CN111854064A - Energy consumption calculation method and system and air conditioning unit - Google Patents
Energy consumption calculation method and system and air conditioning unit Download PDFInfo
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Abstract
The invention discloses an energy consumption calculation method, an energy consumption calculation system and an air conditioning unit, wherein the energy consumption calculation method comprises the following steps: establishing a characteristic calculation model of key parameters and energy parameters; capturing key parameters of the electric appliance during operation, and inputting the key parameters into the characteristic calculation model to obtain corresponding energy parameters; inputting the energy parameters into a preset energy consumption calculation model to obtain a theoretical energy consumption value; uploading the key parameters and the theoretical energy consumption values to a server, establishing a data comparison table of the key parameters and the standard energy consumption values by the server, acquiring the corresponding standard energy consumption values from the data comparison table by the server according to the key parameters, calculating errors between the theoretical energy consumption values and the standard energy consumption values, and updating correction coefficients in the preset energy consumption calculation model. The invention calculates the energy consumption of the electric appliance by using the physical model, and can acquire the energy consumption condition of the on-line operation of the electric appliance without adding a sensor or an electric meter.
Description
Technical Field
The invention relates to the technical field of energy consumption calculation, in particular to an energy consumption calculation method, an energy consumption calculation system and an air conditioning unit.
Background
With the continuous improvement of living standard, electrical appliances are widely applied to various places, taking air conditioners as an example, the building energy consumption of China approximately accounts for 25% of the total social energy consumption, the heating ventilation air conditioner energy consumption ratio in the building energy consumption can reach 40% -60%, the residential air conditioner energy consumption of China is increased by 7 times in 15 years, the increasing speed is too high, and the problem of solving the air conditioner energy consumption is a problem which needs to be solved urgently at present.
The method comprises the steps of evaluating whether an air conditioner uses an Energy Efficiency grade (Energy Efficiency Index) on the market for Energy conservation, generally classifying the air conditioner into 1-5 grades, wherein the Energy Efficiency ratio is an important Index for evaluating whether the air conditioner is Energy-saving, the Energy Efficiency grade of the air conditioner is classified according to the Energy Efficiency ratio, for example, if the Energy Efficiency ratio is more than 3.40, the Energy Efficiency grade is 1 grade, if the Energy Efficiency ratio is 3.20-3.39, the Energy Efficiency grade is 2 grade, and the like.
The air conditioning system is a complex physical system, mainly based on Carnot circulation and reverse Carnot circulation, the refrigeration/heat and power consumption of the air conditioner need to be known when the energy efficiency of the air conditioner is calculated, at present, a sensor can not directly collect the cold and heat of the air conditioner, indirect calculation needs to be carried out, a special enthalpy difference experiment table is used for measuring the cold and heat of the air conditioning system, the enthalpy difference experiment table is high in cost, the collection of the power can be achieved through an electric meter, but the cost of the air conditioner can be increased when the electric meter is added into each air conditioner, and the situation of the energy consumption of the air conditioner during online operation can not be known.
The energy efficiency ratio of the air conditioner on the market is a test result in a laboratory environment, and the energy efficiency condition of the air conditioner actually used by people cannot be truly reflected. Moreover, the energy efficiency of the air conditioner is greatly influenced by using habits and regional environments, and no data can reflect the online operation energy efficiency condition of the air conditioner in China at present.
Therefore, how to design the energy consumption calculation method is an urgent technical problem to be solved in the industry.
Disclosure of Invention
In order to solve the problem that the energy consumption condition of the online operation of the electric appliance cannot be detected in the prior art, the invention provides an energy consumption calculation method, an energy consumption calculation system and an air conditioning unit.
The technical scheme adopted by the invention is that the design energy consumption calculation method comprises the following steps:
establishing a characteristic calculation model of a calculation relation between the key parameters and the energy parameters;
capturing key parameters of the electric appliance during operation, and inputting the key parameters into the characteristic calculation model to obtain corresponding energy parameters;
and inputting the energy parameters into a preset energy consumption calculation model to obtain a theoretical energy consumption value.
