Energy conversion carbon hub model construction method, system, equipment and medium

Abstract

The invention discloses an energy conversion carbon hub model construction method, system, equipment and medium, belongs to the technical field of comprehensive energy analysis modeling, and aims to construct single-input single-output and single-input multi-output device carbon flow models considering equipment carbon loss by uniformly quantifying heterogeneous energy quality difference with efficiency. Defining a carbon potential coupling relationship and a distribution mechanism through efficiency; establishing an efficiency-based carbon flow rate coupling matrix, and accurately representing energy station input and output port carbon potential association; and by solving the carbon flow conversion coefficient, a carbon hub model fused with energy quality attributes is formed, and technical support is provided for a carbon emission reduction strategy of an energy station.

Description

Technical Field

[0001] This invention relates to the field of integrated energy analysis and modeling technology, specifically to a method, system, device, and medium for constructing an energy conversion carbon hub model. Background Technology

[0002] Current carbon emission analyses of energy stations generally neglect the quality differences of heterogeneous energy sources, leading to distorted carbon emission liability determination. Traditional models do not incorporate energy efficiency into carbon flow allocation, failing to reflect the impact of equipment wear and tear on carbon emissions and hindering accurate traceability of carbon flows at the device level. This impedes both the optimal allocation of emission reduction resources within the system and the exploitation of the low-carbon value of high-efficiency energy conversion equipment.

[0003] Existing technologies suffer from three major shortcomings: first, the correlation between the efficiency of low-quality energy use and carbon emissions has not been quantified; second, energy quality losses during energy conversion are not included in the carbon allocation mechanism; and third, there is a lack of carbon flow modeling methods compatible with the characteristics of high-efficiency equipment, thus limiting the effectiveness of emission reduction strategies. There is an urgent need to establish a carbon emission flow modeling mechanism that integrates energy quality metrics. Summary of the Invention

[0004] In view of the above-mentioned problems, the present invention is proposed.

[0005] Therefore, the technical problem solved by this invention is to provide a method for constructing a carbon hub model with a high-efficiency energy conversion device that takes into account energy quality. This method can introduce the concepts of energy quality and efficiency into the energy station model, establish the relationship between the carbon potential of the input and output port nodes, analyze the carbon flow coupling relationship that takes into account carbon flow loss, and realize the modeling of carbon emission flow of the energy station.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution: a method for constructing an energy conversion carbon hub model, comprising: Using efficiency as a measure of the quality of various heterogeneous energy sources to quantify differences in energy quality; For single-input-single-output and single-input-multiple-output devices, the relationship between the carbon potential at the output port and the carbon flow rate at the input port is defined. A carbon emission allocation method based on efficiency is adopted to establish a carbon flow model for energy conversion devices that considers carbon loss based on efficiency. Define the carbon emission flow rate conversion efficiency based on efficiency, the carbon flow rate coupling matrix based on efficiency, and the conversion relationship. Establish an energy station carbon hub model based on efficiency that considers equipment losses and describe the relationship between the carbon potential at the input and output ports of the energy station. The relationship between carbon emission flow rates within the energy station is analyzed, the carbon flow conversion coefficient of the energy conversion device is solved, the input-output carbon flow rate relationship of the energy conversion device is described, and a carbon hub model of the energy station is established.

[0007] As a preferred embodiment of the energy conversion carbon hub model construction method described in this invention, the efficiency includes transformer efficiency, combined heat and power generation efficiency, and gas boiler efficiency.

[0008] As a preferred embodiment of the energy conversion carbon hub model construction method described in this invention, the carbon flow model of the energy conversion device considering carbon loss based on efficiency includes the optimal energy-carbon coupling model of a single-input-single-output conversion device considering equipment loss and the optimal energy-carbon coupling model of a single-input-multiple-output conversion device considering equipment loss.

[0009] As a preferred embodiment of the energy conversion carbon hub model construction method described in this invention, the optimal energy-carbon coupling model of the single-input-single-output conversion device considering equipment losses is expressed as follows: , in, The node carbon potential at the output port of a single-input single-output converter. The node carbon potential is the input to the single-input single-output converter. The carbon potential conversion efficiency of a single-input single-output converter; The optimal energy-carbon coupling model for a single-input to multiple-output converter considering equipment losses is expressed as follows: , in, and These are the carbon potential conversion efficiencies at the two output ports of the single-input to multiple-output converter, respectively. The node carbon potential at the input port of a single-input multiple-output converter; and The node carbon potentials at output ports 1 and 2 of the single-input multiple-output converter. and These are the efficiency values ​​of the two output ports of the single-input multiple-output converter, respectively.

