Regional carbon emission responsibility determination method and device based on carbon emission factors, terminal equipment and storage medium

Abstract

The invention discloses a regional carbon emission responsibility determination method and device based on a carbon emission factor, terminal equipment and a storage medium. The method comprises the following steps: acquiring the electric power type, the called-in electric power total amount, the called-out electric power total amount, a first carbon emission factor, the net consumption data of fossil fuel, fuel characteristic parameters, the fuel type number, the transaction electric quantity, the local power generation amount and the non-green power utilization electric quantity of a target area; calculating the total direct carbon emission according to the net consumption data, the fuel characteristic parameters and the fuel type quantity; calculating the total indirect carbon emission according to the electric power type, the total called-in electric power, the total called-out electric power and the first carbon emission factor; calculating a regional power average carbon emission factor of the target region according to the transaction power quantity, the local power generation quantity, the total direct carbon emission quantity and the total indirect carbon emission quantity; and according to the regional power average carbon emission factor and the non-green power consumption quantity, the carbon emission responsibility of the target region is checked. According to the invention, accurate accounting of electric power carbon emission is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of power systems, and in particular, to a method, device, terminal device and storage medium for determining regional carbon emission responsibilities based on carbon emission factors. Background Art

[0002] Electric energy is a typical secondary energy source. Almost all carbon emissions in the power industry come from the power generation link, and almost no carbon dioxide is generated during the transmission and use of electric energy. However, the power system has the characteristic of real-time balance between "power generation - power consumption". The electricity consumption behavior of users greatly affects the carbon emissions of the power system, making the user side the main responsible party for power carbon emissions. Therefore, the carbon statistics of the power system not only need to measure the total direct carbon emissions generated by power generation enterprises during the power generation process, but also need to clarify the indirect carbon emissions generated by different users' electricity consumption. Indirect carbon emissions refer to the carbon emissions generated by consuming fossil energy corresponding to the power generation of the corresponding amount of electricity on the power production side to meet the electricity consumption demand on the user side, that is, the sharing of carbon emission responsibilities.

[0003] Currently, the measurement of indirect carbon emissions from electricity consumption in the power system is mainly based on the average carbon emission factor method. The unit electricity consumption carbon emission factor of users is calculated based on the annual fuel statistics value and power generation volume at the provincial or large regional power grid level. The traditional average carbon emission factor calculates the carbon content per kilowatt-hour by means of averaging, without considering the transfer of carbon emission responsibilities contained in electricity trading behavior, and cannot reasonably allocate the carbon emission responsibilities in electricity trading. Summary of the Invention

[0004] Embodiments of the present invention provide a method, device, terminal device and storage medium for determining regional carbon emission responsibilities based on carbon emission factors, which can effectively solve the problem that it is difficult to reasonably allocate carbon emission responsibilities in the prior art.

[0005] An embodiment of the present invention provides a method for determining regional carbon emission responsibilities based on carbon emission factors, including:

[0006] Obtain the power types in the target region, the total amount of imported power, the total amount of exported power for each power type, the first carbon emission factor corresponding to each power type, the net consumption data of fossil fuels, fuel characteristic parameters, the number of fuel types, the traded electricity volume, the local power generation volume, and the non-green electricity consumption volume;

[0007] Calculate according to the net consumption data, the fuel characteristic parameters, and the number of fuel types to obtain the total direct carbon emissions in the target region;

[0008] Calculate according to the power types, the total amount of imported power, the total amount of exported power, and the first carbon emission factor to obtain the total indirect carbon emissions in the target region;

[0009] Calculate based on the transaction electricity quantity, the local power generation quantity, the total direct carbon emissions, and the total indirect carbon emissions to obtain the regional average carbon emission factor of electricity in the target area;

[0010] Account for the carbon emission responsibility of the target area based on the regional average carbon emission factor of electricity and the non-green electricity consumption quantity.

[0011] Furthermore, the fuel characteristic parameters include: average low calorific value, carbon content per unit calorific value, and carbon oxidation rate;

[0012] Calculate based on the net consumption data, the fuel characteristic parameters, and the number of fuel types to obtain the total direct carbon emissions in the target area, including:

[0013] Multiply the net consumption data by the average low calorific value to obtain the fossil fuel activity data;

[0014] Multiply the carbon content per unit calorific value, the carbon oxidation rate, and the preset molecular mass ratio to obtain the carbon dioxide emission factor of fossil fuel combustion;

[0015] Multiply the fossil fuel activity data, the carbon dioxide emission factor, and the number of fuel types to obtain the total direct carbon emissions in the target area.

[0016] Furthermore, the total indirect carbon emissions include: the first indirect carbon emissions used to represent the electricity transferred into the target area from outside the target area and the second indirect carbon emissions used to represent the electricity transferred out of the target area to outside the target area;

[0017] Calculate based on the electricity type, the total quantity of transferred-in electricity, the total quantity of transferred-out electricity, and the first carbon emission factor to obtain the total indirect carbon emissions in the target area, including:

[0018] Determine the number of transferred-in electricity types of the transferred-in electricity type in the target area and the number of transferred-out electricity types of the transferred-out electricity type according to the electricity type;

[0019] Determine the transferred-in quantity corresponding to the transferred-in electricity type within the preset accounting period according to the total quantity of transferred-in electricity;

[0020] Calculate based on the corresponding transferred-in quantity, the number of transferred-in electricity types, and the first carbon emission factor to obtain the first indirect carbon emissions;

[0021] Determine the transferred-out quantity corresponding to the transferred-out electricity type within the preset accounting period according to the total quantity of transferred-out electricity;

[0022] Calculate according to the corresponding transfer volume, the number of types of transferred electricity, and the first carbon emission factor to obtain the second indirect carbon emission volume.

[0023] Further, calculate according to the traded electricity volume, the local power generation volume, the total direct carbon emissions, and the total indirect carbon emissions to obtain the regional power average carbon emission factor of the target area, including:

[0024] Determine the green certificate traded electricity volume and the first carbon emission volume corresponding to the traded electricity volume according to the traded electricity volume;

[0025] Determine the second carbon emission volume corresponding to the green certificate trading according to the green certificate traded electricity volume and the local power generation volume;

[0026] Calculate according to the first carbon emission volume, the second carbon emission volume, the total direct carbon emissions, the first indirect carbon emission volume, and the second indirect carbon emission volume to obtain the regional power average carbon emission factor of the target area.

