Method, device and electronic equipment for analyzing building heat load

Abstract

The application provides a building heat load analysis method, device and electronic equipment. The method comprises the following steps: obtaining historical data; wherein the historical data comprises air conditioner historical operation data, local meteorological parameters, space envelope heat transfer coefficients, ventilation characteristic parameters, a first characteristic parameter of air heat storage capacity in a building space to be evaluated, and a second characteristic parameter of building envelope and object heat storage capacity; obtaining real-time energy output data of the air conditioner; determining heat load data of the building space to be evaluated based on the energy output data and the historical data; and analyzing time characteristics of the heat load of the building space to be evaluated based on the heat load data of the building space to be evaluated. In this way, the heat load of the building can be directly detected and analyzed through the data collected by the air conditioner in the building space to be evaluated, which is highly timely and can better obtain the time dimension characteristics of the loads such as personnel, equipment heat, lighting heat and the like.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of heat load, in particular to a building heat load analysis method, device and electronic equipment. BACKGROUND

[0002] In the prior art, the heat load generated by indoor personnel, equipment heat, lighting, etc. is generally obtained indirectly by counting the number of personnel and the number of corresponding equipment and lighting and the power. This indirect calculation method needs a large number of real-time detection sensors to obtain relevant data, and also has a large hysteresis due to the heat transfer delay, and the hysteresis time is difficult to obtain, making it difficult to use these data. SUMMARY

[0003] Therefore, the present application aims to provide a building heat load analysis method, device and electronic equipment, which directly detects and analyzes the heat load of the building through the data collected by the air conditioner in the building, has high timeliness, and can better obtain the characteristics of the load in the time dimension of personnel, equipment heat, lighting heat, etc.

[0004] In a first aspect, the present application provides a building heat load analysis method, which comprises: obtaining historical data of a building space to be evaluated; wherein the historical data comprises: air conditioner historical operation data, local meteorological parameters, space envelope heat transfer coefficients, ventilation characteristic parameters, a first characteristic parameter of air heat storage capacity in the building space to be evaluated, and a second characteristic parameter of building envelope and object heat storage capacity; obtaining energy output data of the air conditioner in the building space to be evaluated in real time; wherein the energy output data comprises the average value of the output cooling or heating of the air conditioner in the building space to be evaluated at different times; determining the heat load data of the building space to be evaluated based on the energy output data and the historical data; wherein the heat load data of the building space to be evaluated represents the heat load of personnel, equipment and lighting in the building space to be evaluated at different times; and analyzing the time characteristics of the heat load of the building space to be evaluated based on the heat load data of the building space to be evaluated.

[0005] In an optional embodiment of the present application, the air conditioner historical operation data at least comprises one of the following: the refrigerating or heating capacity of each indoor unit of the air conditioner, the operating state of each indoor unit of the air conditioner, the indoor environment temperature detected by each indoor unit, the indoor humidity detected by each indoor unit, the outdoor environment temperature detected by the outdoor unit, the outdoor humidity detected by the outdoor unit, or the indoor envelope surface temperature; and the local meteorological parameters at least comprise one of the following: a parameter representing whether it is raining, local wind speed, irradiance value, or outdoor humidity.

[0006] In an optional embodiment of the present application, the space envelope heat transfer coefficient and the ventilation characteristic parameter are determined by at least one of the following manners: the space envelope heat transfer coefficient is collected by a heat flow density meter; the ventilation characteristic parameter is determined based on the air volume of the fresh air machine or the designed heat exchange times; the space envelope heat transfer coefficient and the ventilation characteristic parameter are determined by the numerical value fitted by big data or the system data collected by operation.

[0007] In an optional embodiment of the present application, the first characteristic parameter of the air heat storage capacity in the building space to be evaluated is determined by at least one of the following manners: the first characteristic parameter of the air heat storage capacity in the building space to be evaluated is determined based on the indoor space size of the building space to be evaluated and the action range of the air conditioner in the building space to be evaluated; or, a plurality of sample data are determined from historical data, a first relationship of the temperature of the air in the building space changing with time is obtained by first fitting the sample data, and the first characteristic parameter of the air heat storage capacity in the building space is determined based on the first relationship.

[0008] In an optional embodiment of the present application, the second characteristic parameter of the building envelope and object heat storage capacity is determined by at least one of the following manners: the second characteristic parameter of the building envelope and object heat storage capacity is determined based on the wall heat storage capacity and the wall volume of the building space to be evaluated; or, a plurality of sample data are determined from historical data, a second relationship of the heat absorption amount of the building envelope and object changing with time is obtained by second fitting the sample data, and the second characteristic parameter of the building envelope and object heat storage capacity is determined based on the second relationship.

[0009] In an optional embodiment of the present application, the step of determining the heat load data of the building space to be evaluated based on the energy output data and the historical data comprises: calculating the real-time heat load of envelope heat transfer, the real-time heat load of ventilation, the real-time heat storage amount of the wall, and the real-time heat storage amount of the indoor air based on the historical data; and subtracting the real-time heat load of envelope heat transfer, the real-time heat load of ventilation, the real-time heat storage amount of the wall, and the real-time heat storage amount of the indoor air from the energy output data to obtain the heat load data of the building space to be evaluated.

