Carbon emission prediction calculation method

Abstract

The invention discloses a carbon emission prediction calculation method, and the method comprises the steps: obtaining direct carbon emission power level data conversion amount, process carbon emission power level data conversion amount, indirect carbon emission power level data conversion amount, renewable resource utilization carbon emission power level data conversion amount and outsourcing power carbon emission factors of an enterprise in the tth year; the carbon emission of the enterprise in the tth year is determined, and the estimated and actuarial capacity for calculating the carbon emission in the production operation stage of the enterprise is provided.

Description

Technical Field

[0001] The present invention relates to the photovoltaic field, and in particular to a carbon emission prediction and calculation method. Background Art

[0002] The realization of the dual carbon goals requires enterprises to take a series of measures, including improving energy efficiency, optimizing energy structure, reducing carbon emission intensity, and promoting low-carbon technologies. Enterprises need to set specific emission reduction targets, take practical measures, strengthen carbon emission monitoring and reporting, actively participate in international climate cooperation, and continuously improve carbon management to contribute to the realization of the dual carbon goals. At present, the accuracy of carbon emission prediction for enterprises is relatively low. Summary of the invention

[0003] The purpose of the present invention is to provide a carbon emission prediction calculation method to solve the current problem of low accuracy in carbon emission prediction for enterprises.

[0004] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0005] A carbon emission prediction calculation method is provided, comprising:

[0006] Obtain the direct carbon emission electricity level data conversion amount AD of the production enterprise in year t zj，t ;

[0007] Obtain the process carbon emission power level data conversion amount AD of the production enterprise in year t gc,t ;

[0008] Obtain the indirect carbon emission electricity level data conversion amount AD of the production enterprise in year t jj，t ;

[0009] Obtain the data conversion amount AD of the carbon emission electricity level of renewable resources used by the production enterprise in year t zs,t ;

[0010] Obtain the carbon emission factor EF of the purchased electricity of the production enterprise in year t t ;

[0011] The carbon emissions of the enterprise in year t are calculated according to the following formula E co2 :

[0012]

[0013] Preferably, the direct carbon emission electricity level data conversion amount AD of the production enterprise in year t is obtained. zj，t include:

[0014] Obtain the data conversion amount AD of the carbon emission electricity level of fossil fuel combustion of the production enterprise in year t hs,t ;

[0015] Obtain the conversion amount AD of the carbon emission electricity level data of other fuel combustion of the production enterprise in year t qt,t ;

[0016] The AD is calculated according to the following formula zj，t :

[0017] AD zj，t =AD hs，t +AD qt，t

[0018] Preferably, the acquisition of the fossil fuel combustion carbon emission power level data conversion amount AD of the production enterprise in year t hs，t include:

[0019] Obtain a first carbon emission amount and a first electricity emission factor generated by fossil fuel combustion; divide the first carbon emission amount by the first electricity emission factor as the AD hs,t .

[0020] Preferably, the first carbon emission amount generated by the combustion of the fossil fuel is the product of the corresponding first activity level data and the first carbon emission factor.

[0021] Preferably, the acquisition of the conversion amount AD of the carbon emission power level data of other fuel combustion of the production enterprise in year t qt,t include:

[0022] Obtain the second carbon emissions and second electricity emission factors from the combustion of other fuels;

[0023] The result of dividing the second carbon emission by the second electricity emission factor is used as the AD qt,t .

[0024] Preferably, the second carbon emission amount generated by the combustion of the other fuel is the product of the corresponding second activity level data and the second carbon emission factor.

[0025] Preferably, the process carbon emission power level data conversion amount AD of the production enterprise in year t is obtained gc,t include:

[0026] Get the process emissions C of the production enterprise in year t gc ;

[0027] Obtain the third electricity emission factor EF of the purchased electricity of the production enterprise in that year i ;

[0028] The AD is calculated according to the following formula gc,t :

[0029]

[0030] Preferably, the process emission C gc It is the product of the third activity level data of the process carbon emission source and the third carbon emission factor.