[0027] Further, calculate the carbon emission responsibility of the target area according to the regional power average carbon emission factor and the non-green electricity consumption volume, including:

[0028] Use the regional power average carbon emission factor as the carbon emission factor for characterizing the non-green electricity part of the electricity-consuming enterprises in the target area;

[0029] Multiply the carbon emission factor of the non-green electricity part of the electricity-consuming enterprises by the non-green electricity consumption volume to determine the carbon emissions of the enterprises in the target area for electricity consumption.

[0030] As an improvement of the above solution, another embodiment of the present invention correspondingly provides a device for determining the regional carbon emission responsibility based on the carbon emission factor, including:

[0031] A regional data acquisition module, configured to acquire the power types in the target area, the total incoming power volume and the total outgoing power volume of each power type, the first carbon emission factor corresponding to each power type, the net consumption data of fossil fuels, fuel characteristic parameters, the number of fuel types, the traded electricity volume, and the local power generation volume;

[0032] A total direct carbon emissions determination module, configured to calculate according to the net consumption data, the fuel characteristic parameters, and the number of fuel types to obtain the total direct carbon emissions in the target area;

[0033] An indirect carbon emissions total determination module, configured to calculate according to the power type, the total incoming power volume, the total outgoing power volume, and the first carbon emission factor to obtain the total indirect carbon emissions in the target area;

[0034] A carbon emission factor determination module, configured to calculate based on the traded electricity quantity, the local power generation quantity, the total direct carbon emission quantity, and the total indirect carbon emission quantity to obtain the regional average carbon emission factor of the target area;

[0035] A carbon emission responsibility accounting module, configured to account the carbon emission responsibility of the target area according to the regional average carbon emission factor.

[0036] Another embodiment of the present invention provides a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements a method for determining regional carbon emission responsibility based on carbon emission factors as described in the above embodiment.

[0037] Another embodiment of the present invention provides a computer-readable storage medium, which includes a stored computer program. When the computer program runs, it controls the device where the computer-readable storage medium is located to execute a method for determining regional carbon emission responsibility based on carbon emission factors as described in the above embodiment.

[0038] By implementing the present invention, at least the following beneficial effects are achieved:

[0039] The present invention provides a method, device, terminal device, and storage medium for determining regional carbon emission responsibility based on carbon emission factors. The method can obtain the power type of the target area, the total imported power quantity and the total exported power quantity of each power type, the first carbon emission factor corresponding to each power type, the net consumption data of fossil fuels, fuel characteristic parameters, the number of fuel types, the traded electricity quantity, and the local power generation quantity; calculate based on the net consumption data, the fuel characteristic parameters, and the number of fuel types to obtain the total direct carbon emission quantity in the target area; calculate based on the power type, the total imported power quantity, the total exported power quantity, and the first carbon emission factor to obtain the total indirect carbon emission quantity of the target area; calculate based on the traded electricity quantity, the local power generation quantity, the total direct carbon emission quantity, and the total indirect carbon emission quantity to obtain the regional average carbon emission factor of the target area; account the carbon emission responsibility of the target area according to the regional average carbon emission factor and the non-green electricity consumption quantity. It covers both the total direct carbon emission quantity and the total indirect carbon emission quantity, that is, it considers the combustion of fossil fuels and the electricity trading behavior related to power import and export, quantifies the carbon emission responsibility, and thus considers the transfer of carbon emission responsibility based on each power type, and realizes accurate accounting of power carbon emissions according to the obtained average carbon emission factor of the target area, thereby providing a comprehensive assessment of the carbon emissions of the target area. Description of the Drawings

[0040] Figure 1 It is a schematic flow chart of a method for determining regional carbon emission responsibilities based on carbon emission factors provided by an embodiment of the present invention;

[0041] Figure 2 It is a schematic diagram of the first scenario considering green power trading provided by an embodiment of the present invention;

[0042] Figure 3 It is a schematic diagram of the second scenario without power exchange with other provinces and without green power trading within the province provided by an embodiment of the present invention;

[0043] Figure 4 It is a schematic diagram of the third scenario without power exchange with other provinces but with green power trading within the province provided by an embodiment of the present invention;

[0044] Figure 5 It is a schematic diagram of the fourth scenario of importing green power from other provinces without sending out provided by an embodiment of the present invention;

[0045] Figure 6 It is a schematic diagram of the fifth scenario of sending out green power to other provinces without importing provided by an embodiment of the present invention;

[0046] Figure 7 It is a schematic diagram of the sixth scenario of having green power trading within the province, importing green power from other provinces and sending out green power to other provinces provided by an embodiment of the present invention;

[0047] Figure 8 It is a schematic diagram of the seventh scenario considering green certificate trading provided by an embodiment of the present invention;

[0048] Figure 9 It is a schematic diagram of the eighth scenario without any green certificate trading provided by an embodiment of the present invention;

[0049] Figure 10 It is a schematic diagram of the ninth scenario where an enterprise within the province buys green certificates from other provinces provided by an embodiment of the present invention;

[0050] Figure 11 It is a schematic diagram of the tenth scenario of selling green certificates to enterprises in other provinces provided by an embodiment of the present invention;

[0051] Figure 12 It is a schematic diagram of the eleventh scenario of having green certificate trading within the province provided by an embodiment of the present invention;

[0052] Figure 13 It is a schematic diagram of the twelfth scenario of having green certificate trading within the province, buying green certificates from other provinces and selling green certificates to other provinces provided by an embodiment of the present invention;

[0053] Figure 14 It is a schematic diagram of the thirteenth scenario of enterprise carbon emission responsibility accounting provided by an embodiment of the present invention;

[0054] Figure 15 It is a schematic structural diagram of a device for determining regional carbon emission responsibility based on carbon emission factors provided by an embodiment of the present invention. Specific embodiments

[0055] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative efforts belong to the scope of protection of the present invention.