[0010] In an optional embodiment of the present application, the heat load data of the building space to be evaluated is determined by the following formula: wherein, Q inheat,i is the heat load data of the building space to be evaluated at i moment, Q HVAC,i is the energy output data at i moment, is the real-time heat load of ventilation at i moment, KA(T in,i -T out,i ) is the real-time heat load of envelope heat transfer at i moment, C m,wall (T wall,i -T wall,i-1 ) is the real-time heat storage amount of the wall at i moment, Cm,air (T air,i -T air,i-1 ) is the indoor air real-time heat storage amount at the i moment; wherein, p is air density, F is ventilation characteristic parameter, Dh i is the average enthalpy difference of indoor and outdoor air at the i moment, KA is space envelope heat transfer coefficient, T in,i is the indoor environment temperature at the i moment, T out,i is the outdoor environment temperature at the i moment, C m,wall is the second characteristic parameter, T wall,i is the indoor envelope surface temperature at the i moment, T wall,i-1 is the indoor envelope surface temperature at the i-1 moment, C m,air is the first characteristic parameter, T air,i is the air temperature at the i moment, T air,i-1 is the air temperature at the i-1 moment.

[0011] In the optional embodiment of the present application, the step of analyzing the time characteristics of the heat load of the building space to be evaluated based on the heat load data of the building space to be evaluated comprises: analyzing the characteristics of the personnel, equipment and lighting in the building space to be evaluated over time based on the heat load data of the building space to be evaluated.

[0012] In a second aspect, the embodiments of the present application further provide an analysis device for building heat load, the device comprising: a historical data acquisition module, configured to acquire historical data of a building space to be evaluated; wherein the historical data comprises: air conditioner historical operation data, local meteorological parameters, space envelope heat transfer coefficient, ventilation characteristic parameter, first characteristic parameter of air heat storage capacity in the building space to be evaluated, and second characteristic parameter of building envelope and object heat storage capacity; an energy output data acquisition module, configured to acquire energy output data of an air conditioner in the building space to be evaluated in real time; wherein the energy output data comprises average values of output cooling or heating of the air conditioner in the building space to be evaluated at different moments; a heat load data determination module, configured to determine heat load data of the building space to be evaluated based on the energy output data and the historical data; wherein the heat load data of the building space to be evaluated represents heat loads of personnel, equipment and lighting in the building space to be evaluated at different moments; and a time characteristic analysis module, configured to analyze time characteristics of the heat load of the building space to be evaluated based on the heat load data of the building space to be evaluated.

[0013] In a third aspect, the embodiments of the present application further provide an electronic device, comprising a processor and a memory, the memory storing computer executable instructions capable of being executed by the processor, and the processor executes the computer executable instructions to implement the above-mentioned analysis method for building heat load.

[0014] In a fourth aspect, the embodiments of the present application further provide a computer readable storage medium storing computer executable instructions, which, when invoked and executed by a processor, cause the processor to implement the above-mentioned building heat load analysis method.

[0015] The embodiments of the present application bring the following beneficial effects:

[0016] The building heat load analysis method, device and electronic equipment provided by the embodiments of the present application can directly detect and analyze the heat load of the building space to be evaluated through the data collected by the air conditioner in the building, have high timeliness, and can better obtain the characteristics of the loads of personnel, equipment heat, lighting heat and the like in the time dimension.

[0017] Other features and advantages of the present disclosure will be described in the following description, or can be inferred or determined without doubt from the description, or can be known by implementing the above-mentioned technologies of the present disclosure.

[0018] In order to make the above-mentioned purposes, features and advantages of the present disclosure more obvious and easy to understand, the following preferred embodiments are specifically described in detail below, and the accompanying drawings are described as follows. BRIEF DESCRIPTION OF DRAWINGS

[0019] In order to more clearly illustrate the specific embodiments of the present application or the technical solutions in the prior art, the following will briefly introduce the drawings needed to be used in the specific embodiments or prior art description. Obviously, the drawings in the following description are some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor on the basis of these drawings.

[0020] Figure 1 The flowchart of the building heat load analysis method provided by the embodiments of the present application is shown in the figure;

[0021] Figure 2 The flowchart of another building heat load analysis method provided by the embodiments of the present application is shown in the figure;

[0022] Figure 3 The schematic diagram of the building heat load analysis provided by the embodiments of the present application is shown in the figure;

[0023] Figure 4 The structural schematic diagram of the building heat load analysis device provided by the embodiments of the present application is shown in the figure;

[0024] Figure 5 The structural schematic diagram of the electronic equipment provided by the embodiments of the present application is shown in the figure. DETAILED DESCRIPTION

[0025] In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions of the present application will be described clearly and completely below with reference to the drawings. Obviously, the described embodiments are only some of the embodiments of the present application, but not all the embodiments. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without creative work fall within the scope of protection of the present application.

[0026] At present, in the prior art, the heat load generated by indoor personnel, equipment heat, lighting and other internal heat sources is generally obtained indirectly by counting the number of personnel and the number of corresponding equipment and lighting and the power. This indirect calculation method needs a large number of real-time detection sensors to obtain relevant data, and also has a large hysteresis due to the heat transfer delay, and the hysteresis time is difficult to obtain, so that these data are difficult to use.

