Chemical Reactor Network Application to Emissions Prediction for Industrial DLE Gas Turbines

ABSTRACT A chemical reactor network (CRN) is developed and applied to a dry low emissions (DLE) industrial gas turbine combustor with the purpose of predicting exhaust emissions. The development of the CRN model is guided by reacting flow computational fluid dynamics (CFD) using the University of Washington (UW) eight-step global mechanism. The network consists of 31 chemical reactor elements representing the different flow and reaction zones of the combustor. The CRN is exercised for full load operating conditions with variable pilot flows ranging from 35% to 200% of the neutral pilot. The NO X and the CO emissions are predicted using the full GRI 3.0 chemical kinetic mechanism in the CRN. The CRN results closely match the actual engine test rig emissions output. Additional work is ongoing and the results from this ongoing research will be presented in future publications

Social actors and designing the civil society of Eastern Europe

Il volume oubblica le prospettive sui progetti per la societ\ue0 civile nei paesi gi\ue0 socialisti reali. Esso \ue8 diviso in due parti La prima parte analizza il passaggio da "controsistema" a societ\ue0 civile di individui, networks sociali, e movimenti. La seconda parte approfondisce il ruolo degli attori sociali nel progettare una societ\ue0 civil