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가스터빈 내의 NOx 예측을 위한 화학반응기 네트워크 모델 개발
김승한(Seunghan Kim),누엔 후 트럭(Nguyen Huu Truc),박정규(Jungkyu Park),정승채(Seungchae Jung),양시원(Siwon Yang) 대한기계학회 2015 대한기계학회 춘추학술대회 Vol.2015 No.11
In order to predict NOx and CO emission of lean premixed gas turbine, the chemical reactor network(CRN) is developed based on the computational fluid dynamics(CFD). The CRN consists of 16 chemical reactor elements which stand for different reaction zones of the combustor. The predictions of exhaust gas in this study were carried out by using CHEMKIN code and full GRI 3.0 chemical kinetic mechanism. The comparison of CRN prediction results and experimental results shows a reasonable agreement.