A multi-dimensional accounting method for feedstock crop carbon emission allocation factor

Abstract

The application discloses a kind of feed raw material crop carbon emission allocation factor multidimensional accounting method, belong to carbon emission technical field.The method includes: obtaining the feed crop data of the feed raw material crop to be accounted, and determine target feed product to account the carbon emission initial allocation factor of corresponding quality, energy, protein and economic value dimension of the target feed product;Combining target feed product is simultaneously used as the feeding object of livestock feed to determine multidimensional adjustment factor, and multidimensional adjustment factor needs to satisfy factor numerical constraint rule;The carbon emission initial allocation factor of corresponding dimension is multiplied with adjustment factor to obtain each dimension carbon emission sub-allocation factor, and the carbon emission allocation factor of target feed product is obtained by summing up accordingly.The application calculates the multidimensional characteristics of feed raw material crop, improves the accuracy of carbon emission allocation factor accounting, unifies the accounting algorithm, is convenient to operate, provides accurate data support for livestock carbon footprint assessment and carbon certification.

Description

Technical Field

[0001] This invention relates to the field of carbon emission technology, specifically to a multi-dimensional accounting method for carbon emission allocation factors of feed raw material crops. Background Technology

[0002] Carbon emission accounting is a crucial prerequisite for identifying key carbon emission sources, developing targeted emission reduction measures, assessing product carbon footprints, and conducting product carbon labeling certification. It plays a key role in promoting carbon reduction and efficiency improvement across various industries. Livestock carbon emissions involve multiple stages, including feed crop cultivation, livestock feeding, and manure treatment. Feed crop carbon emissions account for more than half of the total carbon emissions from livestock, indicating a high degree of correlation between the two. Feed crops and grain crops are often different uses of the same feed crop. Greenhouse gases produced by the growth of the same plant need to be rationally allocated among various crop outputs according to carbon emission allocation factors. Since crop outputs usable as feed are the core raw materials for livestock feed, accurate calculation of their carbon emission allocation factors is a critical step in livestock carbon emission accounting.

[0003] Current methods for calculating carbon emission allocation factors for feed crop ingredients often rely on single factors such as energy and quality, or directly extend the calculation boundary without allocation. These methods fail to comprehensively consider the differences in the characteristics of available crop outputs, their intended use in animal husbandry, and their commercial attributes, leading to significant errors in carbon emission allocation factor calculations. Furthermore, the lack of a unified algorithm in the existing calculation process, due to significant differences in the breadth of information retrieval and the selection criteria used for information comparison by the accountants, makes it difficult to accurately and efficiently obtain the carbon emission allocation factors for target feed products. This further increases the difficulty of the calculation work and fails to meet the industry's need for accurate carbon emission accounting in animal husbandry. Summary of the Invention

[0004] The purpose of this invention is to provide a multi-dimensional accounting method for carbon emission allocation factors of feed raw material crops, so as to solve the problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention provides the following technical solution:

[0006] A multi-dimensional accounting method for carbon emission allocation factors of feed ingredient crops includes the following steps:

[0007] S1. Obtain feed crop data for the feed raw material crops to be calculated;

[0008] S2. Determine the target feed product of the feed ingredient crop to be accounted for, and calculate the multi-dimensional initial carbon emission allocation factor of the target feed product based on the feed crop data;

[0009] S3. Determine the target livestock feed for which the target feed product is used, and based on the feed species and feed crop data, determine the multi-dimensional adjustment factors of the target feed product.

[0010] S4. Calculate the carbon emission sub-item allocation factors for the target feed product based on the multi-dimensional initial carbon emission allocation factors and multi-dimensional adjustment factors;

[0011] S5. Summing up the carbon emission allocation factors for all dimensions yields the carbon emission allocation factor for the target feed product.

