Construction method of carbon hub model containing high-efficiency energy conversion device

Abstract

The invention discloses a method for constructing a carbon hub model containing a high-efficiency energy conversion device, which is used for establishing a carbon hub model containing an energy conversion device with energy production efficiency greater than 1 in an energy station, and the energy production efficiency refers to the ratio of output energy to input energy. According to the flow direction of internal energy of a unit of the energy conversion device with the energy production efficiency larger than 1, carbon emission corresponding to internal loss energy of the high-efficiency energy conversion device is distributed to an energy station; s2, establishing a carbon flow model of all energy conversion devices considering carbon loss in the energy station; s3, under the condition that the high-efficiency energy conversion devices are connected to the energy station, analyzing the relation of carbon emission flow rates in the energy station, solving the carbon flow conversion coefficients of all the energy conversion devices so as to describe the relation of input and output carbon flow rates of all the energy conversion devices, and establishing a carbon hub model of the energy station. According to the method, accurate calculation and responsibility allocation of the carbon emission of the energy station can be realized.

Description

Technical Field

[0001] The present invention relates to the fields of multi - energy complementary modeling of distributed energy stations and multi - energy carbon emission flows, and particularly to a method for constructing a carbon hub model containing a high - efficiency energy conversion device. Background Art

[0002] With the increasingly severe global climate change problem, achieving a low - carbon transformation of the energy system has become the focus of widespread concern in the international community. As an important part of the urban energy supply system, the low - carbon planning and operation optimization of distributed energy stations are of great significance for promoting the optimization of the energy structure and reducing greenhouse gas emissions.

[0003] Currently, in the prior art, for the evaluation of the energy utilization efficiency of single - input - single - output conversion devices such as heat pumps and electric refrigeration units, it usually relies on traditional parameters such as the energy efficiency ratio (EER) and the coefficient of performance (COP). These parameters mainly focus on the ratio of the output energy to the input energy of the device, and are used to measure the energy conversion efficiency of the device. However, these traditional parameters are insufficient in revealing the details of the electric energy flow, and cannot comprehensively reflect the proportional relationship between the electric energy actually used for refrigeration / heating and the wasted electric energy after the input electric energy flows into the conversion device.

[0004] In addition, for devices such as heat pumps and electric refrigeration units, their energy conversion efficiency is often greater than 1, that is, the output energy is greater than the input energy (considering the use of ambient heat for energy conversion). In this case, the traditional parameters cannot accurately describe the actual utilization efficiency of electric energy, nor can they effectively distinguish the part of the input electric energy actually used for refrigeration / heating from the part consumed due to internal losses of the device. When constructing a carbon hub model, the prior art has also failed to fully consider the refined analysis of the internal energy flow of energy conversion devices with an energy conversion efficiency greater than 1, as well as the corresponding carbon emission allocation. This results in an inability to accurately reflect the internal carbon emission situation when evaluating and optimizing the energy utilization efficiency of such devices, thus affecting the analysis and optimization of the overall carbon emission flow rate relationship of the energy station.

[0005] Therefore, it is necessary to propose a new electric energy consumption efficiency parameter and its calculation method, as well as a corresponding method for constructing a carbon hub model, to overcome the deficiencies in the prior art, comprehensively reflect the actual utilization efficiency of electric energy of single - input - single - output conversion devices, and accurately describe the internal carbon emission situation of the device.

[0006] The prior art document 1 (CN116150927A) discloses a method for constructing a carbon hub model, and its deficiency lies in that it does not consider the construction of the carbon flow model of devices with an output - to - input energy ratio greater than 1, such as heat pumps and electric refrigeration units, and the influence of their operating characteristics. Summary of the Invention

[0007] The object of the present invention is to overcome the deficiencies in the prior art and provide a method for constructing a carbon hub model containing a high-efficiency energy conversion device. In view of devices such as heat pumps and electric refrigeration units that not only consume electric energy but also utilize environmental heat for energy conversion and have an energy conversion efficiency greater than 1, a new parameter of electric energy consumption efficiency is introduced. This parameter is defined as the ratio of the compressor shaft power to the power distributed on the input side, which can accurately reflect the proportional relationship between the electric energy actually used for refrigeration / heating and the lost electric energy after the input electric energy flows into the conversion device, making up for the details of the electric energy flow that the traditional energy efficiency ratio (EER) and coefficient of performance (COP) fail to fully reveal. Through the present invention, the energy utilization efficiency of such devices can be evaluated and optimized more precisely.

