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Final reports of JIP COVRIN and OHEJP exercise (SimEx) and evaluation reports

The present deliverable describes synergies and collaboration with the CSA CASTIEL 2 (Grant No 101102047) and the other Centers of Excellence (CoE) complementary to ESiWACE3.&nbsp

This deliverable is the first version of the Data Management Plan of the project. It sets up the context of how the data will be managed during the four years. It includes the numerical data but most importantly in this project, the management of the software and the personal data. It will be revised at Month 24 (D7.2 - Update of data management plan) and Month 47 (D7.4 - Final update of data management plan).

This document details the actions carried out and planned to be conducted, goals, target audiences, and tools to communicate and disseminate the project services/results and engage with the potential ESiWACE3 community. It is the “Communication, Dissemination, and Exploitation Plan” (CDEP). The deliverable summarises the actions already performed and the mid‐term planned activities for the first 18 months of the project—1 January 2023 ‐ 30 June 2024—. This CDEP will be regularly updated with the periodic reports due in months 18, 36, and 48.

D10.5 “Final Report on Implementation Activities” describes the work towards making the RIs in the solid Earth subdomain FAIR in terms of FAIRness of the assets and EOSC-interoperability. In this deliverable we therefore describe for each WP10 task, the work done to address the gaps identified by Deliverable “D10.2 Roadmap for implementation of FAIR concepts”, prioritised and harmonised in D10.3 “D10.3 Report on coordination, prioritisation, and harmonisation in the Solid Earth Subdomain”.

The deliverable "D10.3 Report on Coordination, Prioritization, and Harmonisation in the Solid Earth Subdomain," primarily focuses on the strategic prioritization of activities aimed at enhancing the application of FAIR (Findability, Accessibility, Interoperability, and Reusability) principles across various Earth Science disciplines in WP10. This document provides an overview of the selected activities, explaining their prioritization based on the gap analysis and need for improvement in FAIRness. The report reflects upon the efforts of the European Plate Observing System community in embedding FAIR principles from the outset and further improving its commitment through these prioritized activities. Key initiatives include the harmonisation of metadata, implementation of Persistent Identifier systems, data and metadata lifecycle management, and the development of common vocabularies across multiple Earth Science domains. The success of these activities highlights the importance of strategic planning and prioritization in enhancing FAIRness and overall data management effectiveness in the ENVRI community.

D10.7 “Final Report on EPOS Policies and Governance for FAIR and EOSC” describes the work done towards ensuring that clear policies are in place with the governance to provide assurance. It builds on MS66 and D10.6. In this deliverable we therefore describe the EPOS policies and associated governance. It should be noted that a Policy Group continues within EPOS to review policies, provide policies when missing, propose appropriate governance and commission IT support. This group has also provided much input for WP4 including running workshops.

The Deliverable "D5.4 ENVRI Service Catalogue" presents the development, implementation, and operation of a comprehensive service catalogue within the context of the ENVRI-FAIR project. The deliverable outlines the creation of a FAIR compliant and EOSC-ready catalogue, primarily focusing on services providing access to data. The innovative design and implementation of the catalogue embrace the adoption of rich metadata standards for ingestion and storage, namely EPOS-DCAT-AP metadata profile and the CERIF model, facilitating the description of diverse services across different research infrastructures (RIs). The validation processes, including service validation at the subdomain level, FAIRness evaluation, and an implementation phase, ensure the robustness, accuracy, and FAIR compliance of the catalogue, promoting its interoperability with the EOSC catalogue. The deliverable further details the operation of the catalogue, which involves a harmonised effort among service providers, backend developers, and front-end developers. It underscores the ongoing endeavour to ingest more metadata records, provide support for metadata curation, and work towards semantic interoperability. Future work, as outlined in the deliverable, involves enhancing the catalogue's operation by improving metadata quality, enhancing semantic interoperability, and adapting to the diversity of service types from different RIs. The ENVRI Service Catalogue represents a pivotal step towards advancing FAIR practices in environmental research. Its development, implementation, and operation symbolise an ongoing commitment to continuous improvement, adaptation, and learning, with the ultimate goal of propelling environmental research towards new horizons of discovery and innovation. By aligning with the EOSC catalogue requirements, it envisions a broader, more integrated network of scientific resources, thus empowering global researchers. The ENVRI Service Catalogue, as the embodiment of the ENVRI-FAIR project's vision, promises to facilitate open, FAIR, and efficient access to services and data in the environmental research domain.

This deliverable focuses on capturing the current status of testing and validation of services from the RI’s and ENVRI-Hub itself, that are both exposed to EOSC. This means that services are in scope that are shared via the ENVRI Catalogue of Services to the EOSC marketplace. The EOSC validation activities will check the readiness of the ENVRI-FAIR services at the sub-domain and cluster level for uptake and integration into EOSC (e.g. is there a test plan, monitoring, ..) together with their possible integrability into the ENVRI service catalogue being developed in WP5.