[0027] Based on this, the embodiments of the present application provide a building heat load analysis method, device and electronic equipment, and specifically provide an indoor personnel, equipment, lighting and other internal heat source load identification method, which can directly calculate the heat load of the building through the air conditioning system of the building as a sensor, and can better obtain the characteristics of the personnel, equipment heat, lighting heat and other loads in the time dimension and amplitude.

[0028] In order to facilitate the understanding of the embodiments, first, a building heat load analysis method disclosed by the embodiments of the present application is described in detail.

[0029] Embodiment one:

[0030] The embodiments of the present application provide a building heat load analysis method, referring to the flowchart of the building heat load analysis method shown in Figure 1 The building heat load analysis method includes the following steps:

[0031] Step S102, obtaining historical data; wherein the historical data includes: air conditioning historical operation data, local meteorological parameters, space envelope structure heat transfer coefficient, ventilation characteristic parameters, a first characteristic parameter of air heat storage capacity in the building space to be evaluated, and a second characteristic parameter of building envelope structure and object heat storage capacity.

[0032] The air conditioning historical operation data can be the historical operation data of the indoor unit and the outdoor unit of each air conditioner in the building. The local meteorological parameters can be the meteorological parameters of the region where the building is located. The space envelope structure heat transfer coefficient refers to the heat transferred through 1 square meter area in 1 second under the condition of stable heat transfer, with the temperature difference of air on both sides of the envelope structure being 1 degree (K, ℃).

[0033] The first characteristic parameter of the air heat storage capacity in the building space can be the first heat capacity of the air in the building space, and the second characteristic parameter of the heat storage capacity of the building envelope and the object can be the second heat capacity of the building envelope and the object.

[0034] In step S104, energy output data of the air conditioner in the building space to be evaluated is acquired in real time; the energy output data includes average values of output cooling capacity or heating capacity of the air conditioner in the building space to be evaluated at different time points.

[0035] The air conditioner in the building can output cooling capacity or heating capacity at each moment, i.e., air conditioning cooling or air conditioning heating. In this embodiment, the average values of output cooling capacity or heating capacity of the air conditioner in the building at different time points can be acquired as the energy output data of the air conditioner. For example, the air conditioner outputs cooling capacity Q1 at t1 and outputs heating capacity Q2 at t2, and the energy output data can record (t1, Q1) and (t2, -Q2), wherein "-" represents that the air conditioner outputs heating capacity.

[0036] In step S106, heat load data of the building space to be evaluated is determined based on the energy output data and the historical data; the heat load data of the building space to be evaluated represents heat loads of persons, equipment and lighting in the building space to be evaluated at different time points.

[0037] In this embodiment, the real-time heat load of envelope heat transfer, the real-time heat load of air change, the real-time heat storage capacity of the wall and the real-time heat storage capacity of the indoor air can be calculated according to the historical data. Based on the energy output data and the data calculated according to the historical data, the heat loads of persons, equipment and lighting in the building at different time points can be obtained as the heat load data of the building.

[0038] The energy output data is collected by the air conditioner in the building, and therefore, the heat load of the building can be directly detected and analyzed by the data collected by the air conditioner in the building, which has high timeliness.

[0039] In step S108, time characteristics of the heat load of the building space to be evaluated are analyzed based on the heat load data of the building space to be evaluated.

[0040] After the heat loads of persons, equipment and lighting in the building at different time points are calculated, the heat loads can be analyzed to determine the time characteristics of the heat load of the building, i.e., the characteristics of the heat loads of persons, equipment and lighting in the building in the time dimension are analyzed.

[0041] This invention provides a method for analyzing building heat load, which can determine the building's heat load data based on historical data and the energy output data of the building's air conditioning, and analyze the temporal characteristics of the building's heat load based on the heat load data. This method can directly detect and analyze the building's heat load using data collected from the air conditioning systems within the building space to be evaluated, offering high timeliness and enabling better acquisition of the temporal characteristics of loads such as personnel, equipment heat generation, and lighting heat generation.

[0042] Example 2:

[0043] This embodiment provides another method for analyzing building heat load, which is implemented based on the above embodiment, such as... Figure 2 The flowchart illustrates another method for analyzing building heat load. The method for analyzing building heat load in this embodiment includes the following steps:

[0044] Step S202: Obtain historical data of the building space to be evaluated; wherein, the historical data includes: historical air conditioning operation data, local meteorological parameters, heat transfer coefficient of the space envelope, ventilation characteristic parameters, first characteristic parameter of the air heat storage capacity in the building space to be evaluated, and second characteristic parameter of the heat storage capacity of the building envelope and objects.

[0045] This embodiment can obtain the curve characteristics corresponding to the heat loads of people, equipment, and lighting by analyzing the building's heat load. For details, please refer to... Figure 3 The diagram shown is a schematic diagram of a building heat load analysis.

