A temporary building air conditioning and heating operation optimization method, device, equipment and medium

Abstract

The application belongs to new energy and energy-saving technology, and specifically discloses a temporary building air-conditioning heating operation optimization method, device, equipment and medium; the temporary building thermodynamic model is built based on the building structure of the temporary building and the heat transfer principle, and the heat dissipation of the temporary building can be simply calculated through the model. By introducing the environmental factor, the heating model of the air conditioner is further optimized, and the heating effect of the air conditioner is more accurately calculated. Finally, taking the power consumption of the temporary building as the optimization target, a temporary building air-conditioning operation optimization model is constructed, the model is solved, and the curve of the number of air conditioners started in the temporary building changing with temperature is obtained. According to the outdoor temperature and the curve, the start-stop state of the indoor air conditioner is adjusted, so that the energy saving and environmental protection are realized while the heat load demand is met.

Description

Technical Field

[0001] This invention belongs to the field of new energy and energy-saving technologies, specifically relating to a method, device, equipment, and medium for optimizing the operation of air conditioning and heating in temporary buildings. Background Technology

[0002] Temporary buildings serve as temporary office spaces for various sectors. Winter outdoor temperatures are low, and snowfall is heavy, leading to a high heating load. Because these temporary buildings lack municipal heating and rely solely on air conditioning within the prefabricated structures, the village's temporary electricity load has been consistently high. In some prefabricated buildings, electric heating is being overused, with all indoor air conditioners turned on, resulting in significant energy waste and posing a potential hazard to the village's power grid. Summary of the Invention

[0003] In order to overcome the shortcomings of the prior art, the present invention aims to provide a method, device, equipment and medium for optimizing the operation of air conditioning and heating in temporary buildings, so as to solve the problem of continuous increase in temporary power load in temporary buildings, which causes a lot of energy waste.

[0004] To achieve the above objectives, the present invention employs the following technical solution:

[0005] In a first aspect, the present invention provides a method for optimizing the operation of air conditioning and heating in temporary buildings, comprising:

[0006] Step 1: Obtain the building structure of the temporary building; construct a thermodynamic model of the temporary building based on its building structure and heat transfer principles, and calculate the heat loss of the building;

[0007] Step 2: Build an air conditioning heating model, introduce environmental factors, and calculate the relationship between air conditioning electricity and heat;

[0008] Step 3: Select the power consumption of air conditioning in the temporary building as the optimization target, and build an air conditioning operation optimization model based on the calculation results of Step 1 and Step 2;

[0009] Step 4: Solve the air conditioning operation optimization model to obtain simulation results and the curve of the number of temporary building air conditioning units started as a function of temperature;

[0010] Step 5: Guide users to optimize air conditioning operation based on the curve of the number of temporary building air conditioners started versus temperature.

[0011] Furthermore, the thermodynamic model of the temporary building is as follows:

[0012]

[0013] In the formula:

[0014] Heat dissipation of temporary buildings, W;

[0015] The sum of the areas of the walls, roof, floor, and windows of the temporary building, m 2 ;

[0016] The heat transfer coefficient is W / m. 2 ·℃;

[0017] Indoor temperature, °C;

[0018] The outdoor temperature is in °C.

[0019] Furthermore, the air conditioning heating model is as follows:

[0020]

[0021] In the formula:

[0022] For the heat generated by the air conditioner, W;

[0023] This is an environmental factor that describes the degree to which air conditioning is affected by temperature.

[0024] This refers to the energy efficiency ratio of the air conditioner.

[0025] Input power to the air conditioner, W;

[0026] The power of the electric auxiliary heating for the air conditioner is measured in W.

[0027] Furthermore, the air conditioning operation optimization model is as follows:

[0028]

[0029] In the formula:

[0030] Let be the power of the i-th air conditioner, in W;

[0031] Let W be the electric auxiliary heating power of the i-th air conditioner;

[0032] n represents the number of air conditioners in the temporary building;

[0033] This represents the operating status of the i-th air conditioner, where 0 indicates it is off and 1 indicates it is on.

[0034] Furthermore, the constraints of the air conditioning operation optimization model include:

[0035]

[0036] In the formula:

[0037] Heat dissipation, W;

[0038] Let W be the heat output of the i-th air conditioner.

[0039] Furthermore, the constraints of the air conditioning operation optimization model also include:

[0040]

[0041] In the formula:

[0042] Let be the rated current of the i-th air conditioner, in A;

[0043] The rated current of the air conditioner's upstream switch is in A.

