Economic performance evaluation method and system for ventilation and heat dissipation scheme of high-speed train equipment compartment

Abstract

The invention relates to the technical field of high-speed train energy-saving control, and discloses an economic performance evaluation method and system for a ventilation and heat dissipation scheme of a high-speed train equipment compartment. According to the method, the comprehensive economic index with the sum of the train aerodynamic resistance energy consumption amplification and the fan equivalent energy consumption as the core is constructed, the optimal scheme is further determined according to the comprehensive economic index, and quantitative evaluation of the energy-saving performance of the equipment compartment ventilation and heat dissipation optimization system is achieved. According to the method, the coupling relation between aerodynamic resistance and fan energy consumption is established, and traditional separated aerodynamic analysis and electric energy consumption calculation are unified in the same framework, so that the comprehensive influence of different ventilation and heat dissipation optimization schemes on the energy consumption of the whole vehicle can be comprehensively reflected, and the energy-saving effects of the different optimization schemes can be accurately measured.

Description

Technical Field

[0001] This invention relates to the field of energy-saving control technology for high-speed trains, and in particular to an economic performance evaluation method and system for ventilation and heat dissipation schemes in high-speed train equipment compartments. Background Technology

[0002] As high-speed trains continue to increase in speed, the heat generated by electronic components in the train's equipment compartment increases significantly, making the ventilation and heat dissipation system a crucial guarantee for the reliability of train operation. Currently, high-speed train equipment compartments employ various optimized ventilation and heat dissipation schemes. Among them, "running air cooling" technology utilizes the airflow generated during train operation to drive cooling air, replacing or assisting mechanical fans for heat dissipation. However, while running air cooling can reduce fan operating power, it alters the overall aerodynamic characteristics of the train to some extent, leading to an increase in total train drag and thus increasing traction energy consumption. Traditional studies typically analyze aerodynamic drag or fan power consumption independently, lacking a unified comprehensive economic evaluation index and calculation method, making it difficult to accurately measure the energy-saving effects of different air cooling schemes. Summary of the Invention

[0003] This invention provides an economic performance evaluation method and system for ventilation and heat dissipation schemes in high-speed train equipment compartments, in order to solve the problem that it is difficult to accurately measure the energy-saving effect of different air-cooling schemes in the prior art.

[0004] Firstly, this application provides an economic performance evaluation method for a ventilation and heat dissipation scheme for a high-speed train equipment compartment, including: S1: Obtain train operation data; S2: Calculate the train's operating energy consumption based on the train operation data; S3: Calculate the total pressure of the train's fans; S4: Calculate the equivalent energy consumption of the fan based on the total pressure of the fan in the train; S5: Calculate the comprehensive economic index based on the train's operating energy consumption and the fan's equivalent energy consumption, and quantitatively evaluate and compare different equipment compartment ventilation and heat dissipation optimization schemes based on the comprehensive economic index to obtain the optimal equipment compartment ventilation and heat dissipation optimization scheme.

[0005] Optionally, the train operation data includes: aerodynamic drag, operating speed, fan air volume, and fan efficiency under different air-cooling arrangements.

[0006] Optionally, S2 includes: Based on the train operation data and the train's operating resistance, the train's operating energy consumption is calculated, satisfying the following relationship:

[0007] in, For train operation energy consumption, The original power consumption of the train without the optimization scheme. For aerodynamic drag, For running speed.

[0008] Optionally, S3 includes: Based on the characteristic curves of the wind turbine, a polynomial relationship is obtained by fitting experimental or performance test data. For different wind turbine models, the characteristic curve forms are as follows:

[0009] in, For the full pressure of the fan, , , These are the coefficients obtained by fitting experimental data. This refers to the fan's air volume.

[0010] Optionally, the calculation of the equivalent energy consumption of the wind turbine satisfies the following relationship:

[0011] in, For fan air volume, For the full pressure of the fan, For fan efficiency.

[0012] Optionally, the calculation of the comprehensive economic index satisfies the following relationship:

[0013] In the formula, To optimize the overall economic indicators of the plan, This is the equivalent energy consumption of the wind turbine. Energy consumption for train operation.