[0046] Specifically, the historical operating data of the air conditioner shall include at least one of the following: the cooling or heating capacity of each indoor unit of the air conditioner, the operating status of each indoor unit of the air conditioner, the indoor ambient temperature detected by each indoor unit, the indoor humidity detected by each indoor unit, the outdoor ambient temperature detected by the outdoor unit, the outdoor humidity detected by the outdoor unit, or the surface temperature of the indoor building envelope; the local meteorological parameters shall include at least one of the following: parameters indicating whether it is raining, local wind speed, irradiance, or outdoor humidity.

[0047] like Figure 3 As shown, historical operating data of the air conditioner can be obtained, including: the capacity of each indoor unit of the air conditioner (cooling capacity Q). c Or heat output Q h The operating status of each indoor unit of the air conditioner (cooling operation, heating operation, off, standby), and the indoor ambient temperature T detected by each indoor unit. in The indoor humidity (RH) measured by each indoor unit in The outdoor ambient temperature T detected by the outdoor unit out Outdoor humidity (RH) detected by the outdoor unit out (Optional, meteorological parameters can be used instead), indoor building envelope surface temperature Twall .

[0048] As shown in Figure 3 , local weather parameters can be obtained, including whether it is raining, local wind speed, irradiance value, outdoor humidity RH out (optionally, outdoor humidity can be detected by an outdoor unit instead).

[0049] As shown in Figure 3 , the space envelope heat transfer coefficient KA and the ventilation characteristic parameter F can be obtained. Specifically, the space envelope heat transfer coefficient and the ventilation characteristic parameter are determined by at least one of the following methods: the space envelope heat transfer coefficient is collected by a heat flow density meter; the ventilation characteristic parameter is determined based on the air volume of the fresh air fan or the designed heat exchange times; the space envelope heat transfer coefficient and the ventilation characteristic parameter are determined by the numerical values fitted by big data or the system data collected by trial operation.

[0050] KA can be determined by a heat flow density meter, and F can be determined by other on-site measurement methods, air volume of a fresh air fan, or designed heat exchange times. In addition, KA and F can also be determined by the numerical values fitted by big data or the system data collected by trial operation.

[0051] Specifically, the space envelope heat transfer coefficient and the ventilation characteristic parameter are both related to the parameters representing whether it is raining and the local wind speed. The values of these two parameters have a functional relationship with the outdoor wind speed and whether it is raining. Specifically, KA=f1(rain or no rain, wind speed range), F=f2(rain or no rain, wind speed range).

[0052] As shown in Figure 3 , the first characteristic parameter of the air heat storage capacity in the building space can be determined, i.e., the space air heat storage heat capacity characteristics are obtained. Specifically, the first characteristic parameter of the air heat storage capacity in the building space is determined by at least one of the following methods: based on the indoor space size of the building space to be evaluated and the action range of the air conditioner in the building space to be evaluated, the first characteristic parameter of the air heat storage capacity in the building space is determined; or, a plurality of sample data are determined from historical data, a first relationship between the temperature of the air in the building space and time is obtained by first fitting the sample data, and the first characteristic parameter of the air heat storage capacity in the building space is determined based on the first relationship.

[0053] In this embodiment, the first characteristic parameter can be calculated according to the size of the indoor space and the limited boundary of the action range of the air conditioner. For example, the corresponding length, width, and height of the space are determined according to the action range of the air conditioner, the corresponding air volume is calculated, the air heat storage capacity characteristic value corresponding to the air conditioning space is obtained by multiplying the air specific heat capacity by the air volume, and the first characteristic parameter is obtained. In the case where the building information cannot be obtained, the first characteristic parameter of the air heat storage capacity in the building space can also be determined by the fitting method of sample data.

[0054] For example, after determining the sample data, the embodiment can perform first fitting on the sample data to obtain a first relationship of the temperature of the air in the building space changing with time. The fitting formula of the first fitting is preselected, and the first heat capacity of the air in the building space can be determined as the first characteristic parameter of the heat storage capacity of the air in the building space according to the fitting coefficient of the first relationship.

[0055] As shown in Figure 3 , the second characteristic parameter of the heat storage capacity of the building envelope and the object can be determined, that is, the heat storage capacity characteristic parameter of the building envelope and the object is obtained. Specifically, the second characteristic parameter of the heat storage capacity of the building envelope and the object is determined by at least one of the following ways: determining the second characteristic parameter of the heat storage capacity of the building envelope and the object based on the wall heat storage capacity and the wall volume of the building space to be evaluated; or determining a plurality of sample data from historical data, performing second fitting on the sample data to obtain a second relationship of the heat absorption amount of the building envelope and the object changing with time, and determining the second characteristic parameter of the heat storage capacity of the building envelope and the object based on the second relationship.

[0056] The embodiment can calculate the overall heat storage capacity according to the wall heat storage capacity corresponding to the building information and the volume corresponding thereto. In the case where the building information cannot be obtained, the embodiment can also determine the second characteristic parameter of the heat storage capacity of the building envelope and the object by the fitting of sample data.

[0057] For example, after determining the sample data, the embodiment can perform second fitting on the sample data to obtain a second relationship of the heat absorption amount of the building envelope and the object changing with time. The fitting formula of the second fitting is preselected, and the second heat capacity of the building envelope and the object can be determined as the second characteristic parameter of the heat storage capacity of the building envelope and the object according to the fitting coefficient of the second relationship.

