Enabling CO2 capture and storage using AI
Reference Number
EP/Y005732/1
Title
Enabling CO2 capture and storage using AI
Status
Completed
Energy Categories
Other Cross-Cutting Technologies or Research(Energy Models)
Fossil Fuels: Oil Gas and Coal(CO2 Capture and Storage)
Fossil Fuels: Oil Gas and Coal(CO2 Capture and Storage)
Research Types
Basic and strategic applied research
Science and Technology Fields
PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics)
ENVIRONMENTAL SCIENCES (Earth Systems and Environmental Sciences)
ENVIRONMENTAL SCIENCES (Earth Systems and Environmental Sciences)
UKERC Cross Cutting Characterisation
Systems Analysis related to energy R&D (Energy modelling)
Principal Investigator
Dr A Galindo
Chemical Engineering
Imperial College London
Chemical Engineering
Imperial College London
Award Type
Standard
Funding Source
EPSRC
Start Date
01 May 2023
End Date
31 March 2025
Duration
23 months
Total Grant Value
£789,045
Industrial Sectors
Info. & commun. Technol.
Region
London
Programme
Technology Missions Fund
Other Investigator
Dr C Adjiman, Chemical Engineering, Imperial College London
Dr F Fang, Earth Science and Engineering, Imperial College London
Professor G Jackson, Chemical Engineering, Imperial College London
Professor CC Pain, Department of Earth Sciences, Imperial College London
Dr F Fang, Earth Science and Engineering, Imperial College London
Professor G Jackson, Chemical Engineering, Imperial College London
Professor CC Pain, Department of Earth Sciences, Imperial College London
Web Site
Objectives
Abstract
The International Energy Agency (IEA) has identified Carbon Capture and Storage (CCS) in deep geological formation as one of the key approaches to reduce CO2 emissions. CCS is a combination of technologies for CO2 capture from large emitter industries and CO2 storage in deep geological formations, preventing its release back into the atmosphere. Currently, there are key barriers for the wide adoption of CCS on a large scale, such as (a) the high cost of CO2 capture that is an energy intensive chemical process, (b) the high cost of subsurface CO2 storage especially at the early stages of site selection and characterization of safe storage sites, and (c) the uncertainties in how CCS projects are financed and the interplay between technological innovation and policy intervention on the CO2 market and emission targets.
Data
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Publications
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Added to Database
06/08/25
