BD4NRG PROJECT [Jan/2021 – Dec/2023]
The
need of increasing levels of information to operate the power systems is
unveiling an enormous opportunity for energy stakeholders to leverage on big
data & AI technologies to improve decision making.
In that respect the project BD4NRG that involves 35 partners from 12 countries will in short:
- Deliver a reference architecture to enable B2B multi-party data exchange, while providing full interoperability of leading-edge big data technologies with smart grid standards and operational frameworks;
- Deliver a TRL8 open modular big data analytic toolbox (data, computing resources, models, algorithms);
- Deliver predictive and prescriptive edge AI-based big data analytics on 13 large scale pilots, deployed by different energy stakeholders (e.g. TSOs and DSOs, aggregators, local energy communities, ESCOs, etc), covering the energy value chain
R&D Nester together with REN (Portuguese TSO) will develop proof-of-concept solutions to support two assets that are critical for the performance of the power systems:
- Condition-based maintenance of circuit breakers taking into account different operational conditions
- Generate a semi-automatic maintenance plan for overhead lines from inspection data
Project website: https://www.bd4nrg.eu/
This project has received
funding from the European Union's Horizon 2020 research and innovation
programme under grant agreement No 872613.