Power information processing method and equipment of building energy system

Abstract

The invention provides a power information processing method and device for a building energy system. The method comprises the steps that the environment temperature, the solar radiation intensity, the first attribute parameter of an integrated photovoltaic and photo-thermal integrated system, the second attribute parameter of a building virtual energy storage system and the third attribute parameter of a storage battery are acquired; according to the solar radiation intensity and the first attribute parameter, determining the output electric power of the integrated photovoltaic and photo-thermal integrated system; according to the solar radiation intensity, the environment temperature and the second attribute parameter, the operation consumed electric power of the air conditioner is determined; determining the charging power and the discharging power of the storage battery; and according to the output electric power of the integrated photovoltaic and photo-thermal integrated system, the operation consumed electric power of the air conditioner, the preset electric power consumed by the uncontrollable load, the charging power of the storage battery and the discharging power of the storage battery, the target purchased electric power of the building where the building energy system is located is determined, so that the target purchased electric power of the building is accurately predicted. And the energy-saving potential is improved.

Description

Technical Field

[0001] The present application relates to the field of building energy technology, and in particular to a power information processing method and device for a building energy system. Background Art

[0002] In the construction industry, photovoltaics installed on the roofs of buildings are an important power resource, and air conditioning is a large power load in buildings. Compared with traditional generators and loads, photovoltaic and thermal integrated systems and air conditioning are more easily affected by climate. Compared with single photovoltaic power generation, photovoltaic and thermal integrated systems recover waste heat from photovoltaic cells and combine with heat pumps to meet the hot water needs of buildings. Changing climate conditions affect the operation of photovoltaic and thermal integrated systems on the power supply side and affect the cooling needs of air conditioning on the power demand side.

[0003] At present, the operating characteristics of photovoltaic-thermal integrated systems and the cooling needs of air conditioners are usually characterized based on defined constant experimental parameters, without considering the impact of changeable climatic conditions on photovoltaic-thermal integrated systems and air conditioners. As a result, the operating characteristics of photovoltaic-thermal integrated systems and air conditioners under actual climatic conditions cannot be accurately characterized, and the energy-saving potential of building energy systems cannot be accurately evaluated.

[0004] Therefore, the existing technology does not consider the impact of climate conditions on the operating characteristics of photovoltaic thermal integration systems and air conditioning, resulting in certain limitations in the assessment of the energy-saving potential of building energy systems. Summary of the invention

[0005] The purpose of this application is to provide a power information processing method and device for a building energy system in response to the above-mentioned deficiencies in the prior art, so as to solve the practical problem that the prior art does not take into account the impact of climatic conditions on the operating characteristics of photovoltaic thermal integration systems and air conditioners, resulting in certain limitations in the evaluation of the energy-saving potential of building energy systems.

[0006] To achieve the above purpose, the technical solution adopted in the embodiment of the present application is as follows:

[0007] In a first aspect, an embodiment of the present application provides a method for processing power information of a building energy system, the method comprising:

[0008] Acquire the ambient temperature, solar radiation intensity, a first attribute parameter of an integrated photovoltaic-thermal system in a building energy system, a second attribute parameter of a building virtual energy storage system in the building energy system, and a third attribute parameter of a storage battery in the building energy system;

[0009] Determining the output electric power of the integrated photovoltaic and thermal integration system according to the solar radiation intensity and the first attribute parameter;

[0010] Determining the operating power consumption of the air conditioner in the building energy system according to the solar radiation intensity, the ambient temperature and the second attribute parameter;

[0011] Determine the charging power of the battery and the discharging power of the battery according to the third attribute parameter, the output power of the integrated photovoltaic and thermal system, the operating power consumption of the air conditioner, the operating characteristic model of the battery, and the power consumed by the preset uncontrollable load;

[0012] The target purchased electric power of the building where the building energy system is located is determined based on the output electric power of the integrated photovoltaic and thermal integration system, the operating electric power consumed by the air conditioner, the electric power consumed by the preset uncontrollable load, the charging power of the battery and the discharging power of the battery.

[0013] As an optional implementation, the integrated photovoltaic-thermal system at least includes: a photovoltaic cell and a heat pump;

[0014] Determining the output electric power of the integrated photovoltaic-thermal system according to the solar radiation intensity and the first attribute parameter includes:

[0015] Determining the output electrical power and output thermal power of the photovoltaic cell according to the solar radiation intensity and the first attribute parameter;

[0016] Determining the output electrical power of the heat pump according to the output thermal power of the photovoltaic cell and the first property parameter;

[0017] The difference between the output electric power of the photovoltaic cell and the output electric power of the heat pump is used as the output electric power of the integrated photovoltaic-thermal system.

[0018] As an optional implementation, the first attribute parameter includes: the area of ​​the photovoltaic cell, the number of the photovoltaic cells, the reference efficiency of the photovoltaic cell, the real-time temperature of the photovoltaic cell, the reference temperature of the photovoltaic cell, the reflection coefficient of the photovoltaic cell and the temperature coefficient of the photovoltaic cell;

[0019] The step of determining the output electric power and the output thermal power of the photovoltaic cell according to the solar radiation intensity and the first attribute parameter comprises:

[0020] Determining the operating efficiency information of the photovoltaic cell according to the reference efficiency of the photovoltaic cell, the real-time temperature of the photovoltaic cell, the reference temperature of the photovoltaic cell, and the temperature coefficient of the photovoltaic cell;

[0021] Determining the output power of the photovoltaic cell according to the operating efficiency information of the photovoltaic cell, the solar radiation intensity, the area of ​​the photovoltaic cell and the number of the photovoltaic cells;

[0022] The output thermal power of the photovoltaic cell is determined according to the operation efficiency information of the photovoltaic cell, the reflection coefficient of the photovoltaic cell, the solar radiation intensity, the area of ​​the photovoltaic cell and the number of the photovoltaic cells.

[0023] As an optional implementation, the first attribute parameter also includes: specific heat capacity of water, mass flow rate of water in the pipeline, inlet temperature of the pipeline and heating efficiency of the heat pump;

[0024] The step of determining the output electrical power of the heat pump according to the output thermal power of the photovoltaic cell and the first property parameter comprises:

[0025] Determining the output thermal power of the heat pump according to the output thermal power of the photovoltaic cell, the specific heat capacity of the water, the mass flow rate of the water in the pipeline, the inlet temperature of the pipeline, and the outlet temperature of the pipeline;

[0026] The output electrical power of the heat pump is determined according to the output thermal power of the heat pump and the heating efficiency of the heat pump.

[0027] As an optional implementation, determining the operating power consumption of the air conditioner in the building energy system according to the solar radiation intensity, the ambient temperature and the second attribute parameter includes:

[0028] determining a cooling capacity of the air conditioner according to the solar radiation intensity, the ambient temperature and the second attribute parameter;

[0029] Determining operating efficiency information of the air conditioner according to the ambient temperature;

[0030] The power consumption of the air conditioner is determined according to the cooling capacity of the air conditioner and the operation efficiency information of the air conditioner.

[0031] As an optional implementation, the second attribute parameter includes: air density, specific heat capacity of air, volume of the building, indoor temperature, thermal conductivity of the wall, thermal conductivity of the roof, area of ​​the wall, area of ​​the roof, area of ​​the window, flow rate of natural convection, solar radiation coefficient, indoor artificial heat density and number of building floors;

[0032] The determining the cooling capacity of the air conditioner according to the solar radiation intensity, the ambient temperature and the second attribute parameter includes:

[0033] Determining the conduction heat of the wall according to the thermal conductivity of the wall, the area of ​​the wall, the thermal conductivity of the roof, the area of ​​the roof, the ambient temperature and the indoor temperature;

[0034] Determining the convection heat of natural ventilation according to the air density, the specific heat capacity of the air, the flow rate of the natural convection, the ambient temperature and the indoor temperature;

[0035] Determining solar radiation heat according to the solar radiation coefficient, the area of ​​the window and the solar radiation intensity;

[0036] Determining indoor artificial heat according to the indoor artificial heat density, the number of floors of the building and the area of ​​the roof;

[0037] The cooling capacity of the air conditioner is determined according to the conductive heat of the wall, the convective heat of the natural ventilation, the solar radiation heat, the artificial heat in the room, the air density, the specific heat capacity of the air, the volume of the building and the indoor temperature.

[0038] As an optional implementation, determining the charging power of the battery and the discharging power of the battery according to the third attribute parameter, the output power of the integrated photovoltaic and thermal system, the operating power consumption of the air conditioner, the operating characteristic model of the battery, and the power consumed by the preset uncontrollable load includes:

[0039] constructing an operation characteristic model of the battery according to the third attribute parameter, wherein the operation characteristic model of the battery includes state of charge constraint information, operation power constraint information and operation state constraint information;

[0040] The charging power of the battery and the discharging power of the battery are determined based on the output electric power of the integrated photovoltaic and thermal system, the operating power consumption of the air conditioner, the operating characteristic model of the battery and the electric power consumed by the preset uncontrollable load.

[0041] As an optional implementation, the third attribute parameter includes: the self-consumption coefficient of the battery, the charging efficiency of the battery, the discharging efficiency of the battery, the state of charge of the battery at the first moment, the state of charge of the battery at the second moment, the charging action function of the battery, the discharging action function of the battery, the minimum charge constraint of the battery, the maximum charge constraint of the battery, the maximum charging power of the battery, and the maximum discharging power of the battery;

[0042] The step of constructing the operation characteristic model of the battery according to the third attribute parameter includes:

[0043] Determine the state of charge constraint information of the battery according to the minimum charge constraint of the battery, the maximum charge constraint of the battery, the state of charge of the battery at the first moment, and the state of charge of the battery at the second moment;

[0044] Determining the operating power constraint information of the battery and the operating state constraint information of the battery according to the charging action function of the battery, the discharging action function of the battery, the maximum charging power of the battery, and the maximum discharging power of the battery;

[0045] An operating characteristic model of the battery is constructed according to the self-consumption coefficient of the battery, the charging efficiency of the battery, the discharging efficiency of the battery, the charge state constraint information of the battery, the operating power constraint information of the battery and the operating state constraint information of the battery.

