Emission management system and emission management method

Abstract

To provide a system and a method that are suitable for collecting and using greenhouse gas emission-related data relating to a plant biomass supply chain.SOLUTION: In an emission management system, tokens that include emission-related data are generated and managed in a logging site 10. An acquisition terminal 1100 generates an acquisition token with one transport amount of a timber transport truck 15 as one acquisition unit. An accumulation terminal 1200 manages the acquisition tokens in N acquisition units accumulated for each section 22 of a lumber yard 20 by including them in an accumulated token for the section. In the lumber yard 20, a processing terminal 1300 manages the accumulated tokens in M accumulation units used for each processing unit of a processing plant 30 by including them in a processing token for the processing unit. A power generation terminal 1400 manages the processing tokens in L processing units used for power generation for each power generation unit of a biomass power plant 40 by including them in a power generation token for the power generation unit.SELECTED DRAWING: Figure 2

Description

[Technical field]

[0001] The present invention relates to an emission management system for managing data related to greenhouse gas emissions. [Background technology]

[0002] Reducing greenhouse gas (GHG) emissions has become a global issue. For example, Patent Document 1 describes a technique for estimating greenhouse gas emissions in the entire logistics supply chain for all kinds of goods as a conventional technique for calculating greenhouse gas emissions in the logistics business. Of course, greenhouse gas emissions are not limited to logistics.

[0003] For example, in Japan, many biomass power plants are operated under the Feed-in Tariff (FIT) scheme for renewable energy, but certification of the origin of thinned wood, etc. is required for the certification of the purchase price. For example, Patent Document 2 describes technology related to a system for managing the traceability of wood. Meanwhile, the Feed-in Tariff scheme requires disclosure and reporting of information related to life cycle GHG, including the production and procurement process of biomass fuel, as a criterion for the sustainability of biomass power plants, and also sets standards for life cycle GHG emissions as a requirement for certification of new power plants. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] JP 2016-126372 A [Patent Document 2] Patent No. 5914917 Summary of the Invention [Problem to be solved by the invention]

[0005] However, the technology in Patent Document 1 considers all logistics supply chains as a standardized approach, making it difficult to apply it directly to various logistics supply chains with different distribution formats. In addition, the technology is specialized in estimating greenhouse gas emissions related to the transportation of goods.

[0006] Incidentally, the idea of ​​carbon neutrality is known as one of the efforts aimed at reducing greenhouse gas emissions in society as a whole. Biomass power generation using plant biomass is one example. Two-thirds of the fuel for biomass power generation certified under FIT (Feed-in Tariff Scheme for Renewable Energy) is imported, and there are concerns about greenhouse gas emissions during the fuel production and procurement process. In Japan, where forests make up a large portion of the country's land area, it is hoped that the spread of the biomass power generation industry, which mainly uses unused materials, will lead to sustainable forest management and the growth of forestry as an industry.

[0007] In recent years, there has been a trend for private companies to use carbon credits to offset the amount of greenhouse gases they have emitted, aiming for carbon neutrality. In Japan, the J-Credit system has been introduced as a national certification system for the amount of greenhouse gas emissions reduced or absorbed through the introduction of energy-saving and renewable energy facilities and forest management. In addition, the use of voluntary carbon credit systems by private non-profit organizations is also increasing. Reductions in greenhouse gases through biomass power generation can also be subject to carbon credits, but in order to receive credit certification, greenhouse gas emissions from each process of the plant raw material used as fuel, such as felling, collection, transportation, storage, and processing, must be presented, and a calculation system based on reliable evidence-based data is required.

[0008] In the supply chain for biomass power generation using plant biomass, the elements involved in each phase from upstream to downstream (acquisition of plant-based raw materials → storage → processing into fuel materials → power generation) are numerous and complex, and are influenced by various variance factors.

[0009] To briefly explain the flow of the supply chain for biomass power generation using woody biomass using an example, a logger cuts down logs, which are then transported to a lumberyard and stored for a certain period of time for drying, etc. After that, the logs are transported to a processing plant where they are processed into fuel materials such as pellets, and then transported to a biomass power plant.

[0010] However, the supply chain of plant-based biomass related to one biomass power plant is not simple, but spreads out like a web. There is variation in the species of trees harvested at each harvesting site, and the type and amount of logs brought to the same lumberyard also varies depending on the harvesting site. Furthermore, logs are not brought to the lumberyard as they are, but in some cases they are used in the supply chain of wood used for furniture and building materials. In such cases, the good logs loaded onto the truck at the harvesting site are used for furniture materials used for furniture and building materials, and the remaining scraps after the lumber is cut and logs of other quality are brought to the lumberyard for fuel materials.

[0011] Furthermore, lumber yards, which have a vast area, are divided into many sections, and the amount of logs stored in each section varies from the perspective of the amount of logs brought in, management of the drying period, accounting, etc. Some sections are filled to the maximum, while other sections may have some room above the upper limit due to management restrictions, etc.

[0012] We have explained an example where the plant raw material for plant biomass is wood, but the same can be said for plants other than wood, such as bamboo, corn, sugar cane, sorghum, PKS (Palm Kernel Shell), EFB (Empty Fruits Bunch), rapeseed, and pongamia (a legume tree that produces a non-edible oil), as well as other by-products.

[0013] Until now, there has been no system for collecting and managing data related to greenhouse gas emissions for each element in each phase of the plant biomass supply chain. In particular, there has been a desire to realize the collection and management of data related to life cycle greenhouse gas emissions. "Life cycle greenhouse gas" refers to the total amount of greenhouse gas emissions from the cultivation of raw materials to their final use as fuel.

[0014] The problem that the present invention aims to solve is to provide a technology for realizing a system suitable for collecting and using data related to greenhouse gas emissions related to the supply chain of plant biomass. [Means for solving the problem]

[0015] The first invention for solving the problems is an emissions management system for managing data on greenhouse gas emissions and / or emissions-related data for calculating the emissions related to a supply chain including the production, transportation, and processing of fuel for power generation using plant biomass, comprising: An acquisition token management means (e.g., the acquisition terminal 1100 in FIG. 2, and FIGS. 19 to 20) that manages the emission-related data related to the acquisition of a specific plant that is the source of the plant biomass or a plant-based raw material that is a primary processed product of the plant, as an acquisition token for each acquisition unit that is a unit of the plant-based raw material; An accumulation token management means (e.g., accumulation terminal 1200 in FIG. 2, FIGS. 21 to 23) for accumulating data on the accumulation of N (N≧1) pieces of the plant-based raw materials in the acquisition unit as one accumulation unit, and managing the data as an accumulation token for each accumulation unit; A processing token management means (e.g., the processing terminal 1300 in FIG. 2, and FIGS. 24 to 25) for managing the emission-related data related to a processing process in which M (M≧1) pieces of the plant-based raw materials of the accumulation unit are processed to produce a fuel material of one processing unit as a processing token for each processing unit; and a power generation token management means (e.g., the power generation terminal 1400 in FIG. 2, FIG. 26) for managing power generation-related data, which is data on the amount of power generated and / or the amount of heat generated, of one power generation unit obtained by performing biomass power generation using L (L≧1) pieces of the fuel material of the processing units, as a power generation token for each power generation unit; The accumulation token management means manages data of the acquisition token corresponding to the N acquisition units included in the accumulation unit related to the accumulation token by including the data of the acquisition token in the accumulation token, The processing token management means manages data of the storage token corresponding to M storage units included in the processing processing unit related to the processing token by including the data of the storage token in the processing token; The power generation token management means is an emission management system that includes and manages data of the processed tokens corresponding to the L processing units included in the power generation unit related to the power generation token, in the power generation token.

[0016] "Specified plants that are the source of plant biomass" are, for example, woody plants such as trees, bamboo, sorghum, rapeseed, corn, and pongamia, herbaceous plants, oil plants, and their by-products. "Primary processed products of plants" are, for example, wood from peeled logs, scraps remaining after cutting lumber from logs, and products that have been subjected to processing such as crushing, compression, or drying. "Fuel materials" are, for example, pellets, semi-carbonized chips, oil, biodiesel fuel, alcohol, fermentation gas, etc.

[0017] According to the first aspect of the present invention, it is possible to provide a technique for realizing a system suitable for collecting and using data related to greenhouse gas emissions related to the supply chain of plant biomass.

[0018] Specifically, according to the emission management system of the first invention, in each phase of the supply chain for biomass power generation using plant biomass (phase of acquiring plant-based raw materials → phase of storage → phase of processing into fuel materials → phase of power generation), tokens are generated for a predetermined management unit suited to the actual conditions of each phase. Tokens generated relatively downstream in the supply chain contain tokens for the management units in the upstream phases that were used in generating the management units of the tokens. By referencing the tokens, it is possible not only to calculate the total greenhouse gas emissions related to one unit of power generation, but also to individually calculate the emissions for each management unit of the processing, storage, and acquisition phases used to generate that one unit of power generation.

[0019] A second invention is an emission management system in which, in the above-mentioned emission management system, each of the acquired token, the accumulated token, the processed token and the power generation token includes identification information for identifying the token, and the emission management system further includes a search control means (e.g., the power generation terminal 1400 in Figure 2, steps S420 to S424 in Figure 26) that searches for and outputs the emission-related data and the power generation-related data related to the token of the identification information and / or the tokens contained in the token based on the identification information.

[0020] Further, a third invention is an emissions management system in which, in the above-mentioned emissions management system, the accumulation token includes data on the proportion of the plant-based raw material included in the accumulation unit of the accumulation token by acquisition unit, the processing token includes data on the proportion of the plant-based raw material included in the processing unit of the processing token by accumulation unit, and the power generation token includes data on the proportion of the fuel material included in the power generation unit of the power generation token by processing unit, and the search control means searches for the accumulation token, the processing token and the power generation token related to the token of the identification information based on the identification information, and calculates and outputs either the greenhouse gas emissions and the power generation amount and / or the heat generation amount related only to the token of the identification information.

[0021] The emission management system of the second or third invention can search for and output emission-related data and power generation-related data related to a specific token using the token's identification information as a key. This enables users to consider and verify greenhouse gas reduction measures, focusing on the management units (tokens) of each phase of the supply chain.

[0022] A fourth invention is an emissions management system in which each of the tokens, the acquisition token, the storage token, the processing token and the power generation token, includes data contained in the token and information to ensure the integrity and authenticity of the token.

[0023] According to the fourth aspect of the present invention, it is possible to realize an emission management system that can guarantee the integrity and authenticity of the data contained in the token and the token.

[0024] A fifth invention is an emission amount management system in which, in the above-mentioned emission amount management system, the acquired token management means is configured with an acquisition terminal having a man-machine interface function for managing the acquired token, and the accumulated token management means obtains data of the acquired token from the acquisition terminal (for example, steps S200 to S208 in Figure 21).

[0025] According to the fifth aspect of the present invention, it becomes possible to obtain data of the acquisition token from the acquisition terminal.

[0026] A sixth invention is an emission management system in which the acquired token management means manages at least one of transportation-related data, which is greenhouse gas emissions related to the transportation of the plant-based raw materials of the acquisition unit and / or data for calculating said emissions, and acquisition proportion data, which indicates the proportion of the plant-based raw materials of the acquisition unit in the amount of raw plants obtained on site, as update data, and the accumulated token management means acquires the update data from the acquisition terminal and manages the update data by including it in the accumulated token as one of the data of the acquired token corresponding to the acquisition unit related to the update data.

[0027] The emission management system of the sixth invention can manage, by being included in the accumulation token, transportation-related data regarding the transportation of plant-based raw materials and acquisition ratio data for each acquired token included in the accumulation token.

