CN113806939A - Air conditioner model checking method, device and system - Google Patents

Air conditioner model checking method, device and system Download PDF

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CN113806939A
CN113806939A CN202111096504.4A CN202111096504A CN113806939A CN 113806939 A CN113806939 A CN 113806939A CN 202111096504 A CN202111096504 A CN 202111096504A CN 113806939 A CN113806939 A CN 113806939A
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verification
data set
air conditioner
air
model
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CN113806939B (en
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冯浩洋
杨雨瑶
潘峰
马键
黄友朋
蔡永智
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Guangdong Power Grid Co Ltd
Measurement Center of Guangdong Power Grid Co Ltd
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Guangdong Power Grid Co Ltd
Measurement Center of Guangdong Power Grid Co Ltd
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    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
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Abstract

The invention discloses a method, a device and a system for checking an air conditioner model. The checking device comprises a data acquisition unit, an implementation simulation unit and a calculation checking unit. The checking system comprises a model checking module, a data storage module and a user interaction module. The method, the device and the system improve the matching certainty of the built air-conditioning model and the implementation environment by carrying in implementation environment information of the environment to be implemented, the non-air-conditioning equipment energy consumption data set, the air-conditioning terminal equipment actual energy consumption curve and the non-electric equipment data set, performing simulation calculation on a first total load data set under the environment to be implemented on the first air-conditioning model to be verified, and verifying the first total load data set according to the time-lapse load data set to obtain a verification result.

Description

Air conditioner model checking method, device and system
Technical Field
The invention relates to the field of air conditioner model verification, in particular to a method, a device and a system for verifying an air conditioner model.
Background
At present, no matter whether a model with high accuracy is required to be established for simulating the cold and hot load of an air conditioning system or the energy consumption of a building, the actual operation stage or the energy-saving transformation stage of the building is very complicated, because the energy consumption of various electric equipment in the building is changed time by time and is very large in coming in and going out with design parameters, and model checking needs to be carried out on the time by time operation data, so that an accurate practically operable model checking method is indispensable.
In the prior art, a plurality of model verification methods can achieve the coincidence of total energy consumption data, for example, model verification is carried out on representative actual energy consumption data subjected to data mining to ensure the representativeness of the model, then according to relevant data such as regional control detailed planning, the social and economic development status and trend of the regional location and the service level and the use degree of urban buildings, scenario setting is carried out on factors influencing the building load and uncertain in the planning stage, the weight occupied by different scenarios is predicted, the typical building time-by-time load index of the comprehensive scenario is obtained through calculation, and the urban building group load is predicted through the area expansion of the regional level.
However, the prior art still has the following defects: the model does not necessarily conform to the building reality.
Therefore, there is a need for a method, an apparatus and a system for checking an air conditioner model, so as to solve the above problems in the prior art.
Disclosure of Invention
In view of the above technical problems, an object of the present invention is to provide a method, an apparatus and a system for verifying an air conditioner model, so as to improve the certainty of matching the built air conditioner model with an implementation environment.
The invention provides a method for verifying an air conditioner model, which comprises the following steps: acquiring a historical energy data set, a first air conditioner model to be verified and implementation environment information of an environment to be implemented; the historical energy consumption data set comprises a non-air-conditioning equipment energy consumption data set, a non-electric equipment data set, a time-by-time load data set and an actual energy consumption curve of air-conditioning terminal equipment; according to the first air conditioner model, the implementation environment information, the non-air-conditioning equipment energy consumption data set, the air conditioner terminal equipment actual energy consumption curve and the non-electric equipment data set, simulating and calculating a first total load data set of the environment to be implemented; and verifying the first total load data group according to the time-by-time load data group so as to obtain a verification result.
In an embodiment, the simulation calculating a first total load data set of the environment to be implemented according to the first air-conditioning model, the implementation environment information, the non-air-conditioning equipment energy consumption data set, the air-conditioning end equipment actual energy consumption curve, and the non-electric equipment data set specifically includes: according to the first air-conditioning model, the implementation environment information, the non-air-conditioning equipment energy consumption data set and the non-electric equipment data set, simulating and calculating an environmental load value of an environment to be implemented; and simulating and calculating a first total load data set of the environment to be implemented according to the actual energy consumption curve of the air conditioner terminal equipment and the environment load value.
In an embodiment, the verifying the first total load data group according to the time-by-time load data group to obtain a verification result specifically includes: calculating a check index group between the time-by-time load data group and the first total load data group; the check index set comprises a variation coefficient, a relative error and an average relative error; judging whether the variation coefficient, the relative error and the average relative error are correspondingly within a preset range of a check standard value set: if yes, the checking result is accurate; if not, the verification result is inaccurate.
In one embodiment, after the time-wise load data group is checked against the first total load data group to obtain a check result, the check method further includes: when the verification result is accurate, sending first prompt information to the user; the first prompt message comprises the checking result; when the verification result is inaccurate, sending second prompt information to the user; the second prompt information comprises the verification result, the verification index group and the deviation of the verification index group relative to a verification standard value.
In one embodiment, after the time-wise load data group is checked against the first total load data group to obtain a check result, the check method further includes: packaging the historical energy data group, the first air conditioner model, the implementation environment information, the environment load value, the first total load data group, the verification index group and the verification result into a first verification item, and storing the first verification item into a data storage module; when a retrieval and reference instruction of a user is received, one or more second check items comprising the index key words are searched in the data storage module according to the index key words included in the reference instruction, and a reference list is generated according to the second check items and displayed to the user; when a calling multiplexing instruction of a user is received, calling a third check item corresponding to the calling multiplexing instruction from the data storage module, and reading all data in the third check item.
