Industrial park carbon emission metering method and metering system based on carbon emission flow theory and green electricity auxiliary service

Abstract

The invention discloses an industrial park carbon emission metering method based on a carbon emission flow theory and green electricity auxiliary service. The method comprises the following steps: S100, constructing an industrial park carbon emission metering model; s200, confirming and issuing a carbon emission factor; s300, data acquisition is carried out; s400, direct carbon emission metering, indirect carbon emission metering and green electricity auxiliary service carbon emission influence metering are carried out according to the issued carbon emission factors and data obtained through data acquisition; according to the method, the influence of direct carbon emission, indirect carbon emission and green electricity auxiliary service on carbon emission in the industrial park is comprehensively considered, and compared with a traditional metering method, the real carbon emission condition of the industrial park can be reflected more comprehensively and accurately. By accurately metering the carbon emission, the industrial park is helped to formulate a more scientific and reasonable energy conservation and emission reduction strategy, the energy utilization efficiency is improved, and green development is promoted.

Description

Technical Field

[0001] This invention belongs to the field of carbon emission measurement technology, specifically relating to a carbon emission measurement method and system for industrial parks based on carbon emission flow theory and green electricity auxiliary services. Background Technology

[0002] With increasing global attention focused on climate change, reducing carbon emissions has become a crucial task for all countries. Industrial parks, as concentrated areas of economic activity, generate significant and complex carbon emissions. Accurately measuring carbon emissions from industrial parks is essential for developing effective emission reduction strategies.

[0003] Traditional carbon emission measurement methods often focus only on direct emissions, neglecting indirect carbon emissions during energy production and conversion, and failing to fully consider the role of green electricity in the industrial park's energy structure and the impact of green electricity ancillary services on carbon emissions. This results in measurement results that cannot comprehensively and accurately reflect the true carbon emissions of industrial parks, hindering targeted energy conservation and emission reduction efforts and green development planning. Therefore, it is necessary to develop a carbon emission measurement method and system for industrial parks based on carbon emission flow theory and green electricity ancillary services. Summary of the Invention

[0004] The purpose of this invention is to provide a carbon emission measurement method and system for industrial parks based on carbon emission flow theory and green electricity ancillary services, so as to solve the problems of inaccurate and incomplete carbon emission measurement in industrial parks in the existing technology. It can comprehensively consider the impact of direct carbon emissions, indirect carbon emissions and green electricity ancillary services on carbon emissions, and provide a scientific basis for carbon emission measurement and management in industrial parks.

[0005] To achieve the above-mentioned objectives, the technical solution adopted by the present invention is as follows:

[0006] A carbon emission measurement method for industrial parks based on carbon emission flow theory and green electricity ancillary services includes the following steps:

[0007] S100, constructing a carbon emission measurement model for industrial parks;

[0008] S200, confirmation and issuance of carbon emission factors;

[0009] S300, data acquisition;

[0010] S400 measures direct carbon emissions, indirect carbon emissions, and the impact of green electricity ancillary services on carbon emissions, based on the issued carbon emission factors and the data collected.

[0011] S500 measures the total carbon emissions of an industrial park based on the impact of direct carbon emissions, indirect carbon emissions, and carbon emissions from green electricity ancillary services.

[0012] Preferably, the carbon emission measurement model for the industrial park includes the impact of direct carbon emissions, indirect carbon emissions, and carbon emissions from green electricity ancillary services.

[0013] Preferably, the direct carbon emissions include combustion carbon emissions and industrial production process emissions;

[0014] The indirect carbon emissions include indirect carbon emissions from electricity purchased from the grid and indirect carbon emissions from green electricity generation.

[0015] The carbon emission impact of green electricity ancillary services includes the additional carbon emissions generated during green electricity storage and the carbon emissions reduced by green electricity peak shaving.

