CN110925943B - Control method, device and equipment of air source heat pump unit and storage medium - Google Patents
Control method, device and equipment of air source heat pump unit and storage medium Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 58
- 238000013486 operation strategy Methods 0.000 claims abstract description 47
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 52
- 230000017525 heat dissipation Effects 0.000 claims description 29
- 238000004364 calculation method Methods 0.000 claims description 27
- 238000004590 computer program Methods 0.000 claims description 16
- 238000012545 processing Methods 0.000 claims description 13
- 230000005611 electricity Effects 0.000 claims description 12
- 238000012937 correction Methods 0.000 claims description 3
- 230000000694 effects Effects 0.000 abstract description 15
- 238000004321 preservation Methods 0.000 abstract description 15
- 238000010586 diagram Methods 0.000 description 6
- 238000010438 heat treatment Methods 0.000 description 5
- 239000004566 building material Substances 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 239000000463 material Substances 0.000 description 3
- 238000005265 energy consumption Methods 0.000 description 2
- 239000012530 fluid Substances 0.000 description 2
- 238000013021 overheating Methods 0.000 description 2
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
- F24D3/00—Hot-water central heating systems
- F24D3/18—Hot-water central heating systems using heat pumps
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
- F24F11/80—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air
- F24F11/83—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air by controlling the supply of heat-exchange fluids to heat-exchangers
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
- F24F11/80—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air
- F24F11/86—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air by controlling compressors within refrigeration or heat pump circuits
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/88—Electrical aspects, e.g. circuits
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
- F24F2110/12—Temperature of the outside air
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2130/00—Control inputs relating to environmental factors not covered by group F24F2110/00
- F24F2130/10—Weather information or forecasts
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Abstract
The application relates to a control method, a control device, control equipment and a storage medium of an air source heat pump unit, wherein the method comprises the following steps: acquiring expected temperature, network prediction outdoor meteorological data and a building thermal inertia coefficient obtained by pre-calculating an air source heat pump unit according to preset unit parameters, the network prediction outdoor meteorological data and indoor temperature; obtaining an operation strategy of the air source heat pump unit according to the expected temperature, the network prediction outdoor meteorological data and the building thermal inertia coefficient; and adjusting the operation state of the air source heat pump unit according to the operation strategy. Based on the method, the building thermal inertia coefficient, namely the heat preservation effect of the building is considered according to the operation strategy obtained by predicting the outdoor meteorological data and the building thermal inertia coefficient according to the expected temperature and the network, the optimal operation strategy can be given according to different heat preservation effects of different buildings when the control unit operates, and the energy loss is effectively reduced.
Description
Technical Field
The application relates to the technical field of air conditioners, in particular to a control method, a control device, control equipment and a storage medium for an air source heat pump unit.
Background
Along with the popularization of the air source heat pump unit, the energy consumption of the unit is more and more concerned by users, at present, the air source heat pump unit generally adopts water temperature as a control target in the operation process, when the water temperature reaches a desired value, heating is stopped, and when the water temperature is lower than the desired temperature, heating is carried out.
However, the building in which the air source heat pump unit is installed at present has different building materials and different heat preservation effects, and if the water temperature is taken as a control target, the temperature in the building may not meet the requirements of users for the building with poor heat preservation effect, and for the building with good heat preservation effect, when the water temperature reaches the expected temperature, the situation of overheating inside of the building may occur, so that the heat supply amount may be insufficient or excessive by taking the water temperature as the control target of the current unit, and the power consumption of the unit is high.
Disclosure of Invention
In order to overcome the problems in the related art at least to a certain extent, the application provides a control method, a control device, control equipment and a storage medium of an air source heat pump unit.
According to a first aspect of the application, a control method of an air source heat pump unit is provided, which comprises the following steps:
acquiring expected temperature, network prediction outdoor meteorological data and a building thermal inertia coefficient which is obtained by the air source heat pump unit through pre-calculation according to preset unit parameters, the network prediction outdoor meteorological data and indoor temperature;
obtaining an operation strategy of the air source heat pump unit according to the expected temperature, the network prediction outdoor meteorological data and the building thermal inertia coefficient;
and adjusting the operation state of the air source heat pump unit according to the operation strategy.
