Method for quantifying influence of arrangement angle of sheet type silencer on cooling performance of cooling tower

Abstract

The invention discloses a method for quantifying the influence of the arrangement angles of sheet type silencers on the cooling performance of a cooling tower, which comprises the following steps of: 1, acquiring and preprocessing fitting data, and solving a three-dimensional mathematical model of the cooling tower at different arrangement angles of the sheet type silencers; 2, establishing an arrangement angle-cooling performance mapping relation: constructing a fitting function of an arrangement angle and a performance parameter through an air inlet amount and a tower outlet water temperature value corresponding to a limited silencer arrangement angle scheme; and 3, performance loss calculation: performing fitting calculation on any silencer arrangement angle to obtain corresponding tower outlet water temperature and air inlet quantity parameter values, and performing comparative analysis on the parameter values and performance parameter reference values of a silencer-free scheme to obtain quantitative parameters such as a water temperature rising value and an air quantity loss rate. According to the method, the corresponding cooling performance in the full-angle range can be predicted, the performance loss rate relative to the silencer-free state is calculated, the technical blank of silencer angle design is filled, and a scientific basis is provided for efficient and low-noise operation of the cooling tower.

Description

Technical Field

[0001] This invention relates to the field of cooling tower noise reduction technology, and in particular to a quantitative method for the influence of the arrangement angle of plate silencers on the cooling performance of cooling towers. It is a method for dynamically predicting cooling performance loss through the arrangement angle of silencers, and is used to optimize the balance between silencer design and cooling tower energy efficiency. Background Technology

[0002] In the power and chemical industries, cooling towers are critical heat dissipation equipment, and their operating noise causes serious interference to the surrounding environment. Plate silencers are widely used for noise control at the air inlet of cooling towers due to their simple structure and significant noise reduction effect (reducing noise by 10-15 dB(A)). However, the arrangement of silencers significantly alters the airflow field at the inlet, leading to increased wind resistance, decreased airflow, and increased outlet water temperature, resulting in a loss of cooling performance. This contradiction has become a long-standing technical challenge for the industry.

[0003] The current design of silencer arrangement angle mainly relies on empirical criteria, lacking a quantitative basis for the influence of arrangement angle on cooling performance parameters. Conventional methods rely on experiments with fixed arrangement angles, making it impossible for designers to predict performance degradation at specific angles, leading to two extremes: ① Overly conservative design: adopting a small angle arrangement to ensure performance, resulting in insufficient noise reduction; ② Sacrificing energy efficiency: adopting a large angle in pursuit of noise reduction, resulting in a significant decrease in cooling efficiency and an increase in outlet water temperature. Summary of the Invention

[0004] The purpose of this invention is to propose a quantitative method for the influence of the arrangement angle of plate silencers on the cooling performance of cooling towers, and to dynamically predict the cooling performance loss by means of the arrangement angle of silencers.

[0005] To achieve the above objectives, the technical solution adopted by this invention is: a method for quantifying the influence of the arrangement angle of plate silencers on the cooling performance of cooling towers, wherein: the quantification method includes:

[0006] Step S1: Acquisition and preprocessing of fitting data, and solving the three-dimensional mathematical model of the cooling tower under different plate silencer arrangement angles, including:

[0007] I. Steady-state calculation of the air flow field inside and outside the cooling tower when the unit load, meteorological conditions and circulating water volume are stable;

[0008] II. Air flow, heat transfer, raindrop evaporation, and water vapor diffusion need to be solved in a coupled manner;

[0009] Step S2: Establish the mapping relationship between the arrangement angle and cooling performance: Construct a fitting function between the arrangement angle and performance parameters by using the air intake and water temperature values ​​corresponding to the limited silencer arrangement angle schemes.

[0010] Step S3, Performance Loss Calculation: The corresponding outlet water temperature and inlet air volume parameters are obtained by fitting the muffler arrangement angle. By comparing with the performance parameter benchmark values ​​of the muffler-free scheme, quantitative parameters such as water temperature rise and air volume loss rate are obtained, which intuitively express the impact of the muffler arrangement angle on the cooling tower performance.

