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GTPsim 2.3.3.9
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[Image: 2212150612530105.jpg]


GTPsim 2.3.3.9
File size: 24.9 MB


GTPsim is a system performance modelling environment for gas turbines and related energy systems. Any gas turbine engine can be modelled by arranging and connecting component models in a corresponding configuration using a drag- & drop interface. Precise prediction of complex secondary air flows and heat transfer in gas turbine cycles outperforms conventional cycle tools.

Component models include the main gas path components of the turbomachinery, rotor system elements and components for cooling and ventilation (e.g. of the secondary air system (SAS)). In addition to GTPsim' s standard zero-dimensional components models, one-dimensional models can be embedded such as turbomachinery mean line codes, 1-D heat exchanger / recuperator models and combustor multi reactor models. User defined correlations and restrictions can be added to the model parameters.
The interaction between the main gas path and the SAS is calculated in a full conjugate manner. With the optional parallel calculations of different gas and SAS paths, the execution speed is kept high. Heat transfer and other thermal effects can be added by using an extensive thermal network.
All model elements and inter-connections are graphically represented in the GTPsim model diagram.

The component models and other elements are selected from various libraries and can be configured by using user friendly data entry windows.

A wizard function is provided to rapidly configure models of customary gas turbine configurations taking the user through a number of steps specifying basic engine design data. Simulation results can be presented in various formats including tabular and graphical form, including operating curves in component maps, also multi-curve plots and carpet plots. All output can be exported to files or the Windows clipboard in CSV-format (tables) and EMF- and BMP-formats (graphs).

In addition, GTPsim includes a comprehensive simulation project management functionality, thus providing an optimal overview of various model versions, simulation run cases and simulation results.





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