[0028] A seventh invention is an emission management system in which, in the above-mentioned emission management system, the acquisition terminal is a terminal mounted on a transport vehicle that transports the plant-based raw materials, or a terminal carried by a transport user associated with the transport vehicle, and the accumulation token management means is equipped with an accumulation terminal having a man-machine interface function for managing the accumulation token, and the accumulation terminal communicates with the acquisition terminal to obtain the update data.

[0029] According to the seventh aspect of the present invention, an opportunity to transport a plant-based raw material of an acquisition unit to a storage location by a transport vehicle can be used as an opportunity to provide an acquisition token of the acquisition unit to a storage terminal. By realizing the transportation and the provision of the acquisition token to the storage terminal on a common occasion, the operation related to the provision and acquisition of update data can be simplified.

[0030] An eighth invention is an emission management system in which, in the above-mentioned emission management system, the accumulation token management means manages accumulated environmental data, which is environmental information during the period during which the plant-based raw materials of the accumulation unit related to the accumulation token are accumulated, by including it in the accumulation token, and the search control means is capable of searching for and outputting the accumulated environmental data of the accumulation token, the power generation related data related to the power generation token including the accumulation token, and the emission related data related to the accumulation token based on the identification information of the accumulation token.

[0031] According to the eighth aspect of the present invention, data on environmental information during the storage of plant-based raw materials can be included in the storage token and managed. In addition, it is possible to search and output the stored environmental data of the storage token, the power generation related data related to the power generation token including the storage token, and the emission related data related to the storage token. This makes it possible to analyze, for example, the impact of environmental information during the storage of plant-based raw materials on the amount of power generation, heat generation, greenhouse gas emissions, etc.

[0032] The ninth invention is an emission management method for managing data on greenhouse gas emissions and / or emission-related data, which is data for calculating the emissions, related to a supply chain including the production, transportation, and processing of fuel for power generation using plant biomass, comprising: an acquisition token management step of managing the emission-related data relating to the acquisition of a predetermined plant that is the source of the plant biomass or a plant-based raw material that is a primary processed product of the plant as an acquisition token for each acquisition unit that is a unit of the plant-based raw material; an accumulation token management step of accumulating N (N≧1) of the plant-based raw materials of the acquisition unit as one accumulation unit, and managing data related to the accumulation as an accumulation token for each accumulation unit; a processing token management step of managing the emission-related data relating to a processing unit in which a fuel material is produced by processing M (M≧1) pieces of the plant-based raw materials of the accumulation unit as a processing token for each processing unit; a power generation token management step of managing power generation-related data, which is data on the amount of power generated and / or the amount of heat generated, of one power generation unit obtained by performing biomass power generation using L (L≧1) pieces of the fuel material of the processing units, as a power generation token for each power generation unit; Including, The accumulation token management step is a step of managing data of the acquisition token corresponding to N acquisition units included in an accumulation unit related to the accumulation token by including the acquisition token in the accumulation token, The processing token management step is a step of managing data of the accumulation token corresponding to M accumulation units included in the processing processing unit related to the processing token by including the data of the accumulation token in the processing token, The power generation token management step is a step of managing data of the processing token corresponding to L processing units included in the power generation unit related to the power generation token by including the data of the processing token in the power generation token. This is an emission control method.

[0033] According to the ninth aspect of the present invention, it is possible to realize a discharge management method that exerts the same effects as the above-mentioned aspects. [Brief description of the drawings]

[0034] [Figure 1] FIG. 1 is a diagram showing an example of the configuration of an emission management system. [Diagram 2] FIG. 1 is a diagram showing an example of the relationship between various terminals of an emission management system and a supply chain related to biomass power generation using woody biomass. [Diagram 3] FIG. 2 is a diagram for explaining an example of the configuration of an acquisition terminal; [Figure 4] FIG. 13 is a diagram showing an example of the data configuration of an acquisition token. [Diagram 5] FIG. 13 is a diagram showing an example of a display of an input screen related to generation of an acquisition token. [Figure 6] FIG. 2 is a diagram for explaining a configuration example of a storage terminal. [Figure 7] FIG. 13 is a diagram showing an example of the data configuration of an accumulation token. [Figure 8] FIG. 2 is a diagram for explaining a configuration example of a processing terminal; [Figure 9] FIG. 13 is a diagram showing an example of the data configuration of a processing token. [Figure 10] FIG. 2 is a diagram for explaining an example of the configuration of a terminal for power generation; [Figure 11] FIG. 4 is a diagram showing an example of the data configuration of a power generation token. [Figure 12] FIG. 13 is a diagram for explaining additional tokens (fuel economy tokens). [Figure 13] FIG. 13 is a diagram showing an example of an input screen for generating a fuel efficiency token. [Figure 14] FIG. 13 is a diagram for explaining a change in acquired tokens based on fuel efficiency tokens. [Figure 15] FIG. 13 is a diagram for explaining updating of an accumulation token. [Figure 16] FIG. 13 is a diagram for explaining updating of a processing token. [Figure 17] FIG. 13 is a diagram for explaining updating of a power generation token. [Figure 18] FIG. 13 is a diagram showing a display example of a search screen. [Figure 19] 10 is a flowchart illustrating a process flow in the acquisition terminal. [Figure 20] Flowchart continued from Figure 19. [Figure 21] 11 is a flowchart for explaining a process flow in a storage terminal. [Figure 22] Flowchart continuing from Figure 21. [Figure 23] Flowchart continuing from Figure 22. [Figure 24] 11 is a flowchart for explaining a process flow in the processing terminal. [Diagram 25] Flowchart continuing from Figure 24. [Figure 26] 6 is a flowchart for explaining a process flow in the power generation terminal. [Figure 27] FIG. 13 is a diagram for explaining a modified example of the emission management system. [Figure 28] FIG. 13 is a diagram for explaining a modified example of the emission management system. [Figure 29] FIG. 13 is a diagram for explaining a modified example of the emission management system. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0035] FIG. 1 is a diagram showing an example of the system configuration of an emission management system 1000. The emission management system 1000 is a system that manages data on greenhouse gas emissions in biomass power generation using plant biomass and / or emission-related data that is data for calculating the emissions.

[0036] One emission management system 1000 includes an acquisition terminal 1100, a storage terminal 1200, a processing terminal 1300, and a power generation terminal 1400. Each terminal can exchange data with each other via information communication 9.

[0037] The information communication 9 may be wired or wireless, but will be described below as wireless communication (e.g., Wi-Fi, Wi-Fi, etc.). The information communication 9 may be configured as a so-called network, or may be in a form in which terminals located within a communication range are directly connected to each other.

[0038] The acquisition terminal 1100 is a computer having a man-machine interface function in the emission management system 1000. The acquisition terminal 1100 is a computer carried by a user working at the acquisition site of a specific plant that is the source of plant biomass or a plant-based raw material that is a primary processed product of the plant (e.g., wood, bamboo, sorghum, rapeseed, corn, etc.), or a transport user who transports the acquired plant-based raw material to a storage location.

[0039] The acquisition terminal 1100 is realized, for example, by a smartphone, a tablet PC, a notebook computer, or a wearable computer (specifically, for example, a wristwatch-type wearable computer, smart glasses, etc.).

[0040] Examples of "prescribed plants that are the source of plant biomass" include wood, bamboo, sorghum, rapeseed, corn, pongamia, etc. Examples of "primary processed products of plants" include wood obtained by peeling raw logs, scraps remaining after cutting lumber from logs, plants that have been subjected to processing such as crushing, compression or drying, etc.

[0041] The storage terminal 1200 is a computer for managing a storage site that stores plant-based raw materials. The storage terminal 1200 is realized, for example, by using a smartphone, a tablet PC, a notebook PC, a desktop PC, or the like.

[0042] The processing terminal 1300 is a management computer for a processing plant that processes plant-based raw materials into fuel materials for biomass power generation. The processing terminal 1300 is realized, for example, by using a smartphone, a tablet PC, a notebook PC, a desktop PC, or the like.

[0043] In addition, "fuel materials" include, for example, pellets, semi-carbonized chips, fermentation gas collected from the gas produced by fermentation, vegetable oils and fats, etc.

[0044] The power generation terminal 1400 is a management computer for a biomass power plant that generates power using fuel materials made from plant-based raw materials. The power generation terminal 1400 is realized, for example, using a smartphone, a tablet PC, a notebook PC, a desktop PC, or the like.

[0045] FIG. 2 is a diagram showing an example of the relationship between various terminals of the emission management system 1000 and a supply chain related to biomass power generation using woody biomass. The supply chain for biomass power generation using woody biomass includes an acquisition phase, a storage phase, a processing phase, and a power generation phase.

[0046] The acquisition phase is a phase in which a specific plant that is the source of plant biomass or a plant raw material that is a primary processed product of the plant is acquired. For example, in a supply chain related to biomass power generation using woody biomass, the acquisition phase corresponds to various actions carried out at a felling site 10. Specifically, the acquisition phase includes the formation of forest roads, the formation of a yard, the construction / removal of temporary facilities, felling, branching, transportation, etc. Planting trees after felling may also be included in the acquisition phase. In addition, the tree species may be any type, for example, coniferous trees such as cedar and pine, broadleaf trees such as mizunara, fast-growing trees such as willow, etc.

[0047] At the felling site 10, logs felled with a chainsaw 12 have branches and leaves removed by a harvester 13 or the like and are cut to a specified length to become plant-based raw material 14. The plant-based raw material 14 is loaded onto a timber transport truck 15 and transported to a storage area for plant-based raw material 14, i.e., a lumber yard 20.

[0048] One load of plant-based raw materials 14 for transporting wood 15 constitutes an "acquisition unit."

[0049] The acquisition terminal 1100 is carried by a transport user who drives the timber transport truck 15. If the transport user also serves as a user 4 who performs tree cutting work with a chainsaw 12, the user may carry the acquisition terminal 1100.

[0050] The storage phase is realized in a lumber yard 20, which is a storage area for plant-based raw materials 14. The lumber yard 20 is built in a relatively flat, open area on land, and is a place where plant-based raw materials 14 are accumulated and distributed across multiple compartments 22 for storage and management. One compartment 22 is an "accumulation unit." One compartment 22 can store N (N≧1) loads of plant-based raw materials 14 for wood transport trucks 15.

[0051] A storage terminal 1200 is provided for each lumber yard 20 .

[0052] The processing phase is carried out at a processing plant 30 for fuel materials used in biomass power generation. A processing terminal 1300 is provided for each processing plant 30 . 2, the processing plant 30 is located relatively close to the lumber yard 20. The plant-based raw material 14 stored in the section 22 of the lumber yard 20 is transported to the processing plant 30 by, for example, a forklift 24.

[0053] The processing plant 30 is equipped with small silos 32, and the fuel material produced in the processing plant 30 is temporarily stored in the small silos 32. One small silo 32 stores fuel material made from M plots (M≧1) of plant-based raw materials 14. In the example of FIG. 2, one small silo 32 is regarded as a "processing unit."

[0054] The power generation phase is realized in a biomass power plant 40 . A power generation terminal 1400 is provided for each biomass power plant 40 . 2, the biomass power plant 40 is located relatively close to the processing plant 30. Fuel materials stored in small silos 32 at the processing plant 30 are transferred to a large silo 42 at the biomass power plant 40 by a belt conveyor 34.

[0055] One large silo 42 in the biomass power plant 40 can store fuel materials stored in L (L≧1) small silos 32. One large silo 42 is considered to be a "power generation unit." The fuel materials in the large silo 42 are successively taken out in an amount according to the required amount of power generation per hour, supplied to the combustion furnace of the biomass power plant 40, and used for power generation.

