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Muñoz Cano, Javier and Perpiñan Lamigueiro, Oscar ORCID: https://orcid.org/0000-0002-4134-7196
(2016).
A simple model for the prediction of yearly energy yields for grid-connected PV systems starting from monthly meteorological data.
"Renewable Energy", v. 97
;
pp. 680-688.
ISSN 0960-1481.
https://doi.org/10.1016/j.renene.2016.06.023.
Title: | A simple model for the prediction of yearly energy yields for grid-connected PV systems starting from monthly meteorological data |
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Author/s: |
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Item Type: | Article |
Título de Revista/Publicación: | Renewable Energy |
Date: | November 2016 |
ISSN: | 0960-1481 |
Volume: | 97 |
Subjects: | |
Freetext Keywords: | Photovoltaic systems; Grid-connection; Simulation |
Faculty: | E.T.S.I. Diseño Industrial (UPM) |
Department: | Ingeniería Eléctrica, Electrónica Automática y Física Aplicada |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
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This paper presents a simple model, called Clear-cloudy sky, which estimates yearly energy yields for PV systems starting from the twelve monthly values of global horizontal solar irradiation, diffuse fraction, Linke turbidity and minimum and maximum ambient temperatures. The proposed model has been included in an online and free-software simulator of PV systems, called SISIFO, which has been used to analyse the performance of the model in comparison with other synthetic models using as reference the typical meteorological years (TMY3) of more than two hundred Class I stations belonging to the NREL American National Solar Radiation database. The results of this comparison show that the model provides yearly predictions on PV system performance parameters that have low bias and uncertainty with respect to the same figures obtained with the original TMY3 hourly time series.
Item ID: | 47895 |
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DC Identifier: | https://oa.upm.es/47895/ |
OAI Identifier: | oai:oa.upm.es:47895 |
DOI: | 10.1016/j.renene.2016.06.023 |
Official URL: | http://www.sciencedirect.com/science/article/pii/S... |
Deposited by: | Memoria Investigacion |
Deposited on: | 29 Sep 2017 07:25 |
Last Modified: | 30 Nov 2018 23:30 |