The invention also provides a checking device of the air conditioner model, which comprises a data acquisition unit, an implementation simulation unit and a calculation checking unit, wherein the data acquisition unit is used for acquiring the historical energy data set, the first air conditioner model to be checked and the implementation environment information of the environment to be implemented; the historical energy consumption data set comprises a non-air-conditioning equipment energy consumption data set, a non-electric equipment data set, a time-by-time load data set and an actual energy consumption curve of air-conditioning terminal equipment; the implementation simulation unit is used for simulating and calculating a first total load data set of an environment to be implemented according to the first air conditioner model, the implementation environment information, the non-air-conditioning equipment energy consumption data set, the air-conditioning tail end equipment actual energy consumption curve and the non-electric equipment data set; and the calculation and verification unit is used for verifying the first total load data group according to the time-by-time load data group so as to obtain a verification result.
In one embodiment, the verification device of the air conditioner model further comprises a result prompting unit, and the result prompting unit is used for: when the verification result is accurate, sending first prompt information to the user; the first prompt message comprises the checking result; when the verification result is inaccurate, sending second prompt information to the user; the second prompt information comprises the verification result, the verification index group and the deviation of the verification index group relative to a verification standard value.
In one embodiment, the verification apparatus of the air-conditioning model further includes a reference multiplexing unit for: packaging the historical energy data group, the first air conditioner model, the implementation environment information, the environmental load value, the first total load data group, the verification index group and the verification result into a first verification item, and storing the first verification item into a data storage module; when a retrieval and reference instruction of a user is received, one or more second check items comprising the index key words are searched in the data storage module according to the index key words included in the reference instruction, and a reference list is generated according to the second check items and displayed to the user; when a calling multiplexing instruction of a user is received, calling a third check item corresponding to the calling multiplexing instruction from the data storage module, and reading all data in the third check item.
The invention also provides a checking system of the air conditioner model, which comprises a model checking module, a data storage module and a user interaction module, wherein the model checking module, the data storage module and the user interaction module are in communication connection with each other, and the data storage module is used for storing a historical energy-using data set, a first air conditioner model to be checked, implementation environment information of an environment to be implemented and a first checking item; the model checking module is used for executing the checking method of the air conditioner model, so that a checking result is obtained; the user interaction module is used for sending the first prompt message or the second prompt message to a user and sending a retrieval and reference instruction or a calling multiplexing instruction input by the user to the model verification module.
In one embodiment, the user interaction module is further configured to: responding to the operation of the user, selecting a plurality of first air conditioner models, corresponding historical energy utilization data sets and implementation environment information of the environment to be implemented in batches, and sending the implementation environment information to the model verification module, so that the model verification module sequentially verifies the plurality of first air conditioner models according to the selection sequence of the user, and correspondingly obtains a plurality of verification results.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
the invention provides a method, a device and a system for checking an air conditioner model, wherein a first air conditioner model to be checked is subjected to simulation calculation of a first total load data set under a to-be-implemented environment by bringing implementation environment information of the to-be-implemented environment, a non-air conditioner energy consumption data set, an air conditioner terminal equipment actual energy consumption curve and the non-electric equipment data set, and the first total load data set is checked according to the time-lapse load data set, so that a checking result is obtained.
Furthermore, the verification method, device and system for the air conditioner model provided by the invention also pack the historical energy data set corresponding to the obtained verification result, the first air conditioner model, the implementation environment information, the environmental load value, the first total load data set, the verification index set and the verification result into a first verification item, store the first verification item into a data storage module, and perform list display or call multiplexing on a second verification item or a third verification item corresponding to the instruction in the first verification item stored in the data storage module when receiving a retrieval lookup instruction or a call multiplexing instruction input by a user, thereby improving the efficiency of the verification of the similar model or the similar implementation environment.
Drawings
The invention will be further described with reference to the accompanying drawings, in which:
FIG. 1 illustrates a flow diagram of one embodiment of a method for verifying an air conditioning model in accordance with the present invention;
FIG. 2 is a flow chart illustrating another embodiment of a method for verifying an air conditioning model according to the present invention;
FIG. 3 is a block diagram illustrating an embodiment of a verification apparatus for an air conditioner model according to the present invention;
fig. 4 is a block diagram illustrating an embodiment of a verification system for an air conditioning model according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Detailed description of the preferred embodiment
The embodiment of the invention first describes a method for verifying an air conditioner model. Fig. 1 is a flowchart illustrating an embodiment of a method for verifying an air-conditioning model according to the present invention.
As shown in fig. 1, the method comprises the steps of:
and S1, acquiring the historical energy data set, the first air conditioner model to be verified and the implementation environment information of the environment to be implemented.
In order to improve the determinability of matching between the built air conditioner model and the implementation environment, the embodiment of the invention introduces various parameters in the environment to be implemented on the basis of the first air conditioner model, so that the real output value of the first air conditioner model in practical application can be more accurately simulated and calculated.
In this embodiment, each parameter in the environment to be implemented includes a historical energy consumption data set and implementation environment information of the environment to be implemented, where the historical energy consumption data set includes a non-air-conditioning equipment energy consumption data set, a non-electric equipment data set, a time-by-time load data set, and an actual energy consumption curve of an air-conditioning terminal device; and the implementation environment information comprises basic building information, external enclosure structure information and internal heat accumulator parameters. The hourly load data group is hourly load data of the air conditioner measured at each moment.