This report presents a synthesis of the progress of FAIRness for the atmospheric subdomain in the project with links to relevant documents. Furthermore, the report provides a strategy for the future development of the atmospheric subdomain and common recommendations to consolidate the atmospheric subdomain contribution beyond the ENVRI-FAIR project.

This report presents the implementation of the FAIR principles across the atmospheric subdomain over the ENVRI-FAIR project period. The report starts with the introduction and background for the baseline for the FAIR implementation of the atmospheric subdomain. Subsequently, the progress, achievements, and status of FAIRness within the atmospheric subdomain is described in 2 levels. Section 2.1 documents the progress and FAIRness in accordance with the implementation plan, whereas section 2.2 reports a summary and assessment of the FAIR implementation Profile (FIP), including FAIR convergence within the atmospheric subdomain. A section comparing the atmospheric sub-domain with all the environmental domain is also included. The final section 3 gives a summary of the main achievements for the atmospheric subdomain and highlights what can be done now compared to the start of the work in 2019.

The report provides the scope of the sustainability for the data management of the Marine subdomain, for the research infrastructures themselves and with respect to their contributions to ENVRI-FAIR and EOSC. Recommendations to consolidate the sustainability of the Marine subdomain contribution to EOSC beyond the ENVRI-FAIR project and the RI services are proposed.

Managing and sharing data during a research project has clear advantages. It allows one to quickly find and understand the data when one needs to use it. It also gives continuity if project staff leave or new researchers join, and it avoids unnecessary duplication. A Data Management Plan (DMP) helps to save time and effort and makes the research and data-sharing process easier. By considering in advance what data will be created and how one can organize the necessary support concerning personal data and compliance with the General Data Protection Regulation (GDPR) and the UK General Data Protection Regulation (UK GDPR) legislations and protection of individual Intellectual Property Rights (IPR).

The goal of this document on conceptual grounds and common understandings is for project partners from different backgrounds to have the same understanding of guiding concepts and principles, which will help to communicate and cooperate effectively. In the document we addressed Different approaches and definitions of NBS Typology of NBS, Key concepts connected to NBS, The role and potential of NBS in agriculture, Different types of NBS in agriculture including agricultural production and agricultural landscapes. The paper summarises the state of the art in NBS and related fields, with the aim of facilitating the understanding between partners and contributing to specific objective interdisciplinary and transdisciplinary systemic research conducive to a transformative learning approach towards sustainable agricultural practices.&nbsp

This report presents the extended implementation of the FAIR principles by ICOS Atmosphere during the ENVRI-FAIR project.

The landscape of Research Infrastructures (RIs) in Europe is broad, and the landscape is also constantly evolving as new projects are starting, many of them aiming to become RIs in the long run. Despite the heterogenous nature of RIs, in Europe the ENVRI community gathers the Environmental Research Infrastructures, projects, networks and other diverse stakeholders together to discuss the RI matters from the environmental perspective. This deliverable provides a summary of the work done in the ENVRI-FAIR project task T2.2 ENVRI Community building and engagement. Firstly, the results of the mapping of the current Environmental Research Infrastructure landscape are summarised, and secondly the organised events for engaging and informing the community are described.

Marine subdomain EOV product version 2 is available publicly. The overarching goal of ENVRI-FAIR is that all participating research infrastructures (RIs) will improve their FAIRness and become ready for connection of their data repositories and services to the European Open Science Cloud (EOSC). Deliverable D9.1 has reported on the roadmap of the RIs in the marine subdomain towards improving their FAIRness. It presented the approach of using FAIR questionnaires (together with WP5) to identify the strengths and weaknesses of each RI and a first indicative set of activities to improve identified weaknesses or gaps. After formulation in Deliverable D9.2 of implementation plans for mitigating these gaps during the next phase of the ENVRI-FAIR project, the RIs from the marine subdomain have specified in Deliverable D9.3 the technical services and interfaces to be implemented at RI level and have undertaken the implementation. The RI vocabularies and erddap services were presented in Deliverable D9.4 and the operational list of FAIR services presented in Deliverable D9.5. The present Deliverable D9.8 is linked to Task 9.8 going from M24 to M48 and aiming to demonstrate the marine subdomain FAIRness. A first version of the ENVRI-FAIR Marine semantic Essential Ocean Variables (EOV) data broker was already presented in Deliverable D9.7, and this deliverable D9.8 presents the version 2 software, which includes new technologies for performance enhancement. This version 2 is now available on GitHub and preserved on Zenodo: • https://github.com/envri-fair/marine-eov-broker • https://doi.org/10.5281/zenodo.7871643