[0011] The solution further includes: the solution of the three-dimensional mathematical model of the cooling tower under different plate silencer arrangement angles is performed using the commercial computational fluid dynamics software FLUENT;

[0012] Specifically: the calculation of the second type of boundary of the outer boundary, the resistance characteristics of the packing, the rain zone, and the raindrop evaporation in the packing zone are implemented using user-defined functions written through the secondary interface provided by FLUENT. The packing zone adopts FLUENT's porous media model, and the resistance loss coefficient of the packing is obtained by formula 1. The rain zone adopts the discrete ion DPM model, and the air resistance to raindrops is analyzed according to formulas 2 to 4, where formulas 1 to 4 are respectively:

[0013] Formula 1;

[0014] Formula 2;

[0015] Formula 3;

[0016] Formula 4;

[0017] In the formula: This is the resistance loss coefficient of the packing material; and This is an experimental constant; Specific gravity of air, N / m 3 ; The wind speed at the packing section is in m / s; air density, kg / m³ 3 ; The height of the packing material is in meters (m). The resistance of raindrops; The particle velocity is in m / s; Air velocity, m / s; The acceleration of the particle is expressed in m / s². 2 ; The density of raindrops, kg / m³ 3 ; Let be the diameter of the raindrop, in meters (m). This is the raindrop drag coefficient; This is an empirical coefficient; It is the Reynolds number; For time, s; The viscosity is dynamic, Pa·s;

[0018] Through iterative calculations, convergent solutions for the outlet air temperature and total air volume under stable conditions are obtained. The temperature and mass of DPM particles on the surface of the water collection pool and the air mass flow rate on the air inlet annulus are collected. Then, the performance parameters of the cooling tower outlet water temperature and air volume corresponding to the plate silencers with different arrangement angles are further processed to obtain the performance parameters of the cooling tower outlet water temperature and air volume.

[0019] The solution further involves the following steady-state calculation of the airflow field inside and outside the tower: In the FLUENT solver settings, a steady-state solver is selected, where the time derivative terms of the mass, momentum, energy, and component transport control equations are all zero; through iterative calculation, the calculation continues until all monitored residual curves reach a preset value below 10. -6 The convergence criterion is that the changes in the outlet air temperature and total intake air volume tend to stabilize, which means that the steady-state flow field solution under the stable operating condition has been obtained.

[0020] The coupled solution includes: flow-heat transfer-component diffusion coupled solution, and bidirectional coupled solution of raindrops as discrete phase and air as continuous phase.

[0021] The solution further includes the following: the limited muffler arrangement angles are 0°, 90°, 180°, 270°, and 360°.

[0022] The solution further includes: the fitting function between the construction layout angle and performance parameters is a polynomial fitting formula 5 and formula 6:

[0023] Formula 5;

[0024] Formula 6;

[0025] Where: T is the temperature, °C; Q is the air intake volume, kg / s; , These are the polynomial coefficients; The angle for arranging the muffler.

[0026] The solution further states that the direct representation of the impact of the silencer arrangement angle on the cooling tower performance is the water temperature rise and airflow loss rate, obtained from formulas 7 and 8.

[0027] Formula 7;

[0028] Formula 8;

[0029] In the formula: The value represents the increase in water temperature, in °C. Air volume loss rate, %; T is temperature; Q is inlet air volume, kg / s; subscript This represents the baseline windless operating condition; The angle for arranging the muffler.

[0030] The beneficial effects of this invention are:

[0031] This invention establishes a geometric model of the cooling tower and silencer, sets a reasonable mesh model, and calculates thermal resistance to obtain the main cooling performance parameters corresponding to several typical silencer arrangement angles. Then, using a polynomial fitting method, it fits the performance under typical arrangement angles and the performance without a silencer, deriving a correlation expression between the silencer arrangement angle and the cooling performance parameters. This allows for the calculation of the cooling performance parameters corresponding to any arrangement angle between 0° and 360°, which is then compared with the performance parameters without a silencer to determine the impact of any silencer arrangement angle on the cooling tower's cooling performance. Finally, a quantitative algorithm is derived for the functional relationship between continuous silencer arrangement angles and the performance difference. This method requires only 4-5 sets of simulation data for key arrangement angles to predict the corresponding cooling performance across the entire angle range and calculate the performance loss rate relative to the state without a silencer. It fills the technical gap in silencer angle-based design and provides a scientific basis for the efficient and low-noise operation of cooling towers.

