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Increase Friendly Integration of Reliable PV plants considering different market segments

Deliverables

Report on progressive revamping and repowering of utility-scale PV plants

Linked to T441Report on the development of an automated categorization and clustering of modules and inverters based on actual power classes and efficiency for progressive revampingrepowering

Plan for the Management of Project related CO2 v1

Plan for the Management of Project related CO2 (Draft M6)

Plan for the Management of Project related CO2 final

Plan for the Management of Project related CO2 final version

Building Information Model (BIM) requirements and design for the operational phase

Linked to T3.4 Report on the definition and requirements (must-have and nice-to-have) of the BIM model for the use during the operational phase of a PV plant

Automated PV digital twin based yield simulation framework

Link to T21Report about the development of a scalable ie utility and residential modelling framework for automated and highly accurate creation of PV digital twins

State of the art on application and climate-tailored testing and results of proposed laboratory tests

Linked with T2.4Report on energy rating to find a standardised approach to validate product nameplate and simulation input file.

Wireless Sensor Networks using Narrowband IoT and 5G technology as input for a good predictive smart monitoring service

Linked to T35Report about the use of Wireless Sensor Networks to overcome PV plant data communication issues and as enabler of big data analytics techniques

Guidelines for design, procurement and O&M friendly concepts for floating PV systems

Linked to ST24The deliverable will report on the challenges related to floating PV in terms of design procurement at component level and the development of OM friendly concepts

Report on serial number aerial scanning

Linked to T431Report on the use of UAV to develop a methodology to scan and record the serial number barcode of PV modules

Report on module level monitoring for progressive revamping and repowering

Linked to T45Report on the use of IoT sensors for module level monitoring

Context-sensitive PV plant component benchmarking based on monitoring data

Linked to T31Report on the analysis of different contextual parameters eg microclimate and environment different assets composed of different components from different manufactures in different configurations etc influencing the distribution of performance KPIs using big data analytics

Report on the large database for failure rates calculation, mitigation measures and failure rate reduction based on CPN methodology including grid

Linked to T47Report about the improvement of the CPN methodology to be integrated with the Decision Support System developed in WP6

Report on repair/re-use and in-source recycling of PV modules and BOS components

Linked to T442Report on work on targeted onsite inspections characterization measurements to cluster fielded modules and define repairreuse and recycling strategies

Forecasting for advanced operational stability

Linked to T52Report on the results from the various time horizon forecasting techniques from short term to day ahead

Knowledge based system based on field experience

Report about the integration of a Knowledge Based KB system into ANTARES to be used to compare the results of the Decision Support System with the operational experience coming from the field

Project logo, project templates and website on-line

Linked to T9.9 Project visual identity will be ready by M3

Integration of the Digital Twin and TRUST-PV data with ANTARES

Linked to T61 and T62Demonstration of the successful link of ANTARES with BIM platform and with digital data provided by other partners databases

Publications

Individual yield nowcasting for residential PV systems

Author(s): Daniel Grzebyk; Alba Alcañiz; Jaap C.B. Donker; Miro Zeman; Hesan Ziar; Olindo Isabella
Published in: Solar Energy, 251, Issue Volume 251, February 2023, Pages 325-336, 2023, ISSN 1471-1257
Publisher: Elsevier
DOI: 10.1016/j.solener.2023.01.036

Effect of Climate on Photovoltaic Yield Prediction Using Machine Learning Models.

Author(s): Olindo Isabella; Hesan Ziar; Alba Alcañiz Moya; Anders V. Lindfors; Miro Zeman
Published in: Global challenges, 7(1):2200166, Issue 15, 2023, ISSN 2056-6646
Publisher: Wiley
DOI: 10.1002/gch2.202200166

Trends and innovations in photovoltaic operations and maintenance

Author(s): G Oviedo Hernandez, D M Godinho Ariolli, P S Enriquez Paez and P V Chiantore
Published in: Progress in Energy, Volume 4, Number 4, 2023, ISSN 2516-1083
Publisher: IOP Science
DOI: 10.1088/2516-1083/ac7c4f

Identify, analyse and mitigate—Quantification of technical risks in PV power systems

