Carbon emission metering method and device based on marginal carbon emission rate and green electricity transaction contract

Abstract

The invention relates to the technical field of renewable energy sources, in particular to a carbon emission metering method and device based on a marginal carbon emission rate and a green power transaction contract, and the method comprises the steps: calculating the carbon emission of a non-green power unit at a power generation side; calculating the carbon emission intensity of the power utilization side based on the carbon emission of the non-green generator set on the power generation side; and for the user who signs the green electricity transaction contract and newly increases the electricity demand, calculating the carbon emission rate and the marginal carbon emission rate of the user, and calculating the carbon emission of the user based on the carbon emission rate, the marginal carbon emission rate and the green electricity transaction contract of the user. Therefore, the influence of the time-varying carbon emission rate of the power system and the green power contract can be comprehensively considered, so that the carbon emission of the user can be accurately calculated and evaluated.

Description

Technical Field

[0001] The present invention relates to the field of renewable energy technology, and in particular to a carbon emission measurement method and device based on marginal carbon emission rate and green electricity trading contract. Background Art

[0002] As global attention to climate change grows, reducing carbon emissions from power systems has become a key goal worldwide. Governments, businesses and the public have taken measures to address the challenges of climate change, especially in the energy sector, where carbon emissions control from power systems has become an important issue. In this context, it is particularly important to accurately assess and reduce users' carbon emissions.

[0003] At present, existing technologies usually use fixed carbon emission factors when calculating the carbon emission factors of electricity consumption of users. These fixed factors are usually calculated based on the average value of the power system as a whole. However, this method has certain limitations because the carbon emission rate in the power system is not constant. The carbon emission rate of the power system is affected by many factors, such as changes in power generation sources, fluctuations in fuel prices, and changes in grid load. These factors cause the carbon emission rate of the power system to have obvious time-varying characteristics.

[0004] In addition, the implementation of green power trading contracts has also had an important impact on users' actual carbon emissions. Green power trading contracts allow users to purchase electricity from renewable energy sources, which usually have a much lower carbon emission factor than electricity generated from traditional fossil fuels. With the popularity of green power trading, users' actual carbon emissions are closely related to their electricity sources. Therefore, the calculation method based on a fixed carbon emission factor may not accurately reflect the actual carbon emissions of users.

[0005] Comprehensively considering the time-varying carbon emission rate of the power system and the impact of green power contracts is crucial for accurately assessing users' carbon emissions. This not only helps to improve the accuracy of carbon emission data, but also provides a scientific basis for formulating more effective carbon emission reduction strategies. How to comprehensively consider the time-varying carbon emission rate of the power system and the impact of green power contracts to accurately assess users' carbon emissions has become a problem that needs to be solved urgently. Summary of the invention

[0006] In view of this, the purpose of the present invention is to provide a carbon emission measurement method and device based on marginal carbon emission rate and green electricity trading contract, so as to overcome the current problem of being unable to comprehensively consider the time-varying carbon emission rate of the power system and the impact of green electricity contracts, thereby being unable to accurately assess the user's carbon emissions.

[0007] To achieve the above objectives, the present invention adopts the following technical solutions:

[0008] In a first aspect, the embodiment of the present application provides a carbon emission measurement method based on marginal carbon emission rate and green electricity trading contract, including:

[0009] Calculate carbon emissions from non-green power units on the power generation side;

[0010] Calculate the carbon emission intensity on the electricity consumption side based on the carbon emissions of the non-green power units on the power generation side;

[0011] For users who have signed green electricity trading contracts and have new electricity demand, their carbon emission rate and marginal carbon emission rate are calculated, and the user's carbon emissions are calculated based on the carbon emission rate, the marginal carbon emission rate and the user's green electricity trading contract.

[0012] Furthermore, in some embodiments of the present application, the calculation formula for carbon emissions of non-green power units on the power generation side is:

[0013]

[0014] Where j is the area mark; i is the unit mark; t is the time mark; C j，t is the carbon emission corresponding to region j at time t; G i，t is the power generation of unit i in region j at time t, λ i is the carbon emission baseline value of unit i.

[0015] Furthermore, in some embodiments of the present application, the calculation formula for the carbon emission intensity on the electricity consumption side is:

[0016]

[0017] Among them, F j，t is the carbon emission intensity of the electricity consumption side; P n，j，t is the amount of electricity input from area n to area j at time t; C n，t is the carbon emission of region n at time t; P j，n，t is the output power of region j to region n at time t; δ j，n is the carbon emission coefficient corresponding to the transmission line loss from region n to region j; (U i，t ) is the power consumption of unit i in area j at time t.

