Iron and steel industry carbon quota distribution method, verification device, verification method and system

Abstract

The embodiment of the invention provides an iron and steel industry carbon quota distribution method, verification equipment, a verification method and a system, and the method comprises the steps: obtaining the production content of a target enterprise, obtaining the actual quota of the target enterprise, calculating the emission difference value of the target enterprise in a quarter, and obtaining the actual quota of the target enterprise; the emission difference value is a difference value between the actual quota and the assumed quota of the target enterprise; and redistributing the carbon quota of the target enterprise in the next quarter according to the emission difference value. The invention relates to the field of carbon emission management. And dynamically adjusting the carbon quota distribution of the next quarter according to the emission difference in combination with the emission reduction effort of the target enterprise and the quota utilization condition in the region. For enterprises whose emission exceeds the assumed quota, appropriate quota deduction is carried out, and the enterprises are promoted to take energy-saving and emission-reducing measures. And further adjusting the carbon quota of the target enterprise in combination with the carbon emission data in the region and the regional quota utilization condition, so as to ensure that the overall carbon emission of the region is controlled.

Description

Technical Field

[0001] The present invention relates to the field of carbon emission management, and specifically refers to a carbon quota allocation method, verification equipment, verification method and system for the steel industry. Background Art

[0002] In the context of addressing global climate change and reducing greenhouse gas emissions, many countries and regions have adopted a carbon quota system to control the total carbon emissions of enterprises. The carbon quota allocation method is one of the key issues in the carbon market, which directly affects the behavior and economic benefits of enterprises in the carbon market. Traditional carbon quota allocation methods mainly include the historical emission method and the benchmark emission method, but they have certain limitations in practical applications and cannot effectively meet the carbon quota allocation needs of high-carbon emission industries such as the steel industry. The historical emission method is a way of allocating quotas based on the past carbon emissions of enterprises. This method allocates carbon quotas according to the emission situation of enterprises in the past few years, combined with the total carbon emission target, in a certain proportion. The advantage of this method is that it is simple and direct, and can allocate quotas according to the historical emission situation of enterprises, thus reflecting the emission contribution of enterprises. However, the historical emission method also has some disadvantages. First of all, it fails to fully consider factors such as the production process and energy use mode of enterprises. For those enterprises that have adopted low-carbon technologies and reduced emissions, using the historical emission method for allocation may result in unfair results, because the carbon emissions of such enterprises are relatively low, but their quotas may be too high based on past emission levels. Secondly, this method cannot adapt to the situation of technological progress and production mode changes in the industry, which may lead to excessive or insufficient quotas, thus affecting the carbon emission reduction incentives of enterprises. The benchmark emission method is another common carbon quota allocation method, which allocates quotas according to the benchmark emission intensity of the industry or the carbon emissions per unit product. In this method, each enterprise calculates the quota according to the specific materials produced and the benchmark emission factors required for the production process. The advantage of this method is that it can better reflect the energy types and technical levels used by different enterprises in the production process, and can achieve more fair quota allocation. However, the benchmark emission method also has certain limitations. First of all, the benchmark emission factors are usually set based on the average level of the industry, which may not be fair for some enterprises using advanced technologies. Since the emission levels of these enterprises are lower than the industry average level, the quotas allocated according to the benchmark emission method may be too much, and they cannot fully motivate enterprises to reduce carbon emissions. Secondly, the setting of the benchmark emission factors needs to be continuously adjusted to adapt to technological progress and production mode changes, otherwise it may lead to an imbalance in quota allocation.

[0003] Although the historical emission method and the baseline emission method have their respective applications in carbon quota allocation, these two methods cannot fully address the special needs of high-carbon emission industries such as the steel industry. In the production process of the steel industry, there are significant differences in the types of energy used and production processes, and the carbon emission levels of different enterprises vary significantly. Therefore, the existing quota allocation methods often cannot accurately reflect the efforts and actual situations of enterprises in emission control, and it is difficult to fully motivate enterprises to reduce emissions.

[0004] To overcome the deficiencies of the existing carbon quota allocation methods, the present invention proposes a new carbon quota allocation method for the steel industry. This method dynamically calculates the hypothetical quota of the target enterprise by obtaining the specific production content of the target enterprise, combining the life cycle weighting factors of different materials and the baseline emission factors, and reallocates the carbon quota according to the actual emission difference. In this way, the present invention can allocate carbon quotas more precisely to ensure that the carbon emissions of enterprises are reasonably controlled and motivated. Summary of the Invention

[0005] According to an embodiment of the present invention, there is provided a carbon quota allocation method, a calibration device, a calibration method, and a system for the steel industry. It is used to solve the problems in the existing background.

[0006] In the first aspect of the present invention, there is provided a carbon quota allocation method for the steel industry.

[0007] The carbon quota allocation method for the steel industry comprises the following steps:

[0008] Obtain the production content of the target enterprise, where the production content includes the types of production materials and the output of different types of production materials of the target enterprise within a quarter;

[0009] Obtain the baseline emission factors of different types of production materials, construct a baseline emission factor database, and set life cycle weighting factors in combination with the life cycle stages of different materials;

[0010] Based on the production content, the life cycle weighting factors, and the corresponding baseline emission factors in the baseline emission factor database, calculate the hypothetical quota of the target enterprise;

[0011] Allocate the carbon quota of the target enterprise in the next quarter in advance according to the hypothetical quota;

[0012] Obtain the actual quota of the target enterprise through multiple carbon dioxide sensors, calculate the emission difference of the target enterprise within a quarter, where the emission difference is the difference between the actual quota and the hypothetical quota of the target enterprise;

[0013] Calibrate the carbon dioxide sensors using carbon dioxide with a standard concentration;

[0014] Reallocate the carbon quota of target enterprises in the next quarter according to the said emission difference.