In one embodiment, the electric appliance is an air conditioning unit, the key parameters are refrigerant pressure and refrigerant temperature, and the energy parameter is specific enthalpy;
the characteristic calculation model is a first calculation model of refrigerant pressure, refrigerant temperature and specific enthalpy, and the refrigerant pressure and the refrigerant temperature are input into the first calculation model to obtain the corresponding specific enthalpy;
the preset energy consumption calculation model is a refrigeration real-time energy consumption ratio calculation model and/or a heating real-time energy consumption ratio calculation model.
In another embodiment, the electric appliance is an air conditioning unit, the key parameters are refrigerant pressure and refrigerant temperature, and the energy parameters are specific enthalpy and refrigerant density respectively;
the characteristic calculation model includes: the method comprises the steps of inputting the refrigerant pressure and the refrigerant temperature into the first calculation model to obtain corresponding specific enthalpy, and inputting the refrigerant pressure and the refrigerant temperature into the second calculation model to obtain corresponding refrigerant density;
the preset energy consumption calculation model comprises at least one of a refrigeration real-time energy consumption ratio calculation model, a power consumption calculation model, a refrigeration capacity calculation model and a heating capacity calculation model.
Preferably, the first calculation model is established in the following manner: collecting the refrigerant pressure, the refrigerant temperature and the specific enthalpy of the air conditioning unit during operation as sample data, and fitting the refrigerant pressure, the refrigerant temperature and the corresponding specific enthalpy to establish a first calculation model;
the second calculation model is established in the following way: and obtaining a temperature-pressure-density comparison table of the refrigerant used by the air conditioning unit, screening out the refrigerant pressure, the refrigerant temperature and the corresponding refrigerant density, fitting and establishing the second calculation model.
Wherein, the refrigeration real-time energy consumption ratio calculation model is as follows: refrigeration real-time energy consumption ratio = ((H1-H3) ÷ (H2-H1)) × η; h1 is the specific enthalpy of the inlet of the compressor, H2 is the specific enthalpy of the outlet of the compressor, H3 is the specific enthalpy of the inlet of the indoor unit of the air conditioning unit, and eta is the correction coefficient.
The heating real-time energy consumption ratio calculation model is as follows: heating real-time energy consumption ratio = ((H1-H3) ÷ (H2-H1) + 1) × η; h1 is the specific enthalpy of the inlet of the compressor, H2 is the specific enthalpy of the outlet of the compressor, H3 is the specific enthalpy of the inlet of the indoor unit of the air conditioning unit, and eta is the correction coefficient.
The power consumption calculation model is as follows: p = (H2-H1) × D1 × V × f × λ; h1 is the compressor inlet specific enthalpy, H2 is the compressor outlet specific enthalpy, D1 is the compressor inlet refrigerant density, V is the compressor displacement, f is the compressor operating frequency, and lambda is the correction coefficient.
The refrigerating capacity calculation model is as follows: qCold= (H1-H3) × D1 × V × f × γ; h1 is the inlet specific enthalpy of the compressor, H3 is the inlet specific enthalpy of the indoor unit of the air conditioning unit, D1 is the inlet refrigerant density of the compressor, V is the displacement of the compressor, f is the running frequency of the compressor, and gamma is the correction coefficient.
The heating capacity calculation model is as follows: qHeat generation= ((H1-H3) × D1 × V × f × γ) + P, = (H2-H1) × D1 × V × f × λ; h1 is the inlet specific enthalpy of the compressor, H2 is the outlet specific enthalpy of the compressor, H3 is the inlet specific enthalpy of the indoor unit of the air conditioning unit, D1 is the inlet refrigerant density of the compressor, V is the displacement of the compressor, f is the running frequency of the compressor, and gamma and lambda are correction coefficients.
Preferably, the energy consumption calculation method further includes: uploading the key parameters and the theoretical energy consumption values to a server, establishing a data comparison table of the key parameters and the standard energy consumption values by the server, acquiring the corresponding standard energy consumption values from the data comparison table by the server according to the key parameters, calculating errors between the theoretical energy consumption values and the standard energy consumption values, and updating correction coefficients in the preset energy consumption calculation model.
