Household air conditioner energy consumption simulation method, calculation device and storage medium

Abstract

The invention provides a household air conditioner energy consumption simulation method, a calculation device and a storage medium. The simulation method comprises the following steps: constructing an environment simulation module, an enclosure structure simulation module, a resident simulation module and an air conditioner simulation module; according to the hourly outdoor temperature and the solar radiation information in the environment simulation module and the building envelope information stored in the envelope simulation module, the hourly indoor temperature is analyzed, and the hourly indoor temperature is stored in the environment simulation module; according to the information stored in the resident simulation module, a target room where a preset resident arrives is analyzed, and the start-stop state of the air conditioner simulation module in the target room is analyzed; when the air conditioner simulation module is in a starting state, calculating the energy consumption of the air conditioner simulation module; and if so, ending, and outputting the air conditioner energy consumption time sequence. The system can effectively simulate the influence of three influence factors including the external environment, the building envelope system and the behavior habits of residents and the interaction of the factors on the use process of the household air conditioner.

Description

Technical Field

[0001] The invention relates to the technical field of building energy consumption simulation, and in particular to a household air-conditioning energy consumption simulation method, a calculation device and a storage medium. Background Art

[0002] Energy shortage has attracted the attention of all countries, and energy conservation and emission reduction are urgent. With the rapid development of urbanization and the continuous improvement of people's quality of life, the number of air-conditioning equipment in residential buildings is increasing, and the resulting energy consumption is growing significantly. Accurately quantifying the energy consumption of household air conditioners is of great significance to alleviating the energy crisis and promoting the sustainable development of the construction industry.

[0003] The energy consumption of household air conditioning is affected by factors such as the external environment, the building envelope system and the behavioral habits of residents. There are complex interactions between these factors, which are difficult to estimate using traditional methods. Summary of the invention

[0004] In order to solve the above problems in the prior art, the present invention provides a household air conditioner energy consumption simulation method, comprising the following steps: S1. Construct an environmental simulation module, an envelope simulation module, an occupant simulation module and an air conditioning simulation module; the environmental simulation module includes hourly outdoor temperature information and solar radiation information; the envelope simulation module includes envelope information, such as exterior wall heat transfer coefficient, window-to-wall ratio, etc.; the air conditioning simulation module is used to simulate the air conditioning state, including the on and off states; the occupant simulation module is used to simulate the occupant's behavior, including the occupant's work and rest patterns, temperature preferences, comfortable temperature ranges, energy usage patterns, and decision-making rules when multiple occupants conflict with the control of the air conditioning simulation module.

[0005] S2. Analyze the hourly indoor temperature according to the hourly outdoor temperature and solar radiation information in the environmental simulation module and the building envelope information stored in the envelope simulation module, and store the hourly indoor temperature in the environmental simulation module.

[0006] S3. Analyze the target room to which the preset occupant arrives based on the information stored in the occupant simulation module, and analyze the start / stop status of the air-conditioning simulation module in the target room based on the comfortable temperature range, energy usage mode and hourly indoor temperature of the occupant stored in the occupant simulation module; when different preset occupants conflict with the start / stop of the air-conditioning simulation module in the target room, call the decision rule for judgment.

[0007] S4. When the air conditioning simulation module is in the on state, its energy consumption E is calculated.

[0008] S5. Determine whether the evaluation phase is completed; if completed, the process ends and outputs the air conditioning energy consumption time series; otherwise, return to step S3.

[0009] Furthermore, in S4, energy consumption E=Q / COP, where Q is the heat load and COP is the air conditioning energy efficiency ratio; the heat load Q is the heat load Q before balancing. 1 And balanced heat load Q 2 Composition, that is, Q=Q 1 +Q 2 ;Q 1 =C P pVΔT 1 , where C P is the specific heat capacity of air at constant pressure, p is the indoor density, V is the indoor volume, ΔT 1 To balance the temperature difference between the front room and the outside; for air conditioning cooling conditions, Q 2 =Q c +Q e +Q r , for air conditioning heating conditions, Q 2 =Q c +Q e -Q r , where Q c is the heat conduction load, Q e is the heat exchange load, Q r is the solar radiation load.

[0010] Furthermore, , where A i is the area of ​​the enclosure structure i, U i is the heat transfer coefficient of the enclosure structure i, ΔT 2 To balance the temperature difference between indoor and outdoor.

[0011] Furthermore, Q e =kVpC P ΔT 2 / 3.6, where k is the number of ventilation changes.

[0012] Furthermore, , where A s is the area of ​​south-facing windows, A n is the north-facing window area, I s is the hourly solar radiation to the south, I n is the hourly solar radiation to the north, R a is the heat transfer resistance of the glass outer surface, R r is the thermal resistance of the inner surface of the glass, a is the absorptivity of the glass to solar radiation, and τ is the transmittance of the glass to solar radiation.

