Steel enterprise employee carbon profit behavior quantification method

Abstract

The invention relates to the technical field of carbon popularity behavior quantification methods, and provides an iron and steel enterprise employee carbon popularity behavior quantification method, which comprises the steps of 1, identifying low-carbon behaviors of iron and steel enterprise employees, and classifying the low-carbon behaviors into enterprise employee collective low-carbon behaviors and enterprise employee individual low-carbon behaviors; and 2, performing data acquisition and processing on the water and electricity usage amount, the waste amount, the employee travel mode and the employee travel frequency by adopting an automatic data collection system so as to ensure the accuracy and real-time updating of the data. By clearly distinguishing individual low-carbon behaviors and collective low-carbon behaviors of iron and steel enterprise employees and further refining energy-saving and emission-reducing activities, an automatic data collection system is adopted, the accuracy and real-time updating of data are ensured, and through specific low-carbon behaviors such as paperless office and green travel, the real-time updating of the data is ensured. And meanwhile, large-scale capital investment is not needed, and both economic benefits and environmental benefits are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of carbon benefit behavior quantification methods, and specifically to a carbon benefit behavior quantification method for employees of a steel enterprise. Background Art

[0002] "Carbon inclusiveness" is to quantify the green and low-carbon behaviors of individuals and enterprises in the form of carbon emission reductions, and to assign a certain value to the carbon emission reductions generated by green and low-carbon behaviors through commercial incentives, policy encouragement, or in combination with emission reduction transactions, etc., following the principle of "whoever reduces emissions, benefits", and forming a mechanism for positive guidance of green and low-carbon development. The implementation of the carbon inclusiveness mechanism is inseparable from the quantification and verification of carbon behavior, and it is necessary to set up a scientific data support system and quantitative accounting methods so that low-carbon behaviors can be accurately recorded and evaluated.

[0003] However, there are still challenges in ensuring the accuracy of development data and quantification methods. Specifically, the low-carbon behaviors that need to be quantified are wide-ranging, ranging from energy conservation and emission reduction in daily life to complex behaviors such as transportation. Quantifying the carbon emission reduction effects of these behaviors requires considering multiple factors such as the carbon emission factors, impact scope and duration of different behaviors. Therefore, it is necessary to develop a unified standardized accounting method to ensure the consistency and comparability of data. Summary of the invention

[0004] In view of the shortcomings of the prior art, the present invention provides a method for quantifying carbon inclusive behaviors of steel enterprise employees, which solves the problem that the low-carbon behaviors to be quantified are wide-ranging, ranging from energy conservation and emission reduction in daily life to complex behaviors such as transportation. Quantifying the carbon emission reduction effects of these behaviors requires considering multiple factors such as the carbon emission factor, impact range and duration of different behaviors.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: a method for quantifying carbon benefit behaviors of employees in steel enterprises, including

[0006] Step 1: Identify the low-carbon behaviors of employees in steel enterprises and then classify them into collective low-carbon behaviors of employees and individual low-carbon behaviors of employees;

[0007] Step 2: Use an automated data collection system to collect and process data on water and electricity usage, waste volume, and employee travel patterns and frequencies to ensure data accuracy and real-time updates;

[0008] Step 3: Quantify the collective low-carbon behaviors of corporate employees and individual low-carbon behaviors, as well as the total carbon emission reduction, to systematically calculate and evaluate the actual effects of their low-carbon behaviors, and provide data support and decision-making basis for further carbon emission reduction measures.

[0009] Preferably, the collective low-carbon behaviors of enterprise employees in step one include water and electricity conservation in the steel enterprise plant and living park, the use of high-efficiency equipment and measures to optimize energy use, and the promotion of paperless office.

[0010] Preferably, the individual low-carbon behaviors of the enterprise employees in step one include bedding recycling and green travel, and the green travel includes taking the bus, driving a new energy vehicle, riding a bicycle or walking to and from get off work, taking a shuttle bus, and carpooling to work.

[0011] Preferably, the water and electricity usage in step 2 includes the weight of enterprise water consumption in the base year, the emission factor of water consumption, the weight of enterprise water consumption, and the enterprise electricity consumption in the base year, the emission factor of electricity consumption, and the enterprise electricity consumption.

[0012] Preferably, the amount of waste in step 2 includes the mass of bedding recycled by the enterprise, the greenhouse gas emission factor per unit mass of bedding, the number of electronic files used by the enterprise, the greenhouse gas emission factor per unit mass of office paper, and the mass of each piece of office paper.

[0013] Preferably, the employee travel modes and frequencies in step 2 include shuttle bus travel distance, total shuttle bus passengers, shuttle bus emission factors, etc., carpool travel distance, number of rides, number of carpool passengers, carpool emission factors, bus travel distance, number of rides, bus emission factors, new energy vehicle travel distance, new energy vehicle emission factors, number of rides, etc., as well as walking and cycling emission factors, and employee exercise steps.