Preferably, the energy consumption calculation method further includes: and inputting the energy parameters into a preset energy consumption calculation model to obtain a theoretical energy consumption value, and then sending the theoretical energy consumption value to a data bus of the electric appliance so as to supply the electric appliance with energy-saving control.
The invention also provides an energy consumption online computing system, which comprises:
the energy efficiency acquisition device is used for capturing key parameters of the electric appliance during operation;
and the energy efficiency metering module is established with a preset energy consumption calculation model and a characteristic calculation model of key parameters and energy parameters, the key parameters are input into the characteristic calculation model to obtain corresponding energy parameters, and the energy parameters are input into the preset energy consumption calculation model to obtain a theoretical energy consumption value.
Preferably, the energy consumption online computing system further comprises:
the server establishes a data comparison table of the key parameters and the standard energy consumption values;
the energy efficiency acquisition device and the energy efficiency metering device are arranged in the electric appliance, the energy efficiency metering device uploads the key parameters and the theoretical energy consumption value to the server, the server obtains the corresponding standard energy consumption value from the data comparison table according to the key parameters, the error between the theoretical energy consumption value and the standard energy consumption value is calculated, and the correction coefficient in the preset energy consumption calculation model is updated.
Preferably, the energy efficiency metering module is connected with a data bus of the electrical appliance, and after the energy efficiency metering module calculates the theoretical energy consumption value, the theoretical energy consumption value is sent to the data bus of the electrical appliance.
The invention also provides an air conditioning unit which adopts the energy consumption online computing system to compute the energy consumption.
Compared with the prior art, the method has the advantages that the theoretical energy consumption value can be obtained by establishing the characteristic calculation model of the key parameters and the energy parameters and inputting the key parameters acquired in real time into the preset energy consumption calculation model when the air conditioning unit is actually used, and the energy efficiency state of the air conditioning unit can be calculated on line without adding an additional sensor. The theoretical energy consumption value can be uploaded to the server, and the server updates the correction coefficient in the preset energy consumption calculation model according to the error between the theoretical energy consumption value and the standard energy consumption value, so that the effect of more accurate calculation of the theoretical energy consumption value is achieved.
Drawings
The invention is described in detail below with reference to examples and figures, in which:
FIG. 1 is a schematic diagram of a first calculation model of refrigerant temperature, pressure and specific enthalpy according to the present invention;
FIG. 2 is a flow chart of an online energy consumption calculation process according to the present invention;
FIG. 3 is a flow chart illustrating a server modification process according to the present invention;
FIG. 4 is a schematic diagram of a second calculation model of the temperature, pressure and density of the refrigerant according to the present invention.
Detailed Description
The energy consumption calculation method and the energy consumption online calculation system provided by the invention are used for calculating the online operation energy consumption of the electric appliance, so that the actual energy efficiency condition in the operation process of the electric appliance can be clearly and intuitively known. The energy consumption calculation method and the energy consumption online calculation system are not only suitable for the electric appliances with large energy consumption, such as the air conditioning unit, but also suitable for other electric appliances except the air conditioning unit, and for convenience of understanding, the air conditioning unit is only taken as an example for explanation.
The energy consumption calculation method comprises the following steps:
establishing a characteristic calculation model of key parameters and energy parameters;
capturing key parameters of the air conditioning unit during operation, and inputting the key parameters into the characteristic calculation model to obtain corresponding energy parameters;
and inputting the energy parameters into a preset energy consumption calculation model to obtain a theoretical energy consumption value.
The key parameters are parameters which can be detected by a sensor, and when the electric appliance is an air conditioning unit, the key parameters can be refrigerant pressure, refrigerant temperature and the like. The energy parameter is a reference quantity related to energy consumption of the electrical appliance, that is, a theoretical energy consumption value of the electrical appliance can be calculated through the energy parameter, when the electrical appliance is an air conditioning unit, the energy parameter can be specific enthalpy or refrigerant density, and the following detailed description is given to key parameters and energy parameters through an embodiment.
According to the invention, by pre-establishing the characteristic calculation model, the energy consumption condition of the air conditioning unit can be obtained under the condition that an additional sensor is not added, the key parameter is captured in the operation process of the air conditioning unit, the key parameter is input into the characteristic calculation model to obtain the energy parameter, and then the energy parameter is input into the preset energy consumption calculation model to obtain the theoretical energy consumption value through calculation, so that the effect of calculating the energy efficiency condition of the air conditioning unit in real time on line is realized.
