CN115754513A - Building air conditioner energy efficiency diagnosis system based on power consumption data - Google Patents
Building air conditioner energy efficiency diagnosis system based on power consumption data Download PDFInfo
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Abstract
The invention provides a building air conditioner energy efficiency diagnosis system based on power consumption data, which belongs to the technical field of energy efficiency monitoring and comprises the following steps: and selecting a detection area in the building, and starting an air conditioning system in the detection area. Measuring the change condition of the heat of each object in the detection area and the heat exchange condition between the detection area and the outside in a specific time period; and determining the energy loss value of each component in the air conditioning system. And adding the total heat change value and the energy loss value in the detection area, comparing the added result with the electric energy input into the air conditioning system, and judging the energy efficiency level of the air conditioning system. The building air conditioner energy efficiency diagnosis system based on the power consumption data can judge the energy transfer condition more accurately by analyzing the energy change in the detection area, so that the energy efficiency level diagnosis precision is higher, and the final data reference is stronger.
Description
Technical Field
The invention belongs to the technical field of energy efficiency monitoring, and particularly relates to a building air conditioner energy efficiency diagnosis system based on power consumption data.
Background
The air conditioner heating energy efficiency ratio is a ratio of the heating capacity of the air conditioner to the operating power, and is a parameter for measuring the heating performance of the air conditioner, and the higher the heating energy efficiency ratio is, the lower the power consumption of the air conditioner is. In the prior art, the air conditioner heating energy efficiency ratio is a nominal value marked on an air conditioner nameplate and is a ratio calculated according to the rated heating quantity and the rated power consumption in a rated state. However, in the actual use process of the air conditioner, the rated working condition is difficult to achieve due to the influence of the use environment.
Therefore, the nominal heating energy efficiency ratio on the air conditioner nameplate only can play a reference role in the actual use process, and the actual heating performance cannot be presented in real time. More importantly, in the operation process of the air conditioning system, heat exchange exists between the detection area and the surrounding environment, and meanwhile, objects in the detection area can also emit heat, so that the finally judged energy efficiency level of the air conditioner is not accurately judged, and the data reliability is not high.
Disclosure of Invention
The invention aims to provide a building air conditioner energy efficiency diagnosis system based on power consumption data, and aims to solve the problems that in the energy efficiency diagnosis process, heat exchange with the surrounding environment and the inside of a detection area causes inaccurate energy efficiency level judgment and low data reliability.
In order to realize the purpose, the invention adopts the technical scheme that: the building air conditioner energy efficiency diagnosis system based on the electricity consumption data comprises:
selecting a detection area in a building, and starting an air conditioning system in the detection area;
measuring the change condition of the heat of each object in the detection area and the heat exchange condition between the detection area and the outside in a specific time period; determining energy loss values of all components in the air conditioning system;
and adding the total heat change value and the energy loss value in the detection area, comparing the added result with the electric energy input into the air conditioning system, and judging the energy efficiency level of the air conditioning system.
In a possible implementation manner, the change of the heat of each object in the detection area and the heat exchange between the detection area and the outside further include:
and judging the heat quantity transferred to the detection area by each heating object in the detection area.
In a possible implementation manner, the change of the heat of each object in the detection area and the heat exchange between the detection area and the outside include:
determining the heat exchange condition between the detection area and the external environment of the building according to the temperature distribution, the illumination intensity, the wind speed, the illumination angle and the like of the outer side of the building;
and determining the corresponding heat exchange condition according to the temperature difference between the detection area and other areas of the building.
In a possible implementation manner, the change condition of the heat of each object in the detection area and the condition of heat exchange between the detection area and the outside are detected; determining the energy loss value of each component in the air conditioning system comprises:
and determining the temperature values of all points of all objects in the detection area through the thermal sensing probe.
In a possible implementation manner, the change situation of the heat of each object in the detection area and the situation of heat exchange between the detection area and the outside are detected; determining the energy loss value of each component in the air conditioning system comprises:
and carrying out equal-proportion modeling on all the objects in the detection area, and determining the change of the total energy of each object according to the data measured by the thermal probe.
In one possible implementation, the determining the change in the total energy of each object according to the data measured by the thermal sensor probe includes:
and comparing the heat exchange and change conditions with standard conditions, and analyzing main reasons influencing the energy efficiency level of the air conditioning system.
