Gas film system energy-saving simulation method and device and gas film system

Abstract

The invention provides an air film system energy-saving simulation method and device and an air film system.The method includes the steps that a model of the air film system is established, temperature monitoring points are arranged in the air film system model, external conditions are set, the internal room temperature of the air film system model is continuously obtained, and then all controllable variable data of the air film system model are adjusted; and recording a plurality of groups of test data in a mode of acquiring the sendible temperature data based on the temperature monitoring points, and performing power calculation on the screened test data to obtain the optimal adjustment selection of the gas film system. According to the simulation method used by the scheme provided by the invention, by establishing the model of the gas film system and setting the temperature monitoring points, the influence of external condition changes on the gas film system can be quickly reflected, so that the gas film system can be monitored and adjusted in real time, the cost required by testing is greatly reduced, and the testing efficiency is improved. The comfortable body feeling temperature of people in the space is guaranteed, meanwhile, the electric power is reduced to the minimum, and energy consumption is effectively reduced.

Description

Technical Field

[0001] The present invention belongs to the technical field of simulation and in particular relates to an air film system energy-saving simulation method, device and air film system. Background Art

[0002] Air Curtain Air Conditioning is an air conditioning system that uses air film technology to achieve air conditioning effects. It uses an air film (AirCurtain) to form an air barrier, which is usually installed at the door of a building or near open shelves. Air Curtain Air Conditioning blocks the air exchange between indoor and outdoor areas by continuously blowing temperature-controlled air vertically to the door or the bottom of the open area, thereby insulating, isolating wind, and preventing dust from entering.

[0003] At present, air film air conditioners are mainly used in commercial and industrial places, such as supermarkets, shops, restaurants, etc. Air film air conditioners can effectively save energy and improve air conditioning efficiency. At the same time, they also improve indoor air quality and reduce the entry of dust and insects.

[0004] However, as a green and environmentally friendly equipment, the current air-inflated gymnasium still has some prominent problems. The existing air-inflated air-conditioning system is difficult to adapt to the technical requirements of modern intelligent and distributed cooling. It is easy to affect the comfort of indoor personnel due to uneven distribution of cooling and air volume, and may also cause a sharp increase in the overall electricity consumption of the building. Summary of the invention

[0005] In order to overcome the defects of the prior art, the present invention proposes an air film system energy-saving simulation method, the method comprising:

[0006] Establishing a model of an air film system, and setting a temperature monitoring point inside the air film system model;

[0007] Setting external conditions and continuously obtaining the internal room temperature of the air membrane system model, adjusting all controllable variable data of the air membrane system model, and obtaining the body temperature data based on the temperature monitoring point, so as to record the current controllable variable data combination and the current body temperature data as a set of test data;

[0008] Repeating the adjustment of the controllable variable data until corresponding test data is generated based on the optional combination of all the controllable variable data, screening all the test data to retain the test data whose body temperature data meets the preset temperature condition as the candidate data;

[0009] The power consumption required for applying each group of the candidate data is calculated respectively, so as to determine the controllable variable data combination in the candidate data with the lowest power consumption as the optimal adjustment option for the air membrane system under the current external conditions.

[0010] Specifically, the “establishing a model of the air film system and setting temperature monitoring points inside the air film system model” includes:

[0011] Establishing the air film system model and performing mesh division on the air film system model;

[0012] The parameters of the air membrane system model are set, and the character model in the central area of ​​the air membrane system model is set as the temperature monitoring point; the parameters of the air membrane system model include the physical properties of the air membrane system model material, the air intake and return air methods of the air membrane system model, and the internal and external wind flow fields of the air membrane system model.

[0013] Furthermore, the internal and external wind flow fields of the air film system model are realized by numerically simulating the SST model, verifying the accuracy of the numerical solution in the simulation through the continuity equation, and describing the motion state of the fluid through the momentum equation, wherein:

[0014] The continuity equation is:

[0015]

[0016] The momentum equation is:

[0017]

[0018] in

[0019] In the formula, ρ represents the density of the medium, t represents the time, represents the rate of change of fluid density over time, x represents the coordinates in three-dimensional space, i and j represent the indexes of spatial coordinates, represents the rate of change of fluid density with space, u i 、u j represents the density of the medium, that is, the component of the fluid velocity in the i and j directions, σ ij represents the stress tensor describing the internal stress distribution of the fluid, δ ij represents the second-order unit tensor, τ ij represents the component of the viscous stress tensor, p represents the pressure, μ represents the dynamic viscosity of the fluid, S i is the source term;

[0020] The SST model describes the evolution and transmission process of turbulent kinetic energy and turbulent energy dissipation rate in the wind flow field inside and outside the air film system model through the k equation and the ε equation, where:

[0021] The k equation is:

[0022]

[0023] The ε equation is:

[0024]

[0025] In the formula, k represents the turbulent kinetic energy, ε represents the turbulent kinetic energy dissipation rate, G k is the turbulent kinetic energy generation term, G b is the turbulent kinetic energy generation term generated by buoyancy, ρε represents the density-weighted average of the turbulent kinetic energy dissipation rate, σ k represents the Planck number of k, σ ε represents the Planck number of ε, Y M is the additional term caused by the effect of turbulent pulsation expansion on the total dissipation rate, S k , S ε is the source term, v represents the flow velocity of the fluid, C 1 , C 2 , C 3 is an empirical constant.

