Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/37847
Title: MODELING AND OPTIMIZATION OF NOVEL HIGEE PROCESSES FOR WATER AND BIOPRODUCT APPLICATIONS
Authors: GUDENA KRISHNA
Keywords: HiGee, Membrane, (non)-Reactive Separation, Multi-scale Modeling, Optimization, Decentralized Processing.
Issue Date: 16-Aug-2012
Source: GUDENA KRISHNA (2012-08-16). MODELING AND OPTIMIZATION OF NOVEL HIGEE PROCESSES FOR WATER AND BIOPRODUCT APPLICATIONS. ScholarBank@NUS Repository.
Abstract: Process intensification plays a crucial role in proposing substantially smaller, cleaner and energy efficient (bio)chemical processes. This thesis proposes several novel applications of HiGee (acronym for high gravity) for reactive and non-reactive intensified separation processes. The proposed designs are examined for large-scale and/or decentralized applications of contaminated groundwater purification, recovery/purification of bioethanol from lignocellulose-based feedstock, and lactic acid separation/concentration. The challenges in these separation applications are due to dilute feed streams that are spatially and temporally distributed. Hence, recovery and concentration of the product is resource and energy intensive. Both reactive and non-reactive intensified processes were analyzed by rigorous modeling and optimization, and their performance in terms of total annual cost, compactness, conversion and selectivity with the relevant conventional processes in the literature is detailed in this thesis. Overall, the obtained results in this doctoral research indicate that the proposed intensified processes are promising for practical implementation.
URI: http://scholarbank.nus.edu.sg/handle/10635/37847
Appears in Collections:Ph.D Theses (Open)

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