[0015] Preferably, the calculation formula for the assumed quota of target enterprises is:

[0016]

[0017] Q h : Assumed quota;

[0018] P i : Output of the i-th material produced by the target enterprise;

[0019] E i : Benchmark emission factor of the i-th material;

[0020] W i ; Life cycle weighting factor of the i-th material;

[0021] τ(t): Time decay factor,

[0022] γ i : Policy inclination coefficient, where:

[0023] For green materials, γ i = 1.05;

[0024] For high-energy-consuming materials, γ i = 0.95;

[0025] For other materials, γ i = 1;

[0026] tanh(·): Hyperbolic tangent function, used to compress the value range of the non-linear correction term (tanh(x) ∈ [-1, 1])

[0027] N: Total number of material types produced by the target enterprise;

[0028] t: Time variable.

[0029] Preferably, the calculation formula for calculating the emission difference of target enterprises within a quarter is:

[0030]

[0031] Sub-formula:

[0032]

[0033] D: Emission difference;

[0034] D c : Benchmark corrected emission difference;

[0035] Q a: Actual quota;

[0036] σ h : Historical emission volatility;

[0037] μ t : Average emission of top enterprises in the industry;

[0038] T d : Temperature on the d-th day;

[0039] H d : Humidity on the d-th day.

[0040] Preferably, it further includes dynamically allocating the carbon quota for the target enterprise in the next quarter by combining the quota utilization rate and the energy structure correction coefficient of the region where the target enterprise is located. The adjustment includes the following steps:

[0041] Obtain the quota utilization rate of the region where the target enterprise is located. The calculation formula is:

[0042]

[0043] Where:

[0044] U r : Regional quota utilization rate;

[0045] E rt : Total emissions of all enterprises in the region;

[0046] Q rt : Total regional carbon quota;

[0047] Obtain the energy structure correction coefficient of the region where the target enterprise is located. The calculation formula is:

[0048]

[0049] Where:

[0050] C e : Energy structure correction coefficient

[0051] E rk : Energy carbon emissions of the target region;

[0052] E na : Average value of national energy carbon emissions;

[0053] M: Total number of energy types.

[0054] Preferably, calculate the carbon quota of the target enterprise in the next quarter. The calculation formula is:

[0055]

[0056] Q nq: Carbon quota for the next quarter;

[0057] α: Emission difference adjustment coefficient;

[0058] β: Regional utilization rate adjustment coefficient;

[0059] γ: Energy structure correction adjustment coefficient;

[0060] Decay function.

[0061] Preferably, the calculation formula of the life cycle weighting factor is:

[0062]

[0063] Chaotic sequence: x n+1 = 3.9x n (1 - x n ), x0 = 0.5

[0064] W i : Life cycle weighting factor of the i-th material;

[0065] C ijs : Carbon emission of the i-th material in stage j, sub-stage s;

[0066] ω js : Weight coefficient of stage j, sub-stage s;

[0067] S j : Number of sub-stages in stage j (by default, S1 = S2 = S3 = S4 = 3);

[0068] x n : Chaotic perturbation term.

[0069] Preferably, the default value of the weight coefficient is:

[0070] ω1 = 0.3, ω2 = 0.4 - 0.1η, ω3 = 0.2, ω4 = 0.1 + 0.1η;

[0071] ω j : Weight coefficient of life cycle stage j;

[0072] η: Technical advancement correction factor.

[0073] A calibration device is also proposed, and the calibration device includes a mobile frame, a mounting seat, an adjustment mechanism, a testing mechanism, a bottom plate, a top plate, a slider and a sliding rod;

[0074] The mobile frame is connected to the mounting base, the bottom plate is mounted on the mounting base, the bottom plate is connected to the top plate through a sliding rod, the slider is slidably connected to the sliding rod, the adjustment mechanism is used to drive the slider to move, and the testing mechanism is used to calibrate the carbon dioxide sensor;

[0075] The testing mechanism includes an isolation cover, a rubber ring, an air inlet pipe, a tank body, a connecting rod, a valve, a convex block, a sliding sleeve, a sliding rail and a housing;

[0076] The isolation cover is connected to the convex block through the connecting rod, the convex block passes through the housing and is connected to the sliding sleeve, the sliding sleeve is slidably connected to the sliding rail, the sliding rail is connected to the housing, the isolation cover is connected to the rubber ring, the isolation cover is connected to the air inlet pipe, the air inlet pipe is connected to the valve, and the valve is connected to the tank body;

[0077] The adjustment mechanism includes a motor and a screw;

[0078] The motor is connected to the mobile frame, the output end of the motor is connected to the screw, and the screw is threadedly connected to the slider.

[0079] A calibration method is also proposed, including the following steps:

[0080] Move the calibration device and push the mobile frame to the vicinity of the carbon dioxide sensor in the factory;

[0081] Adjust the height of the testing mechanism, start the motor, the motor drives the screw to rotate, and the screw drives the slider to move when rotating, and the slider drives the testing mechanism to adjust the height;

[0082] Adjust the testing position, pull the isolation cover, and the isolation cover drives the isolation cover to cover the carbon dioxide sensor;

[0083] Start the test, open the valve, the carbon dioxide with a standard concentration in the tank body enters the air inlet pipe, enters the isolation cover through the air inlet pipe, and the carbon dioxide sensor located in the isolation cover monitors and calibrates the carbon dioxide with a standard concentration.

[0084] A carbon quota allocation system for the steel industry is also proposed, including:

[0085] A production content acquisition module, configured to acquire the production content of the target enterprise, and the production content includes the types of production materials and the output of different types of production materials of the target enterprise within a quarter;

[0086] A database storage module, configured to store the benchmark emission factors of different types of production materials, and store the life cycle weighting factors set in combination with the life cycle stages of different materials;

[0087] A selection module, connected to the database storage module, is configured to obtain the baseline emission factor and the corresponding life cycle weighting factor of the corresponding type of production materials in the database storage module;

[0088] A hypothetical quota calculation module, connected to the selection module and the production content acquisition module, is configured to receive the production content from the production content acquisition module, and receive the baseline emission factor and the corresponding life cycle weighting factor of the corresponding type of production materials from the selection module, and calculate the hypothetical quota of the target enterprise;

[0089] An allocation module, connected to the hypothetical quota calculation module, is configured to obtain the hypothetical quota of the target enterprise calculated by the hypothetical quota calculation module, and pre-allocate the carbon quota of the target enterprise in the next quarter;

[0090] An actual quota acquisition module, is configured to obtain the actual quota of the target enterprise;

[0091] An emission difference calculation module: connected to the actual quota acquisition module and the hypothetical quota calculation module, is configured to calculate the emission difference of the target enterprise in a quarter, and the emission difference is the difference between the actual quota and the hypothetical quota of the target enterprise;

[0092] A quota adjustment module, connected to the allocation module and the emission difference calculation module, is configured to re-allocate the carbon quota of the target enterprise in the next quarter according to the emission difference.