[0026] Preferably, the simulation of the internal and external wind flow fields of the air film system model is also achieved through turbulence stress calculation, turbulence model selection and solver selection, wherein:

[0027] The formula for the turbulence model selection is:

[0028]

[0029] Where τ represents the turbulent gravity, μ t represents the turbulent dynamic viscosity, represents the velocity difference between the two fluid layers, represents the distance difference between the two fluid layers, represents velocity gradient, S represents shear rate, a 1 is an empirical constant, Production(P k ) represents the generation rate of turbulent kinetic energy, and Dissipation (ε) represents the dissipation rate of turbulent kinetic energy;

[0030] The formula selected by the solver is:

[0031]

[0032] In the formula, a C 、a E 、a W 、a EE 、a WW Represent different master node coefficients, Represent different correction factors, represent the flux of turbulent kinetic energy and turbulent dissipation rate, respectively, Represents the flux correction factor.

[0033] Preferably, the external conditions include external beam direction and illumination intensity parameters of solar radiation on the air film system model, and the method further includes:

[0034] In response to input information including longitude, latitude and time, external light beam direction and light intensity parameters in a preset database are called as the external conditions based on the input information.

[0035] Specifically, the “adjusting all controllable variable data of the air film system model, and acquiring the body temperature data based on the temperature monitoring point, so as to record the current controllable variable data combination and the current body temperature data as a set of test data” includes:

[0036] Dividing at least two temperature intervals, setting corresponding controllable variable data for different temperature intervals as current controllable variable data combinations, and determining currently used controllable variable data based on the temperature interval in which the internal room temperature is located;

[0037] If the change range of the internal room temperature is within the preset range for more than a preset time, the current sensible temperature data is obtained based on the temperature monitoring point to record the controllable variable data combination and the sensible temperature data as a set of test data.

[0038] Specifically, the formula for calculating the electric power is:

[0039]

[0040] Where P T represents the total power consumption, n represents the number of air supply surfaces in the air film system model, P i represents the power consumption of the ith air supply surface, q represents the proportionality coefficient, A i represents the area of ​​the ith air supply surface, T si represents the air supply temperature of the ith air supply surface, T r Represents the internal room temperature of the air-film system model.

[0041] Preferably, the method further comprises:

[0042] The optimal adjustment selection is applied to an actual air membrane system, the internal room temperature and power consumption of the air membrane system are obtained and field data is generated, so as to correct the air membrane system model based on the field data.

[0043] The present invention also proposes an air film system energy-saving simulation device, which comprises:

[0044] A setting module, used to establish a model of the air film system and set temperature monitoring points inside the air film system model;

[0045] A recording module, used to set external conditions and continuously obtain the internal room temperature of the air film system model, adjust all controllable variable data of the air film system model, and obtain the body temperature data based on the temperature monitoring point, so as to record the current controllable variable data combination and the current body temperature data as a set of test data;

[0046] A screening module, used for repeatedly adjusting the controllable variable data until corresponding test data is generated based on the optional combination of all the controllable variable data, and screening all the test data to retain the test data whose body temperature data meets the preset temperature condition as the selected data;

[0047] The calculation module is used to respectively calculate the power required for applying each group of the candidate data, so as to determine the controllable variable data combination in the candidate data with the lowest power consumption as the optimal adjustment option for the air membrane system under the current external conditions.

[0048] The present invention also proposes an air film system, which applies the air film system energy-saving simulation method as described above.

[0049] The present invention has at least the following beneficial effects:

[0050] The solution proposed in the present invention takes into account the operating environment of the air membrane and air conditioner under real conditions through simulation software and user-defined secondary development, can simulate the combination of different controllable variables, and monitor and record the perceived temperature data in real time, so as to systematically evaluate the energy efficiency performance under different control strategies, and find the optimal control strategy suitable for the current external conditions, while ensuring the perceived comfortable temperature of the people in the space, while reducing the power consumption to the minimum, realizing automatic and intelligent energy-saving control, and can effectively avoid the extreme situations in summer where the air membrane has a high temperature or the air membrane has a low temperature that is not suitable for people to exercise due to reducing the power consumption, and the air conditioner works for a long time with high energy consumption. Compared with traditional field experiments or trial and error methods, this method greatly reduces the experimental cost and time required, and is convenient for detailed analysis and optimization of different parameters;

[0051] Furthermore, the solution proposed in the present invention can accurately simulate the thermal characteristics of the air film system by establishing an accurate air film system model and setting temperature monitoring points in key areas, and provide accurate turbulence simulation results through the SST model, more accurately predict the wind flow field inside and outside the air film system, thereby optimizing the air supply and return mode. Simulation based on historical data can more realistically simulate the operation of the system in an actual environment, thereby optimizing system design and energy efficiency performance;

[0052] In addition, the solution proposed in the present invention can divide multiple temperature intervals to combine a variety of different controllable variable data combinations, thereby forming detailed test data to more accurately adjust and control the operating status of the air membrane system. At the same time, it can combine field data to verify the effectiveness of the model, help optimize the control strategy of the air membrane system, and maximize comfort and energy saving effects.