[0058] Step S204, real-time energy output data of the air conditioner in the building space to be evaluated is obtained; wherein the energy output data includes the average value of the output cooling or heating of the air conditioner in the building space to be evaluated at different times.

[0059] As shown in Figure 3 , the real-time energy output of the heating ventilation air conditioner can be obtained, which is represented by Q inheat,i , wherein Q inheat,i represents the real-time energy output of the heating ventilation air conditioner at i time, that is, the energy output data at i time.

[0060] Step S206, the heat load data of the building space to be evaluated is determined based on the energy output data and the historical data; wherein the heat load data of the building space to be evaluated represents the heat load of the personnel, equipment and lighting in the building space to be evaluated at different times.

[0061] As Figure 3 shown, the real-time energy output of the heating, ventilation and air conditioning, minus the real-time heat load of the building envelope heat transfer and ventilation, the real-time heat storage / heat release of the wall, and the real-time heat storage / heat release of the indoor air, can obtain the real-time load corresponding to the heat load of personnel, equipment, lighting, etc.

[0062] Specifically, the embodiment can calculate the real-time heat load of the building envelope heat transfer, the real-time heat load of the ventilation, the real-time heat storage of the wall, and the real-time heat storage of the indoor air based on historical data; subtract the real-time heat load of the building envelope heat transfer, the real-time heat load of the ventilation, the real-time heat storage of the wall, and the real-time heat storage of the indoor air from the energy output data to obtain the heat load data of the building space to be evaluated.

[0063] In the embodiment, the heat load data of the building space to be evaluated can be determined by the following formula:

[0064]

[0065] Wherein, Q inheat,i is the heat load data of the building space to be evaluated at time i, for example: the average value of the heat load of personnel, equipment, lighting, etc. at time i. Q HVAC,i is the energy output data at time i, for example: the average value of the air conditioning output cold or heat at time i. is the real-time heat load of ventilation at time i, KA(T in,i -T out,i ) is the real-time heat load of the building envelope heat transfer at time i, C m,wall (T wall,i -T wall,i-1 ) is the real-time heat storage of the wall at time i, C m,air (T air,i -T air,i-1 ) is the real-time heat storage of the indoor air at time i;

[0066] Wherein, ρ is the air density, F is the ventilation characteristic parameter, Δh i is the average enthalpy difference of indoor and outdoor air at time i, KA is the space building envelope heat transfer coefficient, T in,i is the indoor environment temperature at time i, T out,i is the outdoor environment temperature at time i, C m,wall is the second characteristic parameter, T wall,i is the indoor building envelope surface temperature at time i, T wall,i-1 is the indoor building envelope surface temperature at time i-1, C m,air is the first characteristic parameter, T air,i is the air temperature at time i, T air,i-1 is the air temperature at time i-1.

[0067] In addition, T in,i , T out,i , T wall,i , T wall,i-1 , T air,i , T air,i-1 and the like parameters can be represented by an average value, for example: T in,i may be the indoor average temperature at time i, T out,i may be the outdoor average temperature at time i, T wall,i may be the average wall temperature at time i, T wall,i-1 may be the average wall temperature at time i-1, T air,i may be the average air temperature at time i, and T air,i-1 may be the average air temperature at time i-1.

[0068] In step S208, the characteristics of the personnel, equipment and lighting in the building space to be evaluated are analyzed based on the heat load data of the building space to be evaluated.

[0069] As shown in FIG. Figure 3 , the embodiment can obtain the curves corresponding to the heat loads of personnel, equipment and lighting for several days, and classify the curves by clustering analysis or the like to obtain the time characteristics of the heat loads of the building at different times.

[0070] Specifically, the characteristics of the personnel, equipment and lighting in the building can be analyzed based on the heat load data of the building. For example, by clustering analysis classification, the change characteristics of the dynamic change loads of personnel, equipment and lighting under conditions such as weekdays and non-weekdays can be obtained.

[0071] In summary, the embodiment of the present application can identify the heat storage capacity of the air in the building, the envelope structure and the indoor objects through the historical operation data of the air conditioning system, and the identification process makes full use of the sensors provided by the air conditioning system, thereby reducing the equipment investment. The thermal characteristics identified by the embodiment of the present application include the heat storage capacity of the air in the building, the envelope structure and the indoor objects and the corresponding response time, and the data-driven identification method solves the problems of digitization and informatization of the heat storage capacity of the air in the building, the envelope structure and the indoor objects and the application thereof.

[0072] Based on the above envelope structure characteristic identification, the embodiment can also obtain the real-time loads corresponding to the heat loads of personnel, equipment and lighting by subtracting the real-time heat loads of the envelope structure heat transfer and air exchange, the real-time heat storage / heat release of the wall and the real-time heat storage / heat release of the indoor air from the real-time energy output of the heating, ventilation and air conditioning system, and finally obtain the heat load characteristic curve values throughout the day.

[0073] Embodiment three:

[0074] Corresponding to the above method embodiments, the embodiments of the present application provide an analysis device for building heat load, referring to Figure 4 Fig. 1 shows a structural schematic diagram of an analysis device for building heat load according to an embodiment of the present application.