[0046] As an optional implementation, determining the target purchased electric power of the building where the building energy system is located according to the output electric power of the integrated photovoltaic and thermal system, the operating electric power consumed by the air conditioner, the electric power consumed by the preset uncontrollable load, the charging power of the battery, and the discharging power of the battery includes:

[0047] The target purchased electric power of the building where the building energy system is located is determined based on the output electric power of the integrated photovoltaic and thermal integration system, the operating electric power consumed by the air conditioner, the electric power consumed by the preset uncontrollable load, the charging power of the battery, the discharging power of the battery, the preset power balance constraint model and the preset heat flow balance constraint model.

[0048] In a second aspect, an embodiment of the present application provides a power information processing device for a building energy system, the device comprising:

[0049] An acquisition module is used to acquire the ambient temperature, solar radiation intensity, a first attribute parameter of an integrated photovoltaic-thermal integrated system in a building energy system, a second attribute parameter of a building virtual energy storage system in the building energy system, and a third attribute parameter of a storage battery in the building energy system;

[0050] A determination module, used to determine the output electric power of the integrated photovoltaic and thermal integration system according to the solar radiation intensity and the first attribute parameter;

[0051] The determination module is further used to determine the operating power consumption of the air conditioner in the building energy system according to the solar radiation intensity, the ambient temperature and the second attribute parameter;

[0052] The determination module is further used to determine the charging power of the battery and the discharging power of the battery according to the third attribute parameter, the output power of the integrated photovoltaic and thermal system, the operating power consumption of the air conditioner, the operating characteristic model of the battery, and the power consumed by the preset uncontrollable load;

[0053] The determination module is also used to determine the target purchased electric power of the building where the building energy system is located based on the output electric power of the integrated photovoltaic and thermal system, the operating electric power consumed by the air conditioner, the electric power consumed by the preset uncontrollable load, the charging power of the battery, and the discharging power of the battery.

[0054] As an optional implementation, the integrated photovoltaic-thermal system includes at least: a photovoltaic cell and a heat pump; the determination module is specifically used for:

[0055] Determining the output electrical power and output thermal power of the photovoltaic cell according to the solar radiation intensity and the first attribute parameter;

[0056] Determining the output electrical power of the heat pump according to the output thermal power of the photovoltaic cell and the first property parameter;

[0057] The difference between the output electric power of the photovoltaic cell and the output electric power of the heat pump is used as the output electric power of the integrated photovoltaic-thermal system.

[0058] As an optional implementation, the first attribute parameter includes: the area of ​​the photovoltaic cell, the number of the photovoltaic cells, the reference efficiency of the photovoltaic cell, the real-time temperature of the photovoltaic cell, the reference temperature of the photovoltaic cell, the reflection coefficient of the photovoltaic cell and the temperature coefficient of the photovoltaic cell; the determination module is specifically used for:

[0059] Determining the operating efficiency information of the photovoltaic cell according to the reference efficiency of the photovoltaic cell, the real-time temperature of the photovoltaic cell, the reference temperature of the photovoltaic cell, and the temperature coefficient of the photovoltaic cell;

[0060] Determining the output power of the photovoltaic cell according to the operating efficiency information of the photovoltaic cell, the solar radiation intensity, the area of ​​the photovoltaic cell and the number of the photovoltaic cells;

[0061] The output thermal power of the photovoltaic cell is determined according to the operation efficiency information of the photovoltaic cell, the reflection coefficient of the photovoltaic cell, the solar radiation intensity, the area of ​​the photovoltaic cell and the number of the photovoltaic cells.

[0062] As an optional implementation, the first attribute parameter further includes: specific heat capacity of water, mass flow rate of water in the pipeline, inlet temperature of the pipeline and heating efficiency of the heat pump; the determination module is specifically used for:

[0063] Determining the output thermal power of the heat pump according to the output thermal power of the photovoltaic cell, the specific heat capacity of the water, the mass flow rate of the water in the pipeline, the inlet temperature of the pipeline, and the outlet temperature of the pipeline;

[0064] The output electrical power of the heat pump is determined according to the output thermal power of the heat pump and the heating efficiency of the heat pump.

[0065] As an optional implementation manner, the determining module is specifically used for:

[0066] determining a cooling capacity of the air conditioner according to the solar radiation intensity, the ambient temperature and the second attribute parameter;

[0067] Determining operating efficiency information of the air conditioner according to the ambient temperature;

[0068] The power consumption of the air conditioner is determined according to the cooling capacity of the air conditioner and the operation efficiency information of the air conditioner.

[0069] As an optional implementation, the second attribute parameter includes: air density, specific heat capacity of air, volume of the building, indoor temperature, thermal conductivity of the wall, thermal conductivity of the roof, area of ​​the wall, area of ​​the roof, area of ​​the window, flow rate of natural convection, solar radiation coefficient, indoor artificial heat density and number of floors of the building; the determination module is specifically used for:

[0070] Determining the conduction heat of the wall according to the thermal conductivity of the wall, the area of ​​the wall, the thermal conductivity of the roof, the area of ​​the roof, the ambient temperature and the indoor temperature;

[0071] Determining the convection heat of natural ventilation according to the air density, the specific heat capacity of the air, the flow rate of the natural convection, the ambient temperature and the indoor temperature;

[0072] Determining solar radiation heat according to the solar radiation coefficient, the area of ​​the window and the solar radiation intensity;

[0073] Determining indoor artificial heat according to the indoor artificial heat density, the number of floors of the building and the area of ​​the roof;

[0074] The cooling capacity of the air conditioner is determined according to the conductive heat of the wall, the convective heat of the natural ventilation, the solar radiation heat, the artificial heat in the room, the air density, the specific heat capacity of the air, the volume of the building and the indoor temperature.

[0075] As an optional implementation manner, the determining module is specifically used for:

[0076] constructing an operation characteristic model of the battery according to the third attribute parameter, wherein the operation characteristic model of the battery includes state of charge constraint information, operation power constraint information and operation state constraint information;

[0077] The charging power of the battery and the discharging power of the battery are determined based on the output electric power of the integrated photovoltaic and thermal system, the operating power consumption of the air conditioner, the operating characteristic model of the battery and the electric power consumed by the preset uncontrollable load.

[0078] As an optional implementation, the third attribute parameter includes: the self-consumption coefficient of the battery, the charging efficiency of the battery, the discharge efficiency of the battery, the state of charge of the battery at the first moment, the state of charge of the battery at the second moment, the charging action function of the battery, the discharge action function of the battery, the minimum charge constraint of the battery, the maximum charge constraint of the battery, the maximum charging power of the battery, and the maximum discharge power of the battery; the determination module is specifically used for:

[0079] Determine the state of charge constraint information of the battery according to the minimum charge constraint of the battery, the maximum charge constraint of the battery, the state of charge of the battery at the first moment, and the state of charge of the battery at the second moment;

[0080] Determining the operating power constraint information of the battery and the operating state constraint information of the battery according to the charging action function of the battery, the discharging action function of the battery, the maximum charging power of the battery, and the maximum discharging power of the battery;

[0081] An operating characteristic model of the battery is constructed according to the self-consumption coefficient of the battery, the charging efficiency of the battery, the discharging efficiency of the battery, the charge state constraint information of the battery, the operating power constraint information of the battery and the operating state constraint information of the battery.

[0082] As an optional implementation manner, the determining module is specifically used for:

[0083] The target purchased electric power of the building where the building energy system is located is determined based on the output electric power of the integrated photovoltaic and thermal integration system, the operating electric power consumed by the air conditioner, the electric power consumed by the preset uncontrollable load, the charging power of the battery, the discharging power of the battery, the preset power balance constraint model and the preset heat flow balance constraint model.

[0084] In a third aspect, an embodiment of the present application provides a computer device, comprising: a processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the computer device is running, the processor communicates with the memory through the bus, and the processor executes the machine-readable instructions to perform the steps of the power information processing method of the building energy system as described in the first aspect above.

[0085] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps of the power information processing method for a building energy system as described in the first aspect above are executed.

[0086] The beneficial effects of this application are:

[0087] The present application provides a power information processing method and device for a building energy system, which obtains the ambient temperature and solar radiation intensity under different meteorological conditions, and obtains the first attribute parameter of the integrated photovoltaic-thermal integration system, the second attribute parameter of the building virtual energy storage system, and the third attribute parameter of the battery. Considering the influence of solar radiation on the operating characteristics of the integrated photovoltaic-thermal integration system, a light-to-electric conversion model and a light-to-heat conversion model of the integrated photovoltaic-thermal integration system are established according to the solar radiation intensity and the first attribute parameter, and the output electric power of the integrated photovoltaic-thermal integration system is determined. Considering the influence of solar radiation and ambient temperature on the building's cooling demand and the operating characteristics of the air conditioner in the building energy system, a building cooling demand model is established according to the solar radiation intensity, ambient temperature, and the second attribute parameter, and the operating power consumption of the air conditioner is determined. According to the third attribute parameter, the output electric power of the integrated photovoltaic-thermal integration system, the operating power consumption of the air conditioner, the pre-established operating characteristic model of the battery, and the power consumed by the preset uncontrollable load, the charging and discharging state, charging power, and discharging power of the battery are determined. Based on the output power of the integrated photovoltaic and thermal system, the power consumed by the air conditioner, the power consumed by the preset uncontrollable load, the charging power of the battery and the discharging power of the battery, the target purchased power of the building where the building energy system is located is determined, and then the minimum operating cost of the building where the building energy system is located during the entire operating cycle is determined, so as to accurately predict the energy-saving potential of the building energy system when considering meteorological conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0088] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0089] Figure 1 A schematic diagram of the structure of a building energy system provided in an embodiment of the present application;

[0090] Figure 2 A schematic diagram of a process flow of a power information processing method for a building energy system provided in an embodiment of the present application;

[0091] Figure 3 A schematic diagram of a process for determining the output electric power of an integrated photovoltaic-thermal integrated system according to a power information processing method for a building energy system provided in an embodiment of the present application;

[0092] Figure 4 A schematic diagram of a process for determining the output electrical power and output thermal power of a photovoltaic cell in a power information processing method for a building energy system provided in an embodiment of the present application;

[0093] Figure 5 A schematic diagram of a flow chart of determining the output electric power of a heat pump in a power information processing method for a building energy system provided in an embodiment of the present application;

[0094] Figure 6 A schematic diagram of a flow chart of determining the operating power consumption of an air conditioner in a building energy system according to a power information processing method of a building energy system provided in an embodiment of the present application;

[0095] Figure 7 A schematic diagram of a flow chart of determining the cooling capacity of an air conditioner in a power information processing method for a building energy system provided in an embodiment of the present application;

[0096] Figure 8 A schematic diagram of a flow chart of constructing an operating characteristic model of a battery in a power information processing method for a building energy system provided in an embodiment of the present application;

[0097] Fig. 9 Another schematic diagram of a flow chart of constructing an operating characteristic model of a battery in a power information processing method for a building energy system provided in an embodiment of the present application;

[0098] Fig.10 A module structure diagram of a power information processing device for a building energy system provided in an embodiment of the present application;

[0099] Fig.11A schematic diagram of the structure of a computer device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0100] To make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. It should be understood that the drawings in the present application only serve the purpose of explanation and description and are not used to limit the scope of protection of the present application. In addition, it should be understood that the schematic drawings are not drawn in real proportion. The flowchart used in this application shows the operations implemented according to some embodiments of the present application. It should be understood that the operations of the flowchart can be implemented out of sequence, and the steps without logical context can be reversed in order or implemented simultaneously. In addition, those skilled in the art can add one or more other operations to the flowchart under the guidance of the content of the present application, or remove one or more operations from the flowchart.