[0008] The object of the present invention is achieved through the following technical solutions:

[0009] A method for constructing a carbon hub model containing a high-efficiency energy conversion device, used to establish a carbon hub model in an energy station that includes an energy conversion device with an energy conversion efficiency greater than 1. The energy conversion efficiency refers to the ratio of the output energy to the input energy, and includes the following steps:

[0010] S1. Divide the energy flow direction of the high-efficiency energy conversion device, that is, the internal energy flow direction of the unit of the energy conversion device with an energy conversion efficiency greater than 1, and allocate the carbon emissions corresponding to the internal loss energy of the high-efficiency energy conversion device to the energy station;

[0011] S2. Establish a carbon flow model of all energy conversion devices in the energy station considering carbon loss;

[0012] S3. Considering the situation where the high-efficiency energy conversion device is connected to the energy station, analyze the relationship of the internal carbon emission flow rate of the energy station, solve the carbon flow conversion coefficient of all energy conversion devices to describe the input-output carbon flow rate relationship of all energy conversion devices, and establish the carbon hub model of the energy station.

[0013] Furthermore, a parameter of electric energy consumption efficiency is proposed, defined as the ratio of the compressor shaft power to the distributed power, and the formula is:

[0014] ξ EC =P EC,com / P EC,in

[0015] In the formula, ξ EC is the electric energy consumption efficiency of the electric refrigeration unit; P EC,in is the compressor shaft power of the electric refrigeration unit; P EC,in is the power distributed on the input side of the electric refrigeration unit;

[0016] The power consumption efficiency reflects the proportional relationship between the energy flowing into the input end, the energy lost, and the energy input for energy production. Correspondingly, the carbon emissions carried by the energy at the input end can be allocated to the lost energy and the energy input for energy production. Thus, a part of the carbon flow model of the electric refrigeration unit is as follows:

[0017] R EC,in =R EC,com +R EC,loss

[0018] e EC,in ·P EC,in =e EC,com ·P EC,com +e EC,in ·P EC,loss

[0019] In the formula, R EC,in , R EC,com , and R EC,loss are the input carbon flow rate, the output carbon flow rate flowing into the compressor, and the loss carbon flow rate of the electric refrigeration unit respectively; e EC,in is the node carbon potential at the input port of the electric refrigeration unit; e EC,com is the node carbon potential flowing into the compressor port of the electric refrigeration unit; P EC,loss are the active power of the loss electric energy of the electric refrigeration unit respectively.

[0020] Combined with the above formula, another part of the carbon flow model of the electric refrigeration unit is:

[0021] e EC,com =e EC,in

[0022] Furthermore, for a heat pump unit with an energy conversion efficiency greater than 1, the heating process is the reverse process of the refrigeration of the electric refrigeration unit, and the principle is the same. Similarly, the carbon flow model of the heat pump unit is:

[0023] R HP,in =R HP,com +R HP,loss

[0024] e HP,in ·P HP,in =e HP,com ·P HP,com +e HP,in ·P HP,loss

[0025] e HP,com =e HP,in

[0026] In the formula, R HP,in , R HP,com , and R HP,lossThey are respectively the input carbon flow rate, the output carbon flow rate flowing to the compressor, and the loss carbon flow rate of the heat pump unit; e HP,in is the node carbon potential of the input port of the heat pump unit; e HP,com is the node carbon potential flowing into the compressor port of the heat pump unit; P HP,in 、P HP,com and P HP,loss are respectively the distribution power, the shaft power, and the active power of the loss electric energy of the heat pump unit.

[0027] Furthermore, in step S3,

[0028] The carbon hub model considering the access of an energy conversion device with an energy conversion efficiency greater than 1 to the energy station is:

[0029]

[0030] In the formula, and are respectively the input electric power and gas power of the energy station, and are respectively the output cooling power and heating power of the energy station; and are respectively the input power node carbon potential and the natural gas node carbon potential of the energy station, and are respectively the output power node carbon potential and the thermal node carbon potential of the energy station; g represents the carbon flow conversion coefficient of the energy station;

[0031] Another representation is:

[0032] P out ·E out =G·P in ·E in

[0033] In the formula, P in and P out are respectively the input and output power vectors of the energy station; E in is the input carbon potential vector; represents the carbon flow rate coupling matrix; E out is the output carbon potential vector.