[0044] Furthermore, in step 4, the air conditioning operation optimization model is solved using the MATLAB+CPLEX method. The solution process includes:

[0045] Step 41: Download and install the cplex and yalmip software corresponding to your MATLAB version;

[0046] Step 42: Based on the number of air conditioners and the type of optimization problem, create decision variables and set the objective function in the MATLAB+YALMPP environment;

[0047] Step 43: Based on the energy utilization relationship, write the constraints;

[0048] Step 44: Set the solution parameters and use the optimize function to solve the problem.

[0049] Secondly, a temporary building air conditioning and heating operation optimization device includes:

[0050] The temporary building thermodynamic model building module is used to build a temporary building thermodynamic model based on the building structure and heat transfer principles of the temporary building, and to calculate the heat loss of the building.

[0051] An air conditioning heating model building module is used to incorporate environmental factors and calculate the electrothermal relationship of air conditioning.

[0052] The air conditioning operation optimization model building module is used to select the power consumption of air conditioning in temporary buildings as the optimization target, and build an air conditioning operation optimization model through the heat loss of the building and the relationship between air conditioning electricity and heat.

[0053] The model solving module is used to solve the air conditioning operation optimization model to obtain simulation results and the curve of the number of temporary building air conditioning starts as a function of temperature.

[0054] The optimized operation module guides users to optimize air conditioning operation based on the temperature variation curve of the number of temporary building air conditioners started.

[0055] Thirdly, a computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the temporary building air conditioning and heating operation optimization method described in any one of the above descriptions.

[0056] Fourthly, a computer-readable storage medium storing a computer program that, when executed by a processor, implements any one of the above-described methods for optimizing the operation of air conditioning and heating in temporary buildings.

[0057] The present invention has at least the following beneficial effects:

[0058] 1. This invention establishes a thermodynamic model for temporary buildings based on their structural design and heat transfer principles. This model allows for simple calculations of the heat dissipation of temporary buildings. By incorporating environmental factors, the heating model for air conditioning is further optimized, leading to more accurate calculations of the heating effect. Finally, using the power consumption of the temporary building as the optimization objective, an optimized operating model for the temporary building's air conditioning is constructed. Solving the model yields a curve showing the number of air conditioners activated as a function of temperature. Based on the outdoor temperature and this curve, the start / stop status of the indoor air conditioning is adjusted to meet heat load requirements while achieving energy conservation and environmental protection.

[0059] 2. This invention takes the operation mode of air conditioning in temporary buildings as the research object. By constructing a heat dissipation model, an air conditioning heating model, and an air conditioning operation optimization model for temporary buildings, the operation of temporary buildings can be optimized. While meeting the heat load demand and heating needs of users, it can effectively improve the utilization efficiency of air conditioning and energy utilization efficiency, and ensure the safe and stable operation of the power grid. Attached Figure Description

[0060] The accompanying drawings, which form part of this specification, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an undue limitation of the invention. In the drawings:

[0061] Figure 1 A flowchart illustrating a method for optimizing the operation of air conditioning and heating in temporary buildings;

[0062] Figure 2 This is a 24-hour outdoor temperature change curve;

[0063] Figure 3 A graph showing the heat dissipation of temporary buildings at different times;

[0064] Figure 4 For air conditioning environmental coefficient curve;

[0065] Figure 5 The curve showing the change in the number of air conditioners activated in temporary buildings as a function of outdoor temperature;

[0066] Figure 6 A bar chart showing the energy consumption of users adopting this invention;

[0067] Figure 7 This is a schematic diagram of a module for optimizing the operation of air conditioning and heating in temporary buildings. Detailed Implementation

[0068] The present invention will now be described in detail with reference to the accompanying drawings and embodiments. It should be noted that, unless otherwise specified, the embodiments and features described herein can be combined with each other.

[0069] The following detailed description is exemplary and intended to provide further detailed explanation of the invention. Unless otherwise specified, all technical terms used in this invention have the same meaning as commonly understood by one of ordinary skill in the art. The terminology used in this invention is for describing particular embodiments only and is not intended to limit the scope of exemplary embodiments according to the invention.

[0070] Example 1

[0071] A method for optimizing the operation of air conditioning and heating in temporary buildings, comprising:

[0072] Step 1: Building a Thermodynamic Model of the Temporary Building. To calculate the heat load demand within the temporary building and obtain its structural details, the following formula is used to calculate the building's heat loss based on heat transfer principles and the building's structure:

[0073]

[0074] In the formula:

[0075] Heat dissipation of temporary buildings, W;

[0076] m is the sum of the materials used for the walls, roof, floor, and windows of the temporary building. 2 ;

[0077] The heat transfer coefficient is W / m. 2 ·℃;

[0078] Indoor temperature, °C;

[0079] The outdoor temperature is in °C.