[0016] Preferably, the total carbon emissions C of the industrial park total The calculation method is as follows:

[0017] C total =C direct +C grid +C green_indirect +C storage -C peak_shaving ;

[0018] Where C total For the total carbon emissions of the industrial park, C direct For total direct carbon emissions, C grid Indirect carbon emissions from purchasing electricity from the grid, C green_indirect For indirect carbon emissions during green electricity generation, C storage For the additional carbon emissions generated during the green energy storage process, C peak_shaving Carbon emissions are reduced by green electricity peak shaving.

[0019] Preferably, in step S200, the carbon emission factor is confirmed and issued.

[0020] By analyzing the electricity consumption patterns of different enterprises, the carbon emission factors of the power grid are calculated in detail over time. After determining the carbon emission factors, they are distributed to each carbon emission metering node. The carbon emission metering node includes edge carbon meters that receive the carbon emission factors issued by the carbon emission metering devices and read data from various metering instruments to calculate carbon emissions.

[0021] Preferably, step S300, data acquisition, includes:

[0022] Acquire energy consumption data of each production enterprise in the industrial park, power generation data of green power generation equipment in the park, electricity purchase data from the external power grid, and electricity carbon emission factor data provided by the power grid.

[0023] Preferably, the energy consumption data of each production enterprise in the industrial park includes the consumption of primary energy and secondary energy, and the data sources include various metering instruments.

[0024] Preferably, the power generation data of the green power generation equipment in the park includes power generation and power generation time. Data sources include various metering instruments.

[0025] A metering system employs the aforementioned industrial park carbon emission metering method based on carbon emission flow theory and green electricity auxiliary services, comprising an industrial park carbon emission device, various metering instruments, and an edge carbon meter that receives carbon emission factors issued by the industrial park carbon emission device and reads data from various metering instruments to calculate carbon emissions.

[0026] The carbon emission devices in the industrial park communicate with the edge carbon meters to issue carbon emission factors and read carbon emission data, and calculate the total carbon emissions of the industrial park.

[0027] Preferably, the various metering instruments include one or more of the following: coal metering instruments, petroleum metering instruments, natural gas metering instruments, other fossil energy metering instruments, biomass energy metering instruments, purchased heat energy metering instruments, purchased electricity energy metering instruments, solar energy metering instruments, wind energy metering instruments, other green energy metering instruments, purchased fuel metering instruments, purchased raw material metering instruments, purchased resource metering instruments, heat energy metering instruments, electricity energy metering instruments, emission gas metering instruments, emission solid and liquid metering instruments, sold heat energy metering instruments, sold electricity metering instruments, emission gas metering instruments, emission solid and liquid metering instruments, sold product metering instruments, and sold resource metering instruments.

[0028] This application has achieved beneficial technical effects:

[0029] This invention comprehensively considers the impact of direct carbon emissions, indirect carbon emissions, and green electricity ancillary services on carbon emissions in industrial parks. Compared with traditional measurement methods, it can more comprehensively and accurately reflect the true carbon emissions of industrial parks.

[0030] Accurate carbon emission measurement helps industrial parks develop more scientific and reasonable energy conservation and emission reduction strategies, improve energy efficiency, and promote green development.

[0031] Considering the impact of green electricity ancillary services on carbon emissions is conducive to encouraging industrial parks to increase the application of green electricity and the development of green electricity ancillary services, promoting the optimization of energy structure and reducing carbon emissions. Attached Figure Description

[0032] Figure 1 The diagram shows the flowchart of the carbon emission measurement method in the industrial park.

[0033] Figure 2 The diagram shown is a model for measuring carbon emissions in an industrial park.

[0034] Figure 3 The diagram shows the structure of a carbon emission metering system in an industrial park. Detailed Implementation

[0035] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the specific implementation methods of the present invention will be described below with reference to the accompanying drawings. Obviously, the drawings described below are merely some embodiments of the present invention. For those skilled in the art, other drawings and other implementation methods can be obtained based on these drawings without any creative effort.