[0031] Preferably, the first activity level data undergoes the following data processing: data source identification, data filling, data standardization format processing and data quality processing;

[0032] The first carbon emission factor undergoes the following data processing: data source identification, data filling, data standardization format processing, data spatiotemporal resolution analysis and data quality processing.

[0033] Preferably, the acquisition of the indirect carbon emission power level data conversion amount AD of the production enterprise in the tth year jj,t include:

[0034] Get the purchased electricity amount of the production enterprise in year t f(x1,t);

[0035] Obtain the water carbon emission and electricity data conversion volume f(x2,t) of the production enterprise in year t;

[0036] Obtain the thermal carbon emission power data conversion amount f(x3,t) of the production enterprise in year t;

[0037] The AD is calculated according to the following formula jj,t :

[0038] AD jj,t =f(x 1,t )+f(x 2,t )+f(x 3,t )

[0039] Preferably, obtaining the purchased electricity f(x1,t) of the production enterprise in year t includes:

[0040] Obtained by monitoring electricity meter data or electricity bills provided by electricity suppliers.

[0041] Preferably, the step of obtaining the water carbon emission power data conversion amount f(x2,t) of the production enterprise in year t includes:

[0042] It is obtained by dividing the carbon emissions from water consumption by the fourth electricity emission factor, wherein the carbon emissions from water consumption are the sum of the carbon emissions from electricity consumed by water pumps used for water resources and the carbon emissions from chemicals used for water purification, the carbon emissions from electricity consumed by water pumps used for water resources are the product of water consumption and the fourth carbon emission factor, and the carbon emissions from chemicals used for water purification are the product of chemical usage and the chemical carbon emission factor.

[0043] Preferably, the step of obtaining the thermal carbon emission power data conversion amount f((x3, t) of the production enterprise in year t includes:

[0044] It is obtained by dividing the annual thermal carbon emissions by the fifth electricity emission factor, where the annual thermal carbon emissions are the product of the purchased thermal consumption and the thermal fuel carbon emission factor, the purchased thermal consumption is obtained through flow meter monitoring or procurement list, and the thermal fuel carbon emission factor is the product of the unit carbon content of fossil fuels, the carbon oxidation rate of fossil fuels, and the relative molecular mass ratio of carbon dioxide.

[0045] Preferably, the step of obtaining the data conversion amount AD of the carbon emission power level of the renewable resource utilization of the production enterprise in the tth year is: zs，t include:

[0046] Get the annual energy consumption Q of the solar domestic hot water system Ls ;

[0047] Get the annual power generation E of the photovoltaic system pv ;

[0048] Get the annual power generation E of the wind turbine wt ;

[0049] Get the annual energy consumption of the ground source heat pump Q LD ;

[0050] Get the annual energy consumption Q of the air source heat pump LK ;

[0051] The AD is calculated according to the following formula zs，t :

[0052] AD zs，t =Q Ls +E pv +E wt +Q LD +Q LK

[0053] Compared with the prior art, the present invention has the following beneficial effects:

[0054] The present invention provides one-stop carbon emission modeling and simulation analysis through the enterprise carbon emission calculation method. It has the ability to provide estimation and actuarial carbon emission calculation capabilities for the production and operation stages of enterprises. The calculation accuracy is high, and it can meet the optimization calculation of carbon saving, carbon reduction, carbon neutrality and other control measures such as renewable energy and green vegetation (carbon sink), and automatically generate traceable prediction calculations to meet the enterprise's prediction of carbon emissions in the t year under the combination of energy conservation and emission reduction, production process management, equipment electrification and other measures. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0056] Figure 1 It is a schematic diagram of the overall process of the present invention. DETAILED DESCRIPTION

[0057] The following will be combined with the accompanying drawings of the present invention to clearly and completely describe the technical solutions in multiple embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0058] the term

[0059] Activity level data: quantitative data reflecting greenhouse gas emissions caused by human activities. For building carbon emissions, it mainly includes the consumption of materials, energy and resources.

