KR20220078032A - Method for trading certified emission reductions and the system thereof - Google Patents

Abstract

The present invention relates to a carbon emission trading method and system for safely storing contract details through a platform and paying compensation for performance, comprising the steps of: receiving carbon reduction activity histories from a plurality of participants applying the carbon reduction method; Calculating the total amount of carbon reduction for the plurality of participants based on the carbon reduction calculation method defined for each carbon reduction method, generating a reduction activity report by automating the carbon reduction activity history according to the report standard template Step, requesting project approval for carbon credits from the Korea Environment Corporation based on the reduction activity report, obtaining carbon credits for carbon reductions of the plurality of participants according to the approval, and carbon reduction amount and share ratio of the plurality of participants and paying the sales amount of the carbon credits according to the distribution by

Description

Carbon credit trading method and system

The present invention relates to a method and system for trading carbon credits, and more particularly, to a technology for safely storing contract details through a platform and paying compensation for performance.

Carbon credit is the right to emit a certain amount of greenhouse gases such as carbon dioxide for a certain period of time. The Kyoto Protocol on the greenhouse gas reduction target in accordance with the Climate Change Convention imposes obligations on member states to reduce greenhouse gas emissions.

Accordingly, there are restrictions on the amount of greenhouse gas emissions for companies in each country, and companies that do not hold carbon credits must purchase carbon credits from other companies or countries that can afford it. Therefore, management of carbon credits is required, and the conventional technology for trading carbon credits (Patent Publication No. 10-2015-0014564) analyzes the current state or trend of carbon emitters to calculate expected emissions, and the expected shortfall Or technology that allows you to trade the expected balance.

An object of the present invention is to digitize and safely store contract contents when contracting with a participant, and to automatically pay compensation for performance.

In addition, it is an object of the present invention to manage the transaction process from application to acquisition of carbon credits so that profits can be generated through carbon credits.

In addition, an object of the present invention is to provide a simple report creation by automatically applying a template according to a participant's carbon reduction activity history when writing a reduction activity report, and to increase the probability of approval from the Environment Corporation.

In the carbon credit trading method performed by the carbon credit trading system according to an embodiment of the present invention, receiving carbon reduction activity histories from a plurality of participants applying the carbon reduction method, calculating the carbon reduction amount predefined for each carbon reduction method Calculating the total amount of carbon reduction for the plurality of participants based on the method, generating a reduction activity report by automating the carbon reduction activity history in accordance with a report standard template template, and environment based on the reduction activity report Requesting business approval for carbon credits from the Corporation, acquiring carbon credits for the carbon reduction amount of the plurality of participants according to the approval, and selling the carbon credits according to the carbon reduction amount and distribution of the plurality of participants It includes the step of paying an amount.

The carbon credit trading system according to an embodiment of the present invention is based on a receiver that receives carbon reduction activity histories from a plurality of participants applying the carbon reduction method, and a carbon reduction calculation method defined for each carbon reduction method, the plurality of participants Carbon reduction calculation unit that calculates the total amount of carbon reduction for A carbon credit acquisition unit that requests business approval for the company, and acquires carbon credits for the carbon reduction amount of the plurality of participants according to the approval, and the sales amount of the carbon credits according to the carbon reduction amount of the plurality of participants and distribution according to the share Includes a payment unit for payment of

According to an embodiment of the present invention, when a contract with a participant is digitized and safely stored, rewards related to performance can be automatically paid, and contract relationships can be transparently managed through a smart contract.

In addition, according to an embodiment of the present invention, when creating a reduction activity report, a template according to a participant's carbon reduction activity history is automatically applied to automate all or part of the report generation, and the probability of approval from the Environment Corporation can be increased .

In addition, according to an embodiment of the present invention, by grouping participants in carbon reduction activities to acquire carbon credits, the cost required for acquiring carbon credits can be reduced, and accordingly, the profit of carbon credits can be maximized. As the approval process necessary for the carbon credit acquisition process and the generation of various reports are carried out in group units, the overall workload for carbon credits can be reduced. In addition, participants can easily acquire carbon credits simply by providing the information requested by the platform according to the carbon reduction method without directly writing a report for acquiring carbon credits or performing a separate approval process for acquiring carbon credits. have.

1 is a flowchart illustrating an operation of a carbon credit trading method according to an embodiment of the present invention.
2 shows an example of a schematic configuration for trading carbon credits according to an embodiment of the present invention.
3 shows an example of a carbon reduction calculation method for each carbon reduction method according to an embodiment of the present invention.
4 illustrates an example of a method for grouping participants according to an embodiment of the present invention.
5 illustrates another example of a method for grouping participants according to an embodiment of the present invention.
6 is a flowchart illustrating an example of a method for grouping participants according to an embodiment of the present invention.
7 illustrates an example of a learning process of an artificial intelligence model for generating a report according to an embodiment of the present invention.
8 is a flowchart illustrating an example of a method for generating a report using an artificial intelligence model according to an embodiment of the present invention.
9 illustrates an example of another method for generating a report using an artificial intelligence model according to an embodiment of the present invention.
10 is a flowchart showing an example of a method of processing a contract for a carbon credit application as a smart contract according to an embodiment of the present invention.
11 is a block diagram illustrating a detailed configuration of a carbon credit trading system according to an embodiment of the present invention.

