Selection support system, selection support method, and selection support program

Abstract

To facilitate selecting new means for reducing an amount of emissions.SOLUTION: A selection support system 1 includes: a database apparatus 101 which stores, for multiple means, information formed by associating means type information, means identification information and a parameter for calculating a generation amount of emissions; and a data processing apparatus 201 that has an information input unit 203 which receives inputs of assumed type information indicating a type of means and assumed use condition of the means, a means selection unit 204 which extracts, from a database device, based on the assumed type information, means identification information associated with type information indicated by the assumed type information, and a parameter associated with the identification information, in association with each other, an assumed CO2 calculation unit 207 which calculates a generation amount of emissions after introducing the means identified by the identification means associated with the parameter, on the basis of the assumed use condition and the parameter extracted by the means selection unit, and an output unit 211 which outputs a result calculated by the assumed CO2 calculation unit.SELECTED DRAWING: Figure 4

Description

[Technical field]

[0001] The present invention relates to a selection support system, a selection support method, and a selection support program. [Background technology]

[0002] When introducing a large-scale facility, it is necessary to select the facility that suits the purpose from various types of facilities. For example, Patent Document 1 discloses technology related to a system that selects units required to construct a water treatment facility that matches input water treatment specifications, and estimates the equipment price and operating price of the water treatment facility constructed with the selected units. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2003-114989 A Summary of the Invention [Problem to be solved by the invention]

[0004] However, the implementation of business such as the production of industrial products generates environmental loads. The importance of measures to reduce environmental loads is increasing. Furthermore, targets regarding environmental loads tend to become higher every year. To achieve such targets, measures such as energy saving equipment, waste recovery equipment, and waste reduction equipment are sometimes used.

[0005] When these measures are first introduced, it is possible to obtain the desired results, such as achieving numerical targets. However, for various reasons, the desired results may not be obtained. For example, even if the target remains unchanged, the target may not be achieved due to a decline in the performance of the introduced equipment. Also, for example, even if the performance of the introduced equipment can be maintained, the target may not be achieved if the target value increases.

[0006] Clients who find themselves in a situation where they are unable to achieve their goals are forced to consider introducing new means to achieve the desired results. Even if a new means is introduced, it is expected that the passage of time or changes in circumstances may make it impossible to achieve the goal again. When introducing a new means, it is important to consider the amount of waste generated after the introduction. In other words, when introducing a new means, clients have had to consider the amount of waste generated while taking into account factors that are intricately interrelated, and select the new means. Such considerations are time-consuming and can be a factor that hinders the introduction of new means.

[0007] Therefore, an object of the present invention is to provide a selection support system, a selection support method, and a selection support program that can support the selection of new measures and encourage their introduction. [Means for solving the problem]

[0008] A selection support system according to one embodiment of the present invention is a selection support system for selecting an accessory means for reducing the amount of emissions generated when obtaining a resultant product in a manufacturing means that receives raw materials and produces a resultant product from the raw materials, and includes: a storage unit that stores, for a plurality of accessory means, information that associates type information indicating the type of the accessory means, unique identification information for identifying the accessory means, and parameters for calculating the amount of emissions generated from the use conditions of the accessory means; an information input unit that accepts input of assumed type information indicating the type of accessory means that is assumed to be introduced and assumed use conditions of the accessory means assumed at the time of introduction; an extraction unit that extracts, from the storage unit, identification information of the accessory means associated with the type information indicated by the assumed type information and the parameters associated with the identification information, based on the assumed type information accepted by the information input unit; a calculation unit that calculates the amount of emissions generated after introduction of the accessory means identified by the identification information associated with the parameters, based on the assumed use conditions accepted by the information input unit and the parameters extracted by the extraction unit; and an output unit that outputs the calculation results of the calculation unit.

[0009] Alternatively, a selection support method according to another embodiment of the present invention is a selection support method executed by a selection support system for selecting an accessory means for reducing the amount of emissions generated when a resultant product is obtained in a manufacturing means that receives raw materials and produces a resultant product from the raw materials, and includes a parameter storage step for storing, in a storage unit, information for a plurality of accessory means, which associates type information indicating the type of the accessory means, unique identification information for identifying the accessory means, and parameters for calculating the amount of emissions generated from the use conditions of the accessory means; an information input step for accepting input of assumed type information indicating the type of accessory means that is assumed to be introduced and assumed use conditions of the accessory means assumed at the time of introduction; a parameter extraction step for extracting, from the storage unit, identification information of the accessory means associated with the type information indicated by the assumed type information and the parameters associated with the identification information, based on the assumed type information accepted by the information input step; a calculation step for calculating the amount of emissions generated after introduction of the accessory means identified by the identification information associated with the parameters, based on the assumed use conditions accepted by the information input step and the parameters extracted by the extraction step; and an output step for outputting a calculation result obtained by the calculation step.

[0010] Alternatively, a selection support program according to another embodiment of the present invention is a selection support program that causes a computer to execute a process for selecting an auxiliary means for reducing the amount of waste generated when obtaining a result in a manufacturing means that receives raw materials and produces a result from the raw materials, and includes a parameter storage step of storing, in a storage unit, information that associates type information indicating the type of the auxiliary means, unique identification information for identifying the auxiliary means, and parameters for calculating the amount of waste generated from the use conditions of the auxiliary means, for a plurality of auxiliary means; The system executes an information input step of accepting input of expected usage conditions of the stage, a parameter extraction step of extracting, from the storage unit, identification information of the accessory means associated with the type information indicated by the expected type information, and parameters associated with the identification information, based on the expected type information accepted by the information input step, in association with each other, a calculation step of calculating, based on the expected usage conditions accepted by the information input step and the parameters extracted by the extraction step, the amount of emissions generated after the introduction of the accessory means identified by the identification information associated with the parameters, and an output step of outputting the calculation result obtained by the calculation step.

[0011] According to the above-mentioned one embodiment, the above-mentioned other embodiment, or the above-mentioned other embodiment, type information of an auxiliary means for reducing the amount of waste generated in the manufacturing means, identification information of the auxiliary means, and parameters for calculating the amount of waste generated are stored in correspondence with each auxiliary means, and when input of assumed type information and assumed use conditions is received from a user, identification information of the auxiliary means associated with the type information indicated by the assumed type information and parameters of the auxiliary means are extracted. Then, based on the assumed use conditions and the extracted parameters, the amount of waste generated after the introduction of the auxiliary means is calculated and output. This makes it possible to easily estimate the amount of waste generated after the introduction of various auxiliary means belonging to the type of auxiliary means to be introduced. As a result, it is possible to support the selection of a new means for reducing the amount of waste and encourage its introduction.

[0012] In the above embodiment, the calculation unit may calculate the amount of emissions generated before the introduction of the auxiliary means based on the assumed use conditions and the reference parameters as a reference, and may calculate the difference between the amount of emissions generated after the introduction of the auxiliary means and the amount of emissions generated before the introduction of the auxiliary means as the amount of emissions reduction, and the output unit may output the amount of emissions reduction. In this case, it is possible to easily estimate the amount of emissions reduction before and after the introduction of various auxiliary means belonging to the type of auxiliary means to be introduced. As a result, it is possible to support the selection of a new means for reducing the amount of emissions and further encourage the introduction.

[0013] In the above embodiment, the storage unit may associate the first tag information indicating whether the auxiliary means is in use at another location with the second tag information indicating whether the auxiliary means is reusable, and the extraction unit may extract the auxiliary means associated with the first tag information indicating that the auxiliary means is not in use or the second tag information indicating that the auxiliary means is reusable. According to this configuration, among various auxiliary means, those in use at another location or those that are not reusable can be excluded from the calculation of the amount of generated waste. This makes it possible to prompt the selection of an auxiliary means that can actually be introduced among new auxiliary means for reducing the amount of waste, and promote the efficient introduction of the auxiliary means.

[0014] Furthermore, in the above embodiment, the calculation unit may calculate the fee for the additional means by multiplying the amount of emission reduction by the contract unit price, and the output unit may output the fee for the additional means calculated by the calculation unit in association with the amount of emission reduction. In this case, a customer considering the introduction of the additional means can be relieved from concerns about whether the introduction of the additional means will result in a recovery effect commensurate with the fee by examining the various additional means fees output. Therefore, it is possible to encourage the application of the additional means to obtain the desired results.