[0060] Carbon emission factor: A coefficient that corresponds activity data to carbon emissions, used to quantify carbon emissions per unit of activity data.

[0061] Electricity emission factor: the amount of carbon dioxide emissions caused by consuming a unit of electricity (1kWh).

[0062] Electricity level data conversion: The level of electricity activity in a sector relative to the amount of CO2 emissions generated by the electricity produced.

[0063] Example

[0064] like Figure 1 As shown, this embodiment provides a carbon emission prediction calculation method, including:

[0065] Obtain the direct carbon emission electricity level data conversion amount AD of the production enterprise in year t zj,t (kwh), obtain the process carbon emission power level data conversion amount AD of the production enterprise in year t gc,t (kwh), obtain the indirect carbon emission electricity level data conversion amount AD of the production enterprise in year t jj,t (kwh), obtain the data conversion amount AD of the carbon emission electricity level of renewable resources utilization of the production enterprise in year t zs,t (kwh), to obtain the carbon emission factor EF of the purchased electricity of the production enterprise in year t t(kgCO2e / kwh), calculate the carbon emissions E of the enterprise in year t according to the following formula co2 :

[0066]

[0067] In one embodiment, the carbon emission factor EF of the purchased electricity of the production enterprise in year t is t Get it from the following link:

[0068] https: / / www.caep.org.cn / sy / tdftzhyjzx / zxdt / 202310 / t20231027_1044179.sh tml

[0069] In one embodiment, the direct carbon emission electricity level data conversion amount AD of the production enterprise in year t is obtained. zj,t include:

[0070] Obtain the data conversion amount AD of the carbon emission electricity level of fossil fuel combustion of the production enterprise in year t hs,t ; Obtain the conversion amount AD of the carbon emission electricity level data of other fuel combustion of the production enterprise in year t qt,t ; Calculate the AD according to the following formula zj,t :

[0071] AD zj，t =AD hs，t +AD qt，t

[0072] The amount of carbon emissions from fossil fuel combustion in electricity level data conversion AD hs,t The method comprises: obtaining a first carbon emission amount and a first electricity emission factor generated by the combustion of fossil fuels; dividing the first carbon emission amount by the first electricity emission factor as the AD hs,t The first carbon emission generated by the combustion of fossil fuels is the product of the corresponding first activity level data and the first carbon emission factor.

[0073] The first carbon emission factor is determined by different methods according to different projects, which can be summarized as: 1. Determined by database data; 2. Determined by the proportion and content of emission sources; 3. Determined according to chemical equations.

[0074] Determined by database data:

[0075] The first carbon emission factor can be determined based on self-built database data or the official carbon emission factor specified in the national standard, such as Table 1 Fossil Fuel Carbon Emission Factor (Source: GB / T51366-2019).

[0076] Table 1 Carbon emission factors of fossil fuels

[0077]

[0078]

[0079] Determined by emission source ratio and content:

[0080] It is determined based on the content ratio of each material used in the emission source. For example, in the process of heating and melting charcoal, there is incomplete combustion of charcoal. By monitoring the proportion of carbon monoxide produced by incomplete combustion in the exhaust gas, the carbon dioxide content produced by charcoal as a fuel is determined, and the oxidation rate of charcoal converted into carbon dioxide is obtained. The calculation formula for the combustion emission factor of charcoal is as follows:

[0081]

[0082] Where:

[0083] HV—lower heating value of carbon fuel, unit is (TJ / t);

[0084] CPH—Carbon content per unit calorific value of carbon fuel, in units of (tC / TJ);

[0085] OF—carbon oxidation rate of carbon fuel (%);

[0086] —Carbon dioxide reduction factor.

[0087] The lower calorific value of carbon is obtained through the carbon block test report. In summary, the carbon emission factor of carbon under the process of this project is 1.64kgCO2e / kg.