[0014] Preferably, the shuttle bus emission factor is based on the vehicle model and fuel type, obtained through experiments or industry databases, the carpooling emission factor is obtained through actual vehicle testing or industry average data, the bus emission factor is obtained from a public transportation operating company, or calculated based on electricity consumption and the carbon intensity of the local power grid, the new energy vehicle emission factor is obtained by querying the average emission intensity of the national or regional power grid, and the walking and cycling emission factor is obtained through relevant national departments.

[0015] Preferably, the quantitative calculation of the collective low-carbon behavior of enterprise employees in step three includes the quantitative calculation of water-saving behavior, the quantitative calculation of electricity-saving behavior and the quantitative calculation of paperless office low-carbon behavior.

[0016] Preferably, the quantitative calculation of individual low-carbon behaviors of employees in step three includes the quantitative calculation of low-carbon behaviors of corporate employees' clothing recycling, the quantitative calculation of low-carbon behaviors of green travel by public transportation, the quantitative calculation of low-carbon behaviors of green travel by driving new energy vehicles and taking shuttle buses, the quantitative calculation of low-carbon behaviors of green travel by walking or cycling, the quantitative calculation of low-carbon behaviors of green travel by taking shuttle buses, and the quantitative calculation of low-carbon behaviors of green travel by carpooling.

[0017] Preferably, the calculation of the total carbon emission reduction in step three includes summarizing the carbon emission reductions calculated from all carbon emission reduction measures to obtain the total carbon dioxide emissions reduced by the enterprise through the implementation of various low-carbon measures during the inspection year.

[0018] The present invention provides a method for quantifying carbon benefit behaviors of employees in steel enterprises. It has the following beneficial effects:

[0019] 1. The present invention provides specific quantitative steps and calculation formulas by clearly distinguishing between individual low-carbon behaviors and collective low-carbon behaviors of steel enterprise employees, as well as further refining energy-saving and emission-reduction activities, such as water conservation, electricity conservation, clothing recycling, and green travel. Refined classification and quantification enable enterprises to accurately assess the carbon emissions of different departments and activities, thereby more effectively formulating emission reduction measures, optimizing resource allocation, and reducing operating costs. By evaluating the performance of various low-carbon behaviors, measures that are not effective in reducing carbon emissions can be discovered and improved, thereby improving overall environmental performance.

[0020] 2. The present invention uses an automated data collection system to ensure data accuracy and real-time updates. The automated system reduces the errors and workload of manual data entry and improves the efficiency and accuracy of data processing. Real-time data updates enable companies to respond quickly to changes and adjust emission reduction strategies in a timely manner to ensure environmental protection and sustainability.

[0021] 3. The present invention implements simple and effective carbon emission reduction measures through specific low-carbon behaviors such as paperless office and green travel. Easy-to-implement measures, such as changing travel modes or using electronic documents, are easy for employees to accept and operate in daily life. These measures usually do not require large-scale capital investment, but can effectively reduce environmental footprint, and have both economic and environmental benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 This is a flow chart of the quantitative calculation method for carbon inclusive and low-carbon behavior of steel enterprises of the present invention;

[0023] Figure 2 It is a flow chart of the quantitative calculation method of the low-carbon behavior of steel enterprises according to the present invention;

[0024] Figure 3 It is a flow chart of the quantitative calculation method for the recycling of clothing and paperless office low-carbon behavior of steel enterprise employees of the present invention;

[0025] Figure 4 This is a flow chart of the quantitative calculation method for green travel and low-carbon behavior of steel enterprise employees of the present invention. DETAILED DESCRIPTION

[0026] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are 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.

[0027] Example:

[0028] Please see attached Figure 1 -Attached Figure 4 The embodiment of the present invention provides a method for quantifying carbon benefit behavior of employees in a steel enterprise, comprising:

[0029] Step 1: Identify the low-carbon behaviors of employees in steel enterprises and classify them into collective low-carbon behaviors and individual low-carbon behaviors. Collective low-carbon behaviors include water and electricity conservation in steel enterprise plants and living areas, adoption of high-efficiency equipment and measures to optimize energy use, and promotion of paperless office. Individual low-carbon behaviors include clothing recycling and green travel. Green travel includes taking the bus, driving a new energy vehicle, riding a bicycle or walking to and from get off work, taking a shuttle bus, and carpooling to work.