[0015] Furthermore, in the above embodiment, the information input unit may further receive input of location information regarding the location where the additional means is introduced, the calculation unit may calculate the cost of introducing the additional means based on the location information, and the output unit may output the cost of introducing the additional means calculated by the calculation unit in association with the calculated cost. In this case, when considering the introduction of the additional means, by considering the costs of introducing the various additional means outputted, the customer is relieved from worrying about the cost of introduction. Therefore, it is possible to encourage the customer to apply the additional means to obtain the desired result while taking the cost into consideration. Effect of the Invention

[0016] According to the present invention, there are provided a selection support system, a selection support method, and a selection support program capable of prompting the selection of a new means for reducing the amount of waste. [Brief description of the drawings]

[0017] [Figure 1] FIG. 1 is a schematic diagram showing an example of the configuration of a production facility. [Diagram 2] FIG. 2 is a schematic diagram showing the overall configuration of the selection support system. [Diagram 3] FIG. 3 is a hardware configuration diagram of a computer that realizes the selection support system. [Figure 4] FIG. 4 is a block diagram showing a detailed functional configuration of the selection support system. [Diagram 5] FIG. 5 is a diagram showing the structure of data stored in the means information DB 102. As shown in FIG. [Figure 6] FIG. 6 is a diagram showing the structure of data stored in the means information DB 102. As shown in FIG. [Figure 7] FIG. 7 is a diagram showing the structure of data stored in the basic information DB 103. As shown in FIG. [Figure 8] FIG. 8 is a diagram showing the structure of data stored in the fixed information DB 104. As shown in FIG. [Figure 9] FIG. 9 is a flowchart showing the procedure of the means selection process performed by the means selection unit 204. [Figure 10]FIG. 10 is a flowchart showing the operation procedure of the selection support system 1. [Figure 11] FIG. 11 is a block diagram showing a functional configuration of a selection support system according to the second modified example. [Figure 12] FIG. 12 is a flowchart showing an operation procedure of the selection support system according to the second modified example. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0018] Hereinafter, an embodiment of the present invention will be described in detail with reference to the accompanying drawings. In the description of the drawings, the same elements are given the same reference numerals, and duplicated explanations will be omitted. <Manufacturing facility>

[0019] This embodiment of the present invention relates to a system for supporting the selection of equipment and the like to be introduced into a manufacturing facility. FIG. 1 shows a schematic configuration of a manufacturing facility according to this embodiment. As shown in FIG. 1, for example, the manufacturing facility includes manufacturing equipment and energy supply equipment. The manufacturing equipment (manufacturing means) 82 receives raw materials and produces (manufactures) a result from the raw materials. In order to execute this function, the manufacturing equipment 82 requests a predetermined amount of energy from the energy supply equipment 83. When obtaining the result, the manufacturing equipment 82 discharges, as a result of operation, together with the result, an emission generation product (emission product) and an emission consumption product different from the result. Note that, in the manufacturing facility targeted by this embodiment, specific examples of the raw materials, the result, the energy, the emission generation product, and the emission consumption product are not particularly limited.

[0020] The manufacturing facility may also include abatement equipment (accessory means) 84A1 for reducing emissions. For example, the abatement equipment 84A1 receives exhaust gas from the manufacturing facility 82. The abatement equipment 84A1 reduces carbon dioxide, which is one type of emissions contained in the exhaust gas. Therefore, the gas discharged from the abatement equipment 84A1 has a reduced amount of carbon dioxide compared to the exhaust gas from the manufacturing facility 82. Therefore, the abatement equipment 84A1 is applied to the manufacturing facility 82 for the purpose of reducing carbon dioxide, which is an emissions product. As a result, the reduction amount of the emissions product is the result of applying the abatement equipment 84A1. Note that the above explanation using carbon dioxide is an example, and the content is naturally not limited to this. Examples of emissions to be reduced include wastewater, sludge, methane, carbon monoxide, and waste solvents, in addition to carbon dioxide.

[0021] The manufacturing facility may also include a recovery facility 84B1 for recovering the waste consumables. The manufacturing facility 82 may require consumables such as water and solvents during operation. These consumables are discharged as waste consumables such as wastewater and waste solvents as a result of operation. The recovery facility 84B1 has a function of recovering these waste consumables as recovered consumables that can be provided again to the manufacturing facility 82. The recovered consumables recovered by the recovery facility 84B1 may or may not be provided again to the manufacturing facility 82. Therefore, the recovery facility 84B1 is applied to the manufacturing facility 82 for the purpose of recovering the recovered consumables from the waste consumables. As a result, the amount of recovered consumables is the result of applying the recovery facility 84B.

[0022] The manufacturing facility may also include energy-saving equipment 84C1 that reduces the amount of energy required. The energy-saving equipment 84C1 may be separate equipment from the manufacturing equipment 82, or may be incorporated into the manufacturing equipment 82 to function as a part of the manufacturing equipment 82. By applying the energy-saving equipment 84C1, the amount of energy required to obtain a predetermined amount of results can be reduced. Examples of energy include electricity, heavy oil, and natural gas. The energy-saving equipment 84C1 is applied to the manufacturing equipment 82 in order to reduce the amount of energy required. As a result, the reduction in the amount of energy required is the result of applying the energy-saving equipment 84C1.

[0023] The manufacturing facility 82 may be, for example, an electrode manufacturing facility for manufacturing electrodes (positive electrodes) of lithium ion secondary batteries. The positive electrodes of batteries such as lithium ion secondary batteries are manufactured, for example, by dispersing a positive electrode active material together with a binder in a dispersion medium to generate a slurry, applying the slurry to the surface of an electrode current collector, and removing the dispersion medium by evaporation after application. In the case of lithium ion secondary batteries, for example, lithium cobalt oxide, lithium iron phosphate, lithium manganate, lithium nickel oxide, etc. are used as the positive electrode active material. For example, polyvinylidene fluoride (PVDF), copolymers containing vinylidene fluoride monomer units, etc. are used as the binder. For example, an organic solvent (NMP: N-methyl-2-pyrrolidone) is used as the dispersion medium.

[0024] When the manufacturing facility 82 is the electrode manufacturing facility described above, examples of raw materials supplied to the manufacturing facility 82 include a positive electrode active material and a binder. Examples of consumables supplied to the manufacturing facility 82 and waste consumables discharged from the manufacturing facility 82 include organic solvents. The organic solvents as consumables supplied to the manufacturing facility 82 are organic solvents whose impurity content has been reduced by purification or the like. The organic solvents as waste consumables discharged from the manufacturing facility 82 are organic solvents whose impurity content is higher than that of the organic solvents as consumables. Examples of the resultant products manufactured in the manufacturing facility 82 include electrodes.

[0025] The recovery equipment 84B1 may be an organic solvent recovery equipment that recovers an organic solvent as an exhausted consumable discharged from the manufacturing equipment 82. For example, if the recovery equipment 84B1 is not provided in the manufacturing equipment 82, the organic solvent (consumed product) is transported from a supply source of the organic solvent to the manufacturing equipment 82 and supplied to the manufacturing equipment 82, or the organic solvent (exhausted consumable product) is transported from the manufacturing equipment 82 to a predetermined processing equipment for disposal. In contrast, by applying the recovery equipment 84B1 to the manufacturing equipment 82, the organic solvent (exhausted consumable product) discharged from the manufacturing equipment 82 can be recovered and refined, and can be supplied to the manufacturing equipment 82 again as a consumable product. This eliminates the need to transport the organic solvent, and can reduce CO2 emissions compared to a case in which the recovery equipment 84B1 is not provided in the manufacturing equipment 82. In addition, if the manufacturing equipment 82 is the electrode manufacturing equipment described above, the energy supply equipment 83, the reduction equipment 84A1, and the like do not necessarily need to be provided.

[0026] In the following explanation, a party who benefits from the operation of a manufacturing facility is referred to as a "customer." A manufacturing facility includes one or more manufacturing equipment 82. As a result of the operation of these manufacturing equipment 82, in addition to the product (result) that is the target of production, carbon dioxide, wastewater, and sludge are generated. In the following explanation, carbon dioxide, wastewater, sludge, etc. may be collectively referred to as "emission generation products."

[0027] Emissions may place a burden on the environment. Therefore, manufacturing facilities are required to take measures to reduce the environmental burden caused by the emissions. For example, measures to reduce the emissions generated by the operation of the manufacturing equipment 82 may be taken. In addition, measures to recover the emissions generated by the manufacturing equipment 82 may be taken. Furthermore, measures to reduce the energy required by the manufacturing equipment 82 may be taken.