[0034] The present invention also provides a construction device for a carbon hub model including a high-efficiency energy conversion device, comprising:

[0035] A carbon emission allocation unit, configured to divide the energy flow direction of the high-efficiency energy conversion device, that is, the internal energy flow direction of the energy conversion device with an energy conversion efficiency greater than 1, and allocate the carbon emissions corresponding to the internal loss energy of the high-efficiency energy conversion device to the energy station;

[0036] A carbon flow model construction unit for establishing a carbon flow model of an energy conversion device considering carbon loss;

[0037] A carbon hub model construction unit for analyzing the relationship of carbon emission flow rates inside an energy station and solving the carbon flow conversion coefficients of all energy conversion devices to describe the input-output carbon flow rate relationship of all energy conversion devices and establish a carbon hub model of the energy station when considering the access of high-efficiency energy conversion devices to the energy station.

[0038] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, the steps of the method for constructing a carbon hub model of an energy station with high-efficiency energy conversion devices are implemented.

[0039] The present invention also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the method for constructing a carbon hub model of an energy station with high-efficiency energy conversion devices are implemented.

[0040] Compared with the prior art, the beneficial effects brought by the technical solution of the present invention are as follows:

[0041] 1. The present invention introduces a new parameter of power consumption efficiency. By calculating the proportion of the compressor shaft power in the input-side power distribution power, this parameter can accurately reflect the proportional relationship between the proportion of input electric energy actually used for refrigeration / heating and the proportion of lost electric energy. This overcomes the deficiency that traditional energy efficiency ratios and performance coefficients only consider the ratio of output energy to input energy and cannot comprehensively reveal the details of the electric energy flow. Through the power consumption efficiency parameter provided by the present invention and its calculation method, the energy utilization efficiency of devices such as heat pumps and electric refrigeration units can be more accurately evaluated and optimized. It can significantly improve the scientific nature of equipment operation optimization, thereby reducing energy consumption and operating costs.

[0042] 2. When constructing the carbon flow model of the equipment in the energy station, the present invention takes into account the particularity of energy conversion devices with an energy production efficiency greater than 1 (such as heat pumps and electric refrigeration units). By finely dividing the internal energy flow of the devices, the carbon emissions corresponding to the internal loss energy of the equipment are reasonably attributed to the overall emission model of the energy station, thereby establishing a more accurate carbon flow model. This helps to more accurately analyze the relationship of carbon emission flow rates of such devices inside the energy station and provides a scientific basis for formulating effective carbon emission management strategies.

[0043] 3. The present invention constructs a carbon hub model of an energy station with the access of high-efficiency energy conversion devices, making up for the deficiency in the carbon hub modeling of energy stations with such devices in existing research and improving the relevant research, thereby helping to better describe the carbon flow characteristics and responsibility requirements in complex energy station systems.

[0044] 4. The present invention provides a powerful tool and method for evaluating, designing, and optimizing the energy utilization efficiency of energy conversion devices by introducing the power consumption efficiency parameter and constructing an accurate carbon hub model, which has significant beneficial effects on promoting the efficient and clean development of the energy industry. Through the method of the present invention, the energy flow and carbon emission flow inside the energy conversion device can be more deeply understood, which helps to optimize the design and operation strategy of the energy system, improve the overall energy efficiency level, and reduce the carbon emission intensity at the same time. This is of great significance for realizing the low-carbon transformation of distributed energy stations and promoting the efficient application of clean energy.

[0045] 5. The present invention provides a new method for the optimal design and operation strategy formulation of energy conversion devices through the power consumption efficiency parameter and its derivative model. By constructing a carbon hub model including high-efficiency energy conversion devices, not only can the energy utilization efficiency of the energy conversion device be improved, but also the carbon emission distribution of the energy station can be optimized, providing a reliable guarantee for achieving the goal of an efficient clean energy system. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 It is a schematic diagram of the energy flow of an electric refrigeration unit.

[0047] Figure 2 It is a schematic diagram of the structure of an energy station with the access of high-efficiency energy conversion devices.

