Gas turbine performance prediction method, device, storage medium and system

Abstract

The present invention provides a method, device, storage medium and system for predicting the performance of a gas engine. The method for predicting the performance of a gas engine includes: obtaining the model of the gas engine, component characteristic parameters of the gas engine configuration data, preset boundary parameters, performance test data and boundary data corresponding to the performance to be predicted; determining the design model of the gas engine based on the model and the preset gas engine mechanism model; correcting the component characteristic parameters of the modifiable parameter type based on the boundary parameters, the performance test data and the component characteristic parameters to determine the corrected component characteristic parameters; determining the predicted performance of the gas engine based on the corrected component characteristic parameters, the boundary data corresponding to the performance to be predicted and the design model. The gas engine performance prediction method of the present invention can predict the power and thermal efficiency of a power plant under different operating parameters, and serve as a reference for power plant operation decisions, so as to improve the overall thermal performance of the power plant operation and improve the overall economic benefits of the power plant.

Description

Technical Field

[0001] The present invention relates to the field of performance analysis systems for gas turbine power plant units, and in particular to a gas turbine performance prediction method, device, storage medium and system. Background Art

[0002] In recent years, with the Chinese government's increased focus on environmental issues and the need to limit carbon emissions, clean energy power generation technology has become a key direction for my country's power development. Natural gas-fueled gas turbines are energy-efficient, environmentally friendly, flexible, and technically reliable energy conversion devices, offering multiple social and economic benefits. Consequently, it is crucial for major power plants to implement digitalization initiatives, integrating operational data with gas turbine models to analyze and predict key plant performance.

[0003] In the existing technology, the analysis and prediction of key performance of power plants mainly rely on manual experience and judgment, and there is no accurate quantitative calculation and judgment method.

[0004] Therefore, how to intelligently analyze and predict the key performance of power plants is an urgent problem to be solved. Summary of the Invention

[0005] In view of the above-mentioned shortcomings of the prior art, the purpose of the present invention is to provide a method, device, storage medium and system for predicting gas turbine performance, so as to solve the problem in the prior art that the key performance of the power plant cannot be intelligently analyzed and predicted.

[0006] To achieve the above and other related objectives, the present invention provides a method for predicting gas engine performance, comprising the following steps:

[0007] In one embodiment of the present invention, the engine model of the gas engine, component characteristic parameters of the gas engine configuration data, preset boundary parameters, performance test data and boundary data corresponding to the performance to be predicted are obtained; the types of the component characteristic parameters include fixed parameters and modifiable parameters; based on the engine model and the preset gas engine mechanism model, the design model of the gas engine is determined; based on the boundary parameters, the performance test data and the component characteristic parameters, the component characteristic parameters of the modifiable parameter type are modified to determine the corrected component characteristic parameters; based on the corrected component characteristic parameters, the boundary data corresponding to the performance to be predicted and the design model, the predicted performance of the gas engine is determined.

[0008] In one embodiment of the present invention, the component characteristic parameters include flow characteristics, efficiency characteristics, pressure loss characteristics and pressure ratio characteristics; among them, the component characteristic parameters of the modifiable parameter type include flow characteristics and efficiency characteristics; the component characteristic parameters of the fixed parameter type include pressure loss characteristics and pressure ratio characteristics; the component characteristic parameters of the gas engine configuration data include one or more component characteristic parameters of the gas engine compressor, turbine, combustion chamber, intake system and exhaust diffuser.

[0009] In one embodiment of the present invention, the component characteristic parameters of the modifiable parameter type are modified based on the boundary parameters, the performance test data and the component characteristic parameters to determine the modified component characteristic parameters, including: taking the boundary parameters as input values; taking the component characteristic parameters of the modifiable parameter type as input values to be determined; and taking the measurement data corresponding to the component characteristic parameters of the modifiable parameter type in the performance test data as output values; based on the input values, the input values to be determined and the output values, applying a thermodynamic mechanism model to determine the modified component characteristic parameters of the modifiable parameter type; and determining the modified component characteristic parameters by combining the modified component characteristic parameters of the modifiable parameter type with the thermal parameters of the fixed parameter type.