[0056] FIG. 3 is a diagram illustrating an example of the configuration of the acquisition terminal 1100. As shown in FIG. The acquisition terminal 1100 has a touch panel 1106 and a control board 1150. The control board 1150 has a CPU 1151, an IC memory 1152, a wireless communication module 1153 for implementing information communication 9, and a positioning module 1154 for acquiring positioning information.

[0057] The wireless communication module 1153 is realized by, for example, a module for connecting to a mobile phone network, and a module compatible with the wireless standard of the information communication 9. The wireless communication module 1153 may include a plurality of types of modules for compatibility with a plurality of wireless standards.

[0058] The positioning standard that the positioning module 1154 conforms to can be set as appropriate. Since the felling site 10 is located in the mountains, it is preferable to conform it to a satellite positioning system.

[0059] The IC memory 1152 stores a terminal program 501 for acquisition, a map application program 503, an acquirer ID 505, a terminal ID 507 for acquisition, positioning information 509 (including, for example, positioning date and time, latitude, longitude, altitude, etc.), an acquisition token 510, and a current date and time 900.

[0060] The acquisition terminal program 501 is a program that, when executed by the CPU 1151, causes a computer such as a smartphone to realize the functions of the acquisition terminal 1100.

[0061] The map application program 503 is application software that enables a computer to function as a "map application." The map application has a function to search for a route connecting a start point and an end point specified by the user, a function to calculate the required time for each route, a function to calculate the travel distance for each route, and the like. The IC memory 1152 also stores API (Application Programming Interface) software for the map application. By using the API, the acquisition terminal program 501 inputs the latitude and longitude of the start point and end point to be provided to the map application, and obtains the output of the required time and travel distance from the map application.

[0062] The acquisition token 510 is information indicating when, where, by whom, and how much fuel was consumed to acquire (cut; produce) the plant-based raw material 14 of an acquisition unit, with each plant-based raw material 14 transported by one timber transport truck 15 being regarded as an "acquisition unit." Before the timber transport truck 15 starts transporting the plant-based raw material 14 to the lumber yard 20, the user inputs a specified acquisition token generation operation into the acquisition terminal 1100, whereby the acquisition token 510 is generated and stored.

[0063] 4, one acquired token 510 includes a unique token ID 511, acquisition source information 513, acquired weight 515, transportation related data 516, update request flag 520, transportation date and time 522, and authenticity proof information 524. Of course, data other than these may also be included as appropriate.

[0064] The token ID 511 is composed of an acquirer code that is uniquely set for each acquirer ID 505, an acquisition terminal ID 507, the date and time the token was generated, and a unique value that includes a multi-digit number or text.

[0065] The acquisition source information 513 stores information indicating who acquired and where the plant-based raw material 14. Specifically, it includes the acquirer ID (name of the felling business), acquisition location name (name of current felling location), acquisition location latitude and longitude, etc.

[0066] The acquired weight 515 is the actual weight of the one acquisition unit. The initial value is set to a predetermined value (for example, NULL) indicating that the weight is undecided, and is updated later with the result of weighing at the lumber yard 20.

[0067] The transportation related data 516 is data about the energy consumed in the acquisition phase, and may be referred to as "accumulation phase related energy consumption data." The transportation-related data 516 is data for calculating the amount of greenhouse gas emissions mainly related to transportation. For example, the transportation-related data 516 includes a transportation distance 517 and fuel efficiency data 518. The fuel efficiency data 518 includes a fuel type and a fuel amount.

[0068] The transport distance 517 is initially set to a predetermined value (e.g., NULL) indicating that the value is undetermined, but is later updated with the travel distance obtained by inputting the start point position coordinates and end point position coordinates into the map application. The start point position coordinates are the positioning information 509 (see FIG. 3) when the acquisition token 510 is created, and reference is made to the acquired position latitude and longitude of the acquisition source information 513. The end point position coordinates are obtained from the positioning information 509 that is positioned and acquired when the timber transport truck 15 arrives at the lumber yard 20 and the acquisition terminal 1100 and the storage terminal 1200 communicate with each other.

[0069] Fuel efficiency data 518 is created for each energy source and fuel type. Fuel types include kerosene, diesel, gasoline, heavy oil, alcohol, electricity, hydrogen, synthetic fuel, etc. The initial value of one piece of fuel efficiency data 518 is set to a predetermined value (for example, NULL) indicating that the data is undecided. When a fuel efficiency token is created at the acquisition terminal 1100 during refueling (described in detail later), the actual consumption amount is updated based on the fuel efficiency token.

[0070] The update request flag 520 indicates that an update is required in the terminal that stores the acquired token due to a change related to the acquired token. The initial value is "0 (= not required)".

[0071] The transportation date and time 522 is initially set to a predetermined value (e.g., NULL) meaning that no transmission has been made, but is updated to the current date and time 900 when the acquisition terminal 1100 communicates with the storage terminal 1200 when the data is brought into the lumber yard 20.

[0072] The authenticity certification information 524 is data for proving the authenticity of the acquired token 510. For example, it may be a hash value generated by using the token ID 511, acquisition source information 513, acquired weight 515, transportation related data 516, and transportation date and time 522 as targets for authenticity certification. Alternatively, it may be a time stamp, a digital signature, an NFT (Non-Fungible Token), or the like. The authenticity certification information 524 is updated every time the target for authenticity certification is updated.

[0073] FIG. 5 is a diagram showing an example of a display of an input screen related to generation of an acquisition token. When the acquisition terminal 1100 detects a predetermined operation (e.g., selecting an acquisition token generation operation from a menu), it displays an input screen W2. The input screen W2 displays a token ID display section 50, a terminal ID display section 51, an acquisition date and time display section 52, and an acquisition source information display section 54.

[0074] The acquisition source information display section 54 includes an acquirer ID display section 55, an acquisition location name input section 56, a latitude and longitude display section 57 of a current location, and an execution operation icon 58. When the user touches the acquisition location name input section 56, for example, a software keyboard is displayed, and the user can input each name. Names that have been input once may be displayed as an input candidate list when each history display operation icon 59 is touched.

[0075] FIG. 6 is a diagram for explaining an example of the configuration of the storage terminal 1200. As shown in FIG. The storage terminal 1200 includes a touch panel 1206, a keyboard 1208, and a control board 1250. The control board 1250 includes a CPU 1251, an IC memory 1252, and a wireless communication module 1253.

[0076] The wireless communication module 1253 is realized by a module compatible with the communication standards of the information communication 9 (see FIG. 1) and the LAN (Local Area Network) 29. The wireless communication module 1253 may include a plurality of types of modules to be compatible with a plurality of wireless standards.

[0077] The accumulation terminal 1200 is connected to the LAN 29 by the wireless communication module 1253 , and communicates with the entrance weighing machine 1220 , the entrance wireless device 1222 , the exit weighing machine 1224 , and the exit wireless device 1226 .

[0078] The entrance weighing machine 1220 is provided near the entrance gate of the lumber yard 20, and transmits weight data measured for each lumber transport truck 15 to the accumulation terminal 1200. The exit weighing machine 1224 is provided near the exit gate of the lumber yard 20, and transmits weight data measured for each lumber transport truck 15 to the accumulation terminal 1200. The entrance wireless device 1222 and the exit wireless device 1226 are realized by, for example, a communication device conforming to the Wi-Fi standard.

[0079] The IC memory 1252 stores a terminal program for accumulation 531 , an accumulation user ID 533 , a terminal ID for accumulation 535 , an accumulation token 540 , and a current date and time 900 .

[0080] The storage terminal program 531 is a program for implementing the functions of the storage terminal 1200 in the computer by being executed by the CPU 1251 .

[0081] The storage token 540 is created for each section 22 of the lumberyard 20, and stores information regarding the amount of plant-based raw materials 14 stored in that section 22, who acquired them, and when, and what kind of plant-based raw materials 14 were stored. In other words, it corresponds to raw material tracing information regarding the plant-based raw materials 14 stored in the section 22.

[0082] 7, one accumulation token 540 includes a unique token ID 541, a partition ID 543, a partition accumulation amount 545, an acquired token 510T, acquired token ratio data 547, accumulation environment data 548, transportation related data 550, an update request flag 556, a usage date and time 558, and authenticity proof information 559. Of course, data other than these may also be included as appropriate.

[0083] The token ID 541 is composed of an accumulator code that is uniquely set for each accumulator ID 533, an accumulation terminal ID 535, the generation date and time of the token, and a unique value including a multi-digit number or text.

[0084] The acquisition token 510T is the acquisition token 510 transmitted from the acquisition terminal 1100 of the timber transport truck 15 that has entered the lumber yard 20.

[0085] The acquired token ratio data 547 is data on the ratio of the amount of plant-based raw materials 14 per acquired token 510T included in the accumulated token 540, and is created for each acquired token 510T of the plant-based raw materials 14 accumulated in the section 22 of the accumulated token 540. One acquired token ratio data 547 includes an acquired token ID, an accumulated amount of the plant-based raw materials 14 related to the acquired token 510T accumulated in the section, and an accumulation ratio indicating the ratio of the accumulated amount to the section accumulation amount 545. The section accumulation amount 545 is the total amount of plant-based raw materials 14 accumulated in the section. Therefore, the accumulation ratio indicates the ratio of the plant-based raw materials 14 related to the acquired token 510T to the plant-based raw materials 14 included in the accumulated token.

[0086] The accumulated environmental data 548 stores data on the environment during accumulation in the section. For example, it is automatically created at a predetermined cycle during the accumulation period and when the lumber is transported to the processing plant 30, and environmental information such as temperature, humidity, weather, solar radiation, wind speed, wind direction, and rainfall is stored historically in association with the date and time. For example, a sensor for environmental information may be installed in the lumberyard 20, and the accumulation terminal 1200 may obtain measured values ​​from the sensor at predetermined intervals, and the accumulated environmental data 548 may be created for all accumulated tokens 540 that have not been transported at that time. The accumulated environmental data 548 may include the moisture content. The moisture content may be manually input by an operator using a moisture meter, or may be automatically measured by attaching a moisture sensor to the lumber.

[0087] The transportation-related data 550 can also be said to be data about the energy consumed in the accumulation phase, and may therefore be rephrased as "accumulation phase-related consumed energy data."

[0088] The transportation-related data 550 is data for calculating the amount of greenhouse gas emissions associated with the transportation of the plant-based raw materials 14 in the section 22 when the plant-based raw materials 14 are mainly transported to the processing plant 30. For example, the transportation-related data 550 includes a transportation distance 552 and fuel efficiency data 554. The fuel efficiency data 554 includes the type of fuel and the amount of fuel.

[0089] The transport distance 552 and fuel consumption data 554 in the case of transporting by the forklift 24 are set to the average travel distance and average fuel consumption of the forklift 24 that are calculated in advance.

[0090] The update request flag 556 indicates that the storage token has been changed and therefore needs to be updated in the terminal that stores the storage token. The initial value is "0 (=unnecessary)."

[0091] The usage date and time 558 indicates that the plant-based raw material 14 stored in the section 22 corresponding to the storage token has been used for processing. The initial value is a predetermined value (e.g., NULL) that means unused. When the plant-based raw material 14 is brought into the processing plant 30, it is updated to the current date and time 900.

[0092] The authenticity proof information 559 is data for proving the authenticity of the accumulation token 540. For example, it can be a hash value generated by using the token ID 541, the partition ID 543, the partition accumulation amount 545, the acquired token 510T, the acquired token ratio data 547, the transport related data 550, and the usage date and time 558 as targets for authenticity proof. Alternatively, it may be a time stamp, a digital signature, an NFT, or the like. The authenticity proof information 559 is updated every time the target for authenticity proof is updated.