[0101] In addition, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0102] It should be noted that the term "comprising" will be used in the embodiments of the present application to indicate the existence of the features declared thereafter, but does not exclude the addition of other features.

[0103] At present, the operating characteristics of the photovoltaic-thermal integrated system and the cooling demand of the air conditioner are characterized based on defined constant experimental parameters. However, variable climate conditions will affect the operation of the photovoltaic-thermal integrated system on the power supply side and the cooling demand of the air conditioner on the power demand side. The existing technology does not consider the impact of actual climate conditions on the operating characteristics of the photovoltaic-thermal integrated system and the air conditioner, resulting in the inability to accurately evaluate the energy saving potential of the building energy system.

[0104] Based on the above problems, the embodiment of the present application provides a power information processing method for a building energy system, which considers the impact of climate conditions on the operation of the building energy system in a building energy system that integrates a photovoltaic-thermal integrated system, a building virtual energy storage system, air conditioning, batteries, and multiple types of load demands. In terms of the integrated photovoltaic-thermal integrated system, the impact of solar radiation on the operating efficiency of photovoltaic cells is considered; in terms of virtual energy storage, the impact of ambient temperature on the building's cooling demand and air conditioning operation is considered, so as to accurately predict the target purchased electrical power of the building, improve the energy-saving potential, and achieve energy-saving operation of the building energy system under different climate conditions.

[0105] Figure 1 A schematic diagram of the structure of the building energy system provided in the embodiment of the present application is shown in FIG. Figure 1 As shown in the figure, the building energy system includes an integrated photovoltaic photovoltaic system, a building virtual energy storage system, air conditioning, batteries and uncontrollable loads. Among them, the integrated photovoltaic photovoltaic system consists of photovoltaic cells, collectors, heat exchangers, heat pumps and heat storage tanks.

[0106] Figure 2 The flowchart of the power information processing method of the building energy system provided in the embodiment of the present application is shown in FIG. 1 , and the execution subject of the method can be any computer device with computing and processing capabilities. Figure 2 As shown, the method includes:

[0107] S201, obtaining the ambient temperature, solar radiation intensity, the first attribute parameter of the integrated photovoltaic and thermal integration system in the building energy system, the second attribute parameter of the building virtual energy storage system in the building energy system, and the third attribute parameter of the battery in the building energy system.

[0108] Optionally, based on the changing meteorological conditions, the ambient temperature T in each preset fixed time period is obtained. a，t And the solar radiation intensity I solar，t , where t represents any fixed time period in each preset fixed time period. For example, the preset fixed time period may be 1 hour. Ambient temperature T a，t can be the average value of the ambient temperature at each moment in the period t. Correspondingly, the solar radiation intensity I solar，t It can be the average value of solar radiation intensity at each moment in time period t.

[0109] The first attribute parameter of the integrated photovoltaic-thermal system, the second attribute parameter of the building virtual energy storage system and the third attribute parameter of the battery are obtained, wherein the first attribute parameter is used to characterize the attributes of each component in the integrated photovoltaic-thermal system, and the attributes of the component may at least include the temperature, quantity, area and reference efficiency of the component; the second attribute parameter is used to characterize the attributes of the building virtual energy storage system, such as the volume of the building and the area of ​​the roof; the third attribute parameter is used to characterize the attributes of the battery, such as the self-consumption coefficient of the battery.

[0110] S202: Determine the output electric power of the integrated photovoltaic and thermal system according to the solar radiation intensity and the first attribute parameter.

[0111] Optionally, as meteorological conditions change, the influence of solar radiation on the operating characteristics of the integrated photovoltaic and thermal system is considered, and the solar radiation intensity I in each fixed period is calculated. solar，t As well as the first attribute parameters of the integrated photovoltaic-thermal system, the light-to-electricity conversion model and light-to-heat conversion model of the integrated photovoltaic-thermal system are established, and based on the solar radiation intensity I in each fixed period solar，t , light-to-electricity conversion model, light-to-heat conversion model and the first attribute parameter, determine the output power P of the integrated photovoltaic-thermal system in each fixed period IG，t .

[0112] S203: Determine the operating power consumption of the air conditioner in the building energy system according to the solar radiation intensity, the ambient temperature and the second attribute parameter.

[0113] Optionally, considering the impact of solar radiation and ambient temperature on the cooling demand of the building and the operating characteristics of the air conditioner in the building energy system, the solar radiation intensity I solar，t 、Ambient temperature T a，t As well as the second attribute parameters of the building virtual energy storage system, a building cooling demand model is established, and based on the building cooling demand model, the solar radiation intensity I solar，t 、Ambient temperature T a，t and the second attribute parameter to determine the power consumption P of the air conditioner during each fixed period of time ac，t .

[0114] S204. Determine the charging power and discharging power of the battery according to the third attribute parameter, the output power of the integrated photovoltaic and thermal system, the operating power consumption of the air conditioner, the operating characteristic model of the battery, and the power consumed by the preset uncontrollable load.

[0115] Optionally, according to the third property parameter of the battery, the output power P of the integrated photovoltaic and thermal integration system in each fixed time period IG，t、Power consumption of air conditioner operation P ac，t , the pre-established battery operation characteristic model and the power P consumed by the uncontrollable loads preset in each fixed period L，t , determine the charge and discharge status of the battery in each fixed time period, and then determine the charging power of the battery in each fixed time period And the discharge power of the battery in each fixed period

[0116] S205. Determine the target purchased power of the building where the building energy system is located based on the output power of the integrated photovoltaic and thermal system, the power consumed by the air conditioner, the power consumed by the preset uncontrollable load, the charging power of the battery, and the discharging power of the battery.

[0117] Optionally, according to the output power P of the integrated photovoltaic and thermal system in each fixed time period IG，t 、Power consumption of air conditioner operation P ac，t , the power consumed by the preset uncontrollable load P L，t , Battery charging power And the battery discharge power Determine the target purchased power P of the building where the building energy system is located in each fixed period grid，t , where the target purchase power P grid，t It represents the power that the building interacts with the grid during a fixed period of time.

[0118] Purchase electric power P according to the target of the building where the building energy system is located in each fixed period grid，t , an optimization model of the minimum objective function with the lowest operating cost as the goal is established based on the following formula:

[0119]

[0120] Among them, F is the objective function, t represents a fixed period, is the set of fixed time periods, representing the entire operation cycle of the building where the building energy system is located, P grid，t Purchase electrical power for a target building where the building energy system is located during each fixed period of time.

[0121] According to the optimization model of the minimum objective function, the minimum operating cost of the building where the building energy system is located during the entire operating cycle can be determined to accurately predict the energy-saving potential of the building energy system.

[0122] In this embodiment, the ambient temperature and solar radiation intensity under different meteorological conditions are obtained, and the first attribute parameter of the integrated photovoltaic-thermal integration system, the second attribute parameter of the building virtual energy storage system, and the third attribute parameter of the battery are obtained. Considering the influence of solar radiation on the operating characteristics of the integrated photovoltaic-thermal integration system, the light-to-electric conversion model and the light-to-heat conversion model of the integrated photovoltaic-thermal integration system are established according to the solar radiation intensity and the first attribute parameter, and the output power of the integrated photovoltaic-thermal integration system is determined. Considering the influence of solar radiation and ambient temperature on the building's cooling demand and the operating characteristics of the air conditioner in the building energy system, the building cooling demand model is established according to the solar radiation intensity, ambient temperature, and the second attribute parameter, and the operating power consumption of the air conditioner is determined. According to the third attribute parameter, the output power of the integrated photovoltaic-thermal integration system, the operating power consumption of the air conditioner, the pre-established operating characteristic model of the battery, and the power consumed by the preset uncontrollable load, the charging and discharging state, charging power, and discharging power of the battery are determined. Based on the output power of the integrated photovoltaic and thermal system, the power consumed by the air conditioner, the power consumed by the preset uncontrollable load, the charging power of the battery and the discharging power of the battery, the target purchased power of the building where the building energy system is located is determined, and then the minimum operating cost of the building where the building energy system is located during the entire operating cycle is determined, so as to accurately predict the energy-saving potential of the building energy system when considering meteorological conditions.

[0123] As an optional implementation, the integrated photovoltaic-thermal system includes at least: a photovoltaic cell and a heat pump.

[0124] Optionally, continue to refer to Figure 1 The integrated photovoltaic and thermal system includes photovoltaic cells, heat pump collectors, heat exchangers and heat storage tanks.

[0125] The following is a detailed description of the process of determining the output electric power of the integrated photovoltaic-thermal system according to the solar radiation intensity and the first attribute parameter.

[0126] Figure 3 A schematic diagram of a process for determining the output electric power of an integrated photovoltaic-thermal integrated system according to a power information processing method for a building energy system provided in an embodiment of the present application is shown in FIG. Figure 3 As shown, the step of determining the output electric power of the integrated photovoltaic-thermal system according to the solar radiation intensity and the first attribute parameter in the above step S202 includes:

[0127] S301. Determine the output electrical power and output thermal power of the photovoltaic cell according to the solar radiation intensity and the first attribute parameter.

