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Title: Inference of missing data in photovoltaic monitoring datasets
Authors: Koubli, Eleni
Palmer, Diane
Rowley, Paul
Gottschalg, Ralph
Issue Date: 2016
Publisher: © The Authors. Published by Institution of Engineering and Technology (IET)
Citation: KOUBLI, E. ...et al., 2016. Inference of missing data in photovoltaic monitoring datasets. IET Renewable Power Generation, 10(4), pp.434-439.
Abstract: Photovoltaic (PV) systems are frequently covered by performance guarantees, which are often based on attaining a certain performance ratio (PR). Climatic and electrical data are collected on site to verify that these guarantees are met or that the systems are working well. However, in-field data acquisition commonly suffers from data loss, sometimes for prolonged periods of time, making this assessment impossible or at the very best introducing significant uncertainties. This study presents a method to mitigate this issue based on back-filling missing data. Typical cases of data loss are considered and a method to infer this is presented and validated. Synthetic performance data is generated based on interpolated environmental data and a trained empirical electrical model. A case study is subsequently used to validate the method. Accuracy of the approach is examined by creating artificial data loss in two closely monitored PV modules. A missing month of energy readings has been replenished, reproducing PR with an average daily and monthly mean bias error of about −1 and −0.02%, respectively, for a crystalline silicon module. The PR is a key property which is required for the warranty verification, and the proposed method yields reliable results in order to achieve this.
Description: This is an Open Access Article. It is published by IET publishing under the Creative Commons Attribution 3.0 Unported Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/3.0/
Sponsor: This work has been conducted as part of the research project ‘PV2025 - Potential Costs and Benefits of Photovoltaic for UK Infrastructure and Society’ project which is funded by the RCUK’s Energy Programme (contract no: EP/K02227X/1).
Version: Published
DOI: 10.1049/iet-rpg.2015.0355
URI: https://dspace.lboro.ac.uk/2134/20351
Publisher Link: http://dx.doi.org/10.1049/iet-rpg.2015.0355
ISSN: 1752-1424
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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