[0088] Determined from the chemical equation:

[0089] For example, acetylene is needed in the welding and cutting process of steel components. Acetylene is used together with oxygen to weld metal and cut steel. The chemical equation for acetylene combustion is:

[0090] 2C2H2+5O2→4CO2+2H2O

[0091] According to the molar coefficient of each component, the complete combustion of 52g / mol of acetylene corresponds to the production of 176g / mol of carbon dioxide. Based on the molar ratio, it can be calculated that the complete combustion of 1kg of acetylene produces 3.3846kg of carbon dioxide. Therefore, the carbon emission factor of acetylene calculated according to the chemical equation is 3.3846kgCO2e / kg.

[0092] After obtaining the first carbon emission factor through three methods, the following data processing is required: data source identification, data filling, data standardization format processing, data spatiotemporal resolution analysis, and data quality processing:

[0093] 1. The carbon emission factors at each stage need to be identified through data sources. The data sources of carbon emission factors include government statistical data, industry report data, scientific research institution data, and verification project data. The emission factor data needs to be traced during the data source identification stage.

[0094] 2. The carbon emission factors at each stage need to be processed by data filling. Based on the actual situation of the project, there are missing data on the carbon emission factors of some products or activities. For the missing data, relevant benchmark data can be selected from the dual-carbon database to supplement it.

[0095] 3. The carbon emission factor data of each stage needs to be processed in a standardized format. The units of the currently published carbon emission factors are different for different product units, such as kgCO2e / t, kgCO2e / m3, tCO2e / m2, etc. In actual calculations, they are difficult to use due to differences in the acquisition of activity data units, which can easily cause errors in carbon emission calculations. In the standardized format processing stage, the carbon emission factors involved in the material consumption stage of construction are converted into kgCO2e / t to facilitate calculations in actual projects in combination with activity level data.

[0096] 4. Conduct spatiotemporal resolution analysis on the carbon emission factor data at each stage. The carbon emission factors of the same product will vary at different time and space scales. The data should be analyzed and selected from the national, regional, provincial and municipal perspectives on the spatial scale. On the temporal scale, the carbon emission factors should be analyzed and selected based on whether a certain type of product will subsequently adopt renewable energy, whether it will be electrified, and changes in electricity emission factors.

[0097] 5. Carry out data quality assessment on carbon emission factor data at each stage, conduct data sensitivity analysis and review on the calculated carbon emission factors provided by manufacturers and the data in the dual carbon database. When the sensitivity deviation between the provided data and the benchmark level of similar products in the database is 10%, the data should be re-verified and evaluated to ensure data quality.

[0098] The first activity level data is determined by different methods according to different projects, which can be summarized as 1. Determined by intelligent monitoring equipment, 2. Determined according to the purchase list, 3. Determined according to the annual inventory and year-end inventory.

[0099] Among them, the intelligent monitoring equipment determines:

[0100] The data determined by intelligent monitoring equipment include obtaining data through meters (electricity meters, water meters, gas meters, heat meters, etc.), obtaining data through financial data (electricity bills, water bills, gas bills, heat settlement bills, etc.), and obtaining data through data platforms by monitoring meters.

[0101] Determined from the purchase list or based on the annual inventory and year-end count:

[0102] The first activity level data can be determined based on the company's purchase list or annual inventory and year-end inventory: 1. The company should record the purchase list of all fossil energy in detail, including the purchase date, supplier, energy type (such as coal, oil, natural gas), quantity and price, etc. 2. Regularly conduct inventory counts to record the storage and storage conditions of fossil energy to ensure the accuracy of inventory data; 3. Annual inventory count: Conduct a detailed inventory count at the end of the year and compare it with the inventory at the beginning of the year to measure the fossil energy consumption in a year.