[0010] As a preferred embodiment of the energy conversion carbon hub model construction method described in this invention, the carbon emission flow rate conversion efficiency based on efficiency includes the product of efficiency and carbon potential conversion efficiency.

[0011] As a preferred embodiment of the energy conversion carbon hub model construction method described in this invention, the carbon flow rate coupling matrix and conversion relationship of the efficiency include a description of the relationship between the carbon potential of the energy station's input and output ports, expressed as: , in, The input carbon potential vector. To output the carbon potential vector, For the input of the energy station, For the output of the energy station, This is the carbon flow rate coupling matrix.

[0012] As a preferred embodiment of the energy conversion carbon hub model construction method described in this invention, the analysis of the relationship between carbon emission flow rates within the energy station and the solution of the carbon flow conversion coefficient of the energy conversion device include a carbon hub model considering energy generation efficiency and the connection of the energy conversion device to the energy station, expressed as: , in, This represents a diagonal matrix generated using vectors as the main diagonal elements. and These are the electrical power and gas power inputs to the energy station, respectively. and The energy station outputs cooling power and heating power, respectively. and These are the carbon potential inputs to the energy station at the electricity node and the carbon potential inputs to the natural gas node. and These are the carbon potentials at the power output node and the thermal output node of the energy station, respectively. Indicates the carbon flow conversion coefficient of the energy station. This represents the element in the first row and second column of the energy station carbon flow conversion coefficient matrix. This represents the element in the second row, first column of the energy station carbon flow conversion coefficient matrix. This represents the element in the second row and second column of the energy station carbon flow conversion coefficient matrix.

[0013] This invention provides a carbon hub model construction system for energy conversion. By introducing efficiency as a unified metric for the quality of various heterogeneous energy sources such as electricity, gas, and heat, a carbon flow model for energy conversion devices considering equipment losses is established. For single-input single-output and single-input multi-output devices, carbon flow rate conversion relationships and carbon emission allocation mechanisms based on efficiency are defined respectively. The concept of carbon emission flow rate conversion efficiency is proposed, and a carbon flow rate coupling matrix is ​​constructed to accurately describe the conversion relationship of carbon potential at the input and output ports of the energy station. Finally, a carbon hub model integrating energy quality attributes and supporting the access of high-efficiency energy conversion devices is formed, realizing refined modeling and tracking of energy station carbon emission flows with both quantitative and qualitative synergy.

[0014] To solve the above-mentioned technical problems, the present invention provides the following technical solution: an energy conversion carbon hub model construction system, comprising: The quality measurement module uses efficiency as a quality measurement indicator for various types of heterogeneous energy to quantify the differences in energy quality. The carbon potential modeling module defines the relationship between the carbon potential at the output port and the carbon flow rate at the input port for single-input-single-output and single-input-multiple-output devices. It adopts a carbon emission allocation method based on efficiency and establishes a carbon flow model for energy conversion devices that considers carbon loss based on efficiency. The coupling matrix module defines the carbon emission flow rate conversion efficiency based on efficiency, the carbon flow rate coupling matrix based on efficiency, and the conversion relationship. It establishes an energy station carbon hub model based on efficiency that considers equipment losses and describes the relationship between the carbon potential at the input and output ports of the energy station. The high-efficiency integrated module analyzes the relationship of carbon emission flow rate within the energy station, solves the carbon flow conversion coefficient of the energy conversion device, describes the input-output carbon flow rate relationship of the energy conversion device, and establishes a carbon hub model for the energy station.

[0015] The present invention provides a computer device, including a memory and a processor, wherein the memory stores a computer program, characterized in that the processor executes the computer program to implement the steps of the energy conversion carbon hub model construction method described above.

[0016] The present invention provides a computer-readable storage medium having a computer program stored thereon, characterized in that the computer program, when executed by a processor, implements the steps of the energy conversion carbon hub model construction method described above.