[0056] See Figure 1 , which is a schematic flow chart of a method for determining regional carbon emission responsibility based on carbon emission factors provided by an embodiment of the present invention, including:

[0057] S1. Obtain the power types of the target region, the total amount of imported power, the total amount of exported power, the first carbon emission factors corresponding to each power type, the net consumption data of fossil fuels, fuel characteristic parameters, the number of fuel types, the traded electricity, the local power generation, and the non-green electricity consumption of the target region;

[0058] Specifically, the power types include thermal power, hydropower, wind power and other types; the total amount of imported power represents the total amount of power corresponding to each power type that is net imported into the target region; the total amount of exported power represents the total amount of power corresponding to each power type that is net exported from the target region; the first carbon emission factor represents the carbon emission factor corresponding to the power type; the net consumption data represents the net consumption of fossil fuels; the fuel characteristic parameters include the average low calorific value, the carbon content per unit calorific value, and the carbon oxidation rate; the fuel types include solid fuels, liquid fuels, and gaseous fuels; the traded electricity represents the electricity volume for which the target region has completed transaction settlement; the local power generation represents the power generation of the target region; the non-green electricity consumption represents the non-green electricity part of the electricity consumption of enterprises in the target region. The non-green electricity part of the electricity consumption of enterprises refers to the part of the electricity consumption of enterprises that does not belong to green electricity (green power). Green power usually refers to the power with zero or nearly zero carbon dioxide emissions during the power generation process, which mainly includes the power generated by renewable energy sources such as wind energy, solar energy, and water energy.

[0059] S2. Calculate according to the net consumption data, the fuel characteristic parameters, and the number of fuel types to obtain the total direct carbon emissions in the target region;

[0060] Specifically, the fuel characteristic parameters include: the average low calorific value, the carbon content per unit calorific value, and the carbon oxidation rate;

[0061] Calculations are performed based on the net consumption data, the fuel characteristic parameters, and the number of fuel types to obtain the total direct carbon emissions in the target area, including:

[0062] S201. Multiply the net consumption data by the average net calorific value to obtain the fossil fuel activity data;

[0063] Specifically, the fossil fuel activity data is equal to the product of the total fuel consumption during the accounting period and its net calorific value. The calculation formula is: AD i = NCV i × FC i , where AD i represents the fossil fuel activity data; NCV i represents the average net calorific value of the i-th fossil fuel. For solid or liquid fuels, the unit is gigajoules per ton (GJ / t); for gaseous fuels, the unit is gigajoules per ten thousand standard cubic meters (GJ / 10 4 Nm 3 ); FC i represents the net consumption (net consumption data) of the i-th fossil fuel. For solid or liquid fuels, the unit is ton (t); for gaseous fuels, the unit is ten thousand standard cubic meters (10 4 Nm 3 ).

[0064] S202. Multiply the carbon content per unit calorific value, the carbon oxidation rate, and the preset molecular mass ratio to obtain the carbon dioxide emission factor for fossil fuel combustion;

[0065] In a preferred embodiment of the present invention, the carbon dioxide emission factor for fossil fuel combustion is calculated by the following formula: In the formula, EF i represents the carbon dioxide emission factor for fossil fuel combustion; CC i represents the carbon content per unit calorific value of the i-th fossil fuel, with the unit of ton of carbon per gigajoule (tC / GJ), and the data is from the "Compilation Guide for Provincial Greenhouse Gas Inventories (Trial)"; OF i represents the carbon oxidation rate of the i-th fossil fuel, expressed in %, and the default value provided in Table 1 is used. The data is from the "Compilation Guide for Provincial Greenhouse Gas Inventories (Trial)"; the preset molecular mass ratio is the ratio of the relative molecular masses of carbon dioxide to carbon.

[0066] Table 1 Default values of characteristic parameters of common fossil fuels

[0067]

[0068]

[0069]

[0070] S203. Multiply the fossil fuel activity data, the carbon dioxide emission factor, and the number of fuel types to obtain the total direct carbon emissions in the target area.

[0071] Preferably, the total direct carbon emissions in the target area represent the total carbon dioxide emissions generated by the consumption of fossil fuels for power generation enterprises in the target area during the accounting period, and are calculated by the following formula: where E g represents the total direct carbon emissions in the target area, in tons of carbon dioxide (tCO2); l represents the number of fuel types used for power generation by power generation enterprises in the target area during the accounting period.

[0072] S3. Calculate based on the power type, the total imported power, the total exported power, and the first carbon emission factor to obtain the total indirect carbon emissions in the target area;

[0073] Specifically, the total indirect carbon emissions include: the first indirect carbon emissions used to characterize the imported power from outside the target area and the second indirect carbon emissions used to characterize the exported power to outside the target area.

[0074] Calculating based on the power type, the total imported power, the total exported power, and the first carbon emission factor to obtain the total indirect carbon emissions in the target area, including:

[0075] S301. Determine the number of imported power types of the imported power type in the target area and the number of exported power types of the exported power type according to the power type;

[0076] Specifically, the number p of imported power types of the imported power type in the target area represents the number of power types with net import into the target area during the accounting period; the number q of exported power types of the exported power type represents the number of power types with net export from the target area during the accounting period.

[0077] S302. Determine the import volume corresponding to the imported power type according to the total imported power during the preset accounting period;

[0078] Specifically, the import volume Q corresponding to the imported power type j represents the total power consumption of the jth power in the net imported power during the accounting period, in megawatt-hours (MWh).

[0079] S303. Calculate based on the corresponding import volume, the number of imported power types, and the first carbon emission factor to obtain the first indirect carbon emissions;

[0080] Preferably, the first indirect carbon emission E imp represents the indirect carbon dioxide emission from the electricity transferred into the target area, with the unit of ton of carbon dioxide (tCO2), and is calculated by the following formula: In the formula, E imp represents the first indirect carbon emission; EF j represents the first carbon emission factor of the j-th type of electricity, with the unit of ton of carbon dioxide per megawatt-hour (tCO2 / MWh).

