Carbon reduction means proposing system and carbon reduction means proposing method

Abstract

To propose optimal means for reducing the amount of carbon emissions.SOLUTION: A carbon reduction means proposal system is provided with one or a plurality of computers in which the computer performs a process of enabling input of customer information, a process of extracting one or a plurality of pieces of solution information associated with carbon reduction means based on the inputted customer information and a plurality of subsidy data including information about a subsidy to be delivered to the carbon reduction means, and a process of outputting the extracted solution information.SELECTED DRAWING: Figure 5

Description

[Technical Field]

[0001] The present invention relates to a carbon reduction means proposing system and a carbon reduction means proposing method. [Background technology]

[0002] In recent years, businesses and the like have been required to reduce carbon emissions. For example, Patent Document 1 discloses a prediction system that calculates a predicted value for the amount of carbon dioxide reduction. In this prediction system, the amount of carbon dioxide reduction is linked to each initiative that can be adopted at a construction site, and the predicted value for the amount of carbon dioxide reduction is calculated when the user selects an initiative. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2012-32861 Summary of the Invention [Problem to be solved by the invention]

[0004] Each business must choose which initiatives to adopt based on plans such as budgets and carbon emission reduction targets, but there are many initiatives that can reduce carbon emissions. In addition, national and local governments offer subsidy programs for initiatives to reduce carbon emissions. However, subsidy programs vary by region and fiscal year, and the eligibility conditions for subsidies also differ for each program. Therefore, it is extremely difficult to determine the optimal initiative that will simultaneously reduce carbon emissions and maintain and improve economic viability.

[0005] In view of the above problems, the present invention aims to provide a carbon reduction means proposing system and a carbon reduction means proposing method that propose optimal carbon emission reduction means. [Means for solving the problem]

[0006] In order to solve the above problems, the carbon reduction means proposing system of the present invention comprises: one or more computers; The computer A process for enabling input of customer information; A process of extracting one or more pieces of solution information linked to the carbon reduction measures based on the input customer information and a plurality of subsidy data including information on subsidies granted for the carbon reduction measures; a process of outputting the extracted solution information; Carry out the following.

[0007] the customer information includes a predetermined target value; The process of extracting solution information includes: A combination of a plurality of pieces of solution information may be extracted so as to satisfy the target value.

[0008] The target values ​​may include a budget and / or a carbon reduction target.

[0009] the target value includes the budget; The subsidy data includes information on the amount of the subsidy to be provided, The process of extracting solution information includes: The combination may be extracted based on the budget and the amount information.

[0010] The subsidy data includes application conditions for granting the subsidy, The process of extracting solution information includes: The solution information that matches the application conditions may be preferentially incorporated into the combination.

[0011] The computer A process of acquiring the subsidy data from an external source via a communication network and storing the data in a storage unit; and The process of extracting solution information includes: The solution information may be extracted based on the subsidy data stored in the storage unit.

[0012] In order to solve the above problem, the carbon reduction means proposing method of the present invention includes: One or more computers A process for enabling input of customer information; A process of extracting one or more pieces of solution information linked to the carbon reduction measures based on the input customer information and a plurality of subsidy data including information on subsidies granted for the carbon reduction measures; a process of outputting the extracted solution information; Carry out the following. [Effects of the Invention]

[0013] According to the present invention, it is possible to propose an optimal means for reducing carbon emissions. [Brief explanation of the drawings]

[0014] [Figure 1] FIG. 1 is a schematic diagram of a carbon reduction means proposing system according to this embodiment. [Figure 2] FIG. 2 is a diagram illustrating an example of subsidy data. [Figure 3] FIG. 3 is a diagram illustrating an example of solution information. [Figure 4] FIG. 4 is a diagram illustrating an example of customer information. [Figure 5] FIG. 5 is a flowchart illustrating an example of a process performed by the extraction unit. [Figure 6] FIG. 6 is a diagram illustrating an example of output data. DETAILED DESCRIPTION OF THE INVENTION

[0015] Preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Dimensions, materials, and other specific values ​​shown in the embodiments are merely examples for facilitating understanding of the invention and do not limit the present invention unless otherwise specified. In this specification and drawings, elements having substantially the same functions and configurations are designated by the same reference numerals to avoid redundant explanation, and elements not directly related to the present invention are not shown.