[0032] The invention will be further explained in detail below with reference to the accompanying drawings and specific embodiments. Attached Figure Description

[0033] Figure 1 Schematic diagram of the method flow of this invention;

[0034] Figure 2. Trend of water temperature at the outlet tower corresponding to different silencer arrangement angles;

[0035] Figure 3. Trend of air intake volume variation corresponding to different muffler arrangement angles. Detailed Implementation

[0036] A quantitative method for the impact of the arrangement angle of plate-type silencers on the cooling performance of cooling towers is proposed. This method is based on a silencer arrangement angle-cooling performance mapping model using limited simulation data. By establishing geometric models of the cooling tower and silencers of the unit, setting a reasonable mesh model, and calculating thermal resistance, the main cooling performance parameters corresponding to several typical silencer arrangement angles are obtained, such as... Figure 1 As shown, the quantization method includes:

[0037] Step S1: Acquisition and preprocessing of fitting data, and solving the three-dimensional mathematical model of the cooling tower under different plate silencer arrangement angles, including:

[0038] 1. When the cooling tower is running under stable unit load, meteorological conditions and circulating water volume, the steady-state calculation of the air flow field inside and outside the tower requires consideration of the buoyancy effect, as buoyancy is the main force in the momentum equation.

[0039] II. Coupled solutions are required for air flow, heat transfer, raindrop evaporation, and water vapor diffusion;

[0040] Step S2: Establish the mapping relationship between the arrangement angle and cooling performance: Construct a fitting function between the arrangement angle and performance parameters by using the air intake and water temperature values ​​corresponding to the limited silencer arrangement angle schemes.

[0041] Step S3, Performance Loss Calculation: The corresponding outlet water temperature and inlet air volume parameters are obtained by fitting the muffler arrangement angle. By comparing and analyzing the performance parameter benchmark values ​​with the muffler-free scheme, quantitative parameters such as water temperature rise and air volume loss rate are obtained, which intuitively express the influence of the muffler arrangement angle on the cooling tower performance.

[0042] In the method: the solution of the three-dimensional mathematical model of the cooling tower under different plate silencer arrangement angles is carried out using the commercial computational fluid dynamics software FLUENT;

[0043] Specifically: the calculation of the second type of boundary of the outer boundary, the resistance characteristics of the packing, the rain zone, and the raindrop evaporation in the packing zone are implemented using user-defined functions (UDFs) written through the secondary interface provided by FLUENT. The packing zone adopts FLUENT's porous media model, and the resistance loss coefficient of the packing is obtained by Equation 1. The rain zone adopts the Discrete Ion (DPM) model. The air resistance to raindrops is analyzed according to Equations 2 to 4, using the MERKEL model (cooling tower mass and heat transfer model). Equations 1 to 4 are respectively:

[0044] Formula 1;

[0045] Formula 2;

[0046] Formula 3;

[0047] Formula 4;

[0048] In the formula: This is the resistance loss coefficient of the packing material; and This is an experimental constant; Specific gravity of air, N / m 3 ; The wind speed at the packing section is in m / s; air density, kg / m³ 3 ; The height of the packing material is in meters (m). The resistance of raindrops; The particle velocity is in m / s; Air velocity, m / s; The acceleration of the particle is expressed in m / s². 2 ; The density of raindrops, kg / m³ 3 ; Let be the diameter of the raindrop, in meters (m). This is the raindrop drag coefficient; This is an empirical coefficient; It is the Reynolds number; For time, s; The viscosity is dynamic, Pa·s;

[0049] Through iterative calculations, convergent solutions for the outlet air temperature and total air volume under stable conditions are obtained. The temperature and mass of DPM particles on the surface of the water collection pool and the air mass flow rate on the air inlet annulus are collected. Then, the performance parameters of the cooling tower outlet water temperature and air volume corresponding to the plate silencers with different arrangement angles are further processed to obtain the performance parameters of the cooling tower outlet water temperature and air volume.

[0050] The steady-state calculation of the airflow field inside and outside the tower is as follows: In the solver settings of FLUENT, a steady-state solver is selected, where the time derivative terms of the mass, momentum, energy, and component transport control equations are all zero; through iterative calculation, until all monitored residual curves reach a preset value below 10... -6 The convergence criterion is that the changes in the outlet air temperature and total intake air volume tend to stabilize, which means that the steady-state flow field solution under the stable operating condition has been obtained.

[0051] The coupled solution includes: flow-heat transfer-component diffusion coupled solution, and bidirectional coupled solution of raindrops as discrete phase and air as continuous phase.

[0052] In the method: the limited muffler arrangement angles are 0°, 90°, 180°, 270°, and 360°.

