KR20220093511A - Method for greenhouse gas reduction certification and trading carbon credit using livestock information, and system thereof - Google Patents

Abstract

The present invention relates to a method and system for certifying reduction of greenhouse gas emissions and trading carbon credits by using information about livestock. According to an embodiment of the present invention, the method is a method performed in a system for performing authentication for the livestock, which includes the steps of: obtaining information about the livestock; extracting information related to a carbon emission amount from the obtained information; calculating, on the basis of the extracted information, a predicted carbon emission amount of the livestock or an actual livestock carbon emission amount; and certifying the livestock as a low-carbon certified livestock, when the calculated carbon emission amount is lower than a reference carbon emission amount.

Description

Method and system for greenhouse gas reduction certification and carbon credit trading using livestock information

The present invention relates to a greenhouse gas reduction technology, and more particularly, to a method and system for greenhouse gas reduction certification and carbon credit trading using livestock information such as genome information, and a system thereof.

GHG emissions, which are rapidly increasing with industrial development, have a significant impact on climate change. Countries around the world are making efforts to reduce greenhouse gas emissions. In other words, countries around the world are aiming to reduce carbon emissions by 50% by 2030 by signing climate agreements.

For example, the global carbon emission amounted to more than 49 billion tons per year (equivalent to carbon dioxide), of which carbon emission from the livestock sector accounts for about 16.5%. In addition, the share of meat-related sectors in carbon emissions from the livestock sector is over 61% (FAO, 2017). The reason why the share of carbon emissions in the livestock sector is large is that methane (about 28 times that of carbon dioxide), which has a high greenhouse gas effect, is generated a lot during the intestinal fermentation of livestock, manure, and manure treatment. For example, the amount of carbon emitted by four cows is equivalent to one vehicle (FAO, 2006).

Meanwhile, the price of carbon credits is increasing every year. In particular, the global livestock sector's carbon emissions amount to about 8 billion tons per year. If this is reduced by 10%, about 800 million tons of carbon emissions can be reduced annually, which can contribute to the development of a low-carbon economy by reducing climate change and forming a new carbon credit market. For example, if 5 million tons of annual carbon emissions are reduced in the domestic livestock sector, it is possible to reduce the cost of purchasing carbon credits by about 200 billion won per year, as well as create new jobs in the carbon credit market and build a low-carbon industrial ecosystem.

As part of an effort to reduce carbon emissions in the livestock sector, there is a prior art such as KR10-2014-0055882 A for reducing methane emissions of livestock through a specific feed. However, in the case of this prior art, the carbon emission reduction amount can be calculated only based on the amount of raw and subsidiary materials such as feed input in the production process of livestock, so there is a problem that cannot be applied in the livestock selection stage.

In addition, in order to establish a low-carbon agricultural and livestock industry, certification is granted for low-carbon agricultural and livestock products. In this case, the low-carbon certification can be granted when the actual carbon emission for each item is reduced by a certain level or more (for example, by 3% or more) from the set standard carbon emission. However, in the case of such a conventional low-carbon certification, since the certification is given by calculating the amount of carbon emission reduction based on the completion of production of livestock, there is still a problem that cannot be applied to the step of selecting livestock.

In other words, carbon emission reduction in the livestock sector starts with the selection of excellent livestock related to carbon emission reduction, and based on this, various process improvement technologies (e.g., production efficiency improvement, improvement of input nutrient efficiency through precise growth/specialization, other operations) /transportation/storage efficiency improvement, etc.) can be applied. However, there is currently no technology related to the selection of livestock related to the reduction of carbon emission.

KR10- 2014-0055882 A

In order to solve the problems of the prior art as described above, an object of the present invention is to provide a technology for reducing greenhouse gas emissions in the livestock field applicable based on the prediction of carbon emission for the livestock from the livestock selection stage.

However, the problems to be solved by the present invention are not limited to the problems mentioned above, and other problems not mentioned can be clearly understood by those of ordinary skill in the art to which the present invention belongs from the description below. There will be.

A method according to an embodiment of the present invention for solving the above problems is a method performed in a system for performing authentication for livestock, comprising: acquiring information about livestock; extracting information related to carbon emission from the obtained information; calculating the predicted carbon emission amount of the livestock or the actual livestock product carbon emission amount based on the extracted information; and when the calculated carbon emission is lower than the reference carbon emission, authenticating the livestock as a low-carbon certified livestock.

The obtained information may be history information or genome information of the livestock.

The method according to an embodiment of the present invention may further include transmitting authentication information on the low-carbon certified livestock to a trading system that performs a carbon credit transaction based on the carbon reduction amount of the low-carbon certified livestock.

Transmitting the authentication information may include calculating the predicted carbon reduction amount of the low-carbon certified livestock and transmitting it together with the authentication information, and the transaction system is based on the predicted carbon reduction amount of the low-carbon certified livestock. Conduct carbon credit trading, but may conduct futures trading.