[0012] Preferably, the feed crop data includes the market price data, biomass, energy value, and protein content of various crop outputs belonging to the feed raw material crop to be accounted for over the past five years. The market price data over the past five years includes the average market price of the current year and the average market price of the four consecutive years preceding the current year. The crop outputs are the outputs of the feed raw material crop that have use value and economic value during the planting and growth cycle.

[0013] Preferably, the target feed product belongs to the crop's usable output, specifically the usable output portion of the feed ingredient crop that can be used directly or after processing as livestock feed during its planting and growth cycle; the multi-dimensional initial carbon emission allocation factor includes the initial allocation factor of mass carbon emission, the initial allocation factor of energy carbon emission, the initial allocation factor of protein carbon emission, and the initial allocation factor of economic value carbon emission, which are used to characterize the traits, aquaculture uses, and commercial attributes of the feed ingredient crop product.

[0014] Preferably, the calculation method for the multi-dimensional carbon emission initial allocation factor is as follows:

[0015] The initial allocation factor for mass carbon emissions is the ratio of the biomass of the target feed product to the total biomass of all available crop products of the feed ingredient crop to which the target feed product belongs.

[0016] The formula for calculating the initial allocation factor of mass carbon emissions is as follows:

[0017] ;

[0018] in, The initial allocation factor for the mass carbon emissions of the target feed product i is used. The biomass of product i for target feed use. The biomass of the nth crop category of the feed raw material crop to which the target feed product i belongs is denoted, and N is the total number of crop categories of the feed raw material crop to which the target feed product i belongs.

[0019] The initial allocation factor for energy carbon emissions is the ratio of the energy characteristic value of the target feed product to the sum of the energy characteristic values ​​of all available products of the feed raw material crop to which the target feed product belongs. The energy characteristic value is the product of the biomass and energy value of the target feed product.

[0020] The formula for calculating the initial allocation factor for energy carbon emissions is as follows:

[0021] ;

[0022] in, The initial allocation factor for energy and carbon emissions of target feed product i. Let i be the energy value of the target feed product. The energy value of the available output of the nth crop of the feed raw material crop to which the target feed product i belongs;

[0023] The initial allocation factor for protein carbon emissions is the ratio of the protein characteristic value of the target feed product to the sum of the protein characteristic values ​​of all available products of the feed ingredient crop to which the target feed product belongs. The protein characteristic value is the product of the biomass and protein content of the target feed product.

[0024] The formula for calculating the initial allocation factor of protein carbon emissions is as follows:

[0025] ;

[0026] in, The initial allocation factor for protein carbon emissions of target feed product i. The protein content of target feed product i. The protein content of the available output of the nth crop of the feed ingredient crop to which the target feed product i belongs;

[0027] The initial allocation factor for carbon emissions based on economic value is the ratio of the economic characteristic value of the target feed product to the sum of the economic characteristic values ​​of all available products of the feed raw material crop to which the target feed product belongs. The economic characteristic value is the product of the biomass of the target feed product and the average market price of the year.

[0028] The formula for calculating the initial allocation factor of the economic value carbon emissions is as follows:

[0029] ;

[0030] in, The initial allocation factor for carbon emissions of the target feed product i is determined by its economic value. The average market price of target feed product i in that year. The average market price in the current year for the protein content of the available output of the nth crop of the feed raw material crop to which the target feed product i belongs.

[0031] Preferably, the multidimensional adjustment factors include a quality adjustment factor, an energy adjustment factor, a protein adjustment factor, and an economic value adjustment factor that correspond one-to-one with the initial allocation factors of multidimensional carbon emissions, and are used to correct the initial allocation factors of multidimensional carbon emissions.

