TY - JOUR AB - 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. AD - Korea Adv Inst Sci & Technol, Dept Chem & Biomol Engn, Taejon 305701, South Korea AN - WOS:000325081900022 AU - Rizwan, M. AU - Lee, J. H. AU - Gani, R. DA - Nov 11 DO - 10.1016/j.compchemeng.2013.08.002 J2 - Comput Chem Eng KW - superstructure optimization LA - English N1 - 227bh PY - 2013 SN - 0098-1354 SP - 305-314 ST - Optimal processing pathway for the production of biodiesel from microalgal biomass: A superstructure based approach T2 - Computers & Chemical Engineering TI - Optimal processing pathway for the production of biodiesel from microalgal biomass: A superstructure based approach UR - ://WOS:000325081900022 VL - 58 ID - 9219 ER -