GHG emission calculation device and GHG emission calculation method

Abstract

Provided are: a GHG emission calculation device that can calculate GHG emissions by product under various conditions and easily evaluate the GHG reduction efforts of a company; and a method that involves the GHG emission calculation device.　A GHG emission calculation device according to the present invention has an emission calculation unit that calculates the GHG emissions of products. The emission calculation unit multiplies average values for GHG emission base units for the products and activity amounts for the products to calculate first GHG emission amounts that are average values for the GHG emissions of the products, divides a GHG emission amount for a company unit that is relevant to the products by the total of the first GHG emission amounts calculated for the products to calculate a correction coefficient, and multiplies the first GHG emission amount for each product by the correction coefficient to calculate a second GHG emission amount for each product.

Description

GHG emission calculation device and GHG emission calculation method

[0001] The present invention relates to a GHG emission calculation device that calculates carbon dioxide emissions per product using carbon dioxide emissions per company.

[0002] Carbon neutral initiatives, which aim to achieve a balance between greenhouse gas (GHG) emissions and their removal by carbon sinks, are gaining momentum worldwide. In order to reduce GHG emissions toward decarbonization, a system for calculating GHG emissions is important.

[0003] The calculation of GHG emissions can be roughly divided into two categories: calculation of GHG emissions per company, which indicates the GHG emissions related to all products delivered by a company, and calculation of GHG emissions by product (per product), which indicates the emissions for each product delivered by a company.

[0004] While GHG emissions per company can visualize the GHG reduction efforts of an organization or company as a whole, it is difficult to narrow down the targets for implementing GHG reduction efforts.

[0005] On the other hand, calculating GHG emissions by product makes it possible to identify products with high GHG emissions, making it easier for companies to implement measures such as applying green materials to reduce GHG emissions.

[0006] The general method for calculating GHG emissions by product is to multiply the GHG emission intensity of each part or material that makes up the product by the activity amount. However, depending on the product, the number of parts and materials can be enormous, making it difficult to link them to the GHG emission intensity when calculating, and therefore only a limited number of companies are able to calculate GHG emissions by product.

[0007] A conventional invention for calculating GHG emissions is a CO2 emission calculation device described in Patent Document 1 (JP 2015-56111 A). The CO2 emission calculation device includes an emission coefficient database 31 that stores a CO2 emission coefficient for each first component, and an emission coefficient database 32 that stores a unit quantity and a CO2 emission coefficient for each second component. A first component CO2 amount calculation unit 34 calculates the CO2 emission amount of each first component constituting a designed building based on the quantity of the first component and the CO2 emission coefficient corresponding to the first component stored in the emission coefficient database 31. A second component CO2 amount calculation unit 38 calculates the CO2 emission amount of each second component constituting a designed building based on the number of building units constituting the designed building and the unit quantity and CO2 emission coefficient corresponding to the second component stored in the emission coefficient database 32.

[0008] JP 2015-56111 A

[0009] The method of Patent Document 1 selects a first component, which directly calculates GHG emissions by multiplying the emission amount by the basic unit, and a second component, which is estimated as a unit part, and adds up the GHG emissions, thereby making it possible to calculate GHG emissions by product relatively easily while saving the effort of calculation.

[0010] However, the method of adding up the components and materials that make up a product remains unchanged, which is time-consuming and does not mention a method for easily evaluating a company's efforts to reduce GHG emissions.

[0011] Therefore, the present invention provides a GHG emission calculation device and method that can calculate GHG emission amounts by product under various conditions and easily evaluate a company's GHG reduction efforts.

[0012] In order to solve the above problems, the present invention provides a GHG emission calculation device having an emission calculation unit that calculates the GHG emission amount of a product, wherein the emission calculation unit calculates a first GHG emission amount, which is the average GHG emission amount of the product, by multiplying the average GHG emission unit value of the product by the activity amount of the product, calculates a correction coefficient by dividing the GHG emission amount per company related to the product by the sum of the first GHG emission amounts calculated for each product, and calculates the second GHG emission amount for each product by multiplying each of the first GHG emission amounts for each product by the correction coefficient.

[0013] According to the present invention, it is possible to appropriately calculate and visualize GHG emissions by product depending on the status of data provision on GHG emissions from suppliers, and further, it is possible to easily evaluate suppliers' efforts to reduce GHG emissions.