Optionally, the method further includes:
acquiring actual outdoor meteorological data;
and correcting the running state of the air source heat pump unit according to the difference of the actual outdoor meteorological data in the network prediction outdoor meteorological data.
Optionally, the preset unit parameters include a compressor frequency, a unit inlet water temperature, and a unit outlet water temperature; the network predicting outdoor meteorological data comprises predicting outdoor ambient temperature;
the air source heat pump unit calculates in advance according to preset unit parameters, network prediction outdoor meteorological data and indoor temperature to obtain the thermal inertia coefficient of the building, and the method comprises the following steps:
calculating the unit heat supply of the air source heat pump unit within a preset time period according to the compressor frequency, the unit inlet water temperature, the unit outlet water temperature and the predicted outdoor environment temperature; the heat supply of the unit in the preset time period is equal to the heat dissipation of the building;
calculating to obtain a building enclosure comprehensive coefficient according to the heat supply quantity of the unit, the predicted outdoor temperature and the indoor temperature, wherein the building heat dissipation quantity is related to the building enclosure comprehensive coefficient, the indoor temperature and the predicted outdoor temperature;
and obtaining the thermal inertia coefficient of the building according to the heat dissipation capacity of the building.
Optionally, the method further includes:
acquiring peak-valley power information of a power supply grid;
and adjusting the operation strategy according to the peak-valley electricity information.
According to a second aspect of the present application, there is provided a control apparatus for an air source heat pump unit, comprising:
the first acquisition module is used for acquiring expected temperature, network prediction outdoor meteorological data and a building thermal inertia coefficient which is obtained by the air source heat pump unit through pre-calculation according to preset unit parameters, the network prediction outdoor meteorological data and indoor temperature;
the processing module is used for obtaining an operation strategy of the air source heat pump unit according to the expected temperature, the network prediction outdoor meteorological data and the building thermal inertia coefficient;
and the adjusting module is used for adjusting the operation state of the air source heat pump unit according to the operation strategy.
Optionally, the method further includes:
the second acquisition module is used for acquiring actual outdoor meteorological data;
and the correction module is used for correcting the running state of the air source heat pump unit according to the difference of the actual outdoor meteorological data in the network prediction outdoor meteorological data.
Optionally, the preset unit parameters include a compressor frequency, a unit inlet water temperature, and a unit outlet water temperature; the network predicting outdoor meteorological data comprises predicting outdoor ambient temperature;
the system also comprises a thermal inertia coefficient calculation module, a building thermal inertia coefficient calculation module and a building temperature prediction module, wherein the thermal inertia coefficient calculation module is used for calculating in advance according to preset unit parameters, network prediction outdoor meteorological data and indoor temperature to obtain the building thermal inertia coefficient;
the thermal inertia coefficient calculation module includes:
the first processing unit is used for calculating the unit heat supply of the air source heat pump unit within a preset time period according to the compressor frequency, the unit inlet water temperature, the unit outlet water temperature and the predicted outdoor environment temperature; the heat supply of the unit in the preset time period is equal to the heat dissipation of the building;
the second processing unit is used for calculating and obtaining a building envelope comprehensive coefficient according to the heat supply quantity of the unit, the predicted outdoor temperature and the indoor temperature, and the building heat dissipation quantity is related to the building envelope comprehensive coefficient, the indoor temperature and the predicted outdoor temperature;
and the third processing unit is used for obtaining the thermal inertia coefficient of the building according to the heat dissipation capacity of the building.
Optionally, the method further includes:
the third acquisition module is used for acquiring peak-valley power information of a power supply grid;
and the operation strategy adjusting module is used for adjusting the operation strategy according to the peak-valley electricity information.
According to a third aspect of the present application, there is provided a control apparatus for an air source heat pump unit, comprising:
a processor, and a memory coupled to the processor;
the memory is used for storing a computer program, and the computer program is at least used for executing the control method of the air source heat pump unit in the first aspect of the application;
the processor is used for calling and executing the computer program in the memory.
According to a fourth aspect of the present application, a storage medium is provided, wherein the storage medium stores a computer program, and when the computer program is executed by a processor, the computer program realizes the steps of the control method of the air source heat pump unit according to the first aspect of the present application.