[0093] FIG. 8 is a diagram for explaining a configuration example of the processing terminal 1300. As shown in FIG. The processing terminal 1300 has a touch panel 1306, a keyboard 1308, and a control board 1350. The control board 1350 has a CPU 1351, an IC memory 1352, and a wireless communication module 1353.

[0094] The wireless communication module 1353 is realized by a module compatible with the information communication 9. The wireless communication module 1353 may include a plurality of types of modules to be compatible with a plurality of wireless standards.

[0095] The IC memory 1352 stores a processing terminal program 561 , a processor ID 563 , a processing terminal ID 565 , a filling destination silo ID 567 , a processing token 570 , and the current date and time 900 .

[0096] The processing terminal program 561 is a program for implementing the functions of the processing terminal 1300 in the computer by being executed by the CPU 1351 .

[0097] The filling destination silo ID 567 indicates the filling destination of the produced fuel material among the small silos 32 in the processing plant 30. The user sets the filling destination silo ID 567 by performing a predetermined filling destination silo setting operation according to the progress of work at the processing plant. Alternatively, a sensor may detect the remote opening and closing operation of a filling port of a separate small silo 32 prepared separately, and the filling destination silo ID 567 may be automatically set according to the detection result.

[0098] The processing token 570 is created for each packing unit of fuel material packed in one small silo 32 in the processing plant 30. The processing token 570 stores information such as the amount of fuel material stored in the small silo 32 and the location of the plant-based raw material 14 used to make it. In other words, the processing token 570 corresponds to raw material tracing information for producing the fuel material of a processing unit, with the fuel material stored in the small silo 32 being regarded as one processing unit.

[0099] 9, one processing token 570 includes a unique token ID 571, a silo ID 573, a storage amount 575, an accumulated token 540T, and accumulated token ratio data 577. It also includes processing related data 584, transportation related data 586, an update request flag 590, a use date and time 592, and authenticity proof information 594. Of course, data other than these may also be included as appropriate. For example, the moisture content measured at the time of delivery to the biomass power plant 40 may be included.

[0100] The token ID 571 is composed of a processor code that is uniquely set for each processor ID 563, a processing terminal ID 565, the generation date and time of the token, and a unique value including a multi-digit number or text.

[0101] The accumulation token 540K is an accumulation token 540 transmitted from the accumulation terminal 1200 of the lumber yard 20 that has accumulated the plant-based raw material 14 brought into the processing plant 30. The accumulation token 540K includes the acquisition token 510K.

[0102] The accumulated token ratio data 577 is data on the ratio of the amount of plant-based raw materials 14 per accumulated token 540T included in the processing token 570, and is created for each accumulated token 540T of the plant-based raw materials 14 brought into the processing plant 30 and used as fuel material accumulated in the small silo 32 corresponding to the processing token 570. One accumulated token ratio data 577 includes an accumulated token ID, a usage amount of the plant-based raw materials 14 related to the accumulated token 540T used as fuel material, and a usage ratio indicating the ratio of the usage amount to the total usage amount. The total usage amount is the total amount of plant-based raw materials 14 used to create the fuel material of the storage amount 575 of the processing token 570. Therefore, the usage ratio indicates the ratio of the plant-based raw materials 14 related to the accumulated token 540T to the plant-based raw materials 14 required to create the fuel material of the processing token 570. Of course, other data can be included as appropriate.

[0103] The processing-related data 584 is prepared for each fuel type, and stores data related to the energy consumed at the processing plant 30 in the processing. Specifically, it is fuel consumption data, and includes the fuel type and the consumption amount. The initial value of the consumption amount is a predetermined value (e.g., NULL) indicating that it is undetermined. It will be updated to the actual consumption amount at a later date.

[0104] The transportation-related data 586 can also be said to be data about the energy consumed in the processing phase, and may therefore be rephrased as "processing-phase-related energy consumption data."

[0105] The transportation-related data 586 is data for calculating the amount of greenhouse gas emissions mainly related to the transportation of fuel materials from the processing plant 30 to the biomass power plant 40. For example, it includes a transportation distance 587 and fuel consumption data 588. The fuel consumption data 588 is prepared for each type of fuel. The initial value of the consumption amount is a predetermined value (for example, NULL) indicating that the consumption amount is undecided. It will be updated to the actual consumption amount at a later date. The transportation distance 587 and the fuel consumption data 588 in the case of transportation by the belt conveyor 34 are predetermined values ​​calculated in advance.

[0106] The update request flag 590 indicates that an update is required in the terminal that stores the storage token 540 K, in response to a change related to the storage token 540 K. The initial value is "0 (=unnecessary)."

[0107] The usage date and time 592 indicates that the fuel material stored in the silo corresponding to the processing token 570 has been used for power generation. The initial value is a predetermined value (e.g., NULL) that means unused. It is updated to the current date and time 900 when the fuel material was transported from the processing plant 30 to the biomass power plant 40.

[0108] The authenticity proof information 594 is data for proving the authenticity of the processed token 570. For example, it can be a hash value generated by using the token ID 571, silo ID 573, storage amount 575, accumulated token 540K, accumulated token ratio data 577, processing related data 584, transportation related data 586, and usage date and time 592 as targets for authenticity proof. Alternatively, it may be a timestamp, a digital signature, an NFT, or the like. The authenticity proof information 594 is updated each time the target for authenticity proof is updated.

[0109] FIG. 10 is a diagram for explaining a configuration example of the power generation terminal 1400. As shown in FIG. The power generation terminal 1400 includes a touch panel 1406, a keyboard 1408, and a control board 1450. The control board 1450 includes a CPU 1451, an IC memory 1452, and a wireless communication module 1453.

[0110] The wireless communication module 1453 is realized by a module compatible with the information communication 9. The wireless communication module 1453 may include a plurality of types of modules to be compatible with a plurality of wireless standards.

[0111] The IC memory 1252 stores a power generation terminal program 601 , a power generator ID 603 , a power generation terminal ID 605 , a power generation token 610 , and the current date and time 900 .

[0112] The power generation terminal program 601 is a program for implementing the functions of the power generation terminal 1400 in the computer by being executed by the CPU 1451 .

[0113] A power generation token 610 is created for each power generation unit, with the use of a predetermined number of fuel materials in the large silo 42 being one power generation unit. The power generation token 610 stores information about the fuel source used to generate electricity. If the generated electricity is considered as a product, the power generation token 610 corresponds to raw material tracing information.

[0114] 11, one power generation token 610 includes a unique token ID 611, power generation related data 614, a processed token 570H, processed token ratio data 620, accumulated token ratio data 622, acquired token ratio data 624, authenticity proof information 626, and moisture content 628. Of course, other data may also be included as appropriate.

[0115] The token ID 611 is generated to include a power generator code that is uniquely set for each power generator ID 603, a terminal ID 605 for power generation, the power generation date and time which is also the generation date and time of the token, and a unique value including a multi-digit number or text.

[0116] The power generation related data 614 includes an amount of power generation 615 , an amount of heat generated 616 , and an amount of GHG 617 .

[0117] The processed token 570H is the processed token 570 transmitted from the processing terminal 1300 of the processing plant 30 when the fuel material is carried into the biomass power plant 40. In other words, the data content of the processed token 570H is the same as that of the processed token 570 in FIG.

[0118] The processing token 570H includes an accumulation token 540H. The data content of the accumulation token 540H is the same as that of the accumulation token 540 in Fig. 7. The accumulation token 540H includes an acquisition token 510H. The data content of the acquisition token 510H is the same as that of the acquisition token 510 in Fig. 4.

[0119] The GHG amount 617 is the amount of greenhouse gas emissions calculated based on the processed tokens 570H (see FIG. 9). Specifically, it is calculated based on the storage amount 575 of the processed tokens 570H and the amount of greenhouse gas generated when a fuel material per unit weight (or per unit volume) calculated in advance is burned.

[0120] The GHG amount 617 includes the processing-related emissions based on the fuel type, consumption amount, and greenhouse gas emissions per unit amount of the fuel type indicated by the processing-related data 584 (see FIG. 9) of the processing token 570H.

[0121] The GHG amount 617 also includes the transportation-related generation amount based on the fuel type, consumption amount, and greenhouse gas emission amount per unit amount of the fuel type indicated by the fuel consumption data 588 (see FIG. 9) of the processed token 570H.

[0122] The GHG amount 617 also includes the transportation-related generation amount based on the fuel type, consumption amount, and greenhouse gas emission amount per unit amount of the fuel type indicated by the fuel consumption data 554 (see FIG. 7) of the accumulated token 540H.

[0123] In addition, the GHG amount 617 includes the fuel type, consumption amount, and transportation-related generation amount based on the greenhouse gas emission amount per unit amount of the fuel type indicated by the fuel consumption data 518 (see FIG. 4) of the acquired token 510H.

[0124] The processed token ratio data 620 is created for each processed token 570H and includes the total fuel material amount, the power generation ratio, the heat generation ratio, and the GHG amount ratio for each processed token. Of course, other data may also be included as appropriate. The total fuel material amount by processing token is the storage amount 575 of the processing token 570H. The power generation ratio, heat generation ratio, and GHG generation ratio are the ratio of the total fuel material amount by processing token to the total amount of fuel material used (the sum of the storage amount 575 of all processing tokens 570H).

[0125] The accumulated token ratio data 622 is created for each accumulated token 540H and includes the total fuel material amount, the power generation ratio, the heat generation ratio, and the GHG amount ratio for each accumulated token. Of course, other data may also be included as appropriate. The total fuel material amount by stored token is the partition storage amount 545 of the storage token 540H. The power generation ratio, heat generation ratio, and GHG ratio are the ratios of the total fuel material amount by stored token to the total amount of fuel material used.

[0126] The acquired token ratio data 624 is created for each acquired token 510H and includes the total fuel material amount, the power generation ratio, the heat generation ratio, and the GHG amount ratio for each acquired token. Of course, other data may also be included as appropriate. The total fuel material amount per acquired token is the acquired weight 515 of the acquired token 510H. The power generation ratio, heat generation ratio, and GHG ratio are the ratios of the total fuel material amount per accumulated token to the total amount of fuel material used.

[0127] The authenticity proof information 626 is data for proving the integrity and authenticity of the data included in the power generation token 610 and the power generation token 610. For example, the authenticity proof information 626 may be a hash value generated by using the token ID 611, the power generation related data 614, the processed token 570H, the processed token ratio data 620, the accumulated token ratio data 622, and the acquired token ratio data 624 as targets for authenticity proof. Alternatively, the authenticity proof information 626 may be a time stamp, a digital signature, an NFT, or the like. The authenticity proof information 626 is updated every time the target for authenticity proof is updated.

[0128] The moisture content 628 is set to the moisture content measured immediately before the fuel material related to the token is used for power generation.

[0129] FIG. 12 is a diagram for explaining the additional token. The additional token is an auxiliary token for adding or updating the transportation-related data 516 of the acquired token 510 (see FIG. 4), the transportation-related data 550 of the accumulated token 540 (see FIG. 7), and the processing-related data 584 and transportation-related data 586 of the processing token 570 (see FIG. 9).

[0130] FIG. 12 shows a fuel consumption token 650 for adding or changing the transportation related data 516 (see FIG. 4) of the acquisition token 510. At the logging site 10, a tanker truck 17 arrives after the end of the day to refuel the harvester 13, the timber transport truck 15, the portable fuel tank 18 for the chainsaw 12, and other equipment used in the logging. Then, at the logging site 10, a fuel consumption token 650 is created at the acquisition terminal 1100 each time refueling is completed. However, the objects to be refueled are not limited to these. For example, heavy machinery used to construct pits, forest roads, and forest work roads, and high-performance forestry machinery other than the harvester 13 (for example, forwarders, yarders, skidders, etc.) are also included as appropriate.