The non-air-conditioning equipment energy consumption data set refers to energy consumption values of electric equipment except for air conditioners in the environment to be implemented. In one embodiment, the non-air conditioning equipment energy consumption data set includes a maximum of the number of non-air conditioning equipment energy consumption data and the simultaneous usage factor. In one embodiment, the simultaneous usage factor is a ratio of the respective non-air conditioning energy consumption data to a maximum value of the non-air conditioning energy consumption data.
The non-power-consumption equipment data set refers to an influence value of factors which do not need power consumption in the environment to be implemented on air conditioning load. In one embodiment, the non-powered device data set includes a maximum value of the net inflow of personnel, a simultaneous room factor, a power of heat dissipation of personnel, a cold air infiltration amount, and a fresh air amount. In one embodiment, the ratio of the individual net human inflow to the maximum value of the net human inflow is taken at the same time in the room coefficient. In one embodiment, the heat dissipation power is obtained by selecting a sensible heat ratio, a latent heat ratio and a convective heat gain and a radiative heat gain ratio according to an ASHRAE Handbook. In one embodiment, the cold air permeation amount ranges from 0.1 to 0.5 times per hour (specifically, the cold air permeation amount is selected according to the building type and the partition area). In one embodiment, the fresh air volume needs to be set according to a fresh air design value of an actual air conditioning system.
In one embodiment, the infrastructure information includes geographic location, local weather parameters, building orientation, architectural envelope occlusion, and air condition set points within the air conditioning compartment. In one embodiment, the architectural orientation includes east, south, west, and north. In one embodiment, the local meteorological parameters include dry-bulb temperature, relative humidity, irradiance, wind speed, and wind direction. In one embodiment, the obstruction of the building envelope includes a window to wall ratio.
In one embodiment, the indoor air condition set points include: the indoor temperature is the weighted average temperature of a plurality of areas (the weighted average temperature obtained by weighted average calculation according to the return air temperature of the air-conditioning end equipment recorded by the central control system in the building), and the relative humidity is the weighted average relative humidity of a plurality of areas (the relative humidity obtained by weighted average calculation of recorded data of the relative humidity of indoor air of different air-conditioning areas of the central control system in the building).
Specifically, the calculation formula of the indoor temperature is as follows:
Figure BDA0003269217840000071
specifically, the calculation formula of the relative humidity is:
Figure BDA0003269217840000072
in the above-mentioned calculation formula,
Figure BDA0003269217840000073
represents the weighted average temperature (room temperature),
Figure BDA0003269217840000074
represents the weighted average relative humidity (relative humidity), TiReturn air temperature of air-conditioning end equipment, HiRelative humidity, V, of air in different air conditioning zonesiVolume of the conditioned space.
In one embodiment, the outer enclosure includes an exterior wall, an exterior window, an exterior door, a roof, and a floor, and the outer enclosure information includes thickness, thermal conductivity, density, and specific heat capacity of each layer of material of the outer enclosure.
In one embodiment, the internal thermal mass includes interior walls, floors, interior furniture, and trim (e.g., furniture, office desks, chairs, carpets, and books), and the internal thermal mass parameters include thickness, thermal conductivity, density, and specific heat capacity of the materials of the layers of the internal thermal mass. Since the heat storage capacity of the interior furniture and the decoration is weak, the parameters of the interior furniture and the decoration are ignored in the embodiment. It will be appreciated that internal furniture and upholstered internal thermal mass parameters may be taken into account when greater simulation accuracy is required and the computational effort of the apparatus for the simulation calculations is sufficient.
And S2, simulating and calculating a first total load data set of the environment to be implemented according to the first air conditioner model, the implementation environment information, the non-air-conditioning equipment energy consumption data set, the air-conditioning end equipment actual energy consumption curve and the non-electric equipment data set.
In order to verify whether the established first air conditioner model can accurately represent the actual space-time air conditioning load in the actual environment to be implemented, the invention provides a verification method of the air conditioner model, which carries out simulation calculation on a simulation space-time load value data set (hereinafter referred to as a "first total load data set") which is actually output by the first air conditioner model in the environment to be implemented by substituting implementation environment information of the environment to be implemented and historical energy data sets of other equipment in the implementation environment into the first air conditioner model so as to accurately verify the simulation space-time load value data set in the subsequent process.
In one embodiment, step S2 is specifically: according to the first air-conditioning model, the implementation environment information, the non-air-conditioning equipment energy consumption data set and the non-electric equipment data set, simulating and calculating an environmental load value of an environment to be implemented; and simulating and calculating a first total load data set of the environment to be implemented according to the actual energy consumption curve of the air conditioner terminal equipment and the environment load value.
According to the first air-conditioning model, the implementation environment information, the non-air-conditioning equipment energy consumption data set and the non-electric equipment data set, simulating and calculating an environmental load value of an environment to be implemented, specifically: setting air conditioning system tail end equipment in an energy plus mode according to autosize; and checking and setting the first air-conditioning model according to the implementation environment information, the non-air-conditioning equipment energy consumption data set and the non-electric equipment data set, and outputting an environment load value of the environment to be implemented through the first air-conditioning model after checking and setting.
According to the actual energy consumption curve of the air conditioner terminal equipment and the environmental load value, a first total load data set of the environment to be implemented is calculated in a simulation mode, and the method specifically comprises the following steps: and fitting three performance curves of the fan according to the actual energy consumption curve of the air conditioner terminal equipment and the environmental load value, and simulating and calculating a first total load data set of the environment to be implemented according to the three performance curves. In one embodiment, the three performance curves of the wind turbine include a wind turbine time-by-time power curve, a wind turbine coefficient of performance curve, and a wind turbine fractional load rate curve.