[0014] Problems, configurations, and effects other than those described above will become apparent from the following description of the preferred embodiments of the invention.

[0015] 1 is an example of the configuration of a GHG emission calculation device in this embodiment. An example of a supplier name and product name database (DB) in this embodiment. An example of a product purchase amount DB in this embodiment. An example of a product purchase weight DB in this embodiment. An example of a company-unit GHG emission DB in this embodiment. An example of a product-unit GHG emission intensity DB in this embodiment. An example of a first management code DB in this embodiment. An example of a product BOM-DB in this embodiment. An example of an emission intensity storage unit in this embodiment. An example of a second management code DB in this embodiment. An example of various numerical values ​​extracted from various databases in this embodiment. An example of various numerical values ​​extracted from various databases in this embodiment. A calculation formula for GHG emission by product in this embodiment. A table of characteristics of various calculation patterns and required data in this embodiment. A processing flowchart of a GHG emission calculation device in this embodiment. An example of a screen showing calculation results in this embodiment. Another example of a calculation formula for GHG emission by product in this embodiment.

[0016] Hereinafter, an embodiment of the GHG emission calculation device of the present invention will be described with reference to the drawings. The embodiment is an example for explaining the present invention, and for clarity of explanation, appropriate omissions and simplifications have been made. The present invention can be implemented in various other forms. Unless otherwise specified, each component may be singular or plural.

[0017] In order to facilitate understanding of the invention, the position, size, shape, range, etc. of each component shown in the drawings may not represent the actual position, size, shape, range, etc. Therefore, the present invention is not necessarily limited to the position, size, shape, range, etc. disclosed in the drawings.

[0018] Although various types of information may be described using expressions such as "table" and "list" as examples, the various types of information may also be expressed using data structures other than these. For example, various types of information such as "XX table" and "XX list" may also be expressed as "XX information." When describing identification information, expressions such as "identification information," "identifier," "name," "ID," and "number" are used, but these are interchangeable.

[0019] When there are multiple components with the same or similar functions, they may be described using the same reference numeral with different subscripts. When there is no need to distinguish between these multiple components, the subscripts may be omitted.

[0020] In the embodiments, processing performed by executing a program may be described. Here, a computer executes the program using a processor (e.g., a CPU or a GPU) and performs processing defined by the program using storage resources (e.g., memory) and interface devices (e.g., communication ports). Therefore, the entity performing the processing by executing the program may be the processor. Similarly, the entity performing the processing by executing the program may be a controller, device, system, computer, or node having a processor. The entity performing the processing by executing the program may be any computing unit, and may include a dedicated circuit that performs specific processing. Here, the dedicated circuit may be, for example, an FPGA (Field Programmable Gate Array), an ASIC (Application Specific Integrated Circuit), a CPLD (Complex Programmable Logic Device), or the like.

[0021] A program may be installed on a computer from a program source. The program source may be, for example, a program distribution server or a computer-readable storage medium. When the program source is a program distribution server, the program distribution server may include a processor and storage resources for storing the program to be distributed, and the processor of the program distribution server may distribute the program to be distributed to other computers. In addition, in the embodiments, two or more programs may be realized as one program, or one program may be realized as two or more programs.

[0022] A GHG emission amount calculation support system according to a first embodiment of the present invention will be described with reference to FIGS. 1 to 6. FIG.

[0023] <Configuration of GHG Emission Amount Calculation Device> First, components of a GHG emission amount calculation device 100 according to this embodiment will be described with reference to FIG.

[0024] The GHG emission calculation device 100 of this embodiment is configured by a computer device, and includes a supplier information management unit 110, an emission calculation unit 120, a product information management unit 130, a calculation result display unit 140, and an input unit 150. The storage devices of the supplier information management unit 110, the product information management unit 130, and the emission calculation unit 120 (described later) may be realized by dividing the storage area of ​​the same storage device, or may be realized by an external storage device connected by a communication line (not shown).

[0025] The supplier information management unit 110 is composed of a storage device and is a database that includes a supplier name and product name database (DB) 111, a product purchase amount DB 112, a product purchase weight DB 113, a company-unit GHG emission amount DB 114, a product-unit GHG emission intensity DB, and a first management code DB 116.