[0080] This embodiment uses a prefabricated house as an example to verify the method. The structural material data of the prefabricated house are shown in Table 1. The air conditioner is set to a heating temperature of 20℃, and the outdoor temperature over 24 hours is as follows: Figure 2 As shown, the room is equipped with 3 air conditioners, each with a rated current of 11A, and the upstream switch has a rated current of 63A.

[0081] Table 1. Material Data Sheet for Prefabricated Houses

[0082]

[0083] The heat dissipation of the temporary building at each time point can be obtained using the above formula. Figure 3 As shown.

[0084] Step 2: Build an air conditioner heating model. The electrothermal relationship of the air conditioner can be calculated using the following formula:

[0085]

[0086] In the formula:

[0087] For the heat generated by the air conditioner, W;

[0088] This is an environmental factor that describes the degree to which air conditioning is affected by temperature.

[0089] This refers to the energy efficiency ratio of the air conditioner.

[0090] Input power to the air conditioner, W;

[0091] The power of the electric auxiliary heating for the air conditioner is measured in W.

[0092] In this embodiment, four Midea KFR-35GW air conditioners are installed in the prefabricated house, and their parameters are shown in Table 2.

[0093] Table 2 Air Conditioner Parameter Table

[0094]

[0095] According to the above formula, the heating capacity of the air conditioner is:

[0096]

[0097] Among them, the air conditioning environmental coefficient With changes in outdoor temperature, such as Figure 4 As shown.

[0098] Step 3: Building an Air Conditioning Operation Optimization Model. The power consumption of the air conditioning system within the temporary building is selected as the optimization objective, as shown in the following formula:

[0099]

[0100] In the formula:

[0101] Let be the power of the i-th air conditioner, in W;

[0102] Let W be the electric auxiliary heating power of the i-th air conditioner;

[0103] n represents the number of air conditioners in the temporary building;

[0104] This represents the operating status of the i-th air conditioner, where 0 indicates it is off and 1 indicates it is on.

[0105] In order to meet the heat load requirements of temporary buildings, the heat dissipation of temporary buildings must be less than or equal to the heat generation, that is:

[0106]

[0107] In the formula:

[0108] Heat dissipation, W;

[0109] Let W be the heat output of the i-th air conditioner.

[0110] To ensure the safe and stable operation of the power grid, the air conditioning current in temporary buildings must be less than the rated current of the upstream switch, i.e.:

[0111]

[0112] In the formula:

[0113] Let be the rated current of the i-th air conditioner, in A;

[0114] The rated current of the air conditioner's upstream switch is in A.

[0115] Substitute the calculation results from steps 1 and 2 into the three formulas above. Build an air conditioning operation optimization model.

[0116] Step 4: Model Solving. Solving the air conditioning operation optimization model is a typical integer optimization problem. This paper uses MATLAB+CPLEX to solve the air conditioning operation optimization model and obtain simulation results.

[0117] All air conditioners installed in the temporary building are KFR-35G models, so the number of air conditioners in operation is sufficient to describe the indoor air conditioning status (ignoring the influence of air conditioner distribution). The solution process is as follows:

[0118] Step 41: Download and install the cplex and yalmip software corresponding to your MATLAB version; since the variable being optimized is the operating state of the air conditioner (i.e., on and off states), select the binary variable binvar.

[0119] Step 42: Based on the number of air conditioners and the type of optimization problem, create decision variables (integer optimization problem) in the MATLAB + YALMIMP environment; according to the formula... Set the target function.

[0120] Step 43: According to the formula ,formula And explain the energy utilization relationship of the variables, and write the constraints.

[0121] Step 44: Set the solution parameters and use the optimize function to solve the problem. The solution result is as follows: Figure 5 As shown.

[0122] As shown in the figure, when the indoor temperature is set to 20℃, if the outdoor temperature is below -9℃, three air conditioners need to be turned on to meet the indoor heating demand; if the outdoor temperature is below -2℃, two air conditioners need to be turned on to meet the indoor heat load demand; and if the outdoor temperature is above -2℃, only one air conditioner needs to be turned on to meet the heating demand of the temporary building.

[0123] Step 5: Analyze the simulation results and guide users to optimize air conditioning operation based on the curve of the number of temporary building air conditioners started as a function of temperature.

