Method, system and equipment for optimizing number of flow guide plates of power station auxiliary machine pipe network and medium

Abstract

The invention relates to a method, system and device for optimizing the number of flow guide plates of a power station auxiliary machine pipe network and a medium, and the method comprises the steps that a first three-dimensional model and a second three-dimensional model of a bent pipe structure in the power station auxiliary machine pipe network are established, and the second three-dimensional model is provided with a plurality of flow guide plates; performing computational fluid dynamics simulation based on the first three-dimensional model to obtain a first simulation result of the bent pipe structure, and performing computational fluid dynamics simulation based on the second three-dimensional model when the flow guide plates in different numbers are arranged to obtain a second simulation result when the flow guide plates in different numbers are arranged; and on the basis of the first simulation result and the second simulation result, the on-way pressure loss reduction rate, the local pressure loss reduction rate and the speed deviation reduction rate when different numbers of guide plates are arranged on the bent pipe structure are calculated, and therefore the target guide plate number of the power station auxiliary machine pipe network is determined. Therefore, the optimal configuration of the number of the flow guide plates is determined through fluid dynamic simulation, the uniformity of the fluid speed in the pipeline is improved, the system energy consumption is reduced, and the equipment stability and the service life are improved.

Description

Technical Field

[0001] The present application relates to the technical field of flow field optimization of auxiliary pipe networks of power plants, and in particular to a method, system, equipment and medium for optimizing the number of guide plates in auxiliary pipe networks of power plants. Background Art

[0002] Existing power plant auxiliary piping networks are often equipped with right-angle or rounded bends. Airflow through these bends often experiences separation, backflow, and localized vortices, significantly increasing flow resistance and significantly deviating from a uniform cross-sectional velocity distribution. This not only increases system energy consumption and fan loads, but also easily causes uneven stress and vibration in downstream piping and heat exchange components, accelerating localized wear and affecting equipment stability and lifespan.

[0003] In order to improve the flow performance in the bend, engineering projects often add single or multiple guide plates in the corner area of ​​the bend to guide the airflow to turn along the wall, so as to suppress flow separation and reduce velocity deviation. It is worth noting that although the number of guide plates has a positive effect on improving the flow performance, the performance improvement brought by it has a "diminishing returns" trend, that is, as the number of guide plates increases, the improvement in drag loss and velocity deviation gradually decreases. After reaching a certain number, it is difficult to obtain significant benefits by further adding plates. If this "diminishing returns" relationship is not reasonably evaluated, blindly adding guide plates will lead to increased structural complexity, manufacturing costs and maintenance difficulties, and even have a negative impact on the local flow field.

[0004] Therefore, although adding guide plates can improve the flow field to a certain extent, the selection of the number of guide plates currently relies mostly on empirical judgment or simple analogy with similar projects. There is a lack of systematic design process and performance optimization criteria and methods, especially the lack of quantitative analysis and guidance on the law of diminishing returns between the number of guide plates and flow performance improvements. Summary of the Invention

[0005] The present application provides a method, system, equipment and medium for optimizing the number of guide plates in a power plant auxiliary pipeline network, which solves the problem of lack of a systematic design process and performance optimization for selecting the number of guide plates. Through precise CFD simulation, the optimal configuration of the number of guide plates is determined, avoiding the uncertainty and inefficiency in traditional empirical design, improving the uniformity of fluid velocity in the pipeline, reducing the energy consumption of the system, and improving the stability and life of the equipment. It can effectively guide the design and modification of power plant auxiliary pipeline networks and has broad application prospects.

[0006] A first aspect of the present application provides a method for optimizing the number of guide plates in a power plant auxiliary pipeline network, comprising the following steps: establishing a first three-dimensional model and a second three-dimensional model of a bend pipe structure in the power plant auxiliary pipeline network, wherein the second three-dimensional model is provided with a plurality of guide plates; performing computational fluid dynamics simulation based on the first three-dimensional model to obtain a first simulation result of the bend pipe structure, and performing computational fluid dynamics simulation based on the second three-dimensional model with different numbers of guide plates to obtain a second simulation result when different numbers of guide plates are set; calculating the along-line pressure loss reduction rate, local pressure loss reduction rate and speed deviation reduction rate of the bend pipe structure when different numbers of guide plates are set based on the first simulation result and the second simulation result when different numbers of guide plates are set, and determining the target number of guide plates in the power plant auxiliary pipeline network according to the along-line pressure loss reduction rate, local pressure loss reduction rate and speed deviation reduction rate when different numbers of guide plates are set for the bend pipe structure.

[0007] Optionally, the first simulation result includes the first inlet and outlet pressure drop, the pressure drop before and after the bend corner, and the standard deviation of the velocity of the downstream section of the bend corner. The second simulation result when different numbers of guide plates are set includes the second inlet and outlet pressure drop, the guide section pressure drop and the velocity standard deviation when different numbers of guide plates are set in the bend structure.

[0008] Optionally, the along-the-line pressure loss reduction rate, local pressure loss reduction rate and speed deviation reduction rate of the bend structure when different numbers of guide plates are set are calculated based on the first simulation result and the second simulation result when different numbers of guide plates are set, including: obtaining the along-the-line pressure loss reduction rate of the bend structure when different numbers of guide plates are set based on the difference between the first inlet and outlet pressure drops and the second inlet and outlet pressure drops; obtaining the local pressure loss reduction rate of the bend structure when different numbers of guide plates are set based on the difference between the pressure drops before and after the bend corner and the pressure drop of the guide section; obtaining the speed deviation reduction rate of the bend structure when different numbers of guide plates are set based on the difference between the velocity standard deviation of the downstream section of the bend corner and the velocity standard deviation.