[0013] Furthermore, the occupant simulation module includes elderly occupants, child occupants and adult occupants.

[0014] Furthermore, the decision rules include decision rule I, decision rule II and decision rule III; in decision rule I, the set temperature of the air-conditioning simulation module is determined by adult occupants; in decision rule II, the set temperature of the air-conditioning simulation module is determined by elderly occupants and child occupants; in decision rule III, the set temperature of the air-conditioning simulation module is voted on by each occupant, and when there is a tie, decision rule I is executed.

[0015] Furthermore, the energy usage mode includes energy usage mode P a , Energy usage mode P b , Energy usage mode P c and energy usage mode P d ; In energy mode P a In the energy mode P, the air conditioning simulation module remains on during the entire heating / cooling period; b In the energy mode P, the air conditioner is turned on when there are occupants in the room and turned off when everyone leaves the room. c In the energy mode P, the air conditioner is turned on when the indoor temperature exceeds the comfortable temperature range of the occupants, and is turned off when the indoor temperature reaches the comfortable range. d In this case, residents turn on the air conditioner before going to bed and turn it off after getting up.

[0016] The present invention also provides a computing device, including a processor and a memory, wherein the memory stores executable codes, and when the executable codes are executed by the processor, the processor executes the method as described above.

[0017] The present invention also provides a non-transitory machine-readable storage medium having executable codes stored thereon. When the executable codes are executed by a processor of an electronic device, the processor is caused to execute the method as described above.

[0018] The present invention can effectively simulate the influence of three types of influencing factors, namely the external environment, the building envelope system and the behavioral habits of the residents, and their interaction on the use process of household air conditioning, restore the dynamic changes of household air conditioning use through the micro-individual activities of the residents, and output the quantitative value of energy consumption, which is conducive to improving the accuracy of the simulation results of household air conditioning energy consumption, revealing the influence mechanism of various influencing factors on air conditioning energy consumption and the dynamic changes of air conditioning energy consumption during the evaluation period, and guiding the energy-saving and low-carbon practice of buildings. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0020] Figure 1 It is a schematic diagram of the process of the present invention. DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] Embodiment 1:

[0023] See also Figure 1 , this embodiment is a household air conditioning energy consumption simulation method, comprising the following steps: S1. Construct an environmental simulation module, an envelope simulation module, an occupant simulation module and an air conditioning simulation module; the environmental simulation module includes hourly outdoor temperature information and solar radiation information; the envelope simulation module includes envelope information, such as exterior wall heat transfer coefficient, window-to-wall ratio, etc.; the air conditioning simulation module is used to simulate the air conditioning state, including the on and off states; the occupant simulation module is used to simulate the occupant's behavior, including the occupant's work and rest patterns, temperature preferences, comfortable temperature ranges, energy usage patterns, and decision-making rules when multiple occupants conflict with the control of the air conditioning simulation module.

[0024] The occupant simulation module of this embodiment includes elderly occupants, child occupants and adult occupants. The temperature preference of adult occupants is set to 26°C for cooling and 18°C ​​for heating; the temperature preference of elderly occupants and child occupants is set to 27°C for cooling and 20°C for heating.

[0025] The energy usage modes of this embodiment include energy usage mode P a , Energy usage mode P b , Energy usage mode P c and energy usage mode P d ; In energy mode P a In the energy mode P, the air conditioning simulation module remains on during the entire heating / cooling period; b In the energy mode P, the air conditioner is turned on when there are occupants in the room and turned off when everyone leaves the room. c In the energy mode P, the air conditioner is turned on when the indoor temperature exceeds the comfortable temperature range of the occupants, and is turned off when the indoor temperature reaches the comfortable range. d In this case, residents turn on the air conditioner before going to bed and turn it off after getting up.

[0026] S2. Analyze the hourly indoor temperature according to the hourly outdoor temperature and solar radiation information in the environment simulation module and the building envelope information stored in the envelope simulation module, and store the hourly indoor temperature in the environment simulation module. In this embodiment, the Ecotect tool is used to analyze the hourly indoor temperature, and other methods may be used for analysis in other embodiments.

[0027] S3. Analyze the target room that the preset resident arrives at based on the information stored in the resident simulation module. When the specified time arrives, the resident moves to the target room. The resident's work and rest schedule has a certain degree of randomness, and the time point of each transition event follows a Gaussian distribution with a standard deviation of 0.25h. The resident reads the indoor temperature information sent by the environmental simulation module, compares it with the preferred temperature, and determines whether to change the state and set temperature of the air conditioning simulation module based on the energy consumption mode. When different preset residents have conflicts in starting and stopping the air conditioning simulation module in the target room, the decision rule is called for judgment.