[0131] The fuel economy token 650 includes, for example, a token ID 651, a use purpose 652, a fuel type 653, a fuel supply amount 655, and an application flag 657. Of course, data other than these may also be included as appropriate.

[0132] The purpose of use 652 indicates the purpose of use of the fuel of the fuel consumption token, either transportation-related or processing-related.

[0133] The application flag 657 indicates whether the fuel consumption token has been applied to an existing token. The initial value is "0 (= not applied)", and when the acquired token 510 etc. is changed based on the fuel consumption token 650, it is changed to "1 (= applied)".

[0134] FIG. 13 is a diagram showing an example of an input screen for generating fuel economy tokens 650. As shown in FIG. When the acquisition terminal 1100 detects an input of a predetermined fuel economy token generation operation, the acquisition terminal 1100 displays an input screen W4. The input screen W4 includes a usage purpose input section 60, a fuel type input section 61, a fuel supply amount input section 62, and a generation execution operation icon 64.

[0135] When the intended use input section 60 is touched, selection fields such as transportation-related, processing-related, etc. are displayed, and the user selects one of them.

[0136] When the fuel type input section 61 is touched, selection boxes such as kerosene, diesel, gasoline, heavy oil, alcohol, electricity, hydrogen, synthetic fuel, etc. are displayed, and the user selects one of them.

[0137] The fuel supply amount input section 62 includes a plurality of numerical value input dials 65 and a unit display section 66. A numerical value input dial 65 is provided for each digit, and the numerical value can be changed by touching and flicking up and down. The unit display section 66 automatically displays the unit according to the type input in the fuel type input section 61.

[0138] When the user touches the generation execution operation icon 64, the acquisition terminal 1100 starts generating a fuel efficiency token 650 based on the input results on the input screen W4.

[0139] FIG. 14 is a diagram for explaining a change in the acquired tokens 510 based on the fuel efficiency tokens 650. As shown in FIG.

[0140] When there is an unapplied fuel economy token 650 with the use purpose 652 of “transportation related”, the acquisition terminal 1100 selects an applicable token from among the stored acquisition tokens 510. The applicable acquisition token 510 is a token whose generation date / time (generation date / time included in the token ID 511) is between the generation date / time of the unapplied fuel economy token 650 and the generation date / time of the most recent applied fuel economy token 650.

[0141] The acquisition terminal 1100 changes the fuel efficiency data 518 (see FIG. 4) of the acquired token 510 to be applied based on the unapplied fuel efficiency token 650. Specifically, the fuel efficiency data 518 is searched for data that matches the fuel type indicated by the fuel efficiency token 650, and the consumption amount is changed to the actual consumption amount. The actual consumption amount is the value obtained by dividing the amount of fuel refueling indicated by the fuel efficiency token 650 by the number of acquired tokens 510 to be applied. The example in FIG. 14 shows that the fuel efficiency data 518 for the fuel type "diesel" has been changed. Furthermore, the acquisition terminal 1100 changes the update request flag 520 of the acquisition token 510 to be applied to "1 (=update required)".

[0142] Furthermore, when the acquisition terminal 1100 applies the unapplied fuel efficiency tokens 650 to all applicable tokens, it changes the application flag 657 (see FIG. 12) of the fuel efficiency token to "1 (=applied)." In the following description, the state in which the flag is set to "1" will be referred to as "the flag is set" or "the flag is set."

[0143] FIG. 15 is a diagram for explaining the update of the accumulation token 540. As shown in FIG. When the acquisition terminal 1100 communicates with the storage terminal 1200 at the lumber yard 20, it transmits the acquisition token 510 with the update request flag 520 set to the storage terminal 1200, and resets the update request flag 520 of the acquisition token 510 with the flag set to "0."

[0144] When the accumulation terminal 1200 receives the acquisition token 510 with the flag set, it updates the acquisition token 510T included in the stored accumulation token 540 (see FIG. 7) with the received acquisition token 510 with the flag set. It also changes the update request flag 556 of the accumulation token 540 to "1 (=update required)" to set the flag.

[0145] When the storage terminal 1200 finds a storage token 540 with a flag set, it transmits the storage token 540 to the processing terminal 1300 and resets the update request flag 556 of the storage token 540 to "0 (=no update required)."

[0146] FIG. 16 is a diagram for explaining the update of the processing token 570. As shown in FIG. When the processing terminal 1300 receives the flagged accumulation token 540, it searches for an accumulation token 540K with the same token ID 541 as the flagged accumulation token 540 among the accumulation tokens 540K stored in the stored processing token 570 (see FIG. 9). Then, it overwrites and saves the searched accumulation token 540K with the flagged accumulation token 540. It also changes the update request flag 590 of the processing token 570 to "1 (= update required)" to set the flag.

[0147] When the processing terminal 1300 finds a processing token 570 with a flag set, it transmits this to the power generation terminal 1400 and resets the update request flag 590 of the processing token 570 to "0 (=no update required)".

[0148] FIG. 17 is a diagram for explaining the update of the power generation token 610. As shown in FIG. When the power generation terminal 1400 receives a flagged processed token 570, it searches for a processed token 570H with the same token ID 571 as the flagged processed token 570 among the processed tokens 570H stored in the stored power generation token 610 (see Figure 11), and updates it with the flagged processed token 570.

[0149] The fuel efficiency data 554 (see FIG. 7) of the accumulated tokens 540 is updated in the same manner as the fuel efficiency data 518 of the acquired tokens 510 is updated. That is, when the accumulation terminal 1200 detects input of a predetermined fuel economy token generation operation, it displays the input screen W4 (see FIG. 13) to accept input of the amount of fuel refueled, etc., and creates a fuel economy token. It then searches for the applicable accumulation tokens 540, updates their fuel economy data 554, and sets the update request flag 556 to "1 (= update required)".

[0150] The flagged accumulated token 540 is sent to the processing terminal 1300, where the accumulated token 540K is changed, and a flagged processed token 570 is generated (see FIG. 16). The flagged processed token 570 is sent to the power generation terminal 1400, where the processed token 570H is changed (see FIG. 17).

[0151] The processing related data 584 of the processing token 570 (see FIG. 9) is also updated in the same manner as the updating of the fuel efficiency data 518 of the acquired token 510. That is, when the accumulation terminal 1200 detects input of a predetermined fuel economy token generation operation, it displays the input screen W4 (see FIG. 13) and accepts input of the amount of fuel refueled, etc. At this time, the user sets the use purpose input section 60 to “processing related.”

[0152] The accumulation terminal 1200 creates a fuel consumption token and searches for the accumulation token 540 to which it is to be applied. Then, it updates the processing related data 584 and sets the update request flag 590 to "1 (= update required)". The processing token 570 with the flag set is transmitted to the power generation terminal 1400, and the processing token 570H is changed (see FIG. 17).

[0153] The fuel efficiency data 588 (see FIG. 9) of the processed token 570 is updated in the same manner as the fuel efficiency data 518 of the acquired token 510 is updated. That is, when the processing terminal 1300 detects input of a predetermined fuel economy token generation operation, it displays the input screen W4 (see FIG. 13) and accepts input of the amount of fuel refueled, etc. At this time, the user sets the use purpose input section 60 to “processing related.”

[0154] The processing terminal 1300 creates a fuel consumption token and searches for the processing token 570 to which it is to be applied. Then, it updates the fuel consumption data 588 of the token and sets the update request flag 590 to "1 (= update required)". The processing token 570 with the flag set is transmitted to the power generation terminal 1400, and the processing token 570H is changed (see FIG. 17).

[0155] As a result of the above, the acquisition terminal 1100 will hold and manage emission-related data related to GHG emissions, such as acquisition tokens 510, the accumulation terminal 1200 will hold and manage accumulation tokens 540, the processing terminal 1300 will hold and manage processing tokens 570, and the power generation terminal 1400 will hold and manage power generation tokens 610.

[0156] The emission management system 1000 is configured to be able to search for these emission-related data and output the search results. Specifically, when the acquisition terminal 1100, the storage terminal 1200, and the processing terminal 1300 detect input of a predetermined search operation, they each display a search screen W6 shown in FIG.

[0157] The search screen W6 has a search condition input section 72 and a search execution operation icon 74. The search condition input unit 72 has, for example, a target person condition input unit 72a, a period condition input unit 72b, an emission amount condition input unit 72c, an electricity generation amount condition input unit 72d, a heat generation amount condition input unit 72e, and a token ID input unit 72f. The initial value of each input unit / designation unit is "undefined (no condition)". The input items of the search condition input unit 72 are not limited to these and can be set appropriately. For example, the accumulation environment, moisture content, etc. can also be included in the search items. In that case, by appropriately setting the search conditions, the three relationships of the accumulation environment, moisture content, and electricity generation / heat generation can be detected and output, and these three relationships can be analyzed after the fact.

[0158] The target condition input unit 72a accepts a selection operation input of either "by processor," "by accumulator," or "by acquirer." In other words, it accepts a selection of the type of token to be searched. The period condition input section 72b accepts an input operation for specifying a date and time range to be added to the search conditions. The emission condition input unit 72c receives an input for specifying the range of GHG emission amounts to be added to the search conditions.

[0159] The power generation amount condition input section 72d receives an input for specifying a range of the power generation amount to be added to the search conditions. The heat generation amount condition input section 72e receives an input for specifying a range of the heat generation amount to be added to the search conditions. The token ID input section 72f is used to input a specific token ID. By touching a desired input section or designation section, the user can display a selection pop-up or software keyboard to input or designate an item.

[0160] The search conditions are not limited to the target person, period, emission amount, power generation amount, and heat generation amount, and can be added or deleted as appropriate. For example, the search conditions may include geographical conditions, transportation distance conditions, fuel type conditions, and fuel consumption amount conditions.

[0161] The acquisition terminal 1100, the storage terminal 1200, and the processing terminal 1300 transmit a search request to the power generation terminal 1400 together with the search conditions set on the search screen W6. The power generation terminal 1400 performs a search process by applying the received search conditions to the power generation token 610, and returns the search results to the terminal that sent the search request. The acquisition terminal 1100, the storage terminal 1200, and the processing terminal 1300, which have received the search results, display the search results on their screens.

[0162] A search server may be provided to sequentially copy and store the power generation tokens 610 of the power generation terminal 1400, and a search request may be sent to the search server, which then performs the search process. For example, the search server may have a website management function, accept searches on the website, and display search results on the website.

[0163] 19 and 20 are flowcharts for explaining the flow of processing in the acquisition terminal 1100. FIG. When the acquisition terminal 1100 detects input of a predetermined acquisition token generation operation (YES in step S110), it displays an input screen W2 (see FIG. 5) and accepts input of the acquisition location name, etc. (step S112). Next, it acquires the latitude and longitude of the current position (step S114), and generates and stores a new acquisition token 510 (step S116).

[0164] When the acquisition terminal 1100 detects an input of a predetermined fuel efficiency token generation operation (YES in step S120), it displays an input screen W4 (see FIG. 13) and accepts input of the fuel type and consumption amount (step S122). Then, it generates and stores an unapplied fuel efficiency token 650 with the application flag 657 set to "0" (step S124).

[0165] If there is an unapplied fuel economy token 650 (YES in step S130), the acquisition terminal 1100 searches for an applicable token among the existing acquisition tokens 510 (step S132; see FIG. 14). Then, the acquisition terminal 1100 updates the fuel economy data 518 of the applicable acquisition token 510 based on the fuel economy token 650, and changes the update request flag to "1" (step S134). In addition, the acquisition terminal 1100 changes the application flag 657 of the unapplied fuel economy token 650 detected in step S40 (see FIG. 12) to "1 (=applied)" (step S136).