[0048] Figure 3 It is a schematic diagram of the carbon flow path inside the energy station. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0049] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0050] This embodiment provides a method for constructing a carbon hub model considering the carbon flow loss of an energy station and the access of high-efficiency energy conversion devices to the energy station, which is specifically as follows:

[0051] S1. Construction of the carbon flow model of the energy conversion device

[0052] (1) Conversion device with an energy production efficiency less than 1

[0053] Taking a gas boiler as an example, for such an energy conversion device, all carbon emissions related to the input energy should be fully allocated to the output energy and the conversion device itself. The carbon flow rate relationship between the input port and the output port is shown in Equation (1):

[0054] R GB,in = R GB,out + R GB,loss (1)

[0055] That is:

[0056] e GB,in ·P GB,in = e GB,out ·P GB,out + e GB,in ·P GB,loss (2)

[0057] In the formula, R GB,in , R GB,out and R GB,loss are the input carbon flow rate, output carbon flow rate and carbon flow rate loss (tCO2 / h) of the gas boiler respectively; e GB,in and e GB,out are the node carbon potentials (tCO2 / kWh) at the input and output ports of the gas boiler respectively; P GB,in , P GB,out and P GB,loss are the active power at the input port, active power at the output port and active power loss (MW) of the gas boiler respectively.

[0058] Introduce the conversion efficiency of the single input - single output conversion device (the conversion efficiency of the gas boiler is η GB ), that is, the energy output is in a certain proportion to the energy input, as shown in formula (3):

[0059] P GB,out = η GB ·P GB,in (3)

[0060] Combining formula (2) and (3), the carbon flow model of the gas boiler can be obtained as follows:

[0061] e GB,out = e GB,in (4)

[0062] (1) Energy conversion device with energy conversion efficiency greater than 1

[0063] This embodiment proposes a parameter of electric energy consumption efficiency, which is defined as the proportion of the compressor shaft power in the distribution power, as shown in formula (5):

[0064] ξ EC = P EC,com / P EC,in (5)

[0065] In the formula, ξ EC is the electric energy consumption efficiency of the electric refrigeration unit; P EC,in is the compressor shaft power of the electric refrigeration unit; P EC,in is the distribution power on the input side of the electric refrigeration unit;

[0066] The power consumption efficiency reflects the proportional relationship between the energy flowing into the input end, the energy lost, and the energy input for energy production. For example, Figure 1 as shown. Correspondingly, the carbon emissions carried by the energy at the input end can be allocated to the energy lost and the energy input for energy production. Taking an electric refrigeration unit as an example, a part of the carbon flow model of such a unit is specifically as follows:

[0067] R EC,in = R EC,com + R EC,loss (6)

[0068] e EC,in ·P EC,in = e EC,com ·P EC,com + e EC,in ·P EC,loss (7)

[0069] In the formula, R EC,in , R EC,com and R EC,loss are the input carbon flow rate of EC, the output carbon flow rate flowing into the compressor, and the loss carbon flow rate respectively; e EC,in is the node carbon potential of the EC input port; e EC,com is the node carbon potential flowing into the compressor port; P EC,in , P EC,com and P EC,loss are the distribution power, shaft power, and loss electric energy active power of EC respectively.

[0070] Combining formulas (6) and (7), another part of the EC carbon flow model can be obtained as follows:

[0071] e EC,com = e EC,in (8)

[0072] For a heat pump unit, a heating device with an energy conversion efficiency greater than 1, the heating process is the reverse process of the refrigeration of an electric refrigeration unit, and the essential principle is the same. Similarly, the carbon flow model of the heat pump unit can be obtained as follows:

[0073] R HP,in = R HP,com + R HP,loss (9)

[0074] e HP,in ·P HP,in = e HP,com ·P HP,com + e HP,in ·P HP,loss (10)

[0075] e HP,com = e HP,in (11)

[0076] In the formula, R HP,in , R HP,com and R HP,loss are respectively the input carbon flow rate of HP, the output carbon flow rate flowing to the compressor, and the loss carbon flow rate; e HP,in is the node carbon potential of the HP input port; e HP,com is the node carbon potential flowing into the compressor port; P HP,in , P HP,com and P HP,loss are respectively the distribution power of HP, the shaft power, and the active power of the loss electric energy.

[0077] S2. Carbon hub model considering the energy conversion efficiency of the device is greater than 1

[0078] Referring to the definition of the energy hub model, in order to describe the relationship between the carbon potentials of the input and output ports of the energy station, the carbon flow rate coupling matrix G and the conversion relationship formula are defined as follows:

[0079] P out ·E out = G·P in ·E in (12)

[0080] In the formula, E in is the input carbon potential vector, and E out is the output carbon potential vector.

[0081] Taking the Figure 2 shown energy station as an example, its corresponding carbon hub model considering carbon loss is as follows:

[0082]

[0083] That is:

[0084]

[0085] Among them:

[0086]

[0087] In the formula, μ represents the distribution coefficient of the electric input of the electric refrigeration unit and the air-cooled heat pump; τ represents the energy distribution coefficient of the air-cooled heat pump for refrigeration and heating.