[0081] S304. Determine the transfer amount corresponding to the transferred electricity type within the preset accounting period according to the total transferred electricity amount;

[0082] Specifically, the transfer amount corresponding to the transferred electricity type represents the total electricity amount of the k-th type of electricity in the net transferred electricity within the accounting period, with the unit of megawatt-hour (MWh).

[0083] S305. Calculate according to the corresponding transfer amount, the number of transferred electricity types, and the first carbon emission factor to obtain the second indirect carbon emission.

[0084] Specifically, the second indirect carbon emission represents the total indirect carbon dioxide emission corresponding to the net transferred electricity in the entire target area within the accounting period, with the unit of ton of carbon dioxide (tCO2), and is calculated by the following formula: where, E exp represents the second indirect carbon emission; the corresponding transfer amount Q k represents the total electricity amount of the k-th type of electricity in the net transferred electricity within the accounting period, with the unit of megawatt-hour (MWh); the first carbon emission factor is represented by EF here k represents (to distinguish different formulas), and represents the carbon emission factor of the k-th type of electricity, with the unit of ton of carbon dioxide per megawatt-hour (tCO2 / MWh).

[0085] S4. Calculate according to the traded electricity amount, the local generated electricity amount, the total direct carbon emission, and the total indirect carbon emission to obtain the regional electricity average carbon emission factor of the target area;

[0086] Specifically, calculating according to the traded electricity amount, the local generated electricity amount, the total direct carbon emission, and the total indirect carbon emission to obtain the regional electricity average carbon emission factor of the target area includes:

[0087] S401. Determine the green certificate traded electricity amount and the first carbon emission corresponding to the traded electricity amount according to the traded electricity amount;

[0088] Preferably, the green certificate traded electricity amount Q ctIt represents the electricity generation corresponding to the green certificates for which the transaction settlement within the target area has been completed during the accounting period, with the unit of megawatt-hour (MWh), and the data is sourced from the power trading center; the first carbon emission amount E et It represents the carbon emission amount corresponding to the electricity volume for which the transaction settlement has been completed within the target area during the accounting period, with the unit of ton of carbon dioxide (tCO2).

[0089] S402. Determine the second carbon emission amount corresponding to the green certificate transaction based on the green certificate transaction electricity volume and the local electricity generation volume;

[0090] Preferably, the second carbon emission amount E ct It represents the carbon emission amount corresponding to the green certificates sold from the target area to outside the target area during the accounting period, with the unit of ton of carbon dioxide (tCO2), and the data is sourced from the power trading center.

[0091] S403. Calculate based on the first carbon emission amount, the second carbon emission amount, the total direct carbon emission amount, the first indirect carbon emission amount, and the second indirect carbon emission amount to obtain the regional power average carbon emission factor of the target area.

[0092] Schematically, the regional power average carbon emission factor EF is calculated by the following formula: In the formula, EF represents the regional power average carbon emission factor; Qg is the sum of all local electricity generation volumes in the entire target area, and its power attributes include various types of electricity such as thermal power, hydropower, and wind power, corresponding to Figure 2 , and numerically it is actually equal to the sum of non-green electricity generation volume and green electricity generation volume within the province; Q et It represents the electricity volume for which the transaction settlement has been completed within the target area during the accounting period, with the unit of megawatt-hour (MWh), and the data is sourced from the power trading center; Q imp It represents the total imported electricity volume; Q exp It represents the total exported electricity volume.

[0093] S5. Account for the carbon emission responsibility of the target area based on the regional power average carbon emission factor and the non-green electricity consumption volume.

[0094] Specifically, accounting for the carbon emission responsibility of the target area based on the regional power average carbon emission factor and the non-green electricity consumption volume includes:

[0095] Take the regional power average carbon emission factor as the carbon emission factor for characterizing the non-green electricity part of the electricity consumption enterprises within the target area;

[0096] Perform a multiplication calculation based on the carbon emission factor of the non-green electricity part of the electricity consumption enterprises and the non-green electricity consumption volume to determine the carbon emissions from enterprise electricity consumption within the target area.

[0097] In a preferred embodiment of the present invention, further user electricity carbon accounting is performed according to the regional electricity average carbon emission factor. According to the carbon accounting requirements of different enterprises, this embodiment performs user carbon accounting based on the location. The core of the location-based method is to calculate the regional average carbon emission factor. At this time, the electricity with traceable power source attributes within and between the target regions should be aggregated first, and this part of the electricity should be deducted from the power generation in each target region and the transferred electricity between the target regions. At this time, the carbon emission factor of the remaining electricity is the regional average carbon emission factor of the target region, and the carbon emission factor of the non-green power trading part of the electricity used by the electricity-consuming enterprise is equal to the average carbon emission factor of the target region, that is: EF c = EF, where EF c represents the carbon emission factor of the non-green power part of the electricity used by the electricity-consuming enterprise in the target region; the carbon emission of the enterprise electricity consumption in the target region is: E c = EF c ×Q c , where: E c represents the carbon emission of the enterprise electricity consumption; Q c represents the non-green power electricity consumption, that is, the non-green power part of the electricity used by the enterprise.