This document, Deliverable 3.1, presents the final analysis of the survey results. The survey results were analysed to perform a FAIRness evaluation of the data infrastructures that have been selected for the scope of the use cases and also to answer the question of feasibility of linking individual level data. This deliverable builds on Milestone 3.2, which presented the initial analysis of the results relating to the cancer use case, focusing only on the results received from the Finnish data infrastructures. D3.1 extends the analysis to include all the survey results. In relation to the cancer use case, the list of relevant data collections to survey was identified in collaboration with the cancer use case leaders and HealthyCloud partners from Belgium, Finland, Germany and Spain. The research question on cancer requires individual level data linkage from the health interview survey, health examination survey, cancer registry, genomic data collections and statistical registries for socioeconomic data. The research question on atrial fibrillation requires different types of data from patient registries in Europe, such as ECG, MRI, biomarkers, genomic and clinical data. The list of relevant data collections was identified in collaboration with the atrial fibrillation use case. We received 20 responses to the survey out of a total of 26 surveys sent. In this document we present the administrative information about each data infrastructure, information about the data they provide, such as the level of aggregation, whether it is anonymised or pseudonymised, about data quality aspects, coverage and standards used to structure the data and regarding the compliance with the FAIR principles.

OHEJP exercise SimEx

OHEJP exercise SimEx final report

This report presents the implementation of the FAIR principles by EISCAT_3D.

This report presents the implementation of the FAIR principles by ACTRIS Data Centre over the period January 2019 – February 2023.

This report presents the implementation of the FAIR principles by IAGOS.

This deliverable provides the “The FAIRness of SIOS” and refers to the status of the implementation in relation to the updated, 2nd version of the implementation plan from September 2021. This includes the implementation of services for meta data and data access including machine-to-machine interfaces within the ENVRI hub, and outside, utilising e.g., vocabulary and ontology specifications. It summarizes the FAIR implementation plan, the progress on FAIRness and the remaining tasks for SIOS. The main achievements are listed and an outlook on the next 5 years is given.

This document provides an overview of the management and administrative procedures of the ESiWACE3 Project in order to facilitate efficient project execution as well as high-quality project results. The document will provide the ESiWACE3 consortium with a concise reference to the project management structure, tasks, and responsibilities at all levels of project execution. It establishes the management bodies and responsibilities in order to ensure timely and correct production of the results and deliverables as well as the quality and risk management plan.

The report presents the portfolio of Atmospheric subdomain web-processing services which have been developed for the ENVRI-FAIR catalogue of services.

The Data Management Plan (DMP) contains information on the kind of data generated in the project, suggested policies, standards, and sustainability activities related to the created data services, including software solutions for the services. This is done in close collaboration with the work packages on FAIR Policies and common technical solutions, to ensure the management of knowledge in the project is maintained following the FAIR principles. The DMP covers data, documents and solutions created within the project (i.e., not the data provided by the RIs in their services, which is part of their service policies). It describes the data (including metadata) and software standards, availability, curation, and preservation methods, and is based on the Digital Curation Centre model for DMPs. The first update of the DMP details the tools and systems which are used to maintain personal data and digital assets generated in the project. The second update includes additional data types and corresponding tools for storage. In the final DMP another couple of data types and tools were added, especially the FIP Wizard for the generation of FAIR Implementation Profiles (FIPs).

The Data Management Plan (DMP) contains information on the kind of data generated in the project, suggested policies, standards, and sustainability activities related to the created data services, including software solutions for the services. This is done in close collaboration with the work packages on FAIR Policies and common technical solutions, to ensure the management of knowledge in the project is maintained following the FAIR principles. The DMP covers data, documents and solutions created within the project (i.e., not the data provided by the RIs in their services, which is part of their service policies). It describes the data (including metadata) and software standards, availability, curation, and preservation methods, and is based on the Digital Curation Centre model for DMPs. The first update of the DMP details the tools and systems which are used to maintain personal data and digital assets generated in the project. The second update includes additional data types and corresponding tools for storage. In the final DMP another couple of data types and tools were added, especially the FIP Wizard for the generation of FAIR Implementation Profiles (FIPs).

We summarize the current state of the ENVRI-FAIR approach to ICT consultancy for research infrastructure managers and developers, aimed at technology convergence across the community of environmental research infrastructures (ENVRIs) in order to ensure the production of FAIR (meta)data across the community. Of particular focus are the recent developments in FAIR assessment and showcasing how the advanced approach leads to improved insights into FAIR principle implementation in ENVRIs. Furthermore, we review the progress along the range of instruments for consultancy at our disposal and how we have been using them to support ENVRIs in implementing the FAIR principles.