[0009] Optionally, when performing computational fluid dynamics simulation on the curved pipe structure, the method includes: closing the Navier-Stokes equations using a Realizable k-ε turbulence model, and performing fluid dynamics simulation on the curved pipe structure using the closed Navier-Stokes equations.

[0010] Optionally, the closed Navier-Stokes equation is:

[0011]

[0012] Where ρ is the fluid density, k is the turbulent kinetic energy, and u j is the average speed, xj is the jth direction in the Cartesian coordinate system, G k is the turbulent kinetic energy generation term caused by the mean velocity gradient, G b is the turbulent kinetic energy generated by buoyancy, ε is the turbulent kinetic energy dissipation rate, Y M is the contribution of wave expansion in compressible turbulence to the overall dissipation rate, S k and Sε are user-defined source terms, σ ε is the turbulent Prandtl number of ε, σ k is the turbulent Prandtl number k, S is the modulus of the strain rate tensor, C2, C 1ε 、C 3ε , σ k , σ ε is a constant, ν is the kinematic viscosity, and η is a dimensionless parameter reflecting the relationship between S, k and ε. ij is the average strain rate, μ t is the turbulent viscosity, C μ is the correlation coefficient of strain rate.

[0013] Optionally, when establishing the first three-dimensional model and the second three-dimensional model of the curved pipe structure in the auxiliary pipe network of the power plant, it includes: meshing the corner area in the first three-dimensional model, and meshing the corner area and the guide plate in the second three-dimensional model.

[0014] The second aspect of the present application provides a guide plate number optimization system for a power station auxiliary pipeline network, including: a construction module for establishing a first three-dimensional model and a second three-dimensional model of a bend pipe structure in the power station auxiliary pipeline network, wherein the second three-dimensional model is provided with multiple guide plates; a simulation module for performing computational fluid dynamics simulation based on the first three-dimensional model to obtain a first simulation result of the bend pipe structure, and performing computational fluid dynamics simulation based on the second three-dimensional model with different numbers of guide plates to obtain a second simulation result when different numbers of guide plates are set; a quantity determination module for calculating the along-line pressure loss reduction rate, local pressure loss reduction rate and speed deviation reduction rate of the bend pipe structure when different numbers of guide plates are set based on the first simulation result and the second simulation result when different numbers of guide plates are set, and determining the target number of guide plates for the power station auxiliary pipeline network according to the along-line pressure loss reduction rate, local pressure loss reduction rate and speed deviation reduction rate when different numbers of guide plates are set for the bend pipe structure.

[0015] Optionally, the first simulation result includes the first inlet and outlet pressure drop, the pressure drop before and after the bend corner, and the standard deviation of the velocity of the downstream section of the bend corner. The second simulation result when different numbers of guide plates are set includes the second inlet and outlet pressure drop, the guide section pressure drop and the velocity standard deviation when different numbers of guide plates are set in the bend structure.

[0016] Optionally, the quantity determination module is also used to: obtain the along-the-line pressure loss reduction rate of the bend structure when different numbers of guide plates are set based on the difference between the first inlet and outlet pressure drops and the second inlet and outlet pressure drops; obtain the local pressure loss reduction rate of the bend structure when different numbers of guide plates are set based on the difference between the pressure drops before and after the bend corner and the pressure drop of the guide section; obtain the velocity deviation reduction rate of the bend structure when different numbers of guide plates are set based on the difference between the velocity standard deviation of the downstream section of the bend corner and the velocity standard deviation.

[0017] Optionally, the simulation module is further configured to: close the Navier-Stokes equations using a Realizable k-ε turbulence model, and perform fluid dynamics simulation on the curved pipe structure using the closed Navier-Stokes equations.

[0018] Optionally, the closed Navier-Stokes equation is:

[0019]

[0020] Where ρ is the fluid density, k is the turbulent kinetic energy, and u j is the average speed, x j is the jth direction in the Cartesian coordinate system, G k is the turbulent kinetic energy generation term caused by the mean velocity gradient, G b is the turbulent kinetic energy generated by buoyancy, ε is the turbulent kinetic energy dissipation rate, Y M is the contribution of wave expansion in compressible turbulence to the overall dissipation rate, S k and Sε are user-defined source terms, σ ε is the turbulent Prandtl number of ε, σ k is the turbulent Prandtl number k, S is the modulus of the strain rate tensor, C2, C 1ε 、C 3ε , σ k , σ ε is a constant, ν is the kinematic viscosity, and η is a dimensionless parameter reflecting the relationship between S, k and ε. ij is the average strain rate, μ t is the turbulent viscosity, C μ is the correlation coefficient of strain rate.

[0021] Optionally, when establishing the first three-dimensional model and the second three-dimensional model of the curved pipe structure in the auxiliary pipeline network of the power plant, the construction module is also used to: encrypt the mesh of the corner area in the first three-dimensional model, and encrypt the mesh of the corner area and the guide plate in the second three-dimensional model.

[0022] The third aspect of the present application provides an electronic device, comprising: a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor executes the program to implement the method for optimizing the number of guide plates in the auxiliary pipeline network of a power station as described in the above embodiment.

[0023] The fourth aspect of the present application provides a computer-readable storage medium having a computer program stored thereon, which is executed by a processor to implement the method for optimizing the number of guide plates in the auxiliary pipeline network of a power station as described in the above embodiment.