[0014] like >0 indicates that the optimized solution is generally energy-efficient; if If the value is less than 0, it means that following the optimization plan will lead to an increase in energy consumption.

[0015] Optionally, determining the optimal layout of the optimized system based on the comprehensive performance indicators includes: Compare the economic indicators of different ventilation and heat dissipation optimization systems or other additional energy-saving and consumption-reducing auxiliary system layouts, and select the comprehensive economic indicator. The solution with the highest value is considered the optimal design.

[0016] Secondly, this application also provides an economic performance evaluation system for a ventilation and heat dissipation scheme for a high-speed train equipment compartment, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the method described in the first aspect above.

[0017] The present invention has the following beneficial effects: The economic performance evaluation method for the ventilation and heat dissipation scheme of the high-speed train equipment compartment in this application constructs a comprehensive economic index with the sum of the increase in train aerodynamic drag energy consumption and the equivalent energy consumption of the fan as the core. Further based on comprehensive economic indicators By identifying the optimal solution, a quantitative evaluation of the energy-saving performance of the equipment compartment ventilation and heat dissipation optimization system was achieved. This method establishes a coupling relationship between aerodynamic drag and fan energy consumption, unifying the traditionally separate aerodynamic analysis and energy consumption calculation within the same framework. This allows for a comprehensive reflection of the combined impact of different ventilation and heat dissipation optimization schemes on the overall vehicle energy consumption and accurately measures the energy-saving effects of different air-cooling solutions.

[0018] In addition to the objectives, features and advantages described above, the present invention has other objectives, features and advantages.

[0019] The present invention will now be described in further detail with reference to the figures. Attached Figure Description

[0020] The accompanying drawings, which form part of this application, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an undue limitation of the invention. In the drawings: Figure 1 This is a flowchart of an economic performance evaluation method for a ventilation and heat dissipation scheme for a high-speed train equipment compartment according to a preferred embodiment of the present invention. Figure 2 This is a three-dimensional structural diagram of a high-speed train according to an embodiment of the present invention. Detailed Implementation

[0021] The technical solution of the present invention will be clearly and completely described below. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0022] Unless otherwise defined, the technical or scientific terms used in this invention shall have the ordinary meaning understood by one of ordinary skill in the art to which this invention pertains. The terms "first," "second," and similar terms used in this invention do not indicate any order, quantity, or importance, but are merely used to distinguish different components. Similarly, the terms "an" or "a," and similar terms, do not indicate a quantity limitation, but rather indicate the presence of at least one.

[0023] It should be understood that, in order to address the lack of a unified quantitative standard for the economic evaluation index of the running air-cooling system in the prior art, this application provides an economic performance evaluation of the ventilation and heat dissipation scheme for the equipment compartment of a high-speed train, so as to quantitatively reflect the impact of different air-cooling arrangements on the energy consumption and economic benefits of the whole vehicle, and realize energy-saving and consumption-reducing design optimization.

[0024] Please see Figure 1 This application provides an economic performance evaluation method for ventilation and heat dissipation solutions in high-speed train equipment compartments, including: S1: Obtain train operation data; S2: Calculate the train's operating energy consumption based on the train operation data; S3: Calculate the total pressure of the train's fans; S4: Calculate the equivalent energy consumption of the fan based on the total pressure of the fan in the train; S5: Calculate the comprehensive economic index based on the train's operating energy consumption and the fan's equivalent energy consumption, and quantitatively evaluate and compare different equipment compartment ventilation and heat dissipation optimization schemes based on the comprehensive economic index to obtain the optimal equipment compartment ventilation and heat dissipation optimization scheme.

[0025] In this embodiment, train operation data can be obtained through CFD simulation, actual vehicle / wind tunnel, or other tests. The obtained operating parameters include aerodynamic drag under different air-cooling arrangements. Running speed Fan air volume Fan efficiency Parameters such as these.

[0026] The economic performance evaluation method for the ventilation and heat dissipation scheme of the high-speed train equipment compartment described above can be applied to, for example... Figure 2 The high-speed train shown includes an equipment compartment 1, a heating device 2, an air inlet 3, an independent air duct for the high-speed train equipment compartment 4, and an air outlet 5.