Advantages and features of the present invention and methods of achieving them will become apparent with reference to the embodiments described below in detail in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but will be embodied in various different forms, and only these embodiments allow the disclosure of the present invention to be complete, and common knowledge in the art to which the present invention pertains It is provided to fully inform those who have the scope of the invention, and the present invention is only defined by the scope of the claims.

The terminology used herein is for the purpose of describing the embodiments, and is not intended to limit the present invention. In this specification, the singular also includes the plural unless specifically stated otherwise in the phrase. As used herein, "comprises" and/or "comprising" refers to the presence of one or more other components, steps, operations and/or elements mentioned. or addition is not excluded.

Unless otherwise defined, all terms (including technical and scientific terms) used herein may be used with the meaning commonly understood by those of ordinary skill in the art to which the present invention belongs. In addition, terms defined in a commonly used dictionary are not to be interpreted ideally or excessively unless specifically defined explicitly.

Hereinafter, preferred embodiments of the present invention will be described in more detail with reference to the accompanying drawings. The same reference numerals are used for the same components in the drawings, and repeated descriptions of the same components are omitted.

Embodiments of the present invention are based on a smart contract-based automatic carbon credit trading platform to safely store the contract details between the participant, the consumer, and the Environment Corporation, and to provide an activity to pay compensation for performance.

The carbon credit trading method and system according to an embodiment of the present invention receives carbon credit performance data from a participant, reports it, provides it to the Environment Corporation and Korea Energy Corporation to request approval, converts it into carbon credit, and based on this performance As a result, all activities of selling carbon credits to consumers and distributing the sales amount to participants are operated based on smart contracts.

Furthermore, the carbon credit trading method and system according to an embodiment of the present invention selects a business target methodology, external business application/approval, offset register, certification renewal, monitoring/verification, reduction amount certification through a smart contract-based automatic carbon credit trading platform , and can provide various services such as certification performance transaction and certification performance disposal/offset emission rights conversion.

Hereinafter, the present invention will be described in more detail with reference to FIGS. 1 to 11 .

1 is a flowchart illustrating an operation of a carbon credit trading method according to an embodiment of the present invention, and FIG. 2 shows an example of a schematic configuration for carbon credit trading according to an embodiment of the present invention.

The method of FIG. 1 is performed by the carbon credit trading system 200 according to an embodiment of the present invention shown in FIGS. 2 and 11 .

First of all, referring to FIG. 2 , the carbon credit trading system 200 is connected to the participant 210 , the Environment Corporation 220 , and the consumer 230 through a wired/wireless communication network, respectively. In the carbon credit trading system 200, each terminal of the participant 210, the Environment Corporation 220, and the consumer 230 is actually connected to the wired/wireless communication network, but this embodiment is for convenience of explanation, the participant 210, the environment The industrial complex 220 and the consumer 230 are indicated and described.

In addition, the participant 210, the environmental corporation 220, and the consumer 230 are shown as a single, but this is for a more brief description of the present invention, so a plurality of participants 210 and a plurality of consumers 230 and the environment It may be an industrial complex and an energy complex 220 . Furthermore, each terminal of the participant 210, the Environment Corporation 220, and the consumer 230 means all kinds of devices capable of wired or wireless communication, such as general computers, smart phones, and servers, and capable of processing predetermined data. .

The participant 210 is a person who performs carbon reduction activities, and various entities such as public institutions, companies, or individuals may become participants. The Environment Corporation 220 is an institution that approves carbon emission rights through an examination process, and may be an Energy Corporation in addition to the Environment Corporation. The consumer 230 is a person who purchases carbon credits.

Carbon credits are not automatically given just because the participant 210 engages in carbon reduction activities, but is applied to the Environment Corporation 220 according to certain conditions and granted according to the amount of carbon reduction approved through the verification process. The participant 210 may directly perform the process of obtaining carbon credits, such as writing a business plan or monitoring report and submitting it to the Environment Corporation 220, but small-scale companies that do not have much carbon reduction can obtain carbon credits The profit may not be very large compared to the cost and time required to acquire carbon credits, or it may be a loss. Accordingly, the carbon credit trading system 200 of this embodiment groups a plurality of participants and performs a process of acquiring carbon credits for each group on behalf of the grouped plurality of participants.

The smart contract-based automatic carbon credit trading platform digitizes and safely stores contract contents when contracting with participants, and automatically pays compensation for performance.

The carbon credit trading system 200 is an approach of an automatic carbon credit trading platform based on a smart contract and is based on Decentralized ID (DID). By accessing the private key, you can apply for compensation for authentication performance.

Since the contract contents contain personal information, the carbon credit trading system 200 uses the Zero-knowledge proof (ZKP) concept to record the contract contents in the block chain, rather than to contract the contents with the participants. When viewing the contract by encrypting it individually with the party's private key, it must be decrypted with the contract party's or contract party's private key to be read.

In addition, document forgery allows the hash value of the original to be recorded in the block chain, so that the forgery content can be viewed with the hash value. The smart contract-based automatic carbon credit trading platform is a technology for automatically distributing shares, and in order to confirm the contract, decryption must be possible. Accordingly, the carbon emission trading system 200 has the right to read and decrypt with the private key of the contracting party.

Hereinafter, it will be described with reference to FIGS. 1 and 2 together.

In step S100, the carbon credit trading system 200 registers the carbon reduction method. There may be various methods for reducing carbon. For example, there are a method of replacing an existing fluorescent lamp with an LED, a method of installing an eco-friendly energy generating device such as solar light or a method of using eco-friendly energy, a method of installing a regenerative braking device in an elevator, and the like. However, in addition to this, various carbon reduction methods may exist.

