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Model for estimating the energy yield of a high concentrator photovoltaic system

Author:
Fernández, Eduardo F., Pérez-Higueras, P., Almonacid, F., Ruiz-Arias, J.A., Rodrigo, P., Fernandez, J.I., Luque-Heredia, I.
Source:
Energy 2015 v.87 pp. 77-85
ISSN:
0360-5442
Subject:
energy, markets, models, prediction, solar collectors, temperature, Spain
Abstract:
The prediction of the energy yield of HCPV (high concentrator photovoltaic) systems is crucial to evaluate the potential and promote the market expansion of HCPV technology. Currently, there is a lack of experience in the modelling of these kinds of systems due to the special features of such technology. In this work, a practical model based on simple mathematical expressions and atmospheric parameters is introduced. The proposed model takes into account the main important parameters which influence the output of a HCPV system such as cell temperature, spectrum and efficiency of the inverter and other losses of the BOS (balance of system). The results obtained are validated using the data of a HCPV installation located at the University of Jaen in southern Spain and monitored daily every minute since 2011. The model accurately predicts the monthly energy yield with a deviation ranging from 4.07% to −0.47% and the annual final energy yield with a deviation of 0.9%.
Agid:
6036544