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Modeling and Thermodynamic Analysis of Gas Turbine Cycle with Regenerator

By: Aminjan, Kiumars Khani.
Publisher: New Delhi Journals Pub 2018Edition: Vol.4(1), Jan-Jun.Description: 34-39p.Subject(s): Mechanical EngineeringOnline resources: Click here In: International journal of thermal energy and applicationsSummary: Today, gas turbines have a major share in energy production. Therefore, it is important to know the factors that affect the performance of gas turbines. One of the ways to increase the gas turbine efficiency is to use a regenerator. In this type of cycle, the exhaust gases from the turbine are used to preheat the air before entering the combustion chamber. The main objective of this research is to investigate the effect of different parameters such as mass flow rate, exhaust gas temperature from combustion chamber and compressor pressure ratio on the performance of gas turbine with regenerator. For analysis, EES software has been used. EES is a powerful programmer in the field of heat and fluid science, and has been considered by some popular scientific assemblies in recent years. The results indicate that each of the parameters has a great impact on the cycle performance. By comparing their effects, optimum cycle conditions can be achieved.
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Today, gas turbines have a major share in energy production. Therefore, it is important to know the factors that affect the performance of gas turbines. One of the ways to increase the gas turbine efficiency is to use a regenerator. In this type of cycle, the exhaust gases from the turbine are used to preheat the air before entering the combustion chamber. The main objective of this research is to investigate the effect of different parameters such as mass flow rate, exhaust gas temperature from combustion chamber and compressor pressure ratio on the performance of gas turbine with regenerator. For analysis, EES software has been used. EES is a powerful programmer in the field of heat and fluid science, and has been considered by some popular scientific assemblies in recent years. The results indicate that each of the parameters has a great impact on the cycle performance. By comparing their effects, optimum cycle conditions can be achieved.

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