Direct Current (DC) power transmission offers many benefits over Alternating Current (AC) andit is therefore making fast inroads in electrical energy systems all over the world. High voltagedirect current transmission High-voltage Direct Current (HVDC) offers efficient transmissionover long distances particularly when cables must be used, for instance for subsea links. DCis also used at low voltage, for instance for grids supplying the many servers in data centres.Also at medium voltage (>1500 V – 50 000 V) DC potentially offers significant advantages inmany applications. The power conversion chain can be simplified and power flow can be moreaccurately controlled. The HYPERRIDE project (HYbrid Provision of Energy based on Reliabilty and Resiliency viaIntegration of Dc Equipment) contributes to the field implementation of DC and hybrid AC/DCgrids. Starting with the definition of most relevant fields of application for DC grids (local microgrids, grid enforcement to overcome congestions, coupling of AC grid sections, etc.), theenabling technologies shall be specified in detail on different levels. One such enabling technology is Direct Current Circuit Breakers (DCCBs) for Medium-Voltage Direct Current (MVDC)grids. Even though MVDC DCCBs are available for DC railway systems e.g., MVDC distributiongrid applications have different requirements, mainly with respect to the speed of operation. Inrecent years different DCCB prototypes for grid applications for MV have been developed usingstate-of-the-art (mechanical) techniques but also novel solutions, such as the VSC-assistedresonant current (VARC) concept from the project partner SCiBreak AB. In this report, the most important grid parameters (e.g. grid configuration, converter topology,DC reactor size) impacting the requirements for DC circuit breakers are analysed by means ofsimplified circuit models. The results of grid simulation studies concerning the consequencesof short circuit scenarios for DCCBs in real a MVDC demonstrator grid as well as in a fictional 14 kV grid are also presented. A list of requirements for MVDC circuit breakers is put together in the report. Moreover, a review of HVDC standards and standards concerning DC railway applications that may be relevant for establishing MVDC standards in the future is given, with the indication of relevant technical brochures and normative documents that are likely to be published in the upcomingyears.

This report describes the steps for properly sizing and selecting, depending on expected performance, safety and operators training, the DC components that will be integrated in the Terni Pilot infrastructure. The demonstrator in Terni is aiming at achieving the HYPERRIDE objectives,demonstrating the benefits over the conventional Alternating Current (AC) grids. especially bythe integrating renewables in hybrid AC/DC grids. This is enabling the identification of solutions to overcome barriers for a successful roll-out of new infrastructure concepts throughoutEurope. The proposed configuration and list of components will be based on the targeted functional features of the Terni demonstrator, previously defined, and will be used for the system level modeling and simulation, in Task 4.2 “LVDC virtual microgrid model and simulation”, in WP4.

Analysing and predicting system performance and availability depends largely upon reliabilityand maintenance data. Attaining statistically credible data can require observations from several years of operations. Fortunately, this data collection process can be quickened if this datais shared within the community of organisations in the same working domain. The goal of this task is to develop an open reliability information system to provide a common platform for storing and sharing reliability information on components in the area of energymanagement. The work is accompanied by a prototyping activity that shall prove the conceptand create a foundation for gathering reliability information about selected key systems. Aspecial care is taken to ensure technical efficiency and meeting the legal and administrativeconstraints emerging from cooperation with industrial partners and regulatory bodies. The open reliability information systems focuses on industrial infrastructures in large scale facilities. The shared data will consist of system and subsystem reliability and maintenancestatistics, information on system structure and operation conditions as well as estimation ondata quality. The data will be used in quantitative reliability and availability assessments. Thestored data and intended use differ from traditional maintenance databases that are used forstoring individual equipment failure events. The development of an open reliability database started in the context of the Future Circular Collider - Cern (FCC) research project, where a platform for sharing reliability informationplayed a big role in the area of accelerator technology and this community did not have a platform yet. However, successful examples of this concept exist in oil, nuclear and wind powerindustries and this existing knowledge shall be used to benefit this project. This knowledgeincludes OREDA, EIReDA, SPARTA and WInD-Pool projects and ISO 6527, ISO 14224 andISO/TR 12489 standards.

The operation of a hybrid Alternating Current - Direct Current (AC/DC) grid relies on powerelectronic converters interfacing different sections of the grid. Each converter controls primarilyvoltage, current or transferred power. Together they achieve stable operation of the grid. Withinthis Work Package (WP) a layer based control approach for the converters in a hybrid grid has been proposed. As a reference system the HYPERRIDE demo site in Aachen was consideredsince the developed control algorithms are to beimplemented there. Furthermore, it is important that the system can be operated under no communication, with the converter level controlalone. With these specifications in mind, control algorithms for different converter topologies weredeveloped and implemented on hardware test setups.The existing GE 3L-NPC DAB and downscaled 3L-NPC AFE testbenches at the demo site in Aachen, together with the for their operation already developed converter control algorithms, served as basis for the contributions ofthis deliverable. Those contributions include: Dead-time compensation of Dual Active Bridge (DAB); Active thermal balancing of DAB; Hardware implementation and verification of Three Level Neutral Point Clamped (3L-NPC) DAB modulation; Hardware implementation and verification of Instantaneous Current Control (ICC) of DAB; Hardware implementation and verification of 3L-NPC Active Front End (AFE) control; Down-scaled two-level DAB testbench. The DAB topology is addressed because it couples Direct Current (DC) parts of the system andprovides galvanic isolation. Moreover, it can reach high efficiencies with the proposed control algorithms. Basic operation characteristics of the DAB are covered with Single Phase-Shift (SPS) mode. Different modes of operation are presented to allow interfacing of energy storage systems and other types of loads and sources to the grid while maintaining soft-switching operation. A dead-time compensation is proposed to mitigate the effects of dead-times on operationof the DAB. In order to balance the thermal stress on the devices of the DAB, a balancing strategy is implemented. The control algorithms were tested and verified on a down-scaledhardware setup. An advanced three level modulation scheme and ICC for dynamic operationof the DAB were implemented and tested on the full-scale GE 3L-NPC DAB converter which ispart of the demo site. The coupling of Alternating Current (AC) and DC parts of the grid is achieved with AFE converters. The required control algorithms for current, voltage and power control are reviewed. Theywere implemented on a down-scaled 3L-NPC converter. Additionally, the balancing control ofthe split DC link of the 3L-NPC was experimentally verified. An overview of the different proposed control layers is given. The features of each layer are discussed. Simulations were conducted to verify overall system stability under operation with converter level control since the HYPERRIDE demo site is currently under commissioning.