The technical scheme provided by the application can comprise the following beneficial effects: firstly, acquiring expected temperature, network prediction outdoor meteorological data and a building thermal inertia coefficient which is obtained by the air source heat pump unit through pre-calculation according to preset unit parameters, the network prediction outdoor meteorological data and indoor temperature; then, obtaining an operation strategy of the air source heat pump unit according to the expected temperature, the network prediction outdoor meteorological data and the building thermal inertia coefficient; and finally, adjusting the operation state of the air source heat pump unit according to the operation strategy. Based on the method, the building thermal inertia coefficient, namely the heat preservation effect of the building is considered according to the operation strategy obtained by predicting the outdoor meteorological data and the building thermal inertia coefficient according to the expected temperature and the network, the optimal operation strategy can be given according to different heat preservation effects of different buildings when the control unit operates, and the energy loss is effectively reduced.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.
Fig. 1 is a schematic flow chart of a control method of an air source heat pump unit according to a first embodiment of the present application.
Fig. 2 is a schematic flow chart illustrating a method for controlling an air source heat pump unit to correct an operation state according to a first embodiment of the present application.
Fig. 3 is a schematic flow chart illustrating building thermal inertia calculation in a control method of an air source heat pump unit according to an embodiment of the present application.
Fig. 4 is a schematic flow chart illustrating adjusting an operation strategy according to peak-to-valley power in a control method of an air source heat pump unit according to an embodiment of the present application.
Fig. 5 is a schematic structural diagram of a control device of an air source heat pump unit according to a second embodiment of the present application.
Fig. 6 is a schematic structural diagram of a control device of an air source heat pump unit according to a third embodiment of the present application.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
Along with the popularization of the air source heat pump unit, the energy consumption of the unit is more and more concerned by users, at present, the air source heat pump unit generally adopts water temperature as a control target in the operation process, when the water temperature reaches a desired value, heating is stopped, and when the water temperature is lower than the desired temperature, heating is carried out.
However, the building in which the air source heat pump unit is installed at present has different building materials and different heat preservation effects, and if the water temperature is taken as a control target, the temperature in the building may not meet the requirements of users for the building with poor heat preservation effect, and for the building with good heat preservation effect, when the water temperature reaches the expected temperature, the situation of overheating inside of the building may occur, so that the heat supply amount may be insufficient or excessive by taking the water temperature as the control target of the current unit, and the power consumption of the unit is high.
In order to solve the above technical problems, the present application provides a control method, device, apparatus and storage medium for an air source heat pump unit, and the following description is provided by way of example.
Example one
Referring to fig. 1, fig. 1 is a schematic flow chart illustrating a control method of an air source heat pump unit according to an embodiment of the present application.
As shown in fig. 1, the control method of the air source heat pump unit provided in this embodiment may include:
s101, obtaining expected temperature, network prediction outdoor meteorological data and a building thermal inertia coefficient which is obtained by the air source heat pump unit through pre-calculation according to preset unit parameters, the network prediction outdoor meteorological data and indoor temperature.
It should be noted that the desired temperature is a temperature value at which the temperature inside the building is desired to be maintained, and the network predicted outdoor weather data is predicted data obtained from the internet, which may include outdoor ambient temperature, outdoor ambient humidity, solar radiation amount, and the like.
In addition, the thermal inertia coefficient of the building can reflect the internal and external heat dissipation strength of the building, namely the heat preservation effect of the building, and is generally related to factors such as building materials, the number of doors and windows, door and window materials and the like, and when the building is built, the thermal inertia coefficient of the building is certain.
And S102, obtaining an operation strategy of the air source heat pump unit according to the expected temperature, the network prediction outdoor meteorological data and the building thermal inertia coefficient.
Specifically, the operation strategy may include the start-up time and the shut-down time of the air source heat pump unit, the operation frequency of the compressor therein, and the like. When the air source heat pump unit is controlled, the indoor temperature can be raised to a temperature value higher than the expected temperature, and due to the fact that the building thermal inertia coefficient is obtained, the time required for the indoor temperature to be reduced from the temperature value to the expected temperature under the condition of the current network prediction outdoor meteorological data can be known, the time is also the shutdown time of the air source heat pump unit after the temperature is raised, and the network prediction outdoor meteorological data are usually a long time, so that the outdoor meteorological data and the building thermal inertia coefficient predicted at all times can be arranged in the time, and the starting time and the shutdown time of the air source heat pump unit are distributed.