In step S110, the carbon credit trading system 200 recruits participants who generate carbon reduction according to the carbon reduction method. Since the process for acquiring carbon credits takes a lot of time and money, the carbon credit trading system 200 performs the carbon credit acquisition process by tying a plurality of participants 210, rather than performing the carbon credit acquisition process for each individual participant. . For example, the carbon credit trading system 200 recruits a plurality of participants for a certain period after the registration and announcement of the carbon reduction method, or recruits participants until the total amount of carbon reduction of the plurality of participants reaches a predefined reference value. can do. An example of a method for recruiting participants is shown in FIG. 6 .

In another embodiment, when the number of recruited participants is large, the process of acquiring carbon credits for each group may be performed by dividing it into a plurality of groups. As another example, the carbon credit trading system 200 may register and announce a plurality of carbon reduction methods, recruit and group participants for each carbon reduction method. An example of a method for grouping participants is shown in FIGS. 4 and 5 .

In step S120, the carbon credit trading system 200 receives carbon reduction activity histories from a plurality of participants who apply the carbon reduction method (① data transmission).

The carbon reduction activity history may include specific information on how to implement the carbon reduction method along with general information of the participants (eg, company name and address, etc.) and supporting documents. For example, participants who apply the carbon reduction method of replacing lighting equipment from fluorescent lamps to LEDs must include lighting equipment specifications, lighting equipment photos, pre-construction photos, facility layout drawings, replacement estimates and contracts, and post-construction photos of carbon reduction activity history. can be registered as

At this time, since the carbon reduction activity history input for each carbon reduction method may be different from each other, the carbon credit trading system 200 may pre-define the format of the carbon reduction activity content to be input for each carbon reduction method. In this case, the carbon credit trading system 200 presents the input format of the carbon reduction activity history for each carbon reduction method to the participant, and the participant receives information according to the input format of the carbon reduction activity history corresponding to the carbon reduction method they apply. You can submit supporting documents by entering

Furthermore, in step S120, a plurality of participants may be grouped into at least one or more groups according to the carbon reduction method, step S130 by the grouped participants calculates the total amount of carbon reduction for each group, and step S140 is a reduction activity report for each group , and in step S170, carbon credits may be obtained for each group.

In step S130, the carbon credit trading system 200 calculates the total amount of carbon reduction for a plurality of participants based on the carbon reduction calculation method predefined for each carbon reduction method (② quantitative calculation).

A method of calculating the amount of carbon reduction for each carbon reduction method is predefined, and an example thereof is shown in FIG. 3 . For example, in the carbon reduction method of replacing lighting equipment, the amount of carbon emission is calculated by multiplying the power consumption and expected lighting time of the existing fluorescent lamp by a predefined power carbon emission factor (expected carbon emission generated during power generation). Then, when replacing with LED, the amount of carbon emission is calculated by multiplying the power consumption and expected lighting time of the LED by the carbon emission factor. The difference between the carbon emission of LED and the carbon emission of fluorescent lamps becomes the amount of carbon reduction by the carbon reduction method. For example, if LED carbon emission is subtracted from fluorescent lamp carbon emission, the remaining value after deduction becomes carbon emission reduction amount.

For this carbon reduction calculation, the carbon credit trading system 200 records the power consumption and expected lighting time of existing fluorescent lamps, the number of fluorescent lamps replaced with LEDs, etc. from participants who participated in the carbon reduction method of replacing lighting equipment as part of the carbon reduction activity history. can be input.

In step S140, the carbon credit trading system 200 generates a reduction activity report by automating the carbon reduction activity history according to the report standard format template (③ report generation).

The carbon credit trading system 200 may generate a reduction activity report of the business plan when the total amount of carbon reduction of a plurality of participants applying the same carbon reduction method reaches a preset standard. Since the carbon credit trading system 200 applies the same carbon reduction method to a plurality of participants, it is possible to generate one business plan in which a plurality of participants are grouped. The business plan may include information on the carbon reduction activities of each participant, the total amount of carbon reduction, and the duration of the carbon reduction activities. The carbon credit trading system 200 may automatically generate all or part of the business plan by reflecting the carbon reduction activity history of each participant in the report standard form template of the business plan registered in advance. For example, the carbon credit trading system 200 trains an artificial intelligence model using learning data that labels the common content area or participant area for each carbon reduction method, and uses the learned artificial intelligence model to create a report standard form template. A participant area can be identified, and a reduction activity report can be generated by inputting the participant area as the carbon reduction activity history of each participant, an example of which is shown in FIGS. 7 to 9 .

Moreover, the carbon credit trading system 200 may form a report standard template of the reduction activity report in advance, and may define data items of fixed values, variable values and optional values. The report standard form template is formed as a manual template or automatic template, and the reduction activity report has a fixed value, which is a value that is fixed even if the document is changed in the report standard form template, and a value that changes for each document (e.g., location of business site and amount of carbon reduction activity) etc.) and can be defined as three data items: a variable value and a selection value, which is an optional item input for each methodology.

In this case, the manual template is manually entered by the administrator, and the template is created by a human being, and the automatic template is formed by machine learning, and may be standardized by learning the fixed value part of an existing document.

Accordingly, in the report standard template of the reduction activity report, when a participant inputs data corresponding to a variable value and a selected value, the carbon credit trading system 200 enters a fixed value according to the previously formed format and A reduction activity report is automatically generated.