[0124] User based Figure 5 The curve optimizes the operation of the air conditioning in the temporary building, and the optimization results are as follows: Figure 6 As shown. From Figure 6 As can be seen from the data, from 12 noon to 8 pm, only one air conditioner needs to be turned on to meet the user's heating load (two air conditioners in the temporary prefabricated house are usually on), saving 10.4 kWh of electricity per day and achieving the goal of energy conservation and environmental protection.

[0125] Example 2

[0126] like Figure 7 As shown, a temporary building air conditioning and heating operation optimization device includes:

[0127] The temporary building thermodynamic model building module is used to build a temporary building thermodynamic model based on the building structure and heat transfer principles of the temporary building, and to calculate the heat loss of the building.

[0128] The thermodynamic model of the temporary building is as follows:

[0129]

[0130] In the formula:

[0131] Heat dissipation of temporary buildings, W;

[0132] The sum of the areas of the walls, roof, floor, and windows of the temporary building, m 2 ;

[0133] The heat transfer coefficient is W / m. 2 ·℃;

[0134] Indoor temperature, °C;

[0135] The outdoor temperature is in °C.

[0136] An air conditioning heating model building module is used to incorporate environmental factors and calculate the electrothermal relationship of air conditioning.

[0137] The air conditioning heating model is as follows:

[0138]

[0139] In the formula:

[0140] For the heat generated by the air conditioner, W;

[0141] This is an environmental factor that describes the degree to which air conditioning is affected by temperature.

[0142] This refers to the energy efficiency ratio of the air conditioner.

[0143] Input power to the air conditioner, W;

[0144] The power of the electric auxiliary heating for the air conditioner is measured in W.

[0145] The air conditioning operation optimization model building module is used to select the power consumption of air conditioning in temporary buildings as the optimization target, and build an air conditioning operation optimization model through the heat loss of the building and the relationship between air conditioning electricity and heat.

[0146] The air conditioning operation optimization model is as follows:

[0147]

[0148] In the formula:

[0149] Let be the power of the i-th air conditioner, in W;

[0150] Let W be the electric auxiliary heating power of the i-th air conditioner;

[0151] n represents the number of air conditioners in the temporary building;

[0152] This represents the operating status of the i-th air conditioner, where 0 indicates it is off and 1 indicates it is on.

[0153] The constraints of the air conditioning operation optimization model include:

[0154] The heat dissipation of temporary structures is less than or equal to the heat production, that is:

[0155]

[0156] In the formula:

[0157] Heat dissipation, W;

[0158] Let W be the heat output of the i-th air conditioner.

[0159] To ensure the safe and stable operation of the power grid, the air conditioning current in temporary buildings must be less than the rated current of the upstream switch, i.e.:

[0160]

[0161] In the formula:

[0162] Let be the rated current of the i-th air conditioner, in A;

[0163] The rated current of the air conditioner's upstream switch is in A.

[0164] The model solving module is used to solve the air conditioning operation optimization model to obtain simulation results and the curve of the number of temporary building air conditioning starts as a function of temperature.

[0165] The air conditioning operation optimization model was solved using MATLAB and CPLEX. The solution process included:

[0166] Step 41: Download and install the cplex and yalmip software corresponding to your MATLAB version; since the variable being optimized is the operating state of the air conditioner (i.e., on and off states), select the binary variable binvar.

[0167] Step 42: Based on the number of air conditioners and the type of optimization problem, create decision variables (integer optimization problem) in the MATLAB + YALMIMP environment; according to the formula... Set the target function.

[0168] Step 43: According to the formula ,formula And explain the energy utilization relationship of the variables, and write the constraints.

[0169] Step 44: Set the solution parameters and use the optimize function to solve the problem. The solution result is as follows: Figure 5 As shown.

[0170] The optimization module is used to analyze simulation results and guide users to optimize air conditioning operation based on the curve of the number of temporary building air conditioners started as a function of temperature.

[0171] Example 3

[0172] The present invention provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that the processor executes the computer program to implement the temporary building air conditioning and heating operation optimization method described in Embodiment 1.

[0173] Example 4

[0174] The present invention provides a computer-readable storage medium storing a computer program, characterized in that the computer program, when executed by a processor, implements the method for optimizing the operation of air conditioning and heating in a temporary building as described in Embodiment 1.

