CN111625938B - Optimal operation assessment method and device for underground water source heat pump - Google Patents
Optimal operation assessment method and device for underground water source heat pump Download PDFInfo
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Abstract
The invention is suitable for the technical field of heat pump working condition analysis, and provides an optimal operation assessment method and device of a ground water source heat pump, wherein the method comprises the following steps: variable data of the heat pump are obtained; performing data processing on the variable data to obtain processed data; calculating an energy efficiency ratio according to the processed data; fitting a load parameter-secondary side water supply temperature-energy efficiency ratio curved surface according to the energy efficiency ratio and the processed data; and determining the optimal secondary side water supply temperature according to the load parameter, the secondary side water supply temperature and the energy efficiency ratio surface to serve as the optimal operation parameter of the heat pump. According to the invention, the energy efficiency ratio is fitted with the corresponding load parameter and the secondary side water supply temperature to form a three-dimensional curved surface, so that the optimal secondary side water supply temperature can be determined, and thus, more accurate adjustment parameters are set in a feedback manner, and the optimal operation of the heat pump is effectively guided. The method has the advantages of high precision, automatic real-time calculation and no interference with normal production operation, and can completely overcome the defects of the traditional method.
Description
Technical Field
The invention belongs to the technical field of heat pump working condition analysis in distributed energy sources, and particularly relates to an optimal operation evaluation method and device of a groundwater source heat pump.
Background
The underground water source heat pump is widely applied to the fields of industry and resident summer refrigeration and winter heating, has the advantages of high efficiency, energy conservation, low running cost and the like, and is preferentially used in the field of distributed energy sources. The current distributed energy field generally uses an energy efficiency ratio (generally referred to as a refrigeration energy efficiency ratio is EER, and referred to as a heating energy efficiency ratio is COP) as an index for evaluating the energy efficiency of the gas boiler, and is classified into a refrigeration energy efficiency ratio and a heating energy efficiency ratio according to the summer and winter operation modes.
Taking ground water source heat pump refrigeration as an example, the EER obtained by conventional methods is typically calculated by the amount of refrigeration per unit time per total ground water source heat pump power consumption per unit time. The energy efficiency ratio under different load ratios is calculated, so that a load ratio-energy efficiency model of the underground water source heat pump can be obtained. However, since the conversion efficiency of the ground water source heat pump plate change is significantly affected by the secondary side water supply temperature, the energy efficiency of the ground water source heat pump is highly correlated not only with the load factor but also with the secondary side water supply temperature. In particular, in the refrigeration mode, the typical method is not effectively embodied in the difference of the energy efficiency ratio of the underground water source heat pump under the operation conditions of different secondary side water supply temperatures. Therefore, the conventional method cannot know how the optimal secondary side water supply temperature should be set so that the energy efficiency ratio is highest at a specific load rate, and thus cannot guide the optimal operation.
Disclosure of Invention
In view of the above, the embodiment of the invention provides an optimal operation evaluation method and device for a ground water source heat pump, which introduces secondary side water supply temperature combination analysis so as to determine the optimal secondary side water supply temperature under the same load parameter to guide optimal operation.
A first aspect of an embodiment of the present invention provides a method for evaluating an optimal operation of a groundwater source heat pump, including:
variable data of the heat pump are obtained;
performing data processing on the variable data to obtain processed data;
calculating an energy efficiency ratio according to the processed data;
fitting a load parameter-secondary side water supply temperature-energy efficiency ratio curved surface according to the energy efficiency ratio and the processed data;
and determining the optimal secondary side water supply temperature according to the load parameter, the secondary side water supply temperature and the energy efficiency ratio curved surface, and taking the optimal secondary side water supply temperature as the optimal operation parameter of the heat pump.
A second aspect of an embodiment of the present invention provides an optimal operation evaluation apparatus of a groundwater source heat pump, including:
the data acquisition module is used for acquiring variable data of the heat pump;
the data processing module is used for carrying out data processing on the variable data to obtain processed data;
the calculation module is used for calculating the energy efficiency ratio according to the processed data;
the curve fitting module is used for fitting a load parameter-secondary side water supply temperature-energy efficiency ratio curve according to the energy efficiency ratio and the processed data;
and the optimal evaluation module is used for determining the optimal secondary side water supply temperature according to the load parameter, the secondary side water supply temperature and the energy efficiency ratio surface, and taking the optimal secondary side water supply temperature as the optimal operation parameter of the heat pump.