[0075] The historical data acquisition module 41 is configured to acquire historical data of the building space to be evaluated, wherein the historical data comprises air conditioner historical operation data, local meteorological parameters, space envelope heat transfer coefficients, ventilation characteristic parameters, a first characteristic parameter of air heat storage capacity in the building space to be evaluated, and a second characteristic parameter of building envelope and object heat storage capacity.

[0076] The energy output data acquisition module 42 is configured to acquire energy output data of the air conditioner in the building space to be evaluated in real time, wherein the energy output data comprises average values of output cooling or heating of the air conditioner in the building space to be evaluated at different times.

[0077] The heat load data determination module 43 is configured to determine heat load data of the building space to be evaluated based on the energy output data and the historical data, wherein the heat load data of the building space to be evaluated represents heat loads of persons, equipment and lighting at different times in the building space to be evaluated.

[0078] The time characteristic analysis module 44 is configured to analyze time characteristics of the heat load of the building space to be evaluated based on the heat load data of the building space to be evaluated.

[0079] The analysis device for building heat load provided by the embodiments of the present application can determine heat load data of the building based on historical data and energy output data of the air conditioner in the building, and analyze time characteristics of the heat load of the building based on the heat load data of the building. In this way, the heat load of the building space to be evaluated can be directly detected and analyzed by using data collected by the air conditioner in the building, which has high timeliness and can better obtain characteristics of heat loads of persons, equipment and lighting in the time dimension.

[0080] The air conditioner historical operation data at least comprises one of the following: refrigerating capacity or heating capacity of each indoor unit of the air conditioner, operation state of each indoor unit of the air conditioner, indoor environment temperature detected by each indoor unit, indoor humidity detected by each indoor unit, outdoor environment temperature detected by the outdoor unit, outdoor humidity detected by the outdoor unit or indoor envelope surface temperature.

[0081] The historical data acquisition module is at least used for one of the following: collecting the space envelope heat transfer coefficient by using a heat flux density meter; determining the ventilation characteristic parameter based on the air volume of the fresh air machine or the designed heat exchange times; and determining the space envelope heat transfer coefficient and the ventilation characteristic parameter by using big data fitting numerical values or system data collected by operation.

[0082] The historical data obtaining module is configured to perform at least one of the following: determining a first characteristic parameter of the air heat storage capacity in the building space to be evaluated based on the indoor space size of the building space to be evaluated and the action range of the air conditioner in the building space to be evaluated; or determining a plurality of sample data from the historical data, performing first fitting on the sample data to obtain a first relationship of the temperature of the air in the building space changing with time, and determining the first characteristic parameter of the air heat storage capacity in the building space based on the first relationship.

[0083] The historical data obtaining module is configured to perform at least one of the following: determining a second characteristic parameter of the building envelope and object heat storage capacity based on the wall heat storage capacity and the wall volume of the building space to be evaluated; or determining a plurality of sample data from the historical data, performing second fitting on the sample data to obtain a second relationship of the heat absorption amount of the building envelope and object changing with time, and determining the second characteristic parameter of the building envelope and object heat storage capacity based on the second relationship.

[0084] The heat load data determining module is configured to calculate, based on the historical data, a real-time heat load of envelope heat transfer, a real-time heat load of ventilation, a real-time heat storage amount of the wall, and a real-time heat storage amount of the indoor air; and subtract the real-time heat load of envelope heat transfer, the real-time heat load of ventilation, the real-time heat storage amount of the wall, and the real-time heat storage amount of the indoor air from the energy output data to obtain the heat load data of the building space to be evaluated.

[0085] The heat load data determining module is configured to determine the heat load data of the building space to be evaluated by the following formula: wherein Q inheat,i is the heat load data of the building space to be evaluated at the i th moment, Q HVAC,i is the energy output data at the i th moment, is the real-time heat load of ventilation at the i th moment, KA(T in,i -T out,i ) is the real-time heat load of envelope heat transfer at the i th moment, C m,wall (T wall,i -T wall,i-1 ) is the real-time heat storage amount of the wall at the i th moment, C m,air (T air,i -T air,i-1 ) is the real-time heat storage amount of the indoor air at the i th moment; wherein p is the air density, F is the ventilation characteristic parameter, Ah i is the average enthalpy difference of the indoor and outdoor air at the i th moment, KA is the space envelope heat transfer coefficient, T in,i is the indoor environment temperature at the i th moment, T out,i is the outdoor environment temperature at the i th moment, C m,wall is the second characteristic parameter, T wall,iT is the indoor envelope surface temperature at time i, wall,i-1 T is the indoor envelope surface temperature at time i-1, m,air T is the first characteristic parameter, air,i T is the air temperature at time i, air,i-1 T is the air temperature at time i-1.

[0086] The time feature analysis module 44 is configured to analyze the features of the personnel, the equipment, and the lighting in the building space to be evaluated over time based on the thermal load data of the building space to be evaluated.

[0087] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the building thermal load analysis device described above can refer to the corresponding process in the foregoing embodiment of the building thermal load analysis method, and will not be described here.