[0093] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0094] 1. A carbon quota allocation method, verification device, verification method and system for the iron and steel industry provided by the present invention dynamically adjust the carbon quota allocation in the next quarter according to the emission difference, combined with the emission reduction efforts of the target enterprise and the quota utilization situation in the region. For enterprises whose emissions exceed the hypothetical quota, appropriate quota deductions are made to encourage them to take energy-saving and emission-reduction measures. Combining the carbon emission data in the region and the quota utilization situation in the region, the carbon quota of the target enterprise is further adjusted to ensure that the overall carbon emissions in the region are controlled.

[0095] 2. A carbon quota allocation method, verification device, verification method and system for the iron and steel industry provided by the present invention dynamically adjust the hypothetical quota based on the actual emission data, ensuring the rationality and flexibility of the quota allocation, and at the same time encouraging enterprises to adopt low-carbon technologies and reduce carbon emissions.

[0096] It should be understood that the content described in the invention content section is not intended to limit the key or important features of the embodiments of the present invention, nor is it used to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. Description of the Drawings

[0097] In conjunction with the accompanying drawings and with reference to the following detailed description, the above and other features, advantages and aspects of the embodiments of the present invention will become more apparent. In the drawings, the same or similar reference numerals denote the same or similar elements, where:

[0098] Figure 1 A flowchart of a carbon quota allocation method for the steel industry according to an embodiment of the present invention is shown;

[0099] Figure 2 A flowchart of the calculation of emission difference for the carbon quota allocation method of the steel industry according to an embodiment of the present invention is shown;

[0100] Figure 3 A system block diagram of a carbon quota allocation system for the steel industry according to an embodiment of the present invention is shown;

[0101] Figure 4 A system block diagram of the calculation of emission difference for the carbon quota allocation system of the steel industry according to an embodiment of the present invention is shown;

[0102] Figure 5 A three-dimensional connection structure schematic diagram of a calibration device according to an embodiment of the present invention is shown;

[0103] Figure 6 An exploded view of a calibration device according to an embodiment of the present invention is shown;

[0104] Figure 7 A connection structure schematic diagram of a test mechanism of a calibration device according to an embodiment of the present invention is shown;

[0105] Figure 8 A connection structure schematic diagram of a bump, a sliding sleeve and a slide rail of a calibration device according to an embodiment of the present invention is shown;

[0106] Figure 9 A connection structure schematic diagram of an isolation cover, a rubber ring and an air inlet pipe of a calibration device according to an embodiment of the present invention is shown;

[0107] Figure 10 A connection structure schematic diagram of an adjustment mechanism of a calibration device according to an embodiment of the present invention is shown.

[0108] Explanation of reference numerals:

[0109] 1 - Moving frame, 2 - Mounting base, 3 - Bottom plate, 4 - Frame body, 5 - Adjusting mechanism, 501 - Motor, 502 - Screw rod, 6 - Testing mechanism, 601 - Isolation cover, 602 - Rubber ring, 603 - Air inlet pipe, 604 - Tank body, 605 - Connecting rod, 606 - Valve, 607 - Outer shell, 608 - Protrusion, 609 - Sliding sleeve, 610 - Slide rail, 7 - Top plate, 8 - Slide block, 9 - Slide bar. Detailed implementation manner

[0110] To make the objectives, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0111] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B may represent: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " in this article generally represents an "or" relationship between the associated objects before and after.

[0112] As Figures 1 to 10 shown, the carbon quota allocation method for the steel industry includes the following steps:

[0113] First, it is necessary to obtain the actual production content of a certain enterprise. Specifically, the production content includes the following two parts: Types of production materials: Various steel materials produced by steel enterprises according to market demand, such as hot-rolled steel, cold-rolled steel, stainless steel, etc. The production processes and carbon emission characteristics of each steel material are different, and each enterprise produces a variety of steel materials, so it is necessary to calculate their carbon emissions separately. It is also necessary to obtain the production volume of the target enterprise for the corresponding material types: The specific quantities of various materials produced by the target enterprise within a quarter. The collection of these data can also be obtained through the enterprise's production planning system or production data acquisition system or obtained from the industry-related database system.

[0114] The carbon emission factor of each steel material is calculated based on its energy consumption and other emission factors during the production process, which belongs to industry standards or national specifications. During implementation, the baseline emission factor is obtained through the following steps. According to national and industry standards, the baseline emission factor of each steel material is obtained. These baseline emission factors reflect the amount of greenhouse gases such as carbon dioxide emitted by the material per unit of production, and by establishing a database containing different types of steel materials and their corresponding baseline emission factors, the accuracy and traceability of the data are ensured. This baseline emission factor database can store the baseline emission factors of multiple materials and be updated in a timely manner according to production processes, technological developments, and regional differences.

[0115] It is assumed that the quota is calculated based on the production content of the target enterprise and the baseline emission factor. Based on the calculated assumed quota, combined with the carbon emission limits and industry standards in the region where the target enterprise is located, a preliminary plan for carbon quota allocation is formulated.