A third aspect of the embodiments of the present invention provides a terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the above method when executing the computer program.
A fourth aspect of the embodiments of the present invention provides a computer readable storage medium storing a computer program which, when executed by a processor, implements the steps of the above method.
Compared with the prior art, the embodiment of the invention has the beneficial effects that:
according to the embodiment of the invention, the energy efficiency ratio is combined with the corresponding load parameter and secondary side water supply temperature for analysis, the three-dimensional data is fitted to form a three-dimensional curved surface, and the optimal secondary side water supply temperature can be determined from the three-dimensional curved surface, so that more accurate adjustment parameters are set in a feedback manner, and the optimal operation of the heat pump is effectively guided. The method has the advantages of high precision, automatic real-time calculation and no interference with normal production operation, and can completely overcome the defects of the traditional method.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the embodiments or the description of the prior art 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 other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of an evaluation method for the optimal operation of a groundwater source heat pump according to an embodiment of the invention;
fig. 2 is a schematic flow chart of data processing on the variable data to obtain processed data in the method for evaluating the optimal operation of the underground water source heat pump according to the first embodiment of the present invention;
FIG. 3 is a schematic flow chart of obtaining delay time in the method for evaluating the optimal operation of the groundwater source heat pump according to the first embodiment of the invention;
FIG. 4 is a schematic flow chart of a load parameter-secondary side water supply temperature-energy efficiency ratio curve fitting according to the energy efficiency ratio and the processed data in the method for evaluating the optimal operation of the underground water source heat pump according to the first embodiment of the invention;
FIG. 5 is a schematic flow chart of determining an optimal secondary side water supply temperature as an optimal operation parameter of the heat pump according to the load parameter-secondary side water supply temperature-energy efficiency ratio curve in the method for evaluating the optimal operation of the underground water source heat pump according to the first embodiment of the present invention;
FIG. 6 is a flow chart of an evaluation method for optimal operation of a groundwater source heat pump according to a second embodiment of the invention;
FIG. 7 is a schematic diagram of an apparatus for evaluating the optimal operation of a groundwater source heat pump according to an embodiment of the invention;
FIG. 8 is a schematic diagram of delay times provided by an embodiment of the present invention;
fig. 9 is a schematic diagram of a terminal device provided in an embodiment of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth such as the particular system architecture, techniques, etc., in order to provide a thorough understanding of the embodiments of the present invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail. All other embodiments, which are obtained by a person skilled in the art based on the described embodiments of the invention, fall within the scope of protection of the invention. The technical means used in the examples are conventional means well known to those skilled in the art unless otherwise indicated.
It should be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in this specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.
As used in this specification and the appended claims, the term "if" may be interpreted as "when..once" or "in response to a determination" or "in response to detection" depending on the context. Similarly, the phrase "if a determination" or "if a [ described condition or event ] is detected" may be interpreted in the context of meaning "upon determination" or "in response to determination" or "upon detection of a [ described condition or event ]" or "in response to detection of a [ described condition or event ]".
In order to illustrate the technical scheme of the invention, the following description is made by specific examples.
Embodiment one:
referring to fig. 1, an embodiment of the present invention provides a method for evaluating the optimal operation of a groundwater source heat pump, including:
step S11: variable data of the heat pump are obtained;
step S12: performing data processing on the variable data to obtain processed data;
step S13: calculating an energy efficiency ratio according to the processed data;
step S14: fitting a load parameter-secondary side water supply temperature-energy efficiency ratio curved surface according to the energy efficiency ratio and the processed data;
step S15: and determining the optimal secondary side water supply temperature according to the load parameter, the secondary side water supply temperature and the energy efficiency ratio curved surface, and taking the optimal secondary side water supply temperature as the optimal operation parameter of the heat pump.
According to the method, the energy efficiency ratio is combined with the corresponding load parameter and the secondary side water supply temperature for analysis, the three-dimensional data are fitted to form the three-dimensional curved surface, and the optimal secondary side water supply temperature can be determined from the three-dimensional curved surface, so that more accurate adjustment parameters are set in a feedback mode, and the optimal operation of the heat pump is effectively guided. The method has the advantages of high precision, automatic real-time calculation and no interference with normal production operation, and can completely overcome the defects of the traditional method.