[0016] 1 is a schematic diagram of a carbon reduction means proposal system 100 according to this embodiment. The carbon reduction means proposal system 100 includes a subsidy data acquisition unit 110, a subsidy data storage unit 115, a solution information input unit 120, a database 125, a customer information input unit 130, an extraction unit 140, and an output unit 150. The subsidy data acquisition unit 110, the solution information input unit 120, the customer information input unit 130, the extraction unit 140, and the output unit 150 are each configured as a semiconductor integrated circuit including a processor, a ROM in which programs and the like are stored, a RAM as a work area, and the like.

[0017] In this embodiment, the subsidy data acquisition unit 110, the solution information input unit 120, the customer information input unit 130, the extraction unit 140, and the output unit 150 are each provided in separate information processing terminals. However, some or all of the subsidy data acquisition unit 110, the subsidy data storage unit 115, the solution information input unit 120, the database 125, the customer information input unit 130, the extraction unit 140, and the output unit 150 may be provided in a single information processing terminal.

[0018] The subsidy data acquisition unit 110 functions as AI (Artificial Intelligence). The subsidy data acquisition unit 110 acquires subsidy data from outside via the communication network N. The subsidy data is data related to subsidies provided for means of reducing carbon emissions (hereinafter referred to as solutions), or subsidy projects in which subsidies are provided for solutions. In subsidy projects, conditions for the provision of subsidies, i.e., application conditions for the provision of subsidies, are set, and subsidies are provided to businesses that introduce solutions that meet all application conditions.

[0019] Subsidized projects are generally carried out by the national or local government, and therefore subsidy data acquisition unit 110 acquires subsidy data by accessing the homepages or databases of the national or local government via communication network N. Subsidy data acquisition unit 110 stores the acquired subsidy data in subsidy data storage unit 115.

[0020] 2 is a diagram illustrating an example of subsidy data. The subsidy data stored in the subsidy data storage unit 115 includes the solution implementation area, type, implementation period, other application conditions, subsidy amount, and effect upon adoption.

[0021] The solution implementation area included in the subsidy data is the prefecture and municipality where the solution is implemented. If the location where the solution is implemented is within the solution implementation area, the solution is eligible for the subsidy. Therefore, the solution implementation area included in the subsidy data can be said to be an eligibility condition for the grant of the subsidy.

[0022] The type included in the subsidy data indicates the type of solution, in other words, the classification of the solution. Here, examples of the solution types include solar power generation, storage batteries, LEDs, and CO2 emission credits.

[0023] The implementation period included in the subsidy data is the period during which the subsidy is eligible. If the solution is implemented within the implementation period, the solution is eligible for the subsidy. Therefore, the implementation period included in the subsidy data can be said to be an application condition for the grant of the subsidy.

[0024] The other application conditions are conditions for granting subsidies that are set separately from the solution implementation area and implementation period described above. For example, the other application conditions are information about the solution (specifically, the equipment) that is the subject of the subsidy, including information about the model of the equipment or device to be installed and performance such as power generation efficiency. In other words, the subsidy can be granted only if the equipment or device specified in the other application conditions is installed.

[0025] The subsidy amount included in the subsidy data is the amount of subsidy that will be provided if all applicable conditions are met. If the subsidy amount is not fixed, it is sufficient to store either an upper limit amount, a lower limit amount, or an average amount as the subsidy amount.

[0026] The benefits at the time of adoption included in the subsidy data is information about the benefits obtained when the solution is introduced. Examples of the benefits at the time of adoption include the amount of power generated and the amount of energy used reduced.

[0027] Note that the subsidy data shown in Fig. 2 is merely an example, and each item included in the subsidy data shown in Fig. 2 is not essential. For example, although the subsidy data here includes the conditions for application of the subsidy and the amount of the subsidy to be provided, only one of these may be included in the subsidy data.