[0116] Through the enterprise's carbon emission monitoring system, the actual carbon emissions of the target enterprise within a quarter are obtained. The carbon emissions monitored by the carbon emission monitoring system are the actual quota. Then, based on the difference between the actual emission data of the target enterprise and the assumed quota, the emission difference result is obtained. According to the emission difference, combined with the target enterprise's emission reduction efforts and the quota utilization situation within the region, the carbon quota allocation for the next quarter is dynamically adjusted. Specific operations may include, but are not limited to: for enterprises with emissions lower than the assumed quota, considering giving more quota rewards in the next quarter to encourage them to continue reducing carbon emissions; for enterprises with emissions exceeding the assumed quota, making appropriate quota deductions to prompt them to take energy conservation and emission reduction measures. Combining the carbon emission data within the region and the quota utilization situation within the region, the carbon quota of the target enterprise is further adjusted to ensure that the overall carbon emissions in the region are controlled.

[0117] General symbol definitions

[0118]

[0119] In this implementation manner, the calculation formula for the assumed quota of the target enterprise is:

[0120]

[0121]

[0122] Numerical setting:

[0123] · The target enterprise produces 3 types of materials (N = 3), and the parameters are as follows:

[0124]

[0125] The current quarter number t = 3, time decay factor

[0126] First item (linear part):

[0127] Hot-rolled steel: 1000 × 1.8 × 0.85 × 1.0 × 1.05 = 1606.5 tons of CO2

[0128] Cold-rolled steel: 800 × 2.2 × 0.92 × 1.0 × 1.0 = 1619.2 tons of CO2

[0129] Stainless steel: 600 × 3.0 × 0.78 × 1.0 × 0.95 = 1333.8 tons of CO2

[0130] ∑: 1606.5 + 1619.2 + 1333.8 = 4559.5 tons of CO2

[0131] Second item (nonlinear correction):

[0132]

[0133] Cold-rolled steel:

[0134] Stainless steel:

[0135] ∑: 3.24 + 3.10 + 3.24 = 9.58 tons of CO2

[0136] Total assumed quota:

[0137] Q h = 4559.5 + 9.58 ≈ 4569.1 tons of CO2

[0138] It should be further noted that: The baseline emission factor reflects the amount of carbon dioxide emissions generated per ton of material produced, and these values are from industry norms or national standards. For example, since the production process of stainless steel is usually more energy-intensive, the emission factor of hot-rolled steel is lower while that of stainless steel is higher. The life cycle weighting factor is weighted according to the carbon emission contribution in the entire life cycle of the material. The life cycle weighting factor of hot-rolled steel indicates that the carbon emissions during its production life cycle are relatively significant, while the weighting factors of cold-rolled steel and stainless steel are adjusted according to their different production and usage stages. Among them, the assumed quota is calculated by considering the types of materials actually produced by the target enterprise, the production volume of each material, the baseline emission factor, and the life cycle weighting factor. This calculation result is the theoretical carbon quota allocated to the target enterprise. It reflects the quota that the enterprise should obtain according to its existing production methods and production volume.

[0139] Furthermore, by combining production content with carbon emission factors and life cycle weighting factors, it is possible to evaluate the carbon emissions of each enterprise, thereby allocating reasonable carbon quotas for enterprises, avoiding excessive or insufficient quota allocations. Moreover, this method takes into account multiple factors such as the types of production materials, baseline emission factors, and life cycle stages, not only reflecting the carbon emission characteristics of enterprises but also providing data support for subsequent dynamic adjustments. At the same time, based on actual emission data, the assumed quotas are dynamically adjusted to ensure the reasonableness and flexibility of quota allocation, while motivating enterprises to adopt low-carbon technologies and reduce carbon emissions.

[0140] In this embodiment, to ensure that the carbon quota allocation of iron and steel enterprises conforms to the actual emission situation, the method of the present invention dynamically adjusts the carbon quota by calculating the emission difference of the target enterprise. The emission difference refers to the gap between the actual emissions of the target enterprise in a certain quarter and the assumed quota. This difference can reflect whether the enterprise has over-emitted or not fully utilized the allocated carbon quota, thus providing a basis for the adjustment of carbon quotas. Suppose the actual carbon emission data and assumed quota data of the target enterprise are as follows:

[0141]

[0142] Sub-formula:

[0143]

[0144]

[0145] Numerical setting:

[0146] Actual quota Q a = 4800 tons of CO2;

[0147] Historical volatility σ h = 200 tons of CO2;

[0148] Industry top mean μ t = 4500 tons of CO2;

[0149] Climate data: 30-day average temperature T d = 25 °C, humidity H d = 60%.

[0150] Calculation process:

[0151] Calculate D c :

[0152]

[0153] Calculate D:

[0154]

[0155] Climate compensation item:

[0156] D = 258 + 3967.5 = 4225.5 tons of CO2

[0157] It should be noted that: due to the excessively large value of the climate compensation item, its influence range needs to be restricted in actual applications, and the specific coefficient can be adjusted and modified according to actual needs.

[0158] This difference indicates that the enterprise's emissions exceed the carbon quota theoretically allocated to it, resulting in the need for additional quotas or emission reduction measures to make up for this gap. If the difference is negative (for example, the actual quota is less than the assumed quota), it means that the target enterprise's carbon emissions are lower than the theoretical quota. By calculating the emission difference, the gap between the actual situation of the steel enterprise's carbon emissions and the expected emissions is clarified, which serves as the basis for future quota allocation and adjustment. This difference provides data support for subsequent quota adjustment. If the emission difference is positive, the regulatory agency can consider imposing appropriate penalty measures on the enterprise, such as reducing the next quarter's quota or requiring the enterprise to pay for the excess emissions. If the emission difference is negative, the regulatory agency will reward the enterprise for the unused quota. The emission difference is calculated not only based on the current production situation of the target enterprise but also considering the historical emission trend. If the target enterprise continuously exceeds the emission standard for multiple quarters, the emission difference may gradually increase, thus affecting the future quota allocation strategy. By setting the emission difference to reward and punish steel enterprises, it can promote steel enterprises to reduce emissions by improving production processes or adopting clean energy, thereby promoting more effective carbon emission reduction in steel enterprises.