The variable data at least comprises the actual load of the heat pump, the secondary side water supply temperature, the secondary side backwater temperature, the water suction pump power consumption, the secondary side circulating water pump power consumption, the unit body power consumption and the rated load of the heat pump.
The actual load of the heat pump, the secondary side water supply temperature, the secondary side backwater temperature, the water pump power consumption, the secondary side circulating water pump power consumption and the unit body power consumption are dynamic variables, wherein the actual load of the heat pump belongs to the generic name of the embodiment when the heat pump is in a summer refrigerating state, namely, the actual load of the heat pump is the actual refrigerating capacity of the heat pump, and when the heat pump is in a winter heating state, the actual load of the heat pump is the actual heating capacity of the heat pump.
The rated load of the heat pump is a static variable, and the rated load of the heat pump also belongs to the generic term of the embodiment when refrigerating or heating, namely, when the heat pump is in a refrigerating state in summer, the rated load of the heat pump is the rated refrigerating capacity of the heat pump, and when the heat pump is in a heating state in winter, the rated load of the heat pump is the rated heating capacity of the heat pump.
In order to determine whether the heat pump works, dynamic variable parameters such as on-off state and the like can be introduced.
Preferably, step S12 in this embodiment is as follows: and performing data processing on the variable data to obtain processed data, as shown in fig. 2, including:
step S121: performing data cleaning on the variable data to obtain cleaned data;
step S122: acquiring delay time theta;
step S123: and according to the delay time, carrying out delay processing on the power consumption of the water pump, the power consumption of the secondary side circulating water pump and the power consumption of the unit body in the cleaned data to obtain delay-compensated water pump power consumption, delay-compensated power consumption of the secondary side circulating water pump and delay-compensated power consumption of the unit body.
The data cleansing may include: abnormal value rejection, missing value interpolation, data rejection after power-off, short-term data rejection after power-on and the like, so as to ensure the accuracy of data.
Similarly, because the secondary side water supply and return water circulate through the user side, larger hysteresis exists, and the load quantity obtained through actual measurement lags behind the power consumption of the unit, the power consumption of the groundwater suction pump, the power consumption of the secondary side water circulation pump and the power consumption of the unit body are required to be delayed.
The delay time obtaining method is shown in fig. 3, and includes:
step S1221: acquiring change data of power consumption of the water suction pump and the temperature of secondary side backwater in a historical period of time;
step S1222: recording a first moment when the power consumption of the water suction pump starts to change and a second moment when the temperature of the secondary side backwater starts to change in the opposite direction;
step S1223: and calculating the difference between the first time and the second time to obtain the delay time theta, see fig. 8.
Preferably, step S14 in this embodiment is as follows: fitting a load parameter-secondary side water supply temperature-energy efficiency ratio curve according to the energy efficiency ratio and the processed data, as shown in fig. 4, including:
step S141: dividing the secondary side water supply temperature in the processed data into M sections at equal intervals, and dividing the load parameter into N sections at equal intervals to obtain M multiplied by N grid sections;
wherein, M and N are natural numbers, M is preferably set between 10 and 20, and N is preferably set between 10 and 20;
step S142: calculating a load parameter average value, a secondary side water supply temperature average value and an energy efficiency ratio average value of each grid interval;
step S143: and drawing a three-dimensional curved surface according to the load parameter average value, the secondary side water supply temperature average value and the energy efficiency ratio average value to obtain the load parameter-secondary side water supply temperature-energy efficiency ratio curved surface.
The load parameter in the above step may be a load factor or a load quantity, that is, an actual load quantity of the heat pump, and in this embodiment, the actual load quantity of the heat pump is used as the load parameter to perform analysis, and the established load parameter-secondary side water supply temperature-energy efficiency ratio curved surface is the actual load quantity of the heat pump-secondary side water supply temperature-energy efficiency ratio curved surface.