It should be noted that, when the outdoor weather data predicted by the network cannot be obtained, the prediction may be performed by using data measured by sensors in the unit or according to historical data.
And S103, adjusting the operation state of the air source heat pump unit according to the operation strategy.
Firstly, acquiring expected temperature, network prediction outdoor meteorological data and a building thermal inertia coefficient which is obtained by the air source heat pump unit through pre-calculation according to preset unit parameters, the network prediction outdoor meteorological data and indoor temperature; then, obtaining an operation strategy of the air source heat pump unit according to the expected temperature, the network prediction outdoor meteorological data and the building thermal inertia coefficient; and finally, adjusting the operation state of the air source heat pump unit according to the operation strategy. Based on the method, the building thermal inertia coefficient, namely the heat preservation effect of the building is considered according to the operation strategy obtained by predicting the outdoor meteorological data and the building thermal inertia coefficient according to the expected temperature and the network, the optimal operation strategy can be given according to different heat preservation effects of different buildings when the control unit operates, and the energy loss is effectively reduced.
In order to improve the accuracy of the control method, the operation state of the air source heat pump unit may be corrected according to actual outdoor meteorological data, specifically referring to fig. 2, where fig. 2 is a schematic flow diagram of the control method of the air source heat pump unit for correcting the operation state according to the embodiment of the present application.
As shown in fig. 2, the modify operating conditions process may include:
step S201, acquiring actual outdoor meteorological data;
and S202, correcting the running state of the air source heat pump unit according to the difference of the actual outdoor meteorological data in the network prediction outdoor meteorological data.
In addition, it should be noted that, reference may be made to fig. 3 for calculating the building thermal inertia coefficient, and fig. 3 is a schematic flow chart of building thermal inertia calculation in a control method of an air source heat pump unit according to an embodiment of the present application.
First, it should be noted that the air source heat pump unit in this embodiment is not limited to a split type air source heat pump unit, and may also be an air source heat pump unit as a whole, meanwhile, the heat exchange fluid in the unit may be water or a refrigerant, and the framework in the unit may be a multi-connected unit, an air source heat pump water machine, or an air source heat pump air heater. When the heat exchange fluid or the framework is different, the preset unit parameters are also different, for example, when the multi-split air conditioner or the hot air blower is used, the preset unit parameters can relate to the air outlet temperature or the air return temperature, and the specific preset unit parameters need to be determined according to the type of the specific unit. In this embodiment, an air source heat pump water machine is taken as an example for explanation, and then, the preset unit parameters may include a compressor frequency, a unit inlet water temperature, and a unit outlet water temperature; the network predicting outdoor weather data includes predicting outdoor ambient temperature.
As shown in fig. 3, the process of calculating the thermal inertia of the building may include:
step S301, calculating the unit heat supply of the air source heat pump unit within a preset time period according to the compressor frequency, the unit inlet water temperature, the unit outlet water temperature and the predicted outdoor environment temperature; the heat supply of the unit in the preset time period is equal to the heat dissipation of the building;
step S302, calculating to obtain a building envelope comprehensive coefficient according to the heat supply of the unit, the predicted outdoor temperature and the indoor temperature, wherein the building heat dissipation is related to the building envelope comprehensive coefficient, the indoor temperature and the predicted outdoor temperature;
and S303, obtaining the thermal inertia coefficient of the building according to the heat dissipation capacity of the building.
Specifically, the preset time period may be a certain time period at night, and the indoor temperature of the time period is relatively constant. In addition, the unit heat supply quantity is related to the frequency of the compressor, the unit inlet water temperature, the unit outlet water temperature and the predicted outdoor environment temperature, so that the calculation formula is different for different units and different compressors.
After the heat supply of the unit is calculated, due to the particularity of the time period, the heat supply of the unit and the heat dissipation of the building keep a balanced relation, namely equal, and the heat dissipation of the building is related to the comprehensive coefficient of the building envelope, the indoor temperature and the predicted outdoor temperature, so that the comprehensive coefficient of the building envelope can be obtained according to the related characteristics.
