孙凯彪

个人信息Personal Information

副教授

硕士生导师

性别:男

毕业院校:北京师范大学

学位:博士

所在单位:控制科学与工程学院

学科:控制理论与控制工程. 应用数学

办公地点:海山楼1129

电子邮箱:sunkb@dlut.edu.cn

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Studies on generalized kinetic model and Pareto optimization of a product-driven self-cycling bioprocess

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论文类型:期刊论文

发表时间:2014-10-01

发表刊物:BIOPROCESS AND BIOSYSTEMS ENGINEERING

收录刊物:SCIE、EI、PubMed、Scopus

卷号:37

期号:10

页面范围:1971-1987

ISSN号:1615-7591

关键字:Generalized kinetic model; Optimization; Pareto front; Preferred solution; Self-cycling bioprocess

摘要:The aim of this study is the optimization of a product-driven self-cycling bioprocess and presentation of a way to determine the best possible decision variables out of a set of alternatives based on the designed model. Initially, a product-driven generalized kinetic model, which allows a flexible choice of the most appropriate kinetics is designed and analysed. The optimization problem is given as the bi-objective one, where maximization of biomass productivity and minimization of unproductive loss of substrate are the objective functions. Then, the Pareto fronts are calculated for exemplary kinetics. It is found that in the designed bioprocess, a decrease of emptying/refilling fraction and an increase of substrate feeding concentration cause an increase of the biomass productivity. An increase of emptying/refilling fraction and a decrease of substrate feeding concentration cause a decrease of unproductive loss of substrate. The preferred solutions are calculated using the minimum distance from an ideal solution method, while giving proposals of their modifications derived from a decision maker's reactions to the generated solutions.