[0166] Turning now to FIG. 20, when the acquisition terminal 1100 arrives at the lumber yard 20 , carried by a transport user driving a lumber transport truck 15 , it enters the communication range of the entrance wireless set 1222 and establishes communication with the storage terminal 1200 .

[0167] When communication is established (YES in step S140), the acquisition terminal 1100 receives from the storage terminal 1200 the section designation information of the section 22 to be the storage destination (unloading destination) (step S142), and displays the received section designation information (step S144).Then, the acquisition terminal 1100 measures the current position and acquires the storage position latitude and longitude (step S146).

[0168] Moving on to FIG. 20, the acquisition terminal 1100 launches a map application, inputs the acquisition location latitude and longitude included in the acquisition source information 513 (see FIG. 4) of the acquisition token 510 as the starting location and the accumulation location latitude and longitude as the ending location into the map application, and obtains the travel distance from the starting location to the ending location (step S148).

[0169] Next, the acquisition terminal 1100 displays a predetermined input screen and accepts the selection input of the unloading type for this delivery (step S150). The transport user selects and inputs "all" when unloading all of the plant-based raw materials 14 loaded on the timber transport truck 15, and selects and inputs "partial" when unloading only a portion of the plant-based raw materials 14 and planning to unload it at another lumber yard 20 as well.

[0170] When the input unloading mode is "partial" ("partial" in step S152), the acquisition terminal 1100 copies and generates a new acquisition token 510 based on the latest unsent acquisition token 510 (step S154). Specifically, the token ID 511 of the copied acquisition token 510 is different from the original acquisition token 510. For example, the latest unsent acquisition token 510 is copied, and part of the token ID 511 of the newly generated acquisition token 510 is changed to a value indicating copying (for example, by changing the unique value).

[0171] Next, the acquisition terminal 1100 updates the transportation distance 517 of the acquired token 510 whose transportation date and time 522 indicates that it has not been transmitted (for example, NULL), and updates the transportation date and time 522 to the current date and time 900 to indicate that it has been transmitted (step S156). Note that, if the acquired token 510 was duplicated in step S154, the acquisition terminal 1100 updates the transportation distance 517 of the duplicated acquired token 510 to indicate that it has been transmitted.

[0172] Then, the acquisition terminal 1100 transmits the acquisition token 510 to the storage terminal 1200 (step S158).

[0173] When communication with the storage terminal 1200 is established, if the acquisition terminal 1100 has an acquisition token 510 with an update request flag 520 set to "1" (YES in step S170), it transmits the acquisition token 510 to the storage terminal 1200 (step S172) and resets the update request flag 520 of the token to "0 (= no update required)" (step S174).

[0174] When the timber transport truck 15 leaves the entrance weigher 1220 and heads to the designated section 22 , the acquisition terminal 1100 is out of the communication range of the entrance wireless device 1222 . The timber transport truck 15 unloaded at the lumber yard 20 is loaded onto the exit weigher 1224. At that time, the acquisition terminal 1100 enters the communication range of the exit wireless device 1226, and communication with the storage terminal 1200 is established again.

[0175] When the acquisition terminal 1100 receives an acquisition token 510 whose acquisition weight 515 has been changed from the initial value to the actual weight (the difference between the entrance weight and the exit weight) from the accumulation terminal 1200 (YES in step S180), it overwrites the acquisition weight 515 of the original acquisition token 510 having the same token ID 511 with the acquisition weight 515 of the received acquisition token 510 (step S182).

[0176] When the acquisition terminal 1100 detects the input of a search operation (YES in step S190), it displays a search screen W6 (see FIG. 18) and accepts the input of search conditions (step S192). Then, it transmits a search request to the power generation terminal 1400 together with the search conditions set on the search screen W6 (step S194).

[0177] The power generation terminal 1400 that has received the search request performs a search process by applying the received search conditions to the power generation token 610, and returns the search results to the terminal that sent the search request. The acquisition terminal 1100 receives and displays the search results (step S196).

[0178] 21 to 23 are flowcharts for explaining the flow of processing in the storage terminal 1200. It is assumed that a storage token 540 corresponding to each section 22 is prepared.

[0179] When the storage terminal 1200 establishes communication with the acquisition terminal 1100 via the entrance radio 1222 (YES in step S200), it selects a section 22 that has space available for unloading (step S202) and transmits designated section information specifying the section 22 to the acquisition terminal 1100 (step S204).

[0180] When the accumulation terminal 1200 receives a new acquisition token 510 from the acquisition terminal 1100 (YES in step S206), it adds the new acquisition token 510T to the accumulation token 540 of the specified section 22 (step S208). Then, it acquires and temporarily stores the entrance weighing value from the entrance weighing machine 1220 (step S210).

[0181] When the accumulation terminal 1200 establishes communication with the acquisition terminal 1100 via the exit wireless device 1226 (YES in step S212), it acquires the weighing value from the exit weighing machine 1224 (step S214) and calculates the actual weight of the delivered goods (step S216).

[0182] The accumulation terminal 1200 updates the acquired weight 515 of the newly acquired token 510 received in step S110 to the calculated actual weight (step S218), and updates the acquired token ratio data 547 (see FIG. 7) (step S220).

[0183] Next, the accumulation terminal 1200 transmits the acquired token 510, in which the acquired weight 515 has been changed to the actual weight in step S126, as feedback to the acquisition terminal 1100 (step S224).

[0184] 22, the storage terminal 1200 judges whether or not a predetermined export section input operation has been performed. The export section input operation is an operation performed by the user in association with export to the processing plant 30, and is an operation of inputting the section ID 543 of the section 22 exported to the processing plant 30.

[0185] If an output section input operation is performed (YES in step S230), the storage terminal 1200 changes the usage date and time 558 (see FIG. 7) of the storage token 540 of the input section ID to the current date and time 900 and sets it to "used" (step S232), creates the latest storage environment data 548 for the storage token 540 of the input section ID, and transmits it to the processing terminal 1300 (step S234). Then, a new storage token 540 of the input section ID is generated (step S236).

[0186] The accumulation terminal 1200 may receive an acquisition token 510 with a flag set when communication is established with the acquisition terminal 1100 via the entrance wireless device 1222 (YES in step S240). The acquisition token 510 includes, as update data, the transportation related data 516 in which the consumption amount value related to the fuel consumption data 518 has been updated to the actual consumption amount, which is the actual consumption amount.

[0187] In this case (YES in step S242), the accumulation terminal 1200 searches for an acquisition token 510T having the same token ID 511 as the received acquisition token 510, and overwrites and saves it with the received acquisition token 510 with the flag set (step S244). Alternatively, the consumption amount of the fuel efficiency data 518 of the acquisition token 510T having the same token ID 511 may be changed to the consumption amount of the fuel efficiency data 518 of the acquisition token 510 with the flag set.

[0188] Then, the accumulation terminal 1200 changes the update request flag 556 (see FIG. 7) of the accumulation token 540 including the acquired token 510T whose fuel efficiency data 518 has been changed to "1 (=update required)" (step S246).

[0189] When the accumulation terminal 1200 detects the input of a predetermined fuel efficiency token generation operation (YES in step S250), it displays the input screen W4 (see FIG. 13) and accepts the input of the fuel type and consumption amount (step S252). Then, it generates and stores an unapplied fuel efficiency token 650 with the application flag 657 set to "0" (step S254).

[0190] 23, when there is an unapplied fuel economy token 650 (YES in step S256), the accumulation terminal 1200 searches for an applicable one among the existing accumulation tokens 540 (step S258). Then, the accumulation terminal 1200 updates the fuel economy data 554 of the applicable accumulation token 540 based on the fuel economy token 650, and changes the update request flag 556 to "1" (step S260). In addition, the application flag 657 of the unapplied fuel economy token 650 is changed to "1 (=applied)" (step S262).

[0191] If there is an accumulation token 540 with the update request flag 556 set to "1" (YES in step S270), the accumulation terminal 1200 transmits the accumulation token 540 to the processing terminal 1300 (step S272) and resets the update request flag 556 to "0" (step S274).

[0192] When the storage terminal 1200 detects the input of a search operation (YES in step S280), it displays the search screen W6 (see FIG. 18) and accepts the input of search conditions (step S282). Then, it transmits a search request to the power generation terminal 1400 together with the search conditions set on the search screen W6 (step S284).

[0193] The power generation terminal 1400 that has received the search request performs a search process by applying the received search conditions to the power generation token 610, and returns the search results to the terminal that sent the search request. The storage terminal 1200 displays the received search results (step S286).

[0194] 24 and 25 are flow charts for explaining the flow of processing in the processing terminal 1300. Note that a processing token 570 corresponding to each small silo 32 is prepared.

[0195] When the processing terminal 1300 receives a new accumulated token 540 from the storage terminal 1200 (YES in step S310), it adds the received new accumulated token 540 to the processed token 570 in the filling destination silo whose usage date and time 592 remains the initial value (e.g., NULL) (step S312).Then, it updates the storage amount 575 of the processed token 570 (see FIG. 9) (step S314) and updates the accumulated token ratio data 577 (step S316).

[0196] When the filling destination silo ID 567 (see FIG. 8) is changed (YES in step S320), a new processing token 570 corresponding to the small silo 32 indicated by the changed filling destination silo ID 567 is created (step S322).

[0197] The processing terminal 1300 judges whether or not a predetermined discharge silo input operation has been performed. The discharge silo input operation is an operation performed when the user discharges the fuel material stored in the small silo 32 to the biomass power plant 40, and is an operation for inputting the identification information (silo ID) of the discharged small silo 32.

[0198] When an output silo input operation is performed (YES in step S330), the processing terminal 1300 changes the usage date and time 592 (see FIG. 9) of the processing token 570 for the output small silo 32 to the current date and time 900 (step S332).

[0199] Then, the processing token 570 of the small silo 32 that was carried out is transmitted to the power generation terminal 1400 (step S334), and a new processing token 570 of the small silo 32 that was carried out is generated (step S336).

[0200] When the processing terminal 1300 receives a flagged storage token 540 (update request flag 556 = 1) from the storage terminal 1200 (YES in step S340), it searches for an existing storage token 540K that has the same token ID 541 as the received storage token 540, and overwrites and saves the received storage token 540 with the flag set (step S342).

[0201] 25, when the processing terminal 1300 detects the input of a predetermined fuel efficiency token generation operation (YES in step S350), it displays the input screen W4 (see FIG. 13) and accepts the input of the fuel type and consumption amount (step S352). Then, it generates and stores an unapplied fuel efficiency token 650 with the application flag 657 set to "0" (step S354).

[0202] If there is an unapplied fuel efficiency token 650 (YES in step S360), the processing terminal 1300 searches for an applicable one among the existing processing tokens 570 (step S362). Then, the processing terminal 1300 updates the fuel efficiency data 588 of the applicable processing token 570 (see FIG. 9) based on the applicable fuel efficiency token 650, and changes the update request flag 590 to "1" (step S364). In addition, the application flag 657 of the unapplied fuel efficiency token 650 is changed to "1 (applied)" (step S366).

[0203] If there is a processing token 570 with the update request flag 590 set to "1" (YES in step S370), the processing terminal 1300 transmits the processing token 570 to the power generation terminal 1400 (step S372) and resets the update request flag 590 to "0" (step S374).

[0204] When the processing terminal 1300 detects the input of a search operation (YES in step S380), it displays the search screen W6 (see FIG. 18) and accepts the input of search conditions (step S382).

[0205] The processing terminal 1300 transmits a search request to the power generation terminal 1400 together with the search conditions set on the search screen W6 (step S384).

[0206] The power generation terminal 1400 that has received the search request performs a search process by applying the received search conditions to the power generation token 610, and returns the search results to the terminal that sent the search request. The processing terminal 1300 receives the search results and displays them (step S386).