[0028] The present embodiment is a system intended to assist in the selection of a means (ancillary means) for reducing emissions from among the above three aspects.

[0029] The abatement equipment 84A1 may have a reduced ability to reduce the emission generation as the operation time of the abatement equipment 84A1 increases. Furthermore, a reduction target may be imposed on the amount of the emission generation.

[0030] As a result, the customer needs to consider measures to achieve the reduction target. For example, the customer may replace the manufacturing equipment 82 that is unable to achieve the target with a new manufacturing equipment 82 that can achieve the target. For example, the customer may install a new reduction equipment 84A1 that can achieve the target in place of the manufacturing equipment 82 that is unable to achieve the target. For example, the customer may replace the reduction equipment 84A1 that is unable to achieve the target with a reduction equipment 84A1 that can achieve the target. Furthermore, the customer may attach an additional auxiliary device to the manufacturing equipment 82 or the reduction equipment 84A1 that is unable to achieve the target to restore its function.

[0031] In the following explanation, "accessory means" (also simply referred to as "means") is defined as a concept including equipment or consumables for reducing the amount of discharge generated. Furthermore, "introduction of means" and "application of means" are defined as concepts including replacing equipment or consumables in use with new equipment or consumables, and installing new equipment or consumables for countermeasures in manufacturing equipment 82 where no equipment or consumables for countermeasures were installed. For example, examples of accessory means include chemicals such as slime control agents for freezers or wastewater sludge solvent reducers, heat recovery equipment including hydrothermal utilization systems, and wastewater recovery equipment.

[0032] When selecting which of these measures to implement, several concerns arise. The first concern is the cost of implementation. The second concern is whether the implementation will produce the expected results (reduction effects). Customers who are forced to select a measure need to evaluate these points while considering which measure to implement.

[0033] Therefore, as a result of intensive study, the inventors have come up with a configuration for eliminating the concerns about the introduction cost and the concerns about the reduction effect, which are uncertain factors, and facilitating the selection of a new means. The configuration for facilitating the selection of a new means will be described in detail below. In addition, in the detailed description, carbon dioxide (CO2) will be exemplified as an emission generation product. In this embodiment, a configuration for introducing a reduction facility 84A1, which is a new means as a measure for achieving a reduction target, is shown. A configuration for replacing the reduction facility 84A1, which is a means as a measure for achieving a reduction target, will be described later as a modified example. That is, a case where a customer installs a new reduction facility 84A1 in order to achieve a reduction target for a manufacturing facility 82 that has become unable to achieve the reduction target will be described as a model case.

[0034] Assume that a customer is considering introducing the reduction equipment 84A1 from a service provider. When the reduction equipment 84A1 is introduced, the service provider receives a fee from the customer. Normally, the service provider sets the fee based on the price of the reduction equipment 84A1 itself and a fee based on incidental work associated with the introduction. On the other hand, according to the fee acquisition form conceived by the inventors, the service provider sets the fee based on the price of the reduction equipment 84A1 set based on the amount of carbon dioxide reduced by the introduction of the reduction equipment 84A1 (reduction result amount) and the fee based on incidental work associated with the introduction of the reduction equipment 84A1. In other words, the service provider calculates the price of the reduction equipment 84A1 based on the reduction result amount (result amount) obtained by the introduction of the reduction equipment 84A1. When the customer selects the reduction equipment 84A1 to be introduced, the customer makes the selection by taking these fees to be paid to the service provider into consideration.

[0035] Furthermore, when the customer selects the reduction equipment 84A1 to be introduced, the customer also takes into consideration factors such as whether the amount of carbon dioxide will be reduced as expected by introducing the reduction equipment 84A1. In particular, the reduction result amount (reduction amount of emission generation), which is the difference in the amount of carbon dioxide before and after the introduction of the reduction equipment 84A1, is an important factor to consider. <Configuration of selection support system>

[0036] The selection support system according to this embodiment has a configuration that can easily present these consideration factors to the customer for each of the additional means belonging to the type that the customer wishes to introduce. The configuration of the selection support system according to this embodiment will be described in detail below. Figure 2 is a schematic diagram showing the overall configuration of the selection support system, Figure 3 is a hardware configuration diagram of a computer that realizes the selection support system, and Figure 4 is a block diagram showing the detailed functional configuration of the selection support system.

[0037] As shown in FIG. 2, the selection support system 1 includes a database device (storage unit) 101 and a data processing device 201. The database device 101 is a computer device that stores various data required for data processing in the data processing device 201. The data processing device 201 is a computer device that executes data processing and communication processing to support the introduction of incidental means by a customer. The selection support system 1 is configured to be accessible by a plurality of terminal devices 301. The terminal device 301 is a terminal device used by a customer or a service provider to execute a process of inputting data to the data processing device 201 and a process of outputting data acquired from the data processing device 201. As the terminal device 301, various terminal devices such as a smartphone, a feature phone, a tablet terminal, and a personal computer are used. The database device 101, the data processing device 201, and the terminal device 301 are configured to be able to transmit and receive data to each other via a communication network such as the Internet network, a mobile communication network, a LAN (Local Area Network), or a WAN (Wide Area Network). Although one each of the database device 101 and the data processing device 201 is provided, they may be configured with two or more devices with their functions divided. Also, the database device 101 and the data processing device 201 may be integrated into one computer device. <Computer hardware configuration for implementing the selection support system>

[0038] 3, a hardware configuration of a computer 10 that realizes the database device 101 and data processing device 201 included in the selection support system 1 will be described. The selection support system 1 includes one or more computers 10. The database device 101 and data processing device 201 included in the selection support system 1 are realized, for example, by each computer 10 that realizes the database device 101 and the data processing device 201 executing a selection support program PG. The selection support program PG causes each computer 10 to execute a selection support method according to this embodiment.

[0039] The computer 10 includes a CPU (Central Processing Unit) 11 which is a processor, a main memory unit 12, an auxiliary memory unit 13, a communication control unit 14, an input device 15, and an output device 16.

[0040] When the selection support system 1 is composed of multiple computers 10, these computers 10 may be connected by a local line or via a communication network. This connection logically constructs one selection support system 1.

[0041] The CPU 11 executes an operating system, application programs, etc. The main memory unit 12 is composed of a ROM (Read Only Memory) and a RAM (Random Access Memory). The auxiliary memory unit 13 is a storage medium composed of a hard disk, a flash memory, etc. The auxiliary memory unit 13 generally stores a larger amount of data than the main memory unit 12. The communication control unit 14 is composed of a network card or a wireless communication module. The input device 15 is composed of a keyboard, a mouse, a touch panel, a microphone for voice input, etc. The output device 16 is composed of a display, a printer, etc.

[0042] The auxiliary storage unit 13 stores in advance the selection support program PG and data necessary for data processing. The selection support program PG causes the computer 10 to execute each functional element of the selection support system 1. For example, the selection support program PG is read by the CPU 11 or the main storage unit 12, and causes at least one of the CPU 11, the main storage unit 12, the auxiliary storage unit 13, the communication control unit 14, the input device 15, and the output device 16 to operate. For example, the selection support program PG reads and writes data in the main storage unit 12 and the auxiliary storage unit 13.

[0043] The selection support program PG may be provided in a state in which it is recorded on a tangible recording medium such as a CD-ROM, a DVD-ROM, a semiconductor memory, etc. The selection support program PG may be provided as a data signal via a communication network.

[0044] The selection support system 1 estimates the amount of carbon dioxide (hereinafter referred to as "emission amount") generated before and after the introduction of the reduction equipment 84A1, which is a candidate for introduction. In the following explanation, the emission amount after the introduction of the reduction equipment 84A1 is referred to as the "estimated emission amount." In the following explanation, the emission amount before the introduction of the reduction equipment 84A1 is referred to as the "standard emission amount." In addition, the selection support system 1 obtains the difference between the standard emission amount and the estimated emission amount as the amount of achievement, which is the reduction result amount (amount of emission generation reduction). Then, the selection support system 1 converts the reduction result amount into a price.

[0045] That is, the selection support system 1 uses the amount of reduction achieved by the reduction equipment 84A1 (i.e., the amount of reduction in emissions) in calculating the price of the reduction equipment 84A1. Therefore, when calculating the price, the target emissions are not limited to a specific substance. Similarly, when calculating the price, the means for reducing the target emissions are not limited to a specific means. For example, if the target emissions are set to CO2, any means that have the function of reducing CO2 can be processed by the selection support system 1.

