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Performance Evaluation of 1.1 MW Grid-Connected Solar Photovoltaic Power Plant in Louisiana

Deepak Jain Veerendra Kumar, Lelia Deville, Kenneth Ritter, Johnathan Richard Raush, Farzad Ferdowsi, Raju Gottumukkala, Terrence L. Chambers

2022Energies45 citationsDOIOpen Access PDF

Abstract

In this work, performance analysis and comparison of three photovoltaic technologies are carried out in the Louisiana climate. During the calendar year of 2018, the University of Louisiana at Lafayette constructed and commissioned a 1.1 MW solar photovoltaic power plant for researching solar power in southern Louisiana and for partial energy demand of the university. It was one of the largest solar photovoltaic power plants in Louisiana when constructed and receives an annual solar insolation of 4.88 kWh/m2/d at latitude minus five degrees (25°) tilt. The solar power plant has a total of 4142 modules and incorporates three module technologies. Preliminary performance data from the system level are presented. The evaluation of different technologies is based on final yield, performance ratio, and capacity factor for one year from September 2019 to August 2020. An economic analysis is carried out using levelized cost of energy for the three photovoltaic (PV) technologies. Finally, the results are compared with simulated results of System Advisor Model (SAM) and PVsyst. It was found that copper indium gallium selenide (CIGS) has better performance ratio of 0.79 compared with monocrystalline silicon and polycrystalline silicon, which have performance ratios of 0.77 and 0.73, respectively. The simulation results correlated with the actual performance of the plant.

Topics & Concepts

Photovoltaic systemMonocrystalline siliconEnvironmental scienceSolar energyCost of electricity by sourceEngineeringPower stationMeteorologyElectrical engineeringElectricity generationPower (physics)SiliconGeographyMaterials sciencePhysicsOptoelectronicsQuantum mechanicsPhotovoltaic System Optimization TechniquesPhotovoltaic Systems and Sustainabilitysolar cell performance optimization
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