In steps S150 and S160, the carbon credit trading system 200 requests project approval for carbon credits from the Environment Corporation 220 based on the reduction activity report, and upon receiving approval, the carbon reduction activities of the participants for a certain period of time A monitoring report can be generated for (④ request for approval and ⑤ approval of emission permits).

For example, the carbon credit trading system 200 may generate a monitoring report on the carbon reduction activities of the participants during the performance period described in the reduction activity report. The monitoring report is the content of the reduction activity report, and it is a report that shows whether the participant has engaged in carbon reduction activities and includes the actual amount of carbon emission. For example, if it is possible to calculate the power consumption for lighting only, after calculating the carbon emission based on the actual lighting power usage and the actual LED lighting usage, the carbon reduction can be calculated. As another example, if it is impossible to calculate the electricity consumption for lighting only, it is possible to calculate the carbon emission by describing the normally allowed lighting time as in the reduction activity report, and subtracting the fluorescent lamp and LED to calculate the carbon reduction. Accordingly, the carbon credit trading system 200 generates a monitoring report using the calculated carbon reduction amount.

In addition, the monitoring report can be prepared based on the on-site inspection of each participant's carbon reduction activities. The carbon credit trading system 200 may automatically generate all or part of the monitoring report based on the pre-registered monitoring report format as the result of on-site inspection, and an artificial intelligence model may be used as an example. This will be described with reference to FIGS. 7 to 9 .

According to an embodiment, the carbon credit trading system 200 may form a standard report template of the monitoring report, and the standard report template may also be formed as a manual template or an automatic template.

In step S170, the carbon credit trading system 200 acquires carbon credits for carbon reductions of a plurality of participants. Step S170 may acquire carbon credits for carbon reductions of a plurality of participants based on the monitoring report generated in step S160. Carbon credits may be carbon credits for the total amount of carbon reduction in a group unit including a plurality of participants.

In step S180, the carbon credit trading system 200 may sell the carbon credits to a plurality of consumers 230 (⑥ sale of carbon credits). For example, the carbon credit trading system 200 publishes information on the use of carbon credits and carbon credits on a smart contract-based automatic trading platform for carbon credits, and receives requests from a plurality of consumers 230 in contact with the transaction mode As a result, carbon credits can be sold to a plurality of consumers 230 . Accordingly, the consumer pays the amount used for the use of carbon credits to the carbon credit trading system 200 (⑦ payment).

In step S190, the carbon credit trading system 200 pays the sales amount of carbon credits according to the carbon reduction amount and the share ratio of a plurality of participants (⑧ profit distribution). The carbon credit trading system 200 may calculate the distribution of each participant according to the carbon reduction amount and share ratio of a plurality of participants, and distribute the sale amount of carbon credits. For example, if Plant A reduced carbon emissions by 30 and Plant B reduced carbon emissions by 70, the sales amount of 30 won could be distributed to Plant A and 70 won to Plant B.

Furthermore, the carbon credit trading system 200 can use a smart contract to transparently manage the distribution of contracts and sales amount of participants participating in the carbon reduction method, and the contribution rate of carbon credits based on the smart contract with a plurality of participants In accordance with this, electronic money can be paid to each participant. An example of this will be described in detail with reference to FIG. 10 .

The carbon credit trading system 200 according to an embodiment of the present invention may calculate the approval probability and pass line of the Korea Environment Corporation for the reduction activity report when generating the reduction activity report in step S140. Specifically, the carbon credit trading system 200 can calculate in advance the probability that the generated reduction activity report will be approved by the Environment Corporation 220, which is a carbon reduction activity by the carbon reduction method of the participant input in the reduction activity report. The scores of each item are summed up according to the history, and can be calculated using the approval probability of the previous similar report or the approval history of the corresponding participant.

Accordingly, in step S190, the carbon credit trading system 200 reflects the numerical value of the approval probability as a weight when distributing the carbon credit sales amount according to the carbon reduction amount and share ratio of each participant as a weight. It can be adjusted and distributed. For example, if Plant A reduced carbon emissions by 30 and Plant B reduced carbon emissions by 70, but Plant A had a high approval probability and Plant B had a low approval probability, weight was added to Plant A and A sales amount of 30 won to 50 won may be allocated to , and a sales amount of 50 to 70 won may be allocated to business site B.

3 shows an example of a carbon reduction calculation method for each carbon reduction method according to an embodiment of the present invention.

Referring to FIG. 3 , the carbon credit trading system 200 may map the carbon reduction methods 300 , 310 , and 320 to register and store the carbon reduction calculation method in advance. In addition, the format of the carbon reduction activity to be input from the participant by mapping with the carbon reduction method 300, 310, 320 can also be registered and stored in advance. The carbon reduction activity history to be input for each carbon reduction method 300 , 310 , 320 may include information necessary for the carbon reduction calculation method of the carbon reduction method.

4 illustrates an example of a method for grouping participants according to an embodiment of the present invention.