The hourly power calculation formula of the fan is as follows:
Powt_fan=COFP×Powt_fan_rated
specifically, the fan coefficient of performance calculation formula is as follows:
COFP=f0+f1(PLRF)+f2(PLRF)2+f3(PLRF)3
specifically, the partial load rate calculation formula of the fan is as follows:
Figure BDA0003269217840000091
in the above formula, Powt_fanThe method is characterized in that the hourly power (unit KW) of a fan in the tail end equipment of the air conditioning system is represented, the COFP represents the performance coefficient (namely the ratio of the fan power to the rated power under the partial load working condition) of the fan, and the Powt_fan_ratedThe rated power of the fan is represented, PLRF represents the partial load rate of the fan (namely the ratio of the air supply quantity of the fan to the rated air supply quantity under the partial load working condition), and delta Tt_fan_airRepresenting the difference between the temperature of the indoor point and the temperature of the air supply of the air-conditioning system, Ft_air_ratedAnd the rated air quantity of the fan is shown.
And S3, verifying the first total load data group according to the time-by-time load data group so as to obtain a verification result.
Specifically, calculating a check index group between the time-by-time load data group and the first total load data group; judging whether the variation coefficient, the relative error and the average relative error are correspondingly within a preset range of a check standard value set: if yes, the checking result is accurate; if not, the verification result is inaccurate. The set of check indicators includes a coefficient of variation, a relative error, and an average relative error. In one embodiment, the preset range of the checking standard value group includes: the standard value range of the coefficient of variation verification is less than 15%, the standard value range of the relative error and the average relative error is less than 10%, and when the verification index set correspondingly falls within the range of the preset verification standard value set, the model verification meets the requirements.
Specifically, the coefficient of variation CV is calculated as follows:
Figure BDA0003269217840000092
the relative error RE is calculated as follows:
Figure BDA0003269217840000093
the average relative error MRE is calculated as follows:
Figure BDA0003269217840000094
the invention provides a verification method of an air conditioner model, which comprises the steps of carrying in implementation environment information of an environment to be implemented, an energy consumption data group of non-air conditioning equipment, an actual energy consumption curve of air conditioner end equipment and a data group of the non-electric equipment, carrying out analog calculation on a first total load data group of the first air conditioner model to be verified in the environment to be implemented, and verifying the first total load data group according to the time-by-time load data group to obtain a verification result.
Detailed description of the invention
Furthermore, the embodiment of the invention also describes a verification method of the air conditioner model. Fig. 2 is a flowchart illustrating another embodiment of a method for verifying an air conditioner model according to the present invention.
As shown in fig. 2, the verification method includes the following steps:
a1, acquiring the historical energy data set, the first air conditioner model to be verified and the implementation environment information of the environment to be implemented.
In order to improve the determinability of matching between the built air conditioner model and the implementation environment, the embodiment of the invention introduces various parameters in the environment to be implemented on the basis of the first air conditioner model, so that the real output value of the first air conditioner model in practical application can be more accurately simulated and calculated.
In this embodiment, each parameter in the environment to be implemented includes a historical energy consumption data set and implementation environment information of the environment to be implemented, where the historical energy consumption data set includes a non-air-conditioning equipment energy consumption data set, a non-electric equipment data set, a time-by-time load data set, and an actual energy consumption curve of an air-conditioning terminal device; and the implementation environment information comprises basic building information, external enclosure structure information and internal heat accumulator parameters. The hourly load data group is hourly load data of the air conditioner measured at each moment.
The non-air-conditioning equipment energy consumption data set refers to energy consumption values of electric equipment except for air conditioners in the environment to be implemented. In one embodiment, the non-air conditioning equipment energy consumption data set includes a maximum of the number of non-air conditioning equipment energy consumption data and the simultaneous usage factor. In one embodiment, the simultaneous usage factor is a ratio of the respective non-air conditioning energy consumption data to a maximum value of the non-air conditioning energy consumption data.
The non-power-consumption equipment data set refers to an influence value of factors which do not need power consumption in the environment to be implemented on air conditioning load. In one embodiment, the non-powered device data set includes a maximum value of the net inflow of personnel, a simultaneous room factor, a power of heat dissipation of personnel, a cold air infiltration amount, and a fresh air amount. In one embodiment, the ratio of the individual net human inflow to the maximum value of the net human inflow is taken at the same time in the room coefficient. In one embodiment, the heat dissipation power is obtained by selecting a sensible heat ratio, a latent heat ratio and a convective heat gain and a radiative heat gain ratio according to an ASHRAE Handbook. In one embodiment, the cold air permeation amount ranges from 0.1 to 0.5 times per hour (specifically, the cold air permeation amount is selected according to the building type and the partition area). In one embodiment, the fresh air volume needs to be set according to a fresh air design value of an actual air conditioning system.
In one embodiment, the infrastructure information includes geographic location, local weather parameters, building orientation, architectural envelope occlusion, and air condition set points within the air conditioning compartment. In one embodiment, the architectural orientation includes east, south, west, and north. In one embodiment, the local meteorological parameters include dry-bulb temperature, relative humidity, irradiance, wind speed, and wind direction. In one embodiment, the obstruction of the building envelope includes a window to wall ratio.
In one embodiment, the indoor air condition set points include: the indoor temperature is the weighted average temperature of a plurality of areas (the weighted average temperature obtained by weighted average calculation according to the return air temperature of the air-conditioning end equipment recorded by the central control system in the building), and the relative humidity is the weighted average relative humidity of a plurality of areas (the relative humidity obtained by weighted average calculation of recorded data of the relative humidity of indoor air of different air-conditioning areas of the central control system in the building).