In one possible implementation manner, the determining the energy loss value of each component in the air conditioning system includes:
and summing the losses of all the components according to the operating efficiency and the actual operating condition of all the components in the air-conditioning system to obtain the energy loss value.
In one possible implementation, the adding the total value of the change in heat in the detection area and the energy loss value includes:
setting heat exchange between the detection area and the environment outside the building to be Q1, heat exchange between the detection area and another area inside the building to be Q2, the amount of heat generated by a heat-generating object in the detection area to be Q3, the energy loss value to be Q4, and a change in the amount of heat generated by a non-heat-generating object in the detection area to be Q5;
and adding the Q1, the Q2, the Q3, the Q4 and the Q5 to obtain a total heat change value.
In one possible implementation, the comparing the result of the addition with the power input to the air conditioning system includes:
setting the total input electric energy of the air conditioning system as Q0, subtracting the Q0 from the total heat change value and dividing the difference with the Q0, and taking the divided result as the energy efficiency level.
In one possible implementation, the setting of the change in the amount of heat within the detection area that does not generate heat from the object to be Q5 includes:
and determining the Q5 by combining the volume of the non-spontaneous heating object in the detection area and the change of the temperature values of all points.
The building air conditioner energy efficiency diagnosis system based on the power consumption data has the beneficial effects that: compared with the prior art, the building air-conditioning energy efficiency diagnosis system based on the power consumption data has the advantages that the detection area is located in the building, the air-conditioning system in the detection area is started during diagnosis, and the change condition of the heat of each object in the detection area, the heat exchange condition between the detection area and the outside and the energy loss value of each component in the air-conditioning system need to be determined in a specific time period for starting the air-conditioning system.
After the determination is completed, the total value of the heat change and the energy loss value in the detection area are added, and then the added result is compared with the electric energy input into the air conditioning system, so that the energy efficiency level of the air conditioner is judged. According to the energy transfer judgment method and device, the energy transfer condition is judged more accurately by analyzing the change of the energy in the detection area, so that the accuracy of energy efficiency level diagnosis is higher, and the reference of final data is stronger.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed for the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
Fig. 1 is a flowchart of a building air conditioner energy efficiency diagnosis system based on electricity consumption data according to an embodiment of the present invention.
Detailed Description
In order to make the technical problems, technical solutions and advantageous effects of the present invention more clearly understood, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, a system for diagnosing energy efficiency of an air conditioner for a building based on power consumption data according to the present invention will now be described. Building air conditioner energy efficiency diagnostic system based on power consumption data includes:
and selecting a detection area in the building, and starting an air conditioning system in the detection area.
Measuring the change condition of the heat of each object in the detection area and the heat exchange condition between the detection area and the outside in a specific time period; and determining the energy loss value of each component in the air conditioning system.
And adding the total heat change value and the energy loss value in the detection area, comparing the added result with the electric energy input into the air conditioning system, and judging the energy efficiency level of the air conditioning system.
The building air conditioner energy efficiency diagnosis system based on the power consumption data has the beneficial effects that: compared with the prior art, the building air-conditioning energy efficiency diagnosis system based on the power consumption data has the advantages that the detection area is located in the building, the air-conditioning system in the detection area is started during diagnosis, and the change condition of the heat of each object in the detection area, the heat exchange condition between the detection area and the outside and the energy loss value of each component in the air-conditioning system need to be determined in a specific time period for starting the air-conditioning system.
After the determination is completed, the total value of the heat change and the energy loss value in the detection area are added, and then the added result is compared with the electric energy input into the air conditioning system, so that the energy efficiency level of the air conditioner is judged. According to the method and the device, the energy transfer condition is judged more accurately by analyzing the change of the energy in the detection area, so that the accuracy of energy efficiency level diagnosis is higher, and the reference of final data is stronger.
With the rapid development of economy and improvement of living standard of people in China, the problems of environment and resources are generally concerned by various social circles, and energy conservation and emission reduction are particularly urgent. The central air-conditioning system is a building with large energy consumption, generally has low operation energy efficiency and has a large energy-saving space. Generally, a certain energy-saving effect can be achieved by adopting an automatic control means, but the existing automatic control products control the on-off of a refrigerating machine of a refrigerating station and a water pump, a cooling tower and the like matched with the refrigerating machine through general experience to realize unattended operation, so that the aim of saving more energy than manual on-off equipment is achieved, and the energy-saving benefit is small.