[0046] Examples of target emissions include greenhouse gases such as carbon dioxide (CO2), wastewater, sludge, methane, and nitrous oxide. Candidates for introduction that have the function of reducing emissions include new means to be introduced, new means to be replaced, parts that replace components of old means, new means to be added to old means, and new means (consumables, etc.) to be used for old means. The term "new" refers to means that can reduce the amount of emissions compared to old means. In other words, "new means" do not need to be new, but can be second-hand, provided that they have the effect of reducing emissions.

[0047] Furthermore, the means that have the function of reducing discharged materials may be any one of those introduced as a new means, those replaced as a new means, those added as a new means, and those used as a new means (consumable materials), or may be a combination of multiple means. This is because, even when different means are adopted, the factor required for consideration when selecting a means is the amount of reduction achieved, and the total amount of reduction achieved by combining different means can also be a factor for consideration. Examples of means include chillers and wastewater treatment equipment. Examples of consumable materials include cooling water complex treatment agents, scale inhibitors, slime control agents, and anticorrosive agents used in chillers, or wastewater sludge reducing solvents used in wastewater treatment equipment. <Detailed configuration of the selection support system>

[0048] The following provides a detailed description of the functions of the selection support system 1. As shown in Fig. 4, the selection support system 1 includes several functional components. (Database device)

[0049] First, a description will be given of the functional configuration of the database device 101. The database device 101 has a means information DB 102, a basic information DB 103, and a fixed information DB 104. Data stored in the means information DB 102, the basic information DB 103, and the fixed information DB 104 is registered, updated, or deleted using the input device 15 (FIG. 3) of the computer 10 or the terminal device 301 (FIG. 2).

[0050] The means information DB 102 stores information on means that can be candidates for additional means that a customer may introduce. 5 and 6 show the configuration of data stored in the means information DB 102.

[0051] 5, the means information DB 102 stores candidate means data in which type information indicating the type of means, means parameters for calculating the estimated emission amount from the use conditions of the means, and applied cost information for calculating the applied cost of the means are associated with each other for each of a plurality of candidate means. For example, the candidate means data may include, as type information, data on a "means identifier" that is a unique identifier for identifying the means (e.g., "A"), data on "use information" that indicates the type of the means (e.g., "1"), data on an "added chemical" that indicates the type of chemical if the means is a chemical (e.g., "water treatment chemical J"), and the like, as means parameters, data on a "CO2 conversion coefficient [t-CO2 / kg]" (e.g., "0.001"), data on an "LTD (Leaving Temperature The data of "Dependent on the cooling water temperature (circulating water inlet temperature - circulating water outlet temperature) [°C]" (for example, "1"), data of "Cooling water temperature difference (circulating water inlet temperature - circulating water outlet temperature) [°C]" (for example, "5"), data of "Concentration factor" (for example, "5"), data of "Drug concentration [mg / L]" (for example, "100"), and data of "Drug unit price [\ / kg]" (for example, "-"), data of "Means sales price [\ / formula]" (for example, "-"), data of "Storage location / Installation location" (for example, "A City, Osaka Prefecture"), data of "Transportation unit price [\ / 100km]" (for example, "-"), and data of "Installation man-days" (for example, "1") are associated as applicable cost information. For example, "1" indicates that the use is a cooling tower for a factory, "2" indicates that the use is a cooling tower for a building, and "3" indicates that the use is a small cooling tower, although not shown in FIG. 5. In the data shown in FIG. 5, for example, "-" means that the data is NULL (does not exist) (similarly in FIG. 6). The "means selling price" data indicates the list price (or selling price) when the candidate means is sold.

[0052] As shown in FIG. 6, the means information DB 102 also stores means status data indicating the installation status of the means for each of a plurality of candidate means. For example, in this means status data, data on "means identifier" (e.g., "A"), which is a unique identifier for identifying the means, data on "first tag information" (e.g., "in stock") indicating whether the means is already in use at another location, data on "second tag information" (e.g., "-") indicating whether the means can be diverted to a location other than the other location, and data on "installation location" (e.g., "-") indicating the current installation location of the means are associated with each other. When "in use", the "first tag information" indicates that the means is in use at another location, and when "in stock", it indicates that the means is stored in a warehouse or the like of the service provider and can be introduced into the manufacturing facility of the customer. When "replaceable", the "second tag information" indicates that the means can be moved from the manufacturing facility of the customer indicated by the data on the installation location to the manufacturing facility of another customer.

[0053] The above candidate means data and installation status data may further include the following data for each of the multiple candidate means. Device size ·weight ·Manufacture date Years of use ·Manufacturing lot Energy consumption Usage history Reference flow Material composition ·Equipment capacity Contract start date Contract term Contract status Usage Operational data (monitoring data, etc.)

[0054] The basic information DB 103 stores common basic information required for calculating the estimated emission amount, the standard emission amount, and the fee (price of the means, applied cost, etc.) in the selection support system 1. Fig. 7 shows the configuration of the data stored in the basic information DB 103.

[0055] As shown in Figure 7, basic information includes, for example, data on "gas calorific value [MJ / Nm3]" (e.g., "46.1"), data on "gas emission coefficient [tC / GJ]" (e.g., "0.0136"), data on "gas unit calorific value [GJ / kNm3]" (e.g., "44.8"), data on "gas fuel unit price [\ / Nm3]" (e.g., "112"), data on "emission rate [%]" (e.g., "0.05"), data on "water supply (tap water equivalent)" (e.g., "1.0%)", ... emission coefficient [tC / GJ]" (e.g., "0.0136"), data on "gas unit calorific value [GJ / kNm3]" (e.g., "44.8"), data on "gas fuel unit price [\ / Nm3]" (e.g., "112"), data on "emission rate [%]" (e.g., "0.05"), data on "water supply (tap water equivalent)" (e.g., "1.0%)", data on "gas emission coefficient [tC / GJ]" (e.g., " This includes data such as "coefficient [t-CO2 / m3]" (e.g., "0.0016"), "tap water (industrial water) conversion coefficient [t-CO2 / m3]" (e.g., "0.00022"), "sewage conversion coefficient [t-CO2 / m3]" (e.g., "0.00024"), "CO2 unit price [\ / t-O2]" (e.g., "40,000"), and "installation cost [\ / man-made]" (e.g., "80,000").

[0056] The fixed information DB 104 stores standard parameters, which are fixed parameters for calculating the standard emission amount before the application of the measures from the use conditions.

[0057] As shown in FIG. 8, the reference parameters include, for example, "LTD [°C]" data (e.g., "3"), "cooling water temperature difference [°C]" data (e.g., "5"), "concentration factor" data (e.g., "4.5"), and "drug treatment concentration [mg / L]" data (e.g., "0"), etc. (Data Processing Device)

[0058] Next, a description will be given of the functional configuration of the data processing device 201. With reference to Fig. 4, the data processing device 201 has an information update unit 202, an information input unit 203, a means selection unit (extraction unit) 204, an outcome amount standard determination unit 205, a standard CO2 calculation unit 206, an estimated CO2 calculation unit 207, a CO2 reduction amount calculation unit 208, a price calculation unit 209, an applied cost calculation unit 210, and an output unit 211.

[0059] The information update unit 202 executes the process of registering, updating, or deleting data stored in the means information DB 102, the basic information DB 103, and the fixed information DB 104 in accordance with input from the input device 15 (FIG. 3) of the computer 10 or the terminal device 301.

[0060] The information input unit 203 receives input of expected type information indicating the type of means expected to be applied in the customer's manufacturing facility and expected use conditions indicating the use conditions of the means expected at the time of application from the terminal device 301. For example, the expected type information may be information indicating the purpose or model of the means. When receiving the input of the expected type information, the information input unit 203 may receive the input of direct data, or may receive an input selected from options previously set in the data processing device 201. The expected use conditions may be information on the use conditions corresponding to the purpose or model of the means. For example, when the means to be applied is "water treatment chemicals," the expected use conditions include "cooling capacity (rated)," "operating load / operating rate [%]," "type of fuel," "fuel consumption (rated)," "operating time [h / Y]," "circulating water volume [m3 / h]," and the like. When accepting input of the assumed conditions of use, the information input unit 203 may accept direct data input, may accept input of a selection from options previously set in the data processing device 201, or may accept input of data extracted from data stored in a cloud server or the like. In addition to the assumed type information and assumed conditions of use, the information input unit 203 also accepts information such as the target amount of CO2 reduction, the contract term for the contract to install the means, and the planned application address indicating the planned location where the means is to be applied.