Specifically, the calculation formula of the indoor temperature is as follows:
Figure BDA0003269217840000111
specifically, the calculation formula of the relative humidity is:
Figure BDA0003269217840000112
in the above-mentioned calculation formula,
Figure BDA0003269217840000113
represents the weighted average temperature (room temperature),
Figure BDA0003269217840000114
represents the weighted average relative humidity (relative humidity), TiReturn air temperature of air-conditioning end equipment, HiRelative humidity, V, of air in different air conditioning zonesiVolume of the conditioned space.
In one embodiment, the outer enclosure includes an exterior wall, an exterior window, an exterior door, a roof, and a floor, and the outer enclosure information includes thickness, thermal conductivity, density, and specific heat capacity of each layer of material of the outer enclosure.
In one embodiment, the internal thermal mass includes interior walls, floors, interior furniture, and trim (e.g., furniture, office desks, chairs, carpets, and books), and the internal thermal mass parameters include thickness, thermal conductivity, density, and specific heat capacity of the materials of the layers of the internal thermal mass. Since the heat storage capacity of the interior furniture and the decoration is weak, the parameters of the interior furniture and the decoration are ignored in the embodiment. It will be appreciated that internal furniture and upholstered internal thermal mass parameters may be taken into account when greater simulation accuracy is required and the computational effort of the apparatus for the simulation calculations is sufficient.
A2, according to the first air conditioner model, the implementation environment information, the non-air-conditioning equipment energy consumption data set, the air-conditioning end equipment actual energy consumption curve and the non-electric equipment data set, simulating and calculating a first total load data set of the environment to be implemented.
In order to verify whether the established first air conditioner model can accurately represent the actual space-time air conditioning load in the actual environment to be implemented, the invention provides a verification method of the air conditioner model, which carries out simulation calculation on a simulation space-time load value data set (hereinafter referred to as a "first total load data set") which is actually output by the first air conditioner model in the environment to be implemented by substituting implementation environment information of the environment to be implemented and historical energy data sets of other equipment in the implementation environment into the first air conditioner model so as to accurately verify the simulation space-time load value data set in the subsequent process.
In one embodiment, step a2 is specifically: according to the first air-conditioning model, the implementation environment information, the non-air-conditioning equipment energy consumption data set and the non-electric equipment data set, simulating and calculating an environmental load value of an environment to be implemented; and simulating and calculating a first total load data set of the environment to be implemented according to the actual energy consumption curve of the air conditioner terminal equipment and the environment load value.
According to the first air-conditioning model, the implementation environment information, the non-air-conditioning equipment energy consumption data set and the non-electric equipment data set, simulating and calculating an environmental load value of an environment to be implemented, specifically: setting air conditioning system tail end equipment in an energy plus mode according to autosize; and checking and setting the first air-conditioning model according to the implementation environment information, the non-air-conditioning equipment energy consumption data set and the non-electric equipment data set, and outputting an environment load value of the environment to be implemented through the first air-conditioning model after checking and setting.
According to the actual energy consumption curve of the air conditioner terminal equipment and the environmental load value, a first total load data set of the environment to be implemented is calculated in a simulation mode, and the method specifically comprises the following steps: and fitting three performance curves of the fan according to the actual energy consumption curve of the air conditioner terminal equipment and the environmental load value, and simulating and calculating a first total load data set of the environment to be implemented according to the three performance curves. In one embodiment, the three performance curves of the wind turbine include a wind turbine time-by-time power curve, a wind turbine coefficient of performance curve, and a wind turbine fractional load rate curve.
The hourly power calculation formula of the fan is as follows:
Powt_fan=COFP×Powt_fan_rated
specifically, the fan coefficient of performance calculation formula is as follows:
COFP=f0+f1(PLRF)+f2(PLRF)2+f3(PLRF)3
specifically, the partial load rate calculation formula of the fan is as follows:
Figure BDA0003269217840000131
in the above formula, Powt_fanThe method is characterized in that the hourly power (unit KW) of a fan in the tail end equipment of the air conditioning system is represented, the COFP represents the performance coefficient (namely the ratio of the fan power to the rated power under the partial load working condition) of the fan, and the Powt_fan_ratedThe rated power of the fan is represented, PLRF represents the partial load rate of the fan (namely the ratio of the air supply quantity of the fan to the rated air supply quantity under the partial load working condition), and delta Tt_fan_airRepresenting the difference between the temperature of the indoor point and the temperature of the air supply of the air-conditioning system, Ft_air_ratedAnd the rated air quantity of the fan is shown.
A3, verifying the first total load data group according to the time-by-time load data group, thereby obtaining a verification result.
Specifically, calculating a check index group between the time-by-time load data group and the first total load data group; judging whether the variation coefficient, the relative error and the average relative error are correspondingly within a preset range of a check standard value set: if yes, the checking result is accurate; if not, the verification result is inaccurate. The set of check indicators includes a coefficient of variation, a relative error, and an average relative error. In one embodiment, the preset range of the checking standard value group includes: the standard value range of the coefficient of variation verification is less than 15%, the standard value range of the relative error and the average relative error is less than 10%, and when the verification index set correspondingly falls within the range of the preset verification standard value set, the model verification meets the requirements.