[0028] The decision rules of this embodiment include decision rule I, decision rule II and decision rule III; in decision rule I, the set temperature of the air-conditioning simulation module is determined by adult occupants; in decision rule II, the set temperature of the air-conditioning simulation module is determined by elderly occupants and child occupants; in decision rule III, the set temperature of the air-conditioning simulation module is determined by voting of each occupant, and when a tie occurs, decision rule I is executed.

[0029] S4. When the air conditioning simulation module is turned on, calculate its energy consumption E. This embodiment uses the BIN method to calculate the air conditioning energy consumption. Energy consumption E = Q / COP, where Q is the heat load and COP is the air conditioning energy efficiency ratio; the heat load Q is the heat load Q before balancing 1 And balanced heat load Q 2 Composition, that is, Q=Q 1 +Q 2 ;Q 1 =C P pVΔT 1 , where C P is the specific heat capacity of air at constant pressure, p is the indoor density, V is the indoor volume, ΔT 1 To balance the temperature difference between the front room and the outside. For air conditioning refrigeration conditions, Q 2 =Q c +Q e +Q r , for air conditioning heating conditions, Q 2 =Q c +Q e -Q r , where Q c is the heat conduction load, Q e is the heat exchange load, Q ris the solar radiation load.

[0030] This embodiment of , where A i is the area of ​​the enclosure structure i, U i is the heat transfer coefficient of the enclosure structure i, ΔT 2 The temperature difference between indoor and outdoor after balancing. e =kVpC P ΔT 2 / 3.6, where k is the number of ventilation changes. , where A s is the area of ​​south-facing windows, A n is the north-facing window area, I s is the hourly solar radiation to the south, I n is the hourly solar radiation to the north, R a is the heat transfer resistance of the glass outer surface, R r is the thermal resistance of the inner surface of the glass, a is the absorptivity of the glass to solar radiation, and τ is the transmittance of the glass to solar radiation.

[0031] S5. Determine whether the evaluation phase is completed; if completed, the process ends and outputs the air conditioning energy consumption time series; otherwise, return to step S3.

[0032] Embodiment 2:

[0033] This embodiment is a computing device, including a processor and a memory, wherein the memory stores codes for executing the method in the above embodiment.

[0034] The processor may be a multi-core processor or may include multiple processors. In some embodiments, the processor may include a general-purpose main processor and one or more special coprocessors, such as a graphics processing unit (GPU), a digital signal processor (DSP), etc. In some embodiments, the processor may be implemented using a customized circuit, such as an application-specific integrated circuit (ASIC) or a field programmable gate array (FPGA).

[0035] The memory may include various types of storage units, such as system memory, read-only memory (ROM), and permanent storage. Among them, ROM can store static data or instructions required by the processor or other modules of the computer. The permanent storage device may be a readable and writable storage device. The permanent storage device may be a non-volatile storage device that does not lose the stored instructions and data even after the computer is powered off. In some embodiments, the permanent storage device uses a large-capacity storage device (such as a magnetic or optical disk, flash memory) as a permanent storage device. In some other embodiments, the permanent storage device may be a removable storage device (such as a floppy disk, optical drive). The system memory may be a readable and writable storage device or a volatile readable and writable storage device, such as a dynamic random access memory. The system memory may store some or all instructions and data required by the processor at run time. In addition, the memory may include any combination of computer-readable storage media, including various types of semiconductor memory chips (DRAM, SRAM, SDRAM, flash memory, programmable read-only memory), and disks and / or optical disks may also be used. In some embodiments, the memory may include a readable and / or writable removable storage device, such as a laser disc (CD), a read-only digital versatile disc (e.g., DVD-ROM, double-layer DVD-ROM), a read-only Blu-ray disc, an ultra-density optical disc, a flash memory card (e.g., SD card, mini SD card, Micro-SD card, etc.), a magnetic floppy disk, etc. The computer-readable storage medium does not include carrier waves and transient electronic signals transmitted wirelessly or wired.

[0036] The memory stores executable codes thereon, and when the executable codes are executed by the processor, the processor is enabled to execute the above method.

[0037] Embodiment 3:

[0038] This embodiment provides a non-transitory machine-readable memory having executable codes stored thereon. When the executable codes are executed by a processor of an electronic device, the processor is caused to execute the above method.

[0039] A non-temporary machine-readable memory (or computer-readable memory, or machine-readable memory) having executable code (or computer program, or computer instruction code) stored thereon, which, when executed by a processor of an electronic device (or computing device, server, etc.), enables the processor to perform the various steps of the above-mentioned method according to the present invention.

[0040] Those skilled in the art will further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the disclosure herein may be implemented as electronic hardware, computer software, or a combination of both.