[0018] Furthermore, in some embodiments of the present application, the calculation formula of the carbon emission rate is:

[0019]

[0020] Where k is the user's identifier; F′ j，t，k is the carbon emission rate of user k in region j at time t; u k is the total power consumption of user k; p kThe amount of electricity corresponding to the green electricity trading contract signed by user k.

[0021] Furthermore, in some embodiments of the present application, when the user load increases, if the non-green power units in region j still have output capacity, the marginal carbon emission rate corresponding to the user is the carbon emission baseline value of the units in region j.

[0022] Furthermore, in some embodiments of the present application, when the user load increases, if the non-green power units in region j cannot continue to increase their output, the marginal carbon emission rate corresponding to the user is the carbon emission intensity on the electricity consumption side of region j.

[0023] Furthermore, in some embodiments of the present application, it also includes:

[0024] For users who have signed a green electricity trading contract but do not need additional electricity demand, their carbon emission rate is calculated, and the carbon emissions of the user are calculated based on the carbon emission rate and the green electricity trading contract of the user.

[0025] Furthermore, in some embodiments of the present application, for a user who has signed a green electricity trading contract, when his total electricity consumption is less than or equal to the electricity consumption corresponding to the green electricity trading contract he has signed, the carbon emissions of the user are determined to be zero.

[0026] Furthermore, in some embodiments of the present application, it also includes: for users who have not signed a green electricity trading contract, the carbon emissions of the user are calculated based on the carbon emission intensity of the electricity consumption side corresponding to the user.

[0027] In a second aspect, an embodiment of the present application provides a carbon emission metering device based on a marginal carbon emission rate and a green electricity trading contract, including a processor and a memory, wherein the processor is connected to the memory:

[0028] Wherein, the processor is used to call and execute the program stored in the memory;

[0029] The memory is used to store the program, and the program is at least used to execute the above-mentioned carbon emission measurement method based on marginal carbon emission rate and green electricity trading contract.

[0030] The present invention relates to the field of renewable energy technology, and specifically to a carbon emission measurement method and device based on marginal carbon emission rate and green electricity trading contract, the method comprising: calculating the carbon emission of non-green power units on the power generation side; calculating the carbon emission intensity on the power consumption side based on the carbon emission of non-green power units on the power generation side; for users who have signed green electricity trading contracts and have new electricity demand, calculating their carbon emission rate and marginal carbon emission rate, and calculating the carbon emission of the user based on the carbon emission rate, marginal carbon emission rate and the green electricity trading contract of the user. In this way, it is possible to comprehensively consider the time-varying carbon emission rate of the power system and the impact of the green electricity contract, thereby accurately calculating and evaluating the carbon emissions of users. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0032] Figure 1 It is a flow chart of a carbon emission measurement method based on marginal carbon emission rate and green electricity trading contract provided by an embodiment of the present invention;

[0033] Figure 2 It is a flow chart of a carbon emission measurement method based on marginal carbon emission rate and green electricity trading contract provided by another embodiment of the present invention;

[0034] Figure 3 It is a structural schematic diagram of a carbon emission metering device based on marginal carbon emission rate and green electricity trading contract provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0035] To make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be described in detail below. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other implementation methods obtained by ordinary technicians in this field without creative work belong to the scope of protection of the present invention.

[0036] Figure 1 This is a flow chart of a carbon emission measurement method based on marginal carbon emission rate and green electricity trading contract provided by an embodiment of the present invention. Figure 1 , this embodiment may include the following steps:

[0037] S101. Calculate the carbon emissions of non-green power units on the power generation side.

[0038] S102. Calculate the carbon emission intensity on the electricity consumption side based on the carbon emissions of non-green power units on the power generation side.

[0039] S103. For users who have signed green electricity trading contracts and have new electricity demand, calculate their carbon emission rate and marginal carbon emission rate, and calculate the user's carbon emissions based on the carbon emission rate, marginal carbon emission rate and the user's green electricity trading contract.

[0040] The carbon emission measurement method based on marginal carbon emission rate and green electricity trading contract provided in the embodiment of the present application calculates the carbon emissions of non-green power units on the power generation side; calculates the carbon emission intensity on the electricity consumption side based on the carbon emissions of non-green power units on the power generation side; calculates the carbon emission rate and marginal carbon emission rate of users who have signed green electricity trading contracts and have new electricity demand, and calculates the carbon emissions of the user based on the carbon emission rate, marginal carbon emission rate and the green electricity trading contract of the user. This can comprehensively consider the time-varying carbon emission rate of the power system and the impact of green electricity contracts, thereby accurately calculating and evaluating the user's carbon emissions.

[0041] Further, in some embodiments of the present application, the formula for calculating the carbon emissions of non-green power units on the power generation side is as follows:

[0042]

[0043] Where j is the area mark; i is the unit mark; t is the time mark; C j，t is the carbon emission corresponding to region j at time t; G i，t is the power generation of unit i in region j at time t, λ i is the carbon emission baseline value of unit i.