[0103] After determining the first activity level data through the above three methods, the first activity level data also needs to undergo the following data processing: data source identification, data filling, data standardization format processing and data quality processing:

[0104] 1. The first activity level data needs to be identified through the data source. The data sources of the activity level data include fuel usage data, process material usage data, purchased electricity monitoring data, purchased heat monitoring data, water meter monitoring data, etc. During the data source identification stage, the emission factor data needs to be traced back by collecting and monitoring data based on the network layer.

[0105] 2. The first activity level data needs to be filled in. Based on the actual situation of the project, some sub-item activity level data are missing. For the missing data, relevant benchmark data can be selected from the dual-carbon database or supplemented according to relevant national energy consumption or usage standards.

[0106] 3. First, the activity level data needs to be processed in a standardized format. The units of the currently published carbon emission factors are different for different products, such as t, m3, m2, L, etc. It is difficult to coordinate with the carbon emission factors in actual calculations, which can easily cause errors in carbon emission calculations. In the standardized format processing stage, the activity level data in the enterprise carbon emission calculation is converted into t, so that it can be combined with the carbon emission factors for calculation in the enterprise carbon emission calculation.

[0107] 4. First, conduct a data quality assessment on the activity level data, and conduct data sensitivity analysis and review on the activity level data calculated by the enterprise and the horizontal data baseline in the dual carbon database. When the sensitivity deviation between the provided data and the benchmark level data of the same branch of the database is ≥10%, the data should be re-verified and evaluated to ensure data quality.

[0108] The first electricity emission factor is extracted from the power grid carbon emission factor published by the government department in charge or the electricity emission factor in the Jiujun dual carbon database.

[0109] In one embodiment, the acquisition of the conversion amount AD of the carbon emission power level data of other fuel combustion of the production enterprise in year t qt,t include:

[0110] Obtain a second carbon emission amount and a second electricity emission factor generated by the combustion of other fuels; divide the second carbon emission amount by the second electricity emission factor as the AD qt,t .

[0111] The second carbon emission generated by the combustion of other fuels is the product of the corresponding second activity level data and the second carbon emission factor.

[0112] The method for determining the second carbon emission factor is similar to that for the first carbon emission factor and will not be repeated here.

[0113] Among them, the second carbon emission factor can be determined based on the self-built database data or the official carbon emission factor specified in the national standard, such as Table 2 Other Fuel Carbon Emission Factors (Source: GB / T51366-2019).

[0114] Table 2 Carbon emission factors of other fuels

[0115]

[0116]

[0117] The method for determining the second activity level data is similar to that for determining the first activity level data, and will not be described in detail here.

[0118] The second electricity emission factor is extracted from the power grid carbon emission factor published by the government department in charge or the electricity emission factor in the Jiujun dual carbon database.

[0119] In one embodiment, the process carbon emission power level data conversion amount AD of the production enterprise in year t is obtained. gc,t include:

[0120] Get the process emissions C of the production enterprise in year t gc (kgCO2e);

[0121] Obtain the third electricity emission factor EF of the purchased electricity of the production enterprise in that year i (kgCO2e / kwh);

[0122] The AD is calculated according to the following formula gc,t (kwh):

[0123]

[0124] Process emissions refer to carbon dioxide emissions generated during the operation of enterprise equipment, equipment maintenance, etc. For example, in the case calculation, it was found that there were process emission sources in the production process of the enterprise: welding rods, self-shielded flux-cored welding wires, welding slag, 100% CO2 shielded flux-cored welding wire ￠1.6, 100% CO2 shielded solid welding wire ￠1.2, acetylene, oxygen, calcium carbide, etc.

[0125] The process emission C gc It is the product of the third activity level data of the process carbon emission source and the third carbon emission factor.

[0126] The method for determining the third carbon emission factor is similar to that for the first carbon emission factor and will not be repeated here.

[0127] The method for determining the third activity level data is similar to that for determining the first activity level data, and will not be described in detail here.