Over the years, the distribution grid has changed considerably. Today, the great production ofenergy by Renewable Energy Sources that produce fluctuating power into the distribution gridrequires a greater ability to manage the low voltage section of the grid, since energy producersand users are more and more connected to the low voltage grid. Today the role of the powergrid customer, whether producer, user, or prosumer, is central in the sustainable and reliablemanagement of a modern distribution grid. The HYPERRIDE project in the Italian pilot develops a hybrid Alternate Current(AC)/DirectCurrent (DC) distribution grid that matches the needs of AC and DC users/prosumers with theneeds of Distribution System Operator (DSO) to limit congestions at the nodes of the grid andpromote the local consumption of the energy self-produced. The achievement of this synergyis based on flexibility criteria provided by the grid customers. Flexibility in consumption andproduction by the customers increases the sustainability and resilience of the grid as a whole,with impact mainly on Low Voltage (LV) grid but with benefits also on Medium Voltage (MV)grid at an upper level of hierarchy in the power grid. The effect of local variations in the hybridAC/DC grid will be related to the effects on the entire grid, including the MV section. The selection of DC/DC and AC/DC converters, hybrid grid architecture, protections, monitoringand control systems is based on reliability and multi-operability requirements of all the systemsinvolved. The pilot performance evaluation will be related to the fixed objectives in order todetect the deviations from the expected results and if necessary implement corrective actionsand different settings in the equipment operating thresholds. The modern conventional gridis by nature a dynamic and adaptive system, the hybrid grid is even more so. The adaptivebehaviour of the AC/DC hybrid distribution grid is in compliance with the requirements of theexisting real AC distribution grid to improve the reliability of the whole system and thereforesupply better services to the grid customers. The pilot set-up and test specification sets theUse Cases requirements to achieve and evaluate the synergy between all systems involved inthe project.The impact of the new DC grid will be also evaluated in the real distribution gridoperation. The definition of the pilot setup and test specifications is the result of a close collaborationwith Work Package (WP) 2 and the identification of three use cases to test the integration requirements and validate them in a real distribution grid where coexist electric vehicle chargingsystems, Photovoltaic (PV) power plants, storage systems, critical loads and a DC system control infrastructure dedicated to the pilot. In addition, all required additional equipment includingsensors, AC controllers, Application Programming Interface (API) and other hardware modulesimplemented or existing in the pilot will be tested.

The aim of deliverableis to create the outline of the material that will support the use and decision-making of clinicians with regards to the AI-Mind tools. This report provides an overall set of information expanding from knowledge-base for the AI-Mind technology to user manuals and starter kits for the AI-Mind tools. The intention is to disseminate the scientific results produced by AI-Mind, as part of this informative set. The clinicians’ knowledge-base is built through educational material, which includes the AI-Mind educational programme, and a series of toolboxes that cover all disciplines relevant to the work of clinicians and other healthcare professionals. It also includes courses, webinars, interactive meetings, networks, as well as openly available reports and literature. The user manuals include detailed guidelines on the use of the developed AI-Mind tools. A preliminary outline of the manuals is presented here; the final version will be ready by the end of the project. The user starter kits are delivered as a two-step process: initially as a study starter kit, designed to cover the needs of the AI-Mind clinical study; this will be improved and evolve throughout the project, leading to the final user starter kit.

The purpose of the following Deliverable is to present the information material for scientists and public that has been produced and disseminated to partners, scientists and public from 30/10/2019 to 30/04/2021.

The present document provides an overview of the dissemination and training activities organised and/or undertaken by the NextFOOD consortium partners between1st May 2018 and 30th April 2020.