[0030] Step 2: Use an automated data collection system to collect and process data on water and electricity usage, waste volume, and employee travel modes and frequencies to ensure data accuracy and real-time updates. Water and electricity usage includes the weight of water used by the enterprise in the base year, the emission factor of water use, the weight of water used by the enterprise, and the electricity consumption, emission factor of electricity use, and electricity consumption of the enterprise in the base year. Waste volume includes the weight of recycled bedding, the greenhouse gas emission factor per unit mass of bedding, the number of electronic files used by the enterprise, the greenhouse gas emission factor per unit mass of office paper, and the mass of each piece of office paper. Employee travel modes and frequencies include the distance traveled by shuttle buses, the total number of shuttle bus passengers, the shuttle bus emission factor, and carpooling trips. Driving distance, number of rides, number of carpoolers, carpooling emission factors, bus driving distance, number of rides, bus emission factors, new energy vehicle driving distance, new energy vehicle emission factors, number of rides, etc., as well as walking and cycling emission factors, employee exercise steps, shuttle bus emission factors are based on vehicle type and fuel type, obtained through experiments or industry databases, carpooling emission factors are obtained through actual vehicle testing or industry average data, bus emission factors are obtained from public transportation operating companies, or calculated based on electricity consumption and the carbon intensity of the local power grid, new energy vehicle emission factors are obtained by querying the average emission intensity of the national or regional power grid, and walking and cycling emission factors are obtained from relevant national departments;

[0031] Step 3: Quantify the collective low-carbon behavior and individual low-carbon behavior of enterprise employees and calculate the total carbon emission reduction, so as to systematically calculate and evaluate the actual effect of their low-carbon behavior, and provide data support and decision-making basis for further carbon emission reduction measures. The quantitative calculation of the collective low-carbon behavior of enterprise employees includes the quantitative calculation of water-saving behavior, the quantitative calculation of electricity-saving behavior and the quantitative calculation of paperless office low-carbon behavior. The quantitative calculation of individual low-carbon behavior of employees includes the quantitative calculation of low-carbon behavior of enterprise employees' bedding recycling, the quantitative calculation of low-carbon behavior of green travel by public transportation, the quantitative calculation of low-carbon behavior of green travel by driving new energy vehicles and taking shuttle buses, the quantitative calculation of low-carbon behavior of green travel by walking or cycling, the quantitative calculation of low-carbon behavior of green travel by taking shuttle buses and the quantitative calculation of low-carbon behavior of green travel by carpooling. The calculation of total carbon emission reduction includes summarizing the carbon emission reduction calculated by all carbon emission reduction measures, and obtaining the total carbon dioxide emissions reduced by the enterprise through the implementation of various low-carbon measures in the survey year. By comparing the baseline emissions corresponding to the enterprise's water conservation, the emissions reduced by the enterprise's water conservation are calculated.

[0032] (1) Baseline water discharge of enterprises

[0033] Baseline water discharge of enterprises (ER1 b1,t ) is the carbon dioxide emissions from water use under the baseline scenario, ER1 b1,t The calculation formula is as follows:

[0034] ER1 b11,t =∑ECM j ×EF j

[0035] ER1 b11,t — Carbon dioxide emissions from water use under the baseline scenario, in tons of CO2 equivalent / ton, t CO2e / t;

[0036] ∑ i ECM j —The weight of water used by the enterprise in the base year, in tons, t;

[0037] EF j —Emission factor for water use, in tons of CO2 equivalent / ton, t CO2e / t;

[0038] (2) Emissions after water-saving measures are taken

[0039] In year t, the carbon dioxide emissions generated by the enterprise's water conservation during the period are included, (ER2 b1,t ) is calculated as follows:

[0040] ER1 b1,t =∑CM j ×EF j

[0041] ER1 b1,t — Carbon dioxide emissions from water use by the enterprise in year t, in tons of CO2 equivalent / ton, tCO2e / t;

[0042] ∑CM j —The weight of water used by the enterprise in year t, in tons, t;

[0043] EF j - Emission factor for water use, expressed in tons of CO2 equivalent per ton, t CO2e / t;

[0044] (3) Emission reduction of the enterprise in year t

[0045] ER b1,t =(ER1 b11,t -ER1 b12,t )

[0046] ER b1,t -Total amount of carbon emissions reduction resulting from water conservation, measured in tons of CO2 equivalent, t CO2e;

[0047] ER1 b11,t - Carbon dioxide emissions from water use under the baseline scenario, in tons of CO2 equivalent / ton, t CO2e / t;

[0048] ER1 b12,t - Carbon dioxide emissions from water use by the enterprise in year t, in tons of CO2 equivalent / ton, t CO2e / t;

[0049] By comparing the baseline emissions corresponding to the company's electricity savings, the amount of emissions reduced by the company's electricity savings is calculated.

