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| Content Provider | IET Digital Library |
|---|---|
| Author | Koubli, Eleni Palmer, Diane Rowley, Paul Gottschalg, Ralph |
| 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. |
| Starting Page | 434 |
| Ending Page | 439 |
| Page Count | 6 |
| ISSN | 17521416 |
| Volume Number | 10 |
| e-ISSN | 17521424 |
| Issue Number | Issue 4, Apr (2016) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-rpg/10/4 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-rpg.2015.0355 |
| Journal | IET Renewable Power Generation |
| Publisher | The Institution of Engineering and Technology |
| Publisher Date | 2016-04-01 |
| Access Restriction | Open |
| Rights License | Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) |
| Subject Keyword | Back-filling Missing Data Inference Closely Monitored PV Module Crystalline Silicon Module Reliability Data Acquisition Data Acquisition System Data Loss Elemental Semiconductor Energy Readings In-field Data Acquisition Photovoltaic Monitoring Datasets Power Generation Reliability Power System Measurement Power System Measurement And Metering Reliability Silicon Solar Cell And Array Warranty Verification |
| Content Type | Text |
| Resource Type | Article |
| Subject | Renewable Energy, Sustainability and the Environment |
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