In the face of energy crisis, building energy conservation is gradually paid attention by various countries, the energy consumption of a building air conditioning system occupies a large proportion in the building operation energy consumption, and the air conditioning system has various devices and complex composition, and can be operated in a low-energy-efficiency state for a long time due to slight carelessness in the design, construction and debugging stages, so that the improvement of the energy efficiency level of the building air conditioning system is an important measure for reducing the energy consumption waste of the building.
The monitoring and diagnosis of the operation state of the building air conditioning system can timely find the abnormal energy consumption of the building air conditioning system, and help building managers to timely adjust and reduce energy waste. However, in practical engineering, monitoring of the building air conditioning system is mostly limited to measuring the power consumption value of the building air conditioning system, and due to construction, measuring instruments and the like, there are few good metering data for accurately acquiring other operating parameters.
Meanwhile, because the cold and heat load of the building changes along with the outdoor meteorological parameters, and the output quantity of the cold and heat quantity is related to the rated energy efficiency of the air conditioning subsystem, under the condition of no cold and heat quantity data, the energy efficiency state of the air conditioning subsystem cannot be obtained only by the electricity consumption, and the energy efficiency diagnosis cannot be carried out on the energy efficiency state. Therefore, a method for diagnosing the operating state of the air conditioning system in real time by using the power consumption data acquired by the existing building air conditioning power consumption metering system is constructed, and the method can be used for positioning the position and the occurrence time of a low energy efficiency point, which is very beneficial and necessary for reducing unnecessary energy waste in the air conditioning system.
At present, the technical transformation of air conditioning equipment, PLC intelligent control, variable air volume and variable water volume fuzzy control and the like are main means of a central air conditioning energy-saving technology. However, the coordinated operation technology of the central air-conditioning system equipment is complex, the operation environment parameters are variable, the ideal energy-saving effect can be achieved only by comprehensively considering the technical factors of all links of the system, the transformation and control scheme is only carried out by experience, scientific data basis is lacked, and what energy-saving target can be achieved and scientific prediction cannot be achieved, so that the energy-saving effect is little, the fault diagnosis of the automatic control equipment of the existing central air-conditioning system can ensure the normal operation of the central air-conditioning system, but can not provide help for the efficient energy-saving operation of the central air-conditioning system.
In some embodiments of the building air conditioner energy efficiency diagnosis system based on electricity consumption data, detecting a change of heat of each object in the area and detecting a heat exchange between the area and the outside further include:
and judging the heat quantity transferred to the detection area by each heating object in the detection area.
The energy efficiency of the existing air conditioning system is mainly focused on electricity consumption, the reality is that although the electricity consumption can represent the operation condition of an air conditioner to a certain extent, one part of electric energy input to the air conditioning system is converted into refrigerating capacity and heating capacity, the other part of the electric energy is also converted into vibration energy, wind energy and heat energy, the vibration energy, the wind energy and the heat energy exist in loss forms under normal conditions, and if the factors in the aspect are not considered, the energy efficiency of the air conditioning system cannot be accurately evaluated.
In the prior art, the heating capacity and the cooling capacity are calculated by detecting the temperature and the wind speed of the wind discharged from the air outlet of the air conditioner, and then the energy efficiency of the air conditioner is evaluated to a certain extent according to the power consumption.
Therefore, the heat exchange between the building detection area and the external environment, the heat exchange between the detection area and the interior of the building and the heat generated by each object in the detection area to the detection area in the time period of the operation of the air conditioning system need to be calculated, and the flow direction of the heat can be completely analyzed and summarized through the analysis.
In some embodiments of the building air conditioner energy efficiency diagnosis system based on electricity consumption data provided by the present application, detecting a change of heat of each object in the area and detecting a heat exchange between the area and the outside includes:
and determining the heat exchange condition between the detection area and the external environment of the building according to the temperature distribution, the illumination intensity, the wind speed, the illumination angle and the like of the outer side of the building.
And determining the corresponding heat exchange condition according to the temperature difference between the detection area and other areas of the building.