[0028] The subsidy data acquisition unit 110 processes the subsidy data acquired via the communication network N and stores it in the subsidy data storage unit 115, as shown in Fig. 2. The subsidy data acquisition unit 110 may constantly or periodically monitor the network and acquire newly added subsidy data.

[0029] Alternatively, an information processing terminal operable by the worker may be provided, and the subsidy data may be acquired by inputting an operation to the information processing terminal. In this case, the subsidy data acquisition unit 110 is configured by the information processing terminal operable by the worker. Furthermore, the subsidy data acquisition unit 110 may, for example, delete subsidy data whose introduction period has elapsed from the subsidy data storage unit 115.

[0030] The solution information input unit 120 is provided in an information processing terminal that can be operated by an operator, and registers solution information in the database 125 through operational input by the operator. The solution information includes information on means for reducing carbon emissions.

[0031] 3 is a diagram illustrating an example of solution information, which includes a number assigned to each solution, type, reduction effect, introduction cost, availability of subsidies, and consideration phase.

[0032] The type included in the solution information indicates the type of solution, similar to the subsidy data described above, and in this case, photovoltaic power generation, storage battery, LED, and CO2 emission rights are provided.

[0033] The reduction effect included in the solution information is the effect that can be obtained when the solution is introduced. Here, as an example, the reduction amount of carbon emissions per unit area is shown as the reduction effect.

[0034] The implementation cost included in the solution information is the cost required to implement the solution. Here, as an example, the cost per unit area is shown as the implementation cost.

[0035] The subsidy availability information included in the solution information indicates whether the solution is eligible for a subsidy. In Figure 3, solutions eligible for a subsidy are indicated by a circle.

[0036] The consideration phase included in the solution information is information that indicates the stage at which the customer is considering reducing carbon emissions. In this embodiment, a customer refers to a business or individual that is trying to take steps to reduce carbon emissions. As will be described in more detail below, the consideration phase is also included in customer information, which is information about the customer, and a solution that matches the consideration phase included in the input customer information can be proposed. In other words, the consideration phase included in the solution information can be said to be information for identifying whether the solution can be proposed to the customer.

[0037] Here, for example, four stages, "00" to "03," are provided as the consideration phase. As an example, the consideration phase "00" included in the solution information indicates that the solution can be proposed when the customer is at the stage where they need to understand their carbon emissions. Furthermore, the consideration phase "01" included in the solution information indicates that the solution can be proposed when the customer is at the stage where they are considering introducing renewable energy. Furthermore, the consideration phase "02" included in the solution information indicates that the solution can be proposed when the customer is already at the stage where they are working on energy-saving measures. Furthermore, the consideration phase "03" included in the solution information indicates that the solution can be proposed when the customer is at the stage where they are implementing carbon offsetting or planning to implement it.

[0038] Note that the solution information shown in Figure 3 is merely an example, and each item included in the solution information shown in Figure 3 is not essential. However, as will be described in detail later, the carbon reduction means proposal system 100 extracts any of the solution information registered in the database 125 as solution information to propose to the customer. At this time, the solution information is extracted based on subsidy data and customer information. Therefore, the solution information must include information associated with at least one of the subsidy data and customer information.

[0039] The solution information input unit 120 may function as an AI, similar to the subsidy data acquisition unit 110. In this case, the solution information input unit 120 acquires solution information from outside via the communication network N and registers it in the database 125.

[0040] The customer information input unit 130 is provided in an information processing terminal that can be operated by a worker, and allows the worker to input customer information. The worker who operates the customer information input unit 130 is the customer himself or a person in charge who has received a request from the customer. The customer information input unit 130 transmits the customer information input by the worker to the extraction unit 140.

[0041] FIG. 4 is a diagram illustrating an example of customer information. Here, the customer information is described as being classified into first customer information and second customer information. For example, the first customer information includes information used to determine whether a subsidy is applicable. Here, as an example, the first customer information includes the solution implementation area, type, implementation time, other application conditions, and effects at the time of adoption.