[0024] In the above embodiment, a first three-dimensional model and a second three-dimensional model of the bend structure in the power plant auxiliary pipeline network are established, wherein the second three-dimensional model is provided with a plurality of guide plates; computational fluid dynamics simulation is performed based on the first three-dimensional model to obtain a first simulation result of the bend structure, and computational fluid dynamics simulation is performed based on the second three-dimensional model with different numbers of guide plates to obtain second simulation results when different numbers of guide plates are set; based on the first simulation result and the second simulation result with different numbers of guide plates, the along-line pressure loss reduction rate, local pressure loss reduction rate and speed deviation reduction rate of the bend structure with different numbers of guide plates are calculated, and the target number of guide plates in the power plant auxiliary pipeline network is determined according to the along-line pressure loss reduction rate, local pressure loss reduction rate and speed deviation reduction rate of the bend structure with different numbers of guide plates. This solves the problem of lack of systematic design process and performance optimization in the selection of the number of guide plates. Through precise CFD simulation, the optimal configuration of the number of guide plates is determined, avoiding the uncertainty and inefficiency in traditional empirical design, improving the uniformity of fluid velocity in the pipeline, reducing the energy consumption of the system, and improving the stability and life of the equipment. It can effectively guide the design and modification of power plant auxiliary equipment pipelines and has broad application prospects.

[0025] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0027] Figure 1 This is a flow chart of a method for optimizing the number of guide plates in a power station auxiliary equipment pipe network according to an embodiment of the present application;

[0028] Figure 2 This is a flow chart of a method for optimizing the number of guide plates in a power plant auxiliary equipment pipe network according to one embodiment of the present application;

[0029] Figure 3This is a schematic diagram of an original pipeline according to one embodiment of the present application;

[0030] Figure 4 Schematic diagram of a curved pipe structure when N* is 4 guide plates according to an embodiment of the present application;

[0031] Figure 5 A velocity cloud diagram of a middle section of an original elbow structure according to an embodiment of the present application;

[0032] Figure 6 This is a velocity cloud diagram of the middle section when N* is 4 guide plates according to one embodiment of the present application;

[0033] Figure 7 Schematic diagram of a system for optimizing the number of guide plates in a power plant auxiliary equipment pipe network according to an embodiment of the present application;

[0034] Figure 8 Schematic diagram of the structure of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0035] The following describes in detail embodiments of the present application, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0036] The following describes a method, system, device, and medium for optimizing the number of guide plates in a power plant auxiliary pipe network according to an embodiment of the present application with reference to the accompanying drawings. In response to the problem of a lack of a systematic design process and performance optimization for the number of guide plates selected in the above-mentioned background technology, the present application provides a method for optimizing the number of guide plates in a power plant auxiliary pipe network, wherein a first three-dimensional model and a second three-dimensional model of a bend pipe structure in the power plant auxiliary pipe network are established, wherein the second three-dimensional model is provided with a plurality of guide plates; a computational fluid dynamics simulation is performed based on the first three-dimensional model to obtain a first simulation result of the bend pipe structure; a computational fluid dynamics simulation is performed based on the second three-dimensional model with different numbers of guide plates to obtain second simulation results with different numbers of guide plates; based on the first simulation result and the second simulation result with different numbers of guide plates, the along-line pressure loss reduction rate, the local pressure loss reduction rate, and the velocity deviation reduction rate of the bend pipe structure with different numbers of guide plates are calculated, and a target number of guide plates in the power plant auxiliary pipe network is determined based on the along-line pressure loss reduction rate, the local pressure loss reduction rate, and the velocity deviation reduction rate of the bend pipe structure with different numbers of guide plates. This solves the problem of lack of systematic design process and performance optimization in the selection of the number of guide plates. Through precise CFD simulation, the optimal configuration of the number of guide plates is determined, avoiding the uncertainty and inefficiency in traditional empirical design, improving the uniformity of fluid velocity in the pipeline, reducing the energy consumption of the system, and improving the stability and life of the equipment. It can effectively guide the design and modification of power plant auxiliary equipment pipelines and has broad application prospects.

[0037] Specifically, Figure 1 A flow chart of a method for optimizing the number of guide plates in a power station auxiliary equipment network provided in an embodiment of the present application.

[0038] like Figure 1 As shown, the method for optimizing the number of guide plates in the auxiliary pipe network of the power station includes the following steps:

[0039] In step S101, a first three-dimensional model and a second three-dimensional model of a curved pipe structure in a power station auxiliary equipment pipe network are established, wherein the second three-dimensional model is provided with a plurality of guide plates.

[0040] The bent pipe structure includes a right-angle bent pipe or a rounded-angle bent pipe.

[0041] Specifically, the present application establishes a three-dimensional model of the curved pipe structure of the auxiliary equipment pipeline network of the power station, constructs a first three-dimensional model for the curved pipe structure without guide plates, and constructs a second three-dimensional model for the curved pipe structure with different numbers of guide plates. For example, a second three-dimensional model of the curved pipe structure with 1 guide plate is constructed, a second three-dimensional model of the curved pipe structure with 2 guide plates is constructed, a second three-dimensional model of the curved pipe structure with 3 guide plates is constructed... and a second three-dimensional model of the curved pipe structure with N number of guide plates is constructed.

[0042] Optionally, in some embodiments, when establishing the first three-dimensional model and the second three-dimensional model of the curved pipe structure in the auxiliary pipe network of the power plant, it includes: meshing the corner area in the first three-dimensional model, and meshing the corner area and the guide plate in the second three-dimensional model.