Specifically, the coefficient of variation CV is calculated as follows:
Figure BDA0003269217840000141
the relative error RE is calculated as follows:
Figure BDA0003269217840000142
the average relative error MRE is calculated as follows:
Figure BDA0003269217840000143
a4, packaging the historical energy data set, the first air conditioner model, the implementation environment information, the environment load value, the first total load data set, the verification index set and the verification result into a first verification item, and storing the first verification item into a data storage module.
In order to facilitate a user to retrieve and view the historically checked air conditioner model at any time in the future, after the steps A1-A3 are executed each time, all data in the checking process are packaged into a first checking item and stored into a data storage module.
A5, when a retrieval and reference instruction of a user is received, one or more second check items comprising the index key words are searched in the data storage module according to the index key words included in the reference instruction, and a reference list is generated according to the second check items and displayed to the user.
When a user needs to call and consult a certain check item or some check items, the user can consult all the first check items stored in the data storage module by inputting a search and consultation instruction comprising an index key word so as to call one or more second check items comprising the index key word or related to the index key word, and in order to facilitate the user to consult, the embodiment of the invention further generates a consultation list comprising all the second check items according to the one or more second check items in the call place so as to be used for the user to select one or more second check items to consult.
In one embodiment, the verification method further comprises: when a calling multiplexing instruction of a user is received, calling a third check item corresponding to the calling multiplexing instruction from the data storage module, and reading all data in the third check item.
When a certain or some air conditioner models with similar environments to be implemented or similar first air conditioner models in the data storage module need to be verified, a user can call a corresponding third verification item and read all data in a look-up list or the data storage module by sending a call multiplexing instruction, and then the user only needs to edit and modify different parts in the data according to the similar situation of the air conditioner models and the first air conditioner models in the data storage module and then verify, so that the multiplexing of the verification items can be realized, and the verification efficiency is improved.
In one embodiment, the verification method further comprises: when the verification result is accurate, sending first prompt information to the user; and when the verification result is inaccurate, sending second prompt information to the user. In one embodiment, the first prompt message includes the verification result; the second prompt information comprises the verification result, the verification index group and the deviation of the verification index group relative to a verification standard value.
The invention provides a verification method of an air conditioner model, which comprises the steps of carrying out analog calculation on a first total load data set under a to-be-verified environment by bringing implementation environment information of the to-be-implemented environment, a non-air conditioner equipment energy consumption data set, an air conditioner terminal equipment actual energy consumption curve and a non-electric equipment data set, and verifying the first total load data set according to a time-by-time load data set so as to obtain a verification result, wherein the determinacy of matching the built air conditioner model with the implementation environment is improved by the verification method; furthermore, the verification method of the air conditioner model provided by the invention also packages the historical energy data set, the first air conditioner model, the implementation environment information, the environment load value, the first total load data set, the verification index set and the verification result corresponding to the obtained verification result into a first verification item, stores the first verification item into the data storage module, and performs list display or call multiplexing on a second verification item or a third verification item corresponding to the instruction in the first verification item stored in the data storage module when receiving a retrieval lookup instruction or a call multiplexing instruction input by a user, thereby improving the efficiency of the similar model or the similar implementation environment verification.
Detailed description of the preferred embodiment
Besides the method, the embodiment of the invention also describes a verification device of the air conditioner model. Fig. 3 is a block diagram illustrating an embodiment of a verification apparatus for an air-conditioning model according to the present invention.
As shown in fig. 3, the verification apparatus includes a data acquisition unit 11, an implementation simulation unit 12, and a calculation verification unit 13.
The data acquisition unit 11 is configured to acquire the historical energy data set, the first air conditioner model to be verified, and the implementation environment information of the environment to be implemented. The historical energy consumption data set comprises a non-air-conditioning equipment energy consumption data set, a non-electric equipment data set, a time-by-time load data set and an actual energy consumption curve of air-conditioning terminal equipment.
The implementation simulation unit 12 is configured to calculate a first total load data set of the environment to be implemented in a simulation manner according to the first air-conditioning model, the implementation environment information, the non-air-conditioning equipment energy consumption data set, the air-conditioning end equipment actual energy consumption curve, and the non-electric equipment data set.
The calculation and verification unit 13 is configured to verify the first total load data group according to the time-by-time load data group, so as to obtain a verification result.
Specifically, when the first air conditioner model needs to be verified, the verifying device firstly obtains the historical energy data set, the first air conditioner model to be verified and the implementation environment information of the environment to be implemented through the data obtaining unit 11; then, simulating and calculating a first total load data set of the environment to be implemented by the implementation simulation unit 12 according to the first air conditioner model, the implementation environment information, the non-air-conditioning equipment energy consumption data set, the air-conditioning end equipment actual energy consumption curve and the non-electric equipment data set; finally, the calculation verification unit 13 verifies the first total load data group according to the time-by-time load data group, so as to obtain a verification result.
In one embodiment, the verification device of the air conditioner model further comprises a result prompting unit, and the result prompting unit is used for: when the verification result is accurate, sending first prompt information to the user; and when the verification result is inaccurate, sending second prompt information to the user. In one embodiment, the first prompt message includes the verification result; the second prompt information comprises the verification result, the verification index group and the deviation of the verification index group relative to a verification standard value.
In one embodiment, the verification apparatus of the air-conditioning model further includes a reference multiplexing unit for: packaging the historical energy data group, the first air conditioner model, the implementation environment information, the environment load value, the first total load data group, the verification index group and the verification result into a first verification item, and storing the first verification item into a data storage module; when a retrieval and reference instruction of a user is received, one or more second check items comprising the index key words are searched in the data storage module according to the index key words included in the reference instruction, and a reference list is generated according to the second check items and displayed to the user; when a calling multiplexing instruction of a user is received, calling a third check item corresponding to the calling multiplexing instruction from the data storage module, and reading all data in the third check item.
