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Continuous-Time Optimization Model for Source-Sink Matching in Carbon Capture and Storage Systems

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Title Continuous-Time Optimization Model for Source-Sink Matching in Carbon Capture and Storage Systems
 
Creator TAN, RR
AVISO, KB
BANDYOPADHYAY, S
NG, DKS
 
Subject PIPELINE NETWORK
CO2 TRANSPORT
CCS
 
Description Carbon capture and storage (CCS) is widely considered to be an essential technology for reducing carbon dioxide (CO2) emissions from sources such as power plants. It involves isolating CO2 from exhaust gases and then storing it in an appropriate natural reservoir that acts as a sink. Therefore, CCS is able to prevent CO2 from entering the atmosphere. In this work, a continuous-time mixed integer nonlinear programming (MINLP) model for CO2 source sink matching in CCS systems is developed; the initial model is then converted into an equivalent mixed integer linear program (MILP). It is assumed that in CCS systems, CO2 sources have find flow rates and operating lives, while CO2 sinks have an earliest time of availability and a maximum CO2 storage capacity. Thus, the resulting optimization model focuses on important physical and temporal aspects of planning CCS. The usefulness of the model is illustrated using two case studies.
 
Publisher AMER CHEMICAL SOC
 
Date 2014-10-14T17:11:53Z
2014-10-14T17:11:53Z
2012
 
Type Article
 
Identifier INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 51(30)10015-10020
http://dx.doi.org/10.1021/ie202821r
http://dspace.library.iitb.ac.in/jspui/handle/100/14536
 
Language en