Periodic Reporting for period 2 - TRUST-PV (Increase Friendly Integration of Reliable PV plants considering different market segments)
Berichtszeitraum: 2022-03-01 bis 2023-08-31
TRUST-PV will demonstrate increase in performance and reliability of PV components and PV systems in large portfolios of distributed and/or utility scale PV. The TRUST-PV results will be tested and demonstrated from fab to field and all data gathered along the value chain will flow into a decision support system platform with enhanced decision-making using AI. The innovation at component level in TRUST-PV will be driven by the needs of stakeholders operating in a later stage of a PV project, i.e. Asset managers, EPC and O&M operators. TRUST-PV PV modules will thus become O&M friendly and inverter will enable rapid and cost-effective field inspection.
WP2 focuses on preventive mitigation measures for a more accurate PV plant design and higher quality procurement. WP2 has reported so far on the "Automated PV digital twin-based yield simulation framework”, on "Retrofit ARC", on "Utility-scale integrated yield/reliability modelling framework", on "Integrated yield/reliability modelling framework for residential PV plants" and on "Guidelines for design, procurement and O&M friendly concepts for floating PV systems". For the accurate yield assessment for utility scale PV, improvements of the physics-based models and demonstration of their applications in a scenarios-based approach were carried out. For residential PV, partners developed version of an algorithm for determining shading tolerability for any mono-facial PV module based on datasheet information.
WP3 focuses on data driven mitigation measures in advanced PV plant monitoring. WP3 has published work on "Big data analytics for smart monitoring towards predictive maintenance in utility-scale PV systems" and "Peer to peer (P2P) optimization methodology for medium size commercial-residential PV systems". PV performance analytics from 10,000 PV plants were done in conjunction with WP2. In peer-to-peer (P2P) monitoring for fault detection in residential or medium commercial systems, energy generation is predicted based on peer systems, avoiding the need for a digital twin, weather data, or performance simulation.
WP4 focuses on Data driven mitigation measures in advanced PV field inspection. WP4 submitted various deliverables on "aerial EL/PL imaging techniques for PV modules", "aerial UV/UV-F imaging techniques for PV modules", "serial number aerial scanning", "Anti-Reflective Coating degradation assessment", "Report on progressive revamping and repowering of utility-scale PV plants", "repair/re-use and in-source recycling of PV modules and BOS components", "module level monitoring for progressive revamping and repowering", "augmented reality solutions for on-site interventions and permanent advanced field supervision", and "large database for failure rates calculation, mitigation measures and failure rate reduction based on CPN methodology". This period was mainly focused on setting up the experimental PV plant consisting of bi-facial HJT PV modules produced by EGP, mounted on E-W tracking systems, and connected with the electroluminescence (EL)- and photoluminesce (PL)-ready HUAWEI inverter prototype. Informative and analytical reports and technical manuals focusing on the re-use of PV components were developed. BAYWA and RAPTECH continued testing activities of retrofit module monitoring sensors in a real/operational environment. SAIDEA, together with BAYWA and EURAC, have implemented the use of in field robotics for PV module inspections. The TRUST PV Risk Matrix has been published online and the CPN methodology has been further refined to be applied to individual operation & maintenance tickets. In this task, more than 250,000 O&M tickets have been aligned to the TRUST PV Risk Matrix.
WP5 focuses on improved operational stability and interoperability at the point of connection for PV grid friendliness. WP5 have reported so far on "PV high-penetration scenarios in the distribution grid", "Forecasting for advanced operational stability, "Digitalised active PV-grid architecture data models", "Advanced Power Plant Controller for ancillary services", "Definition of advanced services and interoperability scenarios", "Operational stability and ancillary services in distributed (virtual) PV plants", "Fully Flexible and interoperable PV plants". PV penetration extracted from the optimization of energy scenarios has been converted to PV power penetration and consequently has been compared with the hosting capacity (HC) results for three reference distribution grids. Four subtasks were set up to investigate the use of several forecasting approaches at these different time horizons. An extensive series of simulations were performed of Renewable Energy Communities (RECs). Several scenarios of a Residential VPP were simulated to compare different strategies of peer-to-peer and peer-to-grid energy sharing. Finally, the overview of a modular and scalable VPP cloud platform architecture is presented. The detection of grid instability was studied together with mitigation possibilities using inverters under tight coordination from a power plant controller. Research has also been carried out on the role of fast data retrieval for purposes of both troubleshooting in case of weak grids.