[0026] The supplier name and product name DB111 stores supplier information for the company that is the entity that calculates GHG emissions corresponding to Scope 3 of the international standard "GHG Protocol." For example, as shown in FIG. 2A , the DB stores the names of suppliers from which the company purchases parts and the names of the parts.

[0027] The product purchase amount DB 112 stores, for example, purchase amounts by year for the supplier name and product name DB 111, as shown in FIG. 2B.

[0028] The product purchase weight DB 113 stores the purchase weight of the purchased product for each supplier name and product name DB 111, as shown in FIG. 2C, for example.

[0029] The product purchase price and product purchase weight stored in these DBs correspond to the activity amount for calculating GHG emissions, and the company can obtain this data when making a purchase transaction with the supplier. Furthermore, if activity amounts other than purchase price and weight, such as "sheets" or "pieces," are required for management purposes, the information may be added to the supplier information management unit 110 as appropriate.

[0030] As shown in Figure 2D, for example, the company-level GHG emissions DB 114 stores the GHG emissions equivalent to Scope 3 for each supplier, and the company can receive information from each supplier. In the case of Figure 2D, however, "-" indicates that no information was provided by "Company □."

[0031] 2E, the product-based GHG emission intensity DB 115 stores the GHG emission intensity equivalent to Scope 3 for each product (part) handled by each supplier, and the company can receive information from each supplier, but in the case of Figure 2E, "-" indicates that no information was provided by "Company X" and "Company □." Furthermore, if it is possible to receive the emission amount per product from each supplier instead of the emission intensity, that value may be stored.

[0032] The first management code DB 116 stores, as shown in FIG. 2F, names (purchased item names) and their management codes (purchased item codes) for managing products (parts) purchased from suppliers within the company.

[0033] The product information management unit 130 is configured by a storage device, and is a database including a product BOM (Bill of Material)-DB 131 , a discharge amount basic unit storage unit 132 , and a management code DB 133 .

[0034] Product BOM-DB 131 contains data in which units or parts that make up a product are linked together, as shown in FIG. 2G, and it is possible to extract the units or parts that make up a product.

[0035] The emission intensity storage unit 132 is a database that stores average intensity values ​​obtained from a database that lists representative (average) values ​​of GHG emission intensity values ​​for various products of each company, such as an input-output table or IDEA, as shown in FIG. 2H , and in this example, also records the name and management code of the intensity value.

[0036] In second management code DB 133, for example, as shown in FIG. 2I, the part names on product BOM-DB 131 and the part codes are recorded in association with each other.

[0037] The emission calculation unit 120, which will be described later, extracts necessary data from each of the above DBs and performs various calculations.

[0038] For example, FIG. 3 shows an example (table) of data and codes extracted from the first management code DB 116, the emission intensity memory unit 132, and the second management code DB 133, in which a part code 303 corresponding to a part name 304 in the product BOM-DB 131, a purchased item name 302 of that part at the company and a corresponding purchased item code 301, and furthermore, an intensity name 306 of the average emission intensity in the corresponding input-output table, IDEA, etc. and its intensity code 305 are linked to a GHG emission intensity 307.

[0039] FIG. 4 is an example (table) of data extracted from supplier names 401, company-level emissions 402 (values ​​reported by suppliers), part names 403, purchase prices 404, and emissions per unit (average values ​​405 and values ​​reported by suppliers 406).

[0040] When calculating the emissions described below, the contents of these tables may be temporarily stored in a predetermined storage area (not shown) in the storage section of the emissions calculation section 120, and the values ​​required for the calculation may be referenced.

[0041] The emission calculation unit 120 is composed of a memory unit (not shown) and a central processing unit (CPU) (not shown), and includes a product-specific GHG emission calculation unit 121 using an average basic unit, a supplier coefficient calculation unit 122, a product-specific GHG emission calculation unit 123 using a supplier coefficient, a product-specific GHG emission calculation unit 124 using a supplier-provided basic unit, and a calculation result memory unit 125.

[0042] The emission calculation unit 120 functions as each calculation unit by the CPU executing a program corresponding to each of the calculation units described above, which is stored in the storage unit. Each calculation unit of the emission calculation unit 120 may be realized by dedicated hardware (circuit, processor, etc.).

