Energy Prediction of Amonix CPV Solar Power Plants
Autor: | Geoffrey S. Kinsey, Kenneth W. Stone, Vahan Garboushian, Joseph Brown |
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Jazyk: | angličtina |
Rok vydání: | 2010 |
Předmět: |
Schedule
Renewable Energy Sustainability and the Environment business.industry Photovoltaic system Advanced Photovoltaics: New Concepts and Ultra-high Efficiency Electrical engineering Spectral response Condensed Matter Physics Grid parity Electronic Optical and Magnetic Materials Reliability engineering Environmental science Electrical and Electronic Engineering Terrestrial Concentrator Systems business Cost of electricity by source Energy (signal processing) Solar power |
DOI: | 10.4229/25theupvsec2010-1ap.1.4 |
Popis: | 25th European Photovoltaic Solar Energy Conference and Exhibition / 5th World Conference on Photovoltaic Energy Conversion, 6-10 September 2010, Valencia, Spain; 15-17 Amonix CPV Solar Power Plants currently demonstrate AC efficiency of over 25% in the field. A model has been developed that predicts system performance based on the spectral response of the III-V multijunction cell corrected for environmental and atmospheric conditions. Historical meteorological data is used to predict future performance at target locations. With the cleaning schedule as the only adjustable variable, energy production has been within 1% of prediction after twelve months of continuous operation. The model is used to improve performance, which is expected to increase by 10% in 2010. These improvements, combined with cost reductions in the MegaModule® design, put the Amonix CPV systems on track to achieve a levelized cost of electricity below US$100/MW-hr. |
Databáze: | OpenAIRE |
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