2018
DOI: 10.1016/j.fuel.2018.04.093
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Multi-objective CFD optimizations of water spray injection in gas-turbine combustors

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Cited by 29 publications
(5 citation statements)
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“…Motsamai 1 , et al used CFD design runs with a Dynamic-Q optimization algorithm to improve the exit temperature profile of a combustor. Several studies [2][3][4][5] have used Reynolds Averaged Navier Stokes (RANS) based CFD simulations combined with the Design of Experiments (DOE) algorithms to improve combustor performance by varying geometric and operational design variables. Automated CFD design study workflow presented by Briones 6 , et al and Thomas 7 , et al is used for the design space exploration and optimization of a gas turbine combustor.…”
Section: Introductionmentioning
confidence: 99%
“…Motsamai 1 , et al used CFD design runs with a Dynamic-Q optimization algorithm to improve the exit temperature profile of a combustor. Several studies [2][3][4][5] have used Reynolds Averaged Navier Stokes (RANS) based CFD simulations combined with the Design of Experiments (DOE) algorithms to improve combustor performance by varying geometric and operational design variables. Automated CFD design study workflow presented by Briones 6 , et al and Thomas 7 , et al is used for the design space exploration and optimization of a gas turbine combustor.…”
Section: Introductionmentioning
confidence: 99%
“…Combustion is currently used as the main method for the production of energy from fossil fuels. However, during combustion, harmful substances are formed, such as carbon monoxide, nitrogen oxides, soot, unburned hydrocarbons, and others [1][2][3]. These substances are hazardous to human health and the environment.…”
Section: Introductionmentioning
confidence: 99%
“…Farokhipour et al (2018) used an Eulerian-Lagrangian model is implemented to study the process of water spray injection inside gas turbine combustors. Amani et al (2018) studied the water spray injection process in a natural-gas-fueled gas turbine combustor numerically using an Eulerian-Lagrangian formulation, and the combined effect of different design variables, including the swirl number, water injection mass flow rate, injection partitioning between a pre-and a post-flame injector, and injection direction, are investigated on several combustor performance objectives by systematic multi-objective optimizations.…”
Section: Introductionmentioning
confidence: 99%