The invention provides a checking device of an air conditioner model, which carries out analog calculation of a first total load data set under a to-be-checked environment on a first air conditioner model by bringing implementation environment information of the to-be-implemented environment, a non-air conditioner equipment energy consumption data set, an air conditioner terminal equipment actual energy consumption curve and the non-electric equipment data set, and checks the first total load data set according to the time-by-time load data set so as to obtain a checking result, wherein the checking device improves the matching certainty of the built air conditioner model and the implementation environment; furthermore, the verification device of the air conditioner model further packages the historical energy data set, the first air conditioner model, the implementation environment information, the environmental load value, the first total load data set, the verification index set and the verification result corresponding to the obtained verification result into a first verification item, stores the first verification item into the data storage module, and performs list display or call multiplexing on a second verification item or a third verification item corresponding to the instruction in the first verification item stored in the data storage module when receiving a retrieval lookup instruction or a call multiplexing instruction input by a user, so that the efficiency of the similar model or the similar implementation environment verification is improved.
Detailed description of the invention
Besides the method and the device, the invention also describes a verification system of the air conditioner model. Fig. 4 is a block diagram illustrating an embodiment of a verification system for an air conditioning model according to the present invention.
As shown in fig. 4, the verification system includes a model verification module 1, a data storage module 2, and a user interaction module 3, wherein the model verification module 1, the data storage module 2, and the user interaction module 3 are communicatively connected to each other.
The data storage module 2 is used for storing a historical energy data set, a first air conditioner model to be verified, implementation environment information of an environment to be implemented and a first verification item.
The model checking module 1 is configured to execute the checking method of the air conditioner model, so as to obtain a checking result.
The user interaction module 3 is used for sending the first prompt message or the second prompt message to a user and sending a retrieval and reference instruction or a calling multiplexing instruction input by the user to the model checking module.
In one embodiment, in order to verify a plurality of first air conditioner models in batch to improve the verification efficiency, the user interaction module 3 is further configured to: responding to the operation of the user, selecting a plurality of first air conditioner models, corresponding historical energy utilization data sets and implementation environment information of the environment to be implemented in batches, and sending the implementation environment information to the model verification module, so that the model verification module sequentially verifies the plurality of first air conditioner models according to the selection sequence of the user, and correspondingly obtains a plurality of verification results.
The invention provides a verification system of an air conditioner model, which carries out analog calculation of a first total load data set under a to-be-verified environment on a first air conditioner model by bringing implementation environment information of the to-be-implemented environment, a non-air conditioner equipment energy consumption data set, an air conditioner terminal equipment actual energy consumption curve and a non-electric equipment data set, and verifies the first total load data set according to a time-by-time load data set so as to obtain a verification result, wherein the verification system improves the determinability of matching the built air conditioner model with the implementation environment; furthermore, the verification system of the air conditioner model provided by the invention also packages the historical energy data set, the first air conditioner model, the implementation environment information, the environmental load value, the first total load data set, the verification index set and the verification result corresponding to the obtained verification result into a first verification item, stores the first verification item into the data storage module, and performs list display or call multiplexing on a second verification item or a third verification item corresponding to the instruction in the first verification item stored in the data storage module when receiving a retrieval lookup instruction or a call multiplexing instruction input by a user, thereby improving the efficiency of the similar model or the similar implementation environment verification.
The above-mentioned embodiments are provided to further explain the objects, technical solutions and advantages of the present invention in detail, and it should be understood that the above-mentioned embodiments are only examples of the present invention and are not intended to limit the scope of the present invention. It should be understood that any modifications, equivalents, improvements and the like, which come within the spirit and principle of the invention, may occur to those skilled in the art and are intended to be included within the scope of the invention.

Claims (10)

1. A method for verifying an air conditioner model is characterized by comprising the following steps:
acquiring a historical energy data set, a first air conditioner model to be verified and implementation environment information of an environment to be implemented; the historical energy consumption data set comprises a non-air-conditioning equipment energy consumption data set, a non-electric equipment data set, a time-by-time load data set and an actual energy consumption curve of air-conditioning terminal equipment;
according to the first air conditioner model, the implementation environment information, the non-air-conditioning equipment energy consumption data set, the air conditioner terminal equipment actual energy consumption curve and the non-electric equipment data set, simulating and calculating a first total load data set of the environment to be implemented;
and verifying the first total load data group according to the time-by-time load data group so as to obtain a verification result.
2. The method for verifying an air conditioner model according to claim 1, wherein the step of calculating a first total load data set of the environment to be implemented in a simulation manner according to the first air conditioner model, the implementation environment information, the non-air-conditioning equipment energy consumption data set, the air-conditioning end equipment actual energy consumption curve, and the non-electric equipment data set specifically comprises:
according to the first air-conditioning model, the implementation environment information, the non-air-conditioning equipment energy consumption data set and the non-electric equipment data set, simulating and calculating an environmental load value of an environment to be implemented;
and simulating and calculating a first total load data set of the environment to be implemented according to the actual energy consumption curve of the air conditioner terminal equipment and the environment load value.
3. The method for verifying the air conditioner model according to claim 2, wherein the step-by-step load data group is used for verifying the first total load data group so as to obtain a verification result, and specifically comprises the following steps:
calculating a check index group between the time-by-time load data group and the first total load data group; the check index set comprises a variation coefficient, a relative error and an average relative error;
judging whether the variation coefficient, the relative error and the average relative error are correspondingly within a preset range of a check standard value set:
if yes, the checking result is accurate;
if not, the verification result is inaccurate.