[0017] The beneficial effects of this invention are as follows: By introducing energy quality differences and efficiency into the carbon emission flow modeling process, this invention solves the problem of distorted carbon responsibility allocation caused by neglecting the calorific value and environmental impact characteristics of different energy sources in traditional models; targeting the physical loss characteristics of energy conversion devices, a dynamic coupling mechanism for carbon flow rate of single-input single-output and single-input multi-output devices is established, achieving accurate quantification of carbon loss in the conversion process from a technical perspective; the carbon flow rate coupling matrix constructed based on efficiency provides a verifiable mathematical representation of the carbon potential relationship between the input and output ports of the energy station, effectively supporting the identification of high-emission links and the formulation of emission reduction strategies; finally, a carbon hub model with both theoretical rigor and engineering applicability is formed, providing a technical foundation for energy station equipment configuration optimization and refined carbon emission control. Attached Figure Description

[0018] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is a general flowchart of a method for constructing an energy conversion carbon hub model, provided as an embodiment of the present invention.

[0020] Figure 2 This is a diagram of an energy station structure provided by an embodiment of the present invention for a method of constructing an energy conversion carbon hub model.

[0021] Figure 3 This is a schematic diagram of the flow-carbon flow relationship of an SISO device, which is provided as an embodiment of the present invention for constructing a carbon collector model for energy conversion.

[0022] Figure 4 This is a schematic diagram of the flow-carbon flow relationship of a SIMO device, which is provided as an embodiment of the present invention for constructing a carbon collector model for energy conversion.

[0023] Figure 5 This is a schematic diagram of the steady-state distribution of the electricity-gas-heat current in an energy station, which is provided as an embodiment of the present invention for constructing a carbon hub model for energy conversion.

[0024] Figure 6 This is a schematic diagram of the steady-state distribution of the electricity-gas-heat carbon emission flow of an energy station, provided as an embodiment of the present invention, for a method of constructing an energy conversion carbon hub model. Detailed Implementation

[0025] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.

[0026] Example 1, referring to Figures 1-4 This is one embodiment of the present invention, which provides a method for constructing an energy conversion carbon hub model, including: S1: Use efficiency as a measure of the quality of various heterogeneous energy sources to quantify the differences in energy quality.

[0027] It should be noted that, such as Figure 1 As shown in S1, efficiency is used as a measure of the quality of various heterogeneous energy sources such as electricity, gas, and heat in an energy station. That is, energy has dual value attributes of "quantity" and "quality". The concept of efficiency represents the effective energy part of energy, that is, the part of energy that can be converted into useful work in theory. It can be used to measure the "quantity" and "quality" of different forms of energy. Efficiency is used as a measure of the quality of various heterogeneous energy sources such as electricity, gas, and heat in an energy station.

[0028] Furthermore, this includes transformer (T) efficiency, combined heat and power (CHP) power generation and heat generation efficiency, and gas boiler (GB) efficiency. Among them, transformer efficiency CHP gas heat production efficiency CHP gas power generation efficiency GB gas heat production efficiency The calculation formula is expressed as: , in, Indicates the transformer efficiency. This indicates the heat production efficiency of CHP gas. Indicates the efficiency of gas-to-electricity conversion. This indicates the heat production efficiency of GB gas. This indicates the electrical power output of the transformer. This indicates the electrical power input to the transformer. The energy quality coefficient of electricity. This indicates the thermal power output of CHP. This indicates the natural gas power input to CHP. The energy quality coefficient of hot water is indicated. The energy quality coefficient of natural gas. This indicates the electrical power output of the CHP. This indicates the natural gas power input to CHP. This indicates the thermal power output of GB. This indicates the natural gas power input to GB; Among them, the energy quality coefficient of electricity is taken as 1, the energy quality coefficient of hot water is taken as 0.141 for hot water at 50 / 40℃, and the energy quality coefficient of natural gas is taken as 0.62.

[0029] S2: For single-input-single-output and single-input-multiple-output devices, define the relationship between the carbon potential at the output port and the carbon flow rate at the input port, and establish a carbon flow model for energy conversion devices that considers carbon loss based on efficiency by adopting a carbon emission allocation method based on efficiency.

[0030] It should be noted that, such as Figure 1As shown in Figure S2, the carbon flow rate relationship between the input and output ports of a Single Input-Single Output (SISO) and a Single Input-Multiple Output (SIMO) device is defined. An optimal energy-carbon coupling tracking and allocation model for energy conversion devices based on efficiency and considering equipment losses is established. To analyze the carbon flow pattern in the energy conversion process, it is first necessary to establish carbon flow models for the main energy conversion devices in the energy station. These models are divided into two types: SISO conversion devices, such as power transformers and gas boilers, and SIMO conversion devices, such as combined heat and power units.

