Next Article in Journal
Placement of Combined Heat, Power and Hydrogen Production Fuel Cell Power Plants in a Distribution Network
Previous Article in Journal
Electrical Circuit Flashover Model of Polluted Insulators under AC Voltage Based on the Arc Root Voltage Gradient Criterion
Article Menu

Export Article

Open AccessArticle
Energies 2012, 5(3), 770-789;

Analysis and Prediction of Energy Production in Concentrating Photovoltaic (CPV) Installations

Department of Electromechanical Engineering, University of Burgos, Burgos 09006, Spain
Department of Electrical and Computer Engineering, University of Delaware, Newark, DE 19716, USA
School of Photovoltaic and Renewable Energy Engineering, University of New South Wales, Sydney 2052, Australia
Author to whom correspondence should be addressed.
Received: 23 January 2012 / Revised: 29 February 2012 / Accepted: 12 March 2012 / Published: 16 March 2012
Full-Text   |   PDF [1644 KB, uploaded 17 March 2015]   |  


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. View Full-Text
Keywords: concentrating photovoltaics; CPV; energy production; prediction; analysis concentrating photovoltaics; CPV; energy production; prediction; analysis

Figure 1

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Share & Cite This Article

MDPI and ACS Style

Gómez-Gil, F.J.; Wang, X.; Barnett, A. Analysis and Prediction of Energy Production in Concentrating Photovoltaic (CPV) Installations. Energies 2012, 5, 770-789.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top