A dedicated catalogue of services is developed in the frame of ENVRI-FAIR to address ENVRI private sector clients/users by defining and implementing strategies for strengthening RI innovation-cooperation awareness and preparedness and promoting industry uptake of ENVRI services in compliance with FAIR standards. The data collection for the catalogue is based on a survey aiming at analysing the current state of the relation between ENVRI and private sector and draw recommendations for strengthening this cooperation.

This document D9.7 presents the publicly available “Marine subdomain EOV product version 1”. The overarching goal of ENVRI-FAIR is that all participating research infrastructures (RIs) will improve their FAIRness and become ready for connection of their data repositories and services to the European Open Science Cloud (EOSC). Deliverable 9.1 has reported on the roadmap of the RIs in the marine subdomain towards improving their FAIRness. It presented the approach of using FAIR questionnaires (together with WP5) to identify the strengths and weaknesses of each RI and a first indicative set of activities to improve identified weaknesses or gaps. After formulation in Deliverable D9.2 of implementation plans for mitigating these gaps during the next phase of the ENVRI-FAIR project, the RIs from the marine subdomain have specified in Deliverable D9.3 the technical services and interfaces to be implemented at RI level and have undertaken the implementation. The RI services will be demonstrated in D9.4 (M27) and will be operational for EOSC operations in D9.5 (M36). Deliverable D9.6 is linked to Task 9.8 going from M24 to M48 and aiming to demonstrate the marine subdomain FAIRness. D9.6 describes the technical specifications of the Marine EOV product Version 1 and Version 2 to run in 2022 and 2023.

Task 7.4 focuses on testing and validating resulting ENVRI-FAIR services at different levels, including individual RI, subdomain, cluster and EOSC. WP7 will support subdomains by testing and validating their specific service developments. Moreover, WP7 will test and validate the resulting ENVRI-FAIR services portfolio at the subdomain, cluster and EOSC level, following the validation guidelines as provided by WP5. In D7.7 the cluster validation activities have been specified and each will test real scientific use cases to check the quality and validate the applicability of (ENVRI-)FAIR services. The EOSC validation activities will test the readiness of the ENVRI-FAIR services at the sub-domain and cluster level for uptake and integration into EOSC together with their possible integrability into the ENVRI service catalogue being developed in WP5. As a result, the test and validation activities will provide feedback to the RI’s and subdomains as to the results of testing and validation and make recommendations to help steer development effectively throughout the project. Additionally, it will provide a report on validation results to WP5 (T5.4) for inclusion in synthesis analysis on the readiness of ENVRI-FAIR services for uptake in EOSC.

The overarching goal of ENVRI-FAIR is that all participating research infrastructures (RIs) improve their FAIRness and become ready for connection of their data repositories and services to the European Open Science Cloud (EOSC). Deliverable 9.1 has reported on the roadmap of the RIs in the marine subdomain towards improving their FAIRness. It presented the approach of using FAIR questionnaires (together with WP5) to identify the strengths and weaknesses of each RI and a first indicative set of activities foreseen to improve identified weaknesses or gaps. After formulation in Deliverable D9.2 of implementation plans for mitigating these gaps during the next phase of the ENVRI-FAIR project, the RIs from the marine subdomain have specified in Deliverable D9.3 the technical services and interfaces to be implemented at RI level and have undertaken the implementation. The RI services are demonstrated in this deliverable D9.4 (M27) and will be operational for EOSC operations in this D9.5 deliverable (M36).

The overarching goal of ENVRI-FAIR is that all participating research infrastructures (RIs) improve their FAIRness and become ready for connection of their data repositories and services to the European Open Science Cloud (EOSC). Deliverable 9.1 has reported on the roadmap of the RIs in the marine subdomain towards improving their FAIRness. It presented the approach of using FAIR questionnaires (together with WP5) to identify the strengths and weaknesses of each RI and a first indicative set of activities foreseen to improve identified weaknesses or gaps. After formulation in Deliverable D9.2 of implementation plans for mitigating these gaps during the next phase of the ENVRI-FAIR project, the RIs from the marine subdomain have specified in Deliverable D9.3 the technical services and interfaces to be implemented at RI level and have undertaken the implementation. The RI services are demonstrated in this deliverable D9.4 (M27) and will be operational for EOSC operations in this D9.5 deliverable (M36).

