Energy station carbon emission flow apportionment model construction method considering energy quality

Abstract

The invention discloses a construction method of an energy station carbon emission flow apportionment model considering energy quality. The construction method comprises the following steps: taking # imgabs0 # efficiency as a measurement index of the quality of various heterogeneous energy sources such as electricity, gas and heat in an energy station; defining a carbon flow rate relationship between input ports and output ports of a single input-single output device and a single input-multiple output device, and establishing an energy conversion device optimal energy-carbon coupling tracking apportionment model based on # imgabs1 # efficiency and considering equipment loss; carbon emission flow rate conversion efficiency based on # imgabs2 # efficiency is defined, the relation between input and output carbon flow rates of the energy conversion device is expressed, and a carbon flow rate coupling matrix and a conversion relational expression based on # imgabs3 # efficiency are defined to describe the relation between input and output port carbon potential of an energy station; and establishing an energy station optimal energy-carbon coupling tracking apportionment model based on # imgabs4 # efficiency and considering equipment loss. The optimal energy-carbon coupling tracking and sharing model of the energy station is further constructed, and an effective tool is provided for carbon emission management of the energy station; by introducing concepts of energy quality, quantity-quality collaboration and # imgabs5 # efficiency, high-emission links and potential energy-saving points in energy use can be identified more accurately, and an energy station is helped to formulate a more targeted emission reduction strategy, optimize energy configuration and reduce overall carbon emission.

Description

Technical Field

[0001] The present invention relates to the technical field of comprehensive energy analysis modeling, and in particular to a method for constructing a carbon emission flow allocation model of an energy station taking energy quality into consideration. Background Art

[0002] At present, global climate change and global warming problems are becoming increasingly serious. Reducing carbon emissions and achieving carbon neutrality have become a common global goal.

[0003] In response to the trend of global warming, reducing CO2 emissions is the most direct way to effectively mitigate and curb the trend of global warming. As one of the main sources of carbon emissions, the control of carbon emissions from energy stations is of great significance to the response to global climate change. By allocating the carbon emission flow of energy stations, the responsibility of the devices in the station in carbon emissions can be clarified, thereby promoting the optimal allocation of emission reduction resources within the system, ensuring the effective implementation of emission reduction measures, and improving emission reduction efficiency. In addition, through the establishment and implementation of the carbon emission allocation model, the energy industry can be guided to develop in a more environmentally friendly and efficient direction, and promote industrial upgrading and transformation.

[0004] The existing carbon emissions from energy stations have the following problems:

[0005] (1) Low-quality energy may be used less efficiently, resulting in more carbon emissions.

[0006] (2) Low energy efficiency leads to increased carbon emissions.

[0007] (3) The lack of efficient energy equipment and optimized energy use strategies makes it impossible to achieve the goal of reducing carbon emissions.

[0008] In view of this, a method for constructing a carbon emission flow allocation model for an energy station that takes energy quality into consideration is needed. Summary of the invention

[0009] In view of the problems existing in the prior art, the present invention provides a method for constructing a carbon emission flow allocation model for an energy station considering energy quality, which can integrate energy quality and The concept of efficiency is introduced into the energy station model, the relationship between the carbon potential of the input and output port nodes is established, the carbon flow coupling relationship taking into account the carbon flow loss is analyzed, and the responsibility for carbon emissions of the energy station is shared. The specific technical solution is as follows:

[0010] A method for constructing a carbon emission flow allocation model for an energy station considering energy quality includes:

[0011] by Efficiency is used as a measure of the quality of heterogeneous energy sources such as electricity, gas and heat in energy stations;

[0012] Define the carbon flow rate relationship between the input port and the output port of the single-input-single-output device and the single-input-multiple-output device, and establish a The optimal energy-carbon coupling tracking and allocation model for energy conversion devices considering equipment losses;

[0013] Definition based on The carbon emission flow rate conversion efficiency of the efficiency represents the relationship between the input and output carbon flow rates of the energy conversion device, and is defined based on The carbon flow rate coupling matrix and conversion relationship of the efficiency are used to describe the relationship between the carbon potential of the input and output ports of the energy station, and the carbon flow rate of the energy station is based on the carbon flow rate of the efficiency. The optimal energy-carbon coupling tracking and allocation model for energy stations considering equipment losses in terms of efficiency.

