related Content

PDF
7 article azojete vol 9 69 81
PDF
Thermoelectric power generated from computer waste heat
PDF
C0312010014
PDF
American Journal of Nanotechnology & Nanomedicine
PDF
EFFECT OF HOT-SPOTTED CELL ON PV MODULE PERFORMANCE
PDF
Indoor and outdoor investigation comparison of photovoltaic thermal air colle...
PDF
Application Prospects of Thermoelectric Technique - Crimson Publishers
PDF
Modeling and simulation of solar photovoltaic module
7 article azojete vol 9 69 81
Thermoelectric power generated from computer waste heat
C0312010014
American Journal of Nanotechnology & Nanomedicine
EFFECT OF HOT-SPOTTED CELL ON PV MODULE PERFORMANCE
Indoor and outdoor investigation comparison of photovoltaic thermal air colle...
Application Prospects of Thermoelectric Technique - Crimson Publishers
Modeling and simulation of solar photovoltaic module

What's hot (20)

PDF
PERFORMANCE OPTIMIZATION OF HYBRID SOLAR HEATING SYSTEM USING THERMOELECTRIC...
PPT
Generating Thermo-electricity using Graphit and Aluminum module
PDF
Solar Powered Air Conditioning by Aid of TEC for Mina Tents Application
PPTX
THERMOELECTRIC MATERIAL AND DEVICE.
PPT
Investigation on Instruments and Measurement Techniques for the Thermoelectri...
PDF
45 design
PDF
aseminar report on magnetic refrigeration
PDF
IRJET- A Modern Lightning System for Power Saving Application
PDF
Prospects of Microwave Heating in Silicon Solar Cell Fabrication – A Review
PDF
The usage of thermoelectric generator as a renewable energy source
PPT
THERMOELECTRIC GENERATORS SEMINAR IEEE
PDF
Electricity Generation using Thermoelectric System from Waste Heat of Flue Gases
PDF
IRJET- Improving Efficiency of Solar Panel using Simple Cooling System
DOCX
Future train (electricity generated from heat loss) report
PDF
06 6377 9057-1-pb
PDF
Thermo Electric Generators
PPTX
Microelectronic technologies for alternative energy sources
PPTX
Thermoelectric generation using waste heat
PDF
Performance Analysis of (Bi2Te3-PbTe) Hybrid Thermoelectric Generator
PDF
Dielectric heating
PERFORMANCE OPTIMIZATION OF HYBRID SOLAR HEATING SYSTEM USING THERMOELECTRIC...
Generating Thermo-electricity using Graphit and Aluminum module
Solar Powered Air Conditioning by Aid of TEC for Mina Tents Application
THERMOELECTRIC MATERIAL AND DEVICE.
Investigation on Instruments and Measurement Techniques for the Thermoelectri...
45 design
aseminar report on magnetic refrigeration
IRJET- A Modern Lightning System for Power Saving Application
Prospects of Microwave Heating in Silicon Solar Cell Fabrication – A Review
The usage of thermoelectric generator as a renewable energy source
THERMOELECTRIC GENERATORS SEMINAR IEEE
Electricity Generation using Thermoelectric System from Waste Heat of Flue Gases
IRJET- Improving Efficiency of Solar Panel using Simple Cooling System
Future train (electricity generated from heat loss) report
06 6377 9057-1-pb
Thermo Electric Generators
Microelectronic technologies for alternative energy sources
Thermoelectric generation using waste heat
Performance Analysis of (Bi2Te3-PbTe) Hybrid Thermoelectric Generator
Dielectric heating
Ad

Viewers also liked (17)