Further, the energy consumption calculation method further includes: the key parameters and the theoretical energy consumption value are uploaded to a server, a data comparison table of the key parameters and the standard energy consumption value is established in the server, and the server records the key parameters and the theoretical energy consumption value, so that the effect of collecting the energy consumption conditions of all air conditioning units by the cloud is achieved. And the server acquires a corresponding standard energy consumption value from the data comparison table according to the key parameter, calculates an error between the theoretical energy consumption value and the standard energy consumption value, and updates a correction coefficient in the preset energy consumption calculation model so as to improve the accuracy of the theoretical energy consumption value.
It should be noted that the data comparison table established in the server is obtained by counting experimental data of the enthalpy difference experiment table, air conditioning units of different models have corresponding data comparison tables, and different theoretical energy consumption values also have corresponding data comparison tables.
The energy consumption calculation method is described in detail below with specific examples.
In the first embodiment, the key parameters are refrigerant pressure and refrigerant temperature, the energy parameter is specific enthalpy, the characteristic calculation model is a first calculation model of the refrigerant pressure, the refrigerant temperature and the specific enthalpy, the preset energy consumption calculation model is a refrigeration real-time energy consumption ratio calculation model and/or a heating real-time energy consumption ratio calculation model, a theoretical energy consumption value calculated by the refrigeration real-time energy consumption ratio calculation model is a refrigeration real-time energy consumption ratio EER, a standard theoretical value in a data comparison table corresponding to the refrigeration real-time energy consumption ratio is a refrigeration standard energy consumption ratio, a theoretical energy consumption value calculated by the heating real-time energy consumption ratio calculation model is a heating real-time energy consumption ratio COP, and a standard theoretical value in a data comparison table corresponding to the heating real-time energy consumption ratio is a heating standard energy consumption ratio.
Wherein, the refrigeration real-time energy consumption ratio calculation model is as follows: EER = ((H1-H3) ÷ (H2-H1)) × η; h1 is the specific enthalpy of the inlet of the compressor, H2 is the specific enthalpy of the outlet of the compressor, H3 is the specific enthalpy of the inlet of the indoor unit of the air conditioning unit, eta is a correction coefficient, wherein eta takes a value of 1 when the air conditioning unit initially operates.
The heating real-time energy consumption ratio calculation model is as follows: COP = ((H1-H3) ÷ (H2-H1) + 1) × η; h1 is the specific enthalpy of the inlet of the compressor, H2 is the specific enthalpy of the outlet of the compressor, H3 is the specific enthalpy of the inlet of the indoor unit of the air conditioning unit, and eta is the correction coefficient.
As shown in fig. 1, the first calculation model is established in the following manner: the method comprises the steps of collecting refrigerant pressure, refrigerant temperature and specific enthalpy during operation of the air conditioning unit as sample data, wherein the refrigerant pressure and the refrigerant temperature refer to the refrigerant pressure and the refrigerant temperature at an inlet and an outlet of a compressor, and fitting the refrigerant pressure, the refrigerant temperature and the specific enthalpy to establish a first calculation model. The specific enthalpy can be obtained through a temperature-pressure-specific enthalpy comparison table of the refrigerant used by the air conditioning unit, and the refrigerant pressure, the refrigerant temperature and the corresponding specific enthalpy are screened out to be fitted to establish a first calculation model. The specific enthalpy can also be obtained by detecting the operation parameters of the air conditioning unit, substituting the parameters related to specific enthalpy calculation in the operation parameters into a preset specific enthalpy calculation formula for calculation, and finally fitting the refrigerant pressure, the refrigerant temperature and the corresponding specific enthalpy in the operation parameters to establish a first calculation model.