[0128] Optionally, considering the influence of solar radiation on the operating characteristics of photovoltaic cells in the integrated photovoltaic-thermal system, according to the solar radiation intensity I solar，t As well as the first attribute parameters of the integrated photovoltaic-thermal system, the light-to-electric conversion model and light-to-heat conversion model of photovoltaic cells in the integrated photovoltaic-thermal system are established. Based on the light-to-electric conversion model, light-to-heat conversion model, and the solar radiation intensity I in each fixed period solar，t And the first attribute parameter, determine the output power P of the photovoltaic cell in each fixed period PV，t And the output heat power H PV，t Among them, the light-to-electricity conversion model is used to characterize the operating characteristics of photovoltaic cells converting light energy into electrical energy under different meteorological conditions, and the light-to-heat conversion model is used to characterize the operating characteristics of photovoltaic cells converting light energy into thermal energy under different meteorological conditions.

[0129] S302: Determine the output electrical power of the heat pump according to the output thermal power of the photovoltaic cell and the first attribute parameter.

[0130] Optionally, continue to refer to Figure 1 The heat generated by the photovoltaic cell is transferred to the cold water at the heat exchanger to form low-quality hot water. The heat pump further heats the low-quality hot water into high-quality hot water and stores it in the heat storage tank. PV，t Based on the first attribute parameter of the integrated photovoltaic-thermal system, the operation model of the heat pump in the integrated photovoltaic-thermal system is established. Based on the operation model of the heat pump and the first attribute parameter, the output power P of the heat pump in each fixed time period is determined. HP，t Among them, the operation model of the heat pump is used to characterize the operation characteristics of the heat pump heating low-quality hot water into high-quality hot water.

[0131] S303: taking the difference between the output power of the photovoltaic cell and the output power of the heat pump as the output power of the integrated photovoltaic-thermal system.

[0132] Optionally, in an integrated photovoltaic-thermal system, photovoltaic cells convert light energy into electrical energy, and part of the electrical energy is consumed for further heating of low-quality hot water by heat pumps. The output power P of the photovoltaic cells in each fixed period is calculated as follows: PV，t The output power P of the heat pump HP，t The difference between the two is taken as the output power P of the integrated photovoltaic and thermal system in each fixed period. IG，t That is to say, the output power P of the integrated photovoltaic and thermal system in each fixed period is determined based on the following formula: IG，t :

[0133] P IG，t =P PV，t -PHP，t

[0134] Among them, P IG，t is the output power of the integrated photovoltaic and thermal system in each fixed period, P PV，t is the output power of the photovoltaic cell in each fixed period, P HP，t is the output electrical power of the heat pump in each fixed time period.

[0135] In this embodiment, considering the influence of solar radiation on the operating characteristics of photovoltaic cells in the integrated photovoltaic-thermal system, according to the solar radiation intensity and the first attribute parameter, the photovoltaic light-electric conversion model and the light-heat conversion model of the integrated photovoltaic-thermal system are established to characterize the operating characteristics of photovoltaic cells converting light energy into electrical energy and converting light energy into thermal energy under different meteorological conditions. Based on the light-electric conversion model, the light-heat conversion model, the solar radiation intensity and the first attribute parameter, the output electric power and the output thermal power of the photovoltaic cell are determined, and according to the output thermal power and the first attribute parameter of the photovoltaic cell, the operation model of the heat pump is established to characterize the operating characteristics of the heat pump heating low-quality hot water into high-quality hot water. Based on the operation model and the first attribute parameter of the heat pump, the output electric power of the heat pump is determined, and the difference between the output electric power of the photovoltaic cell and the output electric power of the heat pump is used as the output electric power of the integrated photovoltaic-thermal system. Since the influence of changes in meteorological conditions on the operating characteristics of photovoltaic cells and heat pumps is taken into account, the output electric power of the integrated photovoltaic-thermal system is accurately determined.

[0136] As an optional implementation, the first attribute parameter includes: the area A of the photovoltaic cell cell 、N number of photovoltaic cells cell , the reference efficiency η of photovoltaic cells ref , real-time temperature of photovoltaic cells, reference temperature T of photovoltaic cells ref , the reflection coefficient α of the photovoltaic cell and the temperature coefficient γ of the photovoltaic cell.

[0137] For example, the reference efficiency η of a photovoltaic cell is ref can be 0.12, the reference temperature of the photovoltaic cell T ref The temperature may be 298K, the reflection coefficient α of the photovoltaic cell may be 0.2, and the temperature coefficient γ of the photovoltaic cell may be 0.0045.

[0138] The following is a detailed description of the process of determining the output electrical power and output thermal power of the photovoltaic cell according to the solar radiation intensity and the first attribute parameter.

[0139] Figure 4 A schematic diagram of a process for determining the output electrical power and output thermal power of a photovoltaic cell in a power information processing method for a building energy system provided in an embodiment of the present application, such as Figure 4As shown, the step of determining the output electric power and output thermal power of the photovoltaic cell according to the solar radiation intensity and the first attribute parameter in the above step S301 includes:

[0140] S401 . Determine operating efficiency information of the photovoltaic cell according to the reference efficiency of the photovoltaic cell, the real-time temperature of the photovoltaic cell, the reference temperature of the photovoltaic cell, and the temperature coefficient of the photovoltaic cell.

[0141] Optionally, the real-time temperature of the photovoltaic cell may be the temperature T of the photovoltaic cell in each fixed time period. cell，t , the temperature T of the photovoltaic cell in each fixed period cell，t Changes with the weather conditions, equivalent to the ambient temperature T in each fixed period a，t According to the reference efficiency η of photovoltaic cells ref , the temperature T of the photovoltaic cell in each fixed period cell，t , the reference temperature T of the photovoltaic cell ref And the temperature coefficient γ of the photovoltaic cell, the operating efficiency information η of the photovoltaic cell in each fixed time period is determined based on the following formula PV,t :

[0142] η PV,t =η ref (1-γ(T cell，t -T ref ))

[0143] Among them, η PV,t is the operating efficiency information of the photovoltaic cells in each fixed period, η ref is the reference efficiency of the photovoltaic cell, γ is the temperature coefficient of the photovoltaic cell, T cell，t is the temperature of the photovoltaic cell in each fixed period, T ref is the reference temperature of the photovoltaic cell.

[0144] S402: Determine the output power of the photovoltaic cells according to the operation efficiency information of the photovoltaic cells, the solar radiation intensity, the area of ​​the photovoltaic cells, and the number of the photovoltaic cells.

[0145] Optionally, obtain the rated minimum output power of the photovoltaic cell and the rated maximum output power of the photovoltaic cell And according to the operating efficiency information η of the photovoltaic cells in each fixed period PV,t 、The solar radiation intensity I in each fixed period solar，t 、Area of ​​photovoltaic cell A cell 、N number of photovoltaic cells cell , the rated minimum output power of photovoltaic cells and the rated maximum output power of the photovoltaic cell The light-to-electricity conversion model of photovoltaic cells is established based on the following formula, and the output power P of photovoltaic cells in each fixed period is determined: PV，t :

[0146] P PV，t =η PV，t I solar，t A cell N cell

[0147]

[0148] Among them, P PV，t is the output power of the photovoltaic cell in each fixed period, η PV，t is the operating efficiency information of the photovoltaic cells in each fixed period, I solar，t is the solar radiation intensity in each fixed period, A cell is the area of ​​the photovoltaic cell, N cell is the number of photovoltaic cells, is the rated minimum output power of the photovoltaic cell, It is the rated maximum output power of the photovoltaic cell.

[0149] S403, determining the output thermal power of the photovoltaic cell according to the operation efficiency information of the photovoltaic cell, the reflection coefficient of the photovoltaic cell, the solar radiation intensity, the area of ​​the photovoltaic cell and the number of the photovoltaic cells.

[0150] Optionally, obtain the rated minimum output thermal power of the photovoltaic cell and the rated maximum thermal output power of the photovoltaic cell According to the operating efficiency information η of the photovoltaic cells in each fixed period PV，t , the reflection coefficient α of the photovoltaic cell, the solar radiation intensity I in each fixed period solar，t 、Area of ​​photovoltaic cell A cell 、N number of photovoltaic cells cell , the rated minimum thermal output power of the photovoltaic cell and the rated maximum thermal output power of the photovoltaic cell The light-heat conversion model of photovoltaic cells is established based on the following formula, and the output thermal power H of photovoltaic cells in each fixed period is determined: PV，t :

[0151] H PV，t =(1-α-η PV，t )I solar，t A cell N cell

[0152]

[0153] Among them, HPV，t is the output thermal power of the photovoltaic cell in each fixed period, α is the reflection coefficient of the photovoltaic cell, η PV，t Is the operating efficiency information of photovoltaic cells in each fixed period of time, olac，t is the solar radiation intensity in each fixed period, A cell is the area of ​​the photovoltaic cell, N cell is the number of photovoltaic cells, is the rated minimum output thermal power of the photovoltaic cell, is the rated maximum output thermal power of the photovoltaic cell.

[0154] In this embodiment, the real-time temperature of the photovoltaic cell is the ambient temperature in each fixed time period. The operating efficiency information of the photovoltaic cell is determined based on the reference efficiency of the photovoltaic cell, the real-time temperature of the photovoltaic cell, the reference temperature of the photovoltaic cell and the temperature coefficient of the photovoltaic cell. According to the operating efficiency information of the photovoltaic cell, the solar radiation intensity, the area of ​​the photovoltaic cell and the number of photovoltaic cells, a light-to-electric conversion model of the photovoltaic cell is established, and the output electrical power of the photovoltaic cell is determined. According to the operating efficiency information of the photovoltaic cell, the reflection coefficient of the photovoltaic cell, the solar radiation intensity, the area of ​​the photovoltaic cell and the number of photovoltaic cells, a light-to-heat conversion model of the photovoltaic cell is established, and the output thermal power of the photovoltaic cell is determined. Based on the dynamic solar radiation and ambient temperature, the output electrical power and output electrical power of the photovoltaic cell are accurately determined.

[0155] As an optional implementation, the first attribute parameter also includes: the specific heat capacity of water c p , the mass flow rate of water in the pipeline during each fixed period m s,t , the inlet temperature of the pipeline in each fixed period of time T s，in，t And the heating efficiency of the heat pump η HP .

[0156] For example, the specific heat capacity of water c p It can be 4200 J / (kg·K), and the heating efficiency of the heat pump is η HP It can be 0.9.

[0157] The following describes in detail the process of determining the output electrical power of the heat pump according to the output thermal power of the photovoltaic cell and the first attribute parameter.