Step S15 in this embodiment is as follows: determining an optimal secondary side water supply temperature as an optimal operation parameter of the heat pump according to the load parameter-secondary side water supply temperature-energy efficiency ratio curve, as shown in fig. 5, including:
step S151: obtaining the maximum energy efficiency ratio of the heat pump under the same actual load quantity and the corresponding secondary side water supply temperature of the maximum energy efficiency ratio in the curved surface of the actual load quantity-secondary side water supply temperature-energy efficiency ratio of the heat pump;
step S152: and determining the secondary side water supply temperature corresponding to the maximum energy efficiency ratio as the optimal secondary side water supply temperature to serve as the optimal operation parameter of the heat pump.
The maximum energy efficiency ratio of each load parameter interval is firstly searched in the three-dimensional curved surface to obtain a curve of the load parameter-energy efficiency ratio, and the corresponding optimal water supply temperature, namely the optimal secondary side water supply temperature, can be found according to the curve and can be used for guiding operators to optimize the operation of the heat pump.
Step S13 in this embodiment is as follows: according to the processed data, the energy efficiency ratio is calculated by the following method:
wherein, the total power consumption of the unit=delay compensated water pump power consumption+delay compensated secondary side circulating water pump power consumption+delay compensated unit body power consumption.
Embodiment two:
referring to fig. 6, an embodiment of the present invention provides a method for evaluating the optimal operation of a groundwater source heat pump, including:
step S11: variable data of the heat pump are obtained;
step S12: performing data processing on the variable data to obtain processed data;
step S13: calculating an energy efficiency ratio according to the processed data;
step S140: calculating a load rate:
step S141: dividing the secondary side water supply temperature in the processed data into M sections at equal intervals, and dividing the load rate into N sections at equal intervals to obtain M multiplied by N grid sections;
wherein, M and N are natural numbers, M is preferably set between 10 and 20, and N is preferably set between 10 and 20;
step S142: calculating a load rate average value, a secondary side water supply temperature average value and an energy efficiency ratio average value of each grid interval;
step S143: drawing a three-dimensional curved surface according to the load factor average value, the secondary side water supply temperature average value and the energy efficiency ratio average value to obtain a load factor-secondary side water supply temperature-energy efficiency ratio curved surface;
step S151: obtaining the maximum energy efficiency ratio under the same load rate and the secondary side water supply temperature corresponding to the maximum energy efficiency ratio in the load rate-secondary side water supply temperature-energy efficiency ratio curved surface;
step S152: and determining the secondary side water supply temperature corresponding to the maximum energy efficiency ratio as the optimal secondary side water supply temperature to serve as the optimal operation parameter of the heat pump.
The present embodiment differs from the first embodiment in that the load parameter is preferably a load factor, and the load factor range is (0, 100%). Therefore, the step of calculating the load rate is added, and the fitted curved surface is a load rate-secondary side water supply temperature-energy efficiency ratio curved surface.
Embodiment III:
referring to fig. 7, an apparatus for evaluating the optimal operation of a groundwater source heat pump according to an embodiment of the invention includes: a data acquisition module 21, a data processing module 22, a calculation module 23, a surface fitting module 24 and an optimal evaluation module 25, wherein:
the data acquisition module 21 is used for acquiring variable data of the heat pump;
the data processing module 22 is configured to perform data processing on the variable data to obtain processed data;
the calculating module 23 is configured to calculate an energy efficiency ratio according to the processed data;
the curve fitting module 24 is configured to fit a load parameter-secondary side water supply temperature-energy efficiency ratio curve according to the energy efficiency ratio and the processed data;
the optimal evaluation module 25 is configured to determine an optimal secondary side water supply temperature as an optimal operation parameter of the heat pump according to the load parameter, i.e. the secondary side water supply temperature and the energy efficiency ratio curve.
Fig. 9 is a schematic diagram of a terminal device 3 according to an embodiment of the present invention. As shown in fig. 9, the terminal device 3 of this embodiment comprises a processor 31, a memory 31 and a computer program 32, e.g. an optimal operation evaluation program of a groundwater source heat pump, stored in said memory 31 and executable on said processor 31. The processor 30, when executing the computer program 32, implements the steps of the various method embodiments described above, such as steps S11 to S15 shown in fig. 1. Alternatively, the processor 30, when executing the computer program 32, performs the functions of the modules/units of the apparatus embodiments described above, such as the functions of the modules 21 to 25 shown in fig. 7.