[0032] Preferably, the step of determining the multi-dimensional adjustment factor of the target feed product based on the feeding object and feed crop data includes: determining the supply function of the target feed product in livestock feed for the feeding object according to the nutritional requirements characteristics of the feeding object, wherein the feeding object includes livestock such as pigs, dairy cows, beef cattle, laying hens, broilers and sheep, and the nutritional requirements characteristics are the nutritional intake requirements of the feeding object during its growth and reproduction process; if the supply function is to provide energy, then the protein adjustment factor is set < energy adjustment factor; if the supply function is to provide protein, then the energy adjustment factor is set < protein adjustment factor, thereby matching the feeding use of the feed product in actual livestock feeding.

[0033] Preferably, the determination of the multi-dimensional adjustment factor of the target feed product based on the feeding object and feed crop data further includes: calculating the market price volatility of the target feed product in the past five years based on the market price data of the past five years in the feed crop data. When the market price volatility in the past five years is >20%, the economic value adjustment factor is calculated and determined by the high volatility correction accounting formula of the economic value adjustment factor, thereby weakening the excessive impact of abnormal market price fluctuations on the carbon emission allocation factor accounting.

[0034] The formula for calculating the market price volatility over the past five years is as follows:

[0035] ;

[0036] in, The market price volatility of target feed product i over the past five years. The highest annual average market price among the target feed products over the past five years. The lowest annual average market price among the target feed product's market price data over the past five years. The arithmetic mean of the annual average market price of the target feed product i over the past five years.

[0037] The formula for calculating the high volatility correction of the economic value adjustment factor is as follows:

[0038] ;

[0039] in, As an economic value adjustment factor, For quality adjustment factor, As an energy adjustment factor, It is a protein regulatory factor.

[0040] Preferably, the multi-dimensional adjustment factor also needs to simultaneously satisfy factor numerical constraint rules, which include the following constraint rules:

[0041] Constraint Rule 1: Sum of Multi-Dimensional Adjustment Factors >0 and ≤1, where ;

[0042] Constraint Rule 2: The sum of the energy adjustment factor, protein adjustment factor, and economic value adjustment factor must be less than the quality adjustment factor. ;

[0043] Constraint Rule 3: The absolute value of the difference between the energy regulator and the protein regulator is ≥0.1, i.e. ;

[0044] Constraint Rule 4: Economic value adjustment factor < energy adjustment factor and protein adjustment factor, i.e. and .

[0045] Preferably, the carbon emission sub-item allocation factor for each dimension is the product of the initial multi-dimensional carbon emission allocation factor and the multi-dimensional adjustment factor for the corresponding dimension. The calculation formula for the carbon emission sub-item allocation factor for each dimension is as follows:

[0046] ;

[0047] ;

[0048] ;

[0049] ;

[0050] in, The carbon emission component allocation factor for the target feed product i is determined by its mass. The energy and carbon emission component allocation factor for target feed product i. The protein carbon emission component allocation factor for target feed product i. The economic value carbon emission allocation factor for target feed product i.

[0051] Preferably, the carbon emission allocation factor of the target feed product is obtained by summing the carbon emission allocation factors of each dimension of the target feed product, and the calculation formula is as follows: ;

[0052] in, Target feed products Carbon emission allocation factors.

[0053] This invention addresses the problems of existing methods for calculating carbon emission allocation factors for feed ingredients, which suffer from single-dimensionality, lack of a unified algorithm, large errors, and low efficiency. It constructs a multi-dimensional calculation system encompassing quality, energy, protein, and economic value, and establishes a unified calculation algorithm and numerical constraint rules for multi-dimensional adjustment factors. Adjustment factors are determined based on the nutritional needs of the feed organisms, and economic value adjustment factors are dynamically adjusted according to market price fluctuations. This comprehensively considers the characteristics of usable crop outputs, their intended use in animal husbandry, and their commercial attributes, significantly improving the accuracy of carbon emission allocation factor calculation. Furthermore, it standardizes industry calculations, reduces the difficulty of the calculation process, and achieves accurate and efficient calculation of carbon emission allocation factors for target feed products, effectively meeting the industry demand for accurate carbon emission calculation in animal husbandry. Attached Figure Description