Referring to FIG. 4 , the carbon credit trading system 200 may register and announce at least one or more carbon reduction methods, and recruit participants for each carbon reduction method. For example, if the first participant 400, the third participant 404, and the fourth participant 406 apply for the first carbon reduction method, the carbon credit trading system 200 will A first group 450 consisting of 3 participants 404 and 4th participant 406 may be created, and the 2nd participant 402, 5th participant 408, and Nth participant 410 are the second carbon When the reduction method is applied, the carbon credit trading system 200 may create a second group 460 consisting of the second participant 402 , the fifth participant 408 , and the Nth participant 410 . If a participant applies the first carbon reduction method and the second carbon reduction method at the same time, the participant will participate in both the first group 450 of the first carbon reduction method and the second group 460 of the second carbon reduction method. can

In another embodiment, a plurality of participants select the carbon reduction method they want to apply regardless of whether the registration of the carbon reduction method of the carbon credit trading system 200 is notified and obtain carbon credits in the carbon credit trading system 200 can apply In this case, the carbon credit trading system 200 may group them into one group if the size of the participants who applied for the same carbon reduction method is above a certain level. An example of this is shown in FIG. 6 .

5 illustrates another example of a method for grouping participants according to an embodiment of the present invention.

Referring to FIG. 5 , the carbon credit trading system 200 may divide a plurality of participants 500 to 508 participating in the same carbon reduction method into a plurality of groups 510 and 520 . For example, when all of the first to Nth participants 500 to 508 apply the first carbon reduction method, the carbon credit trading system 200 sets the total amount of carbon reduction for each group 510 and 520 (for example, , 500 tons) may be divided into a plurality of groups 510 and 520 so that the plurality of participants 500 to 508 are of a certain size. The carbon credit trading system 200 performs a process of acquiring carbon credits for each group 510 and 520 . That is, a reduction activity report for the first group 510 and a reduction activity report for the second group 520 are generated, respectively, and the carbon credits of the first group 510 and the second group 520 are obtained, respectively. .

While the example of FIG. 4 groups a plurality of participants by carbon reduction method, the example of FIG. 5 groups a plurality of participants participating in the same carbon reduction method, and the embodiments of FIGS. 4 and 5 may be applied simultaneously.

6 is a flowchart illustrating an example of a method for grouping participants according to an embodiment of the present invention.

Referring to FIG. 6 , the carbon credit trading system 200 receives an application for obtaining carbon credits from a participant (S600). Participants select the carbon reduction method to be applied when applying for carbon credits.

The carbon credit trading system 200 calculates the total carbon reduction amount of the participants by carbon reduction method (S610). For example, if the number of participants who applied for the first carbon reduction method is 10, the total carbon reduction amount is obtained by adding up the carbon reduction amount of these 10 participants. If the number of participants who applied for the second carbon reduction method is 12, these The total carbon reduction is calculated by adding up the carbon reductions of the 12 participants.

The carbon credit trading system 200 groups the plurality of participants participating in the carbon reduction method into a group when the total amount of carbon reduction by each carbon reduction method is equal to or greater than a predefined reference value (S620). In the above example, if the total carbon reduction of the 10 participants who applied for the first carbon reduction method is less than the reference value, the carbon credit trading system 200 waits until more participants gather. After that, when a new participant participates in the first carbon reduction method and the total carbon reduction is equal to or greater than the reference value, the carbon credit trading system 200 groups a total of 11 participants into one group. Afterwards, when the participant again applies for the first carbon reduction method, the carbon credit trading system 200 waits for registration of other participants until the total amount of carbon reduction exceeds a certain level.

7 illustrates an example of a learning process of an artificial intelligence model for generating a report according to an embodiment of the present invention.

Hereinafter, a process of generating a report using an artificial intelligence model will be described with reference to FIGS. 7 to 9 . The carbon credit trading system 200 of the present invention forms a standard report template for a reduction activity report and a monitoring report, respectively, and the report standard format template may be formed as a manual template or an automatic template. Accordingly, the mitigation activity report and monitoring report have a format formed by a manual template or an automatic template, and are defined as data items of fixed values, variable values and optional values, and the participant fields of variable and optional values are input by participants. Then, the AI model fills in the common content area of fixed values to generate a report.

According to an embodiment, the manual template is manually input by the manager of the carbon credit trading system 200, and a person can directly form a fixed value for each template. In addition, the automatic template can be formed as a standard by the artificial intelligence model learning the fixed value part of the existing document.

In this case, the standard report template may be different depending on the report types of the reduction activity report and monitoring report, and may be manually configured, automatically configured, or configured by machine learning.

In addition, the automatic report generation according to an embodiment of the present invention can generate a reduction activity report and a monitoring report in a PDF format file in a method similar to a standard report based on a carbon reduction activity history. At this time, the carbon credit trading system 200 may use a method of transforming the web in the same format as the submission form, and then storing it as a PDF.

7 to 9 below, a process of generating a reduction activity report and a monitoring report by using an artificial intelligence model in a report standard form template of an automatic template generated through an artificial intelligence model will be described. Hereinafter, only the process of generating the reduction activity report of the business plan is described, but it is natural that the same applies to the monitoring report.

Referring to FIG. 7 , in order to automatically generate various reports, a learning process of the artificial intelligence model 700 is required. The artificial intelligence model 700 is a model generated through a learning process through deep learning or machine learning, and the learning data of the artificial intelligence model 700 is various labeled reports.

In this embodiment, a plurality of participants are made into one group to generate one reduction activity report and one monitoring report for the group. Therefore, in the reduction activity report and monitoring report, there are parts that are common to each participant and that must be described according to the carbon reduction activity history of each participant. Learning data can be created by labeling the common content area and/or participant area in a plurality of previously created reduction activity reports or monitoring reports. In this case, the common content area may be a fixed value, and the participant area may be a variable value and a selection value.

