Automated Fixing Cost Estimation of Photovoltaic System Failures for the Creation of a Decision Support System-Reference-Cited by-同舟云学术

Automated Fixing Cost Estimation of Photovoltaic System Failures for the Creation of a Decision Support System

Published:2023-10-22 Issue:23 Volume:7 Page:
ISSN:2367-198X
Container-title:Solar RRL
language:en
Short-container-title:Solar RRL

Author:

Gallmetzer Sandra¹^ORCID,Lindig Sascha¹^ORCID,Herz Magnus²,Moser David¹^ORCID

Affiliation:

1. Eurac Research Institute for Renewable Energy Viale Druso 1 39100 Bolzano Italy

2. Solar Department TÜV Rheinland Am Grauen Stein 51105 Cologne Germany

Abstract

The increasing focus on sustainability connected to extended lifetimes with guaranteed high energy yields in the photovoltaic (PV) sector brings new challenges in operating and maintaining PV systems. Additionally, as the PV Terawatt Age has been reached in 2022 and a sustained exponential PV deployment growth is expected, operation and maintenance (O&M) companies have an ever‐increasing portfolio of PV plants to operate while maintaining cost competitive. Therefore, a shift from manual fault detection and solution toward smart and automated alternatives is required to keep downtime due to faults at a minimum while ensuring that PV systems can operate safely and efficiently. This work extends past developments of an automated O&M decision support system (DSS) by focusing on the automation of selecting and prioritizing solutions in case of PV system event/failure appearance. Thereby, the TRUST‐PV Solution Matrix is added to the published TRUST‐PV Risk Matrix, providing a standardized list of solutions for all events and failures which can appear in a PV system. Furthermore, the Cost Priority Number, a prioritization methodology to assess technical failures and their economic impact in energy systems, is improved by integrating automated fixing cost calculations into the DSS.

Funder

Horizon 2020 Framework Programme

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/solr.202300562

Reference36 articles.

1. IRENA Tech. Rep.International Renewable Energy Agency Abu Dhabi2023.

2. IRENA Tech. Rep.International Renewable Energy Agency Abu Dhabi2022.

3. PVEurope 2020 https://www.pveurope.eu/solar-modules/10-trends-smart-pv2025(accessed: May 2023).

4. A.Ara A.Lee A.Sacco A.Rahmati A.Finch B.Jäckel C.Fergus C.Voet C.Peonides D.Moser D.Ioushoua E.Teo E.Tilly F.Stüwe G.Hilti I.Tsanakas J. G.Jensen J.Brajkovic J.Althaus N.Mutch P. V. d.Stock R.Gottschalg R.Chervier R.Lowry R.Andrews R.Taylor T.Lebreuilly T.Moeller V.Giorgio W.Hitchcock et al. Report.Solar Power Europe December2021 https://www.solarpowereurope.org/insights/thematic-reports/o-and-m-best-practice-guidelines-version-5-0.

5. National Renewable Energy Laboratory Sandia National Laboratory SunSpec Alliance the SunShot National Laboratory Multiyear Partnership (SuNLaMP) PV O&M Best Practices Working Group Tech. Rep.NREL Denver2018 https://www.nrel.gov/docs/fy19osti/73822.pdf.