[0043] Specifically, when establishing the first three-dimensional model and the second three-dimensional model of the elbow structure in the auxiliary equipment pipeline network of the power station, mesh division is performed, and the mesh of the corner area of ​​the first three-dimensional model is encrypted, and the corner area and the guide plate in the second three-dimensional model are locally encrypted.

[0044] In step S102, computational fluid dynamics simulation is performed based on the first three-dimensional model to obtain a first simulation result of the curved pipe structure, and computational fluid dynamics simulation is performed based on the second three-dimensional model with different numbers of guide plates to obtain a second simulation result with different numbers of guide plates.

[0045] Optionally, in some embodiments, when performing computational fluid dynamics simulation on the curved pipe structure, the method includes: closing the Navier-Stokes equations using the Realizable k-ε turbulence model, and performing fluid dynamics simulation on the curved pipe structure using the closed Navier-Stokes equations.

[0046] Optionally, in some embodiments, the closed Navier-Stokes equations are:

[0047]

[0048] Where ρ is the fluid density, k is the turbulent kinetic energy, and u j is the average speed, x j is the jth direction in the Cartesian coordinate system, G k is the turbulent kinetic energy generation term caused by the mean velocity gradient, G b is the turbulent kinetic energy generated by buoyancy, ε is the turbulent kinetic energy dissipation rate, Y M is the contribution of wave expansion in compressible turbulence to the overall dissipation rate, S k and Sε are user-defined source terms, σ ε is the turbulent Prandtl number of ε, σ k is the turbulent Prandtl number k, S is the modulus of the strain rate tensor, C2, C 1ε 、C 3ε , σ k , σ ε is a constant, ν is the kinematic viscosity, and η is a dimensionless parameter reflecting the relationship between S, k and ε. ij is the average strain rate, μ t is the turbulent viscosity, C μis the correlation coefficient of strain rate.

[0049] Among them, in some embodiments, the first simulation result includes the first inlet and outlet pressure drop, the pressure drop before and after the bend corner, and the standard deviation of the velocity of the downstream section of the bend corner; the second simulation result when different numbers of guide plates are set includes the second inlet and outlet pressure drop, the guide section pressure drop and the velocity standard deviation when different numbers of guide plates are set in the bend structure.

[0050] Specifically, the embodiment of the present application uses the Navier-Stokes equations to perform CFD simulation on the elbow structure without the guide plate, and obtains the total inlet and outlet pressure drop (i.e., the first inlet and outlet pressure drop) ΔP0 under the reference state, the total pressure drop before and after the elbow corner ΔPlocal,0, and the standard deviation of the cross-sectional velocity downstream of the elbow corner σ0, which are used to characterize the resistance loss and velocity non-uniformity. It should be noted that the boundary conditions of the CFD simulation are the mass flow inlet, the pressure outlet and the no-slip wall, and the CFD simulation selects the steady-state pressure-velocity coupling fully implicit coupled algorithm.

[0051] Multiple guide plates are sequentially arranged in the corner area of ​​the elbow, and CFD simulation is performed using the Navier-Stokes equations under each arrangement condition to obtain the corresponding second inlet and outlet pressure drop ΔPN, guide section pressure drop ΔPlocal,N, and velocity standard deviation σN.

[0052] When "using the Realizable k-ε turbulence model to close the Navier-Stokes equations and using the closed Navier-Stokes equations for CFD simulation", the Navier-Stokes equations for incompressible fluid are expressed as follows:

[0053]

[0054] Where ρ is the fluid density, u is the velocity, t is the time, p is the pressure, μ is the dynamic viscosity, μ t is the turbulent viscosity, g is the acceleration due to gravity, and F is the body force.

[0055] In step S103, based on the first simulation result and the second simulation result when different numbers of guide plates are set, the along-the-line pressure loss reduction rate, the local pressure loss reduction rate and the speed deviation reduction rate when different numbers of guide plates are set in the bend structure are calculated, and the target number of guide plates for the power station auxiliary pipeline network is determined according to the along-the-line pressure loss reduction rate, the local pressure loss reduction rate and the speed deviation reduction rate when different numbers of guide plates are set in the bend structure.

[0056] Optionally, in some embodiments, the along-the-line pressure loss reduction rate, local pressure loss reduction rate and speed deviation reduction rate of the bend structure when different numbers of guide plates are set are calculated based on the first simulation result and the second simulation result when different numbers of guide plates are set, including: obtaining the along-the-line pressure loss reduction rate of the bend structure when different numbers of guide plates are set based on the difference between the first inlet and outlet pressure drops and the second inlet and outlet pressure drops; obtaining the local pressure loss reduction rate of the bend structure when different numbers of guide plates are set based on the difference between the pressure drops before and after the bend corner and the pressure drop of the guide section; obtaining the speed deviation reduction rate of the bend structure when different numbers of guide plates are set based on the difference between the velocity standard deviation of the downstream section of the bend corner and the velocity standard deviation.

[0057] It can be understood that according to the first inlet and outlet pressure drop ΔP0 and the second inlet and outlet pressure drop ΔP N The difference between the values ​​of ΔP and ΔP is used to obtain the pressure loss reduction rate of the elbow structure when different numbers of guide plates are set. local,0 and the pressure drop in the diversion section ΔP local,N The difference between the values ​​of σ0 and σ0 is used to obtain the local pressure loss reduction rate of the elbow structure when different numbers of guide plates are set. N The difference between the two values ​​is used to obtain the velocity deviation reduction rate of the elbow structure when different numbers of guide plates are set.