As shown in fig. 2, when the air conditioning unit performs cooling operation, the refrigerant pressure and the refrigerant temperature at the inlet of the compressor are input into the first calculation model to obtain H1, the refrigerant pressure and the refrigerant temperature at the outlet of the compressor are input into the first calculation model to obtain H2, the refrigerant pressure and the refrigerant temperature at the inlet of the indoor unit are input into the first calculation model to obtain H3, the calculated H1, H2 and H3 are input into the cooling real-time energy consumption ratio calculation model to obtain a cooling real-time energy consumption ratio, and the real-time energy consumption grade is determined after the cooling real-time energy consumption ratio is calculated.
As shown in fig. 3, after the online calculation is completed, on one hand, the real-time energy efficiency level is fed back to the data bus of the air conditioning unit, and the air conditioning unit can adjust the operation state thereof according to the real-time energy efficiency level to realize energy saving control. On the other hand, energy consumption data such as key parameters, refrigeration real-time energy consumption ratios, air conditioning unit models and the like are uploaded to the server, the server obtains corresponding refrigeration standard energy consumption ratios from the data comparison table, the error between the refrigeration real-time energy consumption ratios and the refrigeration standard energy consumption ratios is calculated, the correction coefficient eta in the refrigeration real-time energy consumption ratio calculation model is updated, and the eta is returned to the air conditioning unit, so that the accuracy of the refrigeration real-time energy consumption ratios is improved.
When the air conditioning unit is in heating operation, the refrigerant pressure and the refrigerant temperature at the inlet of the compressor are input into the first calculation model to obtain H1, the refrigerant pressure and the refrigerant temperature at the outlet of the compressor are input into the first calculation model to obtain H2, the refrigerant pressure and the refrigerant temperature at the inlet of the indoor unit are input into the first calculation model to obtain H3, and the calculated H1, H2 and H3 are input into the heating real-time energy consumption ratio calculation model to obtain the heating real-time energy consumption ratio.
And on one hand, the real-time energy efficiency grade is fed back to a data bus of the air conditioning unit, and the air conditioning unit can adjust the running state according to the real-time energy efficiency grade to realize energy-saving control. On the other hand, energy consumption data such as key parameters, the heating real-time energy consumption ratio, the air conditioning unit model and the like are uploaded to the server, the server obtains the corresponding heating standard energy consumption ratio from the data comparison table, the error between the heating real-time energy consumption ratio and the heating standard energy consumption ratio is calculated, the correction coefficient eta in the heating real-time energy consumption ratio calculation model is updated, and the eta is returned to the air conditioning unit, so that the accuracy of the heating real-time energy consumption ratio is improved.
In a second embodiment, the key parameters are refrigerant pressure and refrigerant temperature, the energy parameters are specific enthalpy and refrigerant density, respectively, and the characteristic calculation model includes: the preset energy consumption calculation model comprises at least one of a refrigeration real-time energy consumption ratio calculation model, a power consumption calculation model, a refrigeration quantity calculation model and a heating quantity calculation model, a theoretical energy consumption value calculated by the refrigeration real-time energy consumption ratio calculation model is a refrigeration real-time energy consumption ratio, a standard theoretical value in a data comparison table corresponding to the refrigeration real-time energy consumption ratio is a refrigeration standard energy consumption ratio, a theoretical energy consumption value calculated by the heating real-time energy consumption ratio calculation model is a heating real-time energy consumption ratio, a standard theoretical value in a data comparison table corresponding to the heating real-time energy consumption ratio is a heating standard energy consumption ratio, a theoretical energy consumption value calculated by the power consumption calculation model is real-time power consumption, and a standard theoretical value in a data comparison table corresponding to the real-time power consumption is standard power consumption, the theoretical energy consumption value calculated by the refrigerating capacity calculation model is the real-time refrigerating capacity, the standard theoretical value in the data comparison table corresponding to the real-time refrigerating capacity is the standard refrigerating capacity, the theoretical energy consumption value calculated by the heating capacity calculation model is the real-time heating capacity, and the standard theoretical value in the data comparison table corresponding to the real-time heating capacity is the standard heating capacity.
The establishing method of the first calculation model is the same as that in the first embodiment, and the on-line calculation and correction process of the refrigeration real-time energy consumption ratio is described in detail in the first embodiment, and is not described herein again.