[0042] The solution implementation area included in the first customer information is the prefecture and city / ward / town / village where the customer plans to implement the solution.

[0043] The type included in the first customer information indicates the type of solution that the customer plans to introduce, similar to the type included in the subsidy data, and in this case, photovoltaic power generation, storage batteries, LEDs, and CO2 emission rights are provided.

[0044] The implementation time included in the first customer information is the time when the customer plans to implement the solution.

[0045] The other application conditions included in the first customer information, like the other application conditions included in the subsidy data, are information about the solution that the customer plans to introduce, and include, for example, information about the type of equipment and device, and performance such as power generation efficiency.

[0046] The effect at the time of adoption included in the first customer information is information about the effect obtained when the solution is introduced, similar to the effect at the time of adoption included in the subsidy data.

[0047] The second customer information is, for example, information about a solution implementation plan, and is used to extract solution information. Here, as an example, the second customer information includes a reduction target, a budget, a priority, and a consideration phase.

[0048] The reduction target included in the second customer information is the carbon emission reduction amount that the customer aims to achieve, for example, the carbon emission reduction amount per year.

[0049] The budget included in the second customer information is the total amount of money allocated to achieve the carbon reduction target. The budget may be an annual budget including running costs, or may be the initial cost required to introduce the solution.

[0050] The priority included in the second customer information is information for determining the order of priority of the proposed solutions. Here, examples of priorities include maximum reduction, cost priority, and subsidy priority. The worker can select one of maximum reduction, cost priority, and subsidy priority as the priority. The carbon reduction means proposal system 100 proposes a combination of solutions to the customer according to the selected priority.

[0051] When "maximum reduction" is selected, the system proposes a combination of solutions that will maximize carbon emission reductions within a budget, while when "cost priority" is selected, the system proposes a combination of solutions that will achieve reduction targets and at the lowest cost.

[0052] Furthermore, when subsidy priority is selected, a proposal is made that prioritizes the incorporation of solutions eligible for subsidies among combinations of solutions that can achieve reduction targets or combinations of solutions that can be introduced within the budget. In other words, when subsidy priority is selected, solution information that meets the application conditions for the granting of subsidies is prioritized for incorporation into the combination.

[0053] The consideration phase included in the second customer information is the same as the consideration phase included in the solution information, and has four stages from "00" to "03" as described above. Any one of the four stages from "00" to "03" is input in the second customer information. In addition, the second customer information may be changed afterwards.

[0054] It should be noted that the customer information shown in Fig. 4 is merely an example, and each item shown in Fig. 4 is not essential. For example, only one of the first customer information and the second customer information may be provided as the customer information.

[0055] 1, the extraction unit 140 is communicatively connected to the subsidy data storage unit 115, the database 125, the customer information input unit 130, and the output unit 150. The extraction unit 140 can access the subsidy data storage unit 115 to acquire subsidy data. The extraction unit 140 can also access the database 125 to acquire solution information. The extraction unit 140 then extracts one or more pieces of solution information linked to a solution, based on the customer information input by the customer information input unit 130 and multiple pieces of subsidy data including information on subsidies to be granted for the solution.

[0056] 5 is a flowchart showing an example of processing performed by the extraction unit 140. When customer information is input in the customer information input unit 130, the extraction unit 140 acquires the input customer information (S1). The extraction unit 140 accesses the subsidy data storage unit 115 and, based on the customer information acquired in S1, extracts subsidy data that satisfies the application conditions from the subsidy data stored in the subsidy data storage unit 115 (S2).

[0057] Here, by comparing the first customer information with the subsidy data, it is determined for each subsidy data whether the application condition is satisfied. For example, the extraction unit 140 determines that the subsidy data satisfies the application condition if the solution implementation area included in the subsidy data matches the solution implementation area included in the first customer information and the implementation period included in the subsidy data includes the implementation time included in the first customer information. In this way, all subsidy data determined to satisfy the application condition are extracted.