[0058] The specific calculation formula is: along the resistance loss reduction rate = ((ΔP0-ΔP N ) / ΔP0)×100%;

[0059] Local resistance loss reduction rate = ((ΔP local,0 -ΔP local,N ) / ΔP local,0 )×100%;

[0060] Speed ​​deviation reduction rate = ((σ0-σ N ) / σ0)×100%.

[0061] By analyzing the performance improvement changes brought about by the along-the-pipe pressure loss reduction rate, local pressure loss reduction rate, and velocity deviation reduction rate with the increase of the number of guide plates N, the inflection point N* of diminishing returns at which the performance improvement tends to saturation is determined, and the number of guide plates N* is used as the optimal number of guide plates arranged for the elbow structure. For example, a table of the along-the-pipe pressure loss reduction rate, local pressure loss reduction rate, and velocity deviation reduction rate of the elbow structure with different numbers of guide plates is obtained. When the along-the-pipe pressure loss reduction rate, local pressure loss reduction rate, and velocity deviation reduction rate of the elbow structure are all less than the preset values, the corresponding number of guide plates obtained from the constructed table is the target number of guide plates for the auxiliary pipe network of the power station.

[0062] In order to enable those skilled in the art to further understand the method for optimizing the number of guide plates of the auxiliary pipe network of the power station in the embodiment of the present application, the following is a detailed description with reference to specific embodiments. Figure 2 shown.

[0063] 1) Establish a three-dimensional model of the curved pipe structure of the power station auxiliary equipment pipeline network;

[0064] Specifically, the three-dimensional model of the curved pipe structure is based on a section of pipe at the outlet of a primary fan in a power station. Multiple three-dimensional geometric models with 0 to 6 guide plates were established using three-dimensional modeling software. Figure 3 This is a schematic diagram of the original elbow structure without guide plates. Figure 4 Schematic diagram of the elbow structure with four guide plates added.

[0065] 2) Using the Navier-Stokes equation, CFD simulation is performed on the elbow structure without the guide plate to obtain the total pressure drop ΔP0 at the inlet and outlet under the reference state and the total pressure drop ΔP before and after the elbow corner. local,0 and the standard deviation of the velocity in the downstream section of the elbow corner, σ0, which is used to characterize the resistance loss and velocity non-uniformity;

[0066] Specifically, before using the Navier-Stokes equations to perform CFD simulation on a curved pipe structure without guide plates, meshing is required, with a total of approximately 890,000 meshes.

[0067] The model and boundary conditions were set in Fluent software. The turbulence model was selected as Realizable k-ε, the inlet was a mass flow rate of 66.9 kg / s, the outlet was a pressure outlet boundary condition, and the wall was a no-slip wall condition.

[0068] Without setting the guide plate, the CFD simulation was performed using the Navier-Stokes equation, and the simulation results were as follows:

[0069] The total pressure drop of the first inlet and outlet ΔP0=155.18Pa;

[0070] Total pressure drop before and after the elbow corner ΔP local,0 =74.311Pa;

[0071] The standard deviation of the outlet section velocity σ0 = 5.9268 m / s.

[0072] 3) Multiple guide plates are sequentially arranged in the bend corner area, where the number of guide plates N is an integer between 1 and 6. CFD simulation is performed using the Navier-Stokes equation under each arrangement condition to obtain the total pressure drop ΔP corresponding to each different number of guide plates. N , pressure drop in the diversion section ΔP local,N, velocity standard deviation σ N ;

[0073] Specifically, before using the Navier-Stokes equations to perform CFD simulation on a curved pipe structure without guide plates, meshing is required, with a total mesh size of approximately 1 million.

[0074] The model and boundary conditions were set in Fluent software. The turbulence model was selected as Realizable k-ε, the inlet was a mass flow rate of 66.9 kg / s, the outlet was a pressure outlet boundary condition, and the wall was a no-slip wall condition.

[0075] At the corners of the elbow, 1, 2, 3, 4, 5, and 6 guide plates were installed in sequence. CFD simulation was performed using Navier-Stokes. The following simulation results were obtained for each simulation:

[0076] The total pressure drop ΔP of the second inlet and outlet corresponding to each different number of guide plates N ;

[0077] Total pressure drop before and after the elbow corner ΔP local,N ;

[0078] Standard deviation of outlet section velocity σ N ;

[0079] 4) The total inlet and outlet pressure drop, the total pressure drop before and after the bend, and the standard deviation of the velocity in the downstream section of the bend obtained for different numbers of guide plates were plotted in a table, and three performance improvement indicators were calculated: the reduction rate of the drag loss along the way, the reduction rate of the local drag loss, and the reduction rate of the velocity deviation;

[0080] Specifically, based on the total inlet and outlet pressure drop ΔP when the number of guide plates is 0 to 6 N , Total pressure drop before and after the elbow corner ΔP local,N , standard deviation of outlet section velocity σ N Three performance improvement metrics are calculated:

[0081] Pressure loss reduction rate along the process = ((ΔP0-ΔP N ) / ΔP0)×100%;

[0082] Local pressure loss reduction rate = ((ΔP_local_0 - ΔP_local(N)) / ΔP_local_0) × 100%;

[0083] Speed ​​deviation reduction rate = ((σ0-σ(N)) / σ0) × 100%;

[0084] From this, we can obtain a table of performance indicators of the elbow structure with different numbers of guide plates after CFD simulation, as shown in Table 1:

[0085] Table 1

[0086]

[0087]

[0088] 5) By analyzing the performance improvement rate changes of various performance indicators as the number of guide plates N increases, the inflection point of diminishing returns N* where the performance improvement tends to saturate is determined;

[0089] Specifically, the judgment criteria are based on the fact that the improvement of the three performance improvement indicators is lower than the preset threshold ε (ε = 6% in this embodiment). As can be seen from the table above, when the number of deflectors is 4, the reduction rate of the drag loss along the way is improved by 64.92%-61.98% = 2.94% compared to the number of deflectors is 3, the reduction rate of the local drag loss is improved by 50.14%-48.51% = 1.64%, and the reduction rate of the speed deviation is improved by 68.83%-63.74% = 5.09%, all of which are less than 6%. Therefore, the inflection point of diminishing returns N* = 4, where the performance improvement tends to saturate, is determined.