[0036] An embodiment of the present invention provides a carbon emission measurement method for industrial parks based on carbon emission flow theory and green electricity ancillary services, comprising the following steps:

[0037] S100, constructing a carbon emission measurement model for industrial parks;

[0038] S200, confirmation and issuance of carbon emission factors;

[0039] S300, data acquisition;

[0040] S400 measures direct carbon emissions, indirect carbon emissions, and the impact of green electricity ancillary services on carbon emissions, based on the issued carbon emission factors and the data collected.

[0041] S500 measures the total carbon emissions of an industrial park based on the impact of direct carbon emissions, indirect carbon emissions, and carbon emissions from green electricity ancillary services.

[0042] In one embodiment, the industrial park carbon emission measurement model includes the impact of direct carbon emissions, indirect carbon emissions, and carbon emissions from green electricity ancillary services.

[0043] In one embodiment, the direct carbon emissions include combustion carbon emissions and industrial production process emissions;

[0044] The indirect carbon emissions include indirect carbon emissions from electricity purchased from the grid and indirect carbon emissions from green electricity generation.

[0045] The carbon emission impact of green electricity ancillary services includes the additional carbon emissions generated during green electricity storage and the carbon emissions reduced by green electricity peak shaving.

[0046] In one embodiment, the total carbon emissions C of the industrial park total The calculation method is as follows:

[0047] C total =C direct +C grid +C green_indirect+C storage -C peak_shaving ;

[0048] Where C total For the total carbon emissions of the industrial park, C direct For total direct carbon emissions, C grid Indirect carbon emissions from purchasing electricity from the grid, C green_indirect For indirect carbon emissions during green electricity generation, C storage For the additional carbon emissions generated during the green energy storage process, C peak_shaving Carbon emissions are reduced by green electricity peak shaving.

[0049] In one embodiment, step S200 involves confirming and issuing carbon emission factors.

[0050] By analyzing the electricity consumption patterns of different enterprises, the carbon emission factors of the power grid are calculated in detail over time. After determining the carbon emission factors, they are distributed to each carbon emission metering node. These carbon emission nodes include edge carbon meters that receive the carbon emission factors distributed by the carbon emission metering devices and read data from various metering instruments to calculate carbon emissions.

[0051] In one embodiment, step S300, data acquisition, includes,

[0052] Acquire energy consumption data of each production enterprise in the industrial park, power generation data of green power generation equipment in the park, electricity purchase data from the external power grid, and electricity carbon emission factor data provided by the power grid.

[0053] In one embodiment, the energy consumption data of each production enterprise in the industrial park includes the consumption of primary energy and secondary energy, and the data sources include various metering instruments.

[0054] In one embodiment, the power generation data of the green energy generation equipment in the park includes power generation and power generation time. Data sources include various metering instruments.

[0055] A metering system employs the aforementioned industrial park carbon emission metering method based on carbon emission flow theory and green electricity auxiliary services, comprising an industrial park carbon emission device, various metering instruments, and an edge carbon meter that receives carbon emission factors issued by the industrial park carbon emission device and reads data from various metering instruments to calculate carbon emissions.

[0056] The carbon emission devices in the industrial park communicate with the edge carbon meters to issue carbon emission factors and read carbon emission data, and calculate the total carbon emissions of the industrial park.

[0057] In one embodiment, the various metering instruments include one or more of the following: coal metering instruments, oil metering instruments, natural gas metering instruments, other fossil energy metering instruments, biomass energy metering instruments, purchased heat energy metering instruments, purchased electricity energy metering instruments, solar energy metering instruments, wind energy metering instruments, other green energy metering instruments, purchased fuel metering instruments, purchased raw material metering instruments, purchased resource metering instruments, heat energy metering instruments, electricity energy metering instruments, emission gas metering instruments, emission solid and liquid metering instruments, sold heat energy metering instruments, sold electricity metering instruments, emission gas metering instruments, emission solid and liquid metering instruments, sold product metering instruments, and sold resource metering instruments.