[0043] The calculation result display unit 140 is, for example, a monitor device, and displays various calculation results, operation menus, etc. in this embodiment on a display. The input unit 150 is, for example, a keyboard, a mouse, etc., and receives operation instructions from the user.

[0044] <Method for calculating GHG emissions by product> The emission calculation unit 120 performs calculations for three patterns (pattern 1 to pattern 3) shown in Fig. 5A. (1) Pattern 1 calculates GHG emissions by product by multiplying the activity amount by the emission intensity (average value), which is the average value for each company for various products, as published in, for example, an input-output table or IDEA, and is mainly processed by the product-specific GHG emission calculation unit 121 that uses the average intensity. The calculation formula for pattern 1 is as follows: (GHG emission amount by product in pattern 1)=(emission amount per unit (average value))×(activity amount) (Equation 1) For example, when calculating the GHG emission amount of "Part AAA" of "X company" using the data shown in FIG. 4, the GHG emission amount of supplier name 401: "X company" and part name 403: "Part AAA" can be calculated as "31.86" by multiplying emission amount per unit (average value) 405: "6.41" by purchase amount 404 as the activity amount: "4.97".

[0045] (2) Pattern 2 is a calculation method characteristic of this embodiment, in which a supplier-specific correction coefficient (in this embodiment, this correction coefficient is referred to as a supplier coefficient) is derived by dividing the company-wide GHG emissions 114 provided by the supplier by the total amount of GHG emissions by each product calculated by multiplying the emission intensity (average value) and the activity amount, and the GHG emissions by product are calculated by correcting the numerical value obtained by multiplying the emission intensity (average value) and the activity amount with the supplier coefficient, as in pattern 1. Pattern 2 is mainly processed by the supplier coefficient calculation unit 122 and the product-specific GHG emissions calculation unit 123 using the supplier coefficient.

[0046] The calculation formulas for Pattern 2 are as follows: (GHG emissions by product for Pattern 2) = (emissions intensity (average value)) x (activity amount) x (supplier coefficient) ... (Formula 2) (supplier coefficient) = (company-unit emissions) / Σ ((emissions intensity (average value)) x (activity amount)) ... (Formula 3) For example, when calculating GHG emissions by product for "Company △" using the data shown in Fig. 4, first the supplier coefficient is calculated using Formula 3. The calculation of the denominator in Equation 3 is the sum of ((emissions per unit of production (average value)) x (activity amount)) for each part, just like in Pattern 1, so: Part "Part AAC": 9.29 x 10.20 = 94.76... (A) Part "Part ABC": 9.29 x 6.53 = 60.66... ​​(B) Part "Part ACC": 8.95 x 6.70 = 59.97... (C) The sum of these ((A) + (B) + (C)) is 215.39. And, as the company unit emissions in the numerator is "206.7", by dividing this by "215.39", the supplier coefficient calculated is "0.96".

[0047] Next, GHG emissions by product are calculated using formula 2. In calculating the supplier coefficients described above, ((emissions intensity (average value)) x (activity amount)) for each part has already been calculated ((A) to (C)), so the calculations can be made as follows: Part "Part AAC": (A) x (supplier coefficient) = 90.97 Part "Part ABC": (B) x (supplier coefficient) = 58.23 Part "Part ACC": (C) x (supplier coefficient) = 57.57

[0048] Furthermore, by calculating the supplier coefficient, it is possible to easily evaluate the status of a company's (supplier's) efforts to reduce GHG emissions. That is, if the supplier coefficient is less than 1, it indicates that the supplier's GHG emissions are low compared to the company average, and it can be evaluated that the supplier is likely making a certain amount of effort to reduce GHG emissions.

[0049] On the other hand, if the supplier coefficient is greater than 1, it indicates that the supplier's GHG emissions are high compared to the average for all companies, and that efforts to reduce GHG emissions may be insufficient. This can also help with policy decisions, such as proposing further reductions in GHG emissions to the supplier.