[0050] (1) Baseline emissions from corporate electricity use

[0051] Baseline emissions from electricity use by enterprises (ER1 b2,t ) is the carbon dioxide emissions from water use under the baseline scenario, ER1 b21,t The calculation formula is as follows:

[0052] ER2 b21,t =∑ECM i ×EF i

[0053] ER2 b21,t - Carbon dioxide emissions from electricity consumption under the baseline scenario, in tons of CO2 equivalent / ton, t CO2e / t;

[0054] ∑ECM i - The amount of electricity used by the enterprise in the base year, in megawatt hours (MWh);

[0055] EF i -Emission factor for electricity consumption, expressed in tons of CO2 equivalent / MWh, t CO2e / MWh;

[0056] (2) Emissions after taking electricity-saving measures

[0057] In the tth year, the carbon dioxide emissions generated by the company's electricity savings during the period are included, (ER2 b22,t ) is calculated as follows:

[0058] ER2 b22,t =∑CM i ×EF i

[0059] ER2 b22,t - Carbon dioxide emissions from the company's electricity consumption in year t, in tons of CO2 equivalent / ton, tCO2e / t;

[0060] ∑ i CMi-the electricity consumption of the enterprise in the tth year, in megawatt-hours, MWh;

[0061] EF i -Emission factor for electricity consumption, expressed in tons of CO2 equivalent / MWh, t CO2e / MWh;

[0062] (3) Emission reduction of the enterprise in year t

[0063] ER b2,t =(ER2 b21,t -ER2 b22，t )

[0064] ER b2,t -Total amount of carbon reduction from electricity saving, measured in tons of CO2 equivalent, t CO2e;

[0065] ER2 b21,t - Carbon dioxide emissions from electricity consumption under the baseline scenario, in tons of CO2 equivalent / ton, t CO2e / t;

[0066] ER2 b22，t - Carbon dioxide emissions from the electricity consumption of the enterprise in year t, in tons of CO2 equivalent / ton, t CO2e / t;

[0067] To calculate the carbon emissions of paperless office, the baseline scenario is paperless office for employees. Employees use electronic documents instead of paper documents, which reduces carbon dioxide emissions.

[0068] Project Emissions (PE tr,e,t ) is to reduce the carbon dioxide emissions generated by the use of corporate paper documents by corporate employees using electronic documents in the carbon inclusive scenario, PEtr，e，t The calculation is as follows:

[0069] PE tr,e,t =N tr,p,t ×EF tr,p,t ×M×10 -6

[0070] PE tr,e,t : Total emissions of the project under the carbon credit scenario in year t, t CO2e;

[0071] N tr,p,t : The number of electronic files used by the enterprise in year t, pieces;

[0072] EF tr,p,t : Greenhouse gas emission factor per unit mass of office paper, g CO2e / g;

[0073] M: The mass of each piece of office paper, g / sheet.

[0074] The baseline scenario is a realistic scenario before the implementation of the project activities, that is, the number of employee bedding. The low-carbon behavior of recycling employee bedding reduces carbon dioxide emissions.

[0075] (1) Emission reduction from low-carbon behaviors

[0076] The corresponding reduction in carbon dioxide emissions (ER e,t ) is calculated as follows:

[0077] EF e,t =M e,t ×EF p,t ×10 -3

[0078] In the formula,

[0079] ER e,t : The amount of carbon dioxide emissions reduction corresponding to the recycling of employee clothing in the enterprise in year t, t CO2e;

[0080] M e,t : The mass of bedding and clothing recycled by the enterprise in year t, kg;

[0081] EF p,t : Greenhouse gas emission factor per unit mass of clothing, kg CO2e / kg;

[0082] The baseline scenario is a realistic scenario before the implementation of the project activities, that is, employees drive traditional fuel vehicles to work. Employees take public transportation to work instead of driving traditional fuel vehicles, reducing carbon dioxide emissions. Public transportation is assumed to consume electricity.

[0083] (1) Baseline emissions

[0084] Baseline emissions (BE c,t ) is the carbon dioxide emissions generated under the baseline scenario, BE c,t The calculation formula is as follows:

[0085] BE c,t =∑EF km,i,m ×DD g，t ×10 -6

[0086] In the formula,

[0087] BE c,t : Total emissions of the baseline scenario in year t, t CO2;

[0088] EF km,i,m : Emission factor for baseline vehicle type m and fuel type i, g CO2 / km;

[0089] DD g，t : The distance travelled by an employee by public transport in year t, km;

[0090] DD g，t =D g,t ×N g,t

[0091] D g，t : The distance travelled by an employee on a single public transport trip, km;

[0092] N g，t : The number of times an employee takes public transportation in year t;

[0093] EF km,i,m =BSFC km,i,m ×NCV i ×EF i

[0094]

[0095] In the formula,

[0096] EF km,i,m : Emission factor for baseline vehicle type m and fuel type i, g CO2 / km;

[0097] BSFC km,i,m : Baseline vehicle type m fuel type i consumption rate, g / km;

[0098] NCV i : The lower calorific value of fuel type i consumed by the baseline vehicle, GJ / t;