[0159] In this embodiment, the carbon quota allocation method for the steel industry is not only based on the production situation of the target enterprise but also takes into account the carbon emission characteristics of the region where the steel enterprise is located and the impact of energy use. By combining the regional quota utilization rate and the energy structure correction coefficient, the carbon quota of the target enterprise can be dynamically adjusted, thereby allocating quotas and guiding the steel enterprises in the region to reduce emissions.

[0160] Suppose the target enterprise is located in Region A, and the production situation and emission data of the target enterprise in this region are as follows:

[0161] Regional quota utilization rate:

[0162]

[0163] Energy structure correction coefficient:

[0164]

[0165]

[0166] Value setting:

[0167] Total regional emissions E rt = 50,000 tons of CO2, total quota Q rt = 45,000 tons of CO2;

[0168] Carbon emissions from regional energy: coal E r1 = 35,000 tons of CO2, natural gas E r2 = 10,000 tons of CO2, renewable energy

[0169] E r3 = 5,000 tons of CO2;

[0170] National energy average E na = 20,000 tons of CO2, number of energy types M = 3.

[0171] Calculation process:

[0172] Regional quota utilization rate:

[0173]

[0174] Energy structure correction factor:

[0175]

[0176] By setting the regional quota utilization rate, the relationship between the actual emissions of all steel enterprises in the region and the total carbon quota is measured, reflecting the overall pressure of regional carbon emissions. The higher the quota utilization rate, it means that the carbon emissions in this region exceed the allocated quota, and it is necessary to solve this problem by reducing carbon emissions or increasing quota limits. The energy structure correction factor is used to adjust the different emissions caused by energy type differences. In regions dominated by coal, due to the high coal emissions, the correction factor is set to 1.2, thus having a greater impact on the carbon emissions of enterprises in Region A in quota calculation. Through dynamic adjustment, enterprises can obtain more reasonable carbon quotas based on actual emissions and regional carbon emission pressure. This method not only helps enterprises allocate resources reasonably, but also promotes the realization of the overall regional emission reduction goal, avoiding resource waste and excessive carbon emissions. Dynamic adjustment is carried out according to the emission difference, regional characteristics and energy use conditions to ensure that the allocation of carbon quotas is more accurate and can better reflect the actual emission level of enterprises and the environmental impact of their regions. Through the dynamic adjustment mechanism, enterprises are encouraged to carry out technological innovation and improvement in reducing carbon emissions, promoting the low-carbon transformation of enterprises.

[0177] In this embodiment, the life-cycle weighting factor is used to adjust the carbon emission impact of each steel material throughout its life cycle. This life-cycle weighting factor combines the carbon emission data of raw material procurement, production, use, and waste recycling stages to ensure that the calculation of carbon quotas takes into account the contribution of each stage to the total carbon emissions. The life-cycle weighting factor makes the quota allocation more precise, helps encourage enterprises to optimize the entire production chain, and reduce carbon emissions.

[0178]

[0179]

[0180] Numerical setting:

[0181] α = 0.1, β = 0.05, γ = 0.03;

[0182] Q h = 4569.1 tons of CO2, D = 4225.5 tons of CO2, U r = 1.111, C e = 0.833.

[0183] Calculation process:

[0184] Emission difference adjustment term:

[0185]

[0186] Regional pressure adjustment term:

[0187]

[0188] Energy structure compensation term:

[0189] 4569.1×(0.833 - 1)×0.03×e -|0.833-1| ≈4569.1×(-0.167)×0.03×0.846≈ - 20.4 tons of CO2

[0190] Total next-quarter quota:

[0191] Q nq = 4569.1 + 469.1 + 25.3 - 20.4≈5043.1 tons of CO2

[0192] In this embodiment, during the carbon quota allocation process in the steel industry, the life-cycle weighting factor plays a key role, which determines the contribution ratio of carbon emissions in each stage to the total carbon emission quota. To promote enterprises to adopt low-carbon technologies and improve the resource recovery utilization rate, the method of the present invention can dynamically adjust the weight coefficient of the life-cycle weighting factor, and flexibly adjust it according to the actual production situation of the target enterprise, the proportion of clean energy used, and the waste recovery rate.

[0193]

[0194] Chaotic sequence: x n+1 = 3.9x n (1 - x n ), x0 = 0.5

[0195]

[0196] Numerical setting (taking hot-rolled steel as an example):

[0197] Carbon emissions in sub-phase (tons of CO2):

[0198]

[0199] Weight of sub-phase (total is the original ω j ):

[0200]

[0201] For the chaotic sequence, x0 = 0.5, x1 = 3.9×0.5×0.5 = 0.975.

[0202] Calculation process:

[0203] Calculation of the numerator:

[0204] (50×0.1 + 30×0.1 + 20×0.1)+(120×0.2 + 80×0.15 + 50×0.05)+... = 53.75 tons of CO2

[0205] Calculation of the denominator:

[0206] (50 + 30 + 20)+(120 + 80 + 50)+(40 + 20 + 10)+(15 + 10 + 5)= 450 tons of CO2

[0207] Weighting factor:

[0208]

[0209] Furthermore, dynamically adjusting the weight coefficient of the life-cycle weighting factor helps to flexibly adjust carbon quotas according to the proportion of clean energy actually adopted by enterprises and the waste recovery rate, encouraging enterprises to carry out low-carbon transformation and resource recycling. Through the refined analysis of enterprises' carbon emissions and resource utilization, the method can promote the overall development of the industry towards low-carbon and high-efficiency. This adjustment mechanism enables enterprises to obtain corresponding quota support based on their environmental contributions through the dynamic adjustment of the carbon emission weight coefficients at each stage. At the same time, it also avoids a single fixed quota allocation method, making the quota allocation more fair and reasonable. When implementing this method, the proportion of clean energy used by enterprises and the waste recovery rate will change with technological progress and the optimization of the production process. Therefore, the weight coefficient of the life-cycle weighting factor needs to be updated regularly to ensure that the allocation of carbon quotas is consistent with enterprises' emission reduction efforts.