[0088] Embodiment four:

[0089] The embodiment of the present application also provides an electronic device for running the building thermal load analysis method described above; see Figure 5 The electronic device shown in the structural schematic diagram of the electronic device, the electronic device includes a memory 100 and a processor 101, wherein the memory 100 is used to store one or more computer instructions, and the one or more computer instructions are executed by the processor 101 to realize the building thermal load analysis method described above.

[0090] Further, Figure 5 The electronic device shown in the structural schematic diagram of the electronic device also includes a bus 102 and a communication interface 103, and the processor 101, the communication interface 103 and the memory 100 are connected through the bus 102.

[0091] The memory 100 can include a high-speed random access memory (RAM, Random Access Memory), and can also include a non-volatile memory, for example, at least one disk memory. The communication connection between the system network element and at least one other network element is realized through at least one communication interface 103 (which can be wired or wireless), and the Internet, a wide area network, a local area network, a metropolitan area network, etc. can be used. The bus 102 can be an ISA bus, a PCI bus, or an EISA bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For the convenience of representation, Figure 5 Only one bidirectional arrow is used in the figure, but it does not mean that there is only one bus or one type of bus.

[0092] The processor 101 can be an integrated circuit chip having a processing capability of signals. In the implementation process, each step of the above method can be completed by the integrated logic circuit of hardware in the processor 101 or the instruction in the form of software. The processor 101 described above can be a general processor, including a central processing unit (CPU), a network processor (NP), etc.; can also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. Each method, step and logic block diagram disclosed in the embodiment of the present application can be implemented or executed. The general processor can be a microprocessor or the processor can also be any conventional processor. The steps of the method disclosed in combination with the embodiment of the present application can be directly embodied as a hardware code processor for execution, or a combination of hardware and software modules in the code processor for execution. The software module can be located in a random access memory, a flash memory, a read only memory, a programmable read only memory or an electrically erasable programmable memory, a register or other mature storage medium in the art. The storage medium is located in the storage 100, and the processor 101 reads the information in the storage 100, and combines the hardware to complete the steps of the method of the above embodiment.

[0093] The embodiment of the present application further provides a computer readable storage medium, the computer readable storage medium stores computer executable instructions, when the computer executable instructions are called and executed by a processor, the computer executable instructions cause the processor to implement the above-mentioned building heat load analysis method, and specific implementation can be referred to the method embodiment, and details are not described herein.

[0094] The computer program product of the building heat load analysis method, device and electronic equipment provided by the embodiment of the present application includes a computer readable storage medium storing program codes, the instructions included in the program codes can be used to execute the method in the foregoing method embodiment, and specific implementation can be referred to the method embodiment, and details are not described herein.

[0095] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the system and / or device described above can refer to the corresponding process in the foregoing method embodiment, and details are not described herein.

[0096] In addition, in the description of the embodiments of the present application, unless otherwise explicitly specified and limited, the terms "mounting", "connection", "connecting" should be understood in a broad sense, for example, can be fixed connection, can also be detachable connection, or integral connection; can be mechanical connection, can also be electrical connection; can be direct connection, can also be indirect connection through intervening medium, can be internal communication of two elements. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0097] If the functions are realized in the form of software function units and sold or used as independent products, they can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application or the part of the prior art or the part of the technical solutions that make essential contributions can be embodied in the form of software products. The computer software product is stored in a storage medium and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or optical disk and various program code storage media.

[0098] In the description of the present application, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer" and the like indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a particular orientation, be constructed and operated in a particular orientation, therefore cannot be understood as a limitation on the present application. In addition, the terms "first", "second", "third" are only for the purpose of description, and cannot be understood as indicating or implying relative importance.

[0099] Finally, it should be noted that the above-described embodiments are merely specific embodiments of the present application, which are used to illustrate the technical solutions of the present application, but not to limit the present application, and the protection scope of the present application is not limited thereto. Although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily think of changes to the technical solutions recorded in the foregoing embodiments, or make equivalent replacements to some technical features therein, within the technical scope disclosed by the present application. Such modifications, changes or replacements do not cause the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A method for analyzing building heat load, characterized in that, The method includes: Obtain historical data of the building space to be evaluated; wherein, the historical data includes: historical air conditioning operation data, local meteorological parameters, heat transfer coefficient of the space envelope, ventilation characteristic parameters, first characteristic parameter of the air heat storage capacity in the building space to be evaluated, and second characteristic parameter of the heat storage capacity of the building envelope and objects. Real-time acquisition of energy output data of the air conditioner in the building space to be evaluated; wherein, the energy output data includes the average value of the cooling or heating output of the air conditioner in the building space to be evaluated at different times; The heat load data of the building space to be evaluated is determined based on the energy output data and the historical data; wherein, the heat load data of the building space to be evaluated represents the heat load of people, equipment and lighting in the building space to be evaluated at different times; The temporal characteristics of the heat load of the building space to be evaluated are analyzed based on the heat load data of the building space to be evaluated.

2. The method according to claim 1, characterized in that, The historical operating data of the air conditioner includes at least one of the following: the cooling or heating capacity of each indoor unit of the air conditioner, the operating status of each indoor unit of the air conditioner, the indoor ambient temperature detected by each indoor unit, the indoor humidity detected by each indoor unit, the outdoor ambient temperature detected by the outdoor unit, the outdoor humidity detected by the outdoor unit, or the surface temperature of the indoor building envelope. The local meteorological parameters include at least one of the following: parameters indicating whether it is raining, local wind speed, irradiance, or outdoor humidity.