And because the building heat dissipation capacity and the building thermal inertia also have a balance relation, the value of the building heat dissipation capacity is the value of the building thermal inertia, and the building thermal inertia coefficient is the relation between the building thermal inertia and the building thermal inertia coefficientThe thermal inertia coefficient of the building can be obtained by referring to the formula Qx2＝f(C，Tn_max，Tn_min) Wherein Q isx2Representing the thermal inertia of the building, C representing the thermal inertia coefficient of the building, Tn_maxRepresenting the maximum value of the room temperature, Tn_minIndicating a minimum indoor temperature.
It should be noted that, the data required in the calculation process is obtained from the preset time period.
After the distribution of the startup time and the shutdown time is obtained, the distribution of the startup time and the shutdown time may be adjusted according to the peak-valley power of the power grid, specifically, refer to fig. 4, where fig. 4 is a schematic flow diagram of adjusting the operation strategy according to the peak-valley power in the control method of the air source heat pump unit provided in the embodiment of the present application.
As shown in fig. 4, the process of adjusting the operation strategy according to peak-to-valley power may include:
s401, obtaining peak-valley power information of a power supply grid;
and S402, adjusting the operation strategy according to the peak-valley electricity information.
Specifically, peak-to-valley electricity information of the power supply grid can be acquired from announcements in the internet or can be manually input. When the shutdown time meets the electricity utilization peak value, the shutdown time can be properly prolonged, or the indoor temperature is increased again before the electricity utilization peak value so as to avoid the electricity utilization peak value.
It should be noted that the air source heat pump unit can be, but is not limited to, a split air source heat pump unit or an integrated air source heat pump unit. The temperature sensing bulb for measuring the water inlet temperature and the water outlet temperature of the unit can be arranged in the unit or can be arranged in a water system of the unit, but the installation position of the temperature sensing bulb needs to be close to the unit. The hardware for acquiring the data may be, but not limited to, a communication mode such as GPRS or WIFI, and for the data, a wired connection mode may be used when the sensor data is received, or the data may be acquired wirelessly. The tail end of the air source heat pump unit can be a radiator, and can also be a floor heating unit or a fan coil.
Example two
Referring to fig. 5, fig. 5 is a schematic structural diagram of a control device of an air source heat pump unit according to a second embodiment of the present application.
As shown in fig. 5, the control device of the air source heat pump unit provided in this embodiment may include:
the first obtaining module 51 is configured to obtain the expected temperature, the network predicted outdoor meteorological data, and a building thermal inertia coefficient which is obtained by the air source heat pump unit through pre-calculation according to preset unit parameters, the network predicted outdoor meteorological data, and the indoor temperature;
the processing module 52 is configured to obtain an operation strategy of the air source heat pump unit according to the expected temperature, the network predicted outdoor meteorological data, and the building thermal inertia coefficient;
and the adjusting module 53 is used for adjusting the operation state of the air source heat pump unit according to the operation strategy.
Firstly, acquiring expected temperature, network prediction outdoor meteorological data and a building thermal inertia coefficient which is obtained by the air source heat pump unit through pre-calculation according to preset unit parameters, the network prediction outdoor meteorological data and indoor temperature; then, obtaining an operation strategy of the air source heat pump unit according to the expected temperature, the network prediction outdoor meteorological data and the building thermal inertia coefficient; and finally, adjusting the operation state of the air source heat pump unit according to the operation strategy. Based on the method, the building thermal inertia coefficient, namely the heat preservation effect of the building is considered according to the operation strategy obtained by predicting the outdoor meteorological data and the building thermal inertia coefficient according to the expected temperature and the network, the optimal operation strategy can be given according to different heat preservation effects of different buildings when the control unit operates, and the energy loss is effectively reduced.
Further, still include:
the second acquisition module is used for acquiring actual outdoor meteorological data;
and the correction module is used for correcting the running state of the air source heat pump unit according to the difference of the actual outdoor meteorological data in the network prediction outdoor meteorological data.