[0027] The economic performance evaluation method for the ventilation and heat dissipation scheme of the high-speed train equipment compartment in this application constructs a comprehensive economic index with the sum of the increase in train aerodynamic drag energy consumption and the equivalent energy consumption of the fan as the core. Further based on comprehensive economic indicators The optimal solution was determined, enabling a quantitative evaluation of the energy-saving performance of the equipment compartment ventilation and heat dissipation optimization scheme. This method establishes a coupling relationship between aerodynamic drag and fan energy consumption, unifying the traditionally separate aerodynamic analysis and power consumption calculation within the same framework. This allows for a comprehensive reflection of the combined impact of different ventilation and heat dissipation optimization schemes on the overall vehicle energy consumption and accurately measures the energy-saving effects of different air-cooling schemes.

[0028] First, it is worth noting that the parameters and their corresponding units used in this application are defined as follows: F Train aerodynamic drag (N); V Train speed (m / s); e d0 Power consumption of the original train model (kW); Q Fan air volume (m³) 3 / h); P : Total pressure of the fan (Pa); H The overall efficiency of the fan is usually taken as 0.83.

[0029] Optionally, S2 includes: Based on the train operation data and the train's operating resistance, the train's operating energy consumption is calculated, satisfying the following relationship:

[0030] in, For train operation energy consumption, The original power consumption of the train without the optimization scheme. For aerodynamic drag, For running speed.

[0031] Specifically, rolling resistance can be calculated based on mass and rolling resistance coefficient:

[0032] in, The train's running mass (kg) is used. The acceleration due to gravity (m / s²) It is the rolling resistance coefficient (which can be a constant or a function of speed).

[0033] When the longitudinal slope of the line is (Dimensionless, e.g., 10‰ = 0.01) When the slope resistance term (gradient resistance) is used, it can be calculated using the following formula:

[0034] Other additional resistances can be used to characterize the combined losses from curves, equipment additions, and mechanical transmissions. An implementable expression is given below:

[0035] in The additional resistance fitting coefficient can be determined based on experiments or existing data.

[0036] Taking into account the resistance term, the train's operating energy consumption The following relationship must be satisfied:

[0037] in This is the vector sum of all resistance terms.

[0038] It is worth noting that the total pressure of the fan... Based on the characteristic curves of the wind turbines, the characteristic curve parameters differ among different wind turbine models. Polynomial fitting can be performed using experimental data or performance test results for each model. In this application, the characteristic curve form is as follows:

[0039] in, For the full pressure of the fan, , , These are the coefficients obtained by fitting experimental data. This refers to the fan's air volume.

[0040] It is worth explaining that the characteristic curve of a fan is a function of the total pressure and volumetric flow rate of the fan.

[0041] Alternatively, in other feasible implementations, the wind turbine characteristic curves can be refitted based on performance data provided by different models or manufacturers, and the parameter form can be determined by a polynomial or experimental interpolation model to adapt to different wind turbine equipment.

[0042] Optionally, the calculation of the equivalent energy consumption of the wind turbine satisfies the following relationship:

[0043] in, For fan air volume, For the full pressure of the fan, For fan efficiency.

[0044] Optionally, the calculation of the comprehensive economic index satisfies the following relationship:

[0045] In the formula, To optimize the overall economic indicators of the plan, This is the equivalent energy consumption of the wind turbine. Energy consumption for train operation.

[0046] like >0 indicates that the optimized solution is generally energy-efficient; if If the value is less than 0, it means that the optimization scheme has led to an increase in energy consumption.

[0047] In a changeable way, economic indicators It can be rewritten into a dimensionless form according to application requirements, which facilitates horizontal comparative analysis of different speed ranges or vehicle types.

[0048] Specifically, economic indicators The power consumption can be normalized relative to the baseline operating condition to define a dimensionless economic index. for:

[0049] in: The comprehensive economic index (kW) obtained from the aforementioned calculations. e d0 To select the train operating power consumption (kW) under the baseline operating condition, the operating power consumption of the original train model under the same speed conditions can be taken.