[0099] EF i: Emission factor of fuel type i consumed by the baseline vehicle, t CO2 / GJ;

[0100] CC i : Carbon content per unit calorific value of fuel type i of the baseline vehicle, t C / GJ;

[0101] OF i : Carbon oxidation rate of fuel type i of the baseline vehicle, %;

[0102] The ratio of the molecular weight of carbon dioxide to carbon;

[0103] Emissions of an employee taking public transportation (PE g,t ) carbon dioxide emissions, PE c,t The calculation is as follows:

[0104] PE g,t =DD g,t ×EF g,t

[0105] In the formula,

[0106] PE g,t : Total emissions of an employee taking public transportation in year t, t CO2;

[0107] DD g,t : The distance travelled by an employee by public transport in year t, km;

[0108] EF g,t EF g,t : CO2 emission factor of energy consumed by public transport in year t, t CO2 / km;

[0109] Emission reduction from taking public transportation instead of driving a traditional fuel vehicle (ER g，t ) is calculated as follows:

[0110] ER g,t =BE c,t -PE g,t

[0111] in:

[0112] ER g,t : Emission reduction caused by an employee taking public transportation in year t, t CO2;

[0113] BE c,t : baseline emissions in year t, t CO2;

[0114] PE g,t : Emissions of a certain employee's transportation in year t, t CO2;

[0115] Employees drive new energy vehicles to work instead of traditional fuel vehicles, reducing carbon dioxide emissions. New energy vehicles are assumed to consume electricity.

[0116] (1) Baseline emissions

[0117] Baseline emissions (BE c,t ) is the carbon dioxide emissions generated under the baseline scenario, BE c,t The calculation formula is as follows:

[0118] BE c,t =∑EF km,i,m ×DD x,t ×10 -6

[0119] In the formula,

[0120] BE c,t : Total emissions of the baseline scenario in year t, t CO2;

[0121] EF km,i,m : Emission factor for baseline vehicle type m and fuel type i, g CO2 / km;

[0122] DD x,t : The driving distance of an employee’s self-driving new energy vehicle in year t, km;

[0123] DD x,t =D x,i ×N x,i

[0124] D x,i : The distance traveled by an employee in a single self-driving new energy vehicle, km;

[0125] N x,i : The number of times an employee drives a new energy vehicle in year t;

[0126] EF km,i,m =BSFC km,i,m ×NCV i ×EF i

[0127]

[0128] In the formula,

[0129] EF km,i,m : Emission factor for baseline vehicle type m and fuel type i, g CO2 / km;

[0130] BSFC km,i,m : Baseline vehicle type m fuel type i consumption rate, g / km;

[0131] NCV i : The lower calorific value of fuel type i consumed by the baseline vehicle, GJ / t;

[0132] EF i : Emission factor of fuel type i consumed by the baseline vehicle, t CO2 / GJ;

[0133] CC i : Carbon content per unit calorific value of fuel type i of the baseline vehicle, t C / GJ;

[0134] OF i : Carbon oxidation rate of fuel type i of the baseline vehicle, %;

[0135] The ratio of the molecular weight of carbon dioxide to carbon;

[0136] (2) Emissions from an employee's self-driving new energy vehicle

[0137] Emissions of a certain employee's self-driving new energy vehicle (PE x,t ) is the carbon dioxide emissions generated by the electricity consumption of vehicle operation, PE x,t The calculation is as follows:

[0138] PE x,t =DD x,t ×EF x,t

[0139] In the formula,

[0140] PE x,t : The total emissions of a certain employee's self-driving new energy vehicle in year t, t CO2;

[0141] DD x,t : The distance traveled by an employee in the tth year by using a new energy vehicle, km;

[0142] EF x,t : CO2 emission factor of energy consumed by self-driving new energy vehicles in year t, t CO2 / km.

[0143] (3) Emission reduction

[0144] Emission reduction brought about by self-driving new energy vehicles instead of self-driving traditional fuel vehicles (ER x,t ) is calculated as follows:

[0145] ER x,t =BE c,t -PE x,t

[0146] in:

[0147] ER x,t : Emission reduction brought about by an employee driving a new energy vehicle in year t, t CO2;

[0148] BE c,t : baseline emissions in year t, t CO2;

[0149] PE x,t : The total emissions of a certain employee’s self-driving new energy vehicle in year t, t CO2.

[0150] The baseline scenario is a realistic scenario before the implementation of the project activities, that is, employees drive traditional fuel vehicles to work. Employees travel green (walking, cycling), reducing carbon dioxide emissions.