[0158] Figure 5 A schematic diagram of a process for determining the output electric power of a heat pump in a power information processing method for a building energy system provided in an embodiment of the present application is shown in FIG. Figure 5 As shown, the step of determining the output electrical power of the heat pump according to the output thermal power of the photovoltaic cell and the first attribute parameter in the above step S302 includes:

[0159] S501. Determine the output thermal power of the heat pump according to the output thermal power of the photovoltaic cell, the specific heat capacity of water, the mass flow rate of water in the pipeline, the inlet temperature of the pipeline, and the outlet temperature of the pipeline.

[0160] Optionally, according to the heating demand adjusted by the user in each fixed time period, the inlet temperature T of the pipeline in each fixed time period is determined. s，out，t According to the output thermal power H of the photovoltaic cells in each fixed period PV，t , specific heat capacity of water c p , the mass flow rate of water in the pipeline during each fixed period m s,t , the inlet temperature of the pipe T s，in，t and the pipe inlet temperature T s，out，t , the first operation model of the heat pump is established based on the following formula, and the output thermal power H of the heat pump in each fixed time period is determined HP，t :

[0161] H HP，t =c p m s,t (T s，in,t -T s，out，t )-HP V，t

[0162] Among them, H HP，t is the output thermal power of the heat pump in each fixed period, c p is the specific heat capacity of water, m s，t is the mass flow rate of water in the pipeline during each fixed period, T s，in，t is the inlet temperature of the pipeline in each fixed period, T s，out，t is the outlet temperature of the pipeline in each fixed period, H PV，t is the output thermal power of the photovoltaic cell in each fixed period of time.

[0163] S502: Determine the output electrical power of the heat pump according to the output thermal power of the heat pump and the heating efficiency of the heat pump.

[0164] Optionally, obtain the rated minimum electrical power for the heat pump operation and the rated maximum electrical power for heat pump operation According to the output heat power H of the heat pump in each fixed period HP，t , Heating efficiency of heat pump η HP , Rated minimum electrical power for heat pump operation and the rated maximum electrical power for heat pump operation The second operation model of the heat pump is established based on the following formula, and the output power P of the heat pump in each fixed period is determined: HP，t :

[0165]

[0166]

[0167] Among them, P HP，t is the output power of the heat pump in each fixed period, H HP，t is the output thermal power of the heat pump in each fixed period, η HP is the heating efficiency of the heat pump, is the rated minimum electrical power for the heat pump operation, The rated maximum electrical power for heat pump operation.

[0168] In this embodiment, a first operation model of the heat pump is established based on the output thermal power of the photovoltaic cell, the specific heat capacity of water, the mass flow rate of water in the pipeline, the inlet temperature and the outlet temperature of the pipeline, and the output thermal power of the heat pump is determined. A second operation model of the heat pump is established based on the output thermal power and heating efficiency of the heat pump, and the output electrical power of the heat pump is determined. Since the output thermal power of the photovoltaic cell is determined based on dynamic solar radiation, the output thermal power of the heat pump determined based on the output thermal power of the photovoltaic cell is more accurate, thereby improving the accuracy of the output electrical power of the heat pump.

[0169] The following describes in detail the process of determining the operating power consumption of the air conditioner in the building energy system according to the solar radiation intensity, the ambient temperature and the second attribute parameter.

[0170] Figure 6 A schematic diagram of a process for determining the operating power consumption of an air conditioner in a building energy system according to a power information processing method of a building energy system provided in an embodiment of the present application is shown in FIG. Figure 6 As shown, the step of determining the operating power consumption of the air conditioner in the building energy system according to the solar radiation intensity, the ambient temperature and the second attribute parameter in the above step S203 includes:

[0171] S601. Determine the cooling capacity of the air conditioner according to the solar radiation intensity, the ambient temperature and the second attribute parameter.

[0172] Optionally, the building where the building energy system is located has thermal inertia, so that the building has a virtual energy storage capacity, and the virtual energy storage capacity will be affected by the ambient temperature and the solar radiation coefficient. solar，t 、Ambient temperature T a，t and the second attribute parameters of the building virtual energy storage system, a first-order equivalent thermal parameter model is established, and according to the first-order equivalent thermal parameter model, the solar radiation intensity I solar，t 、Ambient temperature T a，t and the second attribute parameter of the building virtual energy storage system to determine the cooling capacity Q of the air conditioner in each fixed period ac，t Among them, the first-order equivalent thermal parameter model is used to characterize the thermal dynamic characteristics of the building.

[0173] S602: Determine the operating efficiency information of the air conditioner according to the ambient temperature.

[0174] Optionally, the air conditioner consumes electricity to transfer heat from indoors to outdoors. The refrigeration process of the air conditioner includes compression, evaporation, expansion and condensation. The operating efficiency of the air conditioner varies with the change of the external ambient temperature. a，t , the operating efficiency information COP of the air conditioner in each fixed period is determined based on the following formula ac，t :

[0175]

[0176] Among them, COP ac，t is the operating efficiency information of the air conditioner in each fixed period, T a，t is the ambient temperature during each fixed period of time.

[0177] S603: Determine the power consumption of the air conditioner according to the cooling capacity of the air conditioner and the operating efficiency information of the air conditioner.

[0178] Optionally, obtain the rated minimum power of the air conditioner and the rated maximum electrical power of the air conditioner According to the cooling capacity Q of the air conditioner in each fixed period ac，t , Air conditioning operating efficiency information COP act 、The minimum rated power of the air conditioner and the rated maximum electrical power of the air conditioner The building cooling demand model is established based on the following formula, and the power consumption P of the air conditioner in each fixed period is determined: ac，t :

[0179]

[0180]

[0181] Among them, P ac，t is the power consumption of the air conditioner during each fixed period, Q ac，t is the cooling capacity of the air conditioner in each fixed period, COP ac，t is the operating efficiency information of the air conditioner, The minimum rated power for the operation of the air conditioner. The maximum electrical power rating for the air conditioner's operation.

[0182] In this embodiment, a first-order equivalent thermal parameter model is established based on the solar radiation intensity, ambient temperature and the second attribute parameter of the building virtual energy storage system, and the cooling capacity of the air conditioner is determined. According to the ambient temperature, the operating efficiency information of the air conditioner is determined, and then according to the cooling capacity of the air conditioner and the operating efficiency information of the air conditioner, a building cold demand model is established, and the operating power consumption of the air conditioner is determined. Based on the dynamic ambient temperature and solar radiation intensity, the operating power consumption of the air conditioner is accurately determined.

[0183] As an optional implementation, the second attribute parameters include: air density ρ, specific heat capacity of air c, volume V of the building, indoor temperature T is 、The thermal conductivity of the wall H w , thermal conductivity of the roof H r 、The area of ​​the wall A w 、Roof area A r , the area of ​​the window A wo , the natural convection flow rate q is , solar radiation coefficient κ, indoor artificial heat density E eq，t And the number of floors N f .

[0184] For example, the air density ρ may be 1.225 kg / m 3 The specific heat capacity of air c can be 1030 J / (kg·K), and the thermal conductivity coefficient of the wall H w It can be 0.4W / (m 2 ·K), thermal conductivity of the roof H r It can be 0.2W / (m 2 K), the natural convection flow rate q is Can be 1.0m 3 / h, indoor artificial heat density E eq，t Can be 19W / m 2 , the area of ​​the roof is A r Equal to the area A of the photovoltaic cell cell .

[0185] The following is a detailed description of the process of determining the cooling capacity of the air conditioner according to the solar radiation intensity, the ambient temperature and the second attribute parameter.

[0186] Figure 7 A schematic diagram of a flow chart of determining the cooling capacity of an air conditioner according to a power information processing method of a building energy system provided in an embodiment of the present application, such as Figure 7 As shown, the step of determining the cooling capacity of the air conditioner according to the solar radiation intensity, the ambient temperature and the second attribute parameter in the above step S601 includes:

[0187] S701. Determine the conduction heat of the wall according to the thermal conductivity coefficient of the wall, the area of ​​the wall, the thermal conductivity coefficient of the roof, the area of ​​the roof, the ambient temperature, and the indoor temperature.

[0188] Optionally, according to the ambient temperature T in each fixed time period a，t 、The thermal conductivity of the wall H w 、The area of ​​the wall A w , thermal conductivity of the roof H r 、Roof area A r And the indoor temperature T in each fixed period is，t , Determine the wall conduction heat Q in each fixed period based on the following formula cou，t :

[0189] Q cou，t =(H w A w +H r A r )-(T a，t -T is，t )

[0190] Among them, Q cou，t is the heat conduction of the wall in each fixed period, H w is the thermal conductivity of the wall, A w is the area of ​​the wall, H r is the thermal conductivity of the roof, A r is the area of ​​the roof, T a，t is the ambient temperature in each fixed period, T is，t is the indoor temperature during each fixed time period.

[0191] S702: Determine the convection heat of natural ventilation according to air density, specific heat capacity of air, flow rate of natural convection, ambient temperature and indoor temperature.

[0192] Optionally, according to the ambient temperature T in each fixed time period a，t , Indoor temperature T in each fixed period is，t , air density ρ, specific heat capacity c of air, and natural convection flow rate q is , the convective heat Q of natural ventilation in each fixed period is determined based on the following formula cov，t :

[0193] Q cov，t =ρcq is (T a，t -T is，t )

[0194] Among them, Q cov，t is the convective heat of natural ventilation in each fixed period, ρ is the air density, c is the specific heat capacity of air, qis is the flow rate of natural convection.

[0195] S703: Determine the solar radiation heat according to the solar radiation coefficient, the area of ​​the window and the solar radiation intensity.

[0196] Optionally, according to the solar radiation intensity I in each fixed time period solar，t , solar radiation coefficient κ and window area A wo , based on the following formula, determine the solar radiation heat Q in each fixed period rad，t :

[0197] Q rad，t =κA wo I solar，t

[0198] Among them, Q rad，t is the solar radiation heat in each fixed period, κ is the solar radiation coefficient, A wo is the area of ​​the window, I solar，t is the solar radiation intensity in each fixed period of time.

[0199] S704: Determine the indoor artificial heat according to the indoor artificial heat density, the number of building floors and the area of ​​the roof.