DOC
Rpt kssr sn t3 2015
PPT
Yksinyrittäjän hinnoittelu
PDF
A Comparison Analysis of Unipolar and Bipolar Switching modulated Cascade H-B...
PDF
Multiband Microstrip Antenna for Wi-MAX Application-A study
PDF
Survey Paper on Image Denoising Using Spatial Statistic son Pixel
PDF
Maximum Power Point Tracking Using Adaptive Fuzzy Logic control for Photovolt...
PPTX
Surat lamaran kerja
PDF
A Simulated Behavioral Study of DSR Routing Protocol Using NS-2
PPTX
моя школа
PDF
Electronic bands structure and gap in mid-infrared detector InAs/GaSb type II...
DOCX
Положение о структурных подразделениях учреждения
PPT
Study on Thinning
PDF
Fais Credits 4
PDF
Budapest Transcript
PDF
ידיעון כרמיה 1-2015
PDF
Radar target detection simulation
PDF
A review paper on Optimization of process parameter of EDM for air hardening ...
Rpt kssr sn t3 2015
Yksinyrittäjän hinnoittelu
A Comparison Analysis of Unipolar and Bipolar Switching modulated Cascade H-B...
Multiband Microstrip Antenna for Wi-MAX Application-A study
Survey Paper on Image Denoising Using Spatial Statistic son Pixel
Maximum Power Point Tracking Using Adaptive Fuzzy Logic control for Photovolt...
Surat lamaran kerja
A Simulated Behavioral Study of DSR Routing Protocol Using NS-2
моя школа
Electronic bands structure and gap in mid-infrared detector InAs/GaSb type II...
Положение о структурных подразделениях учреждения
Study on Thinning
Fais Credits 4
Budapest Transcript
ידיעון כרמיה 1-2015
Radar target detection simulation
A review paper on Optimization of process parameter of EDM for air hardening ...
Ad

Similar to Effect of Temperature on Power Output from Different Commercially available Photovoltaic Modules (20)

PDF
Experimental Analysis of Factors Affecting the Power Output of the PV Module
PDF
Impact of solar radiation and temperature levels on the variation of the seri...
PDF
The impact of high temperature and irradiance source on the efficiency of po...
PDF
Ijetcas14 643
PDF
Performance analysis of partially covered photovoltaic thermal (pvt) water co...
PDF
Experimental Investigation of Effect of Environmental Variables on Performanc...
PDF
Performance comparison and impact of weather conditions on different photovol...
PDF
Photovoltaic Modules Performance Loss Evaluation for Nsukka, South East Niger...
PDF
PDF
COMPLETEREPORT.pdf
PDF
C05410915
PDF
Performance of Grid-connected Photovoltaic System in Equatorial Rainforest Fu...
PDF
50120140503010
PDF
Using Design of Experiments Approach to analysis Factors Effecting on the PV ...
DOCX
Enhancing the Power and Efficiency of Photovoltaic Panel Using Heat Sinks wit...
PDF
Iaetsd modelling & simulation of solar pv array field
PDF
An Investigation of the Temperature Effect on Solar Panel Efficiency Based on...
PDF
Fundamental study on the impacts of water-cooling and accumulated dust on pho...
Experimental Analysis of Factors Affecting the Power Output of the PV Module
Impact of solar radiation and temperature levels on the variation of the seri...
The impact of high temperature and irradiance source on the efficiency of po...
Ijetcas14 643
Performance analysis of partially covered photovoltaic thermal (pvt) water co...
Experimental Investigation of Effect of Environmental Variables on Performanc...
Performance comparison and impact of weather conditions on different photovol...
Photovoltaic Modules Performance Loss Evaluation for Nsukka, South East Niger...
COMPLETEREPORT.pdf
C05410915
Performance of Grid-connected Photovoltaic System in Equatorial Rainforest Fu...
50120140503010
Using Design of Experiments Approach to analysis Factors Effecting on the PV ...
Enhancing the Power and Efficiency of Photovoltaic Panel Using Heat Sinks wit...
Iaetsd modelling & simulation of solar pv array field
An Investigation of the Temperature Effect on Solar Panel Efficiency Based on...
Fundamental study on the impacts of water-cooling and accumulated dust on pho...

Recently uploaded (20)