[0061] In addition, when the planned means of application is "heat recovery equipment," the information input unit 203 accepts information such as "planned installation space," "well water intake pump operation time [h / Y]," "well water intake pump power consumption [kW]," "cooling water supply pump operation time [h / Y]," "cooling water supply pump power consumption [kW]," "cooling water (factory water) supply amount [m3 / h]," "well water temperature [°C]," "boiler feedwater amount [m3 / h]," "boiler feedwater temperature [°C]," "boiler feedwater pump power consumption [kW]," "boiler feedwater pump operation time [h / Y]," "distance between heat exhaust location and heat absorption location," "boiler operation time [h / Y]," "boiler fuel type," and "boiler fuel consumption (rated)" as expected conditions of use.

[0062] In addition, when the planned means of application is "wastewater sludge solvent reducer," the information input unit 203 accepts information such as "industry," "wastewater volume [m3 / h]," "wastewater sludge generation volume [m3 / Y]," "moisture content of dehydrated cake [%]," "wastewater quality (pH, conductivity, amount of suspended solids, redox potential)," "amount of chemical used [kg / Y]," "type of chemical (product name, manufacturing location)," "chemical price [\ / kg]," "wastewater conditions (presence or absence of color, presence or absence of odor)," "waste sludge transportation means and distance, loading rate," "disposal cost [\ / m3]," "chemical dosing pump operating time [h / Y]," and "chemical dosing pump power consumption (rated)" as expected conditions of use.

[0063] Furthermore, when the means to be applied is a "solvent recovery facility," the information input unit 203 receives information such as "type of solvent," "amount of solvent (new liquid) used [m3 / h]," "amount of solvent discharged [m3 / h]," "means of transportation of new liquid and distance, loading rate," "waste solvent treatment (disposal method, in the case of transportation, means of transportation or distance to the disposal site, loading rate)," "liquid quality of waste solvent (pH, temperature, electrical conductivity (resistivity), water concentration, metal concentration, mixed components, solid concentration, organic concentration)," "required solvent liquid quality (pH, temperature, electrical conductivity (resistivity), water concentration, metal concentration, mixed components, solid concentration, organic concentration)," "power consumption of utility, operating time, amount of pure water used," etc., as expected conditions of use.

[0064] Based on the assumed type information received by the information input unit 203, the means selection unit 204 extracts candidate means data associated with "use information" that matches the type indicated by the assumed type information from the data stored in the means information DB 102 of the database device 101. For example, when the assumed type information indicates the use of "factory cooling tower", the means selection unit 204 extracts candidate means data such as means identifier "A" associated with use information "1" and means parameters corresponding to the means identifier, and candidate means data such as means identifier "B" associated with use information "1" and means parameters corresponding to the means identifier, from the data as shown in Fig. 5. Then, the means selection unit 204 selects (extracts) candidate means data related to means that may be introduced to the customer's manufacturing facility from the extracted multiple candidate means data. <Processing procedure for means selection by the means selection unit>

[0065] FIG. 9 is a flowchart showing the procedure of the means selection process performed by the means selection unit 204.

[0066] In the means selection process after the extraction of the candidate means data, the means selection unit 204 first acquires the first tag information and the second tag information associated with the means identifier included in the candidate means data from the means information DB 102 for each of the extracted candidate means data (step S1). Then, the means selection unit 204 judges whether the first tag information indicates "in stock". If the first tag information indicates "in stock" but not "in use" (step S2; Yes), the means selection unit 204 passes the candidate means data including the means identifier associated with the first tag information to the estimated CO2 calculation unit 207 (step S3).

[0067] On the other hand, if the first tag information does not indicate "in stock" but indicates "in use" (step S2: No), the means selection unit 204 further judges whether the second tag information associated with the means identifier of the candidate means data indicates "replaceable (reusable)" (step S4). If the second tag information does not indicate "replaceable" (step S4; No) as a result of the judgment, the means selection unit 204 judges whether other extracted candidate means data remains (step S5). If the candidate means data remains (step S5; No), the means selection unit 204 returns the process to step S1 again and repeats the judgment of the first tag information for the next candidate means data. On the other hand, if no candidate means data remains (step S5; Yes), the means selection unit 204 completes the means selection process.

[0068] When the second tag information indicates "replaceable" in the judgment of the second tag information (step S4; Yes), the means selection unit 204 causes the performance amount standard determination unit 205 to process and determine the performance amount standard (step S6). Next, the means selection unit 204 causes the estimated CO2 calculation unit 207 to process and calculate the estimated emission amount (A) for the corresponding candidate means data under the condition of the performance amount standard (step S7). Furthermore, the means selection unit 204 extracts one or more candidate means data including the same use information as the use information included in the corresponding candidate means data from the means information DB 102, and the first tag information associated with the means identifier included in the data indicates "stock". Then, the means selection unit 204 causes the estimated CO2 calculation unit 207 to process and calculate the estimated emission amount (B) for each of the candidate means data extracted under the condition of the performance amount standard (step S8).

[0069] Next, the means selection unit 204 judges whether any of the calculated estimated emission amounts (B) is less than the estimated emission amount (A) (S9). If the result of the judgment is that any of the estimated emission amounts (B) is equal to or greater than the estimated emission amount (A) (step S9; No), it is judged that there is little possibility that the emission amount can be reduced even if the means of the corresponding record is replaced with the means in stock, so the means selection unit 204 moves to the processing of the next record. On the other hand, if any of the estimated emission amounts (B) is less than the estimated emission amount (A) (step S9; Yes), the value (C) obtained by subtracting the estimated emission amount (A) from the estimated emission amount (B) is stored in the data processing device 201 as the amount of emission that can be reduced when the means of the corresponding candidate means data is replaced with the means in stock (step S10). In this case, since it is determined that there is a possibility of reducing emissions if the means in the corresponding candidate means data is replaced with the means in stock, the means selection unit 204 passes the corresponding candidate means data to the estimated CO2 calculation unit 207 (step S3), and after repeating the determination of the first tag information or the second tag information for all of the extracted records, completes the means selection process.

[0070] The performance amount standard determination unit 205 sets a performance amount standard that is a common calculation condition when the standard CO2 calculation unit 206 and the estimated CO2 calculation unit 207 calculate the emission amount based on the assumed type information received by the information input unit 203, and transfers the set performance amount standard to the standard CO2 calculation unit 206 and the estimated CO2 calculation unit 207. For example, when the assumed type information indicates "water treatment chemicals", the performance amount standard determination unit 205 sets standards such as "refrigeration capacity (rated)", "operation load / operation rate [%]", and "fuel consumption (rated)" as the performance amount standard. The setting is performed by reading fixed values ​​set in the data processing device 201 or an external server. When the assumed type information indicates "heat recovery equipment", the performance amount standard determination unit 205 sets standards such as "cooling water supply amount [m3 / h]" and "boiler operation time [h / Y]" as the performance amount standard. Furthermore, when the expected type information indicates "wastewater sludge solvent reduction", the performance quantity standard determination unit 205 sets standards such as "wastewater volume [m3 / h]", "wastewater quality (pH, conductivity, amount of suspended solids)", "industry", etc., as the performance quantity standard. When the expected type information indicates "solvent recovery equipment", the performance quantity standard determination unit 205 sets standards such as "solvent usage volume [m3 / h]", "required solvent quality", etc., as the performance quantity standard.

[0071] The standard CO2 calculation unit 206 refers to the performance quantity standard set by the performance quantity standard determination unit 205, the basic information stored in the basic information DB 103, the standard parameters stored in the fixed information DB 104, and the assumed use conditions accepted by the information input unit 203, and based on these, calculates the standard emission amount before the application of the means for the use indicated by the assumed type information accepted by the information input unit 203, as the standard emission amount.