[0054] To more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0055] Figure 1 This is a flowchart of the method steps of the present invention. Detailed Implementation

[0056] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be described in detail below. Obviously, the described embodiments are merely some embodiments of this invention, and not all embodiments. Based on the embodiments of this invention, all other implementation methods obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0057] Examples, such as Figure 1 As shown, a multi-dimensional accounting method for carbon emission allocation factors of feed crop ingredients includes the following steps:

[0058] S1. Obtain feed crop data for the feed raw material crops to be calculated;

[0059] S2. Determine the target feed product of the feed ingredient crop to be accounted for, and calculate the multi-dimensional initial carbon emission allocation factor of the target feed product based on the feed crop data;

[0060] S3. Determine the target livestock feed for which the target feed product is used, and based on the feed species and feed crop data, determine the multi-dimensional adjustment factors of the target feed product.

[0061] S4. Calculate the carbon emission sub-item allocation factors for the target feed product based on the multi-dimensional initial carbon emission allocation factors and multi-dimensional adjustment factors;

[0062] S5. Summing up the carbon emission allocation factors for all dimensions yields the carbon emission allocation factor for the target feed product.

[0063] Furthermore, the working principle of the present invention will be illustrated below through embodiments:

[0064] This embodiment takes Zhengdan 958 maize, a summer maize variety grown in the Huang-Huai-Hai Plain, as an example. This maize variety is a mainstream feed maize variety in China, and all kinds of usable products produced by it have use and economic value, and can be used directly or after processing as livestock feed.

[0065] S1. Obtaining feed crop data for the feed ingredient crops to be calculated. This embodiment provides two compliant methods for obtaining feed crop data. The first method is database matching. A basic database of feed ingredient crops is pre-built. This database pre-collects official public data, field trial measurement data, and market transaction data of feed ingredient crops from major producing areas and mainstream varieties across the country. It covers the market price data, biomass, energy value, and protein content of the available outputs of various feed ingredient crops over the past five years. The data sources include, but are not limited to, industry data released by the National Agricultural Technology Extension Service Center, the National Grain and Oil Information Center, the China Feed Industry Association, and publicly published academic literature and field trial data. In this embodiment, the input of the crop variety to be calculated is Zhengdan 958 and the planting location is Dezhou City, Shandong Province. The corresponding basic data of feed crops can be automatically obtained through this database. The second method is to obtain the biomass, protein content, and energy value of the available outputs of each feed ingredient crop through experimental measurement. The price data for the past five years is collected from the annual agricultural product price monitoring data released by the local agricultural and rural affairs bureau. The basic data of feed crops used in this embodiment are detailed in Table 1 below, which shows the Zhengdan 958 corn feed crop data.

[0066] Table 1: Data on Zhengdan 958 Maize Forage Crop

[0067] Corn kernels 600 18.5 8.5 2.56 2.78、2.85、2.62、2.70、2.56 corn stalks 550 15.2 4.2 0.42 0.32、0.38、0.45、0.52、0.42 corn cob 80 14.8 2.8 0.68 0.55、0.62、0.78、0.72、0.68

[0068] The target feed products of the feed crop to be accounted for are determined, and the multi-dimensional initial carbon emission allocation factors of the target feed products are calculated based on the obtained feed crop data. In this embodiment, corn kernels, corn stalks, and corn cobs are identified as the target feed products. All of the above target feed products are usable outputs of corn and can be used directly or after processing as livestock feed. The multi-dimensional initial carbon emission allocation factors include mass carbon emission initial allocation factors, energy carbon emission initial allocation factors, protein carbon emission initial allocation factors, and economic value carbon emission initial allocation factors. The calculation of the multi-dimensional initial carbon emission allocation factors is completed based on the feed crop data in Table 1. The calculation results are detailed in Table 2 below, which shows the calculation results of the multi-dimensional initial carbon emission allocation factors of each target feed product.