Illustratively, the computer program 32 may be partitioned into one or more modules/units that are stored in the memory 31 and executed by the processor 30 to complete the present invention. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions for describing the execution of the computer program 32 in the terminal device 3.
The terminal device 3 may be a computing device such as a desktop computer, a notebook computer, a palm computer, a cloud server, etc. The terminal device 3 may include, but is not limited to, a processor 30, a memory 31. It will be appreciated by those skilled in the art that fig. 9 is merely an example of the terminal device 3 and does not constitute a limitation of the terminal device 3, and may include more or less components than illustrated, or may combine certain components, or different components, e.g. the terminal device 3 may further include an input-output device, a network access device, a bus, etc.
The processor 30 may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 31 may be an internal storage unit of the terminal device 3, such as a hard disk or a memory of the terminal device 3. The memory 31 may be an external storage device of the terminal device 3, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the terminal device 3. Further, the memory 31 may also include both an internal storage unit and an external storage device of the terminal device 3. The memory 31 is used for storing the computer program as well as other programs and data required by the terminal device 3. The memory 31 may also be used for temporarily storing data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions. Of course, the units and modules described above may be replaced by a processor containing a computer program, and the operations of the units and modules may be performed in the form of pure software.
The functional units and modules in the embodiment may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit, where the integrated units may be implemented in a form of hardware or a form of a software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working process of the units and modules in the above system may refer to the corresponding process in the foregoing method embodiment, which is not described herein again.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus/terminal device and method may be implemented in other manners. For example, the apparatus/terminal device embodiments described above are merely illustrative, e.g., the division of the modules or units is merely a logical function division, and there may be additional divisions in actual implementation, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection via interfaces, devices or units, which may be in electrical, mechanical or other forms.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated modules/units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the present invention may implement all or part of the flow of the method of the above embodiment, or may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of each of the method embodiments described above. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth. It should be noted that the computer readable medium contains content that can be appropriately scaled according to the requirements of jurisdictions in which such content is subject to legislation and patent practice, such as in certain jurisdictions in which such content is subject to legislation and patent practice, the computer readable medium does not include electrical carrier signals and telecommunication signals.
The above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention, and are intended to be included in the scope of the present invention.
Claims (6)
1. A method for evaluating the optimal operation of a groundwater source heat pump, comprising:
variable data of the heat pump are obtained;
performing data processing on the variable data to obtain processed data;
calculating an energy efficiency ratio according to the processed data;
fitting a load parameter-secondary side water supply temperature-energy efficiency ratio curved surface according to the energy efficiency ratio and the processed data;
determining an optimal secondary side water supply temperature as an optimal operation parameter of the heat pump according to the load parameter, the secondary side water supply temperature and the energy efficiency ratio curve;
the variable data at least comprises actual load quantity of the heat pump, secondary side water supply temperature, secondary side backwater temperature, water suction pump power consumption, secondary side circulating water pump power consumption, unit body power consumption and rated load quantity of the heat pump;
the data processing is performed on the variable data to obtain processed data, including:
performing data cleaning on the variable data to obtain cleaned data;
acquiring delay time;
according to the delay time, delay processing is carried out on the power consumption of the water pump, the power consumption of the secondary side circulating water pump and the power consumption of the unit body in the cleaned data, so that delay-compensated power consumption of the water pump, delay-compensated power consumption of the secondary side circulating water pump and delay-compensated power consumption of the unit body are obtained;
and fitting a load parameter-secondary side water supply temperature-energy efficiency ratio curve according to the energy efficiency ratio and the processed data, wherein the method comprises the following steps of:
dividing the secondary side water supply temperature in the processed data into M sections at equal intervals, and dividing the load parameter into N sections at equal intervals to obtain M multiplied by N grid sections;
wherein, M and N are natural numbers;
calculating a load parameter average value, a secondary side water supply temperature average value and an energy efficiency ratio average value of each grid interval;
drawing a three-dimensional curved surface according to the load parameter average value, the secondary side water supply temperature average value and the energy efficiency ratio average value to obtain a load parameter-secondary side water supply temperature-energy efficiency ratio curved surface;
the load parameter is a load factor, and the method further comprises the steps of dividing the secondary side water supply temperature in the processed data into M sections at equal intervals, dividing the load parameter into N sections at equal intervals, and calculating the load factor before obtaining M multiplied by N grid sections:
the energy efficiency ratio calculating method comprises the following steps:
wherein, the total power consumption of the unit=delay compensated water pump power consumption+delay compensated secondary side circulating water pump power consumption+delay compensated unit body power consumption.