[0072] For example, when the use indicated by the assumed type information is "water treatment chemicals," the standard CO2 calculation unit 206 calculates the standard emission amount [t-CO2 / Y] by the following formula. · Baseline emissions [t-CO2 / Y] = Emissions from fuel [t-CO2 / Y] + Emissions from water supply and sewerage [t-CO2 / Y] Fuel-derived emissions [t-CO2 / Y] = Annual gas fuel consumption [kNm3 / Y] x Gas unit calorific value [GJ / kNm3] x Gas emission coefficient [tC / GJ] x 44 / 12 Annual gas fuel consumption [kNm3 / Y] = (Gas fuel consumption (operating load) [Nm3 / h] × operating time [h / Y] + Gas fuel consumption (operating load) [Nm3 / h] × operating time [h / Y] × (LTD × 0.03) / 1000 Gas fuel consumption (operating load) [Nm3 / h] = Gas fuel consumption [Nm3 / h] × operating load [%] Gas fuel consumption [Nm3 / h] = (Gas fuel consumption (rated) x 3600) [kJ / h] / Gas calorific value [MJ / Nm3] / 1000 Emissions from water supply and sewage [t-CO2 / Y] = volume of water supply [m3 / Y] × water supply (tap) conversion factor [t-CO2 / m3] + volume of sewage [m3 / Y] × sewage conversion factor [t-CO2 / m3] · Tap water volume [m3 / Y] = Make-up water volume [m3 / h] × Operation time [h / Y] Sewage volume [m3 / Y] = Blow water volume [m3 / h] × Operation time [h / Y] Blow water volume [m3 / h] = (evaporation water volume [m3 / h] / (concentration factor 1)) - scattering water volume [m3 / h] - Make-up water volume [m3 / h] = Evaporation water volume [m3 / h] + Splash water volume [m3 / h] + Blow water volume [m3 / h] Evaporation rate [m3 / h] = Circulating water rate [m3 / h] × Cooling water temperature difference [°C] × (operating load [%]) / 580 - Amount of scattered water [m3 / h] = (operating load [%]) x amount of circulating water x (scattering rate [%])

[0073] As an example of calculation, if the standard results are set as gas fuel consumption (rated) = 170 [KW] and operating load = 50 [%], the assumed conditions of use are set as operating time = 3175 [h / Y] and circulating water volume = 130 [m3 / h], and the basic information and standard parameters are set to the values ​​shown in Figures 7 and 8, the following emissions from fuel [t-CO2 / Y] = 23.0 x 44.8 x 0.0136 x 44 / 12 = 51.3, emissions from water supply and sewage [t-CO2 / Y] = 2286 x 0.0016 + 405 x 0.00024 = 3.76, and standard emissions [t-CO2 / Y] = 51.3 + 3.76 = 55.1 are calculated.

[0074] Furthermore, when the assumed type information received by the information input unit 203 indicates "heat recovery equipment", the standard CO2 calculation unit 206 calculates the standard emission amount using the following formula. Standard emission amount [t-CO2 / Y] = Fuel consumption from heat source [Nm3 / h] × Operation time [h / Y] × Conversion factor [t-CO2 / Nm3] + Fuel consumption from cooling source [Nm3 / h] × Operation time [h / Y] × Conversion factor [t-CO2 / Nm3]

[0075] Furthermore, when the assumed type information received by the information input unit 203 indicates "wastewater sludge reduced solvent treatment", the standard CO2 calculation unit 206 calculates the standard emission amount using the following formula. Standard emissions [t-CO2 / Y] = sludge volume [kg / Y] × waste sludge transport distance [km] × transport coefficient [t-CO2 / (kg km)] × loading rate [%] + sludge volume [kg / Y] × incineration coefficient [t-CO2 / kg-sludge] + chemical usage [kg / Y] × chemical CO2 conversion coefficient [t-CO2 / kg-chemical] + chemical dosing pump operating time [h / Y] × chemical dosing pump power consumption (rated) [KW] × power conversion coefficient [t-CO2 / KW]

[0076] Furthermore, when the assumed type information received by the information input unit 203 indicates "solvent recovery equipment", the standard CO2 calculation unit 206 calculates the standard emission amount using the following formula. · Standard emissions [t-CO2 / Y] = CO2 from refilling and transportation of new liquid [t-CO2 / Y] + CO2 from waste solvent treatment [t-CO2 / Y] + CO2 from utilities during operation [t-CO2 / Y] + CO2 from transporting waste solvent [t-CO2 / Y] · CO2 from new solution replenishment and transportation [t-CO2 / Y] = new solution usage [t / y] × solvent conversion factor [t-CO2 / t-solvent] + new solution transportation distance [km] × loading rate during transportation × transportation conversion factor [t-CO2 / km] CO2 from waste solvent treatment = Solvent emissions [t / y] x waste solvent treatment conversion factor [t-CO2 / t-solvent] CO2 from utilities during operation [t-CO2 / Y] = Utility fuel consumption [Nm3 / y] x fuel conversion factor [t-CO2 / Nm3] CO2 from transporting waste solvent = Transport distance of waste solvent x Loading rate during transport x Transport conversion factor

[0077] The estimated CO2 calculation unit 207 calculates the estimated emission amount by referring to the candidate means data (means parameters) selected by the means selection unit 204, the performance quantity standard set by the performance quantity standard determination unit 205, the basic information stored in the basic information DB 103, and the estimated use conditions accepted by the information input unit 203. That is, the estimated CO2 calculation unit 207 calculates the estimated value of the emission amount after the introduction of the means identified by the means identifier included in the record selected by the means selection unit 204 as the estimated emission amount.

[0078] For example, the estimated CO2 calculation unit 207 calculates the estimated emission amount by using the same calculation formula as the reference CO2 calculation unit 206. At this time, the estimated CO2 calculation unit 207 calculates the estimated emission amount by using, instead of the reference parameter, a means parameter associated with the means identifier included in the candidate means data selected by the means selection unit 204. Furthermore, the estimated CO2 calculation unit 207 calculates the additional emission amount that is expected to be added when the means identified by the means identifier is applied, and adds the additional emission amount to the estimated emission amount.

[0079] For example, when the assumed type information received by the information input unit 203 indicates "water treatment chemicals", the assumed CO2 calculation unit 207 calculates the additional emission amount using the following formula. Additional emissions from drugs [t-CO2 / Y] = drug usage x operation time x CO2 conversion factor Amount of drug used [kg / Y] = Amount of water supply × Drug concentration / concentration factor / 1000

[0080] When the assumed type information received by the information input unit 203 indicates "solvent recovery equipment", the assumed CO2 calculation unit 207 calculates the CO2 originating from the solvent refining equipment as additional emissions using the following formula. Additional emissions = Amount of functional material used (kg / Y) x Conversion factor

[0081] As an example of calculation, if the performance standard is set as gas fuel consumption (rated) = 170, operating load = 50%, the assumed usage conditions are set as operating hours = 3175, circulating water volume = 130, the basic information is set to the values ​​shown in Figure 7, and the record of "Water treatment chemical J" shown in Figure 5 is the subject of calculation, the calculation will be as follows: Fuel-derived emissions [t-CO2 / Y] = 21.7 x 44.8 x 0.0136 x 44 / 12 = 48.5 Emissions from water supply and sewerage [t-CO2 / Y] = 3.56 + 0.08 = 3.6 Additional emissions when using water treatment chemical J [t-CO2 / Y] = 0.044 Estimated emissions when using water treatment chemical J [t-CO2 / Y] = 48.5 + 3.6 + 0.04 = 52.2

[0082] The CO2 reduction amount calculation unit 208 calculates the difference between the standard emission amount and the estimated emission amount as the reduction result amount for each means identified by the means identifier selected by the means selection unit 204 using the following formula, and passes it over to the output unit 211 and the price calculation unit 209. Reduction results = Baseline emissions - Estimated emissions For example, in the calculation example for the above-mentioned water treatment chemical J, the reduction result amount is calculated as follows. ·Reduction amount [t-CO2 / Y]=55.1-52.2=2.9

[0083] Furthermore, the CO 2 reduction calculation unit 208 may compare the reduction result with a target CO 2 reduction amount (target reduction amount) received by the information input unit 203 to generate a comparison result and deliver it to the output unit 211 .

[0084] The price calculation unit 209 receives the reduction result from the CO2 reduction calculation unit 208. The price calculation unit 209 calculates the fee for the application result of the measure selected by the measure selection unit 204 by multiplying the reduction result by the contract unit price. The price calculation unit 209 passes the fee information to the output unit 211.