[0175] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0176] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0177] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0178] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0179] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for optimizing the operation of a temporary building air conditioning and heating system, characterized in that, Comprise: Step 1: obtain the building structure of the temporary building; According to the building structure of the temporary building and the heat transfer principle, the heat loss of the building is calculated by building a temporary building thermodynamic model; The temporary building thermodynamic model is: Step 2: build an air conditioning heating model, introduce environmental factors, and calculate the air conditioning electric heating relationship; The air conditioning heating model is: ； In the formula: is the heat dissipation of the temporary building, unit: W; is the sum of the areas of the walls, roof, floor and windows of the temporary building, unit: m 2 ; is the heat transfer coefficient, unit: W / m 2 ·℃; is the indoor temperature, unit: ℃; is the outdoor temperature, unit: ℃; Step 3: select the air conditioning power consumption in the temporary building as the optimization target, and build an air conditioning operation optimization model through the calculation results of step 1 and step 2; The air conditioning operation optimization model is: ； In the formula: Q is the heat output of the air conditioner, unit: W; C is the environmental coefficient, which describes the degree of influence of temperature on the air conditioner; COP is the energy efficiency ratio of the air conditioner; P is the input electric power of the air conditioner, unit: W; P is the electric auxiliary heating power of the air conditioner, unit: W; Step 4: solve the air conditioning operation optimization model to obtain the simulation results and the temporary building air conditioning start quantity curve with temperature change; ； In the formula: Pi is the electric power of the i th air conditioner, unit: W; Pi is the electric power of the i th air conditioner, unit: W; n is the number of air conditioners in the temporary building; Si is the running state of the i th air conditioner, 0 is off, and 1 is on. Step 5: according to the temporary building air conditioning start quantity curve with temperature change, guide the user to optimize the operation of air conditioner. The constraint conditions of the air conditioning operation optimization model include:

2. The method for optimizing the operation of a temporary building air conditioner and heating system according to claim 1, wherein, In the formula: The constraint conditions of the air conditioning operation optimization model also include: for the heat dissipation, in W; Qi is the heat production of the i-th air conditioner, unit: W.

3. The method of claim 2, wherein, In the formula: In step 4, the air conditioning operation optimization model is solved by MATLAB+CPLEX method, and the solving process includes: Ii is the rated current of the i-th air conditioner, in A; Rated current for air conditioner upper switch, unit: A.

4. The method of claim 1, wherein, Step 41: download and install cplex and yalmip software corresponding to matlab version; Step 42: according to the air conditioning quantity and optimization problem type, create decision variables in matlab+yalmip environment, set objective function; Step 43: according to the energy utilization relationship, write constraint conditions; Step 44: set the solving parameters and solve by using optimize function. Comprise:

5. A temporary building air conditioning and heating operation optimization device, characterized by, The temporary building thermodynamic model building module is used to build a temporary building thermodynamic model according to the building structure of the temporary building and the heat transfer principle, and calculate the heat loss of the building; The temporary building thermodynamic model is: The air conditioning heating model building module is used to introduce environmental factors and calculate the air conditioning electric heating relationship; The air conditioning heating model is: ； In the formula: is the heat dissipation of the temporary building, unit: W; is the sum of the areas of the walls, roof, floor and windows of the temporary building, unit: m 2 ; is the heat transfer coefficient, unit: W / m 2 ·℃; is the indoor temperature, unit: ℃; is the outdoor temperature, unit: ℃; The air conditioning operation optimization model building module is used to select the air conditioning power consumption in the temporary building as the optimization target, and build an air conditioning operation optimization model through the heat loss of the building and the air conditioning electric heating relationship; The air conditioning operation optimization model is: ； In the formula: Q is the heat output of the air conditioner, unit: W; C is the environmental coefficient, which describes the degree of influence of the air conditioner on the temperature; COP is the energy efficiency ratio of the air conditioner; P is the input electric power of the air conditioner, unit: W; P is the electric auxiliary heating power of the air conditioner, unit: W; The model solving module is used to solve the air conditioning operation optimization model to obtain the simulation results and the temporary building air conditioning start quantity curve with temperature change; ； In the formula: Pi is the electric power of the i th air conditioner, unit: W; Pi is the electric auxiliary heating power of the i th air conditioner, unit: W; n is the number of air conditioners in the temporary building; Si is the running state of the i th air conditioner, 0 is off, and 1 is on; The optimization operation module is used to guide the user to optimize the operation of air conditioner according to the temporary building air conditioning start quantity curve with temperature change. The processor executes the computer program to realize the temporary building air conditioner heating operation optimization method in any one of claims 1-4.

6. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, The computer program is executed by the processor to realize the temporary building air conditioner heating operation optimization method in any one of claims 1-4.

7. A computer-readable storage medium storing a computer program, the computer-readable storage medium comprising instructions that, when executed by a computer, cause the computer to perform the method of any one of claims 1 to 6. ​

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