[0010] In one embodiment of the present invention, after determining the corrected component characteristic parameters, the method further includes: determining a calibration model based on the corrected component characteristic parameters and the design model; obtaining operating data of the gas engine; and applying the calibration model based on the operating data to determine the operating performance of the gas engine.

[0011] In one embodiment of the present invention, the predicted performance of the gas engine is determined based on the corrected component characteristic parameters, the boundary data corresponding to the performance to be predicted, and the design model, including: applying the calibration model based on the boundary data and the corrected component characteristic parameters to determine the predicted performance of the gas engine.

[0012] In one embodiment of the present invention, the boundary data includes any one of: combustion engine aging data, combustion engine operating parameters, combustion engine operating environment parameters, and combustion engine component replacement characteristic values.

[0013] In one embodiment of the present invention, after determining the design model of the combustion engine, the method further includes: applying the design model based on the component characteristic parameters and the boundary parameters to determine the design performance of the combustion engine.

[0014] Correspondingly, the present invention provides a gas engine performance prediction device, comprising: an acquisition module for acquiring the gas engine model, component characteristic parameters of gas engine configuration data, preset boundary parameters, performance test data and boundary data corresponding to the performance to be predicted; the types of the component characteristic parameters include fixed parameters and modifiable parameters; a first processing module for determining the design model of the gas engine based on the engine model and the preset gas engine mechanism model; a second processing module for correcting the component characteristic parameters of the modifiable parameter type based on the boundary parameters, the performance test data and the component characteristic parameters, and determining the corrected component characteristic parameters; a determination module for determining the predicted performance of the gas engine based on the corrected component characteristic parameters, the boundary data corresponding to the performance to be predicted and the design model.

[0015] The present invention provides a storage medium on which a computer program is stored. When the program is executed by a processor, the above-mentioned combustion engine performance prediction method is realized.

[0016] The present invention provides a combustion engine performance prediction system, comprising a memory for storing a computer program; and a processor for running the computer program to implement the above-mentioned combustion engine performance prediction method.

[0017] As described above, the combustion engine performance prediction method, device, storage medium, and system of the present invention have the following beneficial effects:

[0018] (1) It can predict the power and thermal efficiency of the power plant under different operating parameters. The power plant can optimize the load distribution according to different environmental conditions to improve the overall thermal performance of the power plant operation and improve the overall economic benefits of the power plant.

[0019] (2) Performance prediction based on operating boundary conditions can be used for operation optimization, air intake filter replacement and water washing decisions, etc.

[0020] (3) It can realize real-time calculation of gas turbine component-level performance and comprehensively detect the operating status of the gas turbine. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 Shown is a flow chart of a combustion engine performance prediction method according to an embodiment of the present invention.

[0022] Figure 2 Shown is an overall schematic diagram of a combustion engine performance prediction method in one embodiment of the present invention.

[0023] Figure 3 Shown is a schematic structural diagram of a combustion engine performance prediction device in one embodiment of the present invention.

[0024] Figure 4 A combustion engine performance prediction system in one embodiment of the combustion engine performance prediction device of the present invention is shown.

[0025] Component number description

[0026] 31 Get Module

[0027] 32 First processing module

[0028] 33 Second processing module

[0029] 34 Determine module

[0030] 41 processors

[0031] 42 Memory DETAILED DESCRIPTION

[0032] The following describes the embodiments of the present invention through specific examples. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments. The details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the following embodiments and features in the embodiments can be combined with each other unless they conflict.

[0033] It should be noted that the illustrations provided in the following embodiments are merely schematic illustrations of the basic concept of the present invention. Therefore, the illustrations only show components related to the present invention and are not drawn according to the number, shape, and size of components in actual implementation. In actual implementation, the type, quantity, and proportion of each component may be changed arbitrarily, and the component layout may also be more complex.

[0034] The gas turbine performance prediction method, device, storage medium and system of the present invention can predict the power and thermal efficiency of a power plant under different operating parameters, and serve as a reference for the power plant's operating decisions. The power plant can optimize load distribution according to different environmental conditions to improve the overall thermal performance of the power plant operation and improve the overall economic benefits of the power plant; at the same time, the performance prediction based on the operating boundary conditions can be used for operation optimization, air intake filter replacement and water washing decisions, etc.; in addition, it can realize real-time calculation of gas turbine component-level performance and comprehensively detect the gas turbine operating status.