The artificial intelligence model 700 is learned to distinguish the common content area and the participant area by using the labeled reduction activity report (or monitoring report) as learning data. For example, when the artificial intelligence model 700 receives learning data, it outputs a result of predicting a common content area or a participant area from the learning data, and a learning process that compares the prediction result with the learning data and adjusts parameters, etc. can be performed. For example, if the report format is different for each carbon reduction method, each AI model may be generated through a learning process for each carbon reduction method.

Since the reduction activity report consists of a title and a content, the AI model 700 is learned to distinguish the common content area and the participant area for each title, and also learns what the common content area and the participant area are input for each title. can be In this case, the AI model can divide the report's common content area and the participant area, and search and fill in the information required for that area in the database. An example of this is shown in FIG. 9 .

8 is a flowchart illustrating an example of a method for generating a report using an artificial intelligence model according to an embodiment of the present invention.

Referring to FIG. 8 , the carbon credit trading system 200 identifies the common content area and/or participant area of the reduction activity report format using the learned artificial intelligence model (S800). The carbon credit trading system 200 automatically fills the participant area based on the reduction activity history input by each participant (S810). For example, if the reduction activity report format consists of titles, the carbon credit trading system 200 uses the learned artificial intelligence model to classify participant areas for each title, and input the contents to be input in the participant information to each participant. It can fill the reduction activity report by extracting it from the carbon reduction activity history of As another example, if the reduction activity report format is the most recent business plan for the same carbon reduction method as the carbon reduction method of the reduction activity report to be generated, and the common content area can be used as it is, the carbon credit trading system 200 is It is possible to automatically generate a reduction activity report by leaving the common content area of the most recent reduction activity report as it is and changing only the contents of the participant area, which changes depending on the participant.

9 shows an example of another method of generating a report using an artificial intelligence model according to an embodiment of the present invention.

Referring to FIG. 9 , the carbon credit trading system 200 can automatically fill both the common content area and the participant area of the reduction activity report format using the artificial intelligence model 920 .

Various types of information entering the common content area exist in the common content database 900 . The common content database 900 stores various information of the common content area existing in the reduction activity report for each carbon reduction method in the form of sentences or paragraphs, tables, figures, numbers, and the like. The learned artificial intelligence model 920 can classify the common content area by title in the reduction activity report format, and fill the reduction activity report by searching the common content database 900 for information to be entered into the common content area.

In addition, the artificial intelligence model 920 can search the carbon reduction activity history input by each participant in the participant database 910 and fill the participant area for each title of the reduction activity report. Although this embodiment mainly describes the reduction activity report, the monitoring report can also be automatically filled in whole or in part in the same way.

10 is a flowchart showing an example of a method of processing a contract for a carbon credit application as a smart contract according to an embodiment of the present invention.

Referring to FIG. 10 , the carbon credit trading system 200 concludes a blockchain-based smart contract with each participant for the carbon reduction method (S1000). A smart contract is a type of program that automatically executes a contract when a predefined condition is satisfied.

Accordingly, when carbon credits are sold (S1010), the carbon credit trading system 200 automatically distributes the sales amount in proportion to the carbon reduction amount of each participant according to the smart contract (S1020). As another example, when carbon credits are sold, the carbon credit trading system 200 may distribute blockchain-based electronic money to each participant, not real money, according to a smart contract.

11 is a block diagram illustrating a detailed configuration of a carbon credit trading system according to an embodiment of the present invention.

Referring to FIG. 11 , the carbon credit trading system according to an embodiment of the present invention safely stores contract details through a platform and pays compensation for performance.

To this end, the carbon credit trading system 200 according to an embodiment of the present invention includes a receiving unit 1110, a carbon reduction calculation unit 1120, a report generating unit 1130, a carbon credit acquisition unit 1140, and an amount payment unit ( 1150).

The receiver 1110 receives carbon reduction activity histories from a plurality of participants who apply the carbon reduction method.

The carbon reduction activity history may include specific information on how to implement the carbon reduction method along with general information of the participants (eg, company name and address, etc.) and supporting documents. For example, participants who apply the carbon reduction method of replacing lighting equipment from fluorescent lamps to LEDs must include lighting equipment specifications, lighting equipment photos, pre-construction photos, facility layout drawings, replacement estimates and contracts, and post-construction photos of carbon reduction activity history. can be registered as

At this time, since the carbon reduction activity history input for each carbon reduction method may be different from each other, the carbon credit trading system 200 may pre-define the format of the carbon reduction activity content to be input for each carbon reduction method. In this case, the carbon credit trading system 200 presents the input format of the carbon reduction activity history for each carbon reduction method to the participant, and the participant receives information according to the input format of the carbon reduction activity history corresponding to the carbon reduction method that the participant applies. You can submit supporting documents by entering

The carbon reduction calculation unit 1120 calculates the total amount of carbon reduction for a plurality of participants based on a previously defined carbon reduction calculation method for each carbon reduction method.

For example, in the carbon reduction method of replacing lighting equipment, the carbon reduction calculation unit 1120 calculates carbon emission by multiplying the power consumption and expected lighting time of the existing fluorescent lamp by a predefined power carbon emission factor. Then, when replacing with LED, the amount of carbon emission is calculated by multiplying the power consumption and expected lighting time of the LED by the carbon emission factor. The difference between the carbon emission of LED and the carbon emission of fluorescent lamps becomes the amount of carbon reduction by the carbon reduction method. For carbon reduction calculation, the carbon reduction calculation unit 1120 inputs, as part of the carbon reduction activity history, the power consumption and expected lighting time of existing fluorescent lamps, the number of fluorescent lamps replaced with LEDs, etc. from participants who participated in the carbon reduction method of replacing lighting equipment. can receive

The report generating unit 1130 generates a reduction activity report by automating the carbon reduction activity history in accordance with the report standard format template.