[0050] Specifically, determining the optimal layout of the ventilation and heat dissipation optimization system based on the aforementioned comprehensive performance indicators includes: Compare the economic indicators of different ventilation and heat dissipation optimization systems or other additional energy-saving and consumption-reducing auxiliary system layouts, and select the comprehensive economic indicator. The solution with the highest value is considered the optimal design.

[0051] Thus, through comprehensive economic indicators The values ​​compare the economic differences of different schemes under different ventilation arrangements, providing a quantitative basis for duct structure optimization and energy-saving design.

[0052] This application also provides an economic performance evaluation system for a ventilation and heat dissipation scheme for a high-speed train equipment compartment, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the above-described method. This economic performance evaluation system for a high-speed train equipment compartment ventilation and heat dissipation scheme can implement various embodiments of the above-described economic performance evaluation method for optimizing the ventilation and heat dissipation system of a high-speed train equipment compartment, and can achieve the same beneficial effects; further details are omitted here.

[0053] The above description is merely a specific embodiment of this disclosure, but the scope of protection of this disclosure is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this disclosure should be included within the scope of protection of this disclosure. Therefore, the scope of protection of this disclosure should be determined by the scope of the claims.

Claims

1. An economic performance evaluation method for a ventilation and heat dissipation scheme for a high-speed train equipment compartment, characterized in that, include: S1: Obtain train operation data; S2: Calculate the train's operating energy consumption based on the train operation data; S3: Calculate the total pressure of the train's fans; S4: Calculate the equivalent energy consumption of the fan based on the total pressure of the fan in the train; S5: Calculate the comprehensive economic index based on the train's operating energy consumption and the fan's equivalent energy consumption, and quantitatively evaluate and compare different equipment compartment ventilation and heat dissipation optimization schemes based on the comprehensive economic index to obtain the optimal equipment compartment ventilation and heat dissipation optimization scheme.

2. The method for evaluating the economic performance of the ventilation and heat dissipation scheme for high-speed train equipment compartments according to claim 1, characterized in that, The train operation data includes: aerodynamic resistance, operating speed, fan air volume, and fan efficiency under different air-cooling arrangements.

3. The method for evaluating the economic performance of the ventilation and heat dissipation scheme for high-speed train equipment compartments according to claim 1, characterized in that, S2 includes: Based on the train operation data and the train's operating resistance, the train's operating energy consumption is calculated, satisfying the following relationship: in, For train operation energy consumption, The original power consumption of the train without the optimization scheme. For aerodynamic drag, For running speed.

4. The method for evaluating the economic performance of the ventilation and heat dissipation scheme for high-speed train equipment compartments according to claim 1, characterized in that, S3 includes: Based on the characteristic curves of the wind turbine, a polynomial relationship is obtained by fitting experimental or performance test data. For different wind turbine models, the characteristic curve forms are as follows: in, For the full pressure of the fan, , , These are the coefficients obtained by fitting experimental data. This refers to the fan's air volume.

5. The method for evaluating the economic performance of the ventilation and heat dissipation scheme for high-speed train equipment compartments according to claim 1, characterized in that, The calculation of the equivalent energy consumption of the wind turbine satisfies the following relationship: in, For fan air volume, For the full pressure of the fan, For fan efficiency.

6. The method for evaluating the economic performance of the ventilation and heat dissipation scheme for high-speed train equipment compartments according to claim 1, characterized in that, The calculation of the comprehensive economic index satisfies the following relationship: In the formula, To optimize the overall economic indicators of the plan, This is the equivalent energy consumption of the wind turbine. Energy consumption for train operation; like >0 indicates that the optimized solution is generally energy-efficient; if If the value is less than 0, it means that the optimization scheme has led to an increase in energy consumption.

7. The method for evaluating the economic performance of the ventilation and heat dissipation scheme for high-speed train equipment compartments according to claim 1, characterized in that, The optimal ventilation and heat dissipation optimization system is determined based on the aforementioned comprehensive performance indicators, including: Compare the economic indicators of different ventilation and heat dissipation optimization systems or other additional energy-saving and consumption-reducing auxiliary system layouts, and select the comprehensive economic indicator. The solution with the highest value is considered the optimal design.

8. An economic performance evaluation system for a ventilation and heat dissipation scheme for a high-speed train equipment compartment, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of any of the methods described in claims 1-7.

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