[0031] Furthermore, the steps for establishing the optimal energy carbon-coupled carbon flow model for a single-input single-output (SISO) converter considering equipment losses based on efficiency are as follows: For a single-input to single-output converter considering equipment losses, all carbon emissions related to the input energy should be allocated to the output energy and the converter itself. The carbon flow rate relationship between the input and output ports is expressed as: , in, , and These are the input carbon flow rate, output carbon flow rate, and carbon flow rate loss of the SISO converter. ); Introducing efficiency, the optimal energy-carbon coupled carbon flow model of a single-input to single-output converter considering equipment losses based on efficiency is expressed as: , in, The node carbon potential at the output port of a single-input single-output (SISO) converter. The node carbon potential input to the single-input single-output (SISO) converter. The carbon potential conversion efficiency of a single-input single-output converter; Specifically, taking a gas-fired boiler (GB) as an example: For this type of energy conversion device, all carbon emissions related to the input should be allocated to the output and the conversion device itself. The carbon flow rate relationship between the input and output ports is expressed as follows: , Right now: , in, , and These are the input carbon flow rate, output carbon flow rate, and carbon flow rate loss of the gas-fired boiler. ); and The node carbon potentials at the input and output ports of the gas-fired boiler are respectively ( ); , and These are the input wattage, output wattage, and wattage loss (MW) of GB, respectively. Combining the carbon flow rate relationship between the GB input and output ports and the GB efficiency formula, the GB carbon flow model can be expressed as: , Reference efficiency The definition can be used to define the carbon potential conversion efficiency of energy conversion devices. The carbon potential relationship at the input and output ports of the energy conversion device is characterized by the above formula. From this formula, we can see that the carbon potential conversion efficiency of GB is... , Figure 3 Taking GB as an example, the relationship between carbon flow and SISO equipment is described; Similarly, the carbon flow models for the other two SISO conversion devices, electric boilers and power transformers, are expressed as follows: , , in, and The carbon potential conversion efficiency is considered for the input and output of the electric boiler and power transformer, respectively. and These are the node carbon potentials at the input ports of the electric boiler and the power transformer, respectively. and These are the node carbon potentials at the output ports of the electric boiler and the power transformer, respectively.

[0032] Furthermore, the steps for establishing the optimal energy-carbon coupling carbon flow model for a single-input multiple-output (SIMO) converter considering equipment losses based on efficiency are as follows: For a single-input to multiple-output converter considering equipment losses, the carbon flow rate at the input port is equal to the sum of the carbon flow rate at the output port and the carbon flow rate loss of the converter, expressed as: , in, , , and These are the input carbon flow rate, output carbon flow rate, and carbon flow rate loss of the single-input to multiple-output converter, respectively. The carbon emissions among multi-output energy conversion devices are allocated using a per-unit efficiency-based allocation method, expressed as: , in, This indicates the efficiency of output port 1 of the single-input multiple-output converter. This indicates the efficiency of output port 2 of the single-input multiple-output converter; The optimal energy-carbon coupled carbon flow model for a single-input multiple-output (SIMO) converter, considering equipment losses and based on efficiency, is expressed as follows: , in, and These are the CPCEs for the two output ports of the single-input multiple-output converter; The node carbon potential at the input port of a single-input multiple-output converter; and The node carbon potentials at output ports 1 and 2 of the single-input multiple-output converter; Specifically, taking the CHP unit as an example, the carbon emission balance law still holds: the carbon flow rate at the input port equals the sum of the carbon flow rate at the output port and the carbon flow rate loss of the conversion device, expressed as: , Right now: , in, , , and These are the input carbon flow rate, output electrical carbon flow rate, output thermal carbon flow rate, and carbon flow rate loss of the CHP unit. ); , and The node carbon potentials at the input and output electrical and output thermal ports of the CHP unit are respectively ( ); , , and These are the input voltage, output electrical energy voltage, output thermal energy voltage, and voltage loss (MW) of the CHP unit, respectively. SIMO and SISO devices differ in their carbon emission allocation. Due to differences in their working principles and output characteristics during energy utilization and conversion, these two types of devices exhibit significant differences in carbon emission management. For SISO devices, carbon emission allocation is relatively simple and direct because they only produce one type of energy output. However, SIMO devices are much more complex because they can simultaneously produce multiple forms of energy, such as electricity and heat. In SIMO devices, carbon emission allocation becomes particularly important and complex. To ensure fairness and efficiency, carbon emissions must be allocated to different output energies according to certain rules. A carbon emission allocation method based on efficiency is adopted. Efficiency is a key indicator for measuring energy conversion and utilization efficiency, reflecting the degree of effective energy utilization during the energy conversion process, and is expressed as: , in, The efficiency of the output electrical port of the CHP unit; The efficiency of the hot port output of the CHP unit; Combining the carbon flow rate relationship between the input and output ports of the CHP unit and the CHP unit efficiency formula, the carbon flow model of the CHP unit can be obtained as follows: As shown, Figure 4 Taking a combined heat and power (CHP) unit as an example, the carbon flow-carbon flow relationship of the SIMO equipment is described as follows: , in, and These are the carbon potential conversion efficiencies for gas-fired power generation and gas-fired heat generation in the CHP unit, respectively. The node carbon potential at the input port of the CHP unit; and These are the node carbon potentials at the output electrical / thermal ports of the CHP unit, respectively.