[0098] In another preferred embodiment of the present invention, power user carbon accounting can also be carried out based on the market. In June 2020, the National Energy Administration issued the "Rules for Medium- and Long-Term Power Transactions" (hereinafter referred to as the "Basic Rules"), which mentioned that market participants include various power generation enterprises, power grid enterprises, distribution and power supply enterprises, power trading institutions, power dispatching institutions, power users, energy storage enterprises, etc. The market-based method for enterprises to conduct carbon emission accounting requires clarifying the types of enterprise power users and the power purchase methods. Under the current power system in China, power users can be classified into agricultural and residential users who use catalog electricity prices for accounting, market-oriented wholesale users participating in direct power purchase by large users, market-oriented retail users who purchase power from power sales companies, and proxy power purchase users who purchase power through the proxy of power grid companies according to the types of trading objects. The "Basic Rules" clearly states that "all electricity consumed by power users participating in market-based transactions (including wholesale and retail transactions) must be purchased through wholesale or retail transactions, and they are not allowed to participate in both wholesale and retail transactions at the same time. All power users participating in market-based transactions no longer implement catalog electricity prices", which means that the classification of power users based on the types of trading objects conforms to the "mutually exclusive and exhaustive principle". According to the contract form, it can be divided into medium- and long-term contracts and spot transactions. For power users who do not participate in spot transactions, the rules for carbon emission accounting can be clarified through power generation attribute tracing; for users who participate in spot transactions, the medium- and long-term transaction part is accounted for according to the rules, and the spot part is accounted for using the remaining carbon emission factors. The general idea is to divide the user's electricity as much as possible according to its source, and each source uses the corresponding factor for calculation. According to the "pool model", wholesale users are "dedicated pool" users, some of the market-oriented retail users and proxy power purchase users can be classified as "dedicated pool" users, and some are "multi-company combined dedicated pool" users. Users using catalog electricity prices are regarded as "public pool" users, and each type of user needs to calculate the "carbon content" of the pool used, that is, the power carbon emission factor. Table 2 below lists the accounting methods for various types of users:

[0099] Table 2

[0100]

[0101]

[0102] Preferably, in order to fully illustrate the characteristics and applicability of the average emission factor calculation method, two calculation examples are set in this embodiment. The first calculation example considers various scenarios of green power trading and shows the impact of green power trading on the regional average carbon emission factor, as Figure 2 shown; the second calculation example considers various scenarios of green certificate trading and shows the impact of green certificate trading on the regional average emission factor; the third calculation example conducts carbon emission calculations based on location and market for power users.

[0103] In a preferred embodiment of the present invention, green power trading is actually a type of electricity trading, where the trading entities are green power and the associated environmental benefits, while green certificate trading is a type of certificate trading, and the trading entity is the environmental benefit attached to green power. Essentially, green certificates originate from green power, and each certified unit of green power corresponds to one green certificate. Considering the scenarios of green power trading such as Figure 2 as shown, the target area is the whole province, the total electricity consumption of the whole province is 40000 MWh, and the regulating units are thermal power units. Assuming that the power generation emission factor of non-green power units in the province is EF g = 0.8 tCO2 / MWh, E g represents the total direct carbon emissions from power generation in the province, Q gn represents the non-green power generation in the province; Q gg represents the green power generation in the province; Q et represents the green power trading volume in the province; Q imp represents the power imported from outside the province; Q exp represents the power exported from the province. As in the scenario shown in Figure 3 , there is no power exchange with outside the province, Q imp = 0 MWh, Q exp = 0 MWh and there is no green power trading in the province, Q et = 0 MWh. EF s represents EF here, that is, the average carbon emission factor in the current scenario. As in the scenario shown in Figure 4 , there is no power exchange with outside the province, Q imp = 0 MWh, Q exp = 0 MWh, and there is green power trading in the province, Q et = 5000 MWh. As in the scenario shown in Figure 5 , green power is imported from outside the province and there is no power sent out, Q imp = 4000 MWh, Q exp = 0 MWh, Q et = 0 MWh. As in the scenario shown in Figure 6 , green power is sent out to outside the province and there is no power imported, Q imp = 0 MWh, Q exp = 3000 MWh, Q et = 0 MWh. As in the scenario shown in Figure 7 , there is green power trading in the province, green power is imported from outside the province and sent out to outside the province, Q imp = 4000 MWh, Q exp = 3000 MWh, Q et = 5000 MWh. As can be seen from the above embodiments, the average electricity consumption carbon emission factor of the whole province is related to the total electricity consumption of the whole province and the total carbon emissions borne; the green electricity trading within the province and the sending of green electricity to other provinces will cause the increase of the average electricity consumption carbon emission factor of the whole province; the introduction of green electricity from other provinces will contribute to the reduction of the average electricity consumption carbon emission factor of the whole province.

[0104] In another preferred embodiment of the present invention, the average carbon emission factor of the target area can also be determined based on green certificate trading. For example Figure 8 In the scenario shown, the total electricity consumption of the whole province is 40,000 MWh, the in-province renewable power generation is 25,000 MWh, the green electricity generation is 15,000 MWh, and the emission factor of thermal power generation in the province is EF g = 0.8 tCO2 / MWh, without green certificate trading, Q ct,imp represents that the in-province enterprises buy green certificates; Q ct,exp represents selling green certificates to other provinces. As Figure 9 In the scenario shown, without any green certificate trading, Q ct,imp = 0 MWh, Q ct,exp = 0 MWh, Q ct = 0 MWh, As Figure 10 In the scenario shown, the in-province enterprises buy green certificates from other provinces, Q ct,imp = 3,000 MWh, Q ct,exp = 0 MWh, Q ct = 0 MWh, As Figure 11 In the scenario shown, selling green certificates to enterprises in other provinces, Q ct,imp = 0 MWh, Q ct,exp = 4,000 MWh, Q ct = 0 MWh, As Figure 12 In the scenario shown, there is in-province green certificate trading, Q ct,imp = 0 MWh, Q ct,exp = 0 MWh, Q ct = 5,000 MWh, As Figure 13 In the scenario shown, there is in-province green certificate trading, Q ct,imp = 0 MWh, Q ct,exp = 4,000 MWh, Q ct = 5,000 MWh, As can be seen from the above embodiments, the in-province enterprises buying green certificates from other provinces do not affect the average carbon emission factor within the province; selling green certificates to enterprises in other provinces and in-province green certificate trading will cause the increase of the average electricity consumption carbon emission factor of the whole province.