[0053] Therefore, the present invention proposes an energy-saving simulation method, device and air membrane system for an air membrane system. The simulation method used in the scheme proposed in the present invention can quickly reflect the impact of changes in external conditions on the air membrane system by establishing a model of the air membrane system and setting temperature monitoring points, so that the air membrane system can be monitored and adjusted in real time, which helps to cope with seasonal changes and climate fluctuations, and greatly reduces the cost required for testing. While ensuring the comfortable temperature felt by people in the space, the power consumption is reduced to a minimum, effectively reducing energy consumption and meeting the requirements of sustainable development. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0055] Figure 1 A schematic diagram of the overall method flow of the air film system energy-saving simulation method provided in Example 1;

[0056] Figure 2 A schematic diagram of a method flow for establishing a model of an air film system and setting temperature monitoring points;

[0057] Figure 3 This is an example diagram of the air conditioning enthalpy-psychrometric diagram in the air film system;

[0058] Figure 4 This is a schematic diagram of the module structure flow of the air film system energy-saving simulation device provided in Example 2.

[0059] Reference numerals

[0060] 10-setting module; 11-establishment unit; 12-setting unit; 20-recording module; 21-division unit; 22-storage unit; 30-screening module; 40-calculation module; 50-verification module. DETAILED DESCRIPTION

[0061] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0062] Hereinafter, various embodiments of the present invention will be described more fully. The present invention may have various embodiments, and adjustments and changes may be made therein. However, it should be understood that there is no intention to limit the various embodiments of the present invention to the specific embodiments disclosed herein, but the present invention should be understood to cover all adjustments, equivalents and / or alternatives falling within the spirit and scope of the various embodiments of the present invention.

[0063] Hereinafter, the term "include" or "may include" used in various embodiments of the present invention indicates the presence of disclosed functions, operations or elements, and does not limit the addition of one or more functions, operations or elements. In addition, as used in various embodiments of the present invention, the terms "include", "have" and their cognates are intended only to indicate specific features, numbers, steps, operations, elements, components or combinations of the foregoing items, and should not be understood as first excluding the presence of one or more other features, numbers, steps, operations, elements, components or combinations of the foregoing items or the possibility of adding one or more features, numbers, steps, operations, elements, components or combinations of the foregoing items.

[0064] In various embodiments of the present invention, the expression "or" or "at least one of A or / and B" includes any combination or all combinations of the words listed at the same time. For example, the expression "A or B" or "at least one of A or / and B" may include A, may include B, or may include both A and B.

[0065] The expressions (such as "first", "second", etc.) used in various embodiments of the present invention may modify the various constituent elements in various embodiments, but may not limit the corresponding constituent elements. For example, the above expressions do not limit the order and / or importance of the elements. The above expressions are only used for the purpose of distinguishing an element from other elements. For example, the first user device and the second user device indicate different user devices, although both are user devices. For example, without departing from the scope of various embodiments of the present invention, the first element may be referred to as the second element, and similarly, the second element may also be referred to as the first element.

[0066] It should be noted that in the present invention, unless otherwise clearly specified and defined, the terms such as "installation", "connection", "fixation" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium; it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0067] In the present invention, those skilled in the art need to understand that the terms indicating orientation or positional relationship herein are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention.

[0068] The terms used in various embodiments of the present invention are only used for the purpose of describing specific embodiments and are not intended to limit various embodiments of the present invention. As used herein, the singular form is intended to also include the plural form, unless the context clearly indicates otherwise. Unless otherwise limited, all terms used here (including technical terms and scientific terms) have the same meaning as the meaning generally understood by those of ordinary skill in the art to which the various embodiments of the present invention belong. The terms (such as the terms defined in the dictionary generally used) will be interpreted as having the same meaning as the contextual meaning in the relevant technical field and will not be interpreted as having an idealized meaning or an overly formal meaning, unless clearly defined in various embodiments of the present invention.

[0069] Example 1

[0070] This embodiment proposes an air film system energy-saving simulation method, see Figure 1 , the method comprising:

[0071] S100: Establish a model of the air film system, and set temperature monitoring points inside the air film system model.

[0072] Optionally, step S100 may set a character model in a specific area within the air film system model as a temperature monitoring point. Exemplarily, step S100 may set a character model in a central area within the air film system model as a temperature monitoring point.

[0073] S200: Set external conditions and continuously obtain the internal room temperature of the air membrane system model, adjust all controllable variable data of the air membrane system model, and obtain body temperature data based on temperature monitoring points to record the current controllable variable data combination and the current body temperature data as a set of test data.

[0074] Specifically, the external conditions include the external light beam direction and light intensity parameters of the air film system model of solar radiation. In a specific embodiment, the method proposed in this embodiment establishes a database including longitude and latitude, time, external light beam direction and light intensity parameters. Step S200 can allow the user to set the longitude and latitude and time to call the external light beam direction and light intensity parameters in the database as external conditions based on the input information including longitude and latitude and time.

[0075] The controllable variable data include the air supply speed value and air supply temperature value of the air membrane system model. In other embodiments, the controllable variable data may also include but are not limited to the number of air supply surfaces of the air membrane system model, the position of the air supply surfaces, the internal pressure value of the air membrane system model, the air supply direction of the air membrane system model and other data.