[0090] 6) Determine the number of guide plates N*=4 as the optimal number of guide plates for the elbow structure. As shown in Table 1, the resistance loss when N*=4 is significantly reduced compared to the original elbow structure. Figure 5 and Figure 6 As shown, Figure 5 This is the velocity cloud diagram of the middle section of the original earthenware jar structure. Figure 6 The velocity cloud diagram of the middle section when N*=4 guide plates is added. The uniformity of the overall velocity field in the pipeline is greatly improved when N*=4.

[0091] According to the method for optimizing the number of guide plates in the auxiliary pipeline network of a power plant proposed in an embodiment of the present application, a first three-dimensional model and a second three-dimensional model of the curved pipe structure in the auxiliary pipeline network of the power plant are established, wherein the second three-dimensional model is provided with multiple guide plates; computational fluid dynamics simulation is performed based on the first three-dimensional model to obtain a first simulation result of the curved pipe structure, and computational fluid dynamics simulation is performed based on the second three-dimensional model with different numbers of guide plates to obtain second simulation results when different numbers of guide plates are set; based on the first simulation result and the second simulation result with different numbers of guide plates, the along-the-line pressure loss reduction rate, local pressure loss reduction rate and speed deviation reduction rate of the curved pipe structure with different numbers of guide plates are calculated, and the target number of guide plates for the auxiliary pipeline network of the power plant is determined according to the along-the-line pressure loss reduction rate, local pressure loss reduction rate and speed deviation reduction rate when different numbers of guide plates are set for the curved pipe structure. This solves the problem of lack of systematic design process and performance optimization in the selection of the number of guide plates. Through precise CFD simulation, the optimal configuration of the number of guide plates is determined, avoiding the uncertainty and inefficiency in traditional empirical design, improving the uniformity of fluid velocity in the pipeline, reducing the energy consumption of the system, and improving the stability and life of the equipment. It can effectively guide the design and modification of power plant auxiliary equipment pipelines and has broad application prospects.

[0092] Next, a system for optimizing the number of guide plates in a power plant auxiliary network according to an embodiment of the present application will be described with reference to the accompanying drawings.

[0093] Figure 7 It is a block diagram of a system for optimizing the number of guide plates in a power station auxiliary equipment pipeline network according to an embodiment of the present application.

[0094] like Figure 7 As shown, the guide plate quantity optimization system 10 for the auxiliary equipment pipe network of the power station includes: a construction module 100, a simulation module 200 and a quantity determination module 300.

[0095] Among them, the construction module 100 is used to establish a first three-dimensional model and a second three-dimensional model of the bend pipe structure in the power plant auxiliary pipeline network, wherein the second three-dimensional model is provided with multiple guide plates; the simulation module 200 is used to perform computational fluid dynamics simulation based on the first three-dimensional model to obtain a first simulation result of the bend pipe structure, and perform computational fluid dynamics simulation based on the second three-dimensional model with different numbers of guide plates to obtain a second simulation result when different numbers of guide plates are set; the quantity determination module 300 is used to calculate the along-line pressure loss reduction rate, local pressure loss reduction rate and speed deviation reduction rate of the bend pipe structure when different numbers of guide plates are set based on the first simulation result and the second simulation result when different numbers of guide plates are set, and determine the target number of guide plates in the power plant auxiliary pipeline network according to the along-line pressure loss reduction rate, local pressure loss reduction rate and speed deviation reduction rate when different numbers of guide plates are set for the bend pipe structure.

[0096] Optionally, in some embodiments, the first simulation result includes the first inlet and outlet pressure drop, the pressure drop before and after the bend corner, and the standard deviation of the velocity of the downstream section of the bend corner, and the second simulation result when different numbers of guide plates are set includes the second inlet and outlet pressure drop, the guide section pressure drop and the velocity standard deviation when different numbers of guide plates are set in the bend structure.

[0097] Optionally, in some embodiments, the quantity determination module 300 is further used to: obtain the along-the-line pressure loss reduction rate of the bend structure when different numbers of guide plates are set based on the difference between the first inlet and outlet pressure drops and the second inlet and outlet pressure drops; obtain the local pressure loss reduction rate of the bend structure when different numbers of guide plates are set based on the difference between the pressure drops before and after the bend corner and the pressure drop of the guide section; obtain the velocity deviation reduction rate of the bend structure when different numbers of guide plates are set based on the difference between the velocity standard deviation of the downstream section of the bend corner and the velocity standard deviation.

[0098] Optionally, in some embodiments, the simulation module 200 is further configured to: close the Navier-Stokes equations using a Realizable k-ε turbulence model, and perform fluid dynamics simulation on the curved pipe structure using the closed Navier-Stokes equations.