[0128] Extraction of the third electricity emission factor: The third electricity emission factor is extracted from the power grid carbon emission factor published by the government department or the electricity emission factor in the Jiujun dual carbon database. The power grid carbon emission factor published by the government department can be used to verify the carbon emissions in previous years or the current year; the electricity emission factor in the database can be used to calculate the carbon emission data of enterprises in specific regions and predict the carbon emission data of enterprises in the future. The electricity emission factor is different for the power generation level in different regions. In the actual calculation, the carbon emission factor should be selected according to the actual location of the enterprise.

[0129] The prediction of electricity emission factors is based on the calculation of grid emission factors extended from the grid production simulation optimization model, and the data is screened according to the annual electricity consumption, power generation and dispatching levels. For details, see Table 3: Prediction of greenhouse gas emission factors of purchased electricity in different regions.

[0130] Table 3 Prediction of greenhouse gas emission factors of purchased electricity in different regions

[0131]

[0132]

[0133]

[0134]

[0135]

[0136] In one embodiment, the acquisition of the indirect carbon emission power level data conversion amount AD of the production enterprise in year t jj,t include:

[0137] Obtain the purchased electricity f(x1,t)(kwh) of the production enterprise in the tth year; obtain the water carbon emission power data conversion f(x2,t)(kwh) of the production enterprise in the tth year; obtain the thermal carbon emission power data conversion f(x3,t)(kwh) of the production enterprise in the tth year; calculate the AD according to the following formula jj,t :

[0138] AD jj,t =f(x 1,t )+f(x 2,t )+f(x 3,t )

[0139] In one embodiment, obtaining the purchased electricity amount f(x1,t) of the production enterprise in year t includes:

[0140] Obtained by monitoring electricity meter data or electricity bills provided by electricity suppliers.

[0141] In one embodiment, obtaining the water carbon emission power data conversion amount f(x2,t) of the production enterprise in year t includes:

[0142] It is obtained by dividing the carbon emissions from water consumption by the fourth electricity emission factor. The fourth electricity emission factor can be obtained through government published data or self-built database data.

[0143] The carbon emissions from water consumption are the sum of the carbon emissions from electricity consumed by water pumps used for water resources and the carbon emissions from chemicals used for water purification. The carbon emissions from electricity consumed by water pumps used for water resources are the product of water consumption and the fourth carbon emission factor. The carbon emissions from chemicals used for water purification are the product of chemical usage and the chemical carbon emission factor.

[0144] Among them, water consumption can be obtained based on water meter data monitoring or unit water consumption. The fourth carbon emission factor is determined in a similar way to the first carbon emission factor.

[0145] The amount of reagents used (i.e., reagent activity level data) can be determined based on the annual inventory and year-end inventory count or the annual reagent purchase list. The method for determining the reagent carbon emission factor is similar to the first carbon emission factor.

[0146] In one embodiment, the step of obtaining the thermal carbon emission power data conversion amount f(x3,t) of the production enterprise in year t includes:

[0147] It is obtained by dividing the annual thermal carbon emissions by the fifth electricity emission factor. The fifth electricity emission factor can be obtained through government published data or self-built database data.

[0148] The annual thermal carbon emissions are the product of the purchased heat consumption and the thermal fuel carbon emission factor. The purchased heat consumption is obtained through flow meter monitoring or procurement list, and the thermal fuel carbon emission factor is the product of the unit carbon content of fossil fuels, the carbon oxidation rate of fossil fuels, and the relative molecular mass ratio of carbon dioxide.

[0149] The unit carbon content and carbon oxidation rate of fossil fuels can be obtained according to relevant standards or self-built databases. The relative molecular mass ratio of carbon dioxide is 44 / 12. The carbon emission factor of electricity can be obtained through government published data or self-built database data.