ICT plays a crucial role in a smart grid: Digital technology allows to monitor and manage thetransport of electricity from all generation sources to meet the different electricity demands ofend users. A central logic allows to coordinate the needs and capacities of all generators,network operators, end users and stakeholders in the electricity market in order to: optimise the use and operation of resources; minimise costs and environmental impacts; maximise the reliability, stability, and resilience of the network. Another potential approach for the sensing and control of power distribution systems could bea decentralised logic. From the ICT perspective, decentralised logic’s are interesting in view oftheir better scalability and better control on privacy. Measurement sensors, actuators, automation devices, information technology and communication equipment permit to exchange information and to send command, control, and automationsignals from the digital management system, which represent the intelligence of the network,to the physical equipment of the infrastructure electric. The control and actuation signals sent to the physical devices of the network are no longer responding to the centralised and unidirectional logic of traditional systems only, but they are the result of advanced managementlogic’s that are managing the flows of energy and power in real time, determining the values of“optimal” setups for distributed generation and load resources (Valenti & Graditi, 2020). The HYPERRIDE project aims to design and implement an Open ICT Platform enabling: the seamless integration and management of devices, regardless of how smart they are; scalable and interoperable collection and management of data that support near real timeobservability andoptimisation of the operation of modular and resilient hybrid AlternatingCurrent (AC)/ Direct Current (DC) grids; the transmission of commands/setpoints for the safe and reliable operation of the grid; detection, prediction, prevention of technical and cyber-contingencies. This document reports the results of the activities conducted in HYPERRIDE aiming at theelicitation and analysis of functional and non-functional requirements of the Open ICT Platformand high-level design of the platform architecture in terms of static and dynamic behaviour ofthe system.This document is based on the outcomes of Deliverable D2.2 “Use case description,specification and implementation roadmap report”. Moreover, a questionnaire including generaland customised questions has been submitted to Work Package (WP) leaders and to pilotleaders to collect expectations from the Open ICT platform in terms of functionalities, standards,data model, constraints, special technologies/tools needed, data necessary for the businessprocesses. A high-level description is given for each logical module that make up the architecture. Maininformation exchanges between architectural modules are described. Review and retrospectiveactivities will be conducted to reflect on the iterations of requirements engineering reported inthis document in the attempt to improve the process going forward and taking into account the needs that will emerge in the other WPs. New and refined requirements that will emerge inthe next phases of the project will be reported in the accompanying report of Deliverable D5.6.Low level details on architectural components and their interdependencies, on processes, andinstructions for the deployment and use will be provided in the accompanying report of Deliverables D5.6 and D5.8. Furthermore, the document gives a short description of the energy services that will be evolved in HYPERRIDE according to the needs of hybrid AC/DC grids. This document will be used as a starting point for the integration activities foreseen in lateron in the project that are summarised in Deliverable D5.6 Open HYPERRIDE ICT platform(preliminary version) and following D5.8 Open HYPERRIDE ICT platform (final version).

Deliverable D3.7 of the HYPERRIDE project is a demonstration and laboratory testing of a 5kV DC circuit breaker prototype. This report records the work done in order to achieve thisgoal. The requirements on the prototype’s current interruption capabilities are outlined in anothertask of the HYPERRIDE project and are dependent on the grid to be protected, i.e., the MediumVoltage Direct Current (MVDC) grid of RWTH Aachen. A circuit breaker based on the Voltage source converter Assisted Resonant Current (VARC)principle has been designed to meet these requirements. The VARC breaking process uses anactive current injection method where a Voltage Source Converter (VSC) excites the resonantbranch of the circuit breaker to produce a resonant current through the main interrupter of thebreaker. The resonant current counters the line current and the net current flowing through themain interrupter momentarily becomes zero. The current to be interrupted is commutated intoan energy absorbing branch of the circuit breaker where the magnetic energy stored in the protected line is dissipated. This branch also clamps the voltage across the main interrupter. This report documents the circuit breaker prototype setup and the relevant current interruptiontests. Relevant details (such as largest interrupted current, breaker operation time and faultcurrent suppression time) are also discussed. It is concluded that a functioning circuit breaker prototype suitable for protecting the AachenMVDC grid has been designed, built and tested by SCiBreak.

This report provides insight in the planned enabling solutions to be developed within HYPERRIDE project. The infrastructure requirements, demonstration site descriptions and definition ofKey Performance Indicators (KPI) outlined here have to be read in context with the connecteddeliverables D2.2 and D2.3. Based on the availability of Direct Current (DC) based renewable energy resources and powerelectronics converters it is a possible development to evolve from currently used AlternatingCurrent (AC) technologies to DC grid systems. Some of the benefits are: improved grid resiliency decreased cost and increased energy efficiency on system level facilitated integration of renewable energy sources and DC based loads increased transmission capacity reduced voltage fluctuations reduced control and synchronisation effort environmental benefits Throughout the last decade, DC systems have been demonstrated for various use cases andrising number of pilot installations all over the world. In the report a description of the most no table installations can be found. A majority of theses demonstrators have been establishedin Asia. With the analysis of these instalments was possible to identify potential gaps fornew infrastructures from interoperability demands in Information and Communications Technology (ICT) solutions, means of failure mitigation and prevention, mechanisms of safety suchas breakers etc. The solutions in HYPERRIDE as described in D2.3 will be demonstrated inthe pilot sites in Germany, Switzerland and Italy as described in the report. To provide a toolbox for the analysis of the individual infrastructures a set of KPIs have beendefined based on the methodology to evolve from available AC definitions proven to be beneficial and adapt those, if applicable, to DC grid infrastructures. In case a gap has been identifiednew definitions are proposed.

