阅读说明：本技术 一种基于cfd技术降低空调能耗的方法 (Method for reducing energy consumption of air conditioner based on CFD technology ) 是由 张熠 李杨 秦园莉 冯玉龙 赵宁宁 杨国龙 于 2021-07-15 设计创作，主要内容包括：本发明涉及离合器领域,具体为一种基于CFD技术降低空调能耗的方法,包括信号输入模块,控制器和信号接收模块、SMITH预估控制算法和CFD软件模拟系统；信号输入模块：设定输入值,并向控制器发出控制指令；控制器：将信号输入模块输出的控制指令进行传递,并最终传递至信号接收模块；信号接收模块：将控制器传递的控制指令接收,并向空调控制器下达控制指令,调控空调设备；SMITH预估控制算法：包括SMITH预估器,SMITH预估器在向信号接收模块发送补偿信号指令；CFD软件模拟系统：通过流体力学实现流速、构建CFD数据化模型,本发明可以在工程建设前直观的测试出建筑耗能对空调能源消耗的影响,从而优化建筑设计,减小建筑耗能,通常可以降低空调能耗5-10％左右。(The invention relates to the field of clutches, in particular to a method for reducing energy consumption of an air conditioner based on a CFD (computational fluid dynamics) technology, which comprises a signal input module, a controller, a signal receiving module, an SMITH (SMITH prediction control algorithm) and a CFD software simulation system, wherein the signal input module is connected with the controller; a signal input module: setting an input value and sending a control instruction to a controller; a controller: transmitting the control instruction output by the signal input module, and finally transmitting the control instruction to the signal receiving module; a signal receiving module: receiving a control instruction transmitted by the controller, issuing the control instruction to the air conditioner controller, and regulating and controlling the air conditioning equipment; SMITH estimation control algorithm: the SMITH predictor sends a compensation signal instruction to the signal receiving module; CFD software simulation system: the invention can visually test the influence of building energy consumption on air conditioner energy consumption before engineering construction by realizing flow velocity and constructing a CFD (computational fluid dynamics) data model through hydrodynamics, thereby optimizing building design, reducing building energy consumption and generally reducing the air conditioner energy consumption by about 5-10%.)

1. A method for reducing energy consumption of an air conditioner based on a CFD technology is characterized in that: the SMITH prediction control system comprises a signal input module, a controller, a signal receiving module, an SMITH prediction control algorithm and a CFD software simulation system;

the signal input module: setting an input value and sending a control instruction to a controller;

the controller: transmitting the control instruction output by the signal input module, and finally transmitting the control instruction to the signal receiving module;

the signal receiving module: receiving a control instruction transmitted by the controller, issuing the control instruction to the air conditioner controller, and regulating and controlling the air conditioning equipment;

the SMITH estimation control algorithm comprises the following steps: the SMITH predictor sends a compensation signal instruction to the signal receiving module;

the CFD software simulation system comprises: and realizing flow velocity and constructing a CFD (computational fluid dynamics) data model through fluid mechanics.

2. The method for reducing the energy consumption of the air conditioner based on the CFD technology is characterized in that the method comprises the following steps: the output end of the input module is connected with the input end of the controller, and the output end of the controller is connected with the input end of the signal receiving module.

3. The method for reducing the energy consumption of the air conditioner based on the CFD technology is characterized in that the method comprises the following steps: the controller is connected with the SMITH predictor in parallel.

4. The method for reducing the energy consumption of the air conditioner based on the CFD technology is characterized in that the method comprises the following steps: the input end of the SMITH predictor is connected with a signal input module, and the output end of the SMITH predictor is connected with a signal output module.

5. The method for reducing the energy consumption of the air conditioner based on the CFD technology is characterized in that the method comprises the following steps: the input end of the SMITM predictor is also connected with the output end of the CFD software simulation system.

6. The method for reducing the energy consumption of the air conditioner based on the CFD technology is characterized in that the method comprises the following steps: the establishment of the CFD data model comprises the following steps:

s1: preprocessing, establishing mathematical physics;

s2: a solver, determining a control equation of the CFD method, selecting a discrete method for discretization, selecting a numerical calculation method and inputting relevant parameters;

s3: post-processing, computer visualization and animation processing of velocity fields, temperature fields, pressure fields and other parameters.