4. The air conditioner model verification method of claim 3, wherein after the first total load data group is verified according to the time-by-time load data group, thereby obtaining a verification result, the verification method further comprises:
when the verification result is accurate, sending first prompt information to the user; the first prompt message comprises the checking result;
when the verification result is inaccurate, sending second prompt information to the user; the second prompt information comprises the verification result, the verification index group and the deviation of the verification index group relative to a verification standard value.
5. The verification method of an air conditioner model according to any one of claims 1 to 4, wherein after the verification of the first total load data group is performed according to the time-by-time load data group, thereby obtaining a verification result, the verification method further comprises:
packaging the historical energy data group, the first air conditioner model, the implementation environment information, the environment load value, the first total load data group, the verification index group and the verification result into a first verification item, and storing the first verification item into a data storage module;
when a retrieval and reference instruction of a user is received, one or more second check items comprising the index key words are searched in the data storage module according to the index key words included in the reference instruction, and a reference list is generated according to the second check items and displayed to the user;
when a calling multiplexing instruction of a user is received, calling a third check item corresponding to the calling multiplexing instruction from the data storage module, and reading all data in the third check item.
6. The checking device of the air conditioner model is characterized by comprising a data acquisition unit, an implementation simulation unit and a calculation checking unit, wherein,
the data acquisition unit is used for acquiring a historical energy data set, a first air conditioner model to be verified and implementation environment information of an environment to be implemented; the historical energy consumption data set comprises a non-air-conditioning equipment energy consumption data set, a non-electric equipment data set, a time-by-time load data set and an actual energy consumption curve of air-conditioning terminal equipment;
the implementation simulation unit is used for simulating and calculating a first total load data set of an environment to be implemented according to the first air conditioner model, the implementation environment information, the non-air-conditioning equipment energy consumption data set, the air-conditioning tail end equipment actual energy consumption curve and the non-electric equipment data set;
and the calculation and verification unit is used for verifying the first total load data group according to the time-by-time load data group so as to obtain a verification result.
7. The air conditioner model verification device according to claim 6, further comprising a result prompt unit, wherein the result prompt unit is configured to:
when the verification result is accurate, sending first prompt information to the user; the first prompt message comprises the checking result;
when the verification result is inaccurate, sending second prompt information to the user; the second prompt information comprises the verification result, the verification index group and the deviation of the verification index group relative to a verification standard value.
8. The verification apparatus of an air conditioning model according to claim 6 or 7, further comprising a reference multiplexing unit for:
packaging the historical energy data group, the first air conditioner model, the implementation environment information, the environmental load value, the first total load data group, the verification index group and the verification result into a first verification item, and storing the first verification item into a data storage module;
when a retrieval and reference instruction of a user is received, one or more second check items comprising the index key words are searched in the data storage module according to the index key words included in the reference instruction, and a reference list is generated according to the second check items and displayed to the user;
when a calling multiplexing instruction of a user is received, calling a third check item corresponding to the calling multiplexing instruction from the data storage module, and reading all data in the third check item.
9. A checking system of an air conditioner model is characterized by comprising a model checking module, a data storage module and a user interaction module, wherein the model checking module, the data storage module and the user interaction module are in communication connection with each other,
the data storage module is used for storing a historical energy consumption data set, a first air conditioner model to be verified, implementation environment information of an environment to be implemented and a first verification item;
the model checking module is used for executing the checking method of the air conditioner model according to any one of claims 1 to 5, so as to obtain a checking result;
the user interaction module is used for sending the first prompt message or the second prompt message to a user and sending a retrieval and reference instruction or a calling multiplexing instruction input by the user to the model verification module.
10. The system of claim 9, wherein the user interaction module is further configured to:
responding to the operation of the user, selecting a plurality of first air conditioner models, corresponding historical energy utilization data sets and implementation environment information of the environment to be implemented in batches, and sending the implementation environment information to the model verification module, so that the model verification module sequentially verifies the plurality of first air conditioner models according to the selection sequence of the user, and correspondingly obtains a plurality of verification results.
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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109740787A (en) * 2018-11-20 2019-05-10 第四范式(北京)技术有限公司 Training Building air conditioning load prediction model and the method and apparatus predicted with it
CN110276524A (en) * 2019-05-24 2019-09-24 华电电力科学研究院有限公司 A kind of building type distributed energy resource system Load Analytic Method of suitable planning stage
CN111507511A (en) * 2020-04-09 2020-08-07 茂盟(上海)工程技术股份有限公司 Comprehensive regional building group load prediction method and system
CN113111419A (en) * 2021-04-16 2021-07-13 西安建筑科技大学 Method and system for establishing and predicting air-conditioning load prediction model in office building

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109740787A (en) * 2018-11-20 2019-05-10 第四范式(北京)技术有限公司 Training Building air conditioning load prediction model and the method and apparatus predicted with it
CN110276524A (en) * 2019-05-24 2019-09-24 华电电力科学研究院有限公司 A kind of building type distributed energy resource system Load Analytic Method of suitable planning stage
CN111507511A (en) * 2020-04-09 2020-08-07 茂盟(上海)工程技术股份有限公司 Comprehensive regional building group load prediction method and system
CN113111419A (en) * 2021-04-16 2021-07-13 西安建筑科技大学 Method and system for establishing and predicting air-conditioning load prediction model in office building

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
潘毅群;黄治钟;吴刚;: "建筑能耗模拟的校验方法及其应用", 暖通空调, no. 07, pages 21 - 24 *

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