CN111692716B - Air conditioner energy consumption calculation method and system and air conditioner - Google Patents
Air conditioner energy consumption calculation method and system and air conditioner Download PDFInfo
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- CN111692716B CN111692716B CN202010588615.6A CN202010588615A CN111692716B CN 111692716 B CN111692716 B CN 111692716B CN 202010588615 A CN202010588615 A CN 202010588615A CN 111692716 B CN111692716 B CN 111692716B
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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
- F24F11/46—Improving electric energy efficiency or saving
- F24F11/47—Responding to energy costs
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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
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/56—Remote control
- F24F11/58—Remote control using Internet communication
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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
- F24F11/89—Arrangement or mounting of control or safety devices
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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
- F24F2140/00—Control inputs relating to system states
- F24F2140/10—Pressure
- F24F2140/12—Heat-exchange fluid pressure
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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
- F24F2140/00—Control inputs relating to system states
- F24F2140/20—Heat-exchange fluid temperature
Abstract
The invention discloses an air conditioner energy consumption calculation method, an air conditioner energy consumption calculation system and an air conditioner. The air conditioner energy consumption calculation method comprises the following steps: step 1, physical property parameters of a refrigerant are collected, virtual enthalpy difference values at an inlet and an outlet of a compressor and an inlet and an outlet of an evaporator are respectively calculated through a calculating device and a preset physical property model, and energy consumption of an air conditioner is calculated according to the virtual enthalpy difference values; step 2, sending the virtual enthalpy difference value to a server, obtaining an enthalpy difference correction factor by using big data, and returning the enthalpy difference correction factor to the computing device; and 3, correcting the virtual enthalpy difference value and the air conditioner energy consumption by the computing device through the received enthalpy difference correction factor. The invention can quickly calculate the energy consumption of the air conditioner, improve the calculation precision and reduce the equipment cost.
Description
Technical Field
The invention relates to the technical field of air conditioners, in particular to an air conditioner energy consumption calculation method, an air conditioner energy consumption calculation system and an air conditioner.
Background
With the improvement of living standard of people, the energy consumption of buildings in China shows a continuous growth trend, and the current challenge in the aspect of building energy conservation is huge. In buildings with air conditioners, the air conditioners have high energy consumption for operation, and some of the energy consumption even reaches 60% of the total energy consumption of the buildings. In the age of rapid development of science and technology, the energy problem is increasingly tense, which may restrict the sustainable development of economy, so that the energy consumption of the air conditioner in the public building can be rapidly calculated, and the energy-saving control is urgently made.
The precondition for calculating the energy consumption is that the refrigeration/heat quantity and the electric quantity of the known air conditioner can be counted by a household charging mode at present, but the household charging system is difficult to popularize nationwide. Therefore, the calculation of the cooling/heating capacity of the air conditioner is still a difficult problem up to now. One method currently used is to derive the mass flow of the refrigerant by installing a mass flow meter or by deriving the fluid density and the compressor displacement, and then to calculate the enthalpy difference of the evaporator by using an enthalpy difference laboratory table in a laboratory environment to derive the refrigeration/thermal power. Because the enthalpy difference experiment table is large in size and high in cost, the enthalpy difference experiment table is obviously impractical to be applied to multi-online detection all over the country.
Disclosure of Invention
The invention provides an air conditioner energy consumption calculation method, a calculation system and an air conditioner, and aims to solve the technical problem that the air conditioner energy consumption cannot be accurately calculated in the prior art.
The method for calculating the energy consumption of the air conditioner by utilizing the virtual enthalpy difference comprises the following steps:
step 1, physical property parameters of a refrigerant are collected, virtual enthalpy difference values at an inlet and an outlet of a compressor and an inlet and an outlet of an evaporator are respectively calculated through a calculating device and a preset physical property model, and energy consumption of an air conditioner is calculated according to the virtual enthalpy difference values;
and 3, correcting the virtual enthalpy difference value and the air conditioner energy consumption by the computing device through the received enthalpy difference correction factor.
In step 1, the physical parameters of the refrigerant comprise the temperature and pressure at the inlet and outlet of the compressor, the outlet of the condenser and the outlet of the evaporator.
And 2, performing real-time data analysis by using the big data in combination with a distributed message queue and a streaming computing platform, performing supervised learning under the support of mass data, and correcting, converting and compensating the actual enthalpy difference of each machine type to obtain an enthalpy difference correction factor corresponding to each machine type.
