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Global optimization for sustainable design and synthesis of algae processing network for CO 2 mitigation and biofuel production using life cycle optimization
Author(s) -
Gong Jian,
You Fengqi
Publication year - 2014
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.14504
Subject(s) - mathematical optimization , biofuel , integer programming , global optimization , multi objective optimization , algae fuel , pareto principle , life cycle assessment , production (economics) , mathematics , computer science , engineering , waste management , biodiesel , chemistry , economics , biochemistry , catalysis , macroeconomics
Global optimization for sustainable design and synthesis of a large‐scale algae processing network under economic and environmental criteria is addressed. An algae processing network superstructure including 7800 processing routes is proposed. Based on the superstructure, a multiobjective mixed‐integer nonlinear programming (MINLP) model is developed to simultaneously optimize the unit cost and the unit global warming potential (GWP). To efficiently solve the nonconvex MINLP model with separable concave terms and mixed‐integer fractional terms in the objective functions, a global optimization strategy that integrates a branch‐and‐refine algorithm based on successive piecewise linear approximations is proposed and an exact parametric algorithm based on Newton's method. Two Pareto‐optimal curves are obtained for biofuel production and biological carbon sequestration, respectively. The unit annual biofuel production cost ranges from $7.02/gasoline gallon equivalent (GGE) to $9.71/GGE, corresponding to unit GWP's of 26.491 to 16.52 kg CO 2 ‐eq/GGE, respectively. © 2014 American Institute of Chemical Engineers AIChE J , 60: 3195–3210, 2014