DAEKIN is a Type I ELKARTEK project, funded by the Basque Government's 2020 call.
Project funded by the Basque Government's Department for Economic Development, Sustainability and the Environment (ELKARTEK Programme).
To define the architecture of a secure and reliable data sharing platform for the energy sector based on three main architectures: "Datalake" architectures, IDSA ecosystem and distributed processing architectures, such as Edge Computing, Blockchain and Federated Machine Learning (FML) techniques.
LEARN MORE ABOUT DAEKIN'S WORK PACKAGES AND HOW WORK IS STRUCTURED ALONG THE PROJECT.
PROJECT LEADER
El proyecto está liderado por el centro tecnológico TECNALIA, que además coordinará las actividades en torno al enfoque IDS en cuanto a la compartición del dato con soberanía, y a la aplicabilidad de los distintos enfoques en el caso de uso offshore. Otro de los centros tecnológicos, IKERLAN, estará a cargo tanto de los requisitos y el diseño de la arquitectura de regencia como del enfoque Datalake. TEKNIKER, el tercer y último centro tecnológico, lidera la tarea relacionada con el Edge Computing.
En cuanto a las unidades de I+D empresariales hay que destacar las dos participantes en el proyecto: HISPAVISTA LABS y GLUAL INNOVA. Esta última es líder del PT responsable del análisis de modelos de compartición y entornos de colaboración. Completa el consorcio la ASOCIACIÓN CLUSTER DE ENERGIA como agente de intermediación oferta/demanda. Este será el responsable de las actividades de comunicación y difusión de DAEKIN.
This Work Package conducts a general analysis on the implications of sharing and data teamworking in business models, defining no specific domains.
New forms of data collaboration and business models are analysed.
It is focussed on a case study.
OFFSHORE WIND POWER
The methods put into place are analysed.
Work Package 2 will establish the design of an architecture which will make it possible to define the bases for research into data sharing with no loss of sovereignty, and concept testing for a series of development empowerment tools. The aim of this work package is to provide the basis architecture for WP3, WP4 and WP5, and gather the results obtained in a final architecture.
Takes on the requirements for the models analysed in WP1.
The range of currently proposed design focuses, approaches and patterns are analysed:
Indicators and risks are established, to be monitored and measured during the implementation of the architecture, providing a verification methodology.
Work Package 3 aims to analyse the storage needs of data and metadata, both at infrastructure level and at data auditing and governance level. The aim of this work package is to design and develop a model to govern data and metadata obtained from a range of sources throughout their entire lifespan.
It will also help to control dataset versions in order to construct incremental analytical data, and foster knowledge extraction by means of machine learning techniques based on metadata.
DATALAKE APPROACH
Work Package 4 seeks to analyse assisted data sharing by means of use policies, forestalling against sovereignty loss.
Data sharing policies are defined.
A solution capable of controlling data use for the defined policies is designed.
The characteristics and limitations of the IDS architecture are studied.
A methodology is defined to allow for integration and validation of IDS components defined in advance, checking that they comply with the defined design and requirements.
The end result is adapting the architecture proposed by IDS, improving it to cover the requirements specified in WP2, and giving it a much more detailed design than currently supported by the original.
A reference design of the IDS architecture based on concept tests on the basic components and studying its suitability for the offshore use case.
Work Package 5 will analyse two possibilities for enabling data from the Edge environment towards the outside: distributed and federated focus. On the one hand, in the distributed approach, this will allow for the validation of a secure, reliable data exchange demo, and, on the other, in the federated approach, the implementation of FML and Blockchain techniques.
The aim is to analyse the characteristics and limits of the Edge environment and the scope of IDS approaches with regard to connectors. Based on the findings, it will seek to implement and validate data exchange using an IDS connector on the Edge. Finally, a data sovereignty solution will be implemented and validated, to guarantee secure, reliable data sharing.
The aim is to analyse and ascertain the viability of implementing FML, Blockchain and cryptographic techniques in use cases where data sharing is not viable but agents wish to work together to obtain greater insight, without compromising their respective data.
Edge computing is a paradigm of distributed computing that transmits computing and data storage to where they are needed, improving response times and saving bandwidth.
Data sharing in Edge environments involves challenges around integrating data from different sources and sharing them with other agents to create new business models.
Work Package 6 is a cross-cutting package where the developments from the previous work packages are put towards defining the reference architecture for a specific use case in offshore wind power.
The ultimate goal is to use the platform as a data sharing environment among businesses along the offshore wind power value chain, becoming a benchmark at European level with the capacity to integrate into the GAIA-X single data space being promoted by the European Commission.
The WP goes in greater depth into the previous analysis of the requirements of offshore wind power, undertaking a more detailed study.
The requirements are integrated with the technologies developed by WP2, WP3, WP4 and WP5.
A design document is developed, specifying the components required for the specific reference architecture to be implemented in a REAL PLATFORM.
OFFSHORE WIND POWER DATA DIGITAL PLATFORM
The main aim of Work Package 7 is to define and roll out the strategy for communicating the developments and outcomes of the project, maximising its visibility with regard to identified stakeholders and driving the transfer of the knowledge and technologies developed towards energy value chain businesses.
coordinator
In order to boost the dissemination of the developments made in the DAEKIN project at European level and to attract and involve leading European companies in data sharing, DAEKIN partners maintain a permanent interaction with IDSA (International Data Spaces Association). Specifically, throughout 2020 Tecnalia and ACE have participated in weekly meetings of the IDSA “Launching Coalition”, reporting progress both in technical aspects (drafting of the Rule Book) and in the definition of business models. As a first concrete result of this collaboration, Tecnalia has been recognized by IDSA as "IDS Competence Centre".
Furthermore, in May 2021, Tecnalia, ACE and SPRI have participated in the Workshop "Acceleration Program, offshore data sharing Basque Energy Cluster alignment" together with the representatives of IDSA and INNOPAY (a consultancy firm specialized in digital transactions), to report on the scene for the current situation in offshore windfarm data sharing and to establish the next steps to take.
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