[0041] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for simulating energy consumption of household air conditioners, characterized in that: The following steps are involved: S1. Construct an environment simulation module, a building envelope simulation module, a resident simulation module and an air conditioning simulation module; the environment simulation module includes hourly outdoor temperature information and solar radiation information; the building envelope simulation module includes building envelope information; the air conditioning simulation module is used to simulate the air conditioning state, including the start and stop state; the resident simulation module is used to simulate the resident's behavior, including the resident's work and rest pattern, temperature preference, comfortable temperature range, energy consumption mode and decision rules when multiple residents conflict with the control of the air conditioning simulation module; S2, analyzing the hourly indoor temperature according to the hourly outdoor temperature and solar radiation information in the environment simulation module and the building envelope structure information stored in the envelope structure simulation module, and storing the hourly indoor temperature in the environment simulation module; S3, analyzing the target room to which the preset occupant arrives based on the information stored in the occupant simulation module, and analyzing the start / stop state of the air conditioning simulation module in the target room based on the comfortable temperature range, energy consumption mode and hourly indoor temperature of the occupant stored in the occupant simulation module; when different preset occupants have conflicts in starting and stopping the air conditioning simulation module in the target room, calling the decision rule for judgment; S4. When the air conditioning simulation module is in the on state, calculate its energy consumption E; S5. Determine whether the evaluation phase is completed; if completed, the process ends and outputs the air conditioning energy consumption time series; otherwise, return to step S3.

2. The household air conditioning energy consumption simulation method according to claim 1, characterized in that: Energy consumption in S4 is E=Q / COP, where Q is heat load and COP is air conditioning energy efficiency ratio; heat load Q is composed of heat load Q1 before balance and heat load Q2 after balance, that is, Q=Q1+Q2; Q1=C P pVΔT1, where C P is the specific heat capacity of air at constant pressure, p is the indoor density, V is the indoor volume, ΔT1 is the indoor and outdoor temperature difference before equilibrium; for air conditioning refrigeration conditions, Q2=Q c +Q e +Q r , for air conditioning heating conditions, Q2=Q c +Q e -Q r , where Q c is the heat conduction load, Q e is the heat exchange load, Q r is the solar radiation load.

3. The household air conditioning energy consumption simulation method according to claim 2, characterized in that: , where A i is the area of ​​the enclosure structure i, U i is the heat transfer coefficient of the enclosure structure i, and ΔT2 is the indoor and outdoor temperature difference after equilibrium.

4. The household air conditioning energy consumption simulation method according to claim 2, characterized in that: Q e =kVpC P ΔT2 / 3.6, where k is the number of ventilation changes.

5. The household air conditioning energy consumption simulation method according to claim 2, characterized in that: , where A s is the area of ​​south-facing windows, A n is the north-facing window area, I s is the hourly solar radiation to the south, I n is the hourly solar radiation to the north, R a is the heat transfer resistance of the glass outer surface, R r is the thermal resistance of the inner surface of the glass, a is the absorptivity of the glass to solar radiation, and τ is the transmittance of the glass to solar radiation.

6. The household air conditioning energy consumption simulation method according to claim 1, characterized in that: The occupant simulation module includes elderly occupants, child occupants and adult occupants.

7. The household air conditioning energy consumption simulation method according to claim 6, characterized in that: The decision rules include decision rule I, decision rule II and decision rule III; in decision rule I, the set temperature of the air conditioning simulation module is determined by the adult occupant; In decision rule II, the set temperature of the air conditioning simulation module is determined by the elderly occupants and the child occupants; In decision rule III, the set temperature of the air conditioning simulation module is voted on by each occupant. When there is a tie, decision rule I is executed.

8. The household air conditioning energy consumption simulation method according to claim 1, characterized in that: The energy usage mode includes energy usage mode P a , Energy usage mode P b , Energy usage mode P c and energy usage mode P d ; In energy mode P a In the energy mode P, the air conditioning simulation module remains on during the entire heating / cooling period; b In the energy mode P, the air conditioner is turned on when there are occupants in the room and turned off when everyone leaves the room. c In the energy mode P, the air conditioner is turned on when the indoor temperature exceeds the comfortable temperature range of the occupants, and is turned off when the indoor temperature reaches the comfortable range. d In this case, residents turn on the air conditioner before going to bed and turn it off after getting up.

9. A computing device, characterized in that: The method comprises a processor and a memory, wherein the memory stores executable codes, and when the executable codes are executed by the processor, the processor executes the method according to any one of claims 1 to 8.

10. A non-transitory machine-readable storage medium, characterized in that: An executable code is stored thereon, and when the executable code is executed by a processor of an electronic device, the processor is caused to execute any one of the methods described in claims 1-8.

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