2. The method for evaluating the optimal operation of a groundwater source heat pump according to claim 1, wherein the obtaining delay time comprises:
acquiring change data of power consumption of the water suction pump and the temperature of secondary side backwater in a historical period of time;
recording a first moment when the power consumption of the water suction pump starts to change and a second moment when the temperature of the secondary side backwater starts to change in the opposite direction;
and calculating the difference between the first moment and the second moment to obtain the delay time.
3. The method for evaluating the optimal operation of a groundwater source heat pump according to claim 1, wherein said determining an optimal secondary side water supply temperature as an optimal operation parameter of the heat pump based on said load parameter-secondary side water supply temperature-energy efficiency ratio curve comprises:
obtaining the maximum energy efficiency ratio under the same load parameter and the secondary side water supply temperature corresponding to the maximum energy efficiency ratio in the load parameter-secondary side water supply temperature-energy efficiency ratio curved surface;
and determining the secondary side water supply temperature corresponding to the maximum energy efficiency ratio as the optimal secondary side water supply temperature to serve as the optimal operation parameter of the heat pump.
4. An apparatus for evaluating optimal operation of a groundwater source heat pump, comprising:
the data acquisition module is used for acquiring variable data of the heat pump, wherein the variable data at least comprises actual load quantity of the heat pump, secondary side water supply temperature, secondary side backwater temperature, water suction pump power consumption, secondary side circulating water pump power consumption, unit body power consumption and rated load quantity of the heat pump;
the data processing module is used for carrying out data processing on the variable data to obtain processed data;
the calculation module is used for calculating the energy efficiency ratio according to the processed data;
the curve fitting module is used for fitting a load parameter-secondary side water supply temperature-energy efficiency ratio curve according to the energy efficiency ratio and the processed data;
the optimal evaluation module is used for determining the optimal secondary side water supply temperature according to the load parameter, the secondary side water supply temperature and the energy efficiency ratio curve surface to serve as the optimal operation parameter of the heat pump;
the data processing module is specifically configured to: performing data cleaning on the variable data to obtain cleaned data; acquiring delay time; according to the delay time, delay processing is carried out on the power consumption of the water pump, the power consumption of the secondary side circulating water pump and the power consumption of the unit body in the cleaned data, so that delay-compensated power consumption of the water pump, delay-compensated power consumption of the secondary side circulating water pump and delay-compensated power consumption of the unit body are obtained;
the computing module is specifically configured to: dividing the secondary side water supply temperature in the processed data into M sections at equal intervals, and dividing the load parameter into N sections at equal intervals to obtain M multiplied by N grid sections; wherein, M and N are natural numbers; calculating a load parameter average value, a secondary side water supply temperature average value and an energy efficiency ratio average value of each grid interval; drawing a three-dimensional curved surface according to the load parameter average value, the secondary side water supply temperature average value and the energy efficiency ratio average value to obtain a load parameter-secondary side water supply temperature-energy efficiency ratio curved surface; the load parameter is a load factor, and the method further comprises the steps of dividing the secondary side water supply temperature in the processed data into M sections at equal intervals, dividing the load parameter into N sections at equal intervals, and calculating the load factor before obtaining M multiplied by N grid sections:
the energy efficiency ratio calculating method comprises the following steps:
wherein, the total power consumption of the unit=delay compensated water pump power consumption+delay compensated secondary side circulating water pump power consumption+delay compensated unit body power consumption.
5. A terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 1 to 3 when the computer program is executed.
6. A computer readable storage medium storing a computer program, characterized in that the computer program when executed by a processor implements the steps of the method according to any one of claims 1 to 3.
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| CN114719320B (en) * | 2022-04-20 | 2024-03-29 | 国网河北能源技术服务有限公司 | Scheduling methods, devices and terminal equipment for multiple heat pump systems |
| CN116933681B (en) * | 2023-07-18 | 2024-01-26 | 东莞市鹏锦机械科技有限公司 | Calculation method for optimal working condition of NMP waste gas recovery system |
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