[0150] In one embodiment, the step of obtaining the data conversion amount AD of the carbon emission power level of the renewable resource utilization of the production enterprise in the tth year is: zs,t include:

[0151] Get the annual energy consumption Q of the solar domestic hot water system Ls (kWh); Get the annual power generation E of the photovoltaic system pv (kWh); Get the annual power generation E of the wind turbine wt (kWh); Get the annual energy consumption of the ground source heat pump Q LD (kWh); Get the annual energy consumption of the air source heat pump Q LK (kWh); the AD is calculated according to the following formula zs,t :

[0152] AD zs，t =Q Ls +Ep v +E wt +Q LD +Q LK

[0153] In one embodiment, the annual energy consumption of the solar domestic hot water system Q Ls Calculate as follows:

[0154] Q Ls =B s ×A s

[0155] Where:

[0156] As-solar collector area (m 2 );

[0157] Bs-Calculation coefficient of comprehensive utilization of renewable energy in solar water heating system, value is 192kWh / (m 2 a).

[0158] Annual photovoltaic system power generation E pv Calculate as follows:

[0159] E pv =IK E (1-K s )A P

[0160] Where:

[0161] I-Annual solar radiation on the photovoltaic cell surface (kWh / m 2 );

[0162] K e - Conversion efficiency of photovoltaic cells (%);

[0163] K s - Loss efficiency of photovoltaic system (%);

[0164] A p - Photovoltaic system photovoltaic panel net area (m 2 ).

[0165] Annual wind turbine power generation E wt Calculate as follows:

[0166]

[0167] CR(z)=K R ln(z / z0)

[0168] A w =5D2 / 4

[0169]

[0170] Where:

[0171] ρ- air density, take 1.225kg / m 3 ;

[0172] C R (z) - roughness factor calculated based on height;

[0173] K R - site factors;

[0174] z0-field surface roughness coefficient;

[0175] V0-annual available average wind speed (m / s);

[0176] A w - windward area;

[0177] D-fan blade diameter;

[0178] EPF - factor calculated from hourly wind speeds in typical meteorological data;

[0179] APD-annual average energy density (W / m2);

[0180] V i -Hourly wind speed (m / s);

[0181] K WT -Conversion efficiency of wind turbines.

[0182] Annual energy consumption of ground source heat pump Q LD Calculate as follows:

[0183] Q LD =B d ×W d ×η d

[0184] Where:

[0185] W d - Installed power of ground source heat pump (KW);

[0186] η d - Load rate, such as ground source heat pump according to winter design load, η d =1, if the summer design load is used, η d =winter design load / summer design load (%);

[0187] B d - The calculation coefficient of comprehensive utilization of renewable energy per unit installed power of ground source heat pump is 540kWh / (KW·a).

[0188] Annual energy consumption of air source heat pump Q LK Calculate as follows:

[0189] Q LK =B KS ×W K ×T×D a

[0190] Where:

[0191] W k - Input power of air source heat pump unit (KW);

[0192] T-unit daily operating time (h / d);

[0193] B ks - The calculation coefficient of the input power calculation method for comprehensive utilization of renewable energy in the air source heat pump system is 0.42KW / KW;

[0194] D a - Number of operating days of the air source heat pump unit throughout the year.

[0195] The parameters in the data conversion of renewable resource utilization, carbon emissions, and electricity levels can all be obtained through procurement lists or other monitoring methods.

[0196] The present invention provides one-stop carbon emission modeling and simulation analysis through the enterprise carbon emission calculation method. It has the ability to provide estimation and actuarial carbon emission calculation capabilities for the production and operation stages of enterprises. The calculation accuracy is high, and it can meet the optimization calculation of carbon saving, carbon reduction, carbon neutrality and other control measures such as renewable energy and green vegetation (carbon sink), and automatically generate traceable and predictive calculations to meet the needs of enterprises in terms of energy conservation and emission reduction, process management of production processes, equipment electrification and other measures. The enterprise's carbon emissions in the t year are predicted.