WP6- a lot of work has been done regarding the establishment of the Digital Twin concept. Various features of the Antares platform were developed with an highlight on the Decision Support System which will be demonstrated in WP7.
WP3 focuses on data driven mitigation measures in advanced PV plant monitoring. WP3 has published work on "Big data analytics for smart monitoring towards predictive maintenance in utility-scale PV systems" and "Peer to peer (P2P) optimization methodology for medium size commercial-residential PV systems". PV performance analytics from 10,000 PV plants were done in conjunction with WP2. In peer-to-peer (P2P) monitoring for fault detection in residential or medium commercial systems, energy generation is predicted based on peer systems, avoiding the need for a digital twin, weather data, or performance simulation.
WP4 focuses on Data driven mitigation measures in advanced PV field inspection. WP4 submitted various deliverables on "aerial EL/PL imaging techniques for PV modules", "aerial UV/UV-F imaging techniques for PV modules", "serial number aerial scanning", "Anti-Reflective Coating degradation assessment", "Report on progressive revamping and repowering of utility-scale PV plants", "repair/re-use and in-source recycling of PV modules and BOS components", "module level monitoring for progressive revamping and repowering", "augmented reality solutions for on-site interventions and permanent advanced field supervision", and "large database for failure rates calculation, mitigation measures and failure rate reduction based on CPN methodology". This period was mainly focused on setting up the experimental PV plant consisting of bi-facial HJT PV modules produced by EGP, mounted on E-W tracking systems, and connected with the electroluminescence (EL)- and photoluminesce (PL)-ready HUAWEI inverter prototype. Informative and analytical reports and technical manuals focusing on the re-use of PV components were developed. BAYWA and RAPTECH continued testing activities of retrofit module monitoring sensors in a real/operational environment. SAIDEA, together with BAYWA and EURAC, have implemented the use of in field robotics for PV module inspections. The TRUST PV Risk Matrix has been published online and the CPN methodology has been further refined to be applied to individual operation & maintenance tickets. In this task, more than 250,000 O&M tickets have been aligned to the TRUST PV Risk Matrix.
WP5 focuses on improved operational stability and interoperability at the point of connection for PV grid friendliness. WP5 have reported so far on "PV high-penetration scenarios in the distribution grid", "Forecasting for advanced operational stability, "Digitalised active PV-grid architecture data models", "Advanced Power Plant Controller for ancillary services", "Definition of advanced services and interoperability scenarios", "Operational stability and ancillary services in distributed (virtual) PV plants", "Fully Flexible and interoperable PV plants". PV penetration extracted from the optimization of energy scenarios has been converted to PV power penetration and consequently has been compared with the hosting capacity (HC) results for three reference distribution grids. Four subtasks were set up to investigate the use of several forecasting approaches at these different time horizons. An extensive series of simulations were performed of Renewable Energy Communities (RECs). Several scenarios of a Residential VPP were simulated to compare different strategies of peer-to-peer and peer-to-grid energy sharing. Finally, the overview of a modular and scalable VPP cloud platform architecture is presented. The detection of grid instability was studied together with mitigation possibilities using inverters under tight coordination from a power plant controller. Research has also been carried out on the role of fast data retrieval for purposes of both troubleshooting in case of weak grids.