The air conditioner energy consumption calculation method provided by the invention also comprises a step 4 of calculating the error ratio between the virtual enthalpy difference value and the corrected enthalpy difference value, or judging the error ratio between the energy consumption calculated by the virtual enthalpy difference value and the energy consumption calculated by the server end by utilizing big data, and judging whether the error ratio is larger than a set value A or not, if so, feeding back to the server to recalculate the enthalpy difference correction factor; if not, updating data in the computing device.
Preferably, the set value a is 5%.
Preferably, the physical property model preset by the calculating device is a fitting model obtained by calculation through big data and a physical property library, and the fitting model comprises the step of performing surface-to-surface fitting on the liquid phase and the gas phase of the refrigerant to realize the enthalpy value calculation of the same refrigerant in the gas state or the liquid state.
The invention also provides an air conditioner energy consumption calculation system, which comprises:
the refrigerant physical property parameter acquisition device is used for acquiring physical property parameters at an inlet and an outlet of the compressor and an inlet and an outlet of the evaporator;
the calculating device is used for respectively calculating virtual enthalpy difference values at the inlet and the outlet of the compressor and the inlet and the outlet of the evaporator according to the collected physical property parameters of the refrigerant and a preset physical property model, and calculating the energy consumption of the air conditioner according to the virtual enthalpy difference values;
the communication module is used for communicating with a remote server;
the server obtains the enthalpy difference correction factor by utilizing the big data and returns the enthalpy difference correction factor to the computing device, and the computing device corrects the virtual enthalpy difference value and the air conditioner energy consumption by the returned enthalpy difference correction factor.
Preferably, the air conditioner energy consumption calculation system provided by the invention further comprises a storage module for storing the refrigerant physical property parameters and the physical property model.
The refrigerant physical property parameter acquisition device comprises temperature sensors and pressure sensors which are arranged at an inlet and an outlet of the compressor, an outlet of the condenser and an outlet of the evaporator.
The invention also provides an air conditioner using the air conditioner energy consumption calculation method, and the air conditioner can quickly calculate the energy consumption by using the local calculation device.
The invention has the following beneficial effects:
1. the cost is reduced. The calculation of the cooling/heating capacity of the air conditioner usually requires the calculation of the mass flow and the enthalpy difference of the fluid, but the price of a detection element for directly measuring the mass flow is high, and an enthalpy difference experiment table for calculating the enthalpy difference is too heavy to be popularized to air conditioner use places all over the country. The method and the device provided by the invention can calculate the refrigerating/heating quantity without using a mass flow meter and setting an enthalpy difference experiment table in a using place, are simple and practical, and have low cost.
2. The correction factor is obtained using the big data. The method can analyze real-time data by using sample data returned by units all over the country, supervise and learn under the support of mass data, correct, convert and compensate the calculated virtual enthalpy difference of each machine type to obtain an enthalpy difference correction factor corresponding to each machine type, correct the virtual enthalpy difference value by using the enthalpy difference correction factor to obtain a more accurate enthalpy difference value, and ensure that the COP of the air conditioner can be accurately calculated no longer a problem.
Drawings
The invention is described in detail below with reference to the following figures and specific examples, wherein:
fig. 1 is an overall schematic diagram of an air conditioner energy consumption calculation system according to the present invention;
FIG. 2 is a flow chart of the local COP calculation using the air conditioner energy consumption calculation system proposed by the present invention;
figure 3 is a flow chart of the server side computing the enthalpy difference correction factor and verifying the locally computed COP.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in detail with reference to the accompanying drawings and examples. It should be understood that the following specific examples are only for illustrating the present invention and are not to be construed as limiting the present invention.
The invention discloses an air conditioner energy consumption calculation system, which can quickly calculate the virtual enthalpy difference between a compressor and an evaporator by utilizing the physical parameters of a refrigerant entering and exiting the compressor and the evaporator, and can quickly calculate the energy consumption of an air conditioner according to the virtual enthalpy difference. In order to obtain a more accurate energy consumption value, the invention also provides a correction factor obtained through big data, and the virtual enthalpy difference of the air conditioner end is corrected, so that the accuracy of the energy consumption of the air conditioner is improved.
