Optimal processing pathway for the production of biodiesel from microalgal biomass: A superstructure based approach

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In this study, we propose a mixed integer nonlinear programming (MINLP) model for superstructure based optimization of biodiesel production from microalgal biomass. The proposed superstructure includes a number of major processing steps for the production of biodiesel from microalgal biomass, such as the harvesting of microalgal biomass, pretreatments including drying and cell disruption of harvested biomass, lipid extraction, transesterification, and post-transesterfication purification. The proposed model is used to find the optimal processing pathway among the large number of potential pathways that exist for the production of biodiesel from microalgae. The proposed methodology is tested by implementing on a specific case with different choices of objective functions. The MINLP model is implemented and solved in GAMS using a database built in Excel. The results from the optimization are analyzed and their significances are discussed. (C) 2013 Elsevier Ltd. All rights reserved.
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Issue Date
2013-11
Language
English
Article Type
Article
Keywords

CHLORELLA-VULGARIS; LIQUID BIOFUELS; PROCESS DESIGN; EXTRACTION; OIL; FLOCCULATION; OPTIMIZATION; SYSTEMS; LIPIDS; WASTE

Citation

COMPUTERS & CHEMICAL ENGINEERING, v.58, pp.305 - 314

ISSN
0098-1354
DOI
10.1016/j.compchemeng.2013.08.002
URI
http://hdl.handle.net/10203/188451
Appears in Collection
CBE-Journal Papers(저널논문)
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