[0200] Optionally, according to the indoor artificial heat density E eq，t 、Number of floors of the building f and the area of ​​the roof A r , based on the following formula, determine the indoor artificial heat Q in each fixed period eq，t :

[0201] Q eq，t =E eq，t N f A r

[0202] Among them, Q eq，t is the artificial heat in the room during each fixed period, E eq，t is the indoor artificial heat density, N f is the number of floors of the building, A r is the area of ​​the roof.

[0203] S705. Determine the cooling capacity of the air conditioner according to the heat conduction of the wall, the convection heat of natural ventilation, the heat radiation of the sun, the artificial heat in the room, the air density, the specific heat capacity of the air, the volume of the building and the indoor temperature.

[0204] Optionally, based on the air density ρ, the specific heat capacity c of the air, the volume V of the building, the heat conduction Q of the wall in each fixed time period cou，t , Convection heat of natural ventilation Q cov，t、Solar radiation heat Q rad，t 、Indoor artificial heat Q eq，t And the indoor temperature T is，t , based on the following formula, a first-order equivalent thermal parameter model is established to determine the cooling capacity Q of the air conditioner in each fixed period ac，t :

[0205]

[0206] Among them, Q ac，t is the cooling capacity of the air conditioner in each fixed period, ρ is the air density, c is the specific heat capacity of the air, V is the volume of the building, Q cou，t is the heat conduction of the wall in each fixed period, Q cov，t is the convection heat of natural ventilation in each fixed period, Q rad，t is the solar radiation heat in each fixed period, Q eq，t is the artificial heat in the room during each fixed period, T is，t is the indoor temperature during each fixed time period.

[0207] In this embodiment, based on the solar radiation intensity, ambient temperature and the second attribute parameter of the building virtual energy storage system, the conductive heat of the wall, the convective heat of natural ventilation, the solar radiation heat and the artificial heat in the room are determined respectively, and according to the conductive heat of the wall, the convective heat of natural ventilation, the solar radiation heat, the artificial heat in the room, the air density, the specific heat capacity of the air, the volume of the building and the indoor temperature, a first-order equivalent thermal parameter model is established to accurately determine the cooling capacity of the air conditioner.

[0208] Below, the process of determining the charging power and discharging power of the battery based on the third attribute parameter, the output power of the integrated photovoltaic and thermal system, the operating power consumption of the air conditioner, the operating characteristic model of the battery, and the power consumed by the preset uncontrollable load is described in detail.

[0209] Figure 8 A schematic diagram of a flow chart of constructing a battery operation characteristic model for a power information processing method for a building energy system provided in an embodiment of the present application, such as Figure 8 As shown, the step of determining the charging power of the battery and the discharging power of the battery in the above step S204 according to the third attribute parameter, the output power of the integrated photovoltaic and thermal integration system, the power consumed by the operation of the air conditioner, the operation characteristic model of the battery, and the power consumed by the preset uncontrollable load includes:

[0210] S801. Construct an operation characteristic model of a battery according to a third attribute parameter, wherein the operation characteristic model of the battery includes state of charge constraint information, operation power constraint information, and operation state constraint information.

[0211] Optionally, an operation characteristic model of the battery is constructed according to the third attribute parameter of the battery, and the operation characteristic model of the battery characterizes the state of charge constraint information, the operation power constraint information and the operation state constraint information of the battery. Among them, the state of charge constraint information is used to constrain the state of charge of the battery, the operation power constraint information is used to constrain the operation power of the battery, including the charging power and discharging power of the battery, and the operation state constraint information is used to constrain the charging and discharging state of the battery.

[0212] S802. Determine the charging power and discharging power of the battery according to the output power of the integrated photovoltaic and thermal system, the power consumed by the air conditioner, the operating characteristic model of the battery, and the power consumed by the preset uncontrollable load.

[0213] Optionally, according to the output power P of the integrated photovoltaic and thermal system in each fixed time period IG，t 、Power consumption of air conditioner operation P ac，t , the power consumed by the preset uncontrollable load in each fixed time period P L，t , the state of charge constraint information, operating power constraint information and operating state constraint information in the battery operation characteristic model, determine the charge and discharge state of the battery in each fixed time period, and then determine the charging power of the battery in each fixed time period And discharge power

[0214] In this embodiment, the operation characteristic model of the battery is constructed according to the third attribute parameter of the battery to characterize the state of charge constraint information, operation power constraint information and operation state constraint information of the battery. According to the output power of the integrated photovoltaic and thermal integration system, the operation power consumption of the air conditioner, the power consumed by the preset uncontrollable load, the state of charge constraint information, the operation power constraint information and the operation state constraint information in the operation characteristic model of the battery, the charge and discharge state of the battery is determined, and then the charging power and discharge power of the battery are determined. By considering the impact of the output power of the integrated photovoltaic and thermal integration system and the operation power consumption of the air conditioner under changing meteorological conditions, the charging power and discharge power of the battery are accurately determined.

[0215] As an optional implementation, the third attribute parameter includes: the self-consumption coefficient ε of the battery, the charging efficiency of the battery Battery discharge efficiency The battery state of charge E at the first moment bs，0 , the battery's state of charge E at the second moment bs，E , the charging action function A(t) of the battery in each fixed time period, the discharging action function B(t) of the battery in each fixed time period, and the minimum charge constraint of the battery Maximum charge limit of battery Maximum charging power of the battery And the maximum discharge power of the battery

[0216] Exemplarily, the self-consumption coefficient ε of the battery may be 0.1.

[0217] The following describes in detail the process of constructing the operation characteristic model of the battery based on the third attribute parameter.

[0218] Fig. 9 Another flowchart of the power information processing method for the building energy system provided in the embodiment of the present application for constructing the operating characteristic model of the battery is as follows: Fig. 9 As shown, the step of constructing the operation characteristic model of the battery according to the third attribute parameter in the above step S801 includes:

[0219] S901 . Determine battery state of charge constraint information according to a minimum charge constraint of the battery, a maximum charge constraint of the battery, a battery state of charge at a first moment, and a battery state of charge at a second moment.

[0220] Optionally, the state of charge E of the battery at the first moment bs，0 is the state of charge of the battery at the beginning of the entire operation cycle of the building where the building energy system is located, and the state of charge of the battery at the second moment is E bs，E The state of charge of the battery at the end of the entire operation cycle of the building where the building energy system is located. Maximum charge limit of battery The battery state of charge E at the first moment bs，0 and the battery's state of charge E at the second moment bs，E , the battery state of charge constraint information is determined based on the following two formulas:

[0221]

[0222] E bs，0 =E bs，E

[0223] Among them, E bs，t is the state of charge of the battery in each fixed period of time, is the minimum charge constraint of the battery, is the maximum charge constraint of the battery, E bs，0 is the state of charge of the battery at the first moment, E bs，E is the state of charge of the battery at the second moment.

[0224] The battery state of charge constraint information is used to characterize the battery state of charge E in each fixed time period. bs，t Are greater than or equal to the minimum charge constraint of the battery and is less than or equal to the maximum charge constraint of the battery The state of charge of the battery in the building where the building energy system is located at the beginning of the entire operation cycle is equal to the state of charge of the battery at the end of the operation cycle. That is to say, the state of charge of the battery at the first moment is E bs，0 The state of charge E of the battery at the second moment bs，E Be consistent.

[0225] S902: Determine the operating power constraint information of the battery and the operating state constraint information of the battery according to the charging action function of the battery, the discharging action function of the battery, the maximum charging power of the battery, and the maximum discharging power of the battery.

[0226] Optionally, according to the charging action function A(t) of the battery in each fixed time period, the discharging action function B(t) of the battery in each fixed time period, and the maximum charging power of the battery And the maximum discharge power of the battery The operating power constraint information of the battery and the operating state constraint information of the battery are determined based on the following three formulas:

[0227]

[0228]

[0229] A(t)+B(t)≤1

[0230] in, is the charging power of the battery in each fixed period of time, is the maximum charging power of the battery, is the discharge power of the battery in each fixed period, is the maximum discharge power of the battery, A(t) is the charging action function of the battery in each fixed time period, and B(t) is the discharging action function of the battery in each fixed time period.

[0231] The battery operation power constraint information and operation state constraint information are used to characterize the battery charging power in each fixed time period. Both are greater than or equal to 0 and less than or equal to the maximum charging power of the battery Discharge power of the battery in each fixed period of time Both greater than or equal to 0 and less than or equal to the maximum discharge power of the battery And the sum of the charging action function A(t) and the discharging action function B(t) of the battery in each fixed time period is less than or equal to 1. Exemplarily, the charging action function A(t) and the discharging action function B(t) of the battery in each fixed time period can both be binary variables. If A(t) is 1 and B(t) is 0, it means that the battery is in a charging state in the fixed time period; if A(t) is 0 and B(t) is 1, it means that the battery is in a discharging state in the fixed time period; if A(t) and B(t) are both 0, it means that the battery is in a static state in the fixed time period, and the battery is neither charged nor discharged.

[0232] S903, constructing an operation characteristic model of the battery according to the self-consumption coefficient of the battery, the charging efficiency of the battery, the discharging efficiency of the battery, the state of charge constraint information of the battery, the operating power constraint information of the battery and the operating state constraint information of the battery.

[0233] Optionally, the state of charge E of the battery in the previous fixed time period of each fixed time period is obtained. bs，t-1 , and according to the battery's self-consumption coefficient ε, the battery's charging efficiency Battery discharge efficiency Battery operating power constraint information, battery operating state constraint information, battery operating state constraint information, battery charging power in each fixed time period Discharge power of the battery in each fixed period of time The battery state of charge E in each fixed period bs，t and the battery charge state E in the previous fixed period of each fixed period bs，t-1 , the battery operation characteristic model is constructed based on the following six formulas:

[0234]

[0235]

[0236] E bs，0 =E bs，E

[0237]

[0238]

[0239] A(death)+B(death)≤1

[0240] Among them, E bs，t is the state of charge of the battery in a fixed period of time, E bs，t-1 is the state of charge of the battery in the previous fixed period of each fixed period, ε is the self-consumption coefficient of the battery, is the charging efficiency of the battery, is the charging power of the battery in each fixed period of time, is the discharge efficiency of the battery, is the discharge power of the battery in each fixed period, is the minimum charge constraint of the battery, is the maximum charge constraint of the battery, E bs，0 is the state of charge of the battery at the first moment, E bs，E is the battery state of charge at the second moment, is the maximum charging power of the battery, is the maximum discharge power of the battery, A(t) is the charging action function of the battery in each fixed time period, and B(t) is the discharging action function of the battery in each fixed time period.