PPTX
Effective Security Operations Center (SOC) A Modern, Strategic, and Threat-In...
PDF
Spectral efficient network and resource selection model in 5G networks
PDF
Dropbox Q2 2025 Financial Results & Investor Presentation
PDF
Building Integrated photovoltaic BIPV_UPV.pdf
PDF
Network Security Unit 5.pdf for BCA BBA.
PDF
Advanced methodologies resolving dimensionality complications for autism neur...
PPTX
sap open course for s4hana steps from ECC to s4
PDF
Empathic Computing: Creating Shared Understanding
PDF
Agricultural_Statistics_at_a_Glance_2022_0.pdf
PDF
Machine learning based COVID-19 study performance prediction
PPTX
Big Data Technologies - Introduction.pptx
PDF
Encapsulation theory and applications.pdf
PDF
MIND Revenue Release Quarter 2 2025 Press Release
PDF
Chapter 3 Spatial Domain Image Processing.pdf
PDF
Blue Purple Modern Animated Computer Science Presentation.pdf.pdf
PDF
Approach and Philosophy of On baking technology
PPTX
20250228 LYD VKU AI Blended-Learning.pptx
PPT
Teaching material agriculture food technology
PDF
7 ChatGPT Prompts to Help You Define Your Ideal Customer Profile.pdf
PDF
cuic standard and advanced reporting.pdf
Effective Security Operations Center (SOC) A Modern, Strategic, and Threat-In...
Spectral efficient network and resource selection model in 5G networks
Dropbox Q2 2025 Financial Results & Investor Presentation
Building Integrated photovoltaic BIPV_UPV.pdf
Network Security Unit 5.pdf for BCA BBA.
Advanced methodologies resolving dimensionality complications for autism neur...
sap open course for s4hana steps from ECC to s4
Empathic Computing: Creating Shared Understanding
Agricultural_Statistics_at_a_Glance_2022_0.pdf
Machine learning based COVID-19 study performance prediction
Big Data Technologies - Introduction.pptx
Encapsulation theory and applications.pdf
MIND Revenue Release Quarter 2 2025 Press Release
Chapter 3 Spatial Domain Image Processing.pdf
Blue Purple Modern Animated Computer Science Presentation.pdf.pdf
Approach and Philosophy of On baking technology
20250228 LYD VKU AI Blended-Learning.pptx
Teaching material agriculture food technology
7 ChatGPT Prompts to Help You Define Your Ideal Customer Profile.pdf
cuic standard and advanced reporting.pdf

Effect of Temperature on Power Output from Different Commercially available Photovoltaic Modules