3. The method according to claim 1, characterized in that, The heat transfer coefficient and the ventilation characteristic parameters of the space envelope shall be determined by at least one of the following methods: The heat transfer coefficient of the space envelope was collected using a heat flux density meter. The ventilation characteristic parameters are determined based on the fresh air volume of the fresh air unit or the designed heat exchange rate. The heat transfer coefficient and ventilation characteristic parameters of the space envelope are determined by fitting numerical values ​​from big data or by collecting data from the system.

4. The method according to claim 1, characterized in that, The first characteristic parameter of the air heat storage capacity within the building space to be evaluated shall be determined by at least one of the following methods: The first characteristic parameter of the air heat storage capacity of the building space to be evaluated is determined based on the indoor space dimensions of the building space to be evaluated and the effective range of the air conditioning in the building space to be evaluated. Alternatively, multiple sample data can be determined from the historical data, and a first fitting can be performed on the sample data to obtain a first relationship between the temperature of the air in the building space and the change over time. Based on the first relationship, a first characteristic parameter of the heat storage capacity of the air in the building space can be determined.

5. The method according to claim 1, characterized in that, The second characteristic parameter of the building envelope and the heat storage capacity of the object shall be determined by at least one of the following methods: The second characteristic parameter for determining the heat storage capacity of the building envelope and objects is determined based on the wall heat storage capacity and wall volume of the building space to be evaluated. Alternatively, multiple sample data can be determined from the historical data, and a second fitting can be performed on the sample data to obtain a second relationship of the heat absorption time change of the building envelope and the object. Based on the second relationship, a second characteristic parameter of the heat storage capacity of the building envelope and the object can be determined.

6. The method according to claim 1, characterized in that, The steps for determining the heat load data of the building space to be evaluated based on the energy output data and the historical data include: Based on the historical data, calculate the real-time heat load of the building envelope, the real-time heat load of the ventilation, the real-time heat storage of the walls, and the real-time heat storage of the indoor air. Subtract the real-time heat load of the building envelope, the real-time heat load of the ventilation, the real-time heat storage of the walls, and the real-time heat storage of the indoor air from the energy output data to obtain the heat load data of the building space to be evaluated.

7. The method according to claim 6, characterized in that, The heat load data of the building space to be evaluated is determined by the following formula: Among them, Q inheat,i Let Q be the heat load data of the building space to be evaluated at time i. HVAC,i The energy output data at time i. Let KA(T) be the real-time heat load of ventilation at time i. in,i -T out,i Let C be the real-time heat load of the building envelope at time i. m,wall (T wall,i -T wall,i-1 C represents the real-time heat storage of the wall at time i. m,air (T air,i -T air,i-1 (i) represents the real-time heat storage of indoor air at time i; Where ρ is the air density, F is the ventilation characteristic parameter, and Δh i Let be the average enthalpy difference between indoor and outdoor air at time i, KA be the heat transfer coefficient of the space envelope, and T be... in,i Let T be the indoor ambient temperature at time i. out,i Let C be the outdoor ambient temperature at time i. m,wall T is the second characteristic parameter. wall,i Let T be the surface temperature of the indoor building envelope at time i. wall,i-1 Let C be the surface temperature of the indoor building envelope at time i-1. m,air For the first characteristic parameter, T air,i Let T be the air temperature at time i. air,i-1 Let be the air temperature at time i-1.

8. The method according to claim 1, characterized in that, The steps of analyzing the temporal characteristics of the heat load of the building space to be evaluated based on the heat load data of the building space to be evaluated include: Based on the heat load data of the building space to be evaluated, the characteristics of the changes in personnel, equipment, and lighting of the building space over time are analyzed.

9. A device for analyzing building heat load, characterized in that, The device includes: The historical data acquisition module is used to acquire historical data of the building space to be evaluated; wherein, the historical data includes: historical air conditioning operation data, local meteorological parameters, heat transfer coefficient of the space envelope, ventilation characteristic parameters, first characteristic parameter of the air heat storage capacity in the building space to be evaluated, and second characteristic parameter of the heat storage capacity of the building envelope and objects. An energy output data acquisition module is used to acquire energy output data of the air conditioner in the building space to be evaluated in real time; wherein, the energy output data includes the average value of the cooling or heating output of the air conditioner in the building space to be evaluated at different times; A heat load data determination module is used to determine the heat load data of the building space to be evaluated based on the energy output data and the historical data; wherein, the heat load data of the building space to be evaluated represents the heat load of personnel, equipment and lighting in the building space to be evaluated at different times; The time characteristic analysis module is used to analyze the time characteristics of the heat load of the building space to be evaluated based on the heat load data of the building space to be evaluated.

10. An electronic device, characterized in that, It includes a processor and a memory, the memory storing computer-executable instructions that can be executed by the processor, the processor executing the computer-executable instructions to implement the building heat load analysis method according to any one of claims 1 to 8.

11. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when invoked and executed by a processor, cause the processor to implement the building heat load analysis method according to any one of claims 1 to 8.

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