[0033] S3: Define the carbon emission flow rate conversion efficiency based on efficiency, the carbon flow rate coupling matrix based on efficiency, and the conversion relationship. Establish an energy station carbon hub model based on efficiency that considers equipment losses, and describe the relationship between the carbon potential at the input and output ports of the energy station.

[0034] It should be noted that, such as Figure 1 As shown in S3, a typical energy station structure is as follows: Figure 2 As shown, if a hub model is used for construction, the matrix and vector mathematical expressions in the hub model can characterize the conversion and storage processes between different energy sources. The hub model includes input vectors. Transformation matrix and output vector The relationship between the three can be expressed as follows: , Furthermore, a carbon emission flow rate conversion efficiency based on efficiency is defined to represent the relationship between the input and output carbon flow rates of the energy conversion device. A carbon flow rate coupling matrix and conversion relationship based on efficiency are defined to describe the relationship between the carbon potential at the input and output ports of the energy station. An optimal energy-carbon coupling carbon flow model for the energy station based on efficiency and considering equipment losses is established.

[0035] S4: Analyze the relationship of carbon emission flow rate inside the energy station, solve the carbon flow conversion coefficient of the energy conversion device, describe the input-output carbon flow rate relationship of the energy conversion device, and establish a carbon hub model for the energy station.

[0036] It should be noted that, such as Figure 1 As shown in Figure S4, the relationship between the input and output carbon flow rates of the energy conversion device and its efficiency. and carbon potential conversion efficiency All are related; therefore, the carbon emission flow rate conversion efficiency is defined based on the efficiency of the conversion. Its size can be determined by and The product of these terms represents the input-output carbon flow rate relationship of the energy conversion device: , Referring to the definition of the energy hub model, in order to describe the relationship between the carbon potential at the input and output ports of the energy station, a carbon flow rate coupling matrix based on input potential, output potential, and potential efficiency is defined. The transformation relationship, used to describe the relationship between the carbon potentials at the EH input and output ports, is expressed as follows: , in, The input carbon potential vector. To output the carbon potential vector, For the input of the energy station, For the output of the energy station; , in: , in, , , and These represent the carbon emission flow rate conversion efficiencies for T, GB, and CHP to electricity and heat, respectively, based on efficiency. and carbon potential conversion efficiency The product representation; Based on the above derivation, we can conclude that... Figure 2 The optimal energy-carbon coupling carbon flow model for an energy station based on efficiency is shown below: , in, This refers to the carbon flow column vector within the energy station. and These are the input and output column vectors for the carbon flow, respectively.

[0037] Example 2, refer to Figure 2 and Figures 5-6This invention provides a method for constructing an energy conversion carbon hub model. To verify the beneficial effects of this invention, scientific demonstration is conducted through experiments.

