Evaluating the Variability of Energy Consumption and Carbon Footprints of Activated Carbon Production Using Machine Learning Integrated Process Simulation.

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dc.contributor.advisorYuan Yao, Chair
dc.contributor.advisorStephen Kelley, Member
dc.contributor.advisorSunkyu Park, Member
dc.contributor.authorLiao, Mochen
dc.date.accepted2020-07-01
dc.date.accessioned2020-07-02T12:31:07Z
dc.date.available2020-07-02T12:31:07Z
dc.date.defense2020-05-26
dc.date.issued2020-05-26
dc.date.released2020-07-02
dc.date.reviewed2020-06-02
dc.date.submitted2020-06-01
dc.degree.disciplineForest Biomaterials
dc.degree.levelthesis
dc.degree.nameMaster of Science
dc.descriptionNorth Carolina State University Theses Forest Biomaterials.
dc.formatM.S. North Carolina State University, 2020.
dc.identifier.otherdeg21759
dc.identifier.urihttps://www.lib.ncsu.edu/resolver/1840.20/38065
dc.titleEvaluating the Variability of Energy Consumption and Carbon Footprints of Activated Carbon Production Using Machine Learning Integrated Process Simulation.
dcterms.extent1 online resource (vi, 87 pages) : illustrations (some color)

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