  • 1. P K Dash Int. Journal of Engineering Research and Applications www.ijera.com ISSN : 2248-9622, Vol. 5, Issue 1( Part 1), January 2015, pp.148-151 www.ijera.com 148 | P a g e Effect of Temperature on Power Output from Different Commercially available Photovoltaic Modules P K Dash*, N C Gupta** *(Solar Energy Centre, MNRE, Block -14, CGO Complex, New Delhi, 110003,India ) ** (School of Environmental Studies, GGSIP University, Dwaraka, New Delhi, 110075,India) ABSTRACT Photovoltaic (PV) modules are rated at standard test condition (STC) i.e. at irradiance of 1000 W/m2 , temperature at 25 0 C and solar spectrum of Air Mass 1.5G. The actual output from the PV module in the field varies from its rated output due to change in ambient environmental conditions from the STC. The reduction in output due to temperature is determined by temperature coefficient which varies with the different types of solar module technologies. In this study, temperature coefficient of different types of commercially available solar modules is evaluated. The testing has been carried out at PV test facility of Solar Energy Centre, New Delhi. The modules are selected randomly from various manufactures. It is found that the average temperature coefficient of power for mono-crystalline, multi-crystalline and CdTe based modules are -0.446 %/°C, -0.387 %/°C and -0.172 %/°C respectively. In case of amorphous silicon module, only one sample is measured and the temperature coefficient is -0.234 %/°C. This study shows that the temperature coefficient for mono crystalline silicon module is higher than the other types of solar modules. This study provides an understanding on the variation in energy generation due to temperature correction between different cell technologies. Keywords –Solar cell, photovoltaic module, STC, Temperature Coefficient, Power Output. I. INTRODUCTION PV module performance is rated under standard test conditions (STC) i.e. irradiance of 1000 W/m², solar spectrum of Air Mass 1.5 and module temperature at 25°C. Manufacturers of photovoltaic modules typically provide the ratings at only one operating condition i.e. STC. However, PV module operates over a large range of environmental conditions at the field. So the manufacturer’s information is not sufficient to determine the actual performance of the module at field. The suitability of a PV module technology for a particular site depends on five major factors which includes annual solar intensity distribution, variations in the efficiency of PV module technology with intensity, annual temperature distribution and module temperature coefficient, variations in the solar spectrum distribution and rate of power degradation of the PV modules with time. The electrical efficiency of the photovoltaic module depends on ambient temperature and it reduces when the temperature increases [1]. Increases in temperature reduce the band gap of a semiconductor, thereby effecting most of the semiconductor material parameters. The decrease in the band gap of a semiconductor with increasing temperature can be viewed as increasing the energy of the electrons in the material [2]. The parameter most affected by an increase in temperature is the open circuit voltage [2]. Temperature coefficient indicates how much will be the decrement in power output if PV module temperature varies from STC. It is also true that this temperature coefficient varies from one type of solar cell technology to another. Various researchers have done sufficient work to understand which PV technology will be best suitable in particular climatic conditions. Ronak et al. study concluded that amorphous silicon performs well under Malaysia’s tropical hot and humid climate, due to favourable constant high solar radiation in Malaysia and predominant diffuse nature of solar radiation [3]. Adiyabat et al. analysed the results of a long-term performance of two different types of PV module based on actual data measured over a period of more than six years in the Gobi Desert of Mongolia [4]. This study observed that the high output has been achieved due to the operating condition in an extreme low ambient temperature and the PV module degradation rate indicated is only -1.5 %/yr after six years of exposure test. In summary, this study showed that a PV module with a high temperature coefficient, such as crystalline silicon, is advantageous for use in the Gobi Desert area [4]. Lim et al. analyzed the temperature effect on the PV module output and concluded that output decreases 0.469 %/°C with the temperature variation when other factors are controlled [5]. Makrides et al. analysed the effect of temperature on different grid connected PV technologies installed in Cyprus. The results showed that over the evaluation period the RESEARCH ARTICLE OPEN ACCESS