As shown in fig. 1, the air conditioner energy consumption calculation system provided by the present invention includes: the refrigerant physical property parameter acquisition device 1 is used for acquiring physical property parameters at an inlet and an outlet of the compressor and an inlet and an outlet of the evaporator; the enthalpy value calculating device 2 is respectively arranged in the indoor unit and the outdoor unit and is used for respectively calculating virtual enthalpy difference values at the inlet and the outlet of the compressor and the inlet and the outlet of the evaporator through a preset physical model according to the collected physical parameters of the refrigerant; the communication module 3 is used for communicating with a remote server; the storage module 4 is used for storing refrigerant physical property parameters and preset physical property models; and the server 5 acquires the enthalpy difference correction factor by using the big data and returns the enthalpy difference correction factor to the computing device, and the computing device corrects the virtual enthalpy difference value and the air conditioner energy consumption by using the returned enthalpy difference correction factor.
In the embodiment shown in fig. 1, the refrigerant property parameter collecting means is a temperature sensor and a pressure sensor. The refrigerant at the inlet of the evaporator is unstable and is likely to be in a gas-liquid coexisting state, and when the fluid state is not single, the fluid state is at a saturation point, so that the enthalpy value of the fluid at the saturation point is difficult to accurately measure due to the existence of phase change latent heat. The outlet of the condenser is pure liquid refrigerant with normal temperature and high pressure, after the pure liquid refrigerant is subjected to isenthalpic throttling by the throttling valve, the pressure is reduced, the temperature is reduced, although part of the refrigerant is evaporated into gas, the enthalpy value can be kept unchanged in the closed space, so the process is also called isenthalpic throttling, and therefore, the enthalpy value at the outlet of the condenser can be used for replacing the enthalpy value at the inlet of the evaporator, namely, the enthalpy difference value at the outlet of the condenser and the outlet of the evaporator is used as the enthalpy difference value at the inlet and the outlet of the evaporator. The temperature and pressure values of the refrigerant measured by the temperature sensor and the pressure detection device of the multi-split air conditioner can be recorded in the storage module and used for being called by the calculation device.
The refrigerants at the inlet and the outlet of the compressor are all pure gaseous, but the refrigerants at normal temperature and low pressure are compressed by the compressor and then become high-temperature and high-pressure refrigerants, so that the temperature and the pressure at the inlet and the outlet of the compressor can be directly measured and recorded in the storage module.
As shown in fig. 1, an enthalpy difference calculation device 2 is respectively installed in an outdoor unit 10 and an indoor unit 20, the enthalpy difference calculation device can calculate the enthalpy difference of the inlet and the outlet of the compressor and the enthalpy difference of the evaporator through acquiring the temperature and the pressure values of the inlet and the outlet of the compressor, the outlet of the condenser and the outlet of the evaporator which are collected in an air conditioner storage module 4 and an enthalpy value calculation formula in a preset physical property module stored in the calculation device, the enthalpy difference of the two positions is corrected through an enthalpy difference correction factor corresponding to the type, and then the enthalpy difference of the two ends of the evaporator is divided by the enthalpy difference of the two ends of the compressor to indirectly obtain a real-time air conditioner energy value, and the real-time air conditioner energy value can be displayed to a user through a line controller 6.
The method for calculating the energy consumption of the air conditioner by utilizing the virtual enthalpy difference comprises the following steps:
step 1, acquiring physical parameters of a refrigerant by a refrigerant physical parameter acquisition device 1, respectively calculating virtual enthalpy difference values at an inlet and an outlet of a compressor and an inlet and an outlet of an evaporator by a calculation device and a preset physical model, and calculating the energy consumption of an air conditioner according to the virtual enthalpy difference values;
and 3, correcting the virtual enthalpy difference value and the air conditioner energy consumption by the computing device through the received enthalpy difference correction factor.
The enthalpy value calculation method comprises the following steps:
the national institute of standards and technology in the united states has developed a refrigerant physical property query software (NIST Refprop), which is commonly used in the refrigeration industry, and is a physical property library that can query various refrigerant physical property parameters (such as temperature, pressure, density, enthalpy value, etc.) and realize the invocation of physical property data. It is possible to find individual property parameters for both single substances (such as R22 refrigerant) and mixed substances (such as R410A). The basic physical parameters required by the refrigerant system design, such as pressure, density, vapor density, liquid enthalpy, vapor enthalpy, etc., can be queried in the database. The type of refrigerant, whether it is a single substance (or a mixture substance), the state of the refrigerant (whether it is saturated), and the like are required to be set before the inquiry.
