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- In relation to this article, we declare that there is no conflict of interest.
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Received June 4, 2021
Accepted August 30, 2021
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스팀 절감량 예측을 위한 흑액 다중 효용 증발 공정 모델 개발
Development of Black Liquor Multiple-effect-evaporation Process Model to Predict Steam Savings
Yurim Kim1 2
Jonghun Lim1 3
Yeongryeol Choi1 3
Taebok Kim4
Hansin Park4
Hyungtae Cho1†
Junghwan Kim1†
1한국생산기술연구원 친환경재료공정연구그룹, 44413 울산광역시 중구 종가로 55 2동국대학교 화공생물공학과, 04620 서울특별시 중구 필동로 1길 30 3연세대학교 화공생명공학과, 03722 서울특별시 서대문구 연세로 50 4무림P&P㈜ 프로젝트부, 45011 울산광역시 울주군 온산읍 우봉강양로 3-36
1Green Materials and Processes R&D Group, Korea Institute of Industrial Technology, 55, Jonga-ro, Ulsan, 44413, Korea 2Department of Chemical and Biochemical Engineering, Dongguk University, 30, Pildong-ro 1-gil, Jung-gu, Seoul, 04620, Korea 3Department of Chemical and Biomolecular Engineering, Yonsei University, 50, Yonsei-ro, Seoul, 03722, Korea 4Project Part, MOORIM P&P Co., 3-36, Ubonggangyang-ro, Ulsan, 45011, Korea
htcho@kitech.re.kr
Korean Chemical Engineering Research, February 2022, 60(1), 25-33(9), 10.9713/kcer.2022.60.1.25 Epub 24 January 2022
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Abstract
본 연구에서는 흑액 증발공정에 소비되는 스팀의 절감량을 예측하기 위해 증발기 수에 따른 다중 효용 증발공정 모델을 개발하였다. 개발한 공정 모델은 흑액의 예열 및 증발 과정으로 구성되어 있고, 스팀 사용량을 예측하기 위해 가상의 재비기가 추가되었다. 시뮬레이션 결과, 2중 효용 증발기에서 스팀 사용량은 48.9% 감소하였고, 증발기 수가 증가함에 따라 스팀 사용량이 감소하여 8중 효용 증발기에서 최대 76.5% 감소함을 확인하였다. 시뮬레이션 결과를 증발기 수에 따른 포화증기의 잠열 회수량, 스팀 사용량, 각 증발기의 포화증기 생산량으로 분석하여 최적의 증발기 수 도출을 위한 방안을 제시하였다.
This study developed the black liquor evaporation process models using the multiple-effect-evaporator according to the number of effects to predict steam consumption. The developed models were divided into the black liquor preheating and evaporation processes, and a virtual reboiler was added to predict steam consumption. In simulation results, the steam consumption in the double-effect-evaporator was decreased by 48.9 %, and as the number of effects increased, the steam consumption was decreased. Finally, the steam consumption in the octuple-effectevaporator was decreased by 61.2 %. Also, this study suggests a strategy for deriving the optimal number of effects in the process by analyzing the latent heat recovered from the saturated vapor produced in the multiple-effect-evaporator and the amount of saturated vapor produced by each effect.
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