[0210] In this embodiment, the default values of the weight coefficients are:

[0211] ω1 = 0.3, ω2 = 0.4 - 0.1η, ω3 = 0.2, ω4 = 0.1 + 0.1η

[0212]

[0213] Value setting:

[0214] The enterprise technology advancement correction factor η = 0.5.

[0215] Calculation result:

[0216] ω2 = 0.4 - 0.1×0.5 = 0.35, ω4 = 0.1 + 0.1×0.5 = 0.15

[0217] Adjusted weights:

[0218] ω1 = 0.3, ω2 = 0.35, ω3 = 0.2, ω4 = 0.15

[0219] In addition, another embodiment of the present invention further provides a calibration device, which is intended to provide a reliable tool for the calibration of the carbon dioxide sensor, ensuring that the carbon dioxide sensor can accurately measure the carbon dioxide concentration in scenes such as industrial production. The calibration device includes a mobile frame 1, a mounting seat 2, an adjustment mechanism 5, a test mechanism 6, a bottom plate 3, a top plate 7, a slider 8 and a slide bar 9. The mobile frame 1 is connected to the mounting seat 2 to provide a movable foundation for the entire device, which is convenient for calibrating different carbon dioxide sensors at different positions. The bottom plate 3 is installed on the mounting seat 2 to play a supporting role. The bottom plate 3 is connected to the top plate 7 through the slide bar 9 to form a stable frame structure. The slider 8 is slidably connected to the slide bar 9, and the adjustment mechanism 5 is used to drive the slider 8 to move. By adjusting the position of the slider 8, the height of the test mechanism 6 can be adjusted to adapt to carbon dioxide sensors with different installation heights. The test mechanism 6 is used to calibrate the carbon dioxide sensor and is the core part of the calibration device.

[0220] The testing mechanism 6 includes an isolation cover 601, a rubber ring 602, an air inlet pipe 603, a tank body 604, a connecting rod 605, a valve 606, a bump 608, a sleeve 609, a slide rail 610 and a housing 607. The isolation cover 601 is connected to the bump 608 through the connecting rod 605, the bump 608 passes through the housing 607 and is connected to the sleeve 609, the sleeve 609 is slidably connected to the slide rail 610, and the slide rail 610 is connected to the housing 607, so that the isolation cover 601 can move along the slide rail 610, which is convenient for aligning carbon dioxide sensors at different positions. The isolation cover 601 is connected to the rubber ring 602, and the rubber ring 602 can improve the shielding effect of the carbon dioxide sensor by its own elastic deformation, so as to prevent the external airflow from affecting the accuracy of the calibration result. The isolation cover 601 is connected to the air inlet pipe 603, the air inlet pipe 603 is connected to the valve 606, the valve 606 is connected to the tank body 604, the tank body 604 stores carbon dioxide of standard concentration, and the standard gas can be transported to the isolation cover 601 through the control of the valve 606 for calibration of the carbon dioxide sensor. The tank body 604 is fixed on the mobile frame 1 through the frame body 4.

[0221] The adjustment mechanism 5 includes a motor 501 and a screw 502. The motor 501 is connected to the mobile frame 1 to provide power support for the entire adjustment process. The output end of the motor 501 is connected to the screw 502, and the screw 502 is threadedly connected to the slider 8. When the motor 501 is started, the rotational power output by the motor 501 is converted into a linear motion of the slider 8 through the screw 502, thereby achieving the adjustment of the height of the test mechanism 6.

[0222] In actual use, first, the operator needs to push the mobile rack 1 according to the distribution of carbon dioxide sensors in the factory so that the calibration device reaches near the target carbon dioxide sensor. After reaching the designated position, start the motor 501, and the motor 501 starts to work. The output shaft of the motor 501 drives the screw 502 to rotate. Since the screw 502 is threadedly connected to the slider 8, the rotation of the screw 502 drives the slider 8 to move up and down along the slide rod 9. During the movement of the slider 8, the test mechanism 6 connected thereto is driven to adjust the height synchronously. By controlling the start and stop of the motor 501, the test mechanism 6 is adjusted to a height position suitable for the carbon dioxide sensor to ensure the smooth progress of subsequent testing work.

[0223] In addition, another embodiment of the present invention also provides a calibration method, including the following steps:

[0224] Move the calibration device: Push the mobile rack 1 to reach near the carbon dioxide sensor in the factory. During the pushing process, it is necessary to ensure the smooth movement of the mobile rack 1 to avoid loosening or damage of the internal components of the device due to shaking. At the same time, according to the actual position of the sensor, select a suitable movement path to minimize the obstacles during the movement.

[0225] Adjust the height of the test mechanism 6: Start the motor 501, and the motor 501 drives the screw 502 to rotate. When the screw 502 rotates, it drives the slider 8 to move, and the slider 8 drives the test mechanism 6 to adjust the height. During this process, the operator needs to accurately judge whether the height of the test mechanism 6 is appropriate by observing or with the help of some auxiliary measuring tools, so as to stop the motor 501 in time to prevent excessive or insufficient height adjustment.

[0226] Adjust the test position: Pull the isolation cover 601, and the isolation cover 601 drives itself to move along the slide rail 610 through the connecting rod 605, the convex block 608, and the sliding sleeve 609 until the isolation cover 601 covers the carbon dioxide sensor. At the same time, it is necessary to ensure that the isolation cover 601 fits around the carbon dioxide sensor, and the rubber ring 602 plays a sealing role to prevent the influence of external air flow on the accuracy of the result.

[0227] Start the test: Open valve 606, and the carbon dioxide with standard concentration in tank 604 enters into intake pipe 603, and then enters into isolation cover 601 through intake pipe 603. The carbon dioxide sensor located in isolation cover 601 monitors and calibrates the carbon dioxide with standard concentration. When opening valve 606, operate slowly to control the inflow rate of the gas and avoid impacting the sensor due to too fast gas flow rate, which may affect the calibration result. During the sensor calibration process, the operator needs to wait for a period of time to allow the sensor to fully sense the standard gas concentration and ensure the accuracy of the calibration data. After calibration is completed, close valve 606, record the calibration data, and move the calibration equipment to the position of the next carbon dioxide sensor to be calibrated, and repeat the above operations.

