Blog: The challenges to foster clean energy transition, resilience and energy security in Europe
The challenging topics of balancing decarbonisation goals while increasing renewable production and facing challenges of fundamental energy supply shifts set a tone of the opening session of the Business models track on 20 June at IoT Week 2022 in Dublin. The five speakers addressed myriad of angles and reflected, analysed and envisioned possible solutions.
The session titled “The challenges to foster clean energy transition, resilience and energy security in Europe“ challenged speakers and attendees to adopt system approach, while reflecting on the ongoing research and innovation related to interoperability and enabling architectures.
The logical question related to Business models in energy evolved around reflection on impact and promise of scaling up system wide solutions.
The ongoing R&I efforts in ONE NET project were presented by Gianluca Lipari, senior scientist at Fraunhofer FIT. ONE NET project set an ambitious goal towards a fully replicable and scalable architecture that enables the whole European electrical system to operate as a single system in which a variety of markets allow the universal participation of stakeholders regardless of their physical location – at every level from small consumer to large producers. For more, please see project use cases here. The project already identified system services and architecture along with the supporting frameworks. GrifOn as presented below is expected to create EU wide consensus and building process to reach it.
Rolf Riemenschneider, Head of Sector at Internet of Things Unit in DG Connect of the European Commission, presented EU programs designed to facilitate R&I to address policy implementations and reflected on current system wide as well as sectorial, such as building, mobility and data spaces segment challenges.
The importance of data in enabling business models and the EU research ecosystem efforts in BRIDGE Data WG, GAIA-X – energy data space, Converging guidelines: Open DEI design principles for data spaces are all contributing towards scale ups.
Best practices from cross sectors, such as energy storage and the related large scale manufacturing were presented by Maher, Chebbo of Envision. Collective efforts are needed going forward to dynamically link the developments and scale up. The twin transition is upon us. EU IPCEIs are expected to accelerate and significantly drive the renewable technologies forward, while most of the enabling models rely on advanced digital enablement.
Carbon intensity, footprint solutions and services angle are interrelated. “Risks avoidance, such as risk of enterprise image, compliance risk like penalties, risk of commercialisation of products, risk of enterprise profitability, risk assets valuation…” paradigms go hand in hand with decarbonisation efforts. The diagram below shows IoT enabled changes and transformations.
Herbert Mittermayr of Bell Labs shared his vision on data driven solutions enabled by the advanced connectivity and governance models for scaling up, such as advanced metaverse trading platform approaches, ubiquitous data lakes, massive IIoT solutions including network-aaSensor, AI/ML based optimisation, balancing demand-supply, planning predictive maintenance are among potential ways forward within green energy aaS models.
David Rua of INESC TEC shared large scale Interconnect project´s efforts towards the scale ups along the role of evolving ICT architectures interoperability approaches within services offering building on paradigm change towards consumers.
Processing and analytics related to the above data projects like BD4NRG are expected to contribute and leverage AI-based Data-driven Sovereignty- preserving Big Data Management for Smart Energy and Smart Buildings.
Unprecedented times and lots of challenges lie ahead of all of us. Reach out and join our efforts at AIOTI groups Energy, Testbeds, Mobility and Logistics, Urban Society and Digital for Green. We are working jointly to address these challenges.
Key documents for further reading:
Roadmap R&I Implementation plan