[0035] like Figure 1 As shown, in this embodiment, the combustion engine performance prediction method of the present invention includes the following steps:

[0036] Step S1: Obtain the engine model, component characteristic parameters of the engine configuration data, preset boundary parameters, performance test data, and boundary data corresponding to the performance to be predicted; the types of the component characteristic parameters include fixed parameters and modifiable parameters.

[0037] Specifically, the component characteristic parameters include flow characteristics, efficiency characteristics, pressure loss characteristics and pressure ratio characteristics; among them, the component characteristic parameters of the modifiable parameter type include flow characteristics and efficiency characteristics; the component characteristic parameters of the fixed parameter type include pressure loss characteristics and pressure ratio characteristics; the component characteristic parameters of the gas engine configuration data include one or more component characteristic parameters of the gas engine compressor, turbine, combustion chamber, intake system and exhaust diffusion end.

[0038] More specifically, the boundary data includes any one of: combustion engine aging data, combustion engine operating parameters, combustion engine operating environment parameters, and combustion engine component replacement characteristic values.

[0039] Step S2: Determine a design model of the gas turbine based on the engine model and a preset gas turbine mechanism model.

[0040] Specifically, based on the preset gas turbine mechanism model and according to the actual type of the gas turbine power plant, the design model of the gas turbine is determined.

[0041] More specifically, after determining the design model of the combustion engine, the method further includes: applying the design model based on the component characteristic parameters and the boundary parameters to determine the design performance of the combustion engine.

[0042] More specifically, the design performance of the gas turbine includes the output, efficiency, compressor outlet temperature and pressure, turbine exhaust temperature, etc. under the gas turbine design state. After the design performance is determined, these design performances are stored in the gas turbine performance database.

[0043] More specifically, a gas turbine configuration database is pre-established, and component characteristic parameters of existing gas turbines of various grades are stored in the database, wherein the grades include F-grade, small F-grade, and E-grade.

[0044] Step S3: Based on the boundary parameters, the performance test data, and the component characteristic parameters, the component characteristic parameters of the modifiable parameter type are modified to determine the modified component characteristic parameters.

[0045] Specifically, based on the component characteristic parameters and boundary parameters, the design model is applied. Although the design performance of the gas turbine can be determined, the design model and the actual operating model have errors in the manufacturing, assembly, on-site installation and commissioning of the gas turbine. As a result, the component characteristic parameters that match the design model in actual application cannot meet the needs of the scenario, that is, the component characteristic parameters need to be corrected to form the component characteristic parameters corresponding to the actual operating gas turbine. The correction process includes: taking the boundary parameters as input values; taking the component characteristic parameters of the modifiable parameter type as input values to be determined; and taking the measurement data corresponding to the component characteristic parameters of the modifiable parameter type in the performance test data as output values; based on the input values, the input values to be determined and the output values, applying the thermodynamic mechanism model to determine the modified component characteristic parameters of the modifiable parameter type; and combining the modified component characteristic parameters of the modifiable parameter type with the thermal parameters of the fixed parameter type to determine the modified component characteristic parameters.

[0046] More specifically, a gas turbine measurement database is pre-established to store performance test data and boundary data corresponding to the performance to be predicted. Performance test data refers to data obtained by a general gas turbine power plant within six months after the plant is built, through performance tests conducted in accordance with industry-established standards. For example, real-time operating data from the plant's gas turbine control system (TCS) and safety instrument system (SIS) databases are stored in the measurement database. In addition, field operating data required for model processing is written into the measurement database, typically atmospheric temperature, pressure, and humidity, compressor inlet and outlet temperature and pressure, turbine exhaust temperature and pressure, fuel flow, fuel temperature and pressure, and fuel composition. There are also parameters characterizing the gas turbine's operating status, such as gas turbine speed, de-icing system status, and rotor axial displacement.

[0047] For example, the compressor flow characteristics and efficiency characteristics used in the design model are converted into measurement values such as compressor outlet temperature, pressure, and fuel flow. The compressor outlet temperature, pressure, fuel flow, etc. are used as input values to be determined, the boundary parameters are used as input values, and the corresponding measurement values in the performance test data are used as output values. The thermodynamic mechanism model is used to inversely calculate the component characteristic parameters of the compressor outlet temperature, pressure, fuel flow, etc.