[0076] In this embodiment, the calculation software ANSYS Workbench is used to select a compiled user defined function (UDF) in the function tab of ANSYS Fluent to upload the corresponding compiled source code to assist the calculation, and a macro function that defines a boundary condition profile in ANSYS is defined and a real number variable is defined in the UDF to obtain and store the current supply air temperature, and the temperature value at the current position (position) and thread (thread) inside the air film system is obtained as the room temperature through the macro function (thread, position) provided by it;

[0077] It should be noted that ANSYS Workbench is an integrated engineering simulation platform developed by ANSYS, an American company. ANSYS Workbench provides engineers and researchers with a unified interface and back-end computing engine for various engineering simulation analyses. ANSYS Fluent is part of the ANSYS Workbench software platform. As a fluid mechanics simulation tool, ANSYS Fluent can be run and managed on the ANSYS Workbench platform. Users can set up models, solve problems, and analyze results through the unified environment in Workbench.

[0078] A macro is a script or program written in ANSYS Fluent's built-in programming language (Scheme language). Through macros, users can access and operate various functions and data of Fluent, such as physical quantities such as temperature in the scene, geometric information, and boundary conditions, thereby obtaining the temperature value at the specified position and thread by obtaining the position (position) and obtaining the thread (thread), and finally determining the room temperature.

[0079] Preferably, step S200 can selectively adjust the supply air temperature based on the room temperature inside the air membrane system model. In this method, three different temperature intervals are divided to determine the supply air temperature in the controllable variable data based on the temperature interval in which the room temperature is located. In a specific embodiment, the temperature intervals are divided into temperature intervals greater than 30°C, 25°C-30°C, and 20°C-25°C. The controllable variable data correspondingly include a first supply air temperature when the room temperature is greater than 30°C, a second supply air temperature when the room temperature is between 25°C and 30°C, and a third supply air temperature when the room temperature is between 20°C and 25°C. It should be noted that the first supply air temperature is not higher than the second supply air temperature, and the second supply air temperature is not higher than the third supply air temperature, and the values ​​of the first supply air temperature, the second supply air temperature, and the third supply air temperature need to be within the optional supply air temperature interval of the air membrane system;

[0080] Exemplarily, the first supply air temperature can be set to 10°C when the room temperature is greater than 30°C, the second supply air temperature can be set to 15°C when the room temperature is between 25°C and 30°C, the third supply air temperature can be set to 18°C ​​when the room temperature is between 20°C and 25°C, and the supply air temperature when the room temperature is below 20°C is the current room temperature.

[0081] In a specific embodiment, the same set of first supply air temperature, second supply air temperature and third supply air temperature data is determined by the enthalpy-humidity diagram of the air conditioner in the air membrane system and its corresponding functional segment air inlet and outlet temperature table. The method can also continuously obtain the humidity inside the air membrane system model in step S200, and find a suitable supply air temperature matching the current indoor temperature and humidity conditions on the enthalpy-humidity diagram according to the design and requirements of the air membrane system;

[0082] It should be noted that the psychrometric chart is a chart that shows the enthalpy value of air under different temperature and humidity conditions. Through the psychrometric chart, we can understand the physical state and thermodynamic properties of air under given environmental conditions, including dry bulb temperature, relative humidity and other related parameters. The psychrometric chart can show various physical properties of air under different environmental conditions, such as humidity and enthalpy. By matching the current dry bulb temperature and humidity combination with the known enthalpy curve, it can help determine the appropriate supply air temperature for each temperature range.

[0083] For example, please refer to Figure 3 The enthalpy-humidity diagram and its corresponding functional segment air inlet and outlet temperatures are shown in Table 1. This method can be used according to Table 1. Figure 3 A set of optional first supply air temperature, second supply air temperature and third supply air temperature data are determined on the illustrated psychrometric chart.

[0084] Table 1 Functional section air inlet and outlet temperature table

[0085]

[0086] In other embodiments, two or more than three different temperature intervals may be divided to determine the supply air temperature in the controllable variable data based on the temperature interval in which the room temperature is located.

[0087] Similarly, the present method can also determine the supply air speed in the controllable variable data based on the temperature range of the room temperature. For example, the controllable variable data can include a first supply air speed when the room temperature is greater than 30°C, a second supply air speed when the room temperature is between 25°C and 30°C, and a third supply air speed when the room temperature is between 20°C and 25°C. It should be noted that the first supply air speed is not lower than the second supply air speed, and the second supply air speed is not lower than the third supply air speed, and the values ​​of the first supply air speed, the second supply air speed and the third supply air speed need to be within the optional supply air speed range of the air membrane system.

[0088] In this embodiment, in step S200, after the internal room temperature changes within a preset range for more than a preset time, the temperature of the human body model serving as the temperature detection point is recorded as the current sensible temperature data. In other embodiments, after the internal room temperature changes within a preset range for more than a preset time, the average temperature of the human body model in this time period is recorded as the current sensible temperature data; illustratively, when the preset range is 1°C and the preset time is 10 minutes, if the internal room temperature changes within 1°C for more than 10 minutes, the temperature of the human body model at this time is recorded as the current sensible temperature data.

[0089] S300: repeatedly adjusting the controllable variable data until corresponding test data is generated based on the optional combination of all controllable variable data, and then screening all test data to retain the test data whose body temperature data meets the preset temperature condition as the selected data.