As shown in fig. 4, the second calculation model is established in the following manner: and obtaining a temperature-pressure-density comparison table of the refrigerant used by the air conditioning unit, screening out the pressure and the temperature of the refrigerant and the corresponding density of the refrigerant, and fitting to establish the second calculation model. More specifically, different refrigerant models have corresponding temperature-pressure-density comparison tables, and those skilled in the art can obtain the comparison tables from existing literatures such as handbooks, and in the process of establishing the second calculation model, according to the refrigerant model used by the air conditioning unit, the corresponding temperature-pressure-density comparison tables are obtained, then the corresponding refrigerant densities under different refrigerant pressures and refrigerant temperatures are selected, each group of refrigerant pressure, refrigerant temperature and refrigerant density corresponds to one point, and a plurality of points are fitted to obtain the second calculation model.
The power consumption calculation model is as follows: p =ΔH2-1×
×λ=（H2-H1）×D1×V×f×λ，
= D1×V×f；
The mass flow is the product of the density of the refrigerant and the displacement of the compressor, the displacement of the compressor is the volume flow under the working condition of specific temperature and pressure, the volume flow can be converted into the mass flow by the density, generally, the mass flow of the air conditioning system is equal everywhere, and the delta H is2-1The difference between the specific enthalpy of the outlet of the compressor and the specific enthalpy of the inlet of the compressor, H1 is the specific enthalpy of the inlet of the compressor, H2 is the specific enthalpy of the outlet of the compressor, D1 is the density of the refrigerant at the inlet of the compressor, V is the displacement of the compressor, f is the running frequency of the compressor, and lambda is a correction coefficient.
When the air conditioning unit operates, the pressure and the temperature of the refrigerant at the inlet of the compressor are input into the first calculation model to obtain H1, the pressure and the temperature of the refrigerant at the outlet of the compressor are input into the first calculation model to obtain H2, the pressure and the temperature of the refrigerant at the inlet of the compressor are input into the second calculation model to obtain D1, and the calculated H1, H2 and D1 are input into the power consumption calculation model to obtain real-time power consumption.
The energy consumption data such as key parameters, real-time power consumption, air conditioning unit models and the like are uploaded to the server, the server obtains corresponding standard power consumption from the data comparison table, the error between the real-time power consumption and the standard power consumption is calculated, the correction coefficient lambda in the power consumption calculation model is updated, and the lambda is returned to the air conditioning unit, so that the accuracy of the real-time power consumption is improved. The standard power consumption is obtained by collecting the model of the air conditioning unit, key parameters and electrical parameters in an experiment in advance, the electrical parameters are voltage and current of an air conditioner external unit, power data are obtained according to the product of the current and the voltage, and the power data corresponding to the model of the air conditioning unit and the key parameters are the standard power consumption in the data comparison table.
The refrigerating capacity calculation model is as follows: qCold=△H1-3×
×γ=（H1-H3）×D1×V×f×γ；
Mass flow rate is the product of refrigerant density and compressor displacement, which is the volume flow rate under specific temperature and pressure conditions, Delta H1-3The difference between the inlet specific enthalpy of the compressor and the inlet specific enthalpy of the indoor unit, H1 is the inlet specific enthalpy of the compressor, H3 is the inlet specific enthalpy of the indoor unit of the air conditioning unit, D1 is the inlet refrigerant density of the compressor, V is the displacement of the compressor, f is the running frequency of the compressor, and gamma is a correction coefficient.
The heating capacity calculation model is as follows: qHeat generation=（△H1-3×
χ γ) + P = ((H1-H3) × D1 × V × f × γ) + P, P = (H2-H1) × D1 × V × f × λ; h1 is the inlet specific enthalpy of the compressor, H2 is the outlet specific enthalpy of the compressor, H3 is the inlet specific enthalpy of the indoor unit of the air conditioning unit, D1 is the inlet refrigerant density of the compressor, V is the displacement of the compressor, f is the running frequency of the compressor, and gamma and lambda are correction coefficients.
The refrigeration real-time energy efficiency ratio calculation model is as follows: EER = QColdP, a heating real-time energy efficiency ratio calculation model is as follows: COP = QHeat generation÷P。
The on-line calculation and correction processes of the cooling capacity and the heating capacity are the same as the power consumption amount, and are not described in detail herein.