[0048] More specifically, after determining the corrected component characteristic parameters, the method further includes: determining a calibration model based on the corrected component characteristic parameters and the design model; obtaining operating data of the gas engine; and applying the calibration model based on the operating data to determine the operating performance of the gas engine. The component characteristic parameters corresponding to the calibration model are the corrected and reassembled component characteristic parameters. The gas engine operating data is used to determine actual boundary parameters; based on the actual boundary parameters and the corrected and reassembled component characteristic parameters, the calibration model is applied to determine the operating performance of the gas engine. The operating data can be pre-stored in a measurement database; and the determined operating performance can be stored in a performance database.

[0049] Step S4: Determine the predicted performance of the combustion engine based on the corrected component characteristic parameters, the boundary data corresponding to the performance to be predicted, and the design model.

[0050] Specifically, based on the boundary data and the corrected component characteristic parameters, the calibration model is applied to determine the predicted performance of the gas turbine. The predicted performance includes aging performance prediction, variable operating parameter prediction, variable environmental parameter prediction, and replacement component performance prediction; different boundary data are determined for different predicted performances. For example, when the predicted performance is aging performance prediction, the corresponding boundary data is the aging factor of the compressor, turbine efficiency, and flow rate calculated based on the operating history data of the existing gas turbine; when the predicted performance is variable operating parameter prediction, the corresponding boundary data is the operating parameters of the gas turbine, including the set exhaust temperature, compressor opening, etc.; when the predicted performance is variable environmental parameter prediction, the corresponding boundary data is the corresponding environmental parameters; when the predicted performance is replacement component performance prediction, the corresponding boundary data is the characteristic value of the replacement component, such as the characteristic value corresponding to the replacement of the air intake filter element and the turbine.

[0051] like Figure 2As shown, in this embodiment, the overall schematic diagram of the present invention corresponds to the processing of the above-mentioned steps S1 to S4. By pre-establishing a configuration database, a measurement database and a performance database of the gas engine, the model of the gas engine is obtained, and based on the model and the preset gas engine mechanism model, the design model of the gas engine is determined; the component characteristic parameters are obtained from the configuration database, and are input into the design model together with the preset boundary parameters to obtain the design performance, and the design performance is stored in the performance database; wherein, the types of component characteristic parameters include fixed parameters and modifiable parameters; then, performance test data are obtained from the measurement database, and the component characteristic parameters of the modifiable parameter type in the component characteristic parameters are modified by applying the thermodynamic mechanism model to the component characteristic parameters; a calibration model is determined by the modified component characteristic parameters and the setting model, and the operating performance of the gas engine is determined by applying the operating data and the calibration model in the measurement database, and stored in the performance database; finally, the boundary data corresponding to the performance to be predicted is obtained from the measurement database, and the predicted performance of the gas engine is determined by combining the modified component characteristic parameters and the calibration model, and stored in the performance database.

[0052] like Figure 3 As shown, in this embodiment, the combustion engine performance prediction device of the present invention includes:

[0053] An acquisition module 31 is used to acquire the engine type, component characteristic parameters of the engine configuration data, preset boundary parameters, performance test data, and boundary data corresponding to the performance to be predicted; the types of the component characteristic parameters include fixed parameters and modifiable parameters;

[0054] A first processing module 32 is configured to determine a design model of the gas turbine based on the engine type and a preset gas turbine mechanism model;

[0055] A second processing module 33 is configured to modify the component characteristic parameters of the modifiable parameter type based on the boundary parameters, the performance test data, and the component characteristic parameters, and determine the modified component characteristic parameters;

[0056] The determination module 34 is configured to determine the predicted performance of the combustion engine based on the corrected component characteristic parameters, the boundary data corresponding to the performance to be predicted, and the design model.

[0057] Among them, the component characteristic parameters include flow characteristics, efficiency characteristics, pressure loss characteristics and pressure ratio characteristics; among them, the component characteristic parameters of the modifiable parameter type include flow characteristics and efficiency characteristics; the component characteristic parameters of the fixed parameter type include pressure loss characteristics and pressure ratio characteristics; the component characteristic parameters of the gas engine configuration data include one or more component characteristic parameters of the gas engine compressor, turbine, combustion chamber, intake system and exhaust diffusion end.