[0151] (1) Baseline emissions

[0152] Baseline emissions (BE c,t ) is the carbon dioxide emissions generated under the baseline scenario, BE c,t The calculation formula is as follows:

[0153] BE c,t =∑EF km,i,m ×DD L,t ×10 -6

[0154] In the formula,

[0155] BE c,t : Total emissions of the baseline scenario in year t, t CO2;

[0156] EF km,i,m : Emission factor for baseline vehicle type m and fuel type i, g CO2 / km;

[0157] DD L,t : The green travel distance of an employee in year t, km;

[0158] DD L,t =0.5×10 -3 ×N L,i

[0159] N L,i : The number of steps taken by an employee in the tth year, steps, 0.5m / step;

[0160] EF kmim =BSFC kmim ×NCV i ×EF i

[0161]

[0162] In the formula,

[0163] EF km,i,m : Emission factor for baseline vehicle type m and fuel type i, g CO2 / km;

[0164] BSFC km,i,m : Baseline vehicle type m fuel type i consumption rate, g / km;

[0165] NCV i : The lower calorific value of fuel type i consumed by the baseline vehicle, GJ / t;

[0166] EF i : Emission factor of fuel type i consumed by the baseline vehicle, t CO2 / GJ;

[0167] CC i : Carbon content per unit calorific value of fuel type i of the baseline vehicle, t C / GJ;

[0168] OF i : Carbon oxidation rate of fuel type i of the baseline vehicle, %;

[0169] The ratio of the molecular weight of carbon dioxide to carbon.

[0170] (2) Emissions from an employee’s green travel

[0171] Project Emissions (PE z,t ) is the carbon dioxide emissions generated by employees walking in a certain enterprise under the carbon inclusive scenario, PE z,t The calculation formula is as follows:

[0172] PE z,t =0

[0173] PE z,t : Total green travel emissions of an employee in year t, t CO2.

[0174] (3) Emission reduction

[0175] The corresponding reduction in carbon dioxide emissions (ER z,t ) is calculated as follows:

[0176] ER z,t =BE c,t -PE z,t

[0177] In the formula,

[0178] ER z,t : The carbon dioxide emission reduction corresponding to the green travel of an employee in the tth year, t CO2;

[0179] BEc,t : Total emissions of the baseline scenario in year t, t CO2;

[0180] PE z,t : Total green travel emissions of an employee in year t, t CO2.

[0181] The baseline scenario is a realistic scenario before the implementation of the project activities, that is, employees drive traditional fuel vehicles to work. Employees take the company shuttle bus to work instead of driving traditional fuel vehicles, reducing carbon dioxide emissions.

[0182] (1) Baseline emissions

[0183] Baseline emissions (BE c,t ) is the carbon dioxide emissions generated under the baseline scenario, BE c,t The calculation formula is as follows:

[0184] BE c,t =∑EF km,i,m ×DD b,t ×10 -6

[0185] In the formula,

[0186] BE c,t : Total emissions of the baseline scenario in year t, t CO2;

[0187] EF km,i,m : Emission factor for baseline vehicle type m and fuel type i, g CO2 / km;

[0188] DD b,t : driving distance of project vehicle type m in year t, km;

[0189] DD b,t =D b,i ×N b,i

[0190] D b,i : The distance traveled by an employee on a single bus trip, km / trip;

[0191] N b,i : The number of times an employee takes the shuttle bus in year t;

[0192] EF kmK,i,m =BSFC km,i,m ×NCV i ×EF i

[0193]

[0194] In the formula,

[0195] EFkmK,i,m : Emission factor for baseline vehicle type m and fuel type i, g CO2 / km;

[0196] BSFC km,i,m : Baseline vehicle type m fuel type i consumption rate, g / km;

[0197] NCV i : The lower calorific value of fuel type i consumed by the baseline vehicle, GJ / t;

[0198] EF i : Emission factor of fuel type i consumed by the baseline vehicle, t CO2 / GJ;

[0199] CC i : Carbon content per unit calorific value of fuel type i of the baseline vehicle, t C / GJ;

[0200] OF i : Carbon oxidation rate of fuel type i of the baseline vehicle, %;

[0201] The ratio of the molecular weight of carbon dioxide to carbon.

[0202] (2) Emissions from taking shuttle buses

[0203] Emissions from shuttle bus rides (PE b,t ) is the carbon dioxide emissions generated by fuel consumption in vehicle operation, PE b,t The calculation is as follows:

[0204] PE b,t =DD b,t ×EF e,t

[0205] In the formula,

[0206] PE b,t : total emissions in year t, t CO2;

[0207] DD b,t : The distance traveled by an employee by bus in year t, km;

[0208] EF e,t : CO2 emission factor of the energy consumed by the shuttle bus in year t, t CO2 / km.

