ESB has successfully proved the first element of its green data project which enables the real-time tracing of renewable matching from source to customer.
The green data project is being implemented in partnership with Dell Technologies, VMware and EpiSensor.
The initial proof of concept (PoC), which took place at ESB’s Grouselodge wind farm, in Limerick, Ireland, and Dell Technologies’ innovation centre used EpiSensor and VMware technologies to demonstrate the potential of green data in helping to support the energy transition and organisations that are advancing their net zero targets while reducing energy expenditures.
The green data project emerged through collective analysis of the carbon credit markets to provide organisations with the ability to improve their green credentials.
Through the energy intelligence provided by VMware Aria, the project aims to explore new methods that will provide increased accuracy and efficiency of the current Guarantee of Origins market mechanism which is in place throughout the EU.
Geraldine Moloney, Head of New Ventures at ESB, said: “We are proud to be a part of this important partnership which can help like-minded organisations on their journey to Net Zero.
“EpiSensor’s technology can enable us to provide real-time information through this API-enabled and data-driven solution that will allow our various stakeholders to analyse data remotely.
“We are delighted to continue to work with their team into the future and I am looking forward to seeing how this can support the delivery of our Net Zero by 2040 strategy.”
Brendan Carroll, CEO, EpiSensor, added: “Facilitating real-time data insights directly from the Grouselodge Wind Park to ESB’s programme leads and partners using EpiSensor IoT technology is groundbreaking.
“We’re excited to see how this programme evolves.”
This PoC required remote monitoring capabilities and an API-enabled, data-driven, real-time solution enabling various stakeholders to access and analyse the data remotely.
EpiSensor technology has enabled the initial technical trial proving the core hypotheses of verifiable real-time renewable energy generation and consumption matching.