  • 2. P K Dash Int. Journal of Engineering Research and Applications www.ijera.com ISSN : 2248-9622, Vol. 5, Issue 1( Part 1), January 2015, pp.148-151 www.ijera.com 149 | P a g e highest average thermal losses in annual DC energy yield were 8% for mono crystalline silicon and 9% for multi crystalline silicon technologies while for thin film technologies, the average losses were 5% [6]. Skoplaki and Palyvos observed that the operating temperature plays a pivotal role in the photovoltaic conversion process. Both the electrical efficiency and hence the power output of a PV module depends linearly on the operating temperature and decreases with cell temperature [7]. George et al. evaluated the temperature behaviour of 13 different types of PV modules, which had been exposed to real conditions in Stuttgart, Germany and Nicosia, Cyprus. The temperature coefficient for mono crystalline, multi crystalline and amorphous silicon varied -0.353 to -0.456 %/0 C, -0.403 to - 0.502 %/0 C and -0.039 to - 0.461%/0 C respectively [8]. Minemoto et al. analysed the impact of spectral irradiance distribution and temperature on the outdoor performance of amorphous silicon and multi crystalline silicon modules and concluded that the output energy of amorphous silicon modules mainly depends on spectrum distribution and is higher under blue-rich spectrum. In contrast, the output energy of mono crystalline silicon module is sensitive to module temperature but not to spectrum distribution [9]. Kalogirou and Tripanagnostopoulos showed that for mono crystalline and poly crystalline silicon solar cells, the efficiency decreases by about 0.45% for every degree rise in temperature, while for amorphous silicon cells, the effect is less, with a decrease of about 0.25% per degree rise in temperature [10]. Vokas et al. showed the electrical efficiency of the photovoltaic panel depends on its temperature and it reduces when the temperature increases [1]. Nelson concluded that the low temperature operation is necessary for PV modules. As temperature is increased, the dark saturation current of the PV cell increases which leads to a decrease in open circuit voltage. Also, the band gap of the photovoltaic material decreases which leads to an increase in photocurrent. The first effect is more dominant than the second effect and thus there is a net decrease in the solar conversion efficiency with increasing temperature [2]. Nishioka et al. analysed field test data from a 50 kW PV system installed at Japan. It is found that the PV system operated in a wide temperature range and was strongly affected by the temperature coefficient on conversion efficiency when the module temperature became high. The results showed that annual output energy of the PV system increased about 1% by an improvement of 0.1%/°C in the temperature coefficient [11]. Jawaharlal Nehru National Solar Mission is a major initiative of the Government of India to promote solar energy while addressing India’s energy security challenges [12]. The mission has set an ambitious target of deploying 20 GW of grid connected solar power by 2022 in the country. The installed capacity of grid interactive PV based electricity is 1648 MW as on 31st March 2013[12]. Hence it is important to understand the performance of modules at different ambient temperature of the country. In this study temperature coefficient of different types of commercially available solar modules are evaluated. The testing has been carried out at PV test facility of Solar Energy Centre, New Delhi. The modules are selected randomly from various manufactures. II. EXPERIMENTS Temperature coefficients for different type of PV technologies are evaluated at the test facility established at Solar Energy Centre (SEC), New Delhi for testing of modules under indoor laboratory conditions. Figure1and 2 represents the large area (2m × 2m) single pulse sun simulator (Model: QuickSun 700A, Endeas, Finland) and environmental test chamber (Model: BSC-ETC 1000, Make: Tenny incorporation USA). The temperature of the module is increased at environmental test chamber. Once the module has reached the desired temperature, short circuit current, open circuit voltage and power output are measured. The module temperature has varied in steps of approximately 5°C over a range of interest and kept for 30 °C before the measurements. Different types of module from various manufacturers are tested which are selected randomly. The module rated capacity varies from 3 Wp to 300 Wp. Four different solar cell technologies i.e. single crystalline silicon, multi crystalline silicon; amorphous silicon and CdTe are used for evaluation of temperature coefficient. The temperature coefficient is determined according to IEC 61215 and 61646 standards at an irradiance of 1000 W/m2 [13,14]. The experimental measurements of short circuit current with respect to various temperature are plotted and the least square fit curve is obtained. The slope of this least square fit curve divided by the short circuit current at 25°C is the temperature coefficient for current for this particular module. Similar kinds of experiments are conducted for open circuit voltage and power for evaluation of temperature coefficients for open circuit voltage and power respectively.
  • 3. P K Dash Int. Journal of Engineering Research and Applications www.ijera.com ISSN : 2248-9622, Vol. 5, Issue 1( Part 1), January 2015, pp.148-151 www.ijera.com 150 | P a g e Figure 1 QuickSun 700A large area solar simulator Figure 2 Environmental test chambers. III. Results and Discussion The temperature coefficient for short circuit current, open circuit voltage and power are evaluated for mono crystalline silicon, multi crystalline silicon, amorphous silicon and CdTe based solar modules. Figure 3-5 represent the variations in current, voltage and power with respect to temperature for a mono crystalline silicon module of 10 Wp rated capacity. Similar kinds of profiles are obtained for different rated capacity modules and also for different types of module technologies. It can be observed from these Figures that a linear best fitted straight line has been drawn based on the experimental measurements. The temperature coefficient is the slope of this best fitted straight line divided by the value of that parameter at 25°C. In