Further, the preset unit parameters comprise compressor frequency, unit inlet water temperature and unit outlet water temperature; the network predicting outdoor meteorological data comprises predicting outdoor ambient temperature;
the system also comprises a thermal inertia coefficient calculation module, a building thermal inertia coefficient calculation module and a building temperature prediction module, wherein the thermal inertia coefficient calculation module is used for calculating in advance according to preset unit parameters, network prediction outdoor meteorological data and indoor temperature to obtain the building thermal inertia coefficient;
the thermal inertia coefficient calculation module includes:
the first processing unit is used for calculating the unit heat supply of the air source heat pump unit within a preset time period according to the compressor frequency, the unit inlet water temperature, the unit outlet water temperature and the predicted outdoor environment temperature; the heat supply of the unit in the preset time period is equal to the heat dissipation of the building;
the second processing unit is used for calculating and obtaining a building envelope comprehensive coefficient according to the heat supply quantity of the unit, the predicted outdoor temperature and the indoor temperature, and the building heat dissipation quantity is related to the building envelope comprehensive coefficient, the indoor temperature and the predicted outdoor temperature;
and the third processing unit is used for obtaining the thermal inertia coefficient of the building according to the heat dissipation capacity of the building.
Further, still include:
the third acquisition module is used for acquiring peak-valley power information of a power supply grid;
and the operation strategy adjusting module is used for adjusting the operation strategy according to the peak-valley electricity information.
EXAMPLE III
Referring to fig. 6, fig. 6 is a schematic structural diagram of a control device of an air source heat pump unit according to a third embodiment of the present application.
As shown in fig. 6, the control device of the air source heat pump unit provided in this embodiment may include:
a processor 61, and a memory 62 connected to the processor;
the memory is used for storing a computer program, and the computer program is at least used for executing the following control method of the air source heat pump unit:
acquiring expected temperature, network prediction outdoor meteorological data and a building thermal inertia coefficient which is obtained by the air source heat pump unit through pre-calculation according to preset unit parameters, the network prediction outdoor meteorological data and indoor temperature;
obtaining an operation strategy of the air source heat pump unit according to the expected temperature, the network prediction outdoor meteorological data and the building thermal inertia coefficient;
and adjusting the operation state of the air source heat pump unit according to the operation strategy.
Optionally, the method further includes:
acquiring actual outdoor meteorological data;
and correcting the running state of the air source heat pump unit according to the difference of the actual outdoor meteorological data in the network prediction outdoor meteorological data.
Optionally, the preset unit parameters include a compressor frequency, a unit inlet water temperature, and a unit outlet water temperature; the network predicting outdoor meteorological data comprises predicting outdoor ambient temperature;
the air source heat pump unit calculates in advance according to preset unit parameters, network prediction outdoor meteorological data and indoor temperature to obtain the thermal inertia coefficient of the building, and the method comprises the following steps:
calculating the unit heat supply of the air source heat pump unit within a preset time period according to the compressor frequency, the unit inlet water temperature, the unit outlet water temperature and the predicted outdoor environment temperature; the heat supply of the unit in the preset time period is equal to the heat dissipation of the building;
calculating to obtain a building enclosure comprehensive coefficient according to the heat supply quantity of the unit, the predicted outdoor temperature and the indoor temperature, wherein the building heat dissipation quantity is related to the building enclosure comprehensive coefficient, the indoor temperature and the predicted outdoor temperature;
and obtaining the thermal inertia coefficient of the building according to the heat dissipation capacity of the building.
Optionally, the method further includes:
acquiring peak-valley power information of a power supply grid;
and adjusting the operation strategy according to the peak-valley electricity information.
The processor is used for calling and executing the computer program in the memory.
In addition, the present application further provides a storage medium, where a computer program is stored, and when the computer program is executed by a processor, the following steps in the control method of the air source heat pump unit are implemented:
acquiring expected temperature, network prediction outdoor meteorological data and a building thermal inertia coefficient which is obtained by the air source heat pump unit through pre-calculation according to preset unit parameters, the network prediction outdoor meteorological data and indoor temperature;
obtaining an operation strategy of the air source heat pump unit according to the expected temperature, the network prediction outdoor meteorological data and the building thermal inertia coefficient;
and adjusting the operation state of the air source heat pump unit according to the operation strategy.