[0088] Preferably, this embodiment further provides a device for constructing a carbon hub model including a high-efficiency energy conversion device, including:

[0089] A carbon emission distribution unit, which is used to divide the energy flow direction of the high-efficiency energy conversion device, that is, the internal energy flow direction of the energy conversion device with an energy conversion efficiency greater than 1, and allocate the carbon emissions corresponding to the internal loss energy of the high-efficiency energy conversion device to the energy station;

[0090] A carbon flow model construction unit for establishing a carbon flow model of an energy conversion device considering carbon loss;

[0091] A carbon hub model construction unit for analyzing the relationship of carbon emission flow rates inside an energy station when considering the access of high-efficiency energy conversion devices to the energy station, clarifying the conversion efficiency of carbon emission flow rates of all energy conversion devices, so as to describe the input-output carbon flow rate relationship of all energy conversion devices, thereby clarifying the internal carbon flow path of the energy station, as Figure 3 shown, and then establishing a carbon hub model of the energy station.

[0092] Preferably, the embodiments of the present application also provide a specific implementation manner of an electronic device capable of implementing all steps in the construction method of the carbon hub model including high-efficiency energy conversion devices in the above embodiments. The electronic device specifically includes the following contents:

[0093] A processor, a memory, a communication interface, and a bus;

[0094] Among them, the processor, the memory, and the communication interface complete mutual communication through the bus; the communication interface is used to realize information transmission between related devices such as server-side devices, metering devices, and user-side devices.

[0095] The processor is used to call the computer program in the memory. When the processor executes the computer program, all steps in the construction method of the carbon hub model including high-efficiency energy conversion devices in the above embodiments are realized.

[0096] The embodiments of the present application also provide a computer-readable storage medium capable of implementing all steps in the construction method of the carbon hub model including high-efficiency energy conversion devices in the above embodiments. A computer program is stored on the computer-readable storage medium, and when the computer program is executed by the processor, all steps in the construction method of the carbon hub model including high-efficiency energy conversion devices in the above embodiments are realized.

[0097] Each embodiment in this specification is described in a progressive manner. The same or similar parts among the embodiments can be referred to each other, and the key points of each embodiment are the differences from other embodiments. In particular, for the hardware + program type embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiments.

[0098] The above description has been made of specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve the desired result. Additionally, the processes depicted in the drawings do not necessarily require the particular order or sequential order shown to achieve the desired result. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0099] Although this application provides method operation steps such as in the embodiments or flowcharts, more or fewer operation steps may be included based on routine or non-creative labor. The order of steps recited in the embodiments is only one way among many orders of step execution and does not represent the sole order of execution. When actually executed in a device or client product, it may be executed in the order of the method shown in the embodiments or the drawings or in parallel (e.g., in an environment of parallel processors or multithreaded processing).

[0100] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memory, CD-ROM, optical memory, etc.) containing computer-usable program code.

[0101] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory produce a manufacture including an instruction device that implements the functions specified in one Figure 1 one process or multiple processes and / or blocks Figure 1 specified in one block or multiple blocks.

[0102] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operation steps are performed on the computer or other programmable device to produce a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one Figure 1 one process or multiple processes and / or blocks Figure 1 specified in one block or multiple blocks.

[0103] The present invention is not limited to the embodiments described above. The above description of the specific embodiments is intended to describe and illustrate the technical solutions of the present invention. The above specific embodiments are merely illustrative and not restrictive. Without departing from the spirit of the present invention and the scope protected by the claims, those of ordinary skill in the art can make many specific transformations in various forms under the inspiration of the present invention, and these all fall within the protection scope of the present invention.

Claims

1. A method for constructing a carbon hub model containing a high-efficiency energy conversion device, which is used to establish a carbon hub model containing an energy conversion device with an energy efficiency greater than 1 in an energy station, wherein the energy efficiency refers to the ratio of output energy to input energy, and is characterized in that: The following steps are involved: S1. Decompose the energy flow of high-efficiency energy conversion devices, that is, the internal energy flow of energy conversion devices with energy efficiency greater than 1, and allocate the carbon emissions corresponding to the internal energy loss of high-efficiency energy conversion devices to energy stations; S2. Establish a carbon flow model for all energy conversion devices in the energy station taking into account carbon losses; S3. Considering the case where high-efficiency energy conversion devices are connected to the energy station, the relationship between the carbon emission flow rates within the energy station is analyzed, and the carbon flow conversion coefficients of all energy conversion devices are solved to describe the relationship between the input and output carbon flow rates of all energy conversion devices, and establish a carbon hub model for the energy station.