similar fashion, the temperature coefficients are evaluated for different module technologies. Table 1 represents the average temperature coefficients of power for mono crystalline silicon, multi crystalline silicon, amorphous silicon and CdTe respectively. The temperature coefficient of power in mono crystalline silicon varies from -0.394%/°C to - 0.483%/°C with an average of -0.446%/°C. In case of multi crystalline silicon, it varies from-0.329%/°C to -0.506%/°C with an average of -0.387 %/°C. In case of CdTe, only two samples are measured with values -0.168%/°C and 0.176%/°C and an average of -0.172%/°C. In case of amorphous silicon module, only one sample is measured and the temperature coefficient is -0.234%/°C. It is found from the study that the average temperature coefficient of power for CdTe technology is minimum (-0.17%/°C) and maximum for mono crystalline silicon module (- 0.446%/°C). It also can be concluded that CdTe module will perform better in high ambient temperature region in compare to other types of modules. Figure 3 Temperature coefficient of short circuit current (mono C-Si sample : 10Wp) Figure 4 Temperature coefficient of open circuit voltage (mono C-Si sample : 10Wp) Figure 5 Temperature coefficient of power (mono C-Si sample: 10Wp)
  • 4. P K Dash Int. Journal of Engineering Research and Applications www.ijera.com ISSN : 2248-9622, Vol. 5, Issue 1( Part 1), January 2015, pp.148-151 www.ijera.com 151 | P a g e Table 1 Temperature coefficient for different PV module technologies Type of PV modul e Modul e peak output (Wp) Temperature coefficient (%/°C) Average temperatu re coefficien t of power (%/°C) curren t voltag e Power Mono C-Si 10 0.044 -0.337 -0.440 -0.446 74 0.025 -0.336 -0.479 40 0.034 -0.336 -0.455 75 0.037 -0.323 -0.428 12 0.029 -0.359 -0.483 12 0.027 -0.295 -0.394 Multi C-Si 75 0.031 -0.267 -0.356 -0.387 75 0.059 -0.369 -0.506 12 0.036 -0.291 -0.373 50 0.046 -0.264 -0.346 50 0.033 -0.291 -0.396 300 0.054 -0.306 -0.428 75 0.001 -0.058 -0.329 75 0.002 -0.075 -0.364 a-Si 3 0.098 -0.294 -0.234 -0.234 CdTe 80 0.071 -0.28 -0.176 -0.172 80 0.034 -0.197 -0.168 IV. Conclusion This work helps in understanding the variation in output from a particular PV technology due to variation in operating temperature only. It is found from the analysis that CdTe photovoltaic modules seems to be better option in hot climates considering the temperature loss to be minimum due to low temperature coefficient. This study is planned to extend for generating data with more number of modules to predict the trend of temperature coefficient of power with respect to different rated module of a particular technology in the different climatic zones of India. It is important to have a technology mapping based on energy yield for each PV technology for different climatic zones so as to get maximum possible return from the project investment. ACKNOWLEDGEMENTS The authors sincerely acknowledge the contribution of National Institute of Solar Energy (formerly known as Solar Energy Centre) for providing the experimental facility to carry out the above research work.. REFERENCES [1] Vokas G, Christandonis N, Skittides F. Hybrid photovoltaic thermal systems for domestic heating and cooling-a theoretical approach. Solar Energy 2006; 80: 607–15. [2] Nelson J. The physics of solar cells (Properties of semiconductor materials). Imperial College Press, London, 2003. [3] Ronak D, Adnan I, Goh LJ, Ruslan MH, Kamaruzzaman S. Predicting the performance of amorphous and crystalline silicon based photovoltaic solar thermal collectors. Energy Conversion and Management 2011; 52: 1741- 47. [4] Adiyabat A, et al. Evaluation of solar energy potential and PV module performance in the Gobi Desert of Mongolia. Progress in Photovoltaics: Research and Applications 2006; 14:553-66. [5] Lim JL, Woo SC, Jung TH, Min YK, Won CS, Ahn HK. Analysis of factor on the temperature effect on the output of PV module. Transactions of the Korean Institute of Electrical Engineers 2013; 62: 365-70. [6] Makrides G, Zinsser B, Phinikarides A, Schubert, M. and Georghiou, G.E. Temperature and thermal annealing effects on different photovoltaic technologies. Renewable Energy 2012; 43: 407-17. [7] Skoplaki E, Palyvos JA. On the temperature dependence of photovoltaic module electrical performance: A review of efficiency/power correlations. Solar Energy 2009; 83: 614-24. [8] Makrides G, Bastian Z, George EG, Markus S, Jurgen HW. Temperature behaviour of different photovoltaic systems installed in Cyprus and Germany. Solar Energy Materials and Solar Cells 2009; 93: 1095-99. [9] Minemoto T, Nagae S, Takakura H. Impact of spectral irradiance distribution and temperature on the outdoor performance of amorphous Si photovoltaic modules. Solar Energy Materials and Solar Cells 2007; 91: 919-23. [10] Kalogirou SA, Tripanagnostopoulos Y. Hybrid PV/T solar systems for domestic hot water and electricity production. Energy Conversion and Management 2006; 47: 3368–82. [11] Nishioka K, Hatayama T, Uraoka Y, Fuyuki T, Hagihara R, Watanabe M. Field-test analysis of PV system output characteristics focusing on module temperature. Solar Energy Materials and Solar Cells 2003; 75: 665-71. [12] Ministry of New and Renewable Energy Sources (MNRE); http://www.mnre.gov.in. Accessed on 15 May, 2013. [13] IEC 61215:2005 International Standard Crystalline Silicon Terrestrial Photovoltaic Modules- Design Qualification and type approval. [14] IEC 61646: International Standard Thin Film Terrestrial Photovoltaic Modules- Design Qualification and type approval.