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120 tanima bhattacharya

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  • 1. Effects of Ambient Temperature on Performance Analysis of Mono-crystalline Solar Photovoltaic Module in Composite Climate Tanima Bhattacharya Electrical Engineering Department, NIT, Agartala, India Ajoy Kumar Chakraborty Department of Electrical Engineering, NIT Agartala, India, Kaushik Pal Department 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 1

2. RENEWABLE ENERGY SECTOR IN TRIPURA RemoteVillage Electrification : 1860 KW SolarLantern Programme : 200 KW SolarPower Plant : 300 KW SolarStreet Lighting System : 200KW SolarWater Heating system : 54KW Totalpower Installed : 2.6 MW 2 3. 3 4. GEOGRAPHICAL LOCATION AND METEOROLOGICAL DATA The Analysis has been done at Agartala, Tripura Lattitude: 23 50' NLongitude: 91 25' EHeight from Sea Level: 43.786 m above sea levelAverage Maximum temperature : 33.4 0CAverage Minimum temperature : 15.9 0CAverage Solar Irradiation received : 4-5 Kwh/m24 5. AVERAGE WEATHER OF TRIPURA FOR LAST FIVE YEARS Month Jan FebMarApr MayJunJulAugSepOctNovDecYearAverage high 25.6 28.332.533.732.831.831.431.731.731.129.226.4 30.5218.722.223.524.624.824.724.32216.611.3 19.66(C )Average 10 low13.2(C )5 6. VARIATION OF EFFICIENCY WITH RELATIVE HUMIDITY6 7. VARIATION OF EFFICIENCY WITH WIND SPEED7 8. VARIATION OF EFFICIENCY WITH SOLAR RADIATION8 9. AMBIENT TEMPERATURE TABLE FOR EXPERIMENTATION MonthMay 2012 June 2012 July 2012 August 2012 September 2012 October 2012 Novecymber 2012 December 2012 January 2013 February 2013 March 2013 April 2013Ambient Temperature (oC) 33.9 32.5 32.4 32.4 32.4 31.2 28.6 24.1 21.2 22.4 35.0 35.89 10. VARIATION OF AMBIENT TEMPERATURE FOR DIFFERENT PERIOD THROUGHOUT THE YEAR10 11. 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. 11 12. MATERIAL USEDSolar photovoltaic module 12 13. 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 VCurrent at maximum power, Imax : 2.26 amp 13 14. OPERATING PARAMETERS Open circuit voltage Short circuit current Ambient Temperature MEASURED PARAMETERS Solar Photovoltaic Module Power Module Efficiency14 15. 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.15 16. STATISTICAL ANALYSISIndependent variable : Ambient TemperatureDependent Variable : Module Efficiency16 17. VARIATION OF EFFICIENCY THROUGHOUT THE YEAR MonthModule Efficiency (%)May 201213.32June 201213.01July 201212.98August 201212.98September 201212.98October 201212.72November 201212.14December 201212.23January 201311.50February 201311.77March 201313.56April 201313.7417 18. VARIATION OF MODULE EFFICIENCY FOR DIFFERENT PERIOD THROUGHOUT THE YEAR18 19. VARIATION OF EFFICIENCY WITH THE VARIATION OF AMBIENT TEMPERATURE MonthAmbient Temperature (oC)Module Efficiency (%)May 201233.913.32June 201232.513.01July 201232.412.98August 201232.412.98September 201232.412.98October 201231.212.72November 201228.612.14December 201224.112.23January 201321.211.50February 201322.411.77March 201335.513.56April 201335.813.74 19 20. REGRESSION ANALYSISEffectSums of squaresMean squaresRegression4.9698444.969844Residual0.3757790.037578Total5.34562320 21. REGRESSION SUMMARY FOR DEPENDENT VARIABLER = 0.96421126, R2 = 0.92970335 Adjusted R2 = 0.92267369 N= 12BetaStd. Error of BetaBStd. error of BIntercept-----------------8.6620750.359844Ambient Temperatur e0.9642110.0838430.1355490.1178721 22. SUMMARY STATISTICS EFFICIENCY StatisticsValueMultiple R0.9642Multiple R20.9297Adjusted R20.9227Standard error of Estimate0.193922 23. REGRESSION DESCRIPTIVE STATISTICS VariableAmbient TemperatureEfficiencyAmbient Temperature1.0000000.964211Efficiency0.9642211.00000023 24. VARIATION OF MODULE EFFICIENCY WITH AMBIENT TEMPERATURE WITH 95 % CONFIDENCE LEVEL24 25. VARIATION OF MODULE EFFICIENCY WITH AMBIENT TEMPERATURE25 26. 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 ,26 27. RESULTS1.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. 27 28. 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 28 study. 29. 29

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