Modification for Combustion Chamber of V94.2 SIEMENS Gas Turbine in Diffusion Mode

Autor: Amir Raja, Aram Afkhamy Shirazpour, Mehrdad Peiman
Rok vydání: 2019
Předmět:
Zdroj: 2019 International Power System Conference (PSC).
DOI: 10.1109/psc49016.2019.9081475
Popis: Numerical simulation applications are extended significantly in 21th century. With respect to the improvement of computers hardware, capabilities to investigate on complicate models have become achievable. In this research a comprehensive 3D numerical simulation for combustion chamber of V94.2 SIEMENS Gas Turbine in full-scale considering the details in diffusion mode is performed. Concerning many problems reported form operation unit of power plants, a simulation is implemented to analyze the fluid flow and heat transfer and to offer further prescriptions to ameliorate the performance of combustion, uniformity of combustion in all eight burners and vibrations reduction that are originated from combustion process. Therefore after a precise simulation of fluid flow and combustion, diagnosing the ingredients of poor combustion is performed an executable modification in plenum is suggested. According to the results, modification on plenum has had considerable effect on uniformity of air flow distribution and as a consequence on maximum flame temperature of each burner. Uniformity of air flow and temperature distribution in combustion chamber and equality of equivalence ratio in each burner would have significant effect on pollution reduction. This project is performed with the cooperation of Kerman Power Plant and most of the data that are used for simulation are gathered from the operation unit and the results of simulation are validated. Also comprehensive boundary conditions are calculated using THERMOFLEX software in off-design operation condition. Regarding this issue the precision of simulation outcomes are confirmed and besides the exact value of the parameters, the simulation was able to accurately estimate the trend of exit temperature variation according to the variable operating conditions.
Databáze: OpenAIRE