[0207] FIG. 26 is a flowchart for explaining the flow of processing in the power generation terminal 1400. When the power generation terminal 1400 receives a new processed token 570 from the processing terminal 1300 (YES in step S400), it adds the received processed token 570 to the power generation token 610 (step S402). Then, it updates the power generation related data 614 (step S404), and updates the processed token ratio data 620, the accumulated token ratio data 622, and the acquired token ratio data 624 (step S406).

[0208] When the power generation terminal 1400 receives a processing token 570 with a flag set from the processing terminal 1300 (YES in step S410), it searches for a power generation token 610 that includes a processing token 570H that matches the token ID 571 of the received processing token 570, and overwrites and saves the processing token 570H with the flag set (step S412).

[0209] Next, the power generation terminal 1400 updates the power generation related data 614 of the searched power generation token 610 (step S414), and updates the processed token ratio data 620, the accumulated token ratio data 622, and the acquired token ratio data 624 (step S416).

[0210] When the power generation terminal 1400 receives a search request and search condition information from another terminal (YES in step S420), it executes a search process applying the received search conditions with the power generation token 610 as the data to be searched, and returns the search results to the terminal that made the request (step S424).

[0211] As described above, according to the present embodiment, it is possible to provide a technology for realizing a system suitable for collecting and using greenhouse gas (GHG) emission-related data related to the supply chain of plant biomass. The use of the emission-related data is, for example, to devise measures to reduce greenhouse gases and to consider and verify the reduction measures.

[0212] In the emission management system 1000, tokens are generated for each phase of the plant biomass supply chain, namely, acquisition, storage, processing, and power generation, for a predetermined unit in each phase. Each token contains data related to the greenhouse gas emission amount for the corresponding unit.

[0213] Looking more closely, various loggers may deliver to different lumberyards 20, but because an acquisition token 510 is created for each lumber transport truck 15, the acquisition token 510 can be included and inherited by the accumulation token 540 regardless of which lumberyard 20 the lumber is delivered to. Even if one lumber transport truck 15 delivers and unloads lumber to multiple lumberyards 20 separately, it can leave an acquisition token 510 at each of them.

[0214] Plant-based raw materials 14 can be delivered from various lumber yards 20 to different fuel processing plants 30, and an accumulation token 540 is created for each section of the section 22 and provided to the processing terminal 1300 at the receiving location, so that the accumulation token 540 can be included and inherited in the processing token 570.

[0215] Fuel materials can be transported from various processing plants 30 to different biomass power plants 40, and a processing token 570 is created for each small silo 32's worth of fuel materials and provided to the power generation terminal 1400 at the destination, so that the processing token 570 can be included and inherited in the power generation token 610.

[0216] Therefore, the emission management system 1000 can perform various searches based on each token and display the search results on the acquisition terminal 1100, the storage terminal 1200, and the processing terminal 1300. Each of the business operators in charge of the plant biomass supply chain, that is, the acquirer, the storer, the processor, and the power generator, can know and correctly evaluate their own degree of influence on greenhouse gas emissions in the entire supply chain, and can think of new attempts to reduce emissions.

[0217] Furthermore, the sites where plant biomass is harvested are in the mountains, fields, farms, etc., which are very dusty and require a lot of movement during work. It is not suitable for indoor operations such as inputting data for the acquisition token 510 at a personal computer installed on a desk, and going to an office (or a prefabricated building in a construction site) every time to input data into a terminal increases the workload. However, with the emission management system 1000, the user can create the acquisition token 510 with simple operations on the acquisition terminal 1100 that is portable, so the system can be realized with a small workload. It has been realized in consideration of the unique working environment at plant biomass harvesting sites.

[0218] In addition, the transfer of the acquired token 510 associated with the movement of the plant-based raw material 14 from the acquisition location (the felling site 10) to the storage location (the lumberyard 20) is also performed automatically. The transport user does not need to get off the timber transport truck 15 and go to the reception desk of the storage location office or the like to hand over or input the acquired token 510.

[0219] The emission management system 1000 also generates an additional token (fuel consumption token 650) including information to be added or changed to the existing tokens (acquired token 510, accumulated token 540, processed token 570), and changes or updates the existing tokens based on the additional token. It also passes the changed or updated token to a downstream terminal in the supply chain, and reflects the token passed from the upstream side of the supply chain in the existing token.

[0220] The function of generating additional tokens corresponds to steps S120 to S124 (see FIG. 19) in the acquisition terminal 1100, steps S250 to S254 (see FIG. 22) in the storage terminal 1200, and steps S350 to S354 (see FIG. 25) in the processing terminal 1300.

[0221] The function of updating the token corresponds to steps S130 to S136 (see FIG. 19) in the acquisition terminal 1100, steps S256 to S262 (see FIG. 23) in the storage terminal 1200, and steps S360 to S366 (see FIG. 25) in the processing terminal 1300.

[0222] The function of inheriting tokens corresponds to steps S170 to S174 (see FIG. 20) in the acquisition terminal 1100, steps S270 to S274 (see FIG. 23) in the storage terminal 1200, and steps S370 to S374 (see FIG. 25) in the processing terminal 1300.

[0223] The function of reflecting the inherited token corresponds to steps S180 to S182 (see FIG. 20) in the acquisition terminal 1100, steps S242 to S246 (see FIG. 22) in the storage terminal 1200, and steps S340 to S342 (see FIG. 24) in the processing terminal 1300.

[0224] Therefore, it becomes possible to change / update and confirm information that cannot be determined at the time of generating the acquisition token 510, the accumulation token 540, and the processing token 570 at a later date. Therefore, it is possible to more accurately calculate greenhouse gas emissions and appropriately manage correct information.

[0225] In addition, the acquisition token 510, the accumulation token 540, the processing token 570, and the power generation token 610 each contain authenticity proof information. Therefore, the biomass power generation and its supply chain that are the subject of the emission management system 1000 can meet the requirements for various certifications (e.g., FIT certification, carbon credit certification, etc.) that require a guarantee of data authenticity.

[0226] [Modifications] Although examples of embodiments to which the present invention is applied have been described above, the forms to which the present invention can be applied are not limited to the above-described forms, and components can be added, omitted, or modified as appropriate.

[0227] (Variation 1) In the supply chain configuration of the above embodiment, a transportation phase may be added between the lumber yard 20, the processing plant 30, and the biomass power plant 40.

[0228] 27, a transportation phase may be added in which the plant-based raw material 14 is transported from the lumber yard 20 to the processing plant 30 by a wood transport truck 15B. When realizing this configuration, the mechanism for handing over the acquisition token 510 relating to the transportation from the felling site 10 to the lumber yard 20 can be utilized.

[0229] Specifically, a transport user of the lumber transport truck 15B carries a transport terminal 1500. The transport terminal 1500 receives and stores the accumulation token 540 of the section 22 that is transported from the accumulation terminal 1200 via the exit wireless device 1226 at the time of transport.

[0230] The processing plant 30 is equipped with an entrance radio 1322 (corresponding to the entrance radio 1222) and acquires the accumulated tokens 540 of the plant-based raw materials 14 brought in from the transport terminal 1500 of the timber transport truck 15B that arrives for delivery.

[0231] The function of the transport terminal 1500 may be realized as an additional function of the acquisition terminal 1100. Since N acquisition units of plant-based raw materials 14 are stored in the section 22, multiple transports are required by the wood transport truck 15B to bring one section to the processing plant 30, and each time, an accumulation token 540 is transmitted from the transport terminal 1500 to the accumulation terminal 1200. The accumulation terminal 1200 refers to the token ID 511 of the received accumulation token 540, and if there is an accumulation token 540 with the same token ID in the processing token 570, it overwrites it with the newly received accumulation token 540 each time.

[0232] Similarly, as shown in FIG. 28, a transportation phase may be added in which the plant-based raw material 14 is transported from the processing plant 30 to the biomass power plant 40 by a wood transport truck 15C. Specifically, a transport user of the lumber transport truck 15C carries a transport terminal 1500C. The transport terminal 1500C receives and stores the processing token 570 of the small silo 32 that is transported from the processing terminal 1300 via the exit wireless device 1326 at the time of transport.

[0233] The biomass power plant 40 is equipped with an entrance wireless device 1422 (corresponding to the entrance wireless device 1222), and acquires the processing token 570 of the fuel material brought in from the transport terminal 1500C of the wood transport truck 15C that has come to bring it in. The function of the transport terminal 1500C may be realized as an additional function of the acquisition terminal 1100.

[0234] (Variation 2) In addition, the number of acquisition locations (logging sites 10 in Figure 2), storage locations (lumber yard 20 in Figure 2), processing locations into final fuel form (processing plant 30 in Figure 2), and biomass power plants 40 included in one supply chain can be set as appropriate.

[0235] (Variation 3) In addition, although each of the acquisition, storage, processing, and power generation phases in the above embodiment is illustrated as a single-stage phase (see FIG. 2), this is not limiting. Each of the acquisition, storage, processing, and power generation phases may have multiple sub-phases, and terminals corresponding to the acquisition terminal 1100, storage terminal 1200, processing terminal 1300, and power generation terminal 1400 may be prepared according to the contents of the sub-phase.

[0236] Specifically, the acquisition phase may be a multi-stage configuration having a first sub-phase in which raw materials are cut and harvested, and a second sub-phase in which a primary processed product with improved quality retention, transportability, and storability is produced from the raw materials. In this configuration, in light of the above embodiment, the acquisition terminal 1100 is prepared in the second sub-phase. Alternatively, a terminal equivalent to the acquisition terminal 1100 is prepared in the first sub-phase, and a processing terminal 1300 is prepared in the second sub-phase.

[0237] The storage phase may be a multi-stage configuration including a first sub-phase of a small lumber yard 20 and a second sub-phase of accumulating lumber from a plurality of small lumber yard 20 for transport by rail or ship. In this configuration, in light of the above embodiment, a storage terminal 1200 is provided for each sub-phase. A storage terminal 1200 may be provided for each of these sub-phases.

[0238] Furthermore, in the case where the plant-based raw materials 14 accumulated in the second sub-phase are transported collectively by sea or rail, the transport ship or freight train may be regarded as the third sub-phase (corresponding to the storage facility 20 in the above embodiment). The third sub-phase is suitable when the supply chain includes the import of the plant-based raw materials 14 from overseas.

[0239] (Variation 4) The emission management system 1000 of the above embodiment can also be applied to emission management in heat sources, transportation means, and the like that use biomass fuels whose final use is other than biomass power generation.

[0240] (Variation 5) In the above embodiment, the accumulation terminal 1200 can subsequently update the acquisition token 510T included in the accumulation token 540 with the update data. That is, the accumulation terminal 1200 obtains the "flagged acquisition token 510" including the transportation-related data 516 with the updated fuel consumption data 518 as update data from the acquisition terminal 1100 (see step S242 in FIG. 22), and updates the acquisition token 510T of the same token ID included in the accumulation token 540 by overwriting it with the "flagged acquisition token 510".

[0241] Similarly, when the processing terminal 1300 receives a "flagged storage token", it subsequently updates the storage token 540K included in the processing token 570 with the update data. Similarly, when the power generation terminal 1400 receives a "flagged processing token", it subsequently updates the processing token 570H included in the power generation token 610 with the update data.

[0242] The "update data" referred to here is not limited to the transportation-related data 516 exemplified in the above embodiment, but may include, for example, "acquisition ratio data."