2. The method for constructing a carbon hub model containing a high-efficiency energy conversion device according to claim 1, characterized in that: The power consumption efficiency parameter is proposed, which is defined as the ratio of compressor shaft power to distribution power. The formula is: x EC =P EC,com / P EC,in In the formula, ξ EC P is the energy consumption efficiency of the electric refrigeration unit; EC,in P is the shaft power of the compressor of the electric refrigeration unit; EC,in Distribute power to the input side of the electric refrigeration unit; The power consumption efficiency reflects the proportional relationship between the input energy flow to the loss energy and the energy input. Correspondingly, the carbon emissions carried by the input energy can be apportioned to the loss energy and the energy input. The carbon flow model of the electric refrigeration unit is as follows: R EC,in =R EC,com +R EC,loss And EC,in ·P EC,in =and EC,com ·P EC,com +e EC,in ·P EC,loss In the formula, R EC,in , R EC,com and R EC,loss are the input carbon flow rate of the electric refrigeration unit, the output carbon flow rate to the compressor, and the loss carbon flow rate; e EC,in is the node carbon potential of the input port of the electric refrigeration unit; e EC,com is the node carbon potential flowing into the compressor port of the electric refrigeration unit; P EC,loss are respectively the active power of the electric energy loss of the electric refrigeration unit; Combined with the above formula, the other part of the carbon flow model of the electric refrigeration unit is: And EC,com =and EC,in 3. The method for constructing a carbon hub model containing a high-efficiency energy conversion device according to claim 1, characterized in that: For heat pump units with energy conversion efficiency greater than 1, the heating process is the reverse process of the refrigeration process of the electric refrigeration unit, and the principle is the same. Similarly, the carbon flow model of the heat pump unit is: R HP,in =R HP,com +R HP,loss And HP,in ·P HP,in =and HP,com ·P HP,com +e HP,in ·P HP,loss And HP,com =and HP,in In the formula, R HP,in , R HP,com and R HP,loss are the input carbon flow rate of the heat pump unit, the output carbon flow rate to the compressor, and the loss carbon flow rate; e HP,in is the node carbon potential of the heat pump unit input port; e HP,com is the node carbon potential flowing into the compressor port of the heat pump unit; P HP,in , P HP,com and P HP,loss They are the distribution power, shaft power and active power of the lost electrical energy of the heat pump unit respectively.

4. The method for constructing a carbon hub model containing a high-efficiency energy conversion device according to claim 1, characterized in that: In step S3, The carbon hub model considering the energy conversion device with energy efficiency greater than 1 connected to the energy station is: In the formula, and The electric power and gas power are input to the energy station respectively. and Output cooling power and heating power for the energy station respectively; and Input the carbon potential of the power node and the carbon potential of the natural gas node for the energy station respectively. and are the carbon potential of the power output node and the thermal node of the energy station respectively; g represents the carbon flow conversion coefficient of the energy station; Another representation is: P out ·E out =G·P in ·E in Where P in and P out are the input and output power vectors of the energy station respectively; E in is the input carbon potential vector; represents the carbon flow rate coupling matrix; E out is the output carbon potential vector.

5. A device for constructing a carbon hub model containing a high-efficiency energy conversion device, characterized in that: include: The carbon emission allocation unit is used to divide the energy flow of the high-efficiency energy conversion device, that is, the internal energy flow of the energy conversion device with an energy efficiency greater than 1, and allocate the carbon emissions corresponding to the internal energy loss of the high-efficiency energy conversion device to the energy station; A carbon flow model building unit is used to build a carbon flow model for energy conversion devices that takes carbon loss into consideration; The carbon hub model building unit is used to analyze the relationship between the carbon emission flow rates within the energy station under the condition that high-efficiency energy conversion devices are connected to the energy station, solve the carbon flow conversion coefficients of all energy conversion devices, describe the relationship between the input and output carbon flow rates of all energy conversion devices, and establish the carbon hub model of the energy station.

6. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the steps of the method for constructing a carbon hub model containing a high-efficiency energy conversion device according to any one of claims 1 to 4 are implemented.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for constructing a carbon hub model containing a high-efficiency energy conversion device as described in any one of claims 1 to 6 are implemented.

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