[0038] We will select a typical energy station for analysis. The electricity and heat load provided by the energy station under a specific operating scenario are as follows: and The carbon potential of the power node and the carbon potential of the natural gas node at the energy station are respectively set as follows: and The topology of the energy station is as follows: Figure 2 As shown, the energy conversion equipment includes T, CHP, and GB, and the conversion efficiency is shown in Table 1. The natural gas distribution coefficient of CHP is taken as the value. ; Table 1. Efficiency of Energy Conversion Equipment , Based on the energy hub and the carbon hub matrix model considering carbon loss, and taking into account the quality attributes of energy, ε can be used as a reasonable parameter for measuring energy quality. This ε parameter is introduced into the carbon flow analysis and calculation of the energy station to solve for the input-output port conversion matrix of the energy station. Coupling matrix with carbon emission flow rate , is represented as: , , The optimal energy carbon-coupled carbon flow model based on efficiency is expressed as follows: , The steady-state distribution of multi-energy power flow and multi-energy carbon flow within the EH, considering efficiency, are as follows: Figure 5 and Figure 6 As shown: from Figure 5 and Figure 6 As can be seen, the CHP and GB units experience significant losses during heat production. This is due to the energy quality coefficient of natural gas being [missing information]. , The hot water energy quality coefficient is 0.141, resulting in low efficiency of CHP and GB units during heat production.

[0039] Under the combined effect of carbon potential conversion efficiency and carbon efficiency, all three types of equipment were allocated corresponding carbon flows; from Figure 6 It can be seen that the carbon potential at the output electrical node of the EH is higher than that at the input, while the carbon potential at the output thermal node is lower than that at the input. This is due to the different carbon potential conversion efficiencies of different energy conversion devices. .

[0040] Example 3 is an embodiment of the present invention, which provides an energy conversion carbon hub model construction system, including: The quality measurement module uses efficiency as a quality measurement indicator for various types of heterogeneous energy to quantify the differences in energy quality. The carbon potential modeling module defines the relationship between the carbon potential at the output port and the carbon flow rate at the input port for single-input-single-output and single-input-multiple-output devices. It adopts a carbon emission allocation method based on efficiency and establishes a carbon flow model for energy conversion devices that considers carbon loss based on efficiency. The coupling matrix module defines the carbon emission flow rate conversion efficiency based on efficiency, the carbon flow rate coupling matrix based on efficiency, and the conversion relationship. It establishes an energy station carbon hub model based on efficiency that considers equipment losses and describes the relationship between the carbon potential at the input and output ports of the energy station. The high-efficiency integrated module analyzes the relationship of carbon emission flow rate within the energy station, solves the carbon flow conversion coefficient of the energy conversion device, describes the input-output carbon flow rate relationship of the energy conversion device, and establishes a carbon hub model for the energy station.

[0041] This embodiment also provides an electronic device applicable to a method for constructing an energy conversion carbon hub model, comprising: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to implement the energy conversion carbon hub model construction method proposed in the above embodiment.

[0042] This embodiment also provides a storage medium storing a computer program that, when executed by a processor, implements a method for constructing an energy conversion carbon hub model as proposed in the above embodiments.

[0043] The storage medium proposed in this embodiment and the method for constructing an energy conversion carbon hub model proposed in the above embodiments belong to the same inventive concept. Technical details not described in detail in this embodiment can be found in the above embodiments, and this embodiment has the same beneficial effects as the above embodiments.

[0044] Based on the above description of the implementation methods, those skilled in the art can clearly understand that the present invention can be implemented using software and necessary general-purpose hardware, and of course, it can also be implemented using hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ROM), random access memory (RAM), flash memory, hard disk, or optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods of the various embodiments of the present invention.

[0045] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for constructing a carbon hub model for energy conversion, characterized in that: include, Using efficiency as a measure of the quality of various heterogeneous energy sources to quantify differences in energy quality; For single-input-single-output and single-input-multiple-output devices, the relationship between the carbon potential at the output port and the carbon flow rate at the input port is defined. A carbon emission allocation method based on efficiency is adopted to establish a carbon flow model for energy conversion devices that considers carbon loss based on efficiency. Define the carbon emission flow rate conversion efficiency based on efficiency, the carbon flow rate coupling matrix based on efficiency, and the conversion relationship. Establish an energy station carbon hub model based on efficiency that considers equipment losses and describe the relationship between the carbon potential at the input and output ports of the energy station. The relationship between carbon emission flow rates within the energy station is analyzed, the carbon flow conversion coefficient of the energy conversion device is solved, the input-output carbon flow rate relationship of the energy conversion device is described, and a carbon hub model of the energy station is established.