[0053] Wherein: the fitting function between the construction layout angle and the performance parameters is a polynomial fitting formula 5 and formula 6:

[0054] Formula 5;

[0055] Formula 6;

[0056] Where: T is the temperature, °C; Q is the air intake volume, kg / s; , These are the polynomial coefficients; The angle for arranging the muffler.

[0057] In the method: the direct expression of the impact of the silencer arrangement angle on the cooling tower performance is the water temperature rise and air volume loss rate, obtained from formulas 7 and 8.

[0058] Formula 7;

[0059] Formula 8;

[0060] In the formula: The value represents the increase in water temperature, in °C. Air volume loss rate, %; T is temperature; Q is inlet air volume, kg / s; subscript This represents the baseline windless operating condition; The angle for arranging the muffler.

[0061] This embodiment uses the commercial computational fluid dynamics (CFD) software ANSYS FLUENT to solve the three-dimensional mathematical model of a cooling tower under different plate muffler arrangement angles. ANSYS FLUENT is an advanced numerical simulation tool widely used in engineering fields for simulating complex flows, heat transfer, mass transfer, and chemical reactions. Its powerful solver and rich physical model library can effectively handle multiphysics coupling problems involved in cooling towers.

[0062] The motion and mass transfer process of droplets in the rain zone is simulated using the Discrete Phase Model (DPM). DPM is a Lagrangian model in FLUENT used to track the trajectory of discrete particles (such as droplets, bubbles, and particles) in a continuous phase (such as air), as well as heat and mass exchange. It is particularly suitable for simulating the falling, evaporation, and interaction of a large number of raindrops with the air in the rain zone of a cooling tower.

[0063] The core heat and mass exchange processes in the packing zone and rain zone are analyzed using the MERKEL model. The MERKEL model is a classic theoretical model in cooling tower thermodynamic calculations. Based on the enthalpy difference driving force principle, it comprehensively handles complex heat and mass transfer processes and is widely used in the performance design and verification of cooling towers. In the simulation of this embodiment, the core ideas of the MERKEL model are embedded into the FLUENT solution process through user-defined functions (UDFs) to achieve an accurate description of the evaporative cooling effect in the heat and mass transfer zones within the cooling tower.

[0064] Regarding "steady-state calculation":

[0065] This simulation is based on the assumption that the cooling tower is under design or typical operating conditions. Under the condition that key boundary conditions such as generator output power, ambient wet / dry bulb temperature, atmospheric pressure, relative humidity, and the inlet flow rate and temperature of the circulating water system remain constant and do not change over time, the airflow field, temperature field, humidity field, and water droplet motion state inside the cooling tower will reach a time-invariant equilibrium state after sufficient development. This equilibrium state is directly solved in the CFD simulation. In ANSYS FLUENT, the specific implementation process is as follows: In the solver settings, select the steady-state solver; the time derivative terms of all governing equations (mass, momentum, energy, and component transport equations) are all zero; through iterative calculation, until all monitored residual curves reach the preset convergence criterion (e.g., below 10). -6 If the changes in key global variables (such as outlet air temperature and total intake air volume) tend to stabilize, then the steady-state flow field solution under this stable operating condition is considered to have been obtained.

[0066] Regarding "coupled solution":

[0067] The combined physical processes of airflow, heat transfer, raindrop evaporation, and water vapor diffusion are closely interconnected and mutually influential within a real cooling tower, requiring a coupled solution. The specific coupling relationships and implementation process are as follows:

[0068] Coupling mechanism:

[0069] Flow-heat transfer-component diffusion coupling: The flow of air (velocity field, pressure field) affects the transport of heat (temperature field) and water vapor (concentration field) through convection; conversely, the density change of air caused by temperature difference and concentration difference (considering the Boussinesq assumption or ideal gas law) will generate buoyancy, which in turn affects the flow field.

[0070] Discrete phase (raindrop) - continuous phase (air) bidirectional coupling: When raindrops (DPM) move in the air, momentum, heat, and mass are exchanged between them and the air. Raindrop evaporation absorbs sensible heat from the air and increases its humidity (latent heat release and mass increase), while the water vapor produced by evaporation diffuses into the air; the airflow determines the resistance acting on the raindrops and the rate of heat and mass transfer. In FLUENT, the heat / mass transfer option for the DPM model needs to be enabled, and the calculation formula of the MERKEL model should be written into the macro definition of the heat / mass transfer rate as a user-defined function (UDF).