[0228] In addition, another embodiment of the present invention further provides a carbon quota allocation system for the steel industry, including:

[0229] The production content acquisition module is configured to acquire the production content of the target enterprise. The production content includes the types of production materials and the output of different material types produced by the target enterprise within a quarter. This module can collect and store the production data of the enterprise within the specified time in real time to ensure the accuracy of subsequent quota calculations. The main functions of the production content acquisition module include: determining the types of materials produced by the target enterprise; acquiring the production quantity (output) of each material; providing production content data for subsequent calculations.

[0230] The database storage module is configured to store the benchmark emission factors of different production material types and store the life cycle weighting factors set in combination with different material life cycle stages. This module plays an important role in the system. Through long-term data storage and maintenance, it ensures the accuracy and update of the benchmark emission factors and life cycle weighting factors. The main functions of the database storage module include: storing and managing the benchmark emission factors of different material types; storing and managing the life cycle weighting factors of different materials; providing the correct benchmark emission factors and life cycle weighting factors according to the production content of the enterprise.

[0231] The selection module is connected to the database storage module and is configured to acquire and select the benchmark emission factors corresponding to the production material types and the corresponding life cycle weighting factors from the database storage module. The main functions of this module are: acquiring and selecting the benchmark emission factors corresponding to the production content of the target enterprise; acquiring the life cycle weighting factors corresponding to the production content of the target enterprise; ensuring to provide accurate benchmark emission factors and life cycle weighting factors for subsequent hypothetical quota calculations.

[0232] Suppose the hypothetical quota calculation module is connected to the selection module and the production content acquisition module, and is configured to receive the production content from the production content acquisition module, and receive the baseline emission factor and the corresponding life cycle weighting factor of the corresponding production material type from the selection module. Based on this information, it is assumed that the hypothetical quota calculation module can accurately calculate the hypothetical quota of the target enterprise. The functions of the hypothetical quota calculation module include: receiving and processing the production data (material type and output) of the target enterprise; calculating the hypothetical quota according to the production content, life cycle weighting factor and baseline emission factor; outputting the hypothetical quota of the target enterprise to provide a basis for subsequent allocation and adjustment.

[0233] The allocation module is connected to the hypothetical quota calculation module and is configured to obtain the hypothetical quota of the target enterprise calculated by the hypothetical quota calculation module and pre-allocate the carbon quota of the target enterprise within the next quarter. The main functions of this module are: pre-allocating the carbon quota for the next quarter based on the hypothetical quota output by the hypothetical quota calculation module; ensuring the rationality and accuracy of carbon quota allocation and avoiding the situation of excessive or insufficient quotas; providing the pre-allocated carbon quota data for the subsequent emission difference calculation module.

[0234] The actual quota acquisition module is configured to obtain the actual quota of the target enterprise. The main functions of this module are: receiving and processing the actual quota data of the target enterprise; providing actual quota information for calculating the emission difference.

[0235] The emission difference calculation module is connected to the actual quota acquisition module and the hypothetical quota calculation module, and is configured to calculate the emission difference of the target enterprise within a quarter. The emission difference is the difference between the actual quota and the hypothetical quota of the target enterprise. The main functions of this module are: comparing the actual emissions of the target enterprise with the hypothetical quota; calculating the emission difference to determine whether the enterprise has exceeded emissions or not fully utilized the quota; transmitting the calculated emission difference to the quota adjustment module for carbon quota adjustment in the next quarter.

[0236] The quota adjustment module is connected to the allocation module and the emission difference calculation module, and is configured to re-allocate the carbon quota of the target enterprise in the next quarter according to the emission difference. The main functions of this module are: re-adjusting the carbon quota of the target enterprise according to the emission difference; reducing the quota in the next quarter when the actual emissions of the target enterprise are lower than the hypothetical quota; increasing the quota in the next quarter when the actual emissions of the target enterprise are higher than the hypothetical quota; ensuring that the dynamic adjustment of carbon quota allocation meets the carbon emission control target and motivating enterprises to reduce carbon emissions.

[0237] The above specific embodiments do not constitute a limitation to the protection scope of the present invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A method for allocating carbon quotas in the steel industry, characterized in that: The following steps are involved: Obtaining the production content of the target enterprise, the production content including the types of production materials and the output of different types of production materials of the target enterprise in one quarter; Obtain the baseline emission factors for different types of production materials, build a baseline emission factor database, and set life cycle weighting factors based on the life cycle stages of different materials; Calculate a hypothetical quota for the target enterprise based on the production content, the life cycle weighted factor and the corresponding benchmark emission factor in the benchmark emission factor database; According to the hypothetical quota, pre-allocate the target enterprise's carbon quota for the next quarter; Acquire the actual quota of the target enterprise through multiple carbon dioxide sensors, and calculate the emission difference of the target enterprise in a quarter, where the emission difference is the difference between the actual quota of the target enterprise and the assumed quota; calibrating the carbon dioxide sensor using a standard concentration of carbon dioxide; The carbon quota of the target enterprise in the next quarter is reallocated according to the emission difference.

2. The method for allocating carbon quotas for the steel industry according to claim 1, characterized in that: The calculation formula for the target enterprise's hypothetical quota is: Q h : Assume quota; P i : The output of the i-th material produced by the target enterprise; E i : The baseline emission factor for the ith material; W i ; Life cycle weighting factor of the i-th material; τ(t): time decay factor, γ i : Policy tilt coefficient, where: Green Materials¶ i =1.05; High energy consuming materials i =0.95; Other Materials¶ i =1; tanh(·): hyperbolic tangent function, used to compress the range of nonlinear correction terms (tanh(x)∈[-1,1]) N: the total number of material types produced by the target enterprise; t: time variable.

3. The method for allocating carbon quotas for the steel industry according to claim 1, characterized in that: The calculation formula for the target enterprise’s emission difference within a quarter is: Sub formula: D: emission difference; D c : Corrected emission difference against benchmark; Q a : actual quota; σ h : historical emission volatility; μ t : Average emissions of top companies in the industry; T d : temperature on day d; H d : Humidity on day d.