[0241] In this embodiment, the state of charge constraint information of the battery is determined according to the minimum charge constraint, the maximum charge constraint, the state of charge of the battery at the first moment, and the state of charge of the battery at the second moment. The operating power constraint information and the operating state constraint information of the battery are determined according to the charging action function, the discharging action function, the maximum charging power, and the maximum discharging power of the battery. The operating characteristic model of the battery is accurately constructed according to the self-consumption coefficient, the charging efficiency, the discharging efficiency, the state of charge constraint information, the operating power constraint information, and the operating state constraint information of the battery, so as to determine the charging power and discharging power of the battery based on the operating characteristic model of the battery, in combination with the output power of the integrated photovoltaic and thermal integration system, the operating power consumed by the air conditioner, and the power consumed by the preset uncontrollable load.

[0242] As an optional implementation, the step of determining the target purchased electric power of the building where the building energy system is located according to the output electric power of the integrated photovoltaic and thermal integration system, the electric power consumed by the air conditioner, the electric power consumed by the preset uncontrollable load, the charging power of the battery, and the discharging power of the battery in the above step S205 includes:

[0243] The target purchased electric power of the building where the building energy system is located is determined based on the output electric power of the integrated photovoltaic and thermal integration system, the electric power consumed by the air conditioner, the electric power consumed by the preset uncontrollable load, the charging power of the battery, the discharging power of the battery, the preset power balance constraint model and the preset heat flow balance constraint model.

[0244] Optionally, obtain the flow rate m of the hot water load in each fixed time period l，t , the temperature of the cold water source in each fixed period of time T l，in，t And the temperature T of the hot water load in each fixed period l，out，t , according to the specific heat capacity of water c p, the mass flow rate of water in the pipeline during each fixed period m s，t , flow rate of hot water load m l，t , the temperature of the cold water source T l，in，t , hot water load temperature T l，out，t and the pipe inlet temperature T s，in，t , a heat flow balance constraint model is established based on the following formula:

[0245] c p m s,t T s，in,t +c p m l,t T l，in，t =c p m s,t T s，ou，t +c p m l,t T l，ou，t

[0246] Among them, c p is the specific heat capacity of water, m s，t is the mass flow rate of water in the pipeline during each fixed period, m l，t is the flow rate of hot water load in each fixed period, T l，in，t is the temperature of the cold water source in each fixed period, T l，out，t is the temperature of the hot water load in each fixed period, T s，in，t is the inlet temperature of the pipeline in each fixed period. The heat flow balance constraint model represents the heat flow balance, and the outlet temperature T of the pipeline in each fixed period can be determined based on the heat flow balance constraint model. s，ou，t To meet the heating needs of users.

[0247] According to the output power P of the integrated photovoltaic and thermal system in each fixed period IG，t 、Power consumption of air conditioner operation P ac，t , the power consumed by the preset uncontrollable load P L，t , Battery charging power And the battery discharge power The power balance constraint model is established based on the following formula:

[0248]

[0249] The power balance constraint model represents the balance of power supply and demand. The target purchased power P of the building where the building energy system is located in each fixed period is determined based on the following formula: grid,t :

[0250]

[0251] Among them, P grid,tThe target purchased electric power for the building where the building energy system is located in each fixed period, P IG，t is the output power of the integrated photovoltaic and thermal system in each fixed period of time, is the discharge power of the battery in each fixed period, P ac，t The power consumed by the air conditioner during each fixed period of time. is the charging power of the battery in each fixed period, P L，t The electrical power consumed by the preset uncontrollable load.

[0252] In this embodiment, the target purchased power of the building where the building energy system is located is accurately determined based on the output power of the integrated photovoltaic and thermal system, the power consumed by the operation of the air conditioner, the power consumed by the preset uncontrollable load, the charging power of the battery, the discharging power of the battery, the preset power balance constraint model, and the preset heat flow balance constraint model. The impact of variable meteorological conditions is taken into account, making the prediction of the target purchased power more accurate.

[0253] Based on the same inventive concept, the embodiment of the present application also provides a power information processing device for a building energy system corresponding to the power information processing method for a building energy system. Since the principle of solving the problem by the device in the embodiment of the present application is similar to the power information processing method for a building energy system in the embodiment of the present application, the implementation of the device can refer to the implementation of the method, and the repeated parts will not be repeated.

[0254] Fig.10 The module structure diagram of the power information processing device of the building energy system provided in the embodiment of the present application is as follows: Fig.10 As shown, the device comprises:

[0255] The acquisition module 1001 is used to obtain the ambient temperature, solar radiation intensity, the first attribute parameter of the integrated photovoltaic and thermal integration system in the building energy system, the second attribute parameter of the building virtual energy storage system in the building energy system, and the third attribute parameter of the battery in the building energy system.

[0256] The determination module 1002 is used to determine the output electric power of the integrated photovoltaic and thermal system according to the solar radiation intensity and the first attribute parameter.

[0257] The determination module 1002 is further used to determine the operating power consumption of the air conditioner in the building energy system according to the solar radiation intensity, the ambient temperature and the second attribute parameter.

[0258] The determination module 1002 is also used to determine the charging power of the battery and the discharging power of the battery based on the third attribute parameter, the output power of the integrated photovoltaic and thermal integration system, the power consumed by the air conditioner, the operating characteristic model of the battery, and the power consumed by the preset uncontrollable load.

[0259] The determination module 1002 is also used to determine the target purchased power of the building where the building energy system is located based on the output power of the integrated photovoltaic and thermal integration system, the power consumed by the air conditioner, the power consumed by the preset uncontrollable load, the charging power of the battery, and the discharging power of the battery.

[0260] As an optional implementation, the integrated photovoltaic-thermal system includes at least: a photovoltaic cell and a heat pump; the determination module 1002 is specifically used for:

[0261] The output electrical power and output thermal power of the photovoltaic cell are determined according to the solar radiation intensity and the first attribute parameter.

[0262] The output electrical power of the heat pump is determined according to the output thermal power of the photovoltaic cell and the first attribute parameter.

[0263] The difference between the output power of the photovoltaic cell and the output power of the heat pump is taken as the output power of the integrated photovoltaic-thermal system.

[0264] As an optional implementation, the first attribute parameter includes: the area of ​​the photovoltaic cell, the number of photovoltaic cells, the reference efficiency of the photovoltaic cell, the real-time temperature of the photovoltaic cell, the reference temperature of the photovoltaic cell, the reflection coefficient of the photovoltaic cell, and the temperature coefficient of the photovoltaic cell; the determination module 1002 is specifically used for:

[0265] The operation efficiency information of the photovoltaic cell is determined according to the reference efficiency of the photovoltaic cell, the real-time temperature of the photovoltaic cell, the reference temperature of the photovoltaic cell and the temperature coefficient of the photovoltaic cell.

[0266] The output electrical power of the photovoltaic cells is determined based on the operating efficiency information of the photovoltaic cells, the solar radiation intensity, the area of ​​the photovoltaic cells, and the number of photovoltaic cells.

[0267] The output thermal power of the photovoltaic cell is determined based on the operating efficiency information of the photovoltaic cell, the reflection coefficient of the photovoltaic cell, the solar radiation intensity, the area of ​​the photovoltaic cell and the number of photovoltaic cells.

[0268] As an optional implementation, the first attribute parameter also includes: specific heat capacity of water, mass flow rate of water in the pipeline, inlet temperature of the pipeline and heating efficiency of the heat pump; the determination module 1002 is specifically used for:

[0269] The output thermal power of the heat pump is determined based on the output thermal power of the photovoltaic cell, the specific heat capacity of water, the mass flow rate of water in the pipeline, the inlet temperature of the pipeline, and the outlet temperature of the pipeline.

[0270] The output electrical power of the heat pump is determined based on the output thermal power of the heat pump and the heating efficiency of the heat pump.

[0271] As an optional implementation, the determination module 1002 is specifically configured to:

[0272] The cooling capacity of the air conditioner is determined according to the solar radiation intensity, ambient temperature and the second attribute parameter.

[0273] According to the ambient temperature, the operating efficiency information of the air conditioner is determined.

[0274] The power consumption of the air conditioner is determined based on the cooling capacity of the air conditioner and the operating efficiency information of the air conditioner.

[0275] As an optional implementation, the second attribute parameter includes: air density, specific heat capacity of air, volume of the building, indoor temperature, thermal conductivity of the wall, thermal conductivity of the roof, area of ​​the wall, area of ​​the roof, area of ​​the window, flow rate of natural convection, solar radiation coefficient, indoor artificial heat density and number of floors of the building; the determination module 1002 is specifically used for:

[0276] The heat conduction of the wall is determined based on the thermal conductivity of the wall, the area of ​​the wall, the thermal conductivity of the roof, the area of ​​the roof, the ambient temperature and the indoor temperature.

[0277] The convection heat of natural ventilation is determined based on the air density, specific heat capacity of air, natural convection flow rate, ambient temperature and indoor temperature.

[0278] The solar radiation heat is determined based on the solar radiation coefficient, the area of ​​the window and the solar radiation intensity.

[0279] Determine the indoor artificial heat based on the indoor artificial heat density, the number of building floors and the area of ​​the roof.

[0280] The cooling capacity of the air conditioner is determined based on the conductive heat of the wall, the convection heat of natural ventilation, the solar radiation heat, the artificial heat in the room, the air density, the specific heat capacity of the air, the volume of the building and the indoor temperature.

[0281] As an optional implementation, the determination module 1002 is specifically configured to:

[0282] According to the third attribute parameter, an operation characteristic model of the battery is constructed, wherein the operation characteristic model of the battery includes state of charge constraint information, operation power constraint information and operation state constraint information.

[0283] The charging power and discharging power of the battery are determined based on the output power of the integrated photovoltaic and thermal system, the power consumed by the air conditioner, the operating characteristic model of the battery, and the power consumed by the preset uncontrollable load.

[0284] As an optional implementation, the third attribute parameter includes: a self-consumption coefficient of the battery, a charging efficiency of the battery, a discharging efficiency of the battery, a state of charge of the battery at the first moment, a state of charge of the battery at the second moment, a charging action function of the battery, a discharging action function of the battery, a minimum charge constraint of the battery, a maximum charge constraint of the battery, a maximum charging power of the battery, and a maximum discharging power of the battery; the determination module 1002 is specifically used for:

[0285] The state of charge constraint information of the battery is determined according to the minimum charge constraint of the battery, the maximum charge constraint of the battery, the state of charge of the battery at a first moment, and the state of charge of the battery at a second moment.