As shown in fig. 2, the energy efficiency online computing system of the invention includes an energy efficiency acquisition device and an energy efficiency metering module, the energy efficiency acquisition device and the energy efficiency metering module are arranged in an air conditioning unit, the energy efficiency metering module is established with a preset energy consumption computing model and a characteristic computing model of key parameters and energy parameters, the energy efficiency metering module captures the key parameters of the air conditioning unit during operation through the energy efficiency acquisition device, inputs the captured key parameters into the characteristic computing model to obtain corresponding energy parameters, and inputs the energy parameters into the preset energy consumption computing model to obtain a theoretical energy consumption value.
The theoretical energy consumption value calculation process is executed by the energy efficiency metering module, namely the air conditioning unit automatically calculates the theoretical energy consumption value on line, the energy efficiency metering module is connected with a data bus of the air conditioning unit, and after the theoretical energy consumption value is calculated by the energy efficiency metering module, the theoretical energy consumption value is sent to the data bus of the air conditioning unit, so that the air conditioning unit can know the energy consumption condition in real time and adjust the working state in time.
Further, as shown in fig. 3, the energy efficiency metering module is connected to the server in a wired or wireless manner, a data comparison table of key parameters and standard energy consumption values is established in the server, the energy efficiency metering device uploads energy consumption data such as key parameters and theoretical energy consumption values to the server, the server obtains a corresponding standard energy consumption value from the data comparison table, calculates an error between the theoretical energy consumption value and the standard energy consumption value, updates a correction coefficient in the preset energy consumption calculation model, and the correction process refers to the above online calculation method.
The invention also provides an air conditioning unit which adopts the energy consumption online computing system to compute the energy consumption.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (14)
1. The energy consumption calculation method is characterized by comprising the following steps of:
establishing a characteristic calculation model of a calculation relation between the key parameters and the energy parameters;
capturing key parameters of the electric appliance during operation, and inputting the key parameters into the characteristic calculation model to obtain corresponding energy parameters;
and inputting the energy parameters into a preset energy consumption calculation model to obtain a theoretical energy consumption value.
2. The energy consumption calculation method according to claim 1, wherein the electrical appliance is an air conditioning unit, the key parameters are refrigerant pressure and refrigerant temperature, and the energy parameter is specific enthalpy;
the characteristic calculation model is a first calculation model of refrigerant pressure, refrigerant temperature and specific enthalpy, and the refrigerant pressure and the refrigerant temperature are input into the first calculation model to obtain the corresponding specific enthalpy;
the preset energy consumption calculation model is a refrigeration real-time energy consumption ratio calculation model and/or a heating real-time energy consumption ratio calculation model.
3. The energy consumption calculation method according to claim 1, wherein the electrical appliance is an air conditioning unit, the key parameters are refrigerant pressure and refrigerant temperature, and the energy parameters are specific enthalpy and refrigerant density, respectively;
the characteristic calculation model includes: the method comprises the steps of inputting the refrigerant pressure and the refrigerant temperature into the first calculation model to obtain corresponding specific enthalpy, and inputting the refrigerant pressure and the refrigerant temperature into the second calculation model to obtain corresponding refrigerant density;
the preset energy consumption calculation model comprises at least one of a refrigeration real-time energy consumption ratio calculation model, a heating real-time energy consumption ratio calculation model, a power consumption calculation model, a refrigeration capacity calculation model and a heating capacity calculation model.
4. The energy consumption calculation method according to claim 3, wherein the first calculation model is established in a manner that: collecting the refrigerant pressure, the refrigerant temperature and the specific enthalpy of the air conditioning unit during operation as sample data, and fitting the refrigerant pressure, the refrigerant temperature and the corresponding specific enthalpy to establish the first calculation model;
the second calculation model is established in the following way: and obtaining a temperature-pressure-density comparison table of the refrigerant used by the air conditioning unit, screening out the refrigerant pressure, the refrigerant temperature and the corresponding refrigerant density, fitting and establishing the second calculation model.