[0243] The acquisition ratio data is data showing the ratio of the plant-based raw material of the acquisition unit to the amount of the original plant obtained on-site (acquired weight 515 in FIG. 4). The amount of the original plant obtained on-site is the amount of the original plant obtained on-site by felling or the like. The entire amount of the original plant obtained on-site may become the plant-based raw material, or only a part of the amount of the original plant obtained on-site may become the plant-based raw material. For example, the amount of the original plant obtained on-site minus the amount used for building materials, furniture, etc., may become the plant-based raw material. The acquisition ratio data is created after the fact by the acquisition terminal 1100 when, for example, a part of the cargo of the wood transport truck 15 is unloaded on the way to the lumber yard 20 or after the lumber yard 20 for use as building materials, furniture, etc.

[0244] When the acquisition terminal 1100 detects a predetermined acquisition ratio input operation, it displays an input screen W8 as shown in Fig. 29. The input screen W8 includes an application date input section 80, an application accumulator code input section 82, a ratio input section 84, and a generation execution operation icon 86.

[0245] The application date input unit 80 receives a designation input as to what time of arrival the acquisition rate input this time is to be applied to.

[0246] The applicable accumulator code input unit 82 receives input specifying the accumulator / lumberyard 20 to which the currently input acquisition rate is applied.

[0247] The percentage input unit 84 accepts a percentage value input by the user. For example, in the case where all of the timber loaded onto the timber transport truck 15 is unloaded at the lumber yard 20, "100%" is input. In the case where a portion of the timber is unloaded for use as lumber on the way to or after the lumber yard 20, that percentage is taken into consideration when inputting the value. In the example of FIG. 29, 20% was unloaded for use as lumber, so the input value is 80%.

[0248] When the generation execution operation icon 86 is operated, the acquisition terminal 1100 generates an acquisition ratio token 526 including the input results (application date, applicable business code, ratio value) on the input screen W8. Then, it adds it to the acquisition token 510 that matches the date specified in the application date input section 80, and sets the update request flag 520 of the acquisition token 510 to "1."

[0249] When the accumulation terminal 1200 receives a "flagged acquisition token 510" with an acquisition ratio token 526 added, if the applicable accumulator code contained in the acquisition ratio token 526 matches its own accumulator code, it overwrites and updates the stored acquisition token 510T with the received flagged acquisition token 510.

[0250] (Variation 6) The above embodiment is similarly applicable to supply chains of plant biomass other than woody biomass. For example, the supply chain for rapeseed as a plant-based raw material14 is as follows: 1) The acquisition phase involves cultivating and harvesting in a field (corresponding to felling site 10 in Figure 2); 2) A storage phase in which the harvested rapeseed is stored in a warehouse (corresponding to lumberyard 20 in Figure 2). 3) a processing phase in which the rapeseed is pressed in a processing plant 30 to produce rapeseed oil as a fuel material; 4) A power generation phase in which rapeseed oil is burned in a biomass power plant 40; However, the above embodiment can be similarly applied.

[0251] For example, the supply chain for sorghum as a plant-based raw material14 is as follows: 1) The acquisition phase, which involves cultivation and harvesting; 2) accumulation phase, 3) A processing phase in which the raw materials are dried and processed into semi-carbonized chips at a processing plant 30; 4) a power generation phase in which the torrefied chips are burned in a biomass power plant 40; However, the above embodiment can be similarly applied.

[0252] The units for each token may be changed depending on the type of plant biomass and the contents of each phase. For example, in the above embodiment, one acquisition unit of the acquired tokens 510 is one wood transport truck 15, and one storage unit is one section of the section 22 of the lumber yard 20, but this is not limited to this. Depending on the size and form (granular, powdery, liquid, etc.) of the plant raw material 14 (or its temporary processed product), one acquisition unit may be, for example, one container. One storage unit may be one warehouse.

[0253] Furthermore, depending on the type of plant biomass and the content of each phase, the type and content of the energy consumption data in each phase may be appropriately changed without being limited to the examples in the above embodiment.

[0254] For example, in the above embodiment, the transportation-related data 516 in the acquisition phase (see FIG. 4), the transportation-related data 550 in the accumulation phase (see FIG. 7), and the transportation-related data 586 in the processing phase (see FIG. 9) are given as examples of energy consumption data, but the present invention is not limited to these. If the contents of the acquisition phase include tree planting, energy consumption data related to the cultivation, management, and transportation of seedlings may be added as data separate from these transportation-related data.

[0255] For example, if the plant biomass is a plant such as rapeseed or sorghum grown in a field, energy consumption data related to field preparation, seedling raising, sowing, actual cultivation, air conditioning for growth management, harvesting, threshing, drying, storage, bagging, etc. may be added as data separate from the transportation-related data. The energy consumption data is added to the token of the phase in which the work is included.

[0256] A token based on the added energy consumption data is created after the fact in the same manner as the fuel efficiency token 650 in the above embodiment (see fuel efficiency token 650 in FIG. 12), and is used to update existing tokens in the same manner as the fuel efficiency token 650 in the above embodiment (see FIGS. 14 to 16).

[0257] (Variation 7) In the above embodiment, the fuel efficiency token 650 is taken as an example of consumed energy data added later, and an example is shown in which part of the data of the acquired token 510, the accumulated token 5400, the processing token 570, and the power generation token 610 is rewritten. However, the handling of the consumed energy data added later is not limited to this example. For example, instead of rewriting part of the data, a configuration may be adopted in which a token of the consumed energy data added later (e.g., the fuel efficiency token 650) is added to the acquired token 510, the accumulated token 540, the processing token 570, and the power generation token 610. [Explanation of symbols]

[0258] 10...Logging site 14…Plant-based raw materials 15…Lumber transport truck 20…Lumberyard 30…Processing plant 40…Biomass power plant 510…Acquired token 516...Transportation related data 540…Accumulated tokens 547…Proportion data by token acquired 550...Transportation related data 570…Processing Token 577…Proportion data by accumulated tokens 584... Processing related data 586...Transportation related data 610…Power generation token 614…Power generation related data 615…Power generation 616…Heat amount 617…GHG amount 620… Processing token ratio data 622…Proportion data by accumulated tokens 624…Proportion data by token acquired 640…Accumulated tokens 650…Fuel economy tokens 1000...Emissions Management System 1100…Terminal for acquisition 1200…Storage terminal 1300... Processing terminal 1400…Power generation terminal 1500…Transport terminal

Claims

1. An emissions management system that manages data on greenhouse gas emissions related to a supply chain including production, transportation, and processing of fuel for power generation using plant biomass and / or emissions-related data that is data for calculating the emissions, comprising: an acquisition token management means for managing the emission-related data relating to the acquisition of a specific plant that is the source of the plant biomass or a plant-based raw material that is a primary processed product of the plant, as an acquisition token for each acquisition unit that is a unit of the plant-based raw material; an accumulation token management means for accumulating data on the accumulation of N (N≧1) pieces of the plant-based raw materials of the acquisition unit as one accumulation unit, and managing the data as an accumulation token for each accumulation unit; a processing token management means for managing the emission-related data relating to a processing process in which a fuel material of one processing process unit is produced by processing M (M≧1) pieces of the plant-based raw material of the storage unit as a processing token for each processing process unit; a power generation token management means for managing, as a power generation token for each power generation unit, power generation-related data, which is data on the amount of power generated and / or the amount of heat generated, obtained by performing biomass power generation using L (L≧1) pieces of the fuel material of the processing units; Equipped with The accumulation token management means manages data of the acquisition token corresponding to the N acquisition units included in the accumulation unit related to the accumulation token by including the data of the acquisition token in the accumulation token, The processing token management means manages data of the accumulation token corresponding to M accumulation units included in the processing processing unit related to the processing token by including the data of the accumulation token in the processing token, The power generation token management means manages data of the processing token corresponding to the L processing units included in the power generation unit related to the power generation token by including the data of the processing token in the power generation token. Emissions management system.

2. Each of the acquisition token, the storage token, the processing token, and the power generation token includes identification information for identifying the token, a search control means for searching for and outputting the emission-related data and the power generation-related data related to a token of the identification information and / or a token included in the token, based on the identification information; The emissions management system of claim 1 further comprising:

3. The accumulation token includes data on the ratio of the plant-based raw material included in the accumulation unit of the accumulation token by acquisition unit, The processing token includes data on the ratio of the plant-based raw material included in the processing unit of the processing token by the accumulation unit, The power generation token includes data on the ratio of the fuel material included in the power generation unit of the power generation token by the processing unit, The search control means searches for the stored token, the processed token, and the generated token related to the token of the identification information based on the identification information, and calculates and outputs either the greenhouse gas emission amount, the power generation amount, and / or the heat generation amount related only to the token of the identification information. The emission management system of claim 2 .

4. Each of the acquisition token, the storage token, the processing token, and the power generation token includes data contained in the token and information for ensuring the integrity and authenticity of the token. The emissions management system of claim 1 .

5. the acquired token management means is configured to include an acquisition terminal having a man-machine interface function for managing the acquired token, The stored token management means acquires data of the acquired token from the acquisition terminal. An emission management system according to any one of claims 1 to 4.

6. The acquisition token management means manages at least one of the following as update data: transportation-related data, which is data for calculating greenhouse gas emissions and / or the amount of greenhouse gas emissions related to the transportation of the plant-based raw material of the acquisition unit; and acquisition ratio data, which indicates the ratio of the plant-based raw material of the acquisition unit to the amount of raw plant obtained on-site; the accumulation token management means acquires the update data from the acquisition terminal, and manages the update data by including it in the accumulation token as one of the data of the acquisition token corresponding to the acquisition unit related to the update data; The emission management system of claim 5.

7. The acquisition terminal is a terminal mounted on a transport vehicle that transports the plant-based raw material, or a terminal carried by a transport user associated with the transport vehicle, the storage token management means includes a storage terminal having a man-machine interface function for managing the storage token, and the storage terminal communicates with the acquisition terminal to acquire the update data; The emission management system of claim 6.

8. The accumulation token management means manages, in the accumulation token, accumulated environmental data, which is environmental information during the accumulation of the plant-based raw material of the accumulation unit related to the accumulation token; The search control means is capable of searching for and outputting the accumulated environmental data of the accumulation token, the power generation related data related to the power generation token including the accumulation token, and the emission related data related to the accumulation token based on the identification information of the accumulation token. The emission management system of claim 2 .

9. 1. An emissions management method for managing data on greenhouse gas emissions and / or emissions-related data, which is data for calculating the emissions, relating to a supply chain including the production, transportation, and processing of fuel for power generation using plant biomass, comprising: an acquisition token management step of managing the emission-related data relating to the acquisition of a predetermined plant that is the source of the plant biomass or a plant-based raw material that is a primary processed product of the plant as an acquisition token for each acquisition unit that is a unit of the plant-based raw material; an accumulation token management step of accumulating N (N≧1) pieces of the plant-based raw materials of the acquisition unit as one accumulation unit, and managing data related to the accumulation as an accumulation token for each accumulation unit; a processing token management step of managing the emission-related data relating to a processing unit in which a fuel material of one processing unit is produced by processing M (M≧1) pieces of the plant-based raw material of the accumulation unit as a processing token for each processing unit; a power generation token management step of managing power generation-related data, which is data on the amount of power generated and / or the amount of heat generated, of one power generation unit obtained by performing biomass power generation using L (L≧1) pieces of the fuel material of the processing units, as a power generation token for each power generation unit; Including, The accumulation token management step is a step of managing data of the acquisition token corresponding to N acquisition units included in an accumulation unit related to the accumulation token by including the acquisition token in the accumulation token, The processing token management step is a step of managing data of the accumulation token corresponding to M accumulation units included in the processing processing unit related to the processing token by including the data of the accumulation token in the processing token, The power generation token management step is a step of managing data of the processing token corresponding to L processing units included in the power generation unit related to the power generation token by including the data of the processing token in the power generation token. Emissions management methods.

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