화학공학소재연구정보센터
학회 한국화학공학회
학술대회 2014년 봄 (04/23 ~ 04/25, 창원컨벤션센터)
권호 20권 1호, p.154
발표분야 공정시스템
제목 Biodiesel Process Simulation with Chlamydomonas reinhardtii metabolic network model
초록 In this presentation, we will discuss a simulation about batch-system biodiesel production under autotrophic condition with metabolic network of microalgae. It is a key issue to identify metabolism trade-off phenomenon between cell growth and lipid accumulation for optimizing biodiesel productivity. First, we connect macroscopic dynamic model and metabolic network model, which is widely used to predict the metabolic behavior in a microbial cell, using Michaelis-Menten kinetics. In addition, there are two objective functions which are added in the model and they can calculate cell growth rate and lipid synthesis rate. Second, we try to decide the time-dependent weighting factor to decipher the trade-off relationship between two objective functions and predict the next metabolism state with multi-objective optimization (MO) method. This study for biodiesel production simulation will suggest the potential for identification of synergistic combinations of prediction of microalgae metabolism and optimization of cultivation conditions.
저자 전민규, 김보은, 이재형
소속 KAIST
키워드 Microalgae; Chlamydomonas reinhardtii; Metabolic network model; Flux Balance Analysis; Multi-objective Optimization
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