[0050] (3) Pattern 3 is a method for calculating GHG emissions by product when a supplier-specific GHG emission intensity unit exists (when provided by the supplier), by multiplying the intensity unit by the activity amount, and is mainly processed by the product-specific GHG emission calculation unit 124 using the supplier-provided intensity unit. The calculation formula for Pattern 3 is as follows: (GHG emissions by product for Pattern 3) = (emissions intensity unit (supplier-specific value)) × (activity amount) (Equation 4) For example, when calculating the GHG emissions of "Part ACC" of "Company △" using the data shown in FIG. 4, the GHG emissions of the part name 403 of "Company △" with supplier name 401: "Part ACC" can be calculated as "34.44" by multiplying the emission intensity unit (supplier-specific value) 406: "5.14" by the purchase amount 404 as the activity amount: "6.70".

[0051] FIG. 5B shows the differences in the data used in the calculations for patterns 1 to 3, and the characteristics of the results calculated for each pattern.

[0052] Pattern 1 uses data that can be obtained from input-output tables, IDEA, etc., and thus allows calculation without receiving special data from suppliers, but the calculation accuracy may not always be good.

[0053] Pattern 2 is expected to provide better calculation accuracy than Pattern 1 if company-level emissions are relatively easily available from suppliers, and furthermore, by calculating the supplier coefficient, it is possible to easily estimate the supplier's energy conservation efforts.

[0054] Pattern 3 is expected to produce the most accurate results because it uses specific product-specific emissions intensity data provided by suppliers. However, there are many cases where suppliers are unable to provide specific product-specific emissions intensity data because they have not calculated it themselves, so the situations in which it can be applied are more limited than in Pattern 2.

[0055] <Processing Flow of GHG Emission Amount Calculation Device> Hereinafter, the processing flow of the GHG emission amount calculation device in this embodiment will be described with reference to the flowchart of FIG.

[0056] In step S1, the component configuration of the product is acquired. The component information is acquired from the BOM shown in FIG. 2F.

[0057] In step S2, related supplier information is acquired, which includes the supplier name, company-unit emissions, part name, and purchase price shown in FIG.

[0058] In step S3, the parts list is sorted by company, and in step S4, the emission intensity (average value) of the relevant parts is set.

[0059] Through the above steps S1 to S4, the supplier name 401, part name 403, purchase price 404, and emission amount basic unit (average value) 405 in FIG. 4 are set in a predetermined area of ​​the storage unit of the emission amount calculation unit 120.

[0060] In step S5, the GHG emissions by product are calculated by multiplying the purchase price 404 corresponding to the activity amount by the emission intensity (average value) 405, and the result is stored in the calculation result storage unit 125 as the calculation result according to pattern 1 (step S6).

[0061] In step S7, it is confirmed whether or not company-level GHG emissions exist (whether or not they have been provided by the supplier) from the acquired supplier information. If company-level GHG emissions do not exist ("No" in step S7), it is further confirmed in step S8 whether or not a supplier-specific GHG emissions intensity by product exists. If not ("No" in step S8), calculations using patterns 2 and 3 cannot be performed, so the process proceeds to step S17 and only the calculation results using pattern 1 are displayed.

[0062] If a supplier-specific GHG emission intensity by product exists in step S8 ("Yes" in step S8), the purchase amount 404 corresponding to the activity amount is multiplied by the supplier-specific GHG emission intensity by product to calculate the GHG emission by product (step S9), and the result is stored in the calculation result storage unit 125 as the calculation result by pattern 3 (step S10). In this case, since the calculation results by pattern 1 and the calculation results by pattern 3 have been obtained, the process proceeds to step S17 and both of them can be displayed.

[0063] Returning to step S7, if there is a company-level GHG emission amount ("Yes" in step S7), the supplier coefficient is calculated using the above-mentioned (Equation 3) (step S11).

[0064] Next, in step S12, it is confirmed whether or not a supplier-specific GHG emission intensity by product exists, and if not ("No" in step S12), each value of the GHG emission by product calculated in step S5 is multiplied by the supplier coefficient calculated in step S11 to calculate the GHG emission amount for each product (step S13), and the result is stored in the calculation result storage unit 125 together with the supplier coefficient calculated in step S11 as the calculation result by pattern 2 (step S14). In this case, since the calculation results by pattern 1 and the calculation results by pattern 2 have been obtained, the process proceeds to step S17, where both of them and the supplier coefficient can be displayed.

