Multiscale modeling of integrated CCS systems

Ahmed Alhajaj, Nilay Shah

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The world will continue consuming fossil fuel within the coming decades to meet its growing energy demand; however, this source must be cleaner through implementation of carbon capture, transport and storage (CCTS). This process is complex and involves multiple phases, owned by different operational companies and stakeholders with different business models and regulatory framework. The objective of this work is to develop a multiscale modeling approach to link process models, post-combustion capture plant model and network design models under an optimization framework in order to design and analyse the cost optimal CO 2 infrastructure that match CO 2 sources and sinks in capacity and time. The network comprises a number of CO 2 sources at fixed locations and a number of potential CO 2 storage sites. The decisions to be determined include from which sources it is appropriate to capture CO 2 and the cost-optimal degree-of-capture (DOC) for a given source and the infrastructural layout of the CO 2 transmission network.

Original languageBritish English
Title of host publicationProceedings of the International Conference of Computational Methods in Sciences and Engineering 2010, ICCMSE 2010
EditorsTheodore E. Simos, Theodore E. Simos, George Maroulis, Theodore E. Simos, Theodore E. Simos
Pages445-447
Number of pages3
ISBN (Electronic)9780735412828
DOIs
StatePublished - 2015
EventInternational Conference of Computational Methods in Sciences and Engineering 2010, ICCMSE 2010 - Psalidi, Kos, Greece
Duration: 3 Oct 20108 Oct 2010

Publication series

NameAIP Conference Proceedings
Volume1642
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

ConferenceInternational Conference of Computational Methods in Sciences and Engineering 2010, ICCMSE 2010
Country/TerritoryGreece
CityPsalidi, Kos
Period3/10/108/10/10

Keywords

  • Carbon capture and storage optimization
  • CCS modeling
  • network design

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