[0105] In yet another preferred embodiment of the present invention, the carbon emission accounting of electricity users is as Figure 14As shown in the figure, the total regional local power generation is 40,000 MWh, including 25,000 MWh of thermal power and 15,000 MWh of green power. The carbon emission factor of the thermal power unit is EFg = 0.8 tCO2 / MWh; the provincial green power trading volume is 12,000 MWh, and there is no inter-provincial green power trading. Wholesale user A uses 5,000 MWh of green power; Retail Company 1 purchases 10,000 MWh of electricity, including 5,000 MWh of thermal power and 5,000 MWh of green power each. The 3,000 MWh of electricity used by Retail User B all comes from the green power part of Retail Company 1. The 7,000 MWh of electricity used by Retail User C is the remaining electricity after Retail Company 1 sells electricity to Retail User B; Agency Company 2 purchases a total of 10,000 MWh of electricity, including 8,000 MWh of thermal power and 2,000 MWh of green power. The electricity used by the agency power purchase user D all comes from Agency Company 2; The electricity used by the catalog electricity price users is the remaining electricity of all those not participating in the power trading. For the carbon emission accounting of power users based on the region, the carbon emission factor of the electricity used by each power user needs to be calculated first,

[0106] , EF A = EF B = EF C = EF D = EF avg = 0.7143, EF avg represents the regional average emission factor calculated in this embodiment. For the carbon emission accounting of power users based on the market:

[0107] EF A = 0

[0108] EF B = 0

[0109]

[0110] EF E = EF res = 0.64

[0111] In the formula, EF res,1 represents the average carbon emission factor of the remaining electricity after Retail Company 1 sells 3,000 MWh of green power to Retail User B; EF res represents the average carbon emission factor of the remaining electricity after deducting all the traded electricity in the target region, that is, the regional remaining carbon emission factor.

[0112] In terms of the spatial scale, the minimum resolution of the average electricity consumption carbon emission factor is at the provincial level, and the differences in electricity consumption carbon emissions among users in different cities, districts and counties within the same province cannot be reflected. With the introduction and application of new energy policies such as "county-wide photovoltaic", there will be significant differences in the carbon content per unit of electricity consumption among users in different cities, districts and counties. The "one-size-fits-all" carbon measurement method based on the average carbon emission factor will bring significant unfairness. In terms of the time scale, the update cycle of the average carbon emission factor is one year. With the continuous progress of the construction of the new power system and the increasing proportion of new energy electricity, there will be significant differences in the carbon content per unit of electricity consumption of users at different times. However, using a fixed annual average carbon emission factor cannot reflect this difference. By implementing this embodiment, the spatial boundary of carbon accounting is set at the urban district level, significantly reducing the spatial boundary of power system carbon emission measurement and achieving optimization of power indirect carbon emission accounting at the spatial scale. Thanks to the optimization of the spatial scale, the complexity of the statistical accounting work of the urban district power system will be significantly lower than that of the large region or provincial power grid. The time scale of power system carbon accounting can also be controlled at the monthly or even weekly level, significantly improving the time resolution of power system indirect carbon emission accounting.

[0113] Purchasing green electricity is a common way for users to reduce their electricity carbon emissions at present. Users achieve the reduction of electricity consumption carbon emissions through green electricity substitution. However, there is a lack of effective discrimination of the components of green electricity in the current carbon measurement system: the average carbon emission factor averages the carbon emissions of the total electricity consumption. Therefore, the zero-carbon emission benefit of green electricity has been considered in the carbon measurement based on the average carbon emission factor, resulting in double counting of the low-carbon benefit of green electricity. Similarly, for electricity users who purchase coal-fired electricity, there is also a problem of double counting of the carbon emission responsibility for the electricity they purchase. By implementing this embodiment, the carbon emission responsibility transfer contained in various types of electricity transactions and green certificate transactions is considered, avoiding the double counting of the environmental benefits of green electricity and the carbon emission responsibility of thermal power, and achieving a clear division and reasonable allocation of carbon emission responsibilities in electricity transactions and green certificate transactions.

[0114] By implementing this embodiment, the power type of the target area, the total incoming power volume, the total outgoing power volume of each power type, the first carbon emission factor corresponding to each power type, the net consumption data of fossil fuels, fuel characteristic parameters, the number of fuel types, the traded electricity volume, and the local power generation volume are obtained; calculations are performed based on the net consumption data, the fuel characteristic parameters, and the number of fuel types to obtain the total direct carbon emissions within the target area; calculations are performed based on the power type, the total incoming power volume, the total outgoing power volume, and the first carbon emission factor to obtain the total indirect carbon emissions of the target area; calculations are performed based on the traded electricity volume, the local power generation volume, the total direct carbon emissions, and the total indirect carbon emissions to obtain the regional power average carbon emission factor of the target area; based on the regional power average carbon emission factor and the non-green electricity consumption volume, the carbon emission responsibility of the target area is accounted for. It covers both the total direct carbon emissions and the total indirect carbon emissions, that is, it considers the combustion of fossil fuels and the electricity trading behavior related to the incoming and outgoing power, quantifies the carbon emission responsibility, and thus considers the transfer of carbon emission responsibility based on each power type, and realizes accurate accounting of power carbon emissions according to the obtained average carbon emission factor of the target area, thereby providing a comprehensive assessment of the carbon emissions of the target area.

[0115] See Figure 15 , which is a schematic structural diagram of a device for determining regional carbon emission responsibility based on carbon emission factors provided by an embodiment of the present invention, includes:

[0116] A regional data acquisition module, configured to acquire the power type of the target area, the total incoming power volume, the total outgoing power volume of each power type, the first carbon emission factor corresponding to each power type, the net consumption data of fossil fuels, fuel characteristic parameters, the number of fuel types, the traded electricity volume, and the local power generation volume;

[0117] A total direct carbon emissions determination module, configured to perform calculations based on the net consumption data, the fuel characteristic parameters, and the number of fuel types to obtain the total direct carbon emissions within the target area;

[0118] A total indirect carbon emissions determination module, configured to perform calculations based on the power type, the total incoming power volume, the total outgoing power volume, and the first carbon emission factor to obtain the total indirect carbon emissions of the target area;

[0119] A carbon emission factor determination module, configured to perform calculations based on the traded electricity volume, the local power generation volume, the total direct carbon emissions, and the total indirect carbon emissions to obtain the regional power average carbon emission factor of the target area;

[0120] A carbon emission responsibility accounting module, configured to account for the carbon emission responsibility of the target area based on the regional power average carbon emission factor.

