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Koubli et al. - 2015 - Replenishing Deficient Datasets in PV System Monitoring.pdf (295.16 kB)

Replenishing deficient datasets in PV system monitoring

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conference contribution
posted on 2016-03-18, 16:29 authored by Elena Koumpli, Diane Palmer, Paul Rowley, Ralph Gottschalg
This paper presents a method to generate missing performance data based on interpolated environmental data and is evaluated by using real performance data from a reference system. Global horizontal irradiance and temperature data are obtained from meteorological stations across the country and then interpolated to the nearest point from the location of the PV system, applying the Kriging technique. The validity of the method is examined using real measurements of in-plane irradiance, ambient and module temperature and power output of a known and well-monitored system. Module temperature is calculated using a thermal model and power output is calculated using a mathematical model as a function of in-plane irradiance and module temperature. The measurements are provided from CREST Outdoor Monitoring System (COMS).

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Research Unit

  • Centre for Renewable Energy Systems Technology (CREST)

Published in

11th Photovoltaic Science Application and Technology (PVSAT-11)

Citation

KOUBLI, E. ... et al., 2015. Replenishing deficient datasets in PV system monitoring. IN: Hutchins, M. and Cole, A. (eds). 11th Photovoltaic Science, Applications and Technology Conference C97: PVSAT-11, University of Leeds, Leeds, UK, 15th-17th April 2015.

Publisher

© Solar Energy Society

Version

  • AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2015

ISBN

0904963810

Language

  • en

Location

Leeds, UK

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