[0058] In one embodiment, a carbon emission measurement method for industrial parks based on carbon emission flow theory and green electricity ancillary services comprehensively considers the impact of direct carbon emissions, indirect carbon emissions, and green electricity ancillary services on carbon emissions within the industrial park. Compared with traditional measurement methods, it can more comprehensively and accurately reflect the true carbon emission situation of the industrial park. The carbon emission measurement system based on this method is characterized by comprising an industrial park carbon emission device, an edge carbon meter, and various other measuring instruments. The edge carbon meter receives carbon emission factors and other instructions from the carbon emission measurement device, reads data from various measuring instruments, and calculates the carbon emissions. The industrial park carbon emission device communicates with the edge meter, sends carbon emission factors and other instructions, reads carbon emission data, and calculates the total carbon emissions of the industrial park.

[0059] In one embodiment, the carbon emission factor of the power grid is calculated in a refined manner over time, taking into account the energy consumption patterns of different enterprises. The carbon emission factor of electricity consumption is no longer a relatively fixed value. The dynamic carbon emission factor of electricity over time breaks through the limitations of the traditional "annual average factor". It combines the power supply structure, load demand and the time fluctuation of renewable energy output in the power system to construct a dynamic factor system for different time periods (such as quarterly, monthly, daily and hourly) to achieve accurate carbon emission accounting.

[0060] In one embodiment, a refined enterprise-level electricity-carbon emission factor calculation model was adopted. Based on the electricity consumption characteristics, production processes, and technological features of typical industries, combined with unit power generation data and enterprise electricity consumption data, and based on the concept of power flow tracking, the model considers users' actual electricity consumption information and the energy structure on the power generation side (the proportion of coal-fired power, gas-fired power, hydropower, wind power, and photovoltaic power generation) to establish a refined enterprise-level electricity-carbon emission factor calculation model.

[0061] In one embodiment, the system consists of an industrial park carbon emission device, an edge carbon meter, and various metering instruments. The edge carbon meter receives instructions such as carbon emission factors issued by the carbon emission metering device, reads data from various metering instruments, and calculates carbon emissions. The industrial park carbon emission device communicates with the edge carbon meter, issues instructions such as carbon emission factors, reads carbon emission data, and calculates the total carbon emissions of the industrial park.

[0062] In one embodiment, information such as carbon emission factors can be obtained from authoritative internet communication. The carbon emission factors can be calculated in detail over time for different enterprises’ energy use modes (continuous production, intermittent production, peak-dependent, seasonal fluctuation, new energy self-use, etc. and their combinations) to obtain real-time carbon emission factors, which are then sent to the edge carbon meter and real-time carbon emission data can be read from the edge carbon meter.

[0063] In one embodiment, the device receives instructions such as carbon emission factors from the carbon emission metering device in real time, reads data from various metering instruments, calculates carbon emissions, and transmits the data to the carbon emission metering device in the industrial park.

[0064] The implementation schemes of the present invention will now be described in detail with reference to specific embodiments.

[0065] Step 1: Model Building and Adaptation

[0066] Based on the electricity consumption characteristics, production processes, and technological features of typical industries, and combined with unit power generation data and enterprise electricity consumption data, a refined electricity-carbon emission factor calculation model for enterprises is established, taking into account users' actual electricity consumption information and the energy structure on the power generation side, and based on the concept of power flow tracking.

[0067] Step Two: Confirmation and Issuance of Carbon Emission Factors

[0068] For different enterprises' energy consumption patterns, the carbon emission factor of the power grid is calculated in a refined manner over time, and the carbon emission factor of electricity consumption is no longer a relatively fixed value.

[0069] Once the emission factors are determined, they are distributed to each carbon emission measurement node via a trusted communication network.

