Projects: Projects for InvestigatorUKERC Home UKERC Energy Data Centre Projects Choose Investigator All Projects involving NE/H01392X/1
|Title||Multiscale whole systems modelling and analysis for CO2 capture, transport and storage|
|Energy Categories||FOSSIL FUELS: OIL, GAS and COAL(CO2 Capture and Storage, CO2 capture/separation) 33%;
FOSSIL FUELS: OIL, GAS and COAL(CO2 Capture and Storage, CO2 transport) 33%;
FOSSIL FUELS: OIL, GAS and COAL(CO2 Capture and Storage, CO2 storage) 34%;
|Research Types||Basic and strategic applied research 100%|
|Science and Technology Fields||ENGINEERING AND TECHNOLOGY (Chemical Engineering) 50%;
ENVIRONMENTAL SCIENCES (Earth Systems and Environmental Sciences) 50%;
|UKERC Cross Cutting Characterisation||Not Cross-cutting 70%;
Sociological economical and environmental impact of energy (Environmental dimensions) 30%;
Professor S (Sevket ) Durucan
No email address given
Earth Science and Engineering
Imperial College London
|Start Date||01 June 2010|
|End Date||31 May 2013|
|Total Grant Value||£691,205|
|Industrial Sectors||No relevance to Underpinning Sectors; Transport Systems and Vehicles|
|Programme||Environmental Risks and Hazards, Global Change, Natural Resource Management, Pollution and Waste|
|Investigators||Principal Investigator||Professor S (Sevket ) Durucan , Earth Science and Engineering, Imperial College London (99.997%)|
|Other Investigator||Dr A (Anna ) Korre , Earth Science and Engineering, Imperial College London (0.001%)
Professor N ( Nilay ) Shah , Chemical Engineering, Imperial College London (0.001%)
Dr PDM (Peter ) Spelt , Chemical Engineering, Imperial College London (0.001%)
The following grants are linked: NE/H013865/1, NE/H01392X/1, NE/H013946/1
The principal aims of the project are to develop a systems modelling framework relevant to CCS and apply this to perform a range of analyses which quantify a series of environmental, economic and safety-related metrics. This is broken down into a number of grouped objectives:
The UK has challenging GHG reduction targets. It is believed that carbon capture and storage (CCS) will play a critical role in the energy systems of the future, in part to support the decarbonisation objective and in part to provide grid flexibility in a future system including a large fraction of less responsive low carbon energy systems (e.g. nuclear baseload and intermittent wind).
The whole systems modelling and analysis programme proposed here is designed to support wider UK initiatives by reducing technological risk and identifying performance bottlenecks. CCS will require substantial capital investment in capture and transport systems and storage complex management. Although elements of the whole chain have been studied through modelling and experimentation, there is little work on whole system assessment. For complex systems such as CCS, whole system assessment is vital ahead of large scale deployment as it identifies critical integration and interaction issues between the components and evaluates whole system performance as a function of component design parameters. Thus the whole system may be optimised; simply optimising the design of individual components is likely to result in a sub-optimal system design.
The proposed research methodology is based on multiscale modelling. This involves the development of fit-for-purpose models of the individual components which describe phenomena that operate over different length and time scales and which support integration and data exchange across scales. The reason for this is that relatively localised phenomena (e.g. mass transfer in an amine scrubber) might affect the overall system transient response by limiting the rate at which the power plant flue gas flowrate can be turned up or down. Similarly, the important performance trade-offs in individual component designs must be characterised and used for overall system design.
There are a number of important issues to be resolved regarding future CCS systems; the applicants believe that multiscale systems modelling approach is ideal to develop relevant insights and guidance. Examples of the issues to be addressed through whole systems modelling, analysis and optimisation include:
The outcome of the programme will be relevant to a very wide range of stakeholders interested in CCS, including industry, regulatory and policy agencies and academia.
The most important contributions of the project will be:
|Added to Database||22/10/10|