[0014] Preferably, the Efficiency including transformer Efficiency, electricity and heat production in combined heat and power Efficiency and gas boilers efficiency.

[0015] Preferably, the The optimal energy-carbon coupling tracking and allocation model for energy conversion devices considering equipment loss includes The optimal energy-carbon coupling tracking and allocation model for a single-input-single-output conversion device considering equipment loss and based on Efficiency optimal carbon coupling tracking allocation model for single-input-multiple-output conversion device considering equipment loss.

[0016] Preferably, the The steps for establishing the optimal energy-carbon coupling tracking and allocation model for a single-input-single-output conversion device considering equipment loss are as follows:

[0017] For a single-input-single-output conversion device that takes into account equipment losses, all carbon emissions associated with the input energy should be allocated entirely to the output energy and the conversion device itself;

[0018] Introduction Efficiency, based on The optimal energy-carbon coupling tracking and allocation model for a single-input-single-output conversion device considering equipment loss can be expressed as follows:

[0019]

[0020] is the node carbon potential at the output port of the single-input-single-output conversion device, is the node carbon potential at the input of the single-input-single-output conversion device, μ S It is the carbon potential conversion efficiency of the single-input-single-output conversion device.

[0021] Preferably, the The steps for establishing the optimal energy-carbon coupling tracking and allocation model for a single-input-multiple-output conversion device considering equipment loss are as follows:

[0022] For a single-input-multiple-output conversion device that takes into account equipment loss, 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 conversion device, as shown in the following formula:

[0023]

[0024] In the formula, and are the input carbon flow rate, the carbon flow rate of the output port and the carbon flow rate loss of the single-input-multiple-output conversion device respectively;

[0025] Based on The efficiency allocation method allocates carbon emissions among multiple output energy conversion devices as shown below:

[0026]

[0027] In the formula,

[0028] based on The optimal energy-carbon coupling tracking allocation model for a single-input-multiple-output conversion device considering equipment loss is as follows:

[0029]

[0030] In the formula, and They are CPCEs of two output ports of a single-input-multiple-output conversion device; The node carbon potential of the input port of the single-input-multiple-output conversion device; and is the node carbon potential of output ports 1 and 2 of the single-input-multiple-output conversion device.

[0031] Preferably, the The efficiency of carbon emission flow rate conversion is The product of efficiency and carbon potential conversion efficiency.

[0032] Preferably, the definition is based on input , Output and The carbon flow rate coupling matrix R of the efficiency and the conversion relationship are used to describe the relationship between the carbon potential of the input and output ports of the energy station, as shown below:

[0033] E ex out E out =RE exin E in

[0034] In the formula, E in is the input carbon potential vector, E out is the output carbon potential vector. E ex in Input for energy station , E ex out Output of the energy station

[0035] Preferably, the The optimal energy-carbon coupling tracking model for efficient energy stations is as follows:

[0036]

[0037] In the formula, λ ex T , ex GB Respectively based on The efficiency of the transformer, gas boiler, and the carbon emission flow rate conversion of cogeneration to electricity and heat, r is the column vector of the internal carbon flow of the energy station, r i and r o are the carbon flow input and output column vectors, respectively.

[0038] Compared with the prior art, the present invention has the following beneficial effects:

[0039] 1. Compared with the existing energy station carbon emission flow allocation model, this invention considers the energy quality and Efficiency is introduced into the carbon emission flow allocation model of energy stations. After the introduction of energy quality, the model can consider the differences in calorific value, environmental impact and other aspects of different energy sources, so as to more accurately evaluate the contribution of various energy sources to carbon emissions. The consideration of quantity and quality synergy enables the model to focus on the quantity and quality of energy at the same time, and achieve more refined energy management.

