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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

  • 김유림 (한국생산기술연구원 친환경재료공정연구그룹) ;
  • 임종훈 (한국생산기술연구원 친환경재료공정연구그룹) ;
  • 최영렬 (한국생산기술연구원 친환경재료공정연구그룹) ;
  • 김태복 (무림P&P(주) 프로젝트부) ;
  • 박한신 (무림P&P(주) 프로젝트부) ;
  • 조형태 (한국생산기술연구원 친환경재료공정연구그룹) ;
  • 김정환 (한국생산기술연구원 친환경재료공정연구그룹)
  • Kim, Yurim (Green Materials and Processes R&D Group, Korea Institute of Industrial Technology) ;
  • Lim, Jonghun (Green Materials and Processes R&D Group, Korea Institute of Industrial Technology) ;
  • Choi, Yeongryeol (Green Materials and Processes R&D Group, Korea Institute of Industrial Technology) ;
  • Kim, Taebok (Project Part, MOORIM P&P Co.) ;
  • Park, Hansin (Project Part, MOORIM P&P Co.) ;
  • Cho, Hyungtae (Green Materials and Processes R&D Group, Korea Institute of Industrial Technology) ;
  • Kim, Junghwan (Green Materials and Processes R&D Group, Korea Institute of Industrial Technology)
  • 투고 : 2021.06.04
  • 심사 : 2021.08.30
  • 발행 : 2022.02.01

초록

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-effect-evaporator 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.

키워드

과제정보

본 논문은 한국생산기술연구원 "발전용 회수보일러 ash 제거 시스템 실시간 최적화를 위한 지능화 모델 및 실증화 기술 개발(JH-21-0006)" 및 "기업체 에너지공정 최적화 지원사업(EM-21-0022, IR-21-0029, IZ-21-0052)"의 지원으로 수행한 연구입니다.

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