[0071] Solution process: In FLUENT, these coupled processes are achieved by simultaneously solving the following set of governing equations:

[0072] The continuity equation and the Navier-Stokes equation (momentum equation) describe airflow.

[0073] Energy equation: describes the transfer of sensible heat between air and water.

[0074] Component transport equations: describe the diffusion and convection of water vapor in the air.

[0075] DPM trajectory equations / gas state equations and turbulence equations: describe the motion of raindrops and their exchange of momentum, heat and mass with the air.

[0076] The solver employs a pressure-velocity coupled algorithm (such as SIMPLE-C), which updates the flow field, temperature field, concentration field, and discrete phase information sequentially in each iteration until all variables satisfy the global convergence condition, thereby obtaining a unified and self-consistent coupled solution.

[0077] Below are application examples of the above methods:

[0078] Taking the enlarged-unit secondary circulating water supply system of a power plant's 2×660MW heating units as an example, each unit is equipped with two circulating water pumps and one hyperbolic natural draft cooling tower. Regarding tower parameters, the water distribution area is 9000m². 2 The packing height is 1.5m, the zero-meter diameter is 116m, the tower height is 144m, the air inlet height is 10m, the throat height is 113m, the throat diameter is 65m, the outlet diameter is 74m, the packing bottom elevation is 11.0m, the water distribution pipe center elevation is 13.35m, and the water separator bottom elevation is 14.2m. The circulating water volume is 63837 t / h. Under summer 10% weather conditions, the designed outlet water temperature is 31.84℃, and the temperature difference between the inlet and outlet water is 9.72℃. The adopted meteorological parameters are shown in Table 1.

[0079] Table 1 Meteorological parameters

[0080]

[0081] The installation height of the plate-type silencer is generally the same as the top elevation of the cooling tower's air inlet, which is 10m. The acoustic components of the silencer are sound-absorbing guide vane units, with a thickness of 150mm and a spacing of 150mm between the vanes. The length of the sound-absorbing guide vanes generally ranges from 1.0 to 2.5m, while the silencer's drag loss coefficient, which is directly related to the vane length, is between 1.6 and 2.1. The sound-absorbing guide vanes are made of perforated aluminum alloy plates to reduce corrosion. The sound-absorbing guide vane units are supported and fixed by steel profiles. A maintenance passage of approximately 1.5m is left between the silencer and the tower wall.

[0082] The introduction of noise reduction equipment will inevitably increase the air intake resistance of the cooling tower and reduce the air intake volume, which may lead to a decrease in the cooling performance of the cooling tower. At the same time, due to the asymmetrical arrangement of the silencer, the flow field inside and outside the cooling tower will change, so it is advisable to establish a three-dimensional numerical model to calculate the cooling tower performance.

[0083] To compare the impact of different plate silencer arrangement angles on cooling tower performance, three-dimensional simulation calculations were performed for plate silencer arrangement angles of 0°, 90°, 180°, 270°, and 360°. The calculation results are shown in Table 2.

[0084] Table 2. Output water temperature and air volume corresponding to different silencer arrangement angles.

[0085]

[0086] Using polynomial fitting, and taking the calculated data of the five sets of outlet water temperature and inlet air volume in Table 2 as input parameters, a cubic polynomial fitting function of silencer arrangement angle—outlet water temperature / inlet air volume is constructed. The corresponding fitting curve is shown below. Figure 2 , Figure 3 As shown.

[0087] The following two fitting polynomials can be used to predict the values ​​of the main performance parameters of cooling towers at any arrangement angle:

[0088] Water temperature at the outlet of the tower T = -1E-09x 3 + 8E-06x 2 + 0.0016x + 29.411

[0089] Air intake volume Q = 4E-05x 3 - 0.0325x 2 - 3.3097x + 14878

[0090] Based on the performance data of the silencerless system, the performance loss under any arrangement angle can be given, such as air volume loss rate and water temperature rise, as follows:

[0091] Air volume loss rate

[0092] Water temperature rise

[0093] Taking a 60-degree angle as an example, the tower water temperature and air intake volume can be calculated as follows:

[0094] ℃

[0095]

[0096] Then, by calculating the air volume loss rate and water temperature rise, we can obtain:

[0097]

[0098] ℃.

