ECO-AI Workshop: AI-Driven Solutions for Carbon Capture and Storage
The ECO-AI project recently hosted an immersive two-day workshop dedicated to exploring groundbreaking AI solutions in the field of Carbon Capture and Storage (CCS). This event, a key component of the ECO-AI project, aimed to address critical challenges in implementing large-scale CCS technologies. The event delved into innovative AI applications that enhanced the efficiency and effectiveness of CCS processes.
Event Details
Date and Time:
Monday 11 March: 13:00 - 17:00 (lunch served from 12:00)
Tuesday 12 March: 09:00 - 17:00
Location: Heriot-Watt University, Edinburgh, UK
Venue: Scott Suite, Edinburgh Business School
Engaging Sessions and Expert Panels
The workshop featured a diverse lineup of sessions led by renowned experts from the ECO-AI project team at Heriot-Watt University and Imperial College London, along with prominent academic and industry leaders. The workshop covered a wide range of topics including:
- AI materials discovery pipeline for energy-efficient CO2 capture.
- AI-solvers for modelling CO2 flow in geological storage formations.
- Modelling CO2 target progress and innovation trajectories in various industrial sectors.
- Special Guest Speakers from other projects funded under the UKRI call on AI for NetZero research.
Collaboration and Learning
Participants networked with leading scientists and professionals in the field, engaged in thought-provoking discussions on AI’s role in achieving the UK’s NetZero targets, and gained insights from external speakers representing other UKRI-funded projects under the AI for NetZero funding calls.
Speaker Presentations
- Re-Storing carbon CCS advantages and problems, Prof. Stuart Haszeldine, University of Edinburgh
- Into the Known/Unknown, Simon Bennett, AVEVA Group plc
- Incorporating local surrogates into large-scale deterministic optimisation models for integrated decision-making in complex systems, Prof. Michael Short, University of Surrey
- AI Opportunities in CCUS: an ‘Industrial’ Perspective, Harry Brekelmans
- Upscaling the porosity–permeability relationship of a microporous carbonate for Darcy-scale flow with machine learning, Dr Hannah Menke, Heriot-Watt University
- Hybrid AI and physical modelling for accurate and rapid environmental prediction and management, Dr. Fangxin Fang, Imperial College London
- Financing Sustainability: Exploring Counterfactuals, Prof. Dimitris Christopoulos, Edinburgh Business School
- A vision for CCUS in the UK, Daniel Mullen, SSE Thermal
Workshop program (updated 08 March 2024)
Contact Us
If you have any questions about this event, please contact ECO-AI project manager at aw2073@hw.ac.uk
Workshop photos
