Development of a digital twin for the performance prediction of an industrial gas turbine

The present project was conducted under a collaboration between Polytechnic of Turin and EthosEnergy S.p.A., a company operating in the turbomachinery field through design, production, and maintenance of its components. The main objective of this study is to model a gas turbine unit through AxSTREAM solver families. The investigated gas turbine is code named PG6581B (Frame 6B) and analyzed via AxSTREAM, a software platform for multidisciplinary design, analysis and optimization which adopts an integrated and streamlined approach suited forThe present project was conducted under a collaboration between Polytechnic of Turin and EthosEnergy S.p.A., a company operating in the turbomachinery field through design, production, and maintenance of its components. The main objective of this study is to model a gas turbine unit through AxSTREAM solver families. The investigated gas turbine is code named PG6581B (Frame 6B) and analyzed via AxSTREAM, a software platform for multidisciplinary design, analysis and optimization which adopts an integrated and streamlined approach suited for turbomachinery design. This family comprises different programs assessing turbomachinery through various methods. In this thesis, AxSTREAM solver has been utilized to model both the compressor and the turbine, while the cooling network was carried out by AxSTREAM NET. Ultimately, to integrate and automate the full machinery design process AxSTREAM ION was employed and turbine, compressor, cooling flows, burner etc. connected and modeled. This software makes it more convenient to understand how the system works, especially in off design conditions. By integrating the full machinery design process, it allows exchanging data among various solvers of AxSTREAM family, iterating between design and analysis steps for new product development as well as visualizing the digital version of a machine to investigate reliability and equipment under real world conditions. Moreover, we examined the gas turbine unit under design conditions and, subsequently, in off design mode, by focusing on the change of environmental temperature at the compressor inlet as a first cause of off-design. The behavior of the GTU when the inlet temperature changes is already reckoned and the data is used to validate the VGTU. turbomachinery design. This family comprises different programs assessing turbomachinery through various methods. In this thesis, AxSTREAM solver has been utilized to model both the compressor and the turbine, while the cooling network was carried out by AxSTREAM NET. Ultimately, to integrate and automate the full machinery design process AxSTREAM ION was employed and turbine, compressor, cooling flows, burner etc. connected and modeled. This software makes it more convenient to understand how the system works, especially in off design conditions. By integrating the full machinery design process, it allows exchanging data among various solvers of AxSTREAM family, iterating between design and analysis steps for new product development as well as visualizing the digital version of a machine to investigate reliability and equipment under real world conditions. Moreover, we examined the gas turbine unit under design conditions and, subsequently, in off design mode, by focusing on the change of environmental temperature at the compressor inlet as a first cause of off-design. The behavior of the GTU when the inlet temperature changes is already reckoned and the data is used to validate the VGTU.