[0065] Returning to step S12, if a supplier-specific GHG emission intensity by product exists ("Yes" in step S12), in steps S9 and S10, the purchase price 404 corresponding to the activity amount is multiplied by the supplier-specific GHG emission intensity by product to calculate the GHG emission by product (step S15), and the result is stored in the calculation result storage unit 125 as the calculation result by pattern 3 (step S16). Next, the process proceeds to steps S13 and S14, where a calculation by pattern 2 is performed in the same manner as described above, and the result is stored in the calculation result storage unit 125. In this case, since calculation results by all patterns, pattern 1 to pattern 3, have been obtained, the process proceeds to step S17, where all of the calculation results can be displayed. However, if the display of the calculation result by pattern 2 is not necessary, the processes of steps S13 and S14 may be omitted after step S16.

[0066] Furthermore, if the supplier coefficients can be calculated in step S11, the supplier coefficients can be simultaneously displayed in the result display process in step S17, thereby making it possible to visualize the supplier's energy conservation efforts as a basis for inferring their progress.

[0067] <Display of GHG Emission Calculation Results> Fig. 7 shows an example of a screen display of the results of calculating GHG emissions by product. Fig. 7 shows, for each supplier that was the subject of the calculation, supplier name 701, product name 702, part name 703, and company-level emissions 704 extracted from supplier information management unit 110, as well as supplier coefficient 705 and calculation results 706 for pattern 1, pattern 2, and pattern 3 from calculation result storage unit 125.

[0068] Since calculations using pattern 1 are possible regardless of whether or not data on emissions is provided by suppliers, calculation results 706A are shown for all companies.

[0069] On the other hand, for Company X and Company △, the company-level emissions have been provided to the relevant companies and stored in the supplier information management unit 110, so both figures are shown in the company-level emissions column 704, and furthermore, since it was possible to calculate CO2 emissions by product using the supplier coefficient of pattern 2, the calculation result 706B is displayed in the supplier coefficient column 705 and the pattern 2 column.

[0070] Furthermore, for Company △, a specific GHG emission intensity is also provided, so calculation is possible for Pattern 3, and the calculation result 706C is also displayed in the Pattern 3 column.

[0071] On the other hand, for Company □, no data on specific company-level emissions or emissions intensity was provided by the supplier, and this data was not stored in the supplier information management unit 110, so only calculation using pattern 1 was possible, and only this result is displayed.

[0072] Furthermore, the display example of Figure 7 also displays a supplier coefficient 705, which allows for a simple evaluation (inference) of the supplier's efforts to reduce GHG emissions. That is, because the supplier coefficients of Company X and Company △ are smaller than "1," it can be evaluated (inferred) that Company X is making greater efforts to reduce GHG emissions than the average company in the Inter-Industry Table or IDEA. Also, because Company X's supplier coefficient is smaller than Company △'s, it can be evaluated (inferred) that Company X is making greater efforts to reduce GHG emissions.

[0073] Note that the display method in Figure 6 is just one example, and it is possible to visualize supplier GHG emission reduction efforts and GHG emissions by product as long as the company-level emissions, supplier coefficients, and emissions by product are displayed in a format that allows for visualization. Therefore, it is not necessary to use the display format in Figure 7.

[0074] Furthermore, in the above explanation, the activity amount is based on the product monetary value and the basic unit is based on the monetary value, but the activity amount can also be based on the product weight and the basic unit on a weight basis. Figure 8 shows the calculation formulas for calculation patterns 1 to 3 when calculating the activity amount based on the product weight and the basic unit on a weight basis. This differs from the calculation formulas shown in Figure 4B and elsewhere in that the emission basic unit in each calculation formula is "t-CO2 / kg" and the unit of activity amount is "kg / year." In this case, the processing flow as a GHG emission calculation device is the same as the flowchart shown in Figure 6.

[0075] As described above, according to this embodiment, it is possible to appropriately calculate and visualize GHG emissions by product depending on the status of data provision on GHG emissions from suppliers, and further, it is possible to easily evaluate the efforts made by suppliers to reduce GHG emissions.