[0040] 2. The present invention defines the carbon flow rate relationship between the input port and the output port of the SISO device and the SIMO device, and establishes a carbon flow rate relationship based on The optimal energy-carbon coupling tracking and allocation model for energy conversion devices considering equipment loss is obtained. The conversion efficiency allocation method allocates carbon emissions among multi-output energy conversion devices, which can more accurately reflect the loss and efficiency of energy during the conversion process, thereby improving the accuracy of carbon emission allocation. The traditional carbon emission flow allocation model only considers the total amount of energy or a single conversion efficiency, and cannot fully reflect the actual situation of energy use.

[0041] 3. The present invention is defined based on The carbon emission flow rate conversion efficiency of the efficiency represents the relationship between the input and output carbon flow rates of the energy conversion device, and is defined based on The carbon flow rate coupling matrix and conversion relationship of the efficiency are used to describe the relationship between the carbon potential of the input and output ports of the energy station, and the carbon flow rate of the energy station is based on the carbon flow rate of the efficiency. The optimal energy-carbon coupling tracking and allocation model for energy stations considering equipment loss is introduced. Efficiency: The model can more accurately identify high-emission links and potential energy-saving points in energy use. This helps energy stations develop more targeted emission reduction strategies, optimize energy configuration, and reduce overall carbon emissions. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following is a brief introduction to the drawings required for the specific embodiments or the description of the prior art. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, the elements or parts are not necessarily drawn according to the actual scale.

[0043] Figure 1 This is the structural diagram of the energy station.

[0044] Figure 2 For SISO devices Schematic diagram of flow-carbon flow relationship.

[0045] Figure 3 For SIMO devices Schematic diagram of flow-carbon flow relationship.

[0046] Figure 4 Electricity, gas and heat for energy stations Schematic diagram of steady-state flow distribution.

[0047] Figure 5 Schematic diagram of the steady-state distribution of electricity-gas-heat carbon emission flows in an energy station.

[0048] Figure 6 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0049] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0050] It should be understood that when used in this specification and the appended claims, the terms "include" and "comprises" indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or combinations thereof.

[0051] It should also be understood that the terms used in the present specification are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the present specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0052] It should be further understood that the term "and / or" used in the present description and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0053] Example:

[0054] See also Figure 6 , a method for constructing a carbon emission flow allocation model of an energy station considering energy quality, comprising:

[0055] S1, Efficiency is a measure of the quality of multiple heterogeneous energy sources such as electricity, gas and heat in energy stations. It can be understood that energy has dual value attributes of "quantity" and "quality". The concept of represents the effective energy part of energy, that is, the part of energy that can be converted into useful work in theory, which can be used to measure the "quantity" and "quality" of different forms of energy. Efficiency is a quantitative and qualitative synergistic indicator that serves as a measure of the quality of multiple heterogeneous energy sources such as electricity, gas, and heat in energy stations, including transformers (T). Efficiency, combined heat and power (CHP) power and heat generation Efficiency, gas boiler (GB) Efficiency, where the transformer Efficiency, CHP gas heat generation Efficiency, CHP gas to electricity Efficiency, GB gas heat generation The efficiency is calculated as follows:

[0056]

[0057] In the formula: the energy quality coefficient of electricity is 1, the energy quality coefficient of hot water is 0.141 of 50 / 40℃ hot water, and the energy quality coefficient of natural gas is 0.62.

