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Model development for prediction of stress-induced lipid accumulation from cell condition |
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Seung Hwan Oh, Jay H Lee(KAIST, Korea) |
| In this study, two-stage cultivation of Chlorella sorokiniana HS1 strain is performed using NaCl as a stress inducer. A component additivity model is developed to predict the microalgal stress-induced lipid accumulation. The model considers various measured conditions of the cells that are harvested in the biomass production stage. As a result, cell density, lipid contents, starch contents, and Fv/Fm are identified as the important cell conditions relevant to the outcome of lipid induction. In particular, cell density has the largest influence accounting for 46.98 % of the total variance. |
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Multi-objective Optimal Operation Strategy for Cellulosic Biobutanol Fermentation with Ex Situ Butanol Recovery (ESBR) |
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Ha Eun Byun, Boeun Kim, Jay H Lee(KAIST, Korea) |
| In this study, we propose an optimal operation strategy for the acetone-butanol-ethanol (ABE) fermentation integrated with ex situ recovery-by-adsorption (ESBR-by-adsorption) system using glucose and xylose as substrates. A kinetic model for co-fermentation of glucose and xylose was developed, and a model-based optimization was performed to find the best cyclic steady state (CSS) condition. Major operating variables were optimized for multiple objectives such as butanol productivity maximization, butanol yield maximization, and sugar loss minimization. |
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Construction of a shortcut model for amine scrubbing CO2 capture process |
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Wonseok Chung, Jay H Lee(KAIST, Korea) |
| Herein, we suggest a strategy to provide a shortcut model for the CO2 capture process that considers feed pressure, CO2 capture rate, and utility prices. A shortcut model for piperazine-based CO2 capture process is proposed as an example. Case studies and process optimization under techno-economic analysis are accompanied. The constructed shortcut model was able to predict steam consumption rate and capital cost with high accuracy. |
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Multiple Tube Model Predictive Control with Decomposed Disturbance Subsets Approach for Less Conservative Control of Worst-Case Cost |
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Tae Hoon Oh(Seoul National University, Korea), Jong Min Lee(School of Chemical and Biological Engineering, Institute of Chemical Processes, Korea) |
| Robust model predictive control with worst-case cost could successfully reject the bounded disturbance and lower the upper bound of the cost. It rarely, however, applied in industry because the algorithm deals with the scenario which has the negligible probability to occur. In this paper, the Multi-Tube MPC (MTMPC) is proposed with the notion of minimum response probability that the controller only react to the scenario which has a significant probability. The parameterized tube MPC was used to evaluate each scenario and the maximization has been taken. |
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Computer-Aided Process Design for Membrane Networks Systems |
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Sunghoon Lee, Jin-Kuk Kim(Hanyang University, Korea) |
| Membrane process has been emerged as a promising separation technology with advantages of small foot print, easy installation and fast membrane development. However, the procedure for enriching target component requires multi-stage membrane configuration for reducing consumption energy. In this study, the superstructure approach, which considers all the possible structures and conditions is proposed to determine optimal membrane stages, recycles streams and arrangement of pressure controllers with objective function composed of main capital and operating expenditures in MATLAB® environment. |
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Process Integration and Optimization for Absorption-Based CO2 Capture Systems |
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Seokwon Yun, Jin-Kuk Kim(Hanyang University, Korea) |
| Evaluation of CO2 capture process is performed by calculating CO2 capture cost or CO2 avoidance cost. To reduce the CO2 capture cost, we study about the process optimization of CO2 capture process and evaluating method. Based on this, CO2 capture process for power plant flue gas is simulated. Also, CO2 capture cost of capture process is estimated and cost reduction effect by process improvement is confirmed. Based on the derived optimal process information, economic feasibility was evaluated by estimating the equipment cost, operation cost and other related costs, and compared the results. |
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