[0058] In addition to the solution implementation area and implementation time, other customer information may be used to determine whether the application conditions are met. The information used to determine whether the application conditions are met is not particularly limited.

[0059] Furthermore, the extraction unit 140 extracts solution information that can be proposed to the customer from the solution information registered in the database 125 (S3). Here, the second customer information is compared with the solution information to determine whether each piece of solution information registered in the database 125 can be proposed. For example, the extraction unit 140 determines that solution information whose consideration phase included in the solution information matches the consideration phase included in the second customer information is proposeable. In this way, all solution information that is determined to be proposeable is extracted.

[0060] In addition to the consideration phase, other customer information such as the type of solution included in the first customer information may be used to determine whether or not to accept the proposal. The information used to determine whether or not to accept the proposal is not particularly limited.

[0061] The extraction unit 140 also compares the solution information extracted in S3 with the subsidy data extracted in S2 to determine whether solution information that satisfies the conditions for granting a subsidy is included. Then, the extraction unit 140 subtracts the subsidy amount from the introduction cost included in the solution information that satisfies the conditions for granting a subsidy, and stores the result (S4).

[0062] Next, the extraction unit 140 extracts a combination of solution information extracted in S3 according to the priority included in the acquired customer information. Specifically, if the priority is the maximum reduction amount, the extraction unit 140 determines a combination of solution information that will keep the total implementation cost within the budget and maximize the reduction amount of carbon emissions. In this case, the implementation cost after subtraction in S4 is used. In other words, it can be said that the customer information includes a predetermined target value (here, the budget), and the extraction unit 140 extracts a combination of multiple solution information that will satisfy the target value.

[0063] Furthermore, when the priority is cost-first, the extraction unit 140 determines the combination with the lowest implementation cost from among the combinations of solution information that can achieve the reduction target. In this case, the implementation cost after subtraction in S4 is also used. In other words, the customer information includes predetermined target values ​​(here, the budget and the amount of carbon emission reduction (carbon reduction target)), and the extraction unit 140 extracts a combination of multiple solution information that satisfies the target values.

[0064] The target value includes a budget, and the subsidy data includes monetary information, which is the amount of the subsidy to be provided. Since the combination of solution information is extracted using the implementation cost after subtraction in S4, it can be said that when the priority is maximum reduction or cost priority, the extraction unit 140 extracts a combination based on the budget and monetary information.

[0065] Furthermore, when the priority is subsidy priority, the extraction unit 140 determines a combination in which solution information that satisfies the application conditions for granting a subsidy is preferentially incorporated from among combinations of solution information that can achieve the reduction target or combinations of solutions that can be introduced within the budget. In other words, the extraction unit 140 preferentially incorporates solution information that meets the application conditions for granting a subsidy into the combination.

[0066] If the priority is subsidy priority, the extraction unit 140 may extract both a combination of solution information that can achieve the reduction target and a combination of solutions that can be introduced within the budget. Alternatively, if the priority is subsidy priority, the extraction unit 140 may extract a combination of solution information that can achieve the reduction target and can be introduced within the budget.

[0067] Once a combination of solution information has been determined and extracted as described above, the extraction unit 140 transmits the extracted solution information and the combination to the output unit 150. The output unit 150 outputs the received solution information. Note that the method of outputting the solution information by the output unit 150 is not particularly limited, and examples of the method of outputting the solution information include displaying an image on a display, printing out on paper, or external output as data.

[0068] FIG. 6 is a diagram illustrating an example of output data. The extracted solution information and its combination are provided to the customer as output data. For example, as shown in FIG. 6, the output data indicates, for each extracted solution information, the type, reduction effect, implementation cost, subsidy amount, and actual cost obtained by subtracting the subsidy amount from the implementation cost. The output data also indicates the total of the reduction effect, implementation cost, subsidy amount, and actual cost. Note that the items included in the output data shown in FIG. 6 are merely examples. The items included in the output data can be set as appropriate.