[0076] 100...GHG emission calculation device, 110...supplier information management unit, 111...supplier name and product name DB, 112...product purchase amount DB, 113...product purchase weight DB, 114...company unit GHG emission DB, 115...product unit GHG emission intensity DB, 116...first management code DB, 120...emission calculation unit, 121...product-specific GHG emission calculation unit using average intensity, 122...supplier coefficient calculation unit, 123...product-specific GHG emission calculation unit using supplier coefficient, 124...product-specific GHG emission calculation unit using supplier-provided intensity, 125...calculation result storage unit, 130...product information management unit, 131...product BOM-DB, 132...emission intensity storage unit, 133...second management code DB, 140...calculation result display unit, 150...input unit

Claims

1. A GHG emission calculation device having an emission calculation unit for calculating the GHG emissions of a product, wherein the emission calculation unit multiplies the average value of the GHG emission per unit of the product by the activity amount of the product to calculate a first GHG emission which is the average value of the GHG emissions of the product, calculates a correction coefficient by dividing the GHG emissions of the enterprise unit related to the product by the sum of the first GHG emissions calculated for each product, and multiplies each of the first GHG emissions for each product by the correction coefficient to calculate a second GHG emission for each product. A GHG emission calculation device characterized by the above.

2. The GHG emission calculation device according to claim 1, further comprising: a product information management unit having a product BOM-DB for storing the component information of the product and an emission per unit storage unit for storing the average value of the GHG emission per unit of the product; a supplier information management unit having a supplier name and product name DB, a product purchase amount DB, a product purchase weight DB, and an enterprise unit GHG emission DB in a supplier which is an enterprise that supplies the product to the enterprise; an emission calculation unit having a product-by-product GHG emission calculation unit using an average per unit, a supplier coefficient calculation unit for calculating a supplier coefficient as the correction coefficient, and a product-by-product GHG emission calculation unit using the supplier coefficient, wherein the first GHG emission is calculated by the product-by-product GHG emission calculation unit using the average per unit, and the second GHG emission is calculated by the supplier coefficient calculation unit and the product-by-product GHG emission calculation unit using the supplier coefficient. A GHG emission calculation device characterized by the above.

3. The GHG emission calculation device according to claim 2, wherein the supplier information management unit has a product unit GHG emission per unit DB in which the eigenvalue of the GHG emission per unit of the product in the supplier is stored, and the emission calculation unit has a product-by-product GHG emission calculation unit using the supplier-provided per unit, and calculates a third GHG emission which is the eigenvalue of the GHG emission of the product by multiplying the eigenvalue of the GHG emission per unit of the product by the activity amount of the product. A GHG emission calculation device characterized by the above.

4. The GHG emission calculation device according to claim 3, comprising a calculation result display unit, and when the possession of the GHG emissions of the enterprise unit is not confirmed, calculating the first GHG emissions and displaying them on the calculation result display unit. A GHG emission calculation device characterized by this.

5. The GHG emission calculation device according to claim 4, and when the possession of the GHG emissions of the enterprise unit is confirmed, calculating the second GHG emissions and displaying them on the calculation result display unit together with the first GHG emissions and the supplier coefficient. A GHG emission calculation device characterized by this.

6. The GHG emission calculation device according to claim 4, and when the possession of the specific value of the GHG emission factor per unit of the product is confirmed, calculating the third GHG emissions and displaying them on the calculation result display unit together with the first GHG emissions. A GHG emission calculation device characterized by this.

7. The GHG emission calculation device according to claim 5, and when the possession of the specific value of the GHG emission factor per unit of the product is confirmed, calculating the third GHG emissions and displaying them on the calculation result display unit together with the first GHG emissions, the second GHG emissions and the supplier coefficient. A GHG emission calculation device characterized by this.

8. The GHG emission calculation device according to any one of claims 1 to 7, wherein the activity amount is the purchase amount of the product or the purchase weight of the product. A GHG emission calculation device characterized by this.

9. A GHG emission calculation method in a GHG emission calculation device having an emission calculation unit for calculating the GHG emissions of a product, wherein the emission calculation unit multiplies the average value of the GHG emission factor per unit of the product by the activity amount of the product to calculate the first GHG emissions which is the average value of the GHG emissions of the product, calculates a correction coefficient by dividing the GHG emissions of the enterprise unit related to the product by the sum of the first GHG emissions calculated for each product, and multiplies each of the first GHG emissions for each product by the correction coefficient to calculate the second GHG emissions for each product. A GHG emission calculation method characterized by this.

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