[0099] Optionally, in some embodiments, the closed Navier-Stokes equations are:

[0100]

[0101] Where ρ is the fluid density, k is the turbulent kinetic energy, and u j is the average speed, x j is the jth direction in the Cartesian coordinate system, G k is the turbulent kinetic energy generation term caused by the mean velocity gradient, G b is the turbulent kinetic energy generated by buoyancy, ε is the turbulent kinetic energy dissipation rate, Y M is the contribution of wave expansion in compressible turbulence to the overall dissipation rate, S k and Sε are user-defined source terms, σ ε is the turbulent Prandtl number of ε, σ k is the turbulent Prandtl number k, S is the modulus of the strain rate tensor, C2, C 1ε 、C 3ε , σ k , σ ε is a constant, ν is the kinematic viscosity, and η is a dimensionless parameter reflecting the relationship between S, k and ε. ij is the average strain rate, μ t is the turbulent viscosity, C μ is the correlation coefficient of strain rate.

[0102] Optionally, in some embodiments, when establishing the first three-dimensional model and the second three-dimensional model of the curved pipe structure in the auxiliary pipe network of the power plant, the construction module 100 is also used to: encrypt the mesh of the corner area in the first three-dimensional model, and encrypt the mesh of the corner area and the guide plate in the second three-dimensional model.

[0103] It should be noted that the above explanation of the embodiment of the method for optimizing the number of guide plates in the auxiliary equipment piping network of a power station is also applicable to the system for optimizing the number of guide plates in the auxiliary equipment piping network of a power station of this embodiment, and will not be repeated here.

[0104] According to the guide plate number optimization system for the power plant auxiliary pipeline network proposed in the embodiment of the present application, a first three-dimensional model and a second three-dimensional model of the bend pipe structure in the power plant auxiliary pipeline network are established, wherein the second three-dimensional model is provided with multiple guide plates; computational fluid dynamics simulation is performed based on the first three-dimensional model to obtain a first simulation result of the bend pipe structure, and computational fluid dynamics simulation is performed based on the second three-dimensional model with different numbers of guide plates to obtain second simulation results when different numbers of guide plates are set; based on the first simulation result and the second simulation result when different numbers of guide plates are set, the along-line pressure loss reduction rate, local pressure loss reduction rate and speed deviation reduction rate of the bend pipe structure when different numbers of guide plates are set are calculated, and the target number of guide plates for the power plant auxiliary pipeline network is determined according to the along-line pressure loss reduction rate, local pressure loss reduction rate and speed deviation reduction rate when different numbers of guide plates are set for the bend pipe structure. This solves the problem of lack of systematic design process and performance optimization in the selection of the number of guide plates. Through precise CFD simulation, the optimal configuration of the number of guide plates is determined, avoiding the uncertainty and inefficiency in traditional empirical design, improving the uniformity of fluid velocity in the pipeline, reducing the energy consumption of the system, and improving the stability and life of the equipment. It can effectively guide the design and modification of power plant auxiliary equipment pipelines and has broad application prospects.

[0105] Figure 8 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. The electronic device may include:

[0106] A memory 801 , a processor 802 , and a computer program stored in the memory 801 and executable on the processor 802 .

[0107] When the processor 802 executes the program, the method for optimizing the number of guide plates in the auxiliary equipment pipe network of a power station provided in the above embodiment is implemented.

[0108] Furthermore, the electronic device further includes:

[0109] The communication interface 803 is used for communication between the memory 801 and the processor 802 .

[0110] The memory 801 is used to store computer programs that can be run on the processor 802.

[0111] The memory 801 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0112] If the memory 801, processor 802, and communication interface 803 are implemented independently, the communication interface 803, memory 801, and processor 802 can be interconnected via a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 8 Only one thick line is used in the diagram, but this does not mean that there is only one bus or one type of bus.

[0113] Optionally, in a specific implementation, if the memory 801, the processor 802 and the communication interface 803 are integrated on a chip, the memory 801, the processor 802 and the communication interface 803 can communicate with each other through an internal interface.

[0114] The processor 802 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0115] An embodiment of the present application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-mentioned method for optimizing the number of guide plates in the auxiliary equipment pipeline network of a power station.

[0116] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art can combine and combine different embodiments or examples described in this specification and features of different embodiments or examples without contradiction.

[0117] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be understood to indicate or imply relative importance or implicitly specify the number of technical features indicated. Thus, a feature specified as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of this application, "N" means at least two, for example, two, three, etc., unless otherwise specifically defined.

[0118] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may be performed out of the order shown or discussed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present application belong.

[0119] The logic and / or steps represented in the flowcharts or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing the logical functions, and can be embodied in any computer-readable storage medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (e.g., a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, apparatus, or device). For purposes of this specification, a "computer-readable storage medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable storage media include the following: an electrical connection with one or N wires (electronic devices), a portable computer disk cartridge (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and programmable read-only memory (EPROM or flash memory), fiber optic devices, and a portable compact disc read-only memory (CDROM). In addition, the computer-readable storage medium may even be paper or other suitable medium on which the program is printed, since the program can be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing it in another suitable manner as necessary, and then stored in a computer memory.

[0120] It should be understood that various parts of the present application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiment, the N steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof can be used to implement: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application-specific integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0121] Those skilled in the art will understand that all or part of the steps in the method of the above embodiment can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiment.

[0122] In addition, the functional units in the various embodiments of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into a module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0123] The computer-readable storage medium mentioned above may be a read-only memory, a magnetic disk, or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application. Persons skilled in the art may make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present application.

