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Título : Analysis and Prediction of Energy Production in Concentrating Photovoltaic (CPV) Installations
Autor : Gómez Gil, Francisco Javier
Xiaoting, Wang
Barnett, Allen
Publicado en: Energies, 2012, V. 5, n. 3, p. 770-789
Editorial : MDPI
Fecha de publicación : mar-2012
ISSN : 1996-1073
DOI: 10.3390/en5030770
Resumen : A method for the prediction of Energy Production (EP) in Concentrating Photovoltaic (CPV) installations is examined in this study. It presents a new method that predicts EP by using Global Horizontal Irradiation (GHI) and the Photovoltaic Geographical Information System (PVGIS) database, instead of Direct Normal Irradiation (DNI) data, which are rarely recorded at most locations. EP at four Spanish CPV installations is analyzed: two are based on silicon solar cells and the other two on multi-junction III-V solar cells. The real EP is compared with the predicted EP. Two methods for EP prediction are presented. In the first preliminary method, a monthly Performance Ratio (PR) is used as an arbitrary constant value (75%) and an estimation of the DNI. The DNI estimation is obtained from GHI measurements and the PVGIS database. In the second method, a lineal model is proposed for the first time in this paper to obtain the predicted EP from the estimated DNI. This lineal model is the regression line that correlates the real monthly EP and the estimated DNI in 2009. This new method implies that the monthly PR is variable. Using the new method, the difference between the predicted and the real EP values is less than 2% for the annual EP and is in the range of 5.6%–16.1% for the monthly EP. The method that uses the variable monthly PR allows the prediction of the EP with reasonable accuracy. It is therefore possible to predict the CPV EP for any location, using only widely available GHI data and the PVGIS database.
Palabras clave: concentrating photovoltaics
CPV
energy production
prediction
analysis
Materia: Ingeniería mecánica
Mechanical engineering
Licencia: http://creativecommons.org/licenses/by/3.0/
URI : http://hdl.handle.net/10259/4374
Versión del editor: http://dx.doi.org/10.3390/en5030770
Aparece en las colecciones: Artículos iAM

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