The database is huge in data and can only be used on a PC platform. The master control end of the air conditioner generally cannot call the database. Therefore, the invention provides a method for calculating the enthalpy value on the air conditioner main control end by fitting the existing physical properties of the refrigerant. The server side uses a large amount of existing historical full sample data, uses the specific enthalpy of Refprop as a reference, uses the temperature and the pressure as calculation factors through a least square method, and performs polynomial surface fitting on the specific enthalpy, and the fitting result combines the number of systems and the calculation complexity to obtain a physical property model with optimal precision and calculated amount. The physical property model is a fitting model obtained by calculation of big data and a physical property library, and comprises the step of performing split-surface fitting on the liquid phase and the gas phase of a refrigerant to realize enthalpy value calculation of the same refrigerant in a gas state or a liquid state. The physical model is preset in the enthalpy calculation device 2 of the air conditioner end, or can be stored in the memory 4 of the air conditioner end, and when the virtual enthalpy difference needs to be calculated, the calculation device calls the physical model to realize the enthalpy calculation of the same refrigerant in a gas state or a liquid state.
Fig. 2 is a flowchart of locally calculating COP using the air conditioner energy consumption calculation system according to the present invention. The method comprises the steps of firstly, acquiring temperature and pressure values at an inlet and an outlet of a compressor, an outlet of a condenser and an outlet of an evaporator through a temperature sensor and a pressure sensor, then respectively storing the acquired data in storage modules of an indoor unit and an outdoor unit, respectively calculating enthalpy difference values of the inlet and the outlet of the compressor and enthalpy difference values of the inlet and the outlet of the evaporator through calculation devices arranged in the indoor unit and the outdoor unit, and then obtaining the energy efficiency ratio COP of the air conditioner by quoting the enthalpy differences of the inlet and the outlet of the compressor and displaying the COP on a line controller 6.
In the experimental stage before each air conditioner product leaves the factory, the result of the enthalpy difference experimental table is used as a correct result, the virtual enthalpy difference calculated by the enthalpy difference calculation device at the air conditioner end is continuously corrected, and finally an enthalpy difference correction factor with a lower error is obtained and written into a program of the enthalpy difference calculation device at the air conditioner end. After the enthalpy difference correction factor is obtained, the client can obtain the virtual enthalpy difference value only by using the enthalpy difference calculation device of the multi-split air distribution system without using an enthalpy difference experiment table. Each model corresponds to a set of enthalpy difference correction factors.
Because the components and the operating environment of each machine type are not completely the same, the virtual enthalpy difference value obtained by the calculation device and the actual enthalpy difference value calculated by the enthalpy difference test bed may have errors. At the moment, the virtual enthalpy difference value is sent to the server side, the enthalpy difference correction factor is recalculated by utilizing big data, the calculation result is fed back to the air conditioner side, the enthalpy difference correction factor data are updated, and the calculation precision is continuously improved.
As shown in fig. 1, the communication module 3 in the multi-split air conditioner periodically sends real-time operation data of units across the country and environment data of the units to the server 5, and pushes the data into the message middleware 7 according to the designated number of partitions and the number of copies (data is backed up on other servers) after the data is preliminarily screened and processed. Because the cardinality of the multi-connection machines in the national range is large, and the performance of the server is poor or even down due to the accumulation of massive data, the distributed streaming computing platform 8 (which stores the data in different servers in blocks) is adopted in the invention, and the message middleware is used for buffering the data with high concurrency to generate the effect of peak clipping, so that the bad effect of data loss caused by down of cluster nodes due to data congestion can be prevented.
The server side can utilize the existing big data flow type computing platform to perform real-time data analysis, so that the real-time computation of the multi-connected refrigeration capacity and the energy efficiency and the verification of the virtual enthalpy difference data are realized, as shown in fig. 3. The distributed streaming computing platform draws data of the message middleware to perform real-time data analysis and data processing, and electric power of the indoor unit and the outdoor unit can be computed through data such as running frequency of each compressor of the outdoor unit, running frequency of a fan, running mode of the indoor unit, wind shield and power-on state of each valve, so that total electric power of the multi-split air conditioner is obtained. The density of the refrigerant is obtained by calculation through an ideal gas state equation, and as the discharge capacity of a compressor of one type is fixed and is a physical quantity representing the volume flow, the mass flow can be calculated by combining the volume flow and the density, and then the mass flow and the enthalpy difference are multiplied to obtain the refrigerating/heating power. Dividing the refrigeration/thermal power and the total electric power to obtain a quotient which is the real energy efficiency ratio COP of the multi-split air conditioner, storing the data in a relational database 11 at a server end, comparing the COP obtained by the virtual enthalpy difference calculated by the local enthalpy difference calculation device of the multi-split air conditioner, if the error exceeds 5%, recalculating the enthalpy difference correction factor by a neural network 9, and transmitting the recalculated enthalpy difference correction factor 12 to the local virtual enthalpy difference calculation device of the multi-split air conditioner, thereby realizing the offline and online calculation of the COP of the air conditioner.