The report generating unit 1130 may generate a reduction activity report of the business plan when the total amount of carbon reduction of a plurality of participants applying the same carbon reduction method reaches a preset standard. Since a plurality of participants apply the same carbon reduction method, the report generator 1130 may generate one business plan in which a plurality of participants are grouped. The business plan may include information on the carbon reduction activities of each participant, the total amount of carbon reduction, and the duration of the carbon reduction activities. The report generation unit 1130 may automatically generate all or part of the business plan by reflecting the carbon reduction activity history of each participant in the report standard form template of the pre-registered business plan. For example, the report generation unit 1130 trains the artificial intelligence model using learning data that labels the common content area or participant area for each carbon reduction method, and uses the learned artificial intelligence model to participate in the report standard form template. A reduction activity report can be created by identifying the area and entering the participant area as the carbon reduction activity history of each participant.

Moreover, the report generating unit 1130 may form a report standard form template of the reduction activity report in advance, and may be defined as data items of fixed values, variable values and optional values. The report standard form template is formed as a manual template or automatic template, and the reduction activity report has a fixed value, which is a value that is fixed even if the document is changed in the report standard form template, and a value that changes for each document (e.g., location of business site and amount of carbon reduction activity) etc.) and can be defined as three data items: a variable value and a selection value, which is an optional item input for each methodology.

In this case, the manual template is manually entered by the administrator, and the template is created by a human being, and the automatic template is formed by machine learning, and may be standardized by learning the fixed value part of an existing document.

Accordingly, in the report standard form template of the reduction activity report, when the participant inputs data corresponding to the variable value and the selected value, the report generating unit 1130 inputs a fixed value according to the previously formed format to reduce the reduction of the participant. An activity report will be automatically generated.

The carbon credit acquisition unit 1140 requests project approval for carbon credits from the Korea Environment Corporation based on the reduction activity report, and acquires carbon credits for carbon reductions of a plurality of participants according to the approval.

The carbon credit trading system 200 requests project approval for carbon credits from the Environment Corporation 220 based on the reduction activity report, and upon receiving approval, a monitoring report on the carbon reduction activities of the participants for a certain period can be generated. have. The carbon credit acquisition unit 1140 may acquire carbon credits for the carbon reduction amount of a plurality of participants based on the generated monitoring report. Carbon credits may be carbon credits for the total amount of carbon reduction in a group unit including a plurality of participants.

The amount payment unit 1150 pays the sales amount of carbon credits according to the carbon reduction amount of a plurality of participants and distribution according to the share ratio.

The amount payment unit 1150 may calculate the distribution of each participant according to the carbon reduction amount and share ratio of the plurality of participants, and distribute the sale amount of carbon credits. For example, if Plant A reduced carbon emissions by 30 and Plant B reduced carbon emissions by 70, the amount payment unit 1150 distributes the sales amount of 30 won to Plant A and 70 won to Plant B. The sales amount can be distributed.

Furthermore, the amount payment unit 1150 can use a smart contract to transparently manage the contract and distribution of sales amount of participants participating in the carbon reduction method, and based on the smart contract with a plurality of participants, the contribution rate of carbon credits Accordingly, electronic money can be paid to each participant.

When generating a reduction activity report through the report generating unit 1130, the carbon credit trading system 200 according to an embodiment of the present invention may calculate the approval probability and pass line of the Korea Environment Corporation for the reduction activity report. Specifically, the carbon credit trading system 200 can calculate in advance the probability that the generated reduction activity report will be approved by the Environment Corporation 220, which is a carbon reduction activity by the carbon reduction method of the participant input in the reduction activity report. The scores of each item are summed up according to the history, and can be calculated using the approval probability of the previous similar report or the approval history of the corresponding participant.

Accordingly, in step S190, the carbon credit trading system 200 reflects the numerical value of the approval probability as a weight when distributing the carbon credit sales amount according to the carbon reduction amount and share ratio of each participant as a weight. It can be adjusted and distributed. For example, if Plant A reduced carbon emissions by 30 and Plant B reduced carbon emissions by 70, but Plant A had a high approval probability and Plant B had a low approval probability, weight was added to Plant A and A sales amount of 30 won to 50 won may be allocated to , and a sales amount of 50 to 70 won may be allocated to business site B.

Although the description of the system of FIG. 11 is omitted, it is apparent to those skilled in the art that the system according to the present invention may include all the contents described with reference to FIGS. 1 to 10 .

The system or apparatus described above may be implemented as a hardware component, a software component, and/or a combination of the hardware component and the software component. For example, devices and components described in the embodiments may include, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate array (FPGA). , a programmable logic unit (PLU), microprocessor, or any other device capable of executing and responding to instructions, may be implemented using one or more general purpose or special purpose computers. The processing device may execute an operating system (OS) and one or more software applications executed on the operating system. A processing device may also access, store, manipulate, process, and generate data in response to execution of the software. For convenience of understanding, although one processing device is sometimes described as being used, one of ordinary skill in the art will recognize that the processing device includes a plurality of processing elements and/or a plurality of types of processing elements. It can be seen that can include For example, the processing device may include a plurality of processors or one processor and one controller. Other processing configurations are also possible, such as parallel processors.