[0069] Table 2: Calculation Results of Initial Allocation Factors for Multidimensional Carbon Emissions of Each Target Feed Product

[0070] Corn kernels 0.4878 0.5377 0.6681 0.8433 corn stalks 0.4472 0.405 0.3026 0.1268 corn cob 0.065 0.0573 0.0293 0.0299

[0071] The target feed products are identified as intended for livestock feed. Based on this, multi-dimensional adjustment factors for the target feed products are determined using data on the feed products and feed crops. These multi-dimensional adjustment factors include quality adjustment factors, energy adjustment factors, protein adjustment factors, and economic value adjustment factors, each corresponding to an initial multi-dimensional carbon emission allocation factor. In this embodiment, corn kernels are fed to pigs, and their function in feed is to provide energy. Corn stalks and corn cobs are fed to beef cattle and sheep, and their function in feed is to provide roughage energy. Therefore, the protein adjustment factor for all target feed products is set to be less than the energy adjustment factor to match the functional positioning of the feed products in actual livestock feeding. Simultaneously, market price data from the past five years in Table 1 are used as a basis. The market price volatility of each target feed product over the past five years was calculated. The market price volatility of corn kernels was 10.7%, which did not exceed 20%, so the economic value adjustment factor did not need to be calculated using the high volatility correction method. The market price volatility of corn stalks and corn cobs were 47.8% and 34.3%, respectively, both exceeding 20%, so the economic value adjustment factor needed to be calculated using the high volatility correction formula disclosed in this invention. Finally, the multi-dimensional adjustment factors for each target feed product were set by combining the core supply function and market price volatility results. All multi-dimensional adjustment factors were verified by the factor numerical constraint rules disclosed in this invention and fully met the requirements of the factor numerical constraint rules. See Table 3 below for details of the multi-dimensional adjustment factors for each target feed product.

[0072] Table 3: Details of Multidimensional Adjustment Factors for Each Target Feed Product

[0073] Corn kernels 0.5 0.25 0.1 0.08 corn stalks 0.5 0.22 0.1 0.0324 corn cob 0.5 0.22 0.1 0.0324

[0074] Based on the initial allocation factor and adjustment factor of multidimensional carbon emissions, the carbon emission sub-item allocation factor of each dimension of the target feed products is calculated. The carbon emission sub-item allocation factor of each dimension is the product of the initial allocation factor of the corresponding dimension and the adjustment factor of the corresponding dimension. Based on the calculation results of the initial allocation factor in Table 2 and the determined multidimensional adjustment factor, the calculation of the carbon emission sub-item allocation factor of each dimension of the three types of target feed products is completed. The calculation results are detailed in Table 4, the calculation result table of carbon emission sub-item allocation factor of each target feed product.

[0075] Table 4: Calculation Results of Carbon Emission Allocation Factors for Each Target Feed Product

[0076] Corn kernels 0.2439 0.1344 0.0668 0.0675 corn stalks 0.2236 0.0891 0.0303 0.0041 corn cob 0.0325 0.0126 0.0029 0.001

[0077] The carbon emission allocation factors for all dimensions were summed to obtain the carbon emission allocation factors for the target feed product. Based on the calculation results of the allocation factors in Table 3, the carbon emission allocation factors for corn kernels were finally calculated to be 0.5126, for corn stalks to be 0.3471, and for corn cobs to be 0.0490. The calculation results of this embodiment show that corn kernels, as the core energy feed for pig farming, bear 51.26% of the carbon emissions of the corn plant, and corn stalks, as the main roughage for beef cattle and sheep farming, bear 34.71% of the carbon emissions. The calculation results are completely consistent with the actual use value and feeding function of the feed product, fully verifying the reliability and practicality of the calculation method of this invention.

[0078] The above-described embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included within the protection scope of the present invention.

