On behalf of the ROBINSON H2020 Consortium, ETN is pleased to invite you to the last training module entitled “Exploring Data Integrity Measures and the Blockchain Technology”.
The virtual event will take place on Wednesday, 11 December from 11:00 to 12:00 (CET).
This workshop will cover the topic of Data Integrity Measures with Blockchain Technology within the ROBINSON project. More in detail, the tutorial will explore how blockchain ensures data integrity and availability within the Energy Management System (EMS), enabling secure, traceable data across various configurations on the project’s sites, providing a robust foundation for future security enhancements as the system progresses toward production.
The training module will be delivered by Óscar Ansótegui Adarve, Blockchain and Cybersecurity Researcher at FUNDITEC. Óscar Ansótegui Adarve is a Biomedical Engineer from the Polytechnic University of Madrid, specialized in data engineering and digital health. He is currently a cybersecurity researcher at Funditec, responsible for defining, designing, and developing blockchain and DLT solutions for R&D projects across various sectors. His experience also includes implementing blockchain networks for health sector projects in collaboration with the Polytechnic University of Madrid.
Registrations to this event are free, but mandatory. To register, please follow the link at the top right of this page.
About ROBINSON project
ROBINSON’s main mission is to develop an integrated energy system to help decarbonise islands with industrial activities. The system, which will be demonstrated on the island of Eigerøy, Norway, couples locally available energy sources, electrical and thermal networks and innovative storage technologies, using hydrogen as energy carrier. In order to achieve the target, innovative technologies will be developed, integrated on the island and managed by a novel EMS that will include non-electrical resources such as biomass gasification, wastewater valorisation and industrial symbiosis. More information on ROBINSON is available on the project website.
The ROBINSON project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 957752