[0044] On this basis, the carbon emission intensity on the electricity consumption side is calculated using the calculated carbon emissions of non-green power units on the power generation side. The specific formula is as follows:

[0045]

[0046] Among them, F j，t is the carbon emission intensity of the electricity consumption side; P n，j，t is the amount of electricity input from area n to area j at time t; C n，t is the carbon emission of region n at time t; P j，n，t is the output power of region j to region n at time t; δ j，n is the carbon emission coefficient corresponding to the transmission line loss from region n to region j; (Ui, t) is the power consumption of unit i in region j at time t.

[0047] It can be understood that in the above formula (2), That is, the carbon emission intensity of non-green power units on the power generation side in region n, That is, the carbon emission intensity of non-green power units on the power generation side in region j, ∑ j (P j，n，t δ j，n ) is the carbon emission corresponding to the transmission line loss from region n to region j, ∑ i∈j (U i，t ) is the power consumption of area j at time t.

[0048] On this basis, for users who have signed green electricity trading contracts, their carbon emission rate and marginal carbon emission rate can be calculated based on the above parameters.

[0049] Specifically, the calculation formula for carbon emission rate is:

[0050]

[0051] Where k is the user's ID; F′ j，t，k is the carbon emission rate of user k in region j at time t; u k is the total power consumption of user k; p k is the amount of electricity corresponding to the green electricity trading contract signed by user k. It should be noted that for users who have not signed a green electricity trading contract, their carbon emission rate F j，t，k It can also be calculated by the above formula (3), as long as the p related to the green power trading contract is removed k That's it.

[0052] The calculation of the marginal carbon emission rate can be divided into different situations, including the situation where the regional unit has output space (that is, at time t, when the load of a certain user increases, if the non-green power units in region j still have output capacity) and the situation where the regional unit has no output space (if the non-green power units in region j cannot continue to increase their output, the output of other users needs to be reduced).

[0053] In the case where the regional unit has output space, the user's marginal carbon emission rate M' j，t Take the marginal carbon emission rate as the carbon emission benchmark value of the unit in this area, that is, λ i ; When the regional unit has no output space, the marginal carbon emission rate of the user M′ j，t The carbon emission intensity of the electricity consumption side is F j，t .

[0054] Figure 2 This is a flow chart of a carbon emission measurement method based on marginal carbon emission rate and green electricity trading contract proposed in an embodiment of the present invention. Figure 2 In this embodiment, different strategies can be used to calculate the carbon emissions of different users, including:

[0055] First, for users who have not signed a green electricity trading contract, the carbon emissions of the user are calculated based on the carbon emission intensity of the electricity consumption side corresponding to the user. The calculation formula (first calculation rule) is:

[0056] c k =u k F j，t，k (4)

[0057] Furthermore, users with green electricity trading contracts are also divided into two categories:

[0058] The first one is that when the user carries out production and life according to the day-ahead plan, if the user has signed a green electricity trading contract, the calculation formula for its carbon emissions (the second calculation rule) is as follows:

[0059]

[0060] The first is that the user's new electricity demand needs to be calculated according to the marginal carbon emission rate. The calculation formula (i.e. the third calculation rule) is as follows:

[0061]

[0062] Compared with the traditional fixed carbon emission factor calculation method, the carbon emission measurement method based on marginal carbon emission rate and green electricity trading contract provided in this application can reflect the dynamic changes of carbon emissions in the power system in real time, and incorporate the impact of green electricity trading contracts into the calculation, providing a more scientific basis for carbon emission management. It not only helps to improve the accuracy of carbon emission data, but also provides support for the formulation of more effective carbon emission reduction strategies and policies, realizes the organic synergy of green electricity value, carbon emissions, and electricity spot market in the power system, and is conducive to the coordinated and smooth operation of carbon market, green electricity market, and electricity market.

[0063] Based on the same inventive concept, the embodiment of the present application also provides a carbon emission metering device based on marginal carbon emission rate and green electricity trading contract. Figure 3 is a structural schematic diagram of a carbon emission metering device based on marginal carbon emission rate and green electricity trading contract provided by an embodiment of the present invention, such as Figure 3 The carbon emission measurement device based on marginal carbon emission rate and green electricity trading contract of the present embodiment shown includes a processor 1 and a memory 2, and the processor 1 is connected to the memory 2. The processor 1 is used to call and execute the program stored in the memory 2; the memory 2 is used to store the program, and the program is at least used to execute the carbon emission measurement method based on marginal carbon emission rate and green electricity trading contract in the above embodiment.