WP6- a lot of work has been done regarding the establishment of the Digital Twin concept. Various features of the Antares platform were developed with an highlight on the Decision Support System which will be demonstrated in WP7.
R1a - Aftermarket coating on ARC degraded modules: demonstrated
R1b - O&M friendly PV modules: N/A
R1b_1 - Sustainable, durable, high-performance transparent backheets: delayed to material compatibility issues.
R1c - Inverters enabling field inspection: IPR discussed. Successfully demonstrated in the field
R1d - Innovative PV modules passive cooling: reported in deliverables
R1e - PPC enabling grid friendliness: reported in deliverables and to be demonstrated in the field
R2 - Extended lab testing beyond standards: N/A
R3 - Context-sensitive PV Plant components benchmarking dataset: compiled benchmarking database
R3_1 - Big data analytics for smart monitoring: reported in a confidential deliverable
R4 - More accurate energy yield prediction in utility scale PV: deliverable
R4_1 - More accurate energy yield prediction in distributed PV systems: deliverable
R5 - Progressive repowering: reported in a deliverable
R6 - BIM / 3D for improved skills of O&M operators: investigated different methods of replicating real PV assets
R7 - Wireless Sensor Networks using Narrowband IoT and 5G technology for on-site sensors: demonstrated in the field
R8 - Automated fault diagnostic based on combined Image analysis and electrical signatures: IPR restricted
R8_1 - Development of serial number reading feature using UAVs: IPR restricted
R8_2 - Assess the performance and degradation of AR coating: IPR restricted
R9 - Large database for failure rates calculation: 250,000 tickets of >100 PV plants have been collected
R9_1 - Strategies for O&M cost-yield optimisation: N/A
R10 – Decision support system platform: included in the Antares platform and to be demonstrated at large scale
R11 - Fully flexible and interoperable PV plants solutions: to be demonstrated
R11_1 – Increase observability and performance of distributed PV: demonstrated with peer to peer performance check
R12 - Use of forecasting for advanced diagnostic and grid dispatch: reported in a deliverable
R13_1 - Development of “Digital Twin” of PV plants: N/A
R1b - O&M friendly PV modules: N/A
R1b_1 - Sustainable, durable, high-performance transparent backheets: delayed to material compatibility issues.
R1c - Inverters enabling field inspection: IPR discussed. Successfully demonstrated in the field
R1d - Innovative PV modules passive cooling: reported in deliverables
R1e - PPC enabling grid friendliness: reported in deliverables and to be demonstrated in the field
R2 - Extended lab testing beyond standards: N/A
R3 - Context-sensitive PV Plant components benchmarking dataset: compiled benchmarking database
R3_1 - Big data analytics for smart monitoring: reported in a confidential deliverable
R4 - More accurate energy yield prediction in utility scale PV: deliverable
R4_1 - More accurate energy yield prediction in distributed PV systems: deliverable
R5 - Progressive repowering: reported in a deliverable
R6 - BIM / 3D for improved skills of O&M operators: investigated different methods of replicating real PV assets
R7 - Wireless Sensor Networks using Narrowband IoT and 5G technology for on-site sensors: demonstrated in the field
R8 - Automated fault diagnostic based on combined Image analysis and electrical signatures: IPR restricted
R8_1 - Development of serial number reading feature using UAVs: IPR restricted
R8_2 - Assess the performance and degradation of AR coating: IPR restricted
R9 - Large database for failure rates calculation: 250,000 tickets of >100 PV plants have been collected
R9_1 - Strategies for O&M cost-yield optimisation: N/A
R10 – Decision support system platform: included in the Antares platform and to be demonstrated at large scale
R11 - Fully flexible and interoperable PV plants solutions: to be demonstrated
R11_1 – Increase observability and performance of distributed PV: demonstrated with peer to peer performance check
R12 - Use of forecasting for advanced diagnostic and grid dispatch: reported in a deliverable
R13_1 - Development of “Digital Twin” of PV plants: N/A