[0058] S2. Define the carbon flow rate relationship between the input port and the output port of the single input-single output (SISO) and single input-multiple output (SIMO) devices, and establish a carbon flow rate relationship based on The optimal energy-carbon coupling tracking and allocation model of energy conversion devices considering equipment loss; it can be understood that in order to analyze To understand the carbon flow law in the process of energy conversion, we first need to establish the carbon flow model of the main energy conversion devices in the energy station. They can be mainly divided into two types: SISO conversion devices, such as power transformers and gas boilers, and SIMO conversion devices, such as cogeneration units, as follows:

[0059] (1) Based on The steps for establishing the optimal energy-carbon coupling tracking and allocation model for a single-input-single-output (SISO) conversion device considering equipment loss are as follows:

[0060] For a single-input-single-output conversion device that takes into account equipment losses, all carbon emissions associated with the input energy should be allocated to the output energy and the conversion device itself. The relationship between the carbon flow rates of the input port and the output port is shown in the following formula:

[0061]

[0062] In the formula, and are the input carbon flow rate, output carbon flow rate and carbon flow rate loss of the SISO conversion device (tCO2 / h);

[0063] Introduction Efficiency, based on The optimal energy-carbon coupling tracking and allocation model for a single-input-single-output conversion device considering equipment loss can be expressed as follows:

[0064]

[0065] is the node carbon potential at the output port of the single-input-single-output (SISO) converter, is the node carbon potential at the input of the single-input-single-output (SISO) converter, μ S It is the carbon potential conversion efficiency of the single-input-single-output conversion device.

[0066] Take gas boiler (GB) as an example: For this type of energy conversion device, All associated carbon emissions should be allocated to output And the conversion device itself, the relationship between the carbon flow rate of the input port and the output port is as follows:

[0067]

[0068] Right now:

[0069]

[0070] In the formula, r ex in 、r ex out and They are the input carbon flow rate, output carbon flow rate and carbon flow rate loss of the gas boiler (tCO2 / h); and are the node carbon potentials (tCO2 / kWh) at the input and output ports of the gas boiler respectively; E ex in 、E ex out and E ex loss The input is GB respectively , Output and Loss (MW).

[0071] Combining the carbon flow rate relationship between GB input port and output port and GB Efficiency formula, the carbon flow model of GB is as follows:

[0072]

[0073] Reference pair Efficiency η ex The definition of , can define the energy conversion device carbon potential conversion efficiency μ ex , characterizing the carbon potential relationship between the input and output ports of the energy conversion device. From the above formula, we can see that the carbon potential conversion efficiency μ of GB ex GB =1, Figure 2 Taking GB as an example, the SISO device is described Flow-carbon flow relationship.

[0074] Similarly, the carbon flow models of the other two SISO conversion devices, electric boiler and power transformer, are as follows:

[0075]

[0076] In the formula, μ ex EB and μ ex T Considering the electric boiler and power transformer input respectively and output The carbon potential conversion efficiency; and are the nodal carbon potentials at the input ports of the electric boiler and the power transformer, respectively; and They are the node carbon potentials of the output ports of the electric boiler and the power transformer, respectively.

[0077] (2) Based on The steps for establishing the optimal energy-carbon coupling tracking and allocation model of a single-input-multiple-output (SIMO) conversion device considering equipment loss are as follows:

[0078] For a single-input-multiple-output conversion device that takes into account equipment loss, 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 conversion device, as shown in the following formula:

[0079]

[0080] In the formula, and are the input carbon flow rate, the carbon flow rate of the output port and the carbon flow rate loss of the single-input-multiple-output conversion device respectively;

[0081] Based on The efficiency allocation method allocates carbon emissions among multiple output energy conversion devices as shown below:

[0082]

[0083] based on The optimal energy-carbon coupling tracking allocation model of the single-input-multiple-output (SIMO) conversion device considering equipment loss is as follows:

[0084]

[0085] In the formula, and They are CPCEs of two output ports of a single-input-multiple-output conversion device; The node carbon potential of the input port of the single-input-multiple-output conversion device; and is the node carbon potential of output ports 1 and 2 of the single-input-multiple-output conversion device.

