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Effects of Ambient Temperature on Performance Analysis of Mono-crystalline Solar Photovoltaic Module in Composite
Climate
Tanima BhattacharyaElectrical Engineering Department, NIT, Agartala, India
Ajoy Kumar ChakrabortyDepartment of Electrical Engineering, NIT Agartala, India,
Kaushik PalDepartment of Mechanical and Industrial Engineering,
IIT Roorkee, India.
IVth International Conference on Advances in Energy Research, Indian Institute of Technology, Bombay
December 10-12, 2013
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RENEWABLE ENERGY SECTOR IN TRIPURA
Remote Village Electrification : 1860 KW
Solar Lantern Programme : 200 KW
Solar Power Plant : 300 KW
Solar Street Lighting System : 200KW
Solar Water Heating system : 54KW
Total power Installed : 2.6 MW
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GEOGRAPHICAL LOCATION AND METEOROLOGICAL DATA
The Analysis has been done at Agartala, Tripura
Lattitude: 23° 50' N
Longitude: 91° 25' E
Height from Sea Level: 43.786 m above sea level
Average Maximum temperature : 33.4 0C
Average Minimum temperature : 15.9 0C
Average Solar Irradiation received : 4-5 Kwh/m2
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AVERAGE WEATHER OF TRIPURA FOR LAST FIVE YEARS
Month Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year
Average high
(°C )
25.6 28.3 32.5 33.7 32.8 31.8 31.4 31.7 31.7 31.1 29.2 26.4 30.52
Average low
(°C )
10 13.2 18.7 22.2 23.5 24.6 24.8 24.7 24.3 22 16.6 11.3 19.66
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VARIATION OF EFFICIENCY WITH RELATIVE HUMIDITY
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VARIATION OF EFFICIENCY WITH WIND SPEED
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VARIATION OF EFFICIENCY WITH SOLAR RADIATION
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AMBIENT TEMPERATURE TABLE FOR EXPERIMENTATION
Month Ambient Temperature(oC)
May 2012 33.9June 2012 32.5July 2012 32.4August 2012 32.4September 2012 32.4October 2012 31.2Novecymber 2012 28.6December 2012 24.1January 2013 21.2February 2013 22.4March 2013 35.0April 2013 35.8
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VARIATION OF AMBIENT TEMPERATURE FOR DIFFERENT PERIOD THROUGHOUT
THE YEAR
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The maximum values of ambient temperature is almost same for the three months July to September of the area of study due to rainy cloud cover and high humidity.
Simultaneously the intensity of solar radiation also reduces. After that, the maximum temperature slightly increases for the month of October. After that from October 2012 to April 2013 the temperature increases linearly.
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MATERIAL USED
Solar photovoltaic module
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SPECIFICATION OF SOLAR MODULE
Peak power : 38 Wp
Short circuit current, Isc: 2.5 amp
Open-circuit voltage,Voc: 21.0 V
Voltage at maximum power, Vmax : 16.4 V
Current at maximum power, Imax : 2.26 amp
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OPERATING PARAMETERS
Open circuit voltage Short circuit current Ambient Temperature
MEASURED PARAMETERS Solar Photovoltaic Module Power Module Efficiency
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In the recent study a statistical analysis has been done to show
the ambient temperature and the efficiency of the solar module are
correlated with each other.
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STATISTICAL ANALYSIS
Independent variable : Ambient
Temperature
Dependent Variable : Module Efficiency
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VARIATION OF EFFICIENCY THROUGHOUT THE YEAR
Month Module Efficiency(%)
May 2012 13.32June 2012 13.01July 2012 12.98August 2012 12.98September 2012 12.98October 2012 12.72November 2012 12.14December 2012 12.23January 2013 11.50February 2013 11.77March 2013 13.56April 2013 13.74
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VARIATION OF MODULE EFFICIENCY FOR DIFFERENT PERIOD THROUGHOUT THE
YEAR
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VARIATION OF EFFICIENCY WITH THE VARIATION OF AMBIENT TEMPERATURE Month Ambient
Temperature(oC)
Module Efficiency(%)
May 2012 33.9 13.32June 2012 32.5 13.01July 2012 32.4 12.98August 2012 32.4 12.98September 2012 32.4 12.98October 2012 31.2 12.72November 2012 28.6 12.14December 2012 24.1 12.23January 2013 21.2 11.50February 2013 22.4 11.77March 2013 35.5 13.56April 2013 35.8 13.74
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REGRESSION ANALYSIS
Effect
Regression
Residual
Total
Sums of squares
4.969844
0.375779
5.345623
Mean squares
4.969844
0.037578
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REGRESSION SUMMARY FOR DEPENDENT VARIABLE
R = 0.96421126, R2 = 0.92970335Adjusted R2 = 0.92267369
N= 12
Intercept
Ambient Temperature
Beta
--------
0.964211
Std. Error of Beta
---------
0.083843
B
8.662075
0.135549
Std. error of B
0.359844
0.11787
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SUMMARY STATISTICS EFFICIENCY
Statistics Value
Multiple R
Multiple R2
Adjusted R2
Standard error of Estimate
0.9642
0.9297
0.9227
0.1939
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REGRESSION DESCRIPTIVE STATISTICS
Variable Ambient Temperature
Efficiency
Ambient Temperature
Efficiency
1.000000
0.964221
0.964211
1.000000
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VARIATION OF MODULE EFFICIENCY WITH AMBIENT TEMPERATURE WITH 95 % CONFIDENCE LEVEL
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VARIATION OF MODULE EFFICIENCY WITH AMBIENT TEMPERATURE
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The value of correlation coefficient (r2) which is about 92% obtained from the statistical analysis indicates the very good correlation of the two variables. The regression equation obtained from the analysis is:
y = 8.6621+0.1355 * x ,
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RESULTS
1.Correlation coefficient (r2) is 92% which indicates a very good correlation.
2. Direct proportionality between ambient temperature and solar photovoltaic module efficiency.
3. Positive correlation exists between the two variables.
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CONCLUSIONS
1. SPV modules performance varies with actual location and prevailing environmental condition to which they are subjected.
2. The specification given by the manufacturer does not actually give the accurate result while analyzing the performance of the PV system for a particular area.
3. Ambient Temperature can be used as parameter for predicting
the performance of photovoltaic module for the area of recent
study.
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Thank You