Claims

1. A multi-dimensional accounting method for carbon emission allocation factors of feed crop ingredients, characterized in that, Includes the following steps: S1. Obtain feed crop data for the feed ingredient crops to be accounted for, wherein the feed crop data includes the market price data, biomass, energy value and protein content of various crop outputs belonging to the feed ingredient crops to be accounted for over the past five years; S2. Determine the target feed product of the feed ingredient crop to be accounted for, and calculate the multi-dimensional initial carbon emission allocation factor of the target feed product based on the feed crop data. The multi-dimensional initial carbon emission allocation factor includes the initial allocation factor of mass carbon emission, the initial allocation factor of energy carbon emission, the initial allocation factor of protein carbon emission, and the initial allocation factor of economic value carbon emission. Wherein, the initial allocation factor for mass carbon emissions is the ratio of the biomass of the target feed product to the total biomass of all available products from the feed ingredient crops to which the target feed product belongs; the initial allocation factor for energy carbon emissions is the ratio of the energy characteristic value of the target feed product to the total energy characteristic values ​​of all available products from the feed ingredient crops to which the target feed product belongs, wherein the energy characteristic value is the product of the biomass of the target feed product and its energy value; the initial allocation factor for protein carbon emissions is the ratio of the protein characteristic value of the target feed product to the total protein characteristic values ​​of all available products from the feed ingredient crops to which the target feed product belongs, wherein the protein characteristic value is the product of the biomass of the target feed product and its protein content; and the initial allocation factor for economic value carbon emissions is the ratio of the economic characteristic value of the target feed product to the total economic characteristic values ​​of all available products from the feed ingredient crops to which the target feed product belongs, wherein the economic characteristic value is the product of the biomass of the target feed product and the average market price of the year. S3. Determine the target livestock feed subject to which the target feed product is used. Based on the nutritional requirements of the target livestock feed subject, determine the supply function of the target feed product in the livestock feed subject. If the supply function is to provide energy, then set the protein adjustment factor to be less than the energy adjustment factor; if the supply function is to provide protein, then set the energy adjustment factor to be less than the protein adjustment factor. Simultaneously, calculate the market price volatility of the target feed product over the past five years based on the market price data of feed crops over the past five years. If the market price volatility over the past five years is greater than 20%, then apply a high volatility correction to the economic value adjustment factor. Based on this, determine the multi-dimensional adjustment factors of the target feed product. The multi-dimensional adjustment factors include quality adjustment factors, energy adjustment factors, protein adjustment factors, and economic value adjustment factors that correspond one-to-one with the initial allocation factors of multi-dimensional carbon emissions. S4. Calculate the carbon emission sub-item allocation factors for the target feed product based on the multi-dimensional initial carbon emission allocation factors and multi-dimensional adjustment factors; S5. Summing up the carbon emission allocation factors for all dimensions yields the carbon emission allocation factor for the target feed product.

2. The method for multi-dimensional accounting of carbon emission allocation factors of feed raw material crops according to claim 1, characterized in that, The target feed product is a crop-available product.

3. The method for multi-dimensional accounting of carbon emission allocation factors of feed raw material crops according to claim 1, characterized in that, The multi-dimensional adjustment factor must also simultaneously satisfy factor numerical constraint rules, which include the following constraints: Constraint Rule 1: Sum of Multi-Dimensional Adjustment Factors >0 and ≤1; Constraint Rule 2: The sum of the energy adjustment factor, protein adjustment factor, and economic value adjustment factor is less than the quality adjustment factor; Constraint Rule 3: The absolute value of the difference between the energy regulator and the protein regulator is ≥0.1; Constraint Rule 4: Economic value adjustment factor < energy adjustment factor and protein adjustment factor.

4. The method for multi-dimensional accounting of carbon emission allocation factors of feed raw material crops according to claim 1, characterized in that, The carbon emission sub-item allocation factor for each dimension is the product of the initial multidimensional carbon emission allocation factor and the multidimensional adjustment factor for the corresponding dimension.

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