Fuzzy optimization of multi-period carbon capture and storage systems with parametric uncertainties
College
Gokongwei College of Engineering
Department/Unit
Chemical Engineering
Document Type
Article
Source Title
Process Safety and Environmental Protection
Volume
92
Issue
6
First Page
545
Last Page
554
Publication Date
11-1-2014
Abstract
Carbon capture and storage (CCS) is an important technology option for reducing industrial greenhouse gas emissions. In practice, CO2 sources are easy to characterize, while the estimation of relevant properties of storage sites, such as capacity and injection rate limit (i.e., injectivity), is subject to considerable uncertainty. Such uncertainties need to be accounted for in planning CCS deployment on a large scale for effective use of available storage sites. In particular, the uncertainty introduces technical risks that may result from overestimating the limits of given storage sites. In this work, a fuzzy mixed integer linear program (FMILP) is developed for multi-period CCS systems, accounting for the technical risk arising from uncertainties in estimates of sink parameters, while still attaining satisfactory CO2 emissions reduction. In the model, sources are assumed to have precisely known CO2 flow rates and operating lives, while geological sinks are characterized with imprecise fuzzy capacity and injectivity data. Three case studies are then presented to illustrate the model. Results of these examples illustrate the tradeoff inherent in planning CCS systems under parametric uncertainty. © 2014 The Institution of Chemical Engineers
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Digitial Object Identifier (DOI)
10.1016/j.psep.2014.04.012
Recommended Citation
Tapia, J. D., & Tan, R. R. (2014). Fuzzy optimization of multi-period carbon capture and storage systems with parametric uncertainties. Process Safety and Environmental Protection, 92 (6), 545-554. https://doi.org/10.1016/j.psep.2014.04.012
Disciplines
Chemical Engineering
Keywords
Carbon sequestration
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