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Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 131))

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Abstract

In the present analysis combustion products of a 30 MW cogeneration cycle are studied on the basis of their concentration with change in cycle pressure ratio (CR). Mathematical modeling is done on the basis of exergy, energy and mass balance across the components. A computer program is made in EES (engineering equation solver) software and different parameters are studied for the analysis. For the present analysis air is considered to be a combination of N2 (77.48%), O2 (20.59%), CO2 (.03%) and H2O (1.9%). After combustion their concentration is changed. From the results it is observed that with change in cycle pressure ratio the concentration of N2 and O2 decreases and that of CO2 and H2O increases. Mass of CO2 in combustion products is directly proportional to the mass of fuel injected in combustion chamber. With increase in cycle pressure ratio / compression ratio (CR) fuel consumption decreases upto a pressure ratio of 15 and after CR 15 it starts increasing again. As the fuel is the combination of the carbon and hydrogen, after burning with oxygen it generates heat energy, CO2 and H2O. Although upto a CR 15 mass of CO2decreases in combustion products, but due to change in the concentration of other constituents, concentration of CO2is increased. That is why concentration of H2O and CO2 in combustion product increases and that of oxygen decreases. From the results it is also concluded that increase in pressure ratio not only increases the efficiency of GT cycle but generates a concentration of N2, O2, CO2 and H2O in such a manner that specific heat (Cp) of combustion gas is increased.

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Correspondence to Nikhil Dev .

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© 2012 Springer India Pvt. Ltd.

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Dev, N., Samsher, Kachhwaha, S.S. (2012). Simulation of Gas Turbine Combustion Chamber for CO2 Emission Minimization. In: Deep, K., Nagar, A., Pant, M., Bansal, J. (eds) Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011. Advances in Intelligent and Soft Computing, vol 131. Springer, New Delhi. https://doi.org/10.1007/978-81-322-0491-6_24

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  • DOI: https://doi.org/10.1007/978-81-322-0491-6_24

  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-0490-9

  • Online ISBN: 978-81-322-0491-6

  • eBook Packages: EngineeringEngineering (R0)

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