[0058] The second processing module 33 is specifically used to take the boundary parameter as an input value; take the component characteristic parameter of the modifiable parameter type as an input value to be determined; and take the measurement data corresponding to the component characteristic parameter of the modifiable parameter type in the performance test data as an output value; based on the input value, the input value to be determined and the output value, apply the thermodynamic mechanism model to determine the modified component characteristic parameter of the modifiable parameter type; and determine the modified component characteristic parameter by combining the modified component characteristic parameter of the modifiable parameter type and the component thermal parameters of the fixed parameter type.

[0059] The second processing module 33 is further configured to determine a calibration model based on the corrected component characteristic parameters and the design model; obtain operating data of the gas engine; and determine operating performance of the gas engine by applying the calibration model based on the operating data.

[0060] The determination module 34 is specifically configured to apply the calibration model to determine the predicted performance of the combustion engine based on the boundary data and the corrected component characteristic parameters.

[0061] The technical features specifically implemented by the combustion engine performance prediction device of this embodiment are basically the same as the principles of each step in the combustion engine performance prediction method in Example 1, and the technical contents that are common between the method and the device will not be repeated.

[0062] The storage medium of the present invention stores a computer program, which implements the above-mentioned combustion engine performance prediction method when executed by a processor.

[0063] like Figure 4 As shown, in this embodiment, the combustion engine performance prediction system of the present invention includes: a processor 41 and a memory 42.

[0064] The memory 42 is used to store computer programs.

[0065] The memory 42 includes various media capable of storing program codes, such as ROM, RAM, magnetic disk, USB flash drive, memory card or optical disk.

[0066] The processor 41 is connected to the memory 42 and is used to execute the computer program stored in the memory 42 so that the electronic device executes the above-mentioned combustion engine performance prediction system.

[0067] Preferably, the above-mentioned processor 41 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

[0068] In summary, the gas turbine performance prediction method and device of the present invention can predict the power and thermal efficiency of a power plant under different operating parameters. This allows the power plant to optimize load distribution according to different environmental conditions, thereby improving the overall thermal performance and economic benefits of the power plant. Furthermore, performance prediction based on operating boundary conditions can be used for operational optimization, intake filter replacement, and water washing decisions. Furthermore, it can achieve real-time performance calculation at the gas turbine component level and comprehensively monitor the gas turbine's operating status. Therefore, the present invention effectively overcomes the various shortcomings of the prior art and possesses high industrial value.

[0069] The above embodiments are merely illustrative of the principles and effects of the present invention and are not intended to limit the present invention. Anyone skilled in the art may modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by one of ordinary skill in the art without departing from the spirit and technical principles disclosed herein are intended to be covered by the claims of the present invention.

Claims

1. A method for predicting combustion engine performance, characterized in that: The combustion engine performance prediction method comprises the following steps: Obtaining the engine model, component characteristic parameters of the engine configuration data, preset boundary parameters, performance test data, and boundary data corresponding to the performance to be predicted; the types of the component characteristic parameters include fixed parameters and modifiable parameters; the component characteristic parameters of the engine configuration data include characteristic parameters of one or more components of the engine compressor, turbine, combustion chamber, intake system, and exhaust diffuser; the boundary data includes any one or more of engine aging data, engine operating parameters, engine operating environment parameters, and engine component replacement characteristic values; Determining a design model of the gas engine based on the engine model and a preset gas engine mechanism model; applying the design model to determine design performance of the gas engine based on the component characteristic parameters and the boundary parameters; the design performance of the gas engine including any one or more of the following data: output, efficiency, compressor outlet temperature and pressure, and turbine exhaust temperature under the gas engine design state; Based on the boundary parameter, the performance test data and the component characteristic parameter, the component characteristic parameter of the modifiable parameter type is modified to determine the modified component characteristic parameter; the method includes: taking the boundary parameter as an input value; taking the component characteristic parameter of the modifiable parameter type as an input value to be determined; and taking the measurement data in the performance test data corresponding to the component characteristic parameter of the modifiable parameter type as an output value; based on the input value, the input value to be determined and the output value, applying a thermodynamic mechanism model for back calculation to determine the modified component characteristic parameter of the modifiable parameter type; and determining the modified component characteristic parameter by combining the modified component characteristic parameter of the modifiable parameter type with the thermal parameters of the fixed parameter type. The component characteristic parameters include: flow characteristics, efficiency characteristics, pressure loss characteristics and pressure ratio characteristics; the component characteristic parameters of the modifiable parameter type include: flow characteristics and efficiency characteristics; the component characteristic parameters of the fixed parameter type include: pressure loss characteristics and pressure ratio characteristics; Determining predicted performance of the combustion engine based on the corrected component characteristic parameters, the boundary data corresponding to the performance to be predicted, and the design model; the predicted performance includes aging performance prediction, variable operating parameter prediction, variable environmental parameter prediction, and replacement component performance prediction; different boundary data are determined for different predicted performances; The design performance of the combustion engine is determined by applying the design model based on the component characteristic parameters and the boundary parameters.