In summer, the air conditioning system can discharge air with lower temperature into the building, and in winter, the air conditioning system can discharge air with higher temperature into the building, so that the building is finally ensured to be at a proper temperature. In summer and winter, because the indoor temperature and the external environment have different temperatures, heat is transferred between the interior and the exterior of the building, if the influence of the outdoor environment on the energy efficiency of the air conditioning system is not considered, the final result is inevitably inaccurate, and meanwhile, even if the temperature is detected at the air outlet of the air conditioner through the temperature sensor, the temperature value detected by the temperature sensor is also influenced by the temperature in the building.
In order to avoid the above-described problems, it is necessary in the present application to determine the generation and exchange of heat present inside and outside the detection region. In order to achieve the above effects, it is necessary to determine the temperature distribution, illumination intensity, wind speed and illumination angle outside the building, measure the temperature of the building outer wall, measure whether there is heat transfer between the detection area and the building environment, and finally determine the heat absorption and heat dissipation of all objects in the detection area.
It should be noted that there may be multiple detection areas in a building or one detection area, and if the detection area is set as a bedroom, it is necessary to determine the heat transfer between the bedroom and the living room or other bedrooms.
In some embodiments of the building air conditioner energy efficiency diagnosis system based on electricity consumption data, a change situation of heat of each object in a detection area and a situation of heat exchange between the detection area and the outside are detected; determining the energy loss value of each component in the air conditioning system comprises:
and determining the temperature values of all points of all objects in the detection area through the thermal sensing probe.
In order to accurately analyze the distribution of heat, temperature sensors are mounted on the outer surface of a building detection area, and the inner surface and the outer surface of a wall in each direction of the detection area.
The heat transfer between the detection area and the outside can be judged by the sensors at different positions, but because the sensors are installed on the wall, the windows on the detection area are also important ways for heat transmission. For this reason, a heat sensing probe may be installed in the detection region, a temperature value of each object in the window and the detection region may be detected by the heat sensing probe, and whether the corresponding object absorbs heat or dissipates heat may be analyzed by the detected temperature value, and a heat value absorbed and a heat value dissipated may be determined by a difference in temperature.
In some embodiments of the building air conditioner energy efficiency diagnosis system based on electricity consumption data provided by the present application, a change condition of heat of each object in a detection area and a condition of heat exchange between the detection area and the outside are detected; determining the energy loss values of the components in the air conditioning system comprises:
and carrying out equal-proportion modeling on all objects in the detection area, and determining the change of the total energy of each object according to the data measured by the thermal probe.
In order to determine the heat absorption and heat dissipation of each object in the detection area, the object in the detection area may be modeled in advance, but it is particularly noted that different objects have different heat absorption and heat dissipation levels. In order to analyze the total heat absorbed and dissipated by different objects, separate analyses for different objects are required.
Firstly, for an object which does not generate heat per se, in order to analyze the heat absorbed or emitted by the object, after the air-conditioning system operates in a closed manner for a period of time, the change condition of the temperature values of all the parts of the object can be measured through the thermal sensing probe, the volume of the model after modeling is the same as that of the actual object, and the total heat change of the object can be analyzed through the determined temperature values of all the points and the volume of all the parts in the model.
For an object which generates heat by itself, the temperature of each surface of the object is measured by the heat sensing probe in the same time period, and then the amount of heat dissipated in the time period is calculated by the external surface area of the object.
In some embodiments of the building air conditioner energy efficiency diagnosis system based on electricity consumption data provided by the present application, determining the change of the total energy of each object according to the data measured by the thermal sensing probe includes:
and comparing the heat exchange and change conditions with standard conditions, and analyzing main reasons influencing the energy efficiency level of the air conditioning system.
The device in the air conditioning system mainly comprises an outdoor fan, an indoor fan, a compressor, a condenser, an evaporator and the like, wherein the outdoor fan is used for enabling the coil pipe to exchange heat in the external environment, the indoor fan is used for enabling the coil pipe to exchange heat in the internal environment, namely, the outdoor fan, the indoor fan, the compressor, the condenser and the evaporator are used for achieving indoor and outdoor heat transfer, and the purpose of operation of the device is to ensure continuous and stable heat transfer.