7. The method for reducing the energy consumption of the air conditioner based on the CFD technology is characterized in that the method comprises the following steps: the geometric model parameters are selected from ventilation air-conditioning room airflow prevention parameters, environment analysis parameters outside buildings and indoor air quality parameters.

8. The method for reducing the energy consumption of the air conditioner based on the CFD technology as claimed in claim 7, wherein: the control equation of the CFD method comprises a mass conservation equation, an energy conservation equation and a momentum conservation equation.

Technical Field

The invention relates to the technical field of energy conservation, in particular to a method for reducing energy consumption of an air conditioner based on a CFD technology.

Background

In a large building, due to various reasons such as design, materials and the like, energy waste is huge, building energy consumption has a large energy-saving space, wherein the energy consumption of a central air conditioner usually accounts for more than half of the energy consumption, the central air conditioner generally has the problem of energy waste, and the energy-saving space has a large energy-saving potential.

The central air conditioner has low energy consumption utilization efficiency, and currently, the following main problems are worth paying attention to:

firstly, the system of the central air conditioner has numerous variables, numerous components and numerous subsystems, the subsystems have mutual influence relations, the design of the system can not be based on the average load requirement, and generally needs to be concerned with the consideration of some extreme meteorological conditions, but the occurrence probability of the ideal state is low, so that the central air conditioner always runs under the condition of partial load when running in real time, and the phenomenon of energy consumption waste of the central air conditioner is caused by too low load rate.

Secondly, the operation strategy of the central air conditioner is unreasonable, the energy consumption is generated by artificial unreasonable setting, most central air conditioning systems lack effective control means, and the starting strategy is not formulated according to instruments, air conditioner operation parameters and related operation conditions.

And thirdly, the central air-conditioning control system is weak, the central air-conditioning system has a plurality of variables and high system complexity, a set of refined and reasonable automatic control system is lacked, the design of the control systems often cannot provide real-time operation conditions, and the refrigeration effect of a user side cannot be mastered in time.

Therefore, a method for reducing the energy consumption of the air conditioner based on the CFD technology is provided.

Disclosure of Invention

The invention aims to provide a method for reducing the energy consumption of an air conditioner based on a CFD (computational fluid dynamics) technology, which comprises a signal input module, a controller, a signal receiving module, an SMITH (SMITH prediction control algorithm) and a CFD software simulation system, wherein the signal input module is connected with the controller;

the signal input module: setting an input value and sending a control instruction to a controller;

the controller: transmitting the control instruction output by the signal input module, and finally transmitting the control instruction to the signal receiving module;

the signal receiving module: receiving a control instruction transmitted by the controller, issuing the control instruction to the air conditioner controller, and regulating and controlling the air conditioning equipment;

the SMITH estimation control algorithm comprises the following steps: the SMITH predictor sends a compensation signal instruction to the signal receiving module;

the CFD software simulation system comprises: and realizing flow velocity and constructing a CFD (computational fluid dynamics) data model through fluid mechanics.

Preferably: the output end of the input module is connected with the input end of the controller, and the output end of the controller is connected with the input end of the signal receiving module.

Preferably: the controller is connected with the SMITH predictor in parallel.

Preferably: the input end of the SMITH predictor is connected with a signal input module, and the output end of the SMITH predictor is connected with a signal output module.

Preferably: the input end of the SMITM predictor is also connected with the output end of the CFD software simulation system.

Preferably: the establishment of the CFD data model comprises the following steps:

s1: preprocessing, establishing mathematical physics;

s2: a solver, determining a control equation of the CFD method, selecting a discrete method for discretization, selecting a numerical calculation method and inputting relevant parameters;

s3: post-processing, computer visualization and animation processing of velocity fields, temperature fields, pressure fields and other parameters.

Preferably: the geometric model parameters are selected from ventilation air-conditioning room airflow prevention parameters, environment analysis parameters outside buildings and indoor air quality parameters.

Preferably: the control equation of the CFD method comprises a mass conservation equation, an energy conservation equation and a momentum conservation equation.

The SMITH predictive control algorithm is a control strategy designed for a purely hysteretic system, with hysteresis meaning that one thing appears or develops later than expected, or that the other thing associated therewith appears or develops later. Hysteresis has the meaning of lagging due to stagnation or retardation;

CFD is computational fluid dynamics, and is a product of recent fluid mechanics, numerical mathematics and computer science, and is a cross science with strong vitality, which is to approximately express integral and differential terms in a control equation of fluid mechanics as discrete algebraic forms so as to form an algebraic equation system, and then solve the discrete algebraic equation system through a computer to obtain a numerical solution at discrete time/space points.