[0070] Step 3: Data Collection

[0071] Collect energy consumption data from various production enterprises within the industrial park, including the consumption of primary and secondary energy sources such as electricity, coal, and natural gas. The data sources are enterprise energy management systems, metering devices such as electricity meters and gas meters.

[0072] Collect power generation data from green power generation equipment (such as solar photovoltaic panels, wind turbines, etc.) within the park, including power generation and power generation time. The data can be obtained from the monitoring system of the power generation equipment.

[0073] Data on electricity purchased by the park from the external power grid and data on the carbon emission factors of electricity provided by the power grid are obtained.

[0074] Step 4: Direct Carbon Emission Measurement

[0075] Direct carbon emission measurement includes carbon emissions (C) from the combustion of fossil fuels. comb Carbon emissions from industrial production processes (C) proc .

[0076] C direct =C comb +C proc

[0077] (1) Emissions from fossil fuel combustion

[0078] Based on the type and quantity of fossil fuels (coal, natural gas, etc.) consumed by each enterprise, and using the corresponding carbon emission factors, the direct carbon emissions of each enterprise are calculated according to the following formula:

[0079]

[0080] AD i =NCV i ×FC i

[0081]

[0082] Among them, C comb For carbon emissions from the combustion of fossil fuels, AD i For the activity level of fossil fuel i, EF i The carbon emission factor for fossil fuel i. NCV i For the consumption of various fossil fuels, FC i The average lower heating value of fuel i, CC iwei Let $\frac{i}{i}$ be the carbon content per unit calorific value of fuel $i$, and $OFi$ be the carbon oxidation rate of fuel $i$.

[0083] Conversion rate

[0084] (2) Emissions from industrial production processes

[0085] C proc =C 熔剂 +C 电极 +C 原料 +C 其它

[0086]

[0087] C 电极 =P 电极 ×EF 电极

[0088]

[0089] Among them, C proc C represents carbon emissions from industrial production processes. 溶剂 C 电极 C 原料 C 其它 P represents the carbon emissions generated from solvent consumption, electrode material consumption, carbon-containing raw material consumption, and other substance consumption during industrial production processes. i P 电极 These represent the activity level (consumption) of solvent i / raw material i, respectively, EF i EF 电极 These are the carbon emission factors of solvent i / raw material i and the carbon emission factor of the electrode, respectively.

[0090] Step 5: Indirect Carbon Emission Measurement

[0091] Indirect carbon emission measurement C grid This mainly includes indirect carbon emissions (C) from purchased electricity. grid_e Indirect carbon emissions C from purchased heat grid_WG .

[0092] C grid =C grid_e +C grid_WG

[0093] For electricity purchased by the park from external power grids, indirect carbon emissions are calculated according to the following formula based on the carbon emission factor of the electricity provided by the power grid and the purchased electricity volume:

[0094] C grid_e =E grid_e ×β grid_e

[0095] Among them, C grid_e Indirect carbon emissions from purchasing electricity from the grid, E grid_e β represents the electricity purchased by the park from the external power grid. grid_e Carbon emission factors of power grid electricity.

[0096] For heat purchased from external sources by the industrial park, indirect carbon emissions are calculated based on the carbon emission factor of the heat source and the purchased heat volume, according to the following companies:

[0097] C grid_WG =E grid_WG ×β grid_WG

[0098] Among them, C grid_WG E is the indirect carbon emissions from externally purchased heat. grid_WG For the heat power purchased from external sources for the park, βgrid_WG It is a thermal carbon emission factor.

[0099] Step Six: Indirect Carbon Emissions from Green Power Generation Equipment

[0100] Considering the indirect carbon emissions generated during the power generation process of green electricity equipment in the park, such as carbon emissions generated during equipment manufacturing, installation, and maintenance, the emissions are calculated according to formula (3):

[0101] C green_indirect =E green ×γ

[0102] Among them, C green_indirect For indirect carbon emissions during green electricity generation, E green γ represents the amount of green electricity generated within the park, and γ is the indirect carbon emission coefficient of green electricity generation.

