GREAT NECK WATER POLLUTION CONTROL DISTRICT NASSAU COUNTY, NEW YORK MICROTURBINE INSTALLATION FEASIBILITY STUDY

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GREAT NECK WATER POLLUTION CONTROL DISTRICT NASSAU COUNTY, NEW YORK MICROTURBINE INSTALLATION FEASIBILITY STUDY ( great-neck-water-pollution-control-district-nassau-county-ne )

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Supercritical Carbon Dioxide Circulated EGS Combined with IGCC in New Mexico 4.11 4.12 4.13 4.14 Through the application of equation 4.11, these chemical relationships provided the basis of the heat evolved from each individual reaction. The Hydrogen was considered to be at its adiabatic flame temperature of 3473K, while the temperature of nitrogen formation was assumed to be at the maximum firing temperature of the turbine; 1700K. This method yielded a quantitative maximum Nitrogen dilution amount required, although in practice it would likely be less, which was proven through qualitative analysis. The molar flow rate was then multiplied by the specific heats evolved from specified reactions, which yielded the heat flow rate evolved or stifled from each separate reaction. Through the utilization of Excel‘s goal seek function; to set the calculated amount of system heat flow equal to the defined maximum allowable heat flow by varying the amount of Nitrogen throughput. Once the amount of nitrogen flow was obtained, a ̳ChemKin‘ simulation for a defined plug flow reactor at the given gas turbine outlet temperature, 565 °C, in order to determine the amount of Nitrous Oxide that will be in the gas turbine effluent stream. A plug flow reactor was chosen because it most closely simulates real-world continuous flow reaction parameters. 4.5.3 Results As shown in table 8, the maximum amount of nitrogen that this specific turbine model requires for dilution is 7.16 Kmol/sec, which is approximately 361 metric tons/day; an amount well within the capabilities of our air separation unit to achieve. In practice, this amount will likely be substantially less, for this analysis assumed that the nitrous oxides formed at 1700K(1427 °C), which would vary based on nitrogen inlet and combustion effluent temperatures. The qualitative analysis of this trend is displayed in Figure 47 Penn State University | 4.5 Power Generation 76

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