[0085] The following is an example of a conversion formula used by the price calculation unit 209 when calculating the price, which is the fee related to the result of applying the means. Note that the price calculation unit 209 may use any function with the reduction result amount as an independent variable and the price as a dependent variable as the conversion formula. Price = Reduction in value x Contract price

[0086] The contract unit price may be obtained using the following formula: The coefficient of variation may be, for example, the ratio (Q2 / Q1) of the price (Q1) of the EU generation volume trading market price for last month to the price (Q2) of the EU generation volume trading market price for this month. Contract unit price = fixed unit price + variable unit price x variation coefficient

[0087] Here is an example of another conversion formula used by the price calculation unit 209 when calculating the price, which is the fee related to the result of applying the means. The above conversion formula is a mechanism in which the fee fluctuates based only on the amount of reduction achieved. For example, as shown in the formula below, in addition to the amount of reduction achieved, the degree of achievement of the goal may be reflected in the price. Price = reduction amount × contract price × (1 ± achievement coefficient)

[0088] The achievement factor may be defined by the following formula: Achievement coefficient = reduction result / target reduction

[0089] In addition, as shown in the formula below, the fixed unit price may be multiplied by a CO2 unit price coefficient according to the achievement rate. Contract unit price = (fixed unit price x CO2 unit price coefficient) + variable unit price x variable coefficient

[0090] In this case, the achievement coefficient may be set in stages according to the achievement rate, as listed below. Achievement rate: Less than 80% CO2 unit price coefficient: 0.7 Achievement rate: 80% or more and less than 120% CO2 unit price coefficient: 1.0 Achievement rate: 120% or more but less than 150% CO2 unit price coefficient: 1.2 Achievement rate: 150% or more CO2 unit price coefficient: 1.5

[0091] The applied cost calculation unit 210 calculates the cost (applied cost) when the means is applied, for each means identified by the means identifier selected by the means selection unit 204, using the following formula, and passes the cost to the output unit 211. · Applied cost = (Mechanism price + transportation cost + installation cost + running cost) / {(100 - profit margin) / 100}

[0092] The applied cost calculation unit 210 reads out data on "drug unit price," "means sales price," "unit transportation cost," "installation labor," and "storage location / installation location" from the candidate means data including the selected means identifier. Furthermore, the applied cost calculation unit 210 reads out data on "installation unit cost" from the basic information DB 103. Then, the applied cost calculation unit 210 determines the means price based on the data on "means sales price," and calculates the installation cost by the following formula. Installation cost [\] = installation man-hours × installation cost [\ / man-hours]

[0093] In addition, the applied cost calculation unit 210 calculates the transportation cost by the following formula. ·Shipping cost [\] = Shipping cost [\ / km] × Transport distance [km]

[0094] At this time, the applied cost calculation unit 210 obtains the transportation distance by calculating the distance between the location indicated by the “storage location / installation location” data and the location indicated by the intended applicable address received by the information input unit 203.

[0095] Moreover, the applied cost calculation unit 210 calculates the running cost by the following formula. Running cost = unit price of consumables x amount used For example, if the selected method is "water treatment chemicals," the running costs are calculated using the following formula. · Running cost [\ / Y] = drug unit price [\ / kg] × drug usage [kg / Y] The unit price of the consumable material is read from the candidate means data including the selected means identifier, and the usage amount is set to a value calculated for the candidate means data by the estimated CO2 calculation unit 207. The profit rate may be set to a value input from the information input unit 203, or may be set by the information input unit 203 by accepting an input to select from a plurality of set values.

[0096] The output unit 211 correlates the calculation result by the CO2 reduction amount calculation unit 208, the comparison result, the price calculated by the price calculation unit 209, and the applied cost calculated by the applied cost calculation unit 210 for each measure selected by the measure selection unit 204, and outputs them to the outside. These pieces of information may be output to the output device 16 of the computer 10 constituting the selection support system 1, or may be sent to the terminal device 301 or the like via a communication network using the communication control unit 14 of the computer 10 and output to the terminal device 301 or the like. The output unit 211 may output all of the standard emission amount, expected emission amount, and reduction result amount as the calculation result by the CO2 reduction amount calculation unit 208, or may output only a part of the amounts selected by the terminal device 301 or the like. <Operation procedure of the selection support system>

[0097] Next, the operation procedure of the selection support system 1 will be described, and the procedure of the selection support method according to this embodiment will be described in detail. FIG 10 is a flowchart showing the operation procedure of the selection support system 1.

[0098] First, the information input unit 203 accepts input of assumed type information indicating the type of means assumed to be introduced, assumed use conditions indicating the use conditions of the means, etc. from the terminal device 301 (step S101). Next, the means selection unit 204 selects candidate means data from the candidate means data in the means information DB 102 that corresponds to the type indicated by the assumed type information and is not in use or is replaceable even if in use (means selection process; step S102). After that, the performance amount standard determination unit 205 sets a performance amount standard that is a calculation condition for calculating the emission (step S103).

[0099] Then, the standard CO2 calculation unit 206 calculates the emission amount before the application of the measures as the standard emission amount based on the set performance amount standard, etc. (step S104). Furthermore, the estimated CO2 calculation unit 207 calculates the estimated emission amount for each selected measure based on the set performance amount standard, the measure parameters included in the selected candidate measure data, etc. (step S105). Next, the CO2 reduction calculation unit 208 calculates the reduction result amount for each selected measure based on the calculated standard emission amount and estimated emission amount (step S106).

[0100] In addition, the price calculation unit 209 calculates a fee for the applied result based on the calculated reduction result (step S107). Also, the applied cost calculation unit 210 calculates the applied cost for each selected means (step S108). Finally, the output unit 211 outputs the calculation results of the CO2 reduction amount calculation unit 208, the price calculation unit 209, and the applied cost calculation unit 210 for each selected means.

[0101] According to the selection support system 1 described above, type information of a means for reducing the amount of waste generated in a manufacturing facility, identification information of the means, and means parameters for calculating the amount of waste generated are stored in the means information DB 102 in association with each means, and when the user of the terminal device 301 inputs the assumed type information and assumed use conditions, the identification information of the means associated with the type information indicated by the assumed type information and the means parameters of the means are extracted. Then, based on the assumed use conditions and the extracted means parameters, the amount of waste generated after the application of the means is calculated and output. This makes it possible to easily estimate the amount of waste generated after application for various means belonging to the type of means to be applied. As a result, it is possible to support the selection of a new means for reducing the amount of waste and encourage its introduction.

[0102] In the selection support system 1, the difference between the amount of waste generated after the application of the measure and the amount of waste generated before the application of the measure is calculated and output as the amount of waste reduction. In this case, it is possible to easily estimate the amount of waste reduction before and after the application of various measures belonging to the type of measure to be applied. As a result, it is possible to support the selection of new measures to reduce the amount of waste and further encourage their introduction.

[0103] Furthermore, in the selection support system 1, means that are not in use or means that can be diverted are selected as applicable candidate means. With this configuration, among various means, those that are in use elsewhere or those that cannot be diverted can be excluded from the calculation of the amount of waste generated. This makes it possible to encourage the selection of actually applicable means among new means for reducing the amount of waste, and promote the efficient introduction of means. In particular, it becomes possible to encourage the diversion of a customer's means that have become less effective or are no longer necessary to other customers.

[0104] Furthermore, the selection support system 1 also has a function of calculating the price of the measures by multiplying the amount of waste reduction by the contract unit price and outputting the calculated price. In this case, a customer considering the introduction of a measure can be relieved of concerns about whether the introduction will result in a recovery effect that is commensurate with the price, by considering the prices of various measures outputted. Therefore, it is possible to encourage the customer to apply the measures to obtain the desired results.

[0105] Furthermore, in the selection support system 1, the costs of applying the selected measures are also output in association with the measures. In this case, when considering the application of the measures, the costs of applying the various measures outputted can be considered, thereby eliminating concerns about the costs of application. Therefore, it is possible to encourage the customer to apply the measures to obtain the desired results while taking the costs into consideration.

[0106] The selection support system, the selection support method, and the selection support program of the present invention are not limited to the above-described embodiments.

[0107] For example, the various data and parameters stored in the database device 101 may be updated with new information from outside at all times. For example, the data and parameters may be updated based on a database (GLIO, etc.) that is open to the public free of charge on the Internet, or a database (IDEA v3.1, JLCA, etc.) that can be viewed by users who join a consortium, forum, etc.

[0108] In addition, data such as "CO2 unit price [\ / t-O2]" included in the basic information may be configured in conjunction with market prices. For example, the unit price information may reflect any information outside the system.

[0109] In addition, the selection support system 1 of the above embodiment presents candidate means when a means is newly installed in the manufacturing equipment of the customer. In contrast, as a first modified example, the selection support system 1 may operate to present candidate means when a means that is already applied to the manufacturing equipment of the customer is replaced.

[0110] That is, the selection support system 1 according to the first modified example differs from the above embodiment in the following respects. The information input unit 203 accepts input of means parameters related to the already applied means together with the assumed type information and assumed use conditions. The standard CO2 calculation unit 206 calculates the standard emission amount based on the input means parameters instead of the standard parameters. The input means parameters may be data directly input by the terminal device 301, or may be extracted from data stored in an external facility, server, or cloud server.