[0086] Taking the CHP unit as an example, the carbon emission balance law still holds true. 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 conversion device, as shown in formula (12):

[0087]

[0088] Right now:

[0089]

[0090] In the formula, and They are the input carbon flow rate, output electric carbon flow rate, output thermal carbon flow rate and carbon flow rate loss (tCO2 / h) of the CHP unit; and are the node carbon potential (tCO2 / kWh) of the CHP unit input and output electricity and output heat ports respectively; E ex in , and E ex loss Input for CHP units , output power Value, output heat energy Value and CHP unit Loss (MW).

[0091] There are differences in carbon emission allocation between SIMO devices and SISO devices. The two devices have different working principles and output characteristics during energy utilization and conversion, which leads to significant differences in carbon emission management. For SISO devices, the allocation of carbon emissions is relatively simple and straightforward because it only produces one energy output. However, SIMO devices are much more complicated because they can produce multiple forms of energy at the same time, such as electricity and heat.

[0092] In SIMO devices, the allocation of carbon emissions becomes particularly important and complex. In order to ensure fairness and efficiency, carbon emissions must be allocated to different output energies according to certain rules. Efficient carbon emission allocation method. Efficiency is a key indicator for measuring the efficiency of energy conversion and utilization, which reflects the effective utilization of energy in the energy conversion process. The core idea of ​​this method is that the allocation of carbon emissions should be consistent with the distribution of electricity and heat output. Efficiency is proportional to If the efficiency is higher, then it should bear more carbon emission responsibility; on the contrary, if The lower the efficiency, the less carbon emission responsibility should be borne. As shown in the following formula:

[0093]

[0094] Combined with the carbon flow rate relationship between the input port and the output port of the CHP unit and the CHP unit The efficiency formula can be used to obtain the carbon flow model of the CHP unit as shown in formula (15). Figure 3 Taking a combined heat and power unit as an example, the SIMO device is described Flow-carbon flow relationship.

[0095]

[0096] In the formula, and They are the carbon potential conversion efficiency of gas-to-electricity and gas-to-heat of CHP units respectively; is the node carbon potential of the CHP unit input port; and They are the node carbon potentials of the CHP unit output electricity / heat ports respectively.

[0097] It should also be noted that the typical energy station structure is as follows: Figure 1 As shown in Figure 2, if the hub model is used for construction, the matrix and vector mathematical expressions in the hub model can represent the conversion and storage process between different energy sources. The hub model consists of three parts: input Vector E exin , conversion matrix C and output Vector E exout , the relationship is as follows:

[0098] E ex out =CE ex in

[0099] By input , Output and The hub model of efficiency construction is expressed as follows:

[0100]

[0101] Where: υ is the natural gas distribution coefficient of CHP.

[0102] S3, definition based on The carbon emission flow rate conversion efficiency of the efficiency represents the relationship between the input and output carbon flow rates of the energy conversion device, and is defined based on The carbon flow rate coupling matrix and conversion relationship of the efficiency are used to describe the relationship between the carbon potential of the input and output ports of the energy station, and the ... The optimal energy-carbon coupling tracking and allocation model for energy stations considering equipment losses in terms of efficiency.

[0103] It can be understood that the relationship between the input and output carbon flow rates of the energy conversion device described in this embodiment is Efficiency η ex and carbon potential conversion efficiency μ are related, so the definition is based on Efficiency of carbon emission flow rate conversion efficiency λ ex , whose size can be determined by η ex The product of and μ is given, which represents the relationship between the input and output carbon flow rates of the energy conversion device:

[0104] λ ex =η ex ·μ

[0105] Referring to the definition of the energy hub model, in order to describe the relationship between the carbon potential of the input and output ports of the energy station, the definition is based on the input , Output and The efficiency carbon flow rate coupling matrix R and the conversion relationship are used to describe the relationship between the carbon potential of the EH input and output ports, as shown below:

[0106] E ex out E out =RE ex in E in

[0107] In the formula, E in is the input carbon potential vector, E out is the output carbon potential vector. E ex in Input for energy station , E ex out Output of the energy station .