It should be noted, however, that the above components all have their own efficiency during operation, i.e. the devices all have energy losses during operation, in the case of a compressor, the energy input into the compressor is converted more into kinetic energy, while the rest is converted into noise, vibration and heat.
The continuous operation of the air conditioning system requires the continuous operation of the above components, but if the above components are operated at too low efficiency, the loss of energy is increased without any doubt. For more accurate analysis, it is necessary to determine the operating efficiency of all components and then determine how much energy is lost. The more energy is lost, the lower the energy efficiency of the entire air conditioning system.
In some embodiments of the building air conditioner energy efficiency diagnosis system based on electricity consumption data provided by the present application, determining the energy loss value of each component in the air conditioning system includes:
and summing the losses of all the components to obtain an energy loss value according to the operating efficiency and the actual operating condition of all the components in the air conditioning system.
In order to accurately judge the energy efficiency level of the air conditioner, it is necessary to analyze in which direction the energy sources input into the air conditioner are all applied. The energy transferred to the detection area by the external environment is set to be Q1, the heat transfer between the detection area and other areas in the building is set to be Q2, the heat productivity of objects in the detection area is set to be Q3, the energy loss of each part in the air conditioning system is set to be Q4, the energy of air, objects, walls and the like in the detection area can be changed, and the numerical value of the energy change is represented as Q5 at the moment.
And the energy input into the air conditioning system is known and is represented by Q0, and the change of the energy of the air conditioning system in a period of time is obtained by sequentially adding Q1, Q2, Q3, Q4 and Q5.
In some embodiments of the building air conditioner energy efficiency diagnosis system based on electricity consumption data provided by the present application, adding the total value of the change in heat and the energy loss value in the detection area includes:
the heat exchange between the detection area and the environment outside the building is set to Q1, the heat exchange between the detection area and other areas in the building is set to Q2, the amount of heat generated by the heat generating object in the detection area is set to Q3, the energy loss value is set to Q4, and the change in the amount of heat not generated by the heat generating object in the detection area is set to Q5.
And adding Q1, Q2, Q3, Q4 and Q5 to obtain a total heat quantity change value.
Before the judgment of the air conditioning energy efficiency is carried out, the temperature of the wall and objects in the detection area needs to be measured through related equipment such as a thermal sensing probe, wherein the objects comprise structures which cannot generate heat per se, such as windows, beds and wardrobes. And after the surface temperature of the object is determined, calculating the initial energy of the current wall and the object. And then the air conditioning system is pricked up to run for a certain time, the temperature value of each surface is calculated again, and finally Q5 is represented through the temperature difference and the change of the corresponding volume.
During actual calculation, the object can be divided into a plurality of unit blocks, and the total energy of the unit blocks can be known as the temperature values are similar, so that the initial energy can be determined finally. And after the air conditioning system operates for a corresponding time, calculating the total energy of the unit blocks again, and subtracting the energy values of the front unit block and the rear unit block to obtain the difference Q5.
In some embodiments of the building air conditioning energy efficiency diagnosis system based on electricity consumption data provided by the present application, comparing the added result with the electric energy input to the air conditioning system includes:
setting the total input electric energy of the air conditioning system as Q0, subtracting the Q0 from the total heat change value and dividing the difference with the Q0, and taking the division result as the energy efficiency level.
The addition of Q1 to Q5 shows the heat change and the energy loss in the detection area, Q0 is differentiated from the energy obtained by the addition, the final result can be understood as the heat change of the air in the detection area, namely, the differentiated value can visually show the heating capacity and the refrigerating capacity actually felt by a user, and the energy is the most visual data of the heat preservation performance of the beam detection area and the energy efficiency of the air conditioning system.
In some embodiments of the building air conditioner energy efficiency diagnosis system based on electricity consumption data provided by the present application, setting the change in heat quantity of the non-self-heating object in the detection area to Q5 includes:
and determining Q5 by combining the volume of the non-spontaneous heating object in the detection area and the change of the temperature values of all points.
In the standard case, normal values of heat exchange in the actual detection and diagnosis process are recorded, actual measurement is compared with that recorded in the standard case, and if the ratio of a certain value is too high, the corresponding heat exchange is more.
Taking Q1 as an example, if the heat of Q1 is higher than the standard case, it indicates that more heat in the external environment is transmitted into the detection area, indicating that the thermal insulation structure between the detection area and the building has poor performance. The energy level is adjusted by comparing the pertinence.