[0286] Determine the operating power constraint information of the battery and the operating state constraint information of the battery according to the charging action function of the battery, the discharging action function of the battery, the maximum charging power of the battery, and the maximum discharging power of the battery;

[0287] An operation characteristic model of the battery is constructed according to the self-consumption coefficient of the battery, the charging efficiency of the battery, the discharging efficiency of the battery, the charge state constraint information of the battery, the operating power constraint information of the battery and the operating state constraint information of the battery.

[0288] As an optional implementation manner, the determination module 1002 is specifically configured to:

[0289] The target purchased electric power of the building where the building energy system is located is determined based on the output electric power of the integrated photovoltaic and thermal integration system, the electric power consumed by the air conditioner, the electric power consumed by the preset uncontrollable load, the charging power of the battery, the discharging power of the battery, the preset power balance constraint model and the preset heat flow balance constraint model.

[0290] The present application also provides a computer device, such as Fig.11 1 is a schematic diagram of the structure of a computer device provided in an embodiment of the present application, including: a processor 111, a memory 112 and a bus 113. The memory 112 stores machine-readable instructions executable by the processor 111 (for example, Fig.10In the device, module 1001 is obtained and execution instructions corresponding to module 1002 are determined, etc.), when the computer device is running, the processor 111 communicates with the memory 112 through the bus 113, and when the machine-readable instructions are executed by the processor 111, the steps of the power information processing method of the building energy system in the above embodiment are executed.

[0291] The embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the power information processing method of the building energy system in the above embodiment are executed.

[0292] Those skilled in the art can clearly understand that, for the convenience and simplicity of description, the specific working process of the system and device described above can refer to the corresponding process in the method embodiment, and will not be repeated in this application. In the several embodiments provided in this application, it should be understood that the disclosed system, device and method can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the modules is only a logical function division. There may be other division methods in actual implementation. For example, multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interfaces, indirect coupling or communication connection of devices or modules, which can be electrical, mechanical or other forms.

[0293] In addition, each functional unit in each embodiment of the present application can be integrated into a processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment 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, RandomAccess Memory), disk or optical disk and other media that can store program code.

[0294] The above are only specific implementation methods of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be covered by the protection scope of the present application.

Claims

1. A method for processing power information of a building energy system, characterized in that: include: Acquire the ambient temperature, solar radiation intensity, a first attribute parameter of an integrated photovoltaic-thermal system in a building energy system, a second attribute parameter of a building virtual energy storage system in the building energy system, and a third attribute parameter of a storage battery in the building energy system; Determining the output electric power of the integrated photovoltaic and thermal integration system according to the solar radiation intensity and the first attribute parameter; Determining the operating power consumption of the air conditioner in the building energy system according to the solar radiation intensity, the ambient temperature and the second attribute parameter; Determine the charging power of the battery and the discharging power of the battery according to the third attribute parameter, the output power of the integrated photovoltaic and thermal system, the operating power consumption of the air conditioner, the operating characteristic model of the battery, and the power consumed by the preset uncontrollable load; The target purchased electric power of the building where the building energy system is located is determined based on the output electric power of the integrated photovoltaic and thermal integration system, the operating electric power consumed by the air conditioner, the electric power consumed by the preset uncontrollable load, the charging power of the battery and the discharging power of the battery.

2. The method according to claim 1, characterized in that The integrated photovoltaic and thermal system at least includes: a photovoltaic cell and a heat pump; Determining the output electric power of the integrated photovoltaic-thermal system according to the solar radiation intensity and the first attribute parameter includes: Determining the output electrical power and output thermal power of the photovoltaic cell according to the solar radiation intensity and the first attribute parameter; Determining the output electrical power of the heat pump according to the output thermal power of the photovoltaic cell and the first property parameter; The difference between the output electric power of the photovoltaic cell and the output electric power of the heat pump is used as the output electric power of the integrated photovoltaic-thermal system.

3. The method according to claim 2, characterized in that The first attribute parameter includes: the area of ​​the photovoltaic cell, the number of the photovoltaic cells, the reference efficiency of the photovoltaic cell, the real-time temperature of the photovoltaic cell, the reference temperature of the photovoltaic cell, the reflection coefficient of the photovoltaic cell and the temperature coefficient of the photovoltaic cell; The step of determining the output electric power and the output thermal power of the photovoltaic cell according to the solar radiation intensity and the first attribute parameter comprises: Determining the operating efficiency information of the photovoltaic cell according to the reference efficiency of the photovoltaic cell, the real-time temperature of the photovoltaic cell, the reference temperature of the photovoltaic cell, and the temperature coefficient of the photovoltaic cell; Determining the output power of the photovoltaic cell according to the operating efficiency information of the photovoltaic cell, the solar radiation intensity, the area of ​​the photovoltaic cell and the number of the photovoltaic cells; The output thermal power of the photovoltaic cell is determined according to the operation efficiency information of the photovoltaic cell, the reflection coefficient of the photovoltaic cell, the solar radiation intensity, the area of ​​the photovoltaic cell and the number of the photovoltaic cells.

4. The method according to claim 2, characterized in that: The first attribute parameter also includes: specific heat capacity of water, mass flow rate of water in the pipeline, inlet temperature of the pipeline and heating efficiency of the heat pump; The step of determining the output electrical power of the heat pump according to the output thermal power of the photovoltaic cell and the first property parameter comprises: Determining the output thermal power of the heat pump according to the output thermal power of the photovoltaic cell, the specific heat capacity of the water, the mass flow rate of the water in the pipeline, the inlet temperature of the pipeline, and the outlet temperature of the pipeline; The output electrical power of the heat pump is determined according to the output thermal power of the heat pump and the heating efficiency of the heat pump.

5. The method according to claim 1, characterized in that The step of determining the operating power consumption of the air conditioner in the building energy system according to the solar radiation intensity, the ambient temperature and the second attribute parameter includes: determining a cooling capacity of the air conditioner according to the solar radiation intensity, the ambient temperature and the second attribute parameter; Determining operating efficiency information of the air conditioner according to the ambient temperature; The power consumption of the air conditioner is determined according to the cooling capacity of the air conditioner and the operation efficiency information of the air conditioner.

6. The method according to claim 5, characterized in that The second attribute parameters include: air density, specific heat capacity of air, volume of the building, indoor temperature, thermal conductivity of the wall, thermal conductivity of the roof, area of ​​the wall, area of ​​the roof, area of ​​the window, flow rate of natural convection, solar radiation coefficient, indoor artificial heat density and number of building floors; The determining the cooling capacity of the air conditioner according to the solar radiation intensity, the ambient temperature and the second attribute parameter includes: Determining the conduction heat of the wall according to the thermal conductivity of the wall, the area of ​​the wall, the thermal conductivity of the roof, the area of ​​the roof, the ambient temperature and the indoor temperature; Determining the convection heat of natural ventilation according to the air density, the specific heat capacity of the air, the flow rate of the natural convection, the ambient temperature and the indoor temperature; Determining solar radiation heat according to the solar radiation coefficient, the area of ​​the window and the solar radiation intensity; Determining indoor artificial heat according to the indoor artificial heat density, the number of floors of the building and the area of ​​the roof; The cooling capacity of the air conditioner is determined according to the conductive heat of the wall, the convective heat of the natural ventilation, the solar radiation heat, the artificial heat in the room, the air density, the specific heat capacity of the air, the volume of the building and the indoor temperature.

7. The method according to claim 1, characterized in that The determining the charging power of the battery and the discharging power of the battery according to the third attribute parameter, the output power of the integrated photovoltaic and thermal system, the operating power consumption of the air conditioner, the operating characteristic model of the battery, and the power consumed by the preset uncontrollable load includes: constructing an operation characteristic model of the battery according to the third attribute parameter, wherein the operation characteristic model of the battery includes state of charge constraint information, operation power constraint information and operation state constraint information; The charging power of the battery and the discharging power of the battery are determined based on the output electric power of the integrated photovoltaic and thermal system, the operating power consumption of the air conditioner, the operating characteristic model of the battery and the electric power consumed by the preset uncontrollable load.

8. The method according to claim 7, characterized in that The third attribute parameter includes: the self-consumption coefficient of the battery, the charging efficiency of the battery, the discharging efficiency of the battery, the state of charge of the battery at the first moment, the state of charge of the battery at the second moment, the charging action function of the battery, the discharging action function of the battery, the minimum charge constraint of the battery, the maximum charge constraint of the battery, the maximum charging power of the battery, and the maximum discharging power of the battery; The step of constructing the operation characteristic model of the battery according to the third attribute parameter includes: Determine the state of charge constraint information of the battery according to the minimum charge constraint of the battery, the maximum charge constraint of the battery, the state of charge of the battery at the first moment, and the state of charge of the battery at the second moment; Determining the operating power constraint information of the battery and the operating state constraint information of the battery according to the charging action function of the battery, the discharging action function of the battery, the maximum charging power of the battery, and the maximum discharging power of the battery; An operating characteristic model of the battery is constructed according to the self-consumption coefficient of the battery, the charging efficiency of the battery, the discharging efficiency of the battery, the charge state constraint information of the battery, the operating power constraint information of the battery and the operating state constraint information of the battery.

9. The method according to any one of claims 1 to 8, characterized in that: The method of determining the target purchased electric power of the building where the building energy system is located according to the output electric power of the integrated photovoltaic and thermal integration system, the operating electric power consumed by the air conditioner, the electric power consumed by the preset uncontrollable load, the charging power of the battery, and the discharging power of the battery includes: The target purchased electric power of the building where the building energy system is located is determined based on the output electric power of the integrated photovoltaic and thermal integration system, the operating electric power consumed by the air conditioner, the electric power consumed by the preset uncontrollable load, the charging power of the battery, the discharging power of the battery, the preset power balance constraint model and the preset heat flow balance constraint model.

10. A computer device, characterized in that: include: A processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the computer device is running, the processor communicates with the memory via the bus, and the processor executes the machine-readable instructions to perform the steps of the power information processing method for a building energy system as described in any one of claims 1 to 9.

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