[0121] Specifically, the fuel characteristic parameters include: average low calorific value, carbon content per unit calorific value, and carbon oxidation rate;

[0122] The direct carbon emission total amount determination module calculates, based on the net consumption data, the fuel characteristic parameters, and the number of fuel types, the total direct carbon emissions in the target area, including:

[0123] Multiply the net consumption data by the average low calorific value to obtain the fossil fuel activity data;

[0124] Multiply the carbon content per unit calorific value, the carbon oxidation rate, and a preset molecular mass ratio to obtain the carbon dioxide emission factor for fossil fuel combustion;

[0125] Multiply the fossil fuel activity data, the carbon dioxide emission factor, and the number of fuel types to obtain the total direct carbon emissions in the target area.

[0126] Preferably, the total indirect carbon emissions include: a first indirect carbon emission amount for characterizing the electricity imported from outside the target area and a second indirect carbon emission amount for characterizing the electricity exported from the target area;

[0127] The total indirect carbon emission determination module calculates, based on the electricity type, the total imported electricity amount, the total exported electricity amount, and the first carbon emission factor, the total indirect carbon emissions in the target area, including:

[0128] Based on the electricity type, determine the number of imported electricity types of the imported electricity type in the target area and the number of exported electricity types of the exported electricity type;

[0129] Based on the total imported electricity amount, determine the imported amount corresponding to the imported electricity type within a preset accounting period;

[0130] Calculate, based on the corresponding imported amount, the number of imported electricity types, and the first carbon emission factor, the first indirect carbon emission amount;

[0131] Based on the total exported electricity amount, determine the exported amount corresponding to the exported electricity type within a preset accounting period;

[0132] Calculate, based on the corresponding exported amount, the number of exported electricity types, and the first carbon emission factor, the second indirect carbon emission amount.

[0133] The present invention provides a device for determining regional carbon emission responsibilities based on carbon emission factors. According to the regional data acquisition module, the power types in the target region, the total imported power volume, the total exported power volume, the first carbon emission factors corresponding to each power type, the net consumption data of fossil fuels, the fuel characteristic parameters, the number of fuel types, the traded electricity volume, and the local power generation volume are obtained; in the direct carbon emission total determination module, calculations are performed based on the net consumption data, the fuel characteristic parameters, and the number of fuel types to obtain the total direct carbon emissions in the target region; in the indirect carbon emission total determination module, calculations are performed based on the power types, the total imported power volume, the total exported power volume, and the first carbon emission factors to obtain the total indirect carbon emissions in the target region; in the carbon emission factor determination module, calculations are performed based on the traded electricity volume, the local power generation volume, the total direct carbon emissions, and the total indirect carbon emissions to obtain the average carbon emission factor of the regional power in the target region; and finally in the carbon emission responsibility accounting module, the carbon emission responsibilities of the target region are accounted for according to the average carbon emission factor of the regional power. It covers both the total direct carbon emissions and the total indirect carbon emissions, that is, it considers the combustion of fossil fuels and the electricity trading behaviors related to the import and export of electricity, quantifies the carbon emission responsibilities, and thus considers the transfer of carbon emission responsibilities based on each power type, and realizes accurate accounting of electricity carbon emissions according to the obtained average carbon emission factor of the target region, thereby providing a comprehensive assessment of the carbon emissions in the target region.

[0134] It should be noted that the device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. In addition, in the attached drawings of the device embodiments provided by the present invention, the connection relationships between the modules indicate that they have communication connections, which can be specifically implemented as one or more communication buses or signal lines. Those of ordinary skill in the art can understand and implement without creative efforts.

[0135] Those skilled in the art can clearly understand that for the sake of convenience and brevity, the specific working processes of the above-described device can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.

[0136] Another embodiment of the present invention further provides a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements a method for determining regional carbon emission responsibility based on carbon emission factors as described in the above embodiments. The terminal device may be a computing device such as a desktop computer, a notebook, a palm computer, or a cloud server. The terminal device may include, but is not limited to, a processor and a memory.

[0137] The processor may be a Central Processing Unit (CPU), or may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. The processor is the control center of the terminal device, connecting various parts of the entire terminal device through various interfaces and lines.

[0138] The memory may be used to store the computer program. The processor realizes various functions of the terminal device by running or executing the computer program stored in the memory and calling the data stored in the memory. The memory may mainly include a program storage area and a data storage area. Among them, the program storage area may store an operating system, application programs required for at least one function, etc.; the data storage area may store data created according to the use of the mobile phone, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, at least one magnetic disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0139] Another embodiment of the present invention provides a computer-readable storage medium, which includes a stored computer program. When the computer program runs, it controls the device where the computer-readable storage medium is located to execute a method for determining regional carbon emission responsibility based on carbon emission factors as described in the above embodiments.

[0140] The storage medium is a computer-readable storage medium, and the computer program is stored in the computer-readable storage medium. When the computer program is executed by a processor, the steps of the above-mentioned various method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disc, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium, etc.

[0141] The above is the preferred embodiment of the present invention. It should be noted that for those of ordinary skill in the art of the present technology, without departing from the principle of the present invention, several improvements and modifications can be made, and these improvements and modifications are also regarded as the protection scope of the present invention.

Claims

1. A method for determining regional carbon emission responsibility based on carbon emission factors, characterized in that: include: Obtain the power type of the target area, the total amount of power transferred in for each power type, the total amount of power transferred out, the first carbon emission factor corresponding to each power type, the net consumption data of fossil fuels, fuel characteristic parameters, the number of fuel types, the amount of traded electricity, the amount of local power generation, and the amount of non-green electricity used; Calculate the total direct carbon emissions in the target area based on the net consumption data, the fuel characteristic parameters and the number of fuel types; Calculate the total indirect carbon emissions of the target area according to the type of electricity, the total amount of power transferred in, the total amount of power transferred out, and the first carbon emission factor; Calculate the average carbon emission factor of regional electricity in the target area based on the traded electricity, the local electricity generation, the total direct carbon emissions and the total indirect carbon emissions; The carbon emission responsibility of the target area is calculated based on the average carbon emission factor of the regional electricity and the non-green electricity consumption.