Claims

1. A method for quantifying the influence of the arrangement angle of plate silencers on the cooling performance of cooling towers, characterized in that, The quantization method includes: Step S1: Acquisition and preprocessing of fitting data, and solving the three-dimensional mathematical model of the cooling tower under different plate silencer arrangement angles, including: I. Steady-state calculation of the air flow field inside and outside the cooling tower when the unit load, meteorological conditions and circulating water volume are stable; II. Air flow, heat transfer, raindrop evaporation, and water vapor diffusion need to be solved in a coupled manner; Step S2: Establish the mapping relationship between the arrangement angle and cooling performance: Construct a fitting function between the arrangement angle and performance parameters by using the air intake and water temperature values ​​corresponding to the limited silencer arrangement angle schemes. Step S3, Performance Loss Calculation: The corresponding outlet water temperature and inlet air volume parameters are obtained by fitting the muffler arrangement angle. By comparing with the performance parameter benchmark values ​​of the muffler-free scheme, quantitative parameters such as water temperature rise and air volume loss rate are obtained, which intuitively express the impact of the muffler arrangement angle on the cooling tower performance.

2. The quantization method according to claim 1, characterized in that, The solution of the three-dimensional mathematical model of the cooling tower under different plate silencer arrangement angles was performed using the commercial computational fluid dynamics software FLUENT. Specifically: the calculation of the second type of boundary of the outer boundary, the resistance characteristics of the packing, the rain zone, and the raindrop evaporation in the packing zone are implemented using user-defined functions written through the secondary interface provided by FLUENT. The packing zone adopts FLUENT's porous media model, and the resistance loss coefficient of the packing is obtained by formula 1. The rain zone adopts the discrete ion DPM model, and the air resistance to raindrops is analyzed according to formulas 2 to 4, where formulas 1 to 4 are respectively: Formula 1: Formula 2: Formula 3: Formula 4: In the formula: This is the resistance loss coefficient of the packing material; and This is an experimental constant; Specific gravity of air, N / m 3 ; The wind speed at the packing section is in m / s; air density, kg / m³ 3 ; The height of the packing material is in meters (m). The resistance of raindrops; The particle velocity is in m / s; Air velocity, m / s; The acceleration of the particle is expressed in m / s². 2 ; The density of raindrops, kg / m³ 3 ; Let be the diameter of the raindrop, in meters (m). This is the raindrop drag coefficient; This is an empirical coefficient; It is the Reynolds number; For time, s; The viscosity is dynamic, Pa·s; Through iterative calculations, convergent solutions for the outlet air temperature and total air volume under stable conditions are obtained. The temperature and mass of DPM particles on the surface of the water collection pool and the air mass flow rate on the air inlet annulus are collected. Then, the performance parameters of the cooling tower outlet water temperature and air volume corresponding to the plate silencers with different arrangement angles are further processed to obtain the performance parameters of the cooling tower outlet water temperature and air volume.

3. The quantization method according to claim 2, characterized in that, The steady-state calculation of the airflow field inside and outside the tower is as follows: In the solver settings of FLUENT, select the steady-state solver, where the time derivative terms of the mass, momentum, energy, and component transport control equations are all zero; through iterative calculation, until all monitored residual curves reach a preset value below 10. -6 The convergence criterion is that the changes in the outlet air temperature and total intake air volume tend to stabilize, which means that the steady-state flow field solution under the stable operating condition has been obtained. The coupled solution includes: flow-heat transfer-component diffusion coupled solution, and bidirectional coupled solution of raindrops as discrete phase and air as continuous phase.

4. The quantization method according to claim 1, characterized in that, The limited muffler arrangement angles are 0°, 90°, 180°, 270°, and 360°.

5. The quantization method according to claim 1, characterized in that, The fitting functions for the construction layout angle and performance parameters are polynomial fitting formulas 5 and 6: Formula 5: Formula 6: Where: T is the temperature, °C; Q is the air intake volume, kg / s; , These are the polynomial coefficients; The angle for arranging the muffler.

6. The quantization method according to claim 1, characterized in that, The direct representation of the impact of the silencer arrangement angle on cooling tower performance is the water temperature rise and airflow loss rate, obtained from formulas 7 and 8. Formula 7: Formula 8: In the formula: The value represents the increase in water temperature, in °C. The air volume loss rate is %; T represents temperature; Q represents airflow rate, kg / s; subscript This represents the baseline windless operating condition; The angle for arranging the muffler.

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