Continuous-time optimization model for source-sink matching in carbon capture and storage systems

College

Gokongwei College of Engineering

Department/Unit

Chemical Engineering

Document Type

Article

Source Title

Industrial and Engineering Chemistry Research

Volume

51

Issue

30

First Page

10015

Last Page

10020

Publication Date

8-1-2012

Abstract

Carbon capture and storage (CCS) is widely considered to be an essential technology for reducing carbon dioxide (CO 2) emissions from sources such as power plants. It involves isolating CO 2 from exhaust gases and then storing it in an appropriate natural reservoir that acts as a sink. Therefore, CCS is able to prevent CO 2 from entering the atmosphere. In this work, a continuous-time mixed integer nonlinear programming (MINLP) model for CO 2 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, CO 2 sources have fixed flow rates and operating lives, while CO 2 sinks have an earliest time of availability and a maximum CO 2 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. © 2012 American Chemical Society.

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Digitial Object Identifier (DOI)

10.1021/ie202821r

Disciplines

Chemical Engineering

Keywords

Carbon sequestration; Sinks (Atmospheric chemistry)

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