Software may comprise a computer program, code, instructions, or a combination of one or more thereof, which configures a processing device to operate as desired or is independently or collectively processed You can command the device. The software and/or data may be any kind of machine, component, physical device, virtual equipment, computer storage medium or apparatus, to be interpreted by or to provide instructions or data to the processing device. , or may be permanently or temporarily embody in a transmitted signal wave. The software may be distributed over networked computer systems and stored or executed in a distributed manner. Software and data may be stored in one or more computer-readable recording media.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, etc. alone or in combination. The program instructions recorded on the medium may be specially designed and configured for the embodiment, or may be known and available to those skilled in the art of computer software. Examples of the computer-readable recording medium include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic such as floppy disks. - includes magneto-optical media, and hardware devices specially configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. Examples of program instructions include not only machine language codes such as those generated by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

As described above, although the embodiments have been described with reference to the limited embodiments and drawings, various modifications and variations are possible from the above description by those skilled in the art. For example, the described techniques are performed in an order different from the described method, and/or the described components of the system, structure, apparatus, circuit, etc. are combined or combined in a different form than the described method, or other components Or substituted or substituted by equivalents may achieve an appropriate result.

Therefore, other implementations, other embodiments, and equivalents to the claims are also within the scope of the following claims.

Claims (12)

In the carbon credit trading method performed by the carbon credit trading system,
Receiving a carbon reduction activity history from a plurality of participants applying the carbon reduction method;
Calculating the total amount of carbon reduction for the plurality of participants based on a previously defined carbon reduction calculation method for each carbon reduction method;
generating a reduction activity report by automating the carbon reduction activity history in accordance with the report standard template template;
requesting project approval for carbon credits from the Korea Environment Corporation based on the reduction activity report, and obtaining carbon credits for the carbon reduction amount of the plurality of participants according to the approval; and
Paying the sales amount of the carbon credits according to the carbon reduction amount of the plurality of participants and distribution according to the share ratio
A method of trading carbon credits, including According to claim 1,
The step of receiving the carbon reduction activity history from the plurality of participants is
Grouping the plurality of participants into at least one group according to the carbon reduction method,
The step of calculating the total amount of carbon reduction for the plurality of participants is
Calculate the total amount of carbon reduction for each group,
The reduction activity report is generated for each group,
The carbon credit trading method, characterized in that the carbon credits are acquired for each group. According to claim 1,
The step of generating the reduction activity report is
A carbon credit trading method in which the reduction activity report of the business plan is generated when the total amount of carbon reduction of a plurality of participants applying the same carbon reduction method reaches a preset standard. According to claim 1,
The step of generating the reduction activity report is
learning the artificial intelligence model using learning data labeled with a common content area or a participant area for each carbon reduction method;
identifying a participant area of the report standard form template using the learned artificial intelligence model; and
Generating the reduction activity report by inputting the participant area as the carbon reduction activity history of each participant
A carbon credit trading method comprising a. 5. The method of claim 4,
The report standard form template is
A carbon credit trading method that is formed by a preset manual template or an automatic template set using an artificial intelligence model learned by machine learning, and is defined as data items of fixed values, variable values, and selected values. 4. The method of claim 3,
The step of acquiring the carbon credits is
generating a monitoring report for carbon reduction activities for a certain period after receiving project approval from the Korea Environment Corporation based on the reduction activity report; and
Acquiring the carbon credits for the carbon reduction amount of the plurality of participants based on the monitoring report
Including, carbon credit trading method. According to claim 1,
The step of paying the sales amount of the carbon credits is
selling the carbon credits to a plurality of consumers in a transaction mode;
receiving a sales amount for the use of the carbon credits from the plurality of consumers; and
Calculating the distribution of each participant according to the carbon reduction amount and share ratio of the plurality of participants, and distributing the sales amount of the carbon credits
Including, carbon credit trading method. 8. The method of claim 7,
The step of distributing the sales amount of the carbon credits is
A carbon credit trading method in which electronic money is paid to each participant according to the contribution rate of the carbon credits based on the smart contract with the plurality of participants. According to claim 1,
The step of generating the reduction activity report is
Calculating the probability of approval of the Environment Corporation for the reduction activity report
A carbon credit trading method, characterized in that it further comprises. 10. The method of claim 9,
The step of paying the sales amount of the carbon credits is
A carbon credit trading method, characterized in that the approval probability is reflected when calculating the distribution according to the carbon reduction amount and share ratio of the participants. a receiver for receiving carbon reduction activity histories from a plurality of participants who apply the carbon reduction method;
a carbon reduction calculation unit for calculating the total amount of carbon reduction for the plurality of participants based on a previously defined carbon reduction calculation method for each carbon reduction method;
a report generation unit for generating a reduction activity report by automating the carbon reduction activity history according to the report standard template;
a carbon credit acquisition unit that requests project approval for carbon credits from the Environment Corporation based on the reduction activity report, and acquires carbon credits for the carbon reduction amount of the plurality of participants according to the approval; and
An amount payment unit that pays the sales amount of the carbon credits according to the carbon reduction amount of the plurality of participants and distribution according to the share ratio
A carbon credit trading system that includes. A computer-readable recording medium in which a program for performing the method according to any one of claims 1 to 10 is recorded.

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