4. The method for allocating carbon quotas for the steel industry according to claim 3, characterized in that: It also includes dynamically allocating the target enterprise's carbon quota for the next quarter in combination with the quota utilization rate and energy structure correction coefficient of the target enterprise's region. The adjustment includes the following steps: Get the quota utilization rate of the target enterprise's region. The calculation formula is: in: U r : Regional quota utilization rate; E rt : Total emissions of all enterprises in the region; Q rt : Regional total carbon quota; Obtain the energy structure correction coefficient of the region where the target enterprise is located. The calculation formula is: in: C e : Energy structure correction factor E rk : Energy carbon emissions in the target area; E na : The average value of national energy carbon emissions; M: Total number of energy types.

5. The method for allocating carbon quotas for the steel industry according to claim 4, characterized in that: Calculate the target enterprise's carbon quota for the next quarter using the following formula: Q nq : Carbon quota for the next quarter; α: emission difference adjustment coefficient; β: regional utilization adjustment coefficient; γ: Energy structure correction adjustment coefficient; Decay function.

6. The method for allocating carbon quotas for the steel industry according to claim 1, characterized in that: The calculation formula of the life cycle weighting factor is: Chaos sequence: x n+1 =3.9x n (1-x n ), x0=0.5 W i : Life cycle weighting factor of the i-th material; C ijs : Carbon emission of the i-th material in stage j and substage s; ω js : weight coefficient of stage j and sub-stage s; S j : The number of sub-stages of stage j (default S1=S2=S3=S4=3); x n : Chaotic disturbance term.

7. The method for allocating carbon quotas for the steel industry according to claim 1, characterized in that: The default values ​​for the weight coefficients are: ω1=0.3, ω2=0.4-0.1η, ω3=0.2, ω4=0.1+0.1η; ω j : Weight coefficient of life cycle stage j; η: Technological advancement correction factor.

8. A calibration device, characterized in that: The device is configured to calibrate the carbon dioxide sensor according to any one of claims 1 to 7, the calibration device comprising a mobile frame (1), a mounting seat (2), an adjustment mechanism (5), a test mechanism (6), a bottom plate (3), a top plate (7), a slider (8) and a slide rod (9); The mobile frame (1) is connected to the mounting seat (2), the bottom plate (3) is mounted on the mounting seat (2), the bottom plate (3) is connected to the top plate (7) via a sliding rod (9), the sliding block (8) is slidably connected to the sliding rod (9), the adjusting mechanism (5) is used to drive the sliding block (8) to move, and the testing mechanism (6) is used to calibrate the carbon dioxide sensor; The testing mechanism (6) comprises an isolation cover (601), a rubber ring (602), an air intake pipe (603), a tank body (604), a connecting rod (605), a valve (606), a bump (608), a sliding sleeve (609), a sliding rail (610) and a housing (607); The isolation cover (601) is connected to the protrusion (608) through the connecting rod (605), the protrusion (608) passes through the shell (607) and is connected to the sliding sleeve (609), the sliding sleeve (609) is slidably connected to the slide rail (610), the slide rail (610) is connected to the shell (607), the isolation cover (601) is connected to the rubber ring (602), the isolation cover (601) is connected to the air inlet pipe (603), the air inlet pipe (603) is connected to the valve (606), and the valve (606) is connected to the tank body (604); The adjusting mechanism (5) comprises a motor (501) and a screw (502); The motor (501) is connected to the moving frame (1), the output end of the motor (501) is connected to the screw rod (502), and the screw rod (502) is threadedly connected to the slider (8).

9. A verification method, characterized in that: The implementation of the method relies on the verification device described in claim 8, and comprises the following steps: The mobile calibration device pushes the mobile frame (1) to the vicinity of the carbon dioxide sensor in the factory; The height of the test mechanism (6) is adjusted by starting the motor (501), the motor (501) drives the screw rod (502) to rotate, the screw rod (502) drives the slider (8) to move when rotating, and the slider (8) drives the test mechanism (6) to adjust its height; Adjust the test position, pull the isolation cover (601), and the isolation cover (601) drives the isolation cover (601) to cover the carbon dioxide sensor; The test is started by opening valve (606), and the standard concentration of carbon dioxide in the tank (604) enters the air inlet pipe (603), and enters the isolation cover (601) through the air inlet pipe (603). The carbon dioxide sensor located in the isolation cover (601) monitors and calibrates the standard concentration of carbon dioxide.

10. A carbon quota allocation system for the steel industry, characterized in that: include: A production content acquisition module is configured to acquire production content of a target enterprise, wherein the production content includes types of production materials and output of different types of production materials of the target enterprise within a quarter; A database storage module is configured to store baseline emission factors for different types of production materials and store life cycle weighting factors set in combination with life cycle stages of different materials; A selection module, connected to the database storage module, configured to obtain a baseline emission factor and a corresponding life cycle weighting factor of a corresponding production material type in the database storage module; A hypothetical quota calculation module is connected to the selection module and the production content acquisition module, and is configured to receive the production content from the production content acquisition module, and receive the baseline emission factor and the corresponding life cycle weighting factor of the corresponding production material type from the selection module, and calculate the hypothetical quota of the target enterprise; An allocation module, connected to the hypothetical quota calculation module, is configured to obtain the hypothetical quota of the target enterprise calculated by the hypothetical quota calculation module, and pre-allocate the carbon quota of the target enterprise in the next quarter; An actual quota acquisition module is configured to acquire an actual quota of a target enterprise; Emission difference calculation module: connected with the actual quota acquisition module and the assumed quota calculation module, and configured to calculate the emission difference of the target enterprise within a quarter, where the emission difference is the difference between the actual quota of the target enterprise and the assumed quota; The quota adjustment module is connected with the allocation module and the emission difference calculation module, and is configured to reallocate the carbon quota of the target enterprise in the next quarter according to the emission difference.

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