Compared with the prior art, the invention has the beneficial effects that:

according to the invention, the influence of building energy consumption on air conditioner energy consumption can be visually tested before engineering construction by establishing a mathematical equation model and comparing the influence of various factors such as flow velocity, temperature, pressure and the like through a CFD (computational fluid dynamics) technology, so that the building design is optimized and the building energy consumption is reduced; the CFD visualization model can enable the result of the building energy consumption to be rapidly calculated through an equation, the efficiency of building design is improved, and the CFD simulation technology and the algorithm optimization scheme can generally reduce the air conditioner energy consumption by about 5-10%.

Drawings

FIG. 1 is a flow chart of a method for reducing energy consumption of an air conditioner based on CFD technology according to the present invention;

FIG. 2 is a SMITH prediction control algorithm diagram;

FIG. 3 is a diagram illustrating the combination of CFD and SMITH prediction control algorithm.

In the figure: r, a set value; g(s), the subject does not contain a pure lag part of the transfer function; e.g. of the type^-rsAnd a transfer function of the portion of the object after pure retention.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

Referring to fig. 1-3, a method for reducing energy consumption of an air conditioner based on CFD technology according to a preferred embodiment of the present invention includes a signal input module, a controller and a signal receiving module, a SMITH predictive control algorithm, and a CFD software simulation system;

the signal input module: setting an input value and sending a control instruction to a controller;

the controller: transmitting the control instruction output by the signal input module, and finally transmitting the control instruction to the signal receiving module;

the signal receiving module: receiving a control instruction transmitted by the controller, issuing the control instruction to the air conditioner controller, and regulating and controlling the air conditioning equipment;

the SMITH estimation control algorithm comprises the following steps: the SMITH predictor sends a compensation signal instruction to the signal receiving module;

the CFD software simulation system comprises: and realizing flow velocity and constructing a CFD (computational fluid dynamics) data model through fluid mechanics.

The output end of the input module is connected with the input end of a controller, the output end of the controller is connected with the input end of the signal receiving module, the controller is connected with the SMITH pre-estimator in parallel, and the SMITH pre-estimator inputs a compensation parameter instruction to the signal receiving module, so that the signal receiving module works according to the closest set value.

The input end of the SMITH predictor is connected with a signal input module, the output end of the SMITH predictor is connected with a signal output module, and the input end of the SMITM predictor is also connected with the output end of a CFD software simulation system; through the establishment of a CFD data model and an optimized calculation mode, the compensation value input by the SMITM estimation algorithm is more accurate, so that the actual output value is closer to a set value, and the energy consumption is reduced.

The establishment of the CFD data model comprises the following steps: s1: preprocessing, establishing mathematical physics; s2: a solver, determining a control equation of the CFD method, selecting a discrete method for discretization, selecting a numerical calculation method and inputting relevant parameters; s3: post-processing, computer visualization and animation processing of a speed field, a temperature field, a pressure field and other parameters, wherein the geometric model parameters are selected from ventilation air-conditioning room airflow blocking parameters, environment analysis parameters outside a building and indoor air quality parameters, and control equations of the CFD method comprise a mass conservation equation, an energy conservation equation and a momentum conservation equation.

The working process and principle of the invention are as follows: a user constructs a digitalized visual model of the CFD by matching with control equations of a CFD method, namely a mass conservation equation, an energy conservation equation and a momentum conservation equation, through ventilation air-conditioning room airflow blocking parameter, an environment analysis parameter outside a building, an indoor air quality parameter, pressure intensity, flow rate, temperature and the like, inputs pre-designed house parameters and environment parameters into an optimization algorithm of the digitalized visual model of the CFD, calculates the most preferable energy loss compensation value, inputs the compensation value into a data receiving module through a SMITH predictor, so that the final actual predicted value is closer to a set value, and whether the building energy consumption of the modified design is higher or not is judged, and therefore the optimal building energy consumption scheme is optimized.

While the invention has been described in further detail in connection with specific embodiments thereof, it will be understood that the invention is not limited thereto, and that various other modifications and substitutions may be made by those skilled in the art without departing from the spirit of the invention, which should be considered to be within the scope of the invention as defined by the appended claims.