[0090] In a specific embodiment, the perceived temperature data in the temperature range of 26°C-28°C meets the preset temperature condition in step S300. In other embodiments, the perceived temperature data in other temperature ranges can be preset to meet the preset temperature condition in step S300.

[0091] S400: Calculate the power required for applying each group of candidate data respectively, so as to determine the controllable variable data combination in the candidate data with the lowest power consumption as the optimal adjustment option for the air membrane system under the current external conditions.

[0092] In this embodiment, the power consumption is obtained by the air supply temperature of each air supply surface in the air film system model, the area of ​​each air supply surface and the room temperature inside the air film system, and the formula is:

[0093]

[0094] Among them, P Trepresents the total power consumption, n represents the number of air supply surfaces, P i represents the power consumption of the ith air supply surface, q represents the proportionality coefficient, A i represents the area of ​​the ith air supply surface, T si represents the air supply temperature of the ith air supply surface, T r Represents the room temperature inside the air film system.

[0095] S500: Apply the optimal adjustment selection to the actual air membrane system, obtain the internal room temperature and power consumption of the air membrane system and generate field data, so as to correct the air membrane system model based on the field data.

[0096] Specifically, see Figure 2 , step S100 includes:

[0097] S110: Establish an air film system model and perform mesh division on the air film system model.

[0098] Specifically, step S110 is to establish a three-dimensional model of the air film system including the fan and the ventilation port by using SketchUp software, and import the established three-dimensional model of the air film system into the Space Claim module in the computing software ANSYS Workbench, and then mesh the model;

[0099] Then, in step S110, the three-dimensional model of the air film system imported into the Space Claim module in the calculation software ANSYS Workbench is transferred to the Mechanical module, so as to perform calculation mesh division on the three-dimensional model of the air film system using the Quadrilateral Dominant division type.

[0100] It should be noted that SketchUp is a 3D modeling software widely used in the fields of architecture, engineering, game development, urban planning, etc. It can quickly model, edit and organize complex 3D scenes and structures such as buildings, furniture, landscapes, etc., and supports exporting models into different file formats;

[0101] Space Claim is a module in ANSYS Workbench that is dedicated to geometry modeling and geometry processing. It can perform geometry repair, geometry editing and geometry preparation.

[0102] The Mechanical module is an engineering simulation module in ANSYS Workbench, which is dedicated to structural mechanics analysis. It provides a wide range of analysis tools and functions for simulating and evaluating the response and performance of various engineering structures under different loading conditions. Quadrilateral Dominant type meshing will use quadrilateral elements as much as possible. Quadrilateral elements can provide better numerical stability and computational efficiency in some cases to divide the model into mesh units suitable for simulation analysis.

[0103] S120: Setting parameters of the air film system model, and setting a human model in a specific area within the air film system model as a temperature monitoring point.

[0104] In step S120, the three-dimensional model of the air film system with the calculation grid divided is imported into the ANSYS Fluent module for parameter setting and calculation. It should be noted that ANSYS Fluent is a tool in the ANSYS software family for fluid mechanics simulation. By importing the three-dimensional model of the air film system into Fluent, the user can perform detailed analysis of fluid flow, heat transfer, chemical reaction, etc. in a special environment. In ANSYS Fluent, the user can perform a series of parameter settings to define the simulation conditions and assumptions, including but not limited to the physical properties of the fluid, boundary conditions (such as inlet velocity, outlet pressure, wall conditions), fluid model selection (such as Reynolds-averaged Navier-Stokes equations), numerical format (such as discrete method and iteration setting), etc. After all parameters are set, the fluid mechanics simulation can be calculated.

[0105] In this embodiment, the parameters of the air membrane system model set in step S120 include but are not limited to the physical properties of the air membrane system model material, the air intake mode and return air mode of the air membrane system model, and the internal and external wind flow fields of the air membrane system model. It should be noted that the air intake mode of the air membrane system is a method of introducing fresh air, and the return air mode is a method of exhausting indoor air. The air intake mode and return air mode respectively refer to the settings of the air inlet and return air outlet and the position arrangement of the air inlet and return air outlet. By setting reasonable air intake mode and return air mode, the air membrane system can achieve effective air flow and circulation, thereby ensuring the quality and comfort of the air in the internal space of the air membrane.

[0106] Specifically, the internal and external wind flow fields of the air film system are numerically simulated by the SST (Shear Stress Transport) model. The accuracy of the numerical solution is verified in the CFD (Computational Fluid Dynamics) simulation through the continuity equation, and the motion state of the fluid is described by the momentum equation. By solving the momentum equation, the velocity distribution of the fluid in space and time can be obtained, thereby predicting the changes and behaviors of the fluid motion. The continuity equation is:

[0107]

[0108] The momentum equation is:

[0109]

[0110] in

[0111] In the formula, ρ represents the density of the medium, t represents the time, represents the rate of change of fluid density over time, x represents the coordinates in three-dimensional space, i and j represent the indexes of spatial coordinates, represents the rate of change of fluid density with space, u i 、u j represents the density of the medium, that is, the component of the fluid velocity in the i and j directions, σ ij represents the stress tensor describing the internal stress distribution of the fluid, δ ij represents the second-order unit tensor, τ ij represents the component of the viscous stress tensor, p represents the pressure, μ represents the dynamic viscosity of the fluid, S i is the external force exerted on the fluid per unit time in unit volume, i.e., the source term;

[0112] In this embodiment, the air flow of the air film system is manifested as a three-dimensional turbulent reaction flow. Therefore, a two-equation model based on k-ε is used to close the turbulence control equation, and the Reynolds average equation is used as the control equation. The SST model describes the evolution and transmission process of turbulent kinetic energy and turbulent energy dissipation rate in the wind flow field inside and outside the air film system model through the k equation and the ε equation.

