Optimal source-sink matching in carbon capture and storage systems under uncertainty
College
Gokongwei College of Engineering
Department/Unit
Chemical Engineering
Document Type
Article
Source Title
Industrial and Engineering Chemistry Research
Volume
53
Issue
2
First Page
778
Last Page
785
Publication Date
1-15-2014
Abstract
This study addresses the robust optimal source-sink matching in carbon capture and storage (CCS) supply chains under uncertainty. A continuous-time uncertain mixed-integer linear programming (MILP) model with physical and temporal constraints is developed, where uncertainties are described as interval and uniform distributed stochastic parameters. A worst-case MILP formulation and a robust stochastic two-stage MILP formation are proposed to handle interval and stochastic uncertainties, respectively. Then, two illustrative case studies are solved to demonstrate the effectiveness of the proposed models for planning CCS deployment under uncertainty. © 2013 American Chemical Society.
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Digitial Object Identifier (DOI)
10.1021/ie402866d
Recommended Citation
He, Y., Zhang, Y., Ma, Z., Sahinidis, N. V., Tan, R. R., & Foo, D. Y. (2014). Optimal source-sink matching in carbon capture and storage systems under uncertainty. Industrial and Engineering Chemistry Research, 53 (2), 778-785. https://doi.org/10.1021/ie402866d
Disciplines
Chemical Engineering
Keywords
Carbon sequestration
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