2. The method for constructing an energy conversion carbon hub model as described in claim 1, characterized in that: The efficiency includes transformer efficiency, combined heat and power generation efficiency (CHP) efficiency, and gas boiler efficiency.

3. The method for constructing an energy conversion carbon hub model as described in claim 2, characterized in that: The carbon flow model of the energy conversion device based on efficiency and considering carbon loss includes the optimal energy-carbon coupling model of a single-input-single-output conversion device that considers equipment loss and the optimal energy-carbon coupling model of a single-input-multiple-output conversion device that considers equipment loss.

4. The method for constructing an energy conversion carbon hub model as described in claim 3, characterized in that: The optimal energy-carbon coupling model for the single-input to single-output converter considering equipment losses is expressed as follows: ， in, The node carbon potential at the output port of a single-input single-output converter. The node carbon potential is the input to the single-input single-output converter. The carbon potential conversion efficiency of a single-input single-output converter; The optimal energy-carbon coupling model for a single-input to multiple-output converter considering equipment losses is expressed as follows: ， in, and These are the carbon potential conversion efficiencies at the two output ports of the single-input to multiple-output converter, respectively. The node carbon potential at the input port of a single-input multiple-output converter; and The node carbon potentials at output ports 1 and 2 of the single-input multiple-output converter. and These are the efficiency values ​​of the two output ports of the single-input multiple-output converter, respectively.

5. The method for constructing an energy conversion carbon hub model as described in claim 4, characterized in that: The carbon emission flow rate conversion efficiency based on efficiency includes the product of efficiency and carbon potential conversion efficiency.

6. The method for constructing an energy conversion carbon hub model as described in claim 5, characterized in that: The carbon flow rate coupling matrix and transformation relationship of the efficiency include a description of the relationship between the carbon potential at the input and output ports of the energy station, expressed as: ， in, The input carbon potential vector. To output the carbon potential vector, For the input of the energy station, For the output of the energy station, This is the carbon flow rate coupling matrix.

7. The method for constructing an energy conversion carbon hub model as described in claim 6, characterized in that: The analysis of the relationship between carbon emission flow rates within the energy station and the solution of the carbon flow conversion coefficient of the energy conversion device include a carbon collector model considering energy production efficiency and the connection of the energy conversion device to the energy station, expressed as: ， in, This represents a diagonal matrix generated using vectors as the main diagonal elements. and These are the electrical power and gas power inputs to the energy station, respectively. and The energy station outputs cooling power and heating power, respectively. and These are the carbon potential inputs to the energy station at the electricity node and the carbon potential inputs to the natural gas node. and These are the carbon potentials at the power output node and the thermal output node of the energy station, respectively. Indicates the carbon flow conversion coefficient of the energy station. This represents the element of the carbon flow conversion coefficient matrix of the energy station in the first row and first column. This represents the element in the first row and second column of the energy station carbon flow conversion coefficient matrix. This represents the element in the second row, first column of the energy station carbon flow conversion coefficient matrix. This represents the element in the second row and second column of the energy station carbon flow conversion coefficient matrix.

8. A system for constructing a carbon converter model for energy conversion, using the method for constructing a carbon converter model for energy conversion as described in any one of claims 1 to 7, characterized in that, include: The quality measurement module uses efficiency as a quality measurement indicator for various types of heterogeneous energy to quantify the differences in energy quality. The carbon potential modeling module defines the relationship between the carbon potential at the output port and the carbon flow rate at the input port for single-input-single-output and single-input-multiple-output devices. It adopts a carbon emission allocation method based on efficiency and establishes a carbon flow model for energy conversion devices that considers carbon loss based on efficiency. The coupling matrix module defines the carbon emission flow rate conversion efficiency based on efficiency, the carbon flow rate coupling matrix based on efficiency, and the conversion relationship. It establishes an energy station carbon hub model based on efficiency that considers equipment losses and describes the relationship between the carbon potential at the input and output ports of the energy station. The high-efficiency integrated module analyzes the relationship of carbon emission flow rate within the energy station, solves the carbon flow conversion coefficient of the energy conversion device, describes the input-output carbon flow rate relationship of the energy conversion device, and establishes a carbon hub model for the energy station.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the energy conversion carbon hub model construction method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the energy conversion carbon hub model construction method according to any one of claims 1 to 7.

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