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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