@article { author = {Hashemi, Seyed Abdolmahdi and Fathi, Mahdi}, title = {Optimization the Efficiency of Gas Turbines for Air Pollution Reduction}, journal = {Environmental Energy and Economic Research}, volume = {3}, number = {2}, pages = {119-127}, year = {2019}, publisher = {Environmental Energy and Economic Research}, issn = {2538-4988}, eissn = {2676-4997}, doi = {10.22097/eeer.2019.177429.1076}, abstract = {Increasing concerns about energy and emissions from fuel consumption in gas turbines has attracted many researchers to protect the environment and reduce pollutants in the world. The main objective of this paper is to investigate the increasing efficiency of three-stroke gas turbine operation based on the technical analysis of the operation of three-axis gas turbine cycles with non-design conditions in partial loads, taking into account environmental criteria and sustainable development. Three-axial gas turbine has been studied and thermodynamic modeling and the database has been formed and completed for all constant and variable parameters. Then, the objective function (increased efficiency and gas turbine power) is defined and the objective function is optimized by connecting the databases and using the genetic algorithm. After thermodynamic modeling for different values of the position of the input guide blades and the position of the three-stroke gas turbine drainage positions, the efficiency of the gas turbine and the efficiency of genetic algorithm increased. Based on the results, NOx emissions were compared to the various partial gas loads of the gas turbine. It was observed that with the help of this optimization, NOx emissions were reduced. In this sense, using this optimization has been instrumental in environmental protection. The application of this research in the country's power industry and gas turbine power plants is used to increase the efficiency and power and hence reduce air pollution.}, keywords = {Pollutants,Nitrogen Oxides,Gas Turbines,Functional Efficiency,Air pollution}, url = {https://www.eeer.ir/article_88253.html}, eprint = {https://www.eeer.ir/article_88253_b6b51bc28b83020588fe29c473ca5b28.pdf} }