[0103] Step 7: Measuring the carbon emission impact of green electricity ancillary services

[0104] This analysis examines the impact of green energy ancillary services (such as green energy storage and green energy peak shaving) on ​​carbon emissions. For green energy storage, considering the charging and discharging efficiency of the storage equipment and the additional carbon emissions caused by energy losses during the storage process, the following formula is used for calculation:

[0105] C storage =E storage ×(1-η)×β storage

[0106] Among them, C storage E storage η represents the amount of electricity charged into the green energy storage system, η represents the charging and discharging efficiency of the energy storage device, and β represents the energy storage capacity. storage This refers to the carbon emission factor corresponding to the energy loss of energy storage devices.

[0107] For green electricity peak shaving services, the carbon emissions from the reduction in conventional energy generation due to green electricity peak shaving are calculated based on the substitution relationship between green electricity and conventional energy during the peak shaving process, using the following formula:

[0108] C peak_shaving =E peak_shaving ×(β conventional -β green )

[0109] Among them, C peak_shaving E reduces carbon emissions for peak shaving by green electricity peak_shaving β represents the amount of conventional energy generation that is replaced during green electricity peak shaving. conventional β is the carbon emission factor for conventional energy power generation. green The carbon emission factor for green electricity generation (a comprehensive factor considering indirect carbon emissions).

[0110] Step 8: Measurement of total carbon emissions in the industrial park

[0111] The total carbon emissions of the industrial park are calculated by comprehensively considering direct carbon emissions, indirect carbon emissions, and carbon emissions after taking into account the impact of green electricity ancillary services, and are calculated according to formula (6):

[0112] C total =C direct +C grid +C green_indirect +C storage -C peak_shaving

[0113] Among them, C total For the total carbon emissions of the industrial park, C direct For total direct carbon emissions, C grid C represents the indirect carbon emissions generated from purchasing electricity from the grid. green_indirect C represents the indirect carbon emissions during the green electricity generation process. storage For the additional carbon emissions generated during green energy storage processes, C peak_shaving Carbon emissions reduced by green electricity peak shaving.

[0114] A carbon emission metering system for industrial parks based on carbon emission flow theory and green electricity ancillary services consists of carbon emission devices in the industrial park, edge carbon meters, and various metering instruments. The edge carbon meters receive instructions such as carbon emission factors issued by the carbon emission metering devices, read data from various metering instruments, and calculate carbon emissions. The carbon emission devices in the industrial park communicate with the edge carbon meters, issue instructions such as carbon emission factors, read carbon emission data, and calculate the total carbon emissions of the industrial park.

[0115] This invention comprehensively considers the impact of direct carbon emissions, indirect carbon emissions, and green electricity ancillary services on carbon emissions in industrial parks. Compared with traditional measurement methods, it can more comprehensively and accurately reflect the true carbon emissions of industrial parks.

[0116] Accurate carbon emission measurement helps industrial parks develop more scientific and reasonable energy conservation and emission reduction strategies, improve energy efficiency, and promote green development.

[0117] Considering the impact of green electricity ancillary services on carbon emissions is conducive to encouraging industrial parks to increase the application of green electricity and the development of green electricity ancillary services, promoting the optimization of energy structure and reducing carbon emissions.

[0118] Example 1

[0119] Suppose that there are two manufacturing companies, A and B, in an industrial park. There is a solar photovoltaic power station in the park, and some electricity is purchased from the external power grid.

[0120] 1. Data Collection

[0121] Company A consumed 100 tons of coal and 5,000 cubic meters of natural gas during a certain period; Company B consumed 80 tons of coal and 4,000 cubic meters of natural gas. The industrial park purchased 1,000,000 kWh of electricity from the external power grid, and its solar photovoltaic power station generated 200,000 kWh of electricity.