[0209] EF e,t =E m,t / L t / N

[0210] E m,t : The total emissions generated by a bus in year t, t CO2

[0211] Lt : The total mileage of a bus in year t, km

[0212] N: total number of passengers taking the bus in year t

[0213] (3) Emission reduction

[0214] Emission reduction from taking a shuttle bus instead of driving a traditional fuel vehicle (ER b,t ) is calculated as follows:

[0215] ER b,t =BE c,t -PE b,,t

[0216] in:

[0217] ER b,t : Emission reduction caused by an employee taking the shuttle bus in year t, t CO2;

[0218] BE c,t : baseline emissions in year t, t CO2;

[0219] PE b,,t : Emissions of an employee taking the shuttle bus in year t, t CO2.

[0220] The baseline scenario is a realistic scenario before the implementation of the project activities, that is, employees drive traditional fuel vehicles to work. Employees carpool to work instead of driving traditional fuel vehicles, reducing carbon dioxide emissions.

[0221] (1) Baseline emissions

[0222] Baseline emissions (BE c,t ) is the carbon dioxide emissions generated under the baseline scenario, BE c,t The calculation formula is as follows:

[0223] BE c,t =∑EF km,i,m ×DD p,t ×10 -6

[0224] In the formula,

[0225] BE c,t : Total emissions of the baseline scenario in year t, t CO2;

[0226] EF km,i,m : Emission factor for baseline vehicle type m and fuel type i, g CO2 / km;

[0227] DD p,t : The driving distance of an employee’s carpooling trip in year t, km;

[0228] DD p,t =D p,i ×N p,i

[0229] D p,i : The distance traveled by an employee in a single carpooling trip, km;

[0230] N p,i : The number of times a certain employee spells in the tth year;

[0231] EF km,i,m =BSFC km,i,m ×NCV i ×EF i

[0232]

[0233] In the formula,

[0234] EF km,i,m : Emission factor for baseline vehicle type m and fuel type i, g CO2 / km;

[0235] BSFC km,i,m : Baseline vehicle type m fuel type i consumption rate, g / km;

[0236] NCV i : The lower calorific value of fuel type i consumed by the baseline vehicle, GJ / t;

[0237] EF i : Emission factor of fuel type i consumed by the baseline vehicle, t CO2 / GJ;

[0238] CC i : Carbon content per unit calorific value of fuel type i of the baseline vehicle, t C / GJ;

[0239] OF i : Carbon oxidation rate of fuel type i of the baseline vehicle, %;

[0240] The ratio of the molecular weight of carbon dioxide to carbon.

[0241] (2) Emissions from a particular employee's trip

[0242] The travel emissions of an employee (∑PE p,t,i ), ∑PE p,t,i The calculation is as follows:

[0243] ∑PE p,t,i =∑(DD p,t,i ×EF p,t,i / n )

[0244] In the formula,

[0245] PE p,t,i : The total emissions of an employee's i-th carpooling trip in year t, t CO2;

[0246] DD p,t,i : The distance traveled by an employee in the i-th carpooling trip in the t-th year, km;

[0247] EF p,t,i : CO2 emission factor of energy consumed by an employee’s carpooling trip for the i-th time in the t-th year, tCO2 / km.

[0248] n: the number of people in each carpool trip

[0249] (3) Emission reduction

[0250] Emission reduction caused by employees carpooling instead of driving traditional fuel vehicles (ER p,t ) is calculated as follows:

[0251] ER p,t =BE c,t -∑PE p,t,i

[0252] in:

[0253] ER p,t : Emission reduction caused by a certain employee's carpooling in year t, t CO2;

[0254] BE c,t : baseline emissions in year t, t CO2;

[0255] ∑PE p,t,i : Total emissions from carpooling by an employee in year t, t CO2;

[0256] Total carbon reduction calculation:

[0257] ER=ER e,t +ER b1,t +ER b2,t +ER tr,e,t +ER b,t +ER g,t +ER x,t +ER p,t +ER z,t

[0258] ER s,t : Carbon dioxide emissions corresponding to the low-carbon behavior of the enterprise in year t, t CO2e;

[0259] ER e,t : Carbon dioxide emissions corresponding to the recycling of employee clothing in the enterprise in year t, t CO2e;

[0260] ER b1,t : The amount of carbon dioxide emissions reduced by the company's electricity and water savings in year t, t CO2e;

[0261] ER b2,t : The amount of carbon dioxide emissions reduced by the company's electricity and water savings in year t, t CO2e;

[0262] ER tr,e,t : The amount of carbon dioxide emissions reduction corresponding to the paperless office of the enterprise in year t, t CO2;

[0263] ER s,t : Carbon dioxide emissions corresponding to the low-carbon behavior of the enterprise in year t, t CO2e;

[0264] ER b,t : Emission reduction caused by an employee taking the shuttle bus in year t, t CO2;

[0265] ER g,t : Emission reduction caused by an employee taking public transportation in year t, t CO2;