Optionally, the method further includes:
acquiring actual outdoor meteorological data;
and correcting the running state of the air source heat pump unit according to the difference of the actual outdoor meteorological data in the network prediction outdoor meteorological data.
Optionally, the preset unit parameters include a compressor frequency, a unit inlet water temperature, and a unit outlet water temperature; the network predicting outdoor meteorological data comprises predicting outdoor ambient temperature;
the air source heat pump unit calculates in advance according to preset unit parameters, network prediction outdoor meteorological data and indoor temperature to obtain the thermal inertia coefficient of the building, and the method comprises the following steps:
calculating the unit heat supply of the air source heat pump unit within a preset time period according to the compressor frequency, the unit inlet water temperature, the unit outlet water temperature and the predicted outdoor environment temperature; the heat supply of the unit in the preset time period is equal to the heat dissipation of the building;
calculating to obtain a building enclosure comprehensive coefficient according to the heat supply quantity of the unit, the predicted outdoor temperature and the indoor temperature, wherein the building heat dissipation quantity is related to the building enclosure comprehensive coefficient, the indoor temperature and the predicted outdoor temperature;
and obtaining the thermal inertia coefficient of the building according to the heat dissipation capacity of the building.
Optionally, the method further includes:
acquiring peak-valley power information of a power supply grid;
and adjusting the operation strategy according to the peak-valley electricity information.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
It is understood that the same or similar parts in the above embodiments may be mutually referred to, and the same or similar parts in other embodiments may be referred to for the content which is not described in detail in some embodiments.
It should be noted that, in the description of the present application, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Further, in the description of the present application, the meaning of "a plurality" means at least two unless otherwise specified.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and the scope of the preferred embodiments of the present application includes other implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present application.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.
Claims (8)
1. A control method of an air source heat pump unit is characterized by comprising the following steps:
acquiring expected temperature, network prediction outdoor meteorological data and a building thermal inertia coefficient which is obtained by the air source heat pump unit through pre-calculation according to preset unit parameters, the network prediction outdoor meteorological data and indoor temperature;
obtaining an operation strategy of the air source heat pump unit according to the expected temperature, the network prediction outdoor meteorological data and the building thermal inertia coefficient;
adjusting the operation state of the air source heat pump unit according to the operation strategy;
the preset unit parameters comprise compressor frequency, unit inlet water temperature and unit outlet water temperature; the network predicting outdoor meteorological data comprises predicting outdoor ambient temperature;
the air source heat pump unit calculates in advance according to preset unit parameters, network prediction outdoor meteorological data and indoor temperature to obtain the thermal inertia coefficient of the building, and the method comprises the following steps:
calculating the unit heat supply of the air source heat pump unit within a preset time period according to the compressor frequency, the unit inlet water temperature, the unit outlet water temperature and the predicted outdoor environment temperature; the heat supply of the unit in the preset time period is equal to the heat dissipation of the building;
calculating to obtain a building enclosure comprehensive coefficient according to the heat supply quantity of the unit, the predicted outdoor temperature and the indoor temperature, wherein the building heat dissipation quantity is related to the building enclosure comprehensive coefficient, the indoor temperature and the predicted outdoor temperature;
and obtaining the thermal inertia coefficient of the building according to the heat dissipation capacity of the building.
2. The control method of the air source heat pump unit according to claim 1, characterized by further comprising:
acquiring actual outdoor meteorological data;
and correcting the running state of the air source heat pump unit according to the difference of the actual outdoor meteorological data in the network prediction outdoor meteorological data.
3. The control method of the air source heat pump unit according to claim 1, characterized by further comprising:
acquiring peak-valley power information of a power supply grid;
and adjusting the operation strategy according to the peak-valley electricity information.