[0122] The carbon emission coefficient of coal is known to be 2.72 t CO2 / t Coal, and the carbon emission coefficient of natural gas is 1.96 t CO2 / m³. 3 LNG has a carbon emission factor of 0.785 kg CO for grid electricity. 2 / kWh, the indirect carbon emission factor of green electricity generation is 0.05kgCO. 2 / kWh, the green energy storage system has a charging capacity of 50,000kWh, a charge / discharge efficiency of 0.9, and a carbon emission factor corresponding to energy loss of the energy storage equipment of 0.8kg CO. 2 / kWh, the amount of conventional energy generation replaced by green electricity during peak shaving is 30,000 kWh, and the carbon emission factor of conventional energy generation is 0.9 kg CO. 2 / kWh, the carbon emission factor (comprehensive factor considering indirect carbon emissions) of green electricity generation is 0.1kg CO. 2 / kWh.

[0123] 2. Direct carbon emission calculation

[0124] Company A's direct carbon emissions:

[0125] C A-direct =100×2.72 + 5000×1.96 ÷ 1000 = 281.8

[0126] Company B's direct carbon emissions:

[0127] C B-direct =80×2.72 + 4000×1.96 ÷ 1000 = 225.44

[0128] Total direct carbon emissions from industrial parks:

[0129] C direct =C A-direct +C B-direct =281.8 + 225.44 = 507.24

[0130] 3. Indirect carbon emission calculation

[0131] Indirect carbon emissions from electricity purchased from the grid:

[0132] C grid =1000000 × 0.785 ÷ 1000 = 785

[0133] Indirect carbon emissions during green electricity generation:

[0134] C green-indirect =200000 × 0.05 ÷ 1000 = 10

[0135] 4. Calculation of the carbon emission impact of green electricity ancillary services

[0136] Additional carbon emissions generated during green energy storage processes:

[0137] C storage =50000×(1-0.9)×0.8÷1000=4

[0138] Carbon emissions reduced by green electricity peak shaving:

[0139] C peak-shaving =30000×(0.9-0.1)÷1000=24

[0140] 5. Calculation of total carbon emissions from the industrial park

[0141] C total =C direct +C grid +C green-indirect +C storage +C peak-shaving

[0142] =2507.24 + 785 + 10 + 4 - 24 = 1282.24

[0143] As can be seen from the above embodiments, the carbon emission measurement method for industrial parks based on carbon emission flow theory and green electricity auxiliary services of the present invention can accurately calculate the total carbon emissions of industrial parks, providing reliable data support for the carbon emission management of parks.

[0144] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0145] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these all fall within the protection scope of the present invention. Therefore, the protection scope of this invention patent should be determined by the appended claims.

[0146] The foregoing has provided a detailed description of an embodiment of the carbon emission metering method and system for industrial parks based on carbon emission flow theory and green electricity ancillary services provided by this invention. Specific examples have been used to illustrate the principles and implementation methods of this invention, and the above description of the embodiments is only for the purpose of helping to understand the core ideas of this invention. It should be noted that those skilled in the art can make several improvements and modifications to this invention without departing from the principles of this invention, and these improvements and modifications also fall within the protection scope of the claims of this invention.

Claims

1. A method for measuring carbon emissions in industrial parks based on carbon emission flow theory and green electricity ancillary services, characterized in that, Includes the following steps: S100, constructing a carbon emission measurement model for industrial parks; S200, confirmation and issuance of carbon emission factors; S300, data acquisition; S400 measures direct carbon emissions, indirect carbon emissions, and the impact of green electricity ancillary services on carbon emissions, based on the issued carbon emission factors and the data collected. S500 measures the total carbon emissions of an industrial park based on the impact of direct carbon emissions, indirect carbon emissions, and carbon emissions from green electricity ancillary services.

