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dc.contributor.advisorLinke, Patrick
dc.contributor.advisorElbashir, Nimir
dc.creatorKwak, Gihong
dc.date.accessioned2016-09-22T19:44:49Z
dc.date.available2018-08-01T05:57:23Z
dc.date.created2016-08
dc.date.issued2016-07-05
dc.date.submittedAugust 2016
dc.identifier.urihttps://hdl.handle.net/1969.1/158017
dc.description.abstractCarbon dioxide is a material which can be readily found in the atmosphere. However, as the amount of carbon dioxide from various man-made emission sources has been increasing steadily since the industrial revolution, anthropogenic carbon dioxide is placed in the highest portion in greenhouse gasses and threatens the climate with global warming. In the effort to reduce carbon dioxide emissions, many solutions were suggested. Among them, the construction of the Carbon Capture, Utilization and Storage (CCUS) system using carbon integration is the most attractive one because it is direct and efficient to suppress anthropogenic carbon dioxide emission. However, since the current carbon integration network of the CCUS system requires capital investment and operating cost, it is necessary to minimize the total cost of the system. To achieve the minimum cost for the system, this work analyzed the cost components of the total cost and developed their linear least-cost models to achieve a rigorous global optimum solution. Then, these cost models were applied to previously developed carbon integration network formulations by substituting non-linear correlations available. This work illustrated the new approach to develop simple optimized cost models to minimize the total carbon integration cost for each carbon reduction target, and the carbon integration results with new cost models were obtained to propose the economic potential of the carbon integration network of the CCUS system.en
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.subjectCarbon Integration Networken
dc.subjectOptimizationen
dc.subjectCarbon Capture, Utilization and Storageen
dc.subjectLinearizationen
dc.titleA Systematic Approach to Optimize the Cost of Carbon Integration Networken
dc.typeThesisen
thesis.degree.departmentChemical Engineeringen
thesis.degree.disciplineChemical Engineeringen
thesis.degree.grantorTexas A & M Universityen
thesis.degree.nameMaster of Scienceen
thesis.degree.levelMastersen
dc.contributor.committeeMemberParsaei, Hamid
dc.type.materialtexten
dc.date.updated2016-09-22T19:44:49Z
local.embargo.terms2018-08-01
local.etdauthor.orcid0000-0002-1257-2415


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