[0108]

[0109] Right now:

[0110]

[0111] in:

[0112]

[0113] In the formula, and Respectively based on The efficiency of T, GB, CHP to electricity and heat conversion of carbon emission flow rate conversion efficiency can be used Efficiency η ex It is expressed as the product of μ and carbon potential conversion efficiency μ.

[0114] According to the above derivation, we can conclude that Figure 1 Based on the The optimal energy-carbon coupling tracking model for efficient energy stations is as follows:

[0115]

[0116] Where: r is the column vector of carbon flow inside the energy station; r i and r o are the carbon flow input and output column vectors, respectively.

[0117] The following example combines the above device input Output and The efficiency-based carbon hub model is analyzed as described below:

[0118] This example selects a typical energy station for analysis. The power and heat loads provided by the energy station in a specific operation scenario are 7.5152MW and 1.2705MW respectively. The carbon potential of the energy station input power node and the carbon potential of the natural gas node are set to 0.386tCO2 / kWh and 0.325tCO2 / kWh respectively. The topology of the energy station is as follows: Figure 1 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 υ = 0.5.

[0119] Table 1 Energy conversion equipment efficiency

[0120]

[0121] Based on the energy hub and carbon hub matrix model considering carbon loss, the quality attributes of energy are considered. It can be used as a reasonable parameter to measure energy quality. Parameters are introduced into the energy station carbon flow analysis and calculation to solve the energy station input and output port energy flow relationship matrix C and the carbon emission flow rate coupling matrix R, as shown below:

[0122]

[0123] based on The EH optimal energy-carbon coupling tracking model for efficiency is as follows:

[0124]

[0125] Considerations within EH The efficiency of the multi-energy tidal steady-state distribution and the multi-energy carbon flow steady-state distribution are as follows Figure 5 and 6 shown.

[0126] from Figure 5 and 6 It can be seen that the CHP unit and GB unit have large losses in the heat production process. This is because the energy quality coefficient of natural gas is 0.62, and the energy quality coefficient of 50 / 40℃ hot water is 0.141, which leads to the CHP unit and GB unit having large losses in the heat production process. The efficiency is low. Under the combined effect of efficiency and carbon potential conversion efficiency, the three devices are allocated corresponding carbon flows. Figure 6It can be seen that the carbon potential of the EH output node is higher than that of the input, while the carbon potential of the thermal output node is lower than that of the input. This is also caused by the different carbon potential conversion efficiencies of different energy conversion devices, that is, μ ex T =μ ex GB =1,

[0127] Those of ordinary skill in the art will appreciate that the units of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition of each example has been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0128] In the embodiments provided by the present invention, it should be understood that the division of units is only a logical function division, and there may be other division methods in actual implementation, for example, multiple units can be combined into one unit, one unit can be split into multiple units, or some features can be ignored, etc.

[0129] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0130] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-0nlyMemory), random access memory (RAM, RandomAccessMemory), mobile hard disk, magnetic disk or optical disk, etc., which can store program code.

[0131] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. These modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope of the claims and specification of the present invention.

Claims

1. A method for constructing a carbon emission flow allocation model for an energy station considering energy quality, characterized in that: include: by Efficiency is used as a measure of the quality of heterogeneous energy sources such as electricity, gas and heat in energy stations; Define the carbon flow rate relationship between the input port and the output port of the single-input-single-output device and the single-input-multiple-output device, and establish a The optimal energy-carbon coupling tracking and allocation model for energy conversion devices considering equipment losses; Definition based on The carbon emission flow rate conversion efficiency of the efficiency represents the relationship between the input and output carbon flow rates of the energy conversion device, and is defined based on The carbon flow rate coupling matrix and conversion relationship of the efficiency are used to describe the relationship between the carbon potential of the input and output ports of the energy station, and the carbon flow rate of the energy station is based on the carbon flow rate of the efficiency. The optimal energy-carbon coupling tracking and allocation model for energy stations considering equipment losses in terms of efficiency.