[0197] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0198] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A carbon emission prediction and calculation method, characterized in that: include: Obtain the direct carbon emission electricity level data conversion amount AD of the production enterprise in year t zj,t ; Obtain the process carbon emission power level data conversion amount AD of the production enterprise in year t gc,t ; Obtain the indirect carbon emission electricity level data conversion amount AD of the production enterprise in year t jj,t ; Obtain the data conversion amount AD of the carbon emission electricity level of renewable resources used by the production enterprise in year t zs,t ; Obtain the carbon emission factor EF of the purchased electricity of the production enterprise in year t t ; The carbon emissions of the enterprise in year t are calculated according to the following formula E co2 :

2. The prediction calculation method according to claim 1, characterized in that: The direct carbon emission electricity level data conversion amount AD of the production enterprise in year t is obtained zj,t include: Obtain the data conversion amount AD of the carbon emission electricity level of fossil fuel combustion of the production enterprise in year t hs,t ; Obtain the conversion amount AD of the carbon emission electricity level data of other fuel combustion of the production enterprise in year t qt,t ; The AD is calculated according to the following formula zj,t : AD zj,t =AD hs,t +AD qt，t 3. The prediction calculation method according to claim 2, characterized in that: The conversion amount AD of the carbon emission power level data of fossil fuel combustion of the production enterprise in year t is obtained hs,t include: Obtain a first carbon emission amount and a first electricity emission factor generated by fossil fuel combustion; divide the first carbon emission amount by the first electricity emission factor as the AD hs,t .

4. The prediction calculation method according to claim 3, characterized in that: The first carbon emission amount generated by the combustion of the fossil fuel is the product of the corresponding first activity level data and the first carbon emission factor.

5. The prediction calculation method according to claim 2, characterized in that: The conversion amount AD of the carbon emission power level data of other fuel combustion of the production enterprise in year t is obtained qt,t include: Obtain the second carbon emissions and second electricity emission factors from the combustion of other fuels; The result of dividing the second carbon emission by the second electricity emission factor is used as the AD qt,t .

6. The prediction calculation method according to claim 5, characterized in that: The second carbon emission amount generated by the combustion of other fuels is the product of the corresponding second activity level data and the second carbon emission factor.

7. The prediction calculation method according to claim 1, characterized in that: Obtain the process carbon emission power level data conversion amount AD of the production enterprise in year t gc,t include: Get the process emissions C of the production enterprise in year t gc ; Obtain the third electricity emission factor EF of the purchased electricity of the production enterprise in that year i ; The AD is calculated according to the following formula gc,t :

8. The prediction calculation method according to claim 4, characterized in that: The first activity level data undergoes the following data processing: data source identification, data filling, data standardization format processing and data quality processing; The first carbon emission factor undergoes the following data processing: data source identification, data filling, data standardization format processing, data spatiotemporal resolution analysis and data quality processing.

9. The prediction calculation method according to claim 1, characterized in that: The conversion amount AD of the indirect carbon emission power level data of the production enterprise in the tth year is obtained jj,t include: Get the purchased electricity amount of the production enterprise in year t f(x1,t); Obtain the water carbon emission and electricity data conversion volume f(x2,t) of the production enterprise in year t; Obtain the thermal carbon emission power data conversion amount f(x3,t) of the production enterprise in year t; The AD is calculated according to the following formula jj,t : AD jj,t =f(x 1,t )+f(x 2,t )+f(x 3,t ) 10. The prediction calculation method according to claim 1, characterized in that: The method of obtaining the conversion amount AD of the carbon emission power level data of the renewable resource utilization of the production enterprise in the tth year zs,t include: Get the annual energy consumption of the solar domestic hot water system O Ls ; Get the annual power generation E of the photovoltaic system pv ; Get the annual power generation E of the wind turbine wi ; Get the annual energy consumption of the ground source heat pump O LD ; Get the annual energy consumption Q of the air source heat pump LK ; The AD is calculated according to the following formula zs,t : A.D zs,t =O Ls +E pv +E wt +O LD +O LK .

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