A simple model for the prediction of yearly energy yields for grid-connected PV systems starting from monthly meteorological data

Muñoz Cano, Javier and Perpiñan Lamigueiro, Oscar (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.

Description

Title: A simple model for the prediction of yearly energy yields for grid-connected PV systems starting from monthly meteorological data
Author/s:
  • Muñoz Cano, Javier
  • Perpiñan Lamigueiro, Oscar
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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Abstract

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.

Funding Projects

TypeCodeAcronymLeaderTitle
FP7308468PVCROPSUNIVERSIDAD POLITECNICA DE MADRIDPhotoVoltaic Cost reduction, Reliability, Operational performance, Prediction and Simulation

More information

Item ID: 47895
DC Identifier: http://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/S0960148116305444
Deposited by: Memoria Investigacion
Deposited on: 29 Sep 2017 07:25
Last Modified: 30 Nov 2018 23:30
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