[0111] The selection support system according to the second modified example may be configured to calculate and output the profit expected to be obtained by the service provider when the selected means is introduced. Fig. 11 is a block diagram showing the functional configuration of the selection support system 1A according to the second modified example, and Fig. 12 is a flowchart showing the operation procedure of the selection support system 1A according to the second modified example.

[0112] The selection support system 1A according to the second modification differs from the selection support system 1 in that it includes a profit calculation unit 212. The profit calculation unit 212 operates in accordance with the procedure shown in FIG.

[0113] That is, the profit calculation unit 212 has a function of calculating the profit when the candidate means is applied for each of the candidate means selected by the means selection unit 204, by the operation shown in Fig. 12. First, the profit calculation unit 212 calculates the CO2 reduction performance-based profit (D) by the following formula based on the price calculated by the price calculation unit 209 for the candidate means (step S201). D=Price - Cost · Cost price = ((price of the means + installation cost + transportation cost) / specified number of years) + running cost + fixed asset tax The designated number of years may be set to the number of years of the contract accepted by the information input unit 203, or may be set to an arbitrary value inputted.

[0114] Then, the profit calculation unit 212 calculates the means-introduced profit (E) based on the applied cost calculated by the applied cost calculation unit 210 for the candidate means using the following formula (step S202). E = Applied cost x profit margin As the profit rate, a value set by the applied cost calculation unit 210 is used.

[0115] Next, the profit calculation unit 212 judges whether the first tag information associated with the candidate means indicates "in stock" (step S203). If the first tag information indicates "in stock" (step S203; Yes), the profit calculation unit 212 calculates a value Δ obtained by subtracting the equipment introduction type profit (E) from the CO2 reduction performance-based reward type profit (D), and transfers the calculated value Δ, profit (D), and profit (E) to the output unit 211 (steps S204, S205). On the other hand, if the first tag information does not indicate "in stock" (step S203; No), it judges whether the second tag information indicates "replaceable" (step S206).

[0116] As a result of the above judgment, if the second tag information indicates "replaceable" (step S206; Yes), the profit calculation unit 212 reads out the profit (I) currently obtained by the candidate means (step S207). The profit (I) may use data stored in the means information DB 102 of the database device 101, or may be a value input from the terminal device 301 or the like. Thereafter, the profit calculation unit 212 reads out the value (C) stored in the means selection process for the candidate means by the means selection unit 204, and calculates the CO2 reduction performance-based reward profit (F) based on the value (C) in the same manner as the calculation method by the price calculation unit 209 (step S208).

[0117] Next, the profit calculation unit 212 calculates the replacement cost (G) of the candidate device using the following formula (step S209). Replacement cost = Equipment removal cost + transportation cost (removal, new installation) + (instrument price + installation cost + transportation cost) / remaining years of contract The remaining contract years are calculated and set from the contract years and contract start date in the installation status data. Furthermore, the profit calculation unit 212 calculates profit (H) by subtracting the replacement cost (G) from profit (F) (step S210). Thereafter, if profit (H) exceeds 0 (step S211; Yes) and the value obtained by subtracting profit (I) from profit (H) exceeds 0 (step S212; Yes), or if profit (H) exceeds 0 (step S211; Yes) and the value obtained by subtracting profit (I) from the sum of profit (H) and profit (D) exceeds 0 (step S213; Yes), the profit calculation unit 212 shifts the process to step S204 and causes the output unit 211 to select and output profit (D) or profit (E).

[0118] According to this second variant, when applying a means, it is possible to determine whether a profit would be generated by replacing a means currently in use at another manufacturing facility with another means and then applying that means, and if a profit would be generated, the expected profit from applying that means can be output. [Explanation of symbols]

[0119] 1, 1A...selection support system, 10...computer, 82...manufacturing equipment (manufacturing means), 84A1...reduction equipment (ancillary means), 101...database device (storage unit), 201...data processing device, 203...information input unit, 204...means selection unit (extraction unit), 211...output unit, PG...selection support program.

Claims

1. A selection support system for selecting ancillary means for reducing an amount of waste generated when a production means receives raw materials and produces a resultant product from the raw materials, the selection support system comprising: a storage unit that stores, for a plurality of the auxiliary means, information associating type information indicating the type of the auxiliary means, unique identification information for identifying the auxiliary means, and parameters for calculating the amount of generated waste from the usage conditions of the auxiliary means; an information input unit that receives input of assumed type information indicating the type of the auxiliary means assumed to be introduced and assumed use conditions of the auxiliary means assumed at the time of introduction; an extracting unit that extracts, based on the assumed type information received by the information input unit, from the storage unit, the identification information of the incidental means associated with the type information indicated by the assumed type information and the parameters associated with the identification information in association with each other; a calculation unit that calculates the amount of emissions generated after the introduction of the auxiliary means identified by the identification information associated with the parameters, based on the assumed use conditions accepted by the information input unit and the parameters extracted by the extraction unit; an output unit that outputs a calculation result of the calculation unit; A selection support system equipped with:

2. the calculation unit calculates the amount of emissions generated before the introduction of the auxiliary means based on the assumed use conditions and a reference parameter serving as a reference, and calculates a difference between the amount of emissions generated after the introduction of the auxiliary means and the amount of emissions generated before the introduction of the auxiliary means as an amount of emissions reduction; The output unit outputs the emission reduction amount. The selection support system according to claim 1.

3. In the storage unit, first tag information indicating whether the attachment means is being used in another place and second tag information indicating whether the attachment means is diverted are associated with each other, The extraction unit extracts the accessory means associated with the first tag information indicated to be not in use or the second tag information indicated to be reusable. The selection support system according to claim 1 or 2.

4. The calculation unit calculates a fee for the incidental means by multiplying the amount of emission reduction by a contract unit price, The output unit also outputs the fee for the accessory means calculated by the calculation unit in association with the fee. The selection support system according to claim 2.

5. The information input unit further receives input of location information regarding an introduction location of the incidental means, The calculation unit calculates a cost at the time of introducing the incidental means based on the location information, The output unit also outputs the cost of introducing the incidental means calculated by the calculation unit in association with the cost. The selection support system according to claim 1 or 2.

6. A selection support method executed by a selection support system for selecting ancillary means for reducing an amount of waste generated when a production means receives raw materials and produces a resultant product from the raw materials, the selection support method comprising: a parameter storage step of storing, in a storage unit, information associating type information indicating a type of the auxiliary means, unique identification information for identifying the auxiliary means, and parameters for calculating the amount of generated emissions from the use conditions of the auxiliary means, for a plurality of the auxiliary means; An information input step of receiving input of assumed type information indicating the type of the auxiliary means assumed to be introduced and assumed use conditions of the auxiliary means assumed at the time of introduction; a parameter extraction step of extracting, from the storage unit, the identification information of the auxiliary means associated with the type information indicated by the assumed type information, and the parameters associated with the identification information, in association with each other, based on the assumed type information received by the information input step; a calculation step of calculating, based on the assumed use conditions accepted in the information input step and the parameters extracted in the extraction step, an amount of emissions generated after the introduction of the auxiliary means identified by the identification information associated with the parameters; an output step of outputting a calculation result obtained by the calculation step; A selection support method that includes the following:

7. A selection support program that causes a computer to execute a process for selecting ancillary means for reducing an amount of waste generated when a production means receives raw materials and produces a resultant product from the raw materials, the selection support program comprising: The computer includes: a parameter storage step of storing, in a storage unit, information associating type information indicating a type of the auxiliary means, unique identification information for identifying the auxiliary means, and parameters for calculating the amount of generated emissions from the use conditions of the auxiliary means, for a plurality of the auxiliary means; An information input step of receiving input of assumed type information indicating the type of the auxiliary means assumed to be introduced and assumed use conditions of the auxiliary means assumed at the time of introduction; a parameter extraction step of extracting, from the storage unit, the identification information of the auxiliary means associated with the type information indicated by the assumed type information, and the parameters associated with the identification information, in association with each other, based on the assumed type information received by the information input step; a calculation step of calculating, based on the assumed use conditions accepted in the information input step and the parameters extracted in the extraction step, an amount of emissions generated after the introduction of the auxiliary means identified by the identification information associated with the parameters; an output step of outputting a calculation result obtained by the calculation step; A selection support program that implements the above.

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