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BIPV GROUP

UAE University. BIPV GROUP. Electrical Engineering Department. Graduation Project II. Final Presentation. GP Advisor Dr. Ali Assi. Ibrahim Rashid Al Shehhi 200215778 Khalid Nasser Al Kathairi 200305666 Mohammed Abdi Jama 200337930

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BIPV GROUP

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  1. UAE University BIPV GROUP Electrical Engineering Department Graduation Project II Final Presentation GP Advisor Dr. Ali Assi Ibrahim Rashid Al Shehhi 200215778 Khalid Nasser Al Kathairi 200305666 Mohammed AbdiJama 200337930 SinaFattahiServestani 200337938

  2. Outline • Introduction • PV in UAE • Parameters affecting the efficiency of PV systems • TMY • Solar radiation • PV modules database • PV generator • Inverter selection • The Matlab-based BIPV Software • Conclusion

  3. Introduction • UAE has been witnessing an exceptional economical revolution in all vital sectors. • Photovoltaic systems implementations are on the rise worldwide. • A computer modeling tool was developed to predict PV system power generation in the UAE using MATLAB. • Many reasons were the driving force for us to research, study and analyze BIPV systems.

  4. PV in The UAE • PV market in the UAE is still amateur. • Pioneer steps have been taken by UAE leaders to turn the country to a global centre for future energy: • Abu Dhabi’s $15 billion future energy initiative (Masdar) • World future energy summit (WFES)

  5. Project MotivationUAE Power & Environmental Challenges • Electricity demand in UAE has been rapidly increasing in recent years due to population & economical growth. • By 2015, the installed power capacity is estimated to be around 14 GW investments of $10 billion. • UAE has one of the highest per capita CO2 emission rates in the world. • High CO2 emissions lead to: • Warmer and drier climate. • More frequent heat waves and natural disasters (i.e. floods).

  6. Parameters Affecting The Efficiency of PV Systems in UAE • Solar radiation: • Geographical location. • Orientation. • Array tilt angle. • Shading: • The PV generator would deliver its best performance if the sun light hits the panels homogenously. • Temperature: • The temperature influences the efficiency of PV by approximately -0.4%/ K.

  7. Parameters Affecting The Efficiency of PV Systems • Soiling: • which is accumulation of dust and dirt may reduce the available PV generator output. • Weather conditions. • Source of dust. • PV array tilt angle. • Other factors: • For example (wiring losses, component efficiencies, etc).

  8. TMY: • Collection of selected weather data for a specific location, generated from a data bank much longer than a year in duration. • TMY data is frequently used in building simulation and solar systems design. • Weather data was obtained from National Center of Meteorology & seismology. • Global radiation on horizontal • Temperature • Sun hour • Wind speed • Humidity • 3-year TMY data was created using Al-Ain weather data. Typical Meteorological Year Typical Meteorological Year

  9. Typical Meteorological Year Annual global radiation in Al Ain = 2250 kWh/m2Average daily solar radiation = 6.180 kWh/m2

  10. Distribution of Solar Radiation Source: METEONORM software by Meteotest

  11. Types of Radiation Direct Diffuse Albedo Global Radiation = Direct + Diffuse + Albedo

  12. Angle Definition PV generator orientation (α : azimuth angle) Best orientation in the UAE is South (α = 0°)

  13. Effect of Inclination Angle on Global Radiation β=0° β= 20°

  14. Effect of Inclination Angle on Global Radiation β=60° β= 90°

  15. Global Radiation vs. Inclination Angle

  16. Optimum Inclination Angle Optimum inclination angle in Al Ain, UAE

  17. PV Modules Database

  18. PV Generator Electrical Behavior • To do the power analysis of the PV generator, the following steps were followed: • Determination of the characteristic parameters of the cells that make up the PV generator under STC. • Determination of the temperature of the cells under the operating conditions being considered. • Determination of the characteristic parameters of the cells under the operating conditions being considered. • Determination of the characteristic parameters of the PV generator.

  19. Grid-Tied Inverter Selection Array Configuration Outputs Pmax – Vmax – Vmin - Imax • Comparing to DC ratings of the inverter • Maximum Power • Maximum Voltage • Minimum Voltage • Maximum Current Inverter is selected

  20. Case Study Input parameters to MATLAB tool

  21. Effect of The Irradiance & Temperature on The PV Generator • First - order effects: • Irradiance effect on ISC(positive impact). • Temperature effect on VOC( negative impact). • Second - order effects: • Irradiance effect on VOC(logarithmic increase). • Temperature effect on ISC(very slight effect!).

  22. Cell Temperature vs. Isc

  23. Cell Temperature vs. Voc

  24. Annual Maximum DC Power Output of PV Generator

  25. PV System AC Output

  26. Result Summary

  27. The MATLAB-based BIPV Software

  28. Conclusion • In this paper we have proposed a new comprehensive Matlab-based BIPV software. • This software will be used in UAE to study feasibility of BIPVs in different areas of the country. • Many BIPV related data can be computed using this software. • The process of studying various areas in UAE using this software will be launched in January 2009.

  29. Thank You For Listening

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