2. A method for determining regional carbon emission responsibility based on carbon emission factors as claimed in claim 1, characterized in that: The fuel characteristic parameters include: average lower calorific value, carbon content per unit calorific value and carbon oxidation rate; The total amount of direct carbon emissions in the target area is calculated based on the net consumption data, the fuel characteristic parameters and the number of fuel types, including: Obtain fossil fuel activity data by multiplying the net consumption data and the average lower calorific value; Obtaining a carbon dioxide emission factor for fossil fuel combustion by multiplying the carbon content per unit calorific value, the carbon oxidation rate, and a preset molecular weight ratio; The total direct carbon emissions in the target area are obtained by multiplying the fossil fuel activity data, the carbon dioxide emission factor and the number of fuel types.

3. A method for determining regional carbon emission responsibility based on carbon emission factors as claimed in claim 1, characterized in that: The total amount of indirect carbon emissions includes: a first indirect carbon emission amount used to characterize the transfer of electricity from outside the target area and a second indirect carbon emission amount used to characterize the transfer of electricity from outside the target area; The total indirect carbon emissions of the target area are obtained by calculating according to the type of electricity, the total amount of power transferred in, the total amount of power transferred out, and the first carbon emission factor, including: According to the power type, determining the number of incoming power types and the number of outgoing power types of the outgoing power types in the target area; According to the total amount of imported power, determining the imported amount corresponding to the imported power type within a preset accounting period; Calculate according to the corresponding imported amount, the number of imported electricity types and the first carbon emission factor to obtain a first indirect carbon emission amount; According to the total amount of power transferred out, determining the amount of power transferred out corresponding to the type of power transferred out within a preset accounting period; The second indirect carbon emission is obtained by calculating according to the corresponding transferred amount, the number of the transferred power types and the first carbon emission factor.

4. A method for determining regional carbon emission responsibility based on carbon emission factors as claimed in claim 3, characterized in that: The average carbon emission factor of regional electricity in the target area is obtained by calculating according to the traded electricity, the local electricity generation, the total direct carbon emissions and the total indirect carbon emissions, including: According to the traded electricity, determine the green certificate traded electricity and the first carbon emission corresponding to the traded electricity; Determine the second carbon emission amount corresponding to the green certificate transaction according to the green certificate transaction power and the local power generation; The regional average carbon emission factor of electricity in the target area is obtained by calculation based on the first carbon emissions, the second carbon emissions, the total direct carbon emissions, the first indirect carbon emissions and the second indirect carbon emissions.

5. A method for determining regional carbon emission responsibility based on carbon emission factors as claimed in claim 1, characterized in that: The carbon emission responsibility of the target area is calculated based on the average carbon emission factor of the regional electricity and the non-green electricity consumption, including: The average carbon emission factor of regional electricity is used as the carbon emission factor for characterizing the non-green electricity consumption of electricity users in the target area; The carbon emissions of electricity consumption by enterprises in the target area are determined by multiplying the carbon emission factor of the non-green electricity consumption of the electricity consuming enterprise and the non-green electricity consumption.

6. A device for determining regional carbon emission responsibility based on carbon emission factors, characterized in that: include: A regional data acquisition module is used to obtain the power type of the target area, the total amount of power transferred in for each power type, the total amount of power transferred out, the first carbon emission factor corresponding to each power type, the net consumption data of fossil fuels, fuel characteristic parameters, the number of fuel types, the transaction power, and the local power generation; A direct carbon emission total amount determination module, used to calculate the total direct carbon emission in the target area according to the net consumption data, the fuel characteristic parameters and the number of fuel types; an indirect carbon emission total amount determination module, configured to calculate the total indirect carbon emission amount of the target area according to the power type, the total amount of power transferred in, the total amount of power transferred out, and the first carbon emission factor; A carbon emission factor determination module, configured to calculate, based on the traded electricity, the local electricity generation, the total direct carbon emissions, and the total indirect carbon emissions, to obtain an average carbon emission factor for regional electricity in a target area; The carbon emission responsibility accounting module is used to calculate the carbon emission responsibility of the target area based on the average carbon emission factor of the regional electricity.

7. A device for determining regional carbon emission responsibility based on carbon emission factors as claimed in claim 6, characterized in that: The fuel characteristic parameters include: average lower calorific value, carbon content per unit calorific value and carbon oxidation rate; The direct carbon emission total amount determination module calculates the total direct carbon emission amount in the target area according to the net consumption data, the fuel characteristic parameters and the number of fuel types, including: Obtain fossil fuel activity data by multiplying the net consumption data and the average lower calorific value; Obtaining a carbon dioxide emission factor for fossil fuel combustion by multiplying the carbon content per unit calorific value, the carbon oxidation rate, and a preset molecular weight ratio; The total direct carbon emissions in the target area are obtained by multiplying the fossil fuel activity data, the carbon dioxide emission factor and the number of fuel types.

8. A device for determining regional carbon emission responsibility based on carbon emission factors as claimed in claim 6, characterized in that: The total amount of indirect carbon emissions includes: a first indirect carbon emission amount used to characterize the transfer of electricity from outside the target area and a second indirect carbon emission amount used to characterize the transfer of electricity from outside the target area; The indirect carbon emission total amount determination module calculates the total indirect carbon emission amount of the target area according to the power type, the total amount of power transferred in, the total amount of power transferred out, and the first carbon emission factor, including: According to the power type, determining the number of incoming power types and the number of outgoing power types of the outgoing power types in the target area; According to the total amount of imported power, determining the imported amount corresponding to the imported power type within a preset accounting period; Calculate according to the corresponding imported amount, the number of imported electricity types and the first carbon emission factor to obtain a first indirect carbon emission amount; According to the total amount of power transferred out, determining the amount of power transferred out corresponding to the type of power transferred out within a preset accounting period; The second indirect carbon emission is obtained by calculating according to the corresponding transferred amount, the number of the transferred power types and the first carbon emission factor.

9. A terminal device, characterized in that: It includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, it implements a method for determining regional carbon emission responsibility based on carbon emission factors as described in any one of claims 1 to 5.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute a method for determining regional carbon emission responsibilities based on carbon emission factors as described in any one of claims 1 to 5.

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