[0113] The k equation is:

[0114]

[0115] The ε equation is:

[0116]

[0117] In the formula, k represents the turbulent kinetic energy, ε represents the turbulent kinetic energy dissipation rate, G k is the turbulent kinetic energy generation term, G bis the turbulent kinetic energy generation term generated by buoyancy, ρε represents the density-weighted average of the turbulent kinetic energy dissipation rate, σ k represents the Planck number of k, σ ε represents the Planck number of ε, Y M Substitute for the additional term resulting from the effect of turbulent pulsation expansion on the total dissipation rate, S k , S ε With S i As source terms, v represents the flow velocity of the fluid, c 1 、c 2 、c 3 are empirical constants used to model the turbulence generation and dissipation processes.

[0118] On this basis, the method proposed in this embodiment adopts the turbulence model (SST k-ε) selection and the solver (second-order upwind scheme) selection, which ensures that the numerical simulation results with at least second-order accuracy can be obtained under unconditional stability. Under complex flow conditions, the simulation of this method will be more accurate and reliable, and the calculation efficiency is well balanced.

[0119] It should be noted that the SST k-ε model is a two-equation turbulence model that combines the advantages of the k-ε model and the k-ω model. The SST k-ε model performs well in turbulent boundary layers and free streams, can provide a more accurate description of turbulent viscosity and flow characteristics, and avoids the free stream sensitivity near the edge of the boundary layer. It has a better convergence speed and is suitable for the simulation of complex flow conditions.

[0120] The solver is a numerical method used to solve the fluid dynamics equations. The second-order upwind format is a numerical format used for spatial discretization with second-order accuracy. The solver performs well in terms of stability and numerical dissipation. The second-order accuracy means that the error of the numerical solution decreases with the square of the grid size.

[0121] Specifically, the formula selected by the turbulence model (SST k-ε), that is, the calculation formula for turbulent stress under the SST model is:

[0122]

[0123] Among them, τ represents the turbulent gravity, μ t represents the turbulent dynamic viscosity, represents the velocity difference between the two fluid layers, represents the distance difference between the two fluid layers, represents the velocity gradient, that is, the velocity change per unit distance, S represents the shear rate, and a 1 is an empirical constant, Production(P k) represents the generation rate of turbulent kinetic energy, and Dissipation(ε) represents the dissipation rate of turbulent kinetic energy.

[0124] The formula selected by the solver (second-order upwind scheme) is:

[0125]

[0126] Among them, a C 、a E 、a W 、a EE 、a WW Represent different main node coefficients, which are used to adjust or mix contributions from different directions. They represent different correction factors, which are used to correct or improve the prediction ability of the model in different directions. represent the flux of turbulent kinetic energy and turbulent dissipation rate, that is, the mass flow rate on the surface, represents the flux correction factor, which is used to adjust or improve the calculation of the flux on the surface. Represents the mass flow rate in the uncorrected or base state and is used as a basis for calculating the corrected flux.

[0127] Example 2

[0128] This embodiment proposes an air film system energy-saving simulation device for implementing the method proposed in embodiment 1, see Figure 4 , the device comprises:

[0129] The setting module 10 is used to establish a model of the air film system and set a temperature monitoring point inside the air film system model;

[0130] The recording module 20 is used to set external conditions and continuously obtain the internal room temperature of the air film system model, adjust all controllable variable data of the air film system model, and obtain the body temperature data based on the temperature monitoring point, so as to record the current controllable variable data combination and the current body temperature data as a set of test data;

[0131] A screening module 30 is used to repeatedly adjust the controllable variable data until corresponding test data is generated based on the optional combination of all controllable variable data, and then screen all test data to retain the test data whose body temperature data meets the preset temperature condition as the selected data;

[0132] The calculation module 40 is used to calculate the power required for applying each group of candidate data, so as to determine the controllable variable data combination in the candidate data with the lowest power consumption as the optimal adjustment option of the air membrane system under the current external conditions;

[0133] The verification module 50 is used to apply the optimal adjustment selection to the actual air membrane system, obtain the internal room temperature and power consumption of the air membrane system and generate field data to correct the air membrane system model based on the field data.

[0134] Specifically, the external conditions include the external light beam direction and light intensity parameters of the air film system model caused by solar radiation. In a specific embodiment, the method proposed in this embodiment establishes a database including longitude and latitude, time, external light beam direction and light intensity parameters. The recording module 20 can allow the user to set the longitude and latitude and time to call the external light beam direction and light intensity parameters in the database as external conditions based on the input information including longitude and latitude and time.

[0135] In a specific embodiment, the body temperature data in the temperature range of 26° C.-28° C. meets the preset temperature condition of the screening module 30 .