2. According to the method for constructing a carbon emission flow allocation model of an energy station considering energy quality according to claim 1, it is characterized in that: Said Efficiency including transformer Efficiency, electricity and heat production in combined heat and power Efficiency and gas boilers efficiency.

3. According to the method for constructing a carbon emission flow allocation model of an energy station considering energy quality according to claim 1, it is characterized in that: The basis The optimal energy-carbon coupling tracking and allocation model for energy conversion devices considering equipment loss includes The optimal energy-carbon coupling tracking and allocation model for a single-input-single-output conversion device considering equipment loss and based on Efficiency optimal carbon coupling tracking allocation model for single-input-multiple-output conversion device considering equipment loss.

4. The method for constructing a carbon emission flow allocation model for an energy station considering energy quality according to claim 3 is characterized in that: The basis The steps for establishing the optimal energy-carbon coupling tracking and allocation model for a single-input-single-output conversion device considering equipment loss are as follows: For a single-input-single-output conversion device that takes into account equipment losses, all carbon emissions associated with the input energy should be allocated entirely to the output energy and the conversion device itself; Introduction Efficiency, based on The optimal energy-carbon coupling tracking and allocation model for a single-input-single-output conversion device considering equipment loss can be expressed as follows: is the node carbon potential at the output port of the single-input-single-output conversion device, is the node carbon potential at the input of the single-input-single-output conversion device, μ S It is the carbon potential conversion efficiency of the single-input-single-output conversion device.

5. The method for constructing a carbon emission flow allocation model for an energy station considering energy quality according to claim 4 is characterized in that: The basis The steps for establishing the optimal energy-carbon coupling tracking and allocation model for a single-input-multiple-output conversion device considering equipment loss are as follows: For a single-input-multiple-output conversion device that takes into account equipment loss, 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 conversion device, as shown in the following formula: In the formula, and are the input carbon flow rate, the carbon flow rate of the output port and the carbon flow rate loss of the single-input-multiple-output conversion device respectively; Based on The efficiency allocation method allocates carbon emissions among multiple output energy conversion devices as shown below: In the formula, based on The optimal energy-carbon coupling tracking allocation model for a single-input-multiple-output conversion device considering equipment loss is as follows: In the formula, and are the carbon potential conversion efficiencies of the two output ports of the single-input-multiple-output conversion device; The node carbon potential of the input port of the single-input-multiple-output conversion device; and is the node carbon potential of output ports 1 and 2 of the single-input-multiple-output conversion device.

6. The method for constructing a carbon emission flow allocation model for an energy station considering energy quality according to claim 1 is characterized in that: The basis The efficiency of carbon emission flow rate conversion is The product of efficiency and carbon potential conversion efficiency.

7. The method for constructing a carbon emission flow allocation model for an energy station considering energy quality according to claim 6, characterized in that: The definition is based on the input Output and The carbon flow rate coupling matrix R of the efficiency and the conversion relationship are used to describe the relationship between the carbon potential of the input and output ports of the energy station, as shown below: HAVE BEEN exout HAVE BEEN out =RE exin HAVE BEEN in In the formula, E in is the input carbon potential vector, E out is the output carbon potential vector. E exin Input for energy station E exout Output of the energy station 8. The method for constructing a carbon emission flow allocation model for an energy station considering energy quality according to claim 7, characterized in that: The basis The optimal energy-carbon coupling tracking model for efficient energy stations is as follows: In the formula, λ exT , exGB , Respectively based on Efficiency transformers, gas boilers, cogeneration The carbon emission flow rate conversion efficiency of power generation and heat generation, r is the internal carbon flow column vector of the energy station, r i and r o are the carbon flow input and output column vectors, respectively.

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