5. The energy consumption calculation method according to claim 3, wherein the refrigeration real-time energy consumption ratio calculation model is: refrigeration real-time energy consumption ratio = ((H1-H3) ÷ (H2-H1)) × η; h1 is the specific enthalpy of the inlet of the compressor, H2 is the specific enthalpy of the outlet of the compressor, H3 is the specific enthalpy of the inlet of the indoor unit of the air conditioning unit, and eta is a correction coefficient;
the heating real-time energy consumption ratio calculation model is as follows: heating real-time energy consumption ratio = ((H1-H3) ÷ (H2-H1) + 1) × η; h1 is the specific enthalpy of the inlet of the compressor, H2 is the specific enthalpy of the outlet of the compressor, H3 is the specific enthalpy of the inlet of the indoor unit of the air conditioning unit, and eta is the correction coefficient.
6. The energy consumption calculation method according to claim 3, wherein the power consumption calculation model is: p = (H2-H1) × D1 × V × f × λ; h1 is the compressor inlet specific enthalpy, H2 is the compressor outlet specific enthalpy, D1 is the compressor inlet refrigerant density, V is the compressor displacement, f is the compressor operating frequency, and lambda is the correction coefficient.
7. The energy consumption calculation method according to claim 3, wherein the cooling capacity calculation model is: qCold= (H1-H3) × D1 × V × f × γ; h1 is the inlet specific enthalpy of the compressor, H3 is the inlet specific enthalpy of the indoor unit of the air conditioning unit, D1 is the inlet refrigerant density of the compressor, V is the displacement of the compressor, f is the running frequency of the compressor, and gamma is the correction coefficient.
8. The energy consumption calculation method according to claim 3, wherein the heating amount calculation model is: qHeat generation= ((H1-H3) × D1 × V × f × γ) + P, = (H2-H1) × D1 × V × f × λ; h1 is the inlet specific enthalpy of the compressor, H2 is the outlet specific enthalpy of the compressor, H3 is the inlet specific enthalpy of the indoor unit of the air conditioning unit, D1 is the inlet refrigerant density of the compressor, V is the displacement of the compressor, f is the running frequency of the compressor, and gamma and lambda are correction coefficients.
9. The energy consumption calculation method according to any one of claims 1 to 8, further comprising: uploading the key parameters and the theoretical energy consumption value to a server, establishing a data comparison table of the key parameters and standard energy consumption values by the server, acquiring corresponding standard energy consumption values from the data comparison table by the server according to the key parameters, calculating errors between the theoretical energy consumption values and the standard energy consumption values, and updating correction coefficients in the preset energy consumption calculation model.
10. The energy consumption calculation method according to any one of claims 1 to 8, further comprising: and inputting the energy parameters into a preset energy consumption calculation model to obtain a theoretical energy consumption value, and then sending the theoretical energy consumption value to a data bus of the electric appliance for energy-saving control of the electric appliance.
11. An energy consumption online computing system, comprising:
the energy efficiency acquisition device is used for capturing key parameters of the electric appliance during operation;
the energy efficiency metering module is established with a preset energy consumption computing model and a characteristic computing model of key parameters and energy parameters, the key parameters are input into the characteristic computing model to obtain corresponding energy parameters, and the energy parameters are input into the preset energy consumption computing model to obtain a theoretical energy consumption value.
12. The energy consumption online computing system of claim 11, further comprising:
the server is established with a data comparison table of the key parameters and standard energy consumption values;
the energy efficiency acquisition device and the energy efficiency metering device are arranged in the electric appliance, the energy efficiency metering device uploads the key parameters and the theoretical energy consumption value to the server, the server obtains corresponding standard energy consumption values from the data comparison table according to the key parameters, the error between the theoretical energy consumption value and the standard energy consumption value is calculated, and the correction coefficient in the preset energy consumption calculation model is updated.
13. The energy consumption online computing system of claim 11, wherein the energy efficiency metering module is connected to a data bus of the electrical appliance, and after the energy efficiency metering module calculates the theoretical energy consumption value, the energy efficiency metering module sends the theoretical energy consumption value to the data bus of the electrical appliance.
14. Air conditioning unit, characterized in that, the air conditioning unit adopts the online calculation system of energy consumption of any claim 11 to 13 to calculate energy consumption.
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