Author(s): Magnus Herz; Gabi Friesen; Ulrike Jahn; Marc Koentges; Sascha Lindig; David Moser
Published in: Progress in Photovoltaics, Issue 5, 2022, ISSN 1099-159X
Publisher: Wiley
DOI: 10.1002/pip.3633

Best practices for photovoltaic performance loss rate calculations

Author(s): Sascha Lindig, Marios Theristis and David Moser
Published in: Progress in Energy, Issue Volume 4, Number 2, 2022, ISSN 2516-1083
Publisher: IOP
DOI: 10.1088/2516-1083/ac655f

Photovoltaic system monitoring and fault detection using peer systems

Author(s): Alba Alcañiz, Maitheli M. Nikam, Yitzi Snow, Olindo Isabella, Hesan Ziar
Published in: Progress in Photovoltaics, 2022, ISSN 1099-159X
Publisher: Wiley
DOI: 10.1002/pip.3558

Evaluating the effects of photovoltaic module heating during electroluminescence inspection

Author(s): Lukas Koester, Emanuel Vallarella, Atse Louwen, Sascha Lindig and David Moser
Published in: EPJ Photovoltaics, Issue 14, 14 (2023), 2023, ISSN 2105-0716
Publisher: edp sciences
DOI: 10.1051/epjpv/2023002

Review of photovoltaic module degradation, field inspection techniques and techno-economic assessment

Author(s): L. Koester; S. Lindig; A. Louwen; A. Astigarraga; G. Manzolini; D. Moser
Published in: Renewable and Sustainable energy Reviews, Issue Volume 165, September 2022, 112616, 2022, ISSN 1879-0690
Publisher: Elsevier
DOI: 10.1016/j.rser.2022.112616

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

Author(s): Sascha Lindig; Sandra Gallmetzer; Magnus Herz; Atse Louwen; Elena Koumpli; Pablo Sebastian Enriquez Paez; David Moser
Published in: Progress in Photovoltaics, 2022, ISSN 1099-159X
Publisher: Wiley
DOI: 10.1002/pip.3637

Trends and gaps in photovoltaic power forecasting with machine learning

Author(s): Alba Alcaniz, Daniel Grzebyk, Hesan Ziar, Olindo Isabella
Published in: Volume 9, December 2023, Pages 447-471, 2023, ISSN 2352-4847
Publisher: Elsevier
DOI: 10.1016/j.egyr.2022.11.208

Ancillary Services via Flexible Photovoltaic/Wind Systems and “Implicit” Storage to Balance Demand and Supply

Author(s): Marco Pierro, Mario Barba, Richard Perez, Marc Perez, David Moser, Cristina Cornaro
Published in: Volume7, Issue8, 2022, ISSN 2367-198X
Publisher: Wiley
DOI: 10.1002/solr.202200704

Introducing a comprehensive physics-based modelling framework for tandem and other PV systems

Author(s): M.R. Vogt, C. Ruiz Tobon , A. Alcaniz , P. Procel , Y. Blom , A. Nour El Din , T. Stark , Z. Wang , E. Garcia Goma , J.G. Etxebarria , H. Ziar , M. Zeman , R. Santbergen , O. Isabella
Published in: Volume 247, 15 October 2022, 111944, 2022, ISSN 1879-3398
Publisher: Elsevier
DOI: 10.1016/j.solmat.2022.111944

OrcaFlex Modelling of a Multi-Body Floating Solar Island Subjected to Waves

Author(s): Maria Ikhennicheu,Arthur Blanc,Benoat Danglade and Jean-Christophe Gilloteaux
Published in: Energies, Issue Volume 15, Issue 23, Pages 1-17, 2022, Page(s) 1-17, ISSN 1996-1073
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/en15239260

Performance Imputation Techniques for Assessing Costs of Technical Failures in PV Systems

Author(s): Sascha Lindig, Atse Louwen, M Herz, J Ascencio-Vásquez, David Moser and M Topic
Published in: 38th European Photovoltaic Solar Energy Conference and Exhibition, 2021, Page(s) 979-988
Publisher: WIP
DOI: 10.4229/eupvsec20212021-5co.9.4

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