Claims

1. A method for optimizing the number of guide plates in a power station auxiliary equipment pipe network, characterized in that: The following steps are involved: Establishing a first three-dimensional model and a second three-dimensional model of a curved pipe structure in a power station auxiliary equipment pipe network, wherein the second three-dimensional model is provided with a plurality of guide plates; Performing computational fluid dynamics simulation based on the first three-dimensional model to obtain a first simulation result of the curved pipe structure, and performing computational fluid dynamics simulation based on the second three-dimensional model with different numbers of guide plates to obtain second simulation results with different numbers of guide plates; Based on the first simulation result and the second simulation result when different numbers of guide plates are set, the along-the-line pressure loss reduction rate, local pressure loss reduction rate and speed deviation reduction rate when different numbers of guide plates are set in the bend structure are calculated, and the target number of guide plates for the power station auxiliary pipeline network is determined according to the along-the-line pressure loss reduction rate, local pressure loss reduction rate and speed deviation reduction rate when different numbers of guide plates are set in the bend structure.

2. The method according to claim 1, characterized in that The first simulation result includes the first inlet and outlet pressure drop, the pressure drop before and after the bend corner, and the standard deviation of the velocity of the downstream section of the bend corner. The second simulation result when different numbers of guide plates are set includes the second inlet and outlet pressure drop, the guide section pressure drop and the velocity standard deviation when different numbers of guide plates are set in the bend structure.

3. The method according to claim 2, characterized in that The calculating, based on the first simulation result and the second simulation result when different numbers of guide plates are provided, the along-line pressure loss reduction rate, the local pressure loss reduction rate, and the velocity deviation reduction rate when different numbers of guide plates are provided in the curved pipe structure, comprises: Obtaining a pressure loss reduction rate along the elbow structure when different numbers of guide plates are provided based on a difference between the first inlet and outlet pressure drops and the second inlet and outlet pressure drops; The local pressure loss reduction rate of the elbow structure when different numbers of guide plates are provided is obtained based on the difference between the pressure drop before and after the elbow corner and the pressure drop of the guide section; The velocity deviation reduction rate of the elbow structure when different numbers of guide plates are provided is obtained based on the difference between the velocity standard deviation of the downstream section of the elbow corner and the velocity standard deviation.

4. The method according to claim 1, wherein When performing computational fluid dynamics simulation on the curved pipe structure, the following steps are included: The Realizable k-ε turbulence model is used to close the Navier-Stokes equations, and the closed Navier-Stokes equations are used to perform fluid dynamics simulation on the curved pipe structure.

5. The method according to claim 4, characterized in that The closed Navier-Stokes equations are: Where ρ is the fluid density, k is the turbulent kinetic energy, and u j is the average speed, x j is the jth direction in the Cartesian coordinate system, G k is the turbulent kinetic energy generation term caused by the mean velocity gradient, G b is the turbulent kinetic energy generated by buoyancy, ε is the turbulent kinetic energy dissipation rate, Y M is the contribution of wave expansion in compressible turbulence to the overall dissipation rate, S k and Sε are user-defined source terms, σ ε is the turbulent Prandtl number of ε, σ k is the turbulent Prandtl number k, S is the modulus of the strain rate tensor, C2, C 1ε 、C 3ε , σ k , σ ε is a constant, ν is the kinematic viscosity, and η is a dimensionless parameter reflecting the relationship between S, k and ε. ij is the average strain rate, μ t is the turbulent viscosity, C μ is the correlation coefficient of strain rate.

6. The method according to claim 1, characterized in that When establishing the first and second 3D models of the elbow structure in the auxiliary pipe network of the power station, the following are included: The mesh of the corner area in the first three-dimensional model is encrypted, and the mesh of the corner area and the guide plate in the second three-dimensional model is encrypted.

7. A guide plate quantity optimization system for a power station auxiliary equipment pipe network, characterized in that: include: A construction module, configured to establish a first three-dimensional model and a second three-dimensional model of a bend pipe structure in a power station auxiliary equipment pipe network, wherein the second three-dimensional model is provided with a plurality of guide plates; a simulation module, configured to perform a computational fluid dynamics simulation based on the first three-dimensional model to obtain a first simulation result of the curved pipe structure, and to perform a computational fluid dynamics simulation based on the second three-dimensional model with different numbers of guide plates to obtain second simulation results with different numbers of guide plates; A quantity determination module is used to calculate the along-the-line pressure loss reduction rate, local pressure loss reduction rate and speed deviation reduction rate when different numbers of guide plates are set in the curved pipe structure based on the first simulation result and the second simulation result when different numbers of guide plates are set, and determine the target number of guide plates for the auxiliary pipe network of the power station according to the along-the-line pressure loss reduction rate, local pressure loss reduction rate and speed deviation reduction rate when different numbers of guide plates are set in the curved pipe structure.

8. The system according to claim 7, characterized in that The first simulation result includes the first inlet and outlet pressure drop, the pressure drop before and after the bend corner, and the standard deviation of the velocity of the downstream section of the bend corner. The second simulation result when different numbers of guide plates are set includes the second inlet and outlet pressure drop, the guide section pressure drop and the velocity standard deviation when different numbers of guide plates are set in the bend structure.

9. An electronic device, characterized in that: The method comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the method for optimizing the number of guide plates in the auxiliary equipment piping network of a power station as described in any one of claims 1 to 6.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: The program is executed by a processor to implement the method for optimizing the number of guide plates in a power plant auxiliary equipment pipeline network as described in any one of claims 1 to 6.

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