The present invention is not limited to the above preferred embodiments, and any modifications, equivalent substitutions and improvements made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. Building air conditioner energy efficiency diagnostic system based on power consumption data, characterized by includes:
selecting a detection area in a building, and starting an air conditioning system in the detection area;
measuring the change condition of the heat of each object in the detection area and the heat exchange condition between the detection area and the outside in a specific time period; determining energy loss values of all components in the air conditioning system;
and adding the total heat change value and the energy loss value in the detection area, comparing the added result with the electric energy input into the air conditioning system, and judging the energy efficiency level of the air conditioning system.
2. The building air conditioning energy efficiency diagnosis system based on electricity consumption data according to claim 1, wherein the change of heat of each object in the detection area and the heat exchange between the detection area and the outside further comprise:
and judging the heat quantity transferred to the detection area by each heating object in the detection area.
3. The building air conditioning energy efficiency diagnosis system based on electricity consumption data according to claim 1, wherein the change of heat of each object in the detection area and the heat exchange between the detection area and the outside comprise:
determining the heat exchange condition between the detection area and the external environment of the building according to the temperature distribution, the illumination intensity, the wind speed, the illumination angle and the like of the outer side of the building;
and determining the corresponding heat exchange condition according to the temperature difference between the detection area and other areas of the building.
4. The building air conditioning energy efficiency diagnosis system based on electricity consumption data according to claim 3, wherein the change condition of the heat of each object in the detection area and the condition of heat exchange between the detection area and the outside are detected; determining the energy loss value of each component in the air conditioning system comprises:
and determining the temperature values of all points of all objects in the detection area through the thermal sensing probe.
5. The building air conditioner energy efficiency diagnosis system based on electricity consumption data according to claim 4, wherein the change condition of the heat of each object in the detection area and the condition of heat exchange between the detection area and the outside; determining energy loss values of components in the air conditioning system comprises:
and carrying out equal-proportion modeling on all the objects in the detection area, and determining the change of the total energy of each object according to the data measured by the thermal probe.
6. The building air conditioner energy efficiency diagnosis system based on electricity consumption data as claimed in claim 5, wherein the determining the change of the total energy of each object according to the data measured by the heat sensing probe comprises:
and comparing the heat exchange and change conditions with standard conditions, and analyzing main reasons influencing the energy efficiency level of the air conditioning system.
7. The building air conditioning energy efficiency diagnosis system based on electricity consumption data according to claim 4, wherein the determining the energy loss value of each component in the air conditioning system comprises:
and summing the losses of all the components according to the operating efficiency and the actual operating condition of all the components in the air conditioning system to obtain the energy loss value.
8. The building air conditioning energy efficiency diagnostic system based on electricity consumption data according to claim 7, wherein the adding the total value of the change in heat in the detection area and the energy loss value includes:
setting the heat exchange between the detection area and the environment outside the building to be Q1, the heat exchange between the detection area and other areas in the building to be Q2, the heat generation amount of the heat-generating object in the detection area to be Q3, the energy loss value to be Q4, and the heat change of the heat-non-self-generating object in the detection area to be Q5;
and adding the Q1, the Q2, the Q3, the Q4 and the Q5 to obtain a total heat change value.
9. The building air conditioning energy efficiency diagnosis system based on electricity consumption data according to claim 8, wherein the comparing the added result with the electric energy inputted to the air conditioning system includes:
setting the total input electric energy of the air conditioning system as Q0, subtracting the Q0 from the total heat change value and dividing the difference with the Q0, and taking the divided result as the energy efficiency level.
10. The building air conditioning energy efficiency diagnosis system based on electricity consumption data according to claim 9, wherein the setting of the change in heat quantity of the non-self-heating object in the detection area to Q5 includes:
and determining the Q5 by combining the volume of the non-spontaneous heating object in the detection area and the change of the temperature values of all points.
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| CN116840605A (en) * | 2023-08-28 | 2023-10-03 | 北京英沣特能源技术有限公司 | Efficient refrigeration machine room energy efficiency prediction method |
| CN116840605B (en) * | 2023-08-28 | 2023-11-17 | 北京英沣特能源技术有限公司 | Efficient refrigeration machine room energy efficiency prediction method |
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