Statistical modeling, parameter estimation and measurement planning for PV degradation

Yang, D., Liu, L., Rodríguez-Gallegos, C. D., Ye, Z. and Lim, L. H. I. (2016) Statistical modeling, parameter estimation and measurement planning for PV degradation. In: Carter, J. G. (ed.) Solar Panels: Progress, Applications and Performance. Series: Energy science, engineering and technology. Nova Science Publishers, Inc.: Hauppauge, NY. ISBN 9781536104080

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Abstract

Photovoltaics (PV) degradation is a key consideration during PV performance evaluation. Accurately predicting power delivery over the course of lifetime of PV is vital to manufacturers and system owners. With many systems exceeding 20 years of operation worldwide, degradation rates have been reported abundantly in the recent years. PV degradation is a complex function of a variety of factors, including but not limited to climate, manufacturer, technology and installation skill. As a result, it is difficult to determine degradation rate by analytical modeling; it has to be measured. As one set of degradation measurements based on a single sample cannot represent the population nor be used to estimate the true degradation of a particular PV technology, repeated measures through multiple samples are essential. In this chapter, linear mixed effects model (LMM) is introduced to analyze longitudinal degradation data. The framework herein introduced aims to address three issues: 1) how to model the difference in degradation observed in PV modules/systems of a same technology that are installed at a shared location; 2) how to estimate the degradation rate and quantiles based on the data; and 3) how to effectively and efficiently plan degradation measurements.

Item Type:Book Sections
Status:Published
Glasgow Author(s) Enlighten ID:Lim, Dr Li Hong Idris
Authors: Yang, D., Liu, L., Rodríguez-Gallegos, C. D., Ye, Z., and Lim, L. H. I.
College/School:College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
Publisher:Nova Science Publishers, Inc.
ISBN:9781536104080
Copyright Holders:Copyright © 2016 Nova Science Publishers, Inc.
First Published:First published in Solar Panels: Progress, Applications and Performance 2016
Publisher Policy:Reproduced in accordance with the publisher copyright policy

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