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Received August 18, 2022
Revised November 1, 2022
Accepted January 13, 2023
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바이오 기반 2,3-butanediol 증류 공정의 제어 및 동적 최적화

Process Control and Dynamic Optimization of Bio-based 2,3-butanediol Distillation Column

1한국생산기술연구원 친환경재료공정연구그룹 44413 울산광역시 중구 종가로 55 2건국대학교 화학공학부 05029 서울특별시 광진구 능동로 120 3연세대학교 화공생명공학과 03722 서울특별시 서대문구 연세로 50 4GS칼텍스 기술연구소 34122 대전광역시 유성구 엑스포로 359
1Green Materials and Processes R&D Group, Korea Institute of Industrial Technology, 55, Jongga-ro, Ulsan, 44413, Korea 2Department of Chemical Engineering, Konkuk University, 120, Neungdong-ro, Gwangjin-gu, Seoul, 05029, Korea 3Department of Chemical and Biomolecular Engineering, Yonsei University, 50, Yonsei-ro, Seoul, 03722, Korea 4R&D Center, GS Caltex Corp., 359 Expo-ro, Yuseong-gu, Daejeon, 34122, Korea
Korean Chemical Engineering Research, May 2023, 61(2), 217-225(9), 10.9713/kcer.2023.61.2.217 Epub 31 May 2023
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화장품, 비료 등 다양한 분야에서 사용되는 2,3-butanediol (2,3-BDO) 는 고부가가치 물질로 그 수요가 점차 증가하 고 있다. 미생물의 발효로부터 생산된 2,3-BDO는 발효의 부산물을 포함하고 있을 뿐만 아니라 발효 조건에 따라 피드 조성의 변동이 심하여 생산물의 목표 순도에 도달하기 위한 분리 공정의 효율적인 운전이 어렵다. 따라서 본 연구에서는 바이오 기반 2,3-BDO 증류 공정의 동적 최적화를 통해 피드의 농도가 변화할 때 하단 생산물의 2,3-BDO 농도를 99 wt% 이상으로 제어할 수 있는 최적의 제어 경로를 탐색하였다. 정상 및 동적 상태 공정 모사와 Proportional integral (PI) 제 어기 설계 후 동적 최적화를 차례로 수행하였다. 그 결과 하단 생산물의 2,3-BDO 농도와 설정점 사이의 오차가 75.2% 감소하였다.

Butanediol (2,3-BDO), which is used in various fields such as cosmetics and fertilizers, is a high valueadded substance and the demand for it is gradually increasing. 2,3-BDO produced from the fermentation of microorganisms not only contains by-products of fermentation, but also varies greatly in feed composition depending on fermentation conditions, so it is difficult to efficiently operate the separation process to reach the target purity of the product. Therefore, in this study, through dynamic optimization of the bio-based 2,3-BDO distillation process, the optimal control route was explored to control the 2,3-BDO concentration of the bottom product to 99 wt% or more, when feed concentration changes. Steady and dynamic state process simulation, proportional integral (PI) controller design, and dynamic optimization were sequentially performed. As a result, the error between the 2,3-BDO concentration and the set point of the bottom product was reduced by 75.2%


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