4. A control device of an air source heat pump unit is characterized by comprising:
the first acquisition module is used for acquiring expected temperature, network prediction outdoor meteorological data and a building thermal inertia coefficient which is obtained by the air source heat pump unit through pre-calculation according to preset unit parameters, the network prediction outdoor meteorological data and indoor temperature;
the processing module is used for obtaining an operation strategy of the air source heat pump unit according to the expected temperature, the network prediction outdoor meteorological data and the building thermal inertia coefficient;
the adjusting module is used for adjusting the operation state of the air source heat pump unit according to the operation strategy;
the preset unit parameters comprise compressor frequency, unit inlet water temperature and unit outlet water temperature; the network predicting outdoor meteorological data comprises predicting outdoor ambient temperature;
the system also comprises a thermal inertia coefficient calculation module, a building thermal inertia coefficient calculation module and a building temperature prediction module, wherein the thermal inertia coefficient calculation module is used for calculating in advance according to preset unit parameters, network prediction outdoor meteorological data and indoor temperature to obtain the building thermal inertia coefficient;
the thermal inertia coefficient calculation module includes:
the first processing unit is used for calculating the unit heat supply of the air source heat pump unit within a preset time period according to the compressor frequency, the unit inlet water temperature, the unit outlet water temperature and the predicted outdoor environment temperature; the heat supply of the unit in the preset time period is equal to the heat dissipation of the building;
the second processing unit is used for calculating and obtaining a building envelope comprehensive coefficient according to the heat supply quantity of the unit, the predicted outdoor temperature and the indoor temperature, and the building heat dissipation quantity is related to the building envelope comprehensive coefficient, the indoor temperature and the predicted outdoor temperature;
and the third processing unit is used for obtaining the thermal inertia coefficient of the building according to the heat dissipation capacity of the building.
5. The control device of the air source heat pump unit according to claim 4, characterized by further comprising:
the second acquisition module is used for acquiring actual outdoor meteorological data;
and the correction module is used for correcting the running state of the air source heat pump unit according to the difference of the actual outdoor meteorological data in the network prediction outdoor meteorological data.
6. The control device of the air source heat pump unit according to claim 4, characterized by further comprising:
the third acquisition module is used for acquiring peak-valley power information of a power supply grid;
and the operation strategy adjusting module is used for adjusting the operation strategy according to the peak-valley electricity information.
7. A control device of an air source heat pump unit is characterized by comprising:
a processor, and a memory coupled to the processor;
the memory is used for storing a computer program, and the computer program is at least used for executing the control method of the air source heat pump unit in any one of claims 1-3;
the processor is used for calling and executing the computer program in the memory.
8. A storage medium, characterized in that the storage medium stores a computer program, and the computer program is executed by a processor to realize each step in the control method of the air source heat pump unit according to any one of claims 1 to 3.
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| DE102020206825A1 (en) | 2020-06-02 | 2021-12-02 | Robert Bosch Gesellschaft mit beschränkter Haftung | Heat pump |
| CN112862181B (en) * | 2021-02-04 | 2023-08-25 | 珠海格力电器股份有限公司 | Heating unit energy-saving operation control system and method based on block chain |
| GB202101678D0 (en) * | 2021-02-07 | 2021-03-24 | Octopus Energy Ltd | Methods and systems and apparatus to support reduced energy and water usage |
| CN114704932A (en) * | 2021-12-14 | 2022-07-05 | 珠海格力电器股份有限公司 | Water temperature control method of heat pump cold and hot water system and heat pump cold and hot water system |
| CN114576797B (en) * | 2022-03-28 | 2023-04-11 | 珠海格力电器股份有限公司 | Control method of air conditioner and air conditioner |
| EP4443067A1 (en) * | 2023-04-06 | 2024-10-09 | Daikin Europe N.V. | Air conditioner and method of controlling an air conditioner |
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| AT505216B1 (en) * | 2007-04-30 | 2011-06-15 | Vaillant Group Austria Gmbh | OPERATING ADJUSTMENT OF A HEAT PUMP |
| US8676397B2 (en) * | 2010-12-20 | 2014-03-18 | International Business Machines Corporation | Regulating the temperature of a datacenter |
| JP2016014517A (en) * | 2014-06-13 | 2016-01-28 | 株式会社カネカ | Air conditioning system |
| CN108800431A (en) * | 2018-06-28 | 2018-11-13 | 湖南湖大瑞格能源科技有限公司 | A kind of energy-saving control method and system of air source heat pump system |
| CN109539480B (en) * | 2018-10-26 | 2021-05-07 | 国电南瑞科技股份有限公司 | Cold and hot load green energy-saving optimized dispatching system for distributed energy station |
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