The Net Zero Technology Centre created a challenge, in conjunction with The Alan Turing Institute, Oxquant and ORE Catapult to discover, through the power of artificial intelligence, the optimal pathway to net zero that maximised jobs and economic value for the UK.
Building on the model used to produce the Reimagining a Net Zero North Sea: An Integrated Energy Vision for 2050 report, the RangL challenge sought to gamify these modelled parameters into a time step environment where AI could be deployed to calculate the most rewarding steps in the pathways to net zero by 2050.
The main objective of this industry collaboration was to crowdsource the global AI community to showcase reinforcement learning and other optimisation algorithms in finding optimal deployments of blue hydrogen, green hydrogen, and offshore wind to generate the most rewarding economic and environmental benefits based on CAPEX investment, OPEX investment, decommissioning costs, jobs, revenue, and emissions.
The RangL challenge was successfully delivered in January 2022 and the Net Zero Technology Centre would like to welcome you to join us for a webinar on the 21st of April where you will hear from the RangL project team and the participants who submitted solutions to solve the challenge.
- Project Overview, Blair O'Connor, Net Zero Technology Centre
- Integrated Energy Vision, Jason Paterson, Net Zero Technology Centre
- The RangL Competition, Dr Richard Saldanha, Oxquant; and Prof. John Moriarty, Queen Mary University London & The Alan Turing Institute
- The Winning Teams
- Panel and Q&A
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This virtual event is being recorded and may be broadcast in video or audio format at a later date.