[0069] As described above, according to the carbon reduction means proposal system 100 of this embodiment, one or more pieces of solution information are extracted based on customer information and subsidy data. There are many solutions for reducing carbon emissions, and there are also many subsidized projects with different conditions for granting subsidies. However, according to the carbon reduction means proposal system 100, it is possible to propose an optimal combination of solutions for reducing carbon emissions. In particular, according to this embodiment, the presence or absence of subsidies is taken into consideration when proposing solutions to customers, making it possible to make proposals that appropriately reflect implementation costs.

[0070] While the preferred embodiments of the present invention have been described above with reference to the accompanying drawings, it goes without saying that the present invention is not limited to such embodiments. It is clear that those skilled in the art can conceive of various modifications and alterations within the scope of the claims, and it is understood that such modifications and alterations also fall within the technical scope of the present invention.

[0071] The processing according to the present embodiment described above may be realized using software, hardware, or a combination of software and hardware. The programs constituting the software are stored in advance in, for example, a non-transitory storage medium provided inside or outside each information processing terminal. The programs are then read from, for example, the non-transitory storage medium (for example, ROM) to a transitory storage medium (for example, RAM) and executed by a processor such as a CPU.

[0072] Furthermore, a program for realizing each function in each information processing terminal can be created and installed in the computer of each information processing terminal. Processing is performed by a processor executing the program stored in memory. At this time, the program may be shared and executed by multiple processors, or the program may be executed by a single processor. Furthermore, the processing of each information processing terminal may be realized by cloud computing using multiple computers interconnected by a communication network N. Note that the program may be provided to each information processing terminal by distribution from an external device via the communication network N and installed therein.

[0073] Also provided are programs that cause a computer to function as the subsidy data storage unit 115, database 125, customer information input unit 130, extraction unit 140, and output unit 150, as well as computer-readable storage media such as flexible disks, magneto-optical disks, ROMs, CDs, DVDs, and BDs on which the programs are recorded. Here, the program refers to data processing means written in any language or description method.

[0074] Note that the processes shown in this specification do not necessarily have to be processed in chronological order according to the order shown in the flowcharts, and may include parallel or subroutine processes. Furthermore, the above embodiment and various modifications may be an information processing method (a method for proposing carbon reduction means) that realizes the functions and processes shown in the flowcharts. [Explanation of symbols]

[0075] 100 Carbon Reduction Measures Proposal System 110 Subsidy Data Acquisition Department 115 Subsidy Data Storage Unit 120 Solution information input section 125 databases 130 Customer information input section 140 Extraction part 150 Output section

Claims

1. one or more computers; The computer A process for enabling input of customer information; A process of extracting one or more pieces of solution information linked to the carbon reduction measures based on the input customer information and a plurality of subsidy data including information on subsidies granted for the carbon reduction measures; a process of outputting the extracted solution information; A carbon reduction measures proposal system that carries out the above.

2. the customer information includes a predetermined target value; The process of extracting solution information includes: A combination of a plurality of pieces of solution information can be extracted so as to satisfy the target value. The carbon reduction means proposing system according to claim 1 .

3. The target values ​​include at least one of a budget and a carbon reduction target; The carbon reduction means proposing system according to claim 2.

4. the target value includes the budget; The subsidy data includes information on the amount of the subsidy to be provided, The process of extracting solution information includes: extracting the combination based on the budget and the amount information; The carbon reduction means proposing system according to claim 3.

5. The subsidy data includes application conditions for granting the subsidy, The process of extracting solution information includes: Incorporating the solution information that matches the application conditions into the combination with priority; The carbon reduction means proposing system according to any one of claims 2 to 4.

6. The computer A process of acquiring the subsidy data from an external source via a communication network and storing the data in a storage unit; and The process of extracting solution information includes: extracting the solution information based on the subsidy data stored in the storage unit; The carbon reduction means proposing system according to any one of claims 1 to 4.

7. One or more computers A process for enabling input of customer information; A process of extracting one or more pieces of solution information linked to the carbon reduction measures based on the input customer information and a plurality of subsidy data including information on subsidies granted for the carbon reduction measures; a process of outputting the extracted solution information; Proposed carbon reduction measures to achieve this.

Images