[0266] ER x,t : Emission reduction brought about by an employee driving a new energy vehicle in year t, t CO2;

[0267] ER p,t : Emission reduction caused by a certain employee's carpooling in year t, t CO2;

[0268] ER z,t :The amount of carbon dioxide emissions reduction corresponding to the green travel of an employee in the tth year, t CO2 Although the embodiments of the present invention have been described, it can be understood by those skilled in the art that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for quantifying carbon benefit behavior of steel enterprise employees, characterized in that: The following steps are involved: Step 1: Identify the low-carbon behaviors of employees in steel enterprises and then classify them into collective low-carbon behaviors of employees and individual low-carbon behaviors of employees; Step 2: Use an automated data collection system to collect and process data on water and electricity usage, waste volume, and employee travel patterns and frequencies to ensure data accuracy and real-time updates; Step 3: Quantify the collective low-carbon behaviors of corporate employees and individual low-carbon behaviors, as well as the total carbon emission reduction, to systematically calculate and evaluate the actual effects of their low-carbon behaviors, and provide data support and decision-making basis for further carbon emission reduction measures.

2. A method for quantifying carbon benefit behavior of steel enterprise employees according to claim 1, characterized in that: The collective low-carbon behaviors of enterprise employees in step one include water and electricity conservation in the steel enterprise plant and living park, the use of high-efficiency equipment and measures to optimize energy use, and the promotion of paperless office.

3. The method for quantifying carbon benefit behavior of steel enterprise employees according to claim 1 is characterized in that: The individual low-carbon behaviors of the enterprise employees in the step one include bedding recycling and green travel, and the green travel includes taking the bus, driving a new energy vehicle, riding a bicycle or walking to and from get off work, taking a shuttle bus, and carpooling to work.

4. The method for quantifying carbon benefit behavior of steel enterprise employees according to claim 1 is characterized in that: The water and electricity usage in step 2 includes the weight of water used by the enterprise in the base year, the emission factor of water use, the weight of water used by the enterprise, and the electricity consumption of the enterprise in the base year, the emission factor of electricity use, and the electricity consumption of the enterprise.

5. The method for quantifying carbon benefit behavior of steel enterprise employees according to claim 1 is characterized in that: The amount of waste in step 2 includes the mass of bedding recycled by the enterprise, the greenhouse gas emission factor per unit mass of bedding, the number of electronic files used by the enterprise, the greenhouse gas emission factor per unit mass of office paper, and the mass of each piece of office paper.

6. A method for quantifying carbon benefit behavior of steel enterprise employees according to claim 1, characterized in that: The employee travel modes and frequencies in the step 2 include shuttle bus travel distance, total shuttle bus passengers, shuttle bus emission factors, etc., carpool travel distance, number of rides, number of carpool passengers, carpool emission factors, bus travel distance, number of rides, bus emission factors, new energy vehicle travel distance, new energy vehicle emission factors, number of rides, etc., as well as walking and cycling emission factors, and employee exercise steps.

7. A method for quantifying carbon benefit behavior of steel enterprise employees according to claim 6, characterized in that: The shuttle bus emission factor is based on the vehicle model and fuel type, obtained through experiments or industry databases, the carpooling emission factor is obtained through actual vehicle testing or industry average data, the bus emission factor is obtained from public transportation operating companies, or calculated based on electricity consumption and the carbon intensity of the local power grid, the new energy vehicle emission factor is obtained by querying the average emission intensity of the national or regional power grid, and the walking and cycling emission factor is obtained through relevant national departments.

8. The method for quantifying carbon benefit behavior of steel enterprise employees according to claim 1 is characterized in that: The quantitative calculation of the collective low-carbon behavior of enterprise employees in step three includes the quantitative calculation of water-saving behavior, the quantitative calculation of electricity-saving behavior and the quantitative calculation of paperless office low-carbon behavior.

9. A method for quantifying carbon benefit behavior of steel enterprise employees according to claim 1, characterized in that: The quantitative calculation of individual low-carbon behaviors of employees in the step three includes the quantitative calculation of low-carbon behaviors of corporate employees' clothing recycling, the quantitative calculation of low-carbon behaviors of green travel by public transportation, the quantitative calculation of low-carbon behaviors of green travel by driving new energy vehicles and taking shuttle buses, the quantitative calculation of low-carbon behaviors of green travel by walking or cycling, the quantitative calculation of low-carbon behaviors of green travel by shuttle buses, and the quantitative calculation of low-carbon behaviors of green travel by carpooling.

10. The method for quantifying carbon benefit behavior of steel enterprise employees according to claim 1, characterized in that: The calculation of the total carbon emission reduction in step three includes summarizing the carbon emission reduction calculated from all carbon emission reduction measures to obtain the total carbon dioxide emissions reduced by the enterprise through the implementation of various low-carbon measures during the inspection year.

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