[0136] In this embodiment, the calculation module 40 calculates the power consumption by the air supply temperature of each air supply surface in the air film system model, the area of ​​each air supply surface and the room temperature inside the air film system. The formula is:

[0137]

[0138] Among them, P T represents the total power consumption, n represents the number of air supply surfaces, P i represents the power consumption of the ith air supply surface, q represents the proportionality coefficient, A i represents the area of ​​the ith air supply surface, T si represents the air supply temperature of the ith air supply surface, T r Represents the room temperature inside the air film system.

[0139] Specifically, the setting module 10 includes:

[0140] Establishing unit 11, used for establishing an air film system model and performing mesh division on the air film system model;

[0141] The setting unit 12 is used to set the parameters of the air film system model and set the human model in a specific area within the air film system model as a temperature monitoring point.

[0142] Specifically, the three-dimensional model of the air membrane system established by the establishment unit 11 includes a fan and a ventilation port, and the parameters of the air membrane system model set by the setting unit 12 include the physical properties of the air membrane system model material, the air intake and return air methods of the air membrane system model, and the internal and external wind flow fields of the air membrane system model.

[0143] Preferably, the recording module 20 includes:

[0144] A division unit 21, used to divide at least two temperature intervals, set corresponding controllable variable data for different temperature intervals as the current controllable variable data combination, and determine the currently used controllable variable data based on the temperature interval where the internal room temperature is located;

[0145] The storage unit 22 is used to obtain the current sensible temperature data based on the temperature monitoring point when the internal room temperature changes within the preset range for more than a preset time, so as to record the controllable variable data combination and the sensible temperature data as a set of test data.

[0146] In this embodiment, the controllable variable data include the air supply speed value and air supply temperature value of the air membrane system model. In other embodiments, the controllable variable data may also include but are not limited to the number of air supply surfaces of the air membrane system model, the position of the air supply surfaces, the internal pressure value of the air membrane system model, the air supply direction of the air membrane system model and other data.

[0147] Example 3

[0148] This embodiment proposes an air film system, and the air film system applies the method proposed in Embodiment 1, namely:

[0149] S100: Establish a model of the air film system and set a temperature monitoring point inside the air film system model;

[0150] S200: setting external conditions and continuously obtaining the internal room temperature of the air film system model, adjusting all controllable variable data of the air film system model, and obtaining body temperature data based on the temperature monitoring point, so as to record the current controllable variable data combination and the current body temperature data as a set of test data;

[0151] S300: repeatedly adjusting the controllable variable data until corresponding test data is generated based on the optional combination of all controllable variable data, and then screening all test data to retain the test data whose body temperature data meets the preset temperature condition as the candidate data;

[0152] S400: Calculate the power required for applying each group of candidate data respectively, so as to determine the controllable variable data combination in the candidate data with the lowest power consumption as the optimal adjustment option of the air membrane system under the current external conditions;

[0153] S500: Apply the optimal adjustment selection to the actual air membrane system, obtain the internal room temperature and power consumption of the air membrane system and generate field data, so as to correct the air membrane system model based on the field data.

[0154] Specifically, the air membrane system proposed in this embodiment will establish a proportional air membrane system model through the method proposed in Example 1, so as to set external conditions that are the same or similar to the actual situation in step S200, so as to make corresponding adjustments through the optimal adjustment selection calculated in step S400, and at the same time, the air membrane system model established in step S100 can be corrected through step S500.

[0155] To summarize, the present invention proposes an energy-saving simulation method, device and air membrane system for an air membrane system. The simulation method used in the scheme proposed in the present invention can quickly reflect the impact of changes in external conditions on the air membrane system by establishing a model of the air membrane system and setting temperature monitoring points. Therefore, the air membrane system can be monitored and adjusted in real time, which helps to cope with seasonal changes and climate fluctuations and greatly reduces the cost required for testing. While ensuring the comfortable temperature felt by people in the space, the power consumption is reduced to a minimum, effectively reducing energy consumption and meeting the requirements of sustainable development.

[0156] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. An air film system energy-saving simulation method, characterized in that: The method comprises: Establishing a model of an air film system, and setting a temperature monitoring point inside the air film system model; Setting external conditions and continuously obtaining the internal room temperature of the air membrane system model, adjusting all controllable variable data of the air membrane system model, and obtaining the body temperature data based on the temperature monitoring point, so as to record the current controllable variable data combination and the current body temperature data as a set of test data; Repeating the adjustment of the controllable variable data until corresponding test data is generated based on the optional combination of all the controllable variable data, screening all the test data to retain the test data whose body temperature data meets the preset temperature condition as the candidate data; The power consumption required for applying each group of the candidate data is calculated respectively, so as to determine the controllable variable data combination in the candidate data with the lowest power consumption as the optimal adjustment option for the air membrane system under the current external conditions.

2. The air film system energy-saving simulation method according to claim 1 is characterized in that: The "establishing a model of the air film system and setting temperature monitoring points inside the air film system model" includes: Establishing the air film system model and performing mesh division on the air film system model; The parameters of the air membrane system model are set, and the character model in a specific area within the air membrane system model is set as the temperature monitoring point; the parameters of the air membrane system model include the physical properties of the air membrane system model material, the air intake and return air methods of the air membrane system model, and the internal and external wind flow fields of the air membrane system model.