For the implementation of the DC microgrid part of the Italian demonstration in particular a LowVoltage Alternating Current (LVAC) to Direct Current (DC) Active Front End (AFE) is required.Therefore, within HYPERRIDE a bidirectional 34.5 kVA Alternating Current and Direct Current(ACDC) power electronics converter unit from AIT has been used as a basis to implementcontrol algorithms to serve as an AFE and to supply DC microgrids from LVAC power lines.The bidirectional topology enables further to provide power flow towards the DC grid as well asto remove excess generation when a surplus of energy is available. The developed droop control uses the voltage of the Point of Common Coupling (PCC) asa parameter to control the delivered power. Within the respective task, the control algorithmhas been defined, tested and validated in a Controller Hardware-in-the-loop (C-HIL) environment. In a subsequent step, the unit has been set up as real hardware to test the control algorithm.Successful tests were carried out in the AIT laboratory premises and results are reported inthis document.

The role of distributed energy resources is increasing significantly in electrical power systems due to many environmental, economical, and political drivers. This transition has also put the electrical distribution grid in a central role. The challenges arising from this transition are largely being addressed under Smart Grid (SG) initiatives. Although there is no standard definition, in general, a smart grid refers to a method of incorporating intelligence into the operation of distribution grids to increase flexibility and performance. For electrical power systems, Alternating Current (AC) distribution grids are a well-known infrastructure that has been in use for a long time. This infrastructure can be assisted by Direct Current (DC) technologies as a possible backbone to increase, for example, Renewable Energy Sources (RES) hosting capability; however, they must be designed on a solid basis to allow for rapid roll-out and integration. It is critical to provide and test suitable methodologies and resources to lower entry barriers for early adoption processes to maximise the implementation capability of new DC technologies. The HYPERRIDE project aims to support this transition toward the transformation in the electrical grid infrastructure by laying the groundwork for widespread adoption of DC technology. The future distribution grid both at the Low Voltage Direct Current (LVDC) component to Medium Voltage Direct Current (MVDC) backbone is planned to be demonstrated at three pilot sites(Germany, Italy, and Switzerland) implementing relevant use cases. These pilots will provide valuable insights as well as help in identifying the gaps in knowledge and possible solutions for the various focus areas. The use cases to be used for the implementation are documented in this deliverable along with the standards and background, the methodology and the analysis. To perform a systematic analysis to discover the use cases that would be interesting to implement and cover the goals of the project, a well-thought-over methodology is needed. This methodology should be based on the well-known standard and reference architectures tomake the communication and dissemination among the consortium and beyond be made easy and effective. A methodology is derived based on National Institute of Standards and Technology (NIST) and SGAM to identify first the context and boundaries and defining the use cases. With the help of partners, several workshops are conducted to collect the inputs. These inputs provided the basis for the analysis that later resulted in the form of the summary use cases. These summary use cases are then debated in the workshops and, based on the aim of the pilot, are adopted for the development of the detailed use uses. The detailed use cases are then documented using International Electrotechnical Commission (IEC) "Use Case Methodology"method using IEC 62559-2 templates. The background, methodology and analysis, and the summary use cases are described in detail in this report while the adopted and detailed use cases for individual pilot sites implementations are included in the three appendices of the document.

This deliverable provides an overview of the developed FAIR training materials, including a description of how these have been integrated into the Common Training Platform. Considering the relevant role assumed by the WP6 within the project, all the aspects behind the design, the development and the implementation and population of both the training catalogue and the training platform are presented. A special focus is reserved to the metadata set adopted for the learning resources, that is often representing a mature and successful case study in several projects/initiatives.

The overarching goal of ENVRI-FAIR is for all participating RIs to improve their FAIRness and prepare the connection of their data repositories and services to the European Open Science Cloud (EOSC). With the development of FAIR implementations from the participating RIs and integrated services among the environmental subdomains, these data and services will be brought together at a higher level (for the entire cluster), providing more efficient services for researchers and policymakers. This deliverable reports the efforts WP7 contributed to the development of common FAIRness goals. The objective of this task is to provide co-development support driven by an implementation plan that identified by each subdomain, joint use cases among RIs or subdomains, and other needs identified during the project.

This report summarises the reasons of the necessity of performing arc fault tests and arc fault calculations for new hybrid AC&DC-grid concepts which are targeted in HYPERRIDE. It gives an overview about the normative references and describes the workflow of doing arc fault calculations and how to validate them with arc fault experiments. It describes the starting point for the physical model building which is necessary for both, the room average method and the Finite Element Method (FEM). The FEM-method use Computational Fluid Dynamics (CFD)and solves the Navier Stokes equations. First experimental results and a FEM calculation are discussed. A new enclosure is presented, which will be used in task T3.4 for performing systematic AC&DC arc fault experiments. The complicated physics of arcing requires a strong interaction of theory and experiments. Therefore a work flow for doing arc fault simulations in combination with arc fault experiments has been worked out.