2. The carbon emission measurement method for industrial parks based on carbon emission flow theory and green electricity ancillary services as described in claim 1, characterized in that, The industrial park carbon emission measurement model includes the impact of direct carbon emissions, indirect carbon emissions, and carbon emissions from green electricity ancillary services.

3. The carbon emission measurement method for industrial parks based on carbon emission flow theory and green electricity ancillary services according to claim 1 or 2, characterized in that, The direct carbon emissions include carbon emissions from combustion and emissions from industrial production processes. The indirect carbon emissions include indirect carbon emissions from electricity purchased from the grid and indirect carbon emissions from green electricity generation. The carbon emission impact of green electricity ancillary services includes the additional carbon emissions generated during green electricity storage and the carbon emissions reduced by green electricity peak shaving.

4. The carbon emission measurement method for industrial parks based on carbon emission flow theory and green electricity ancillary services as described in claim 1, characterized in that, The total carbon emissions C of the industrial park total are calculated as follows: C total =C direct +C grid +C green_indirect +C storage -C peak_shaving ; Where C total For the total carbon emissions of the industrial park, C direct For total direct carbon emissions, C grid Indirect carbon emissions from purchasing electricity from the grid, C green_indirect For indirect carbon emissions during green electricity generation, C storage For the additional carbon emissions generated during the green energy storage process, C peak_shaving Carbon emissions are reduced by green electricity peak shaving.

5. The carbon emission measurement method for industrial parks based on carbon emission flow theory and green electricity ancillary services according to claim 1, characterized in that, In step S200, the carbon emission factor is confirmed and issued. By taking into account the electricity consumption patterns of different enterprises, the carbon emission factors of the power grid are calculated in detail over time, and the carbon emission factors are then distributed to each carbon emission metering node.

6. The carbon emission measurement method for industrial parks based on carbon emission flow theory and green electricity ancillary services according to claim 1, characterized in that, Step S300: Data acquisition; It includes, Acquire energy consumption data of each production enterprise in the industrial park, power generation data of green power generation equipment in the park, electricity purchase data from the external power grid, and electricity carbon emission factor data provided by the power grid.

7. The carbon emission measurement method for industrial parks based on carbon emission flow theory and green electricity ancillary services according to claim 6, characterized in that, The energy consumption data of each production enterprise in the industrial park includes the consumption of primary and secondary energy, and the data sources include various metering instruments.

8. The carbon emission measurement method for industrial parks based on carbon emission flow theory and green electricity ancillary services according to claim 6, characterized in that, The power generation data of the green power generation equipment in the park includes the amount of power generated and the time of power generation.

9. A metering system, characterized in that, The industrial park carbon emission measurement method based on carbon emission flow theory and green electricity auxiliary services as described in any one of claims 1 to 8 includes an industrial park carbon emission device, various metering instruments, and an edge carbon meter that receives carbon emission factors issued by the industrial park carbon emission device and reads data from various metering instruments to calculate carbon emissions. The carbon emission devices in the industrial park communicate with the edge carbon meters to issue carbon emission factors and read carbon emission data, and calculate the total carbon emissions of the industrial park.

10. The metering system according to claim 9, characterized in that, The various metering instruments include one or more of the following: coal metering instruments, petroleum metering instruments, natural gas metering instruments, other fossil energy metering instruments, biomass energy metering instruments, purchased heat energy metering instruments, purchased electricity energy metering instruments, solar energy metering instruments, wind energy metering instruments, other green energy metering instruments, purchased fuel metering instruments, purchased raw material metering instruments, purchased resource metering instruments, heat energy metering instruments, electricity energy metering instruments, emission gas metering instruments, emission solid and liquid metering instruments, sold heat energy metering instruments, sold electricity energy metering instruments, emission gas metering instruments, emission solid and liquid metering instruments, sold product metering instruments, and sold resource metering instruments.

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