The foregoing is considered as illustrative only of the embodiments of the invention. It should be understood that any modifications, equivalents and changes made within the spirit and framework of the inventive concept are intended to be included within the scope of the present invention.
Claims (10)
1. An air conditioner energy consumption calculation method is characterized by comprising the following steps:
step 1, acquiring physical property parameters of a refrigerant, respectively calculating virtual enthalpy difference values at an inlet and an outlet of a compressor and an inlet and an outlet of an evaporator through a calculating device arranged in an indoor unit and an outdoor unit and a preset physical property model, and calculating the energy consumption of an air conditioner according to the virtual enthalpy difference values;
step 2, sending the virtual enthalpy difference value to a server, obtaining an enthalpy difference correction factor by using big data, and returning the enthalpy difference correction factor to the computing device;
and 3, correcting the virtual enthalpy difference value and the air conditioner energy consumption by the computing device through the received enthalpy difference correction factor.
2. The method for calculating air conditioner energy consumption according to claim 1, wherein in step 1, the refrigerant physical property parameters include temperature and pressure at an inlet and an outlet of a compressor, an outlet of a condenser and an outlet of an evaporator.
3. The air conditioner energy consumption calculation method according to claim 1, wherein the big data is used in the step 2, real-time data analysis is performed by combining a distributed message queue and a streaming type calculation platform, supervised learning is performed under the support of massive data, and the actual enthalpy difference of each model is corrected, converted and compensated to obtain the enthalpy difference correction factor corresponding to each model.
4. The air conditioner energy consumption calculation method according to claim 1, further comprising a step 4 of calculating an error ratio between the virtual enthalpy difference value and the corrected enthalpy difference value, or judging an error ratio between energy consumption calculated by the virtual enthalpy difference value and energy consumption calculated by the server side using big data, and judging whether the error ratio is greater than a set value A, if so, feeding back to the server to recalculate the enthalpy difference correction factor; if not, updating data in the computing device.
5. The air conditioner energy consumption calculation method of claim 4, wherein the set value A is 5%.
6. The air conditioner energy consumption calculation method as claimed in claim 1, wherein the physical property model preset by the calculation device is a fitting model obtained through calculation of big data and a physical property library, and the fitting model comprises a step of performing surface-splitting fitting on a liquid phase and a gas phase of the refrigerant to realize enthalpy value calculation of the same refrigerant in a gas state or a liquid state.
7. An air conditioner energy consumption calculation system, comprising:
the refrigerant physical property parameter acquisition device is used for acquiring physical property parameters at an inlet and an outlet of the compressor and an inlet and an outlet of the evaporator;
the calculating devices are arranged on the indoor unit and the outdoor unit and used for respectively calculating virtual enthalpy difference values at the inlet and the outlet of the compressor and the inlet and the outlet of the evaporator according to the collected physical property parameters of the refrigerant and a preset physical property model and calculating the energy consumption of the air conditioner according to the virtual enthalpy difference values;
the communication module is used for communicating with a remote server;
the server obtains the enthalpy difference correction factor by utilizing the big data and returns the enthalpy difference correction factor to the computing device, and the computing device corrects the virtual enthalpy difference value and the air conditioner energy consumption by the returned enthalpy difference correction factor.
8. The air conditioner energy consumption calculation system of claim 7 further comprising a storage module for storing refrigerant property parameters and property models.
9. The air conditioner energy consumption calculation system of claim 7, wherein the refrigerant property parameter acquisition device comprises temperature sensors and pressure sensors disposed at the inlet and outlet of the compressor, the outlet of the condenser and the outlet of the evaporator.
10. An air conditioner, characterized in that the air conditioner uses the air conditioner energy consumption calculation method of any one of claims 1 to 6.
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| CN109595763B (en) * | 2018-12-21 | 2020-11-03 | 珠海格力电器股份有限公司 | Control strategy optimization method and device of air conditioning system and computer equipment |
| CN109959122A (en) * | 2019-03-11 | 2019-07-02 | 浙江工业大学 | A kind of Energy consumption forecast for air conditioning method based on shot and long term memory Recognition with Recurrent Neural Network |
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