Towards the development of an optimized Decision Support System for the PV industry: A comprehensive statistical and economical assessment of over 35,000 O&M tickets-Reference-Cited by-同舟云学术

Towards the development of an optimized Decision Support System for the PV industry: A comprehensive statistical and economical assessment of over 35,000 O&M tickets

Published:2022-10-18 Issue: Volume: Page:
ISSN:1062-7995
Container-title:Progress in Photovoltaics: Research and Applications
language:en
Short-container-title:Progress in Photovoltaics

Author:

Lindig Sascha¹^ORCID,Gallmetzer Sandra¹^ORCID,Herz Magnus²,Louwen Atse¹^ORCID,Koumpli Elena³^ORCID,Sebastian Enriquez Paez Pablo⁴^ORCID,Moser David¹^ORCID

Affiliation:

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

2. TÜV Rheinland, Am Grauen Stein Cologne 51105 Germany

3. Statkraft, UK Ltd 22 Bishopsgate London UK

4. BayWa r.e. Operation Services S.r.l. Via di Settebagni 390 Roma 00139 Italy

Funder

Horizon 2020 Framework Programme

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Condensed Matter Physics,Renewable Energy, Sustainability and the Environment,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/pip.3637

Reference43 articles.

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2. PhilippsS WarmuthW.Photovoltaics Report Freiburg Fraunhofer ISE;2022en.

3. KostC ShammugamS FluriV PeperD DavoodiA SchleglT.Levelized cost of electricity‐ renewable energy technologies Fraunhofer ISE;2021.

4. Oviedo HernándezG LindigS MoserD ChiantorePV.Optimization of the Cost Priority Number (CPN) methodology to the needs of a large O&M operator. In: 36th EUPVSEC Proceedings;2019:1613‐1617.

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