Corrosion prediction in CO2 transport - A new paradigm
Lead Participant:
SIEMENS PROCESS SYSTEMS ENGINEERING LIMITED
Abstract
A complete Carbon Capture and Storage (CCS) system requires safe, reliable and cost effective solutions for the
transmission of CO2 from the capture facility to the location of permanent storage. Carbon steel pipelines are
considered to be the most cost effective solution for this purpose, however, they are susceptible to corrosion
when water is present in the CO2 stream, particularly if anthropogenic impurities are present. This feasibility
study aims to establish the importance of the liquid phase composition and pH on corrosion susceptability
across a test matrix aligned with likely CO2 transportation conditions in the UK. As such, the project represents
a key building block towards the development of a unique corrosion prediction tool for supercritical CO2
transport. An experimental framework will provide the necessary inputs for the corrosion-related aspects of
the model with ; predictions of corrosion rates and mechanisms will be possible. Combining this with state of
the art modelling of the phase equilibria and measurement of the liquid pH takes the correlation modelling to a
new paradigm: allowing us to understand much more about the conditions susceptible to corrosion.
transmission of CO2 from the capture facility to the location of permanent storage. Carbon steel pipelines are
considered to be the most cost effective solution for this purpose, however, they are susceptible to corrosion
when water is present in the CO2 stream, particularly if anthropogenic impurities are present. This feasibility
study aims to establish the importance of the liquid phase composition and pH on corrosion susceptability
across a test matrix aligned with likely CO2 transportation conditions in the UK. As such, the project represents
a key building block towards the development of a unique corrosion prediction tool for supercritical CO2
transport. An experimental framework will provide the necessary inputs for the corrosion-related aspects of
the model with ; predictions of corrosion rates and mechanisms will be possible. Combining this with state of
the art modelling of the phase equilibria and measurement of the liquid pH takes the correlation modelling to a
new paradigm: allowing us to understand much more about the conditions susceptible to corrosion.
Lead Participant | Project Cost | Grant Offer |
---|---|---|
SIEMENS PROCESS SYSTEMS ENGINEERING LIMITED | ||
  | ||
Participant |
||
UNIVERSITY OF LEEDS | ||
WOOD GROUP KENNY UK LIMITED | £710 | £ 710 |
People |
ORCID iD |