KOSEN 한인과학기술자네트워크

서울대학교 화학생물공학부의 연구실입니다.
연구 분야
■ Research Program in PSSL
We have focused on general process systems areas since opened in 1983. Our main topics have been monitoring, fault diagnosis, control, modeling, simulation and optimization of chemical processes. As a result, energy management system for large/middle and middle/small sized boiler plants (ENDS, ENiGMA), knowledge-based expert system for PP and BTX processes (FINDS/PP, FINDS/BTX), and the first dynamic simulator in Korea (MOSA/DSS) were developed. Recently process safety is one of our main research activities. Automatic hazard analyzer for continuous chemical process (AHA) was developed. New automatic hazard analyzer for both continuous and batch processes is being developed. As well we are developing risk assessment program in chemical process to give relevant emergency response plans and suggestions of protection equipment, and to evaluate effect area when accidents happen in chemical processes. Our research activities are as follows.1. Process Monitoring and Fault Diagnosis Integrated process fault diagnosis Data mining techniques Data reconciliation Gross error detection Neural network Operations support systems Knowledge-based expert system Energy management system Expert system 2. Process Control Control configurations synthesis Advanced process control strategy Controllability evaluation 3. Process Modeling, Simulation and Optimization Development of dynamic simulator Genetic algorithm based multi-objective and global optimization 4. Process Safety Automatic hazard analysis of chemical processes (AHA) Automation of safety evaluations in petrochemical industries Safety management system for hazardous material storage Development of risk assessment program in chemical process 5.Web-Base Projects 안전, 보건, 환경 분야의 data 통합 관리 핵심기술 개발 향후 제안될 국제 표준이 고려된 안전, 보건, 환경 관리의 통합 Framework 개발 웹을 통합 실시간 안전, 보건, 환경 data의 유관기관과의 선택적 공유 및 검정기술 개발 지능형 agent를 통합 생산관리시스템과의 협업 기술 개발 데이터마이닝을 통한 지속적인 안전, 보건, 환경 향상 기술 개발 Risk / benefit analysis에 기반 한 안전, 보건, 환경에서의 최적 decision making 기술 개발 안전, 보건, 환경의 인자가 고려된 최적 생산관리 기술 개발 실시간 사고대처 시스템과의 결합을 통한 통합 운용기술 개발 6.Systems Biology Metabolic engineering is defined as the directed improvement of product formation or cellular properties through the modification of specific biochemical reaction or the introduction of new one with the use of recombinant DNA technology.