2. The method according to claim 1, characterized in that After determining the corrected component characteristic parameters, the method further includes: Determining a calibration model based on the corrected component characteristic parameters and the design model; Obtaining the operating data of the gas turbine; Based on the operating data, the calibration model is applied to determine the operating performance of the combustion engine.

3. The method according to claim 2, characterized in that The step of determining the predicted performance of the combustion engine based on the corrected component characteristic parameters, the boundary data corresponding to the performance to be predicted, and the design model includes: Based on the boundary data and the corrected component characteristic parameters, the calibration model is applied to determine the predicted performance of the combustion engine.

4. A combustion engine performance prediction device, characterized in that: include: an acquisition module, configured to acquire the engine type, component characteristic parameters of the engine configuration data, preset boundary parameters, performance test data, and boundary data corresponding to the performance to be predicted; the component characteristic parameters include fixed parameters and modifiable parameters; the component characteristic parameters of the engine configuration data include characteristic parameters of one or more of the engine compressor, turbine, combustion chamber, intake system, and exhaust diffuser; and the boundary data include any one or more of engine aging data, engine operating parameters, engine operating environment parameters, and engine component replacement characteristic values; a first processing module configured to determine a design model of the gas engine based on the engine model and a preset gas engine mechanism model; and to determine design performance of the gas engine by applying the design model based on the component characteristic parameters and the boundary parameters; the design performance of the gas engine including any one or more of the following data: output, efficiency, compressor outlet temperature and pressure, and turbine exhaust temperature under the gas engine design state; The second processing module is configured to modify the component characteristic parameters of the modifiable parameter type based on the boundary parameters, the performance test data, and the component characteristic parameters to determine the modified component characteristic parameters; the module comprises: taking the boundary parameters as input values; taking the component characteristic parameters of the modifiable parameter type as input values to be determined; and taking the measurement data corresponding to the component characteristic parameters of the modifiable parameter type in the performance test data as output values; based on the input values, the input values to be determined, and the output values, applying a thermodynamic mechanism model for back calculation to determine the modified component characteristic parameters of the modifiable parameter type; and determining the modified component characteristic parameters by combining the modified component characteristic parameters of the modifiable parameter type with the thermal parameters of the fixed parameter type. The component characteristic parameters include: flow characteristics, efficiency characteristics, pressure loss characteristics and pressure ratio characteristics; the component characteristic parameters of the modifiable parameter type include: flow characteristics and efficiency characteristics; the component characteristic parameters of the fixed parameter type include: pressure loss characteristics and pressure ratio characteristics; A determination module is used to determine the predicted performance of the gas turbine based on the corrected component characteristic parameters, the boundary data corresponding to the performance to be predicted, and the design model; the predicted performance includes aging performance prediction, variable operating parameter prediction, variable environmental parameter prediction, and replacement component performance prediction; different boundary data are determined corresponding to different predicted performances; based on the component characteristic parameters and the boundary parameters, the design model is applied to determine the design performance of the gas turbine.

5. A storage medium storing program instructions, wherein: When the program instructions are executed, the steps of the combustion engine performance prediction method according to any one of claims 1 to 3 are implemented.

6. A combustion engine performance prediction system, characterized by: The method comprises a memory for storing a computer program and a processor for running the computer program to implement the steps of the method for predicting the performance of a combustion engine as claimed in any one of claims 1 to 3.

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