3. The air film system energy-saving simulation method according to claim 2 is characterized in that: The internal and external wind flow fields of the air film system model are realized by numerically simulating the SST model, verifying the accuracy of the numerical solution in the simulation through the continuity equation, and describing the motion state of the fluid through the momentum equation, wherein: The continuity equation is: The momentum equation is: among them ij =pδ ij -t ij , In the formula, ρ represents the density of the medium, t represents the time, represents the rate of change of fluid density over time, x represents the coordinates in three-dimensional space, i and j represent the indexes of spatial coordinates, represents the rate of change of fluid density with space, u i 、u j represents the density of the medium, that is, the component of the fluid velocity in the i and j directions, σ ij represents the stress tensor describing the internal stress distribution of the fluid, δ ij represents the second-order unit tensor, τ ij represents the component of the viscous stress tensor, p represents the pressure, μ represents the dynamic viscosity of the fluid, S i is the source term; The SST model describes the evolution and transmission process of turbulent kinetic energy and turbulent energy dissipation rate in the wind flow field inside and outside the air film system model through the k equation and the ε equation, where: The k equation is: The ε equation is: In the formula, k represents the turbulent kinetic energy, ε represents the turbulent kinetic energy dissipation rate, G k is the term for turbulent kinetic energy generation, G b is the turbulent kinetic energy generation term generated by buoyancy, ρε represents the density-weighted average of the turbulent kinetic energy dissipation rate, σ k represents the Planck number of k, σ ε represents the Planck number of ε, Y M is the additional term caused by the effect of turbulent pulsation expansion on the total dissipation rate, S k , S ε is the source term, v represents the flow velocity of the fluid, and C1, C2, and C3 are empirical constants.

4. The air film system energy-saving simulation method according to claim 3 is characterized in that: The simulation of the internal and external wind flow fields of the air film system model is also achieved through turbulence model selection and solver selection, wherein: The formula for the turbulence model selection is: Where τ represents the turbulent gravity, μ t represents the turbulent dynamic viscosity, represents the velocity difference between the two fluid layers, represents the distance difference between the two fluid layers, represents velocity gradient, S represents shear rate, a1 is an empirical constant, Production(P k ) represents the generation rate of turbulent kinetic energy, and Dissipation (ε) represents the dissipation rate of turbulent kinetic energy; The formula selected by the solver is: In the formula, a C 、a E 、a W 、a EE 、a WW Represent different master node coefficients, Represent different correction factors, represent the flux of turbulent kinetic energy and turbulent dissipation rate, respectively, Represents the flux correction factor.

5. The air film system energy-saving simulation method according to claim 1, characterized in that: The external conditions include the external beam direction and illumination intensity parameters of the solar radiation on the air film system model, and the method further includes: In response to input information including longitude, latitude and time, external light beam direction and light intensity parameters in a preset database are called as the external conditions based on the input information.

6. The air film system energy-saving simulation method according to claim 1, characterized in that: The "adjusting all controllable variable data of the air film system model, and acquiring the body temperature data based on the temperature monitoring point, so as to record the current controllable variable data combination and the current body temperature data as a set of test data" includes: Dividing at least two temperature intervals, setting corresponding controllable variable data for different temperature intervals as current controllable variable data combinations, and determining currently used controllable variable data based on the temperature interval in which the internal room temperature is located; If the change range of the internal room temperature is within the preset range for more than a preset time, the current sensible temperature data is obtained based on the temperature monitoring point to record the controllable variable data combination and the sensible temperature data as a set of test data.

7. The air film system energy-saving simulation method according to claim 1, characterized in that: The formula for calculating the electrical power is: Where P T represents the total power consumption, n represents the number of air supply surfaces in the air film system model, P i represents the power consumption of the ith air supply surface, q represents the proportionality coefficient, A i represents the area of ​​the ith air supply surface, T si represents the air supply temperature of the ith air supply surface, T r Represents the internal room temperature of the air-film system model.

8. The air film system energy-saving simulation method according to any one of claims 1 to 7, characterized in that: The method further comprises: The optimal adjustment selection is applied to an actual air membrane system, the internal room temperature and power consumption of the air membrane system are obtained and field data is generated, so as to correct the air membrane system model based on the field data.

9. An air film system energy-saving simulation device, characterized in that: The device comprises: A setting module, used to establish a model of the air film system and set temperature monitoring points inside the air film system model; A recording module, used to set external conditions and continuously obtain the internal room temperature of the air film system model, adjust all controllable variable data of the air film system model, and obtain body temperature data based on the temperature monitoring point, so as to record the current controllable variable data combination and the current body temperature data as a set of test data; A screening module, used for repeatedly adjusting the controllable variable data until corresponding test data is generated based on the optional combination of all the controllable variable data, and screening all the test data to retain the test data whose body temperature data meets the preset temperature condition as the selected data; The calculation module is used to respectively calculate the power required for applying each group of the candidate data, so as to determine the controllable variable data combination in the candidate data with the lowest power consumption as the optimal adjustment option for the air membrane system under the current external conditions.

10. An air film system, characterized in that: The air film system applies the method described in any one of claims 1-8.

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