[0064] The specific implementation plan of the carbon emission metering device based on marginal carbon emission rate and green electricity trading contract provided in the embodiment of the present application can refer to the implementation plan of the carbon emission metering method based on marginal carbon emission rate and green electricity trading contract in any of the above embodiments, which will not be repeated here.

[0065] It can be understood that the same or similar parts of the above embodiments can be referenced to each other, and the contents not described in detail in some embodiments can refer to the same or similar contents in other embodiments.

[0066] It should be noted that, in the description of the present invention, the terms "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. In addition, in the description of the present invention, unless otherwise specified, the meaning of "plurality" refers to at least two.

[0067] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code that includes one or more executable instructions for implementing the steps of a specific logical function or process, and the scope of the preferred embodiments of the present invention includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present invention belong.

[0068] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0069] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0070] In addition, each functional unit in each embodiment of the present invention may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0071] The storage medium mentioned above can be a read-only memory, a magnetic disk or an optical disk, etc.

[0072] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0073] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. A carbon emission measurement method based on marginal carbon emission rate and green electricity trading contract, characterized in that: include: Calculate carbon emissions from non-green power units on the power generation side; Calculate the carbon emission intensity on the electricity consumption side based on the carbon emissions of the non-green power units on the power generation side; For users who have signed green electricity trading contracts and have new electricity demand, their carbon emission rate and marginal carbon emission rate are calculated, and the user's carbon emissions are calculated based on the carbon emission rate, the marginal carbon emission rate and the user's green electricity trading contract.

2. The carbon emission measurement method based on marginal carbon emission rate and green electricity trading contract according to claim 1 is characterized in that: The calculation formula for carbon emissions from non-green generator sets on the power generation side is: Where j is the area mark; i is the unit mark; t is the time mark; C j，t is the carbon emission corresponding to region j at time t; C i，t is the power generation of unit i in region j at time t, λ i is the carbon emission baseline value of unit i.

3. The carbon emission measurement method based on marginal carbon emission rate and green electricity trading contract according to claim 2 is characterized in that: The calculation formula for the carbon emission intensity on the electricity consumption side is: Among them, F j，t is the carbon emission intensity of the electricity consumption side; P n，j，t is the amount of electricity input from area n to area j at time t; C n，t is the carbon emission of region n at time t; p j，n，t is the output power of region j to region n at time t; δ j，n is the carbon emission coefficient corresponding to the transmission line loss from region n to region j; (U i，t ) is the power consumption of unit i in area j at time t.

4. The carbon emission measurement method based on marginal carbon emission rate and green electricity trading contract according to claim 3 is characterized in that: The calculation formula of the carbon emission rate is: Where k is the user's identifier; F′ j，t，k is the carbon emission rate of user k in region j at time t; u k is the total power consumption of user k; p k The amount of electricity corresponding to the green electricity trading contract signed by user k.

5. The carbon emission measurement method based on marginal carbon emission rate and green electricity trading contract according to claim 4 is characterized in that: When the user load increases, if the non-green power units in area j still maintain their output capacity, the marginal carbon emission rate corresponding to the user will be the carbon emission baseline value of the units in area j.

6. The carbon emission measurement method based on marginal carbon emission rate and green electricity trading contract according to claim 4 is characterized in that: When the user load increases, if the non-green power units in area j cannot continue to increase their output, the marginal carbon emission rate corresponding to the user is the carbon emission intensity on the electricity consumption side of area j.

7. The carbon emission measurement method based on marginal carbon emission rate and green electricity trading contract according to claim 6 is characterized in that: Also includes: For users who have signed a green electricity trading contract but do not need additional electricity demand, their carbon emission rate is calculated, and the carbon emissions of the user are calculated based on the carbon emission rate and the green electricity trading contract of the user.

8. The carbon emission measurement method based on marginal carbon emission rate and green electricity trading contract according to claim 7 is characterized in that: For users who have signed a green electricity trading contract, if their total electricity consumption is less than or equal to the electricity corresponding to the green electricity trading contract they have signed, the user's carbon emissions are determined to be zero.

9. The carbon emission measurement method based on marginal carbon emission rate and green electricity trading contract according to claim 8 is characterized in that: Also includes: For users who have not signed a green electricity trading contract, the user's carbon emissions are calculated based on the carbon emission intensity of the user's corresponding electricity consumption side.

10. A carbon emission metering device based on marginal carbon emission rate and green electricity trading contract, characterized in that: The invention comprises a processor and a memory, wherein the processor is connected to the memory: Wherein, the processor is used to call and execute the program stored in the memory; The memory is used to store the program, and the program is at least used to execute the carbon emission measurement method based on marginal carbon emission rate and green electricity trading contract as described in any one of claims 1-9.

Images