Transmitting the authentication information may include calculating the actual amount of carbon reduction in livestock products of the low-carbon certified livestock by using the slaughter history information of the low-carbon certified livestock and transmitting it together with the authentication information, the transaction system is Carbon credit trading may be performed based on the actual amount of carbon reduction in livestock products.

An electronic device according to an embodiment of the present invention includes: a memory storing information on livestock; and a control unit that processes using the stored information; wherein the control unit extracts information related to carbon emission from the stored information, and based on the extracted information, the predicted carbon emission amount of the livestock or the actual livestock product carbon emission amount , and when the calculated carbon emission is less than the reference carbon emission, the livestock is authenticated as a low-carbon certified livestock.

A system according to an embodiment of the present invention includes: an authentication system for performing authentication using information on livestock; and a trading system for performing a carbon emission credit transaction based on the carbon reduction amount of livestock certified in the authentication system; including, the authentication system,

When information related to carbon emission is extracted from the information on the livestock, the predicted carbon emission of the livestock or the actual livestock product carbon emission is calculated based on the extracted information, and the calculated carbon emission is less than the reference carbon emission , to certify the livestock as a low-carbon certified livestock.

The present invention configured as described above has an advantage in that it is possible to realize reduction of greenhouse gas emissions in the livestock sector based on the prediction of carbon emissions for the corresponding livestock from the livestock selection stage.

That is, the present invention provides a low-carbon business model that accelerates the selection of excellent breeders and livestock to respond to climate change by predicting carbon emissions and giving environmental economic values by using genome information from the livestock selection stage, and national and social It has the advantage of contributing to the achievement of the global carbon emission reduction target by contributing to the establishment of policies and systems and the trading of carbon credits in the livestock sector.

The effects obtainable in the present invention are not limited to the above-mentioned effects, and other effects not mentioned may be clearly understood by those of ordinary skill in the art to which the present invention belongs from the following description. will be.

1 shows a block diagram of a system 1 according to an embodiment of the present invention.
2 shows an example of an electronic device connecting to the system 1 according to an embodiment of the present invention.
3 shows another example of an electronic device connecting to the system 1 according to an embodiment of the present invention.
4 shows a block diagram of the authentication system 100 and the transaction system 200 .
5 is a flowchart of an authentication and transaction method according to an embodiment of the present invention.

The above object and means of the present invention and its effects will become more apparent through the following detailed description in relation to the accompanying drawings, and accordingly, those of ordinary skill in the art to which the present invention pertains can easily understand the technical idea of the present invention. will be able to carry out In addition, in describing the present invention, if it is determined that a detailed description of a known technology related to the present invention may unnecessarily obscure the gist of the present invention, the detailed description thereof will be omitted.

The terminology used herein is for the purpose of describing the embodiments, and is not intended to limit the present invention. In the present specification, the singular form also includes the plural form as the case may be, unless otherwise specified in the phrase. In this specification, terms such as “include”, “provide”, “provide” or “have” do not exclude the presence or addition of one or more other components other than the mentioned components.

In this specification, terms such as “or” and “at least one” may indicate one of the words listed together, or a combination of two or more. For example, “A or B” and “at least one of A and B” may include only one of A or B, or both A and B.

In the present specification, descriptions according to “for example” and the like may not exactly match the information presented, such as recited properties, variables, or values, tolerances, measurement errors, limits of measurement accuracy, and other commonly known factors The embodiments of the present invention according to various embodiments of the present invention should not be limited by effects such as modifications including .

In this specification, when it is described that a certain element is 'connected' or 'connected' to another element, it may be directly connected or connected to the other element, but other elements may exist in between. It should be understood that there may be On the other hand, when it is said that a certain element is 'directly connected' or 'directly connected' to another element, it should be understood that there is no other element in the middle.

In this specification, when it is described that a certain element is 'on' or 'in contact with' another element, it may be directly in contact with or connected to the other element, but another element may exist in the middle. It should be understood that On the other hand, when it is described that a certain element is 'directly on' or 'directly' of another element, it may be understood that another element does not exist in the middle. Other expressions describing the relationship between the elements, for example, 'between' and 'directly between', etc. may be interpreted similarly.

In this specification, terms such as 'first' and 'second' may be used to describe various components, but the components should not be limited by the above terms. In addition, the above terms should not be construed as limiting the order of each component, and may be used for the purpose of distinguishing one component from another. For example, a 'first component' may be referred to as a 'second component', and similarly, a 'second component' may also be referred to as a 'first component'.

Unless otherwise defined, all terms used herein may be used with meanings commonly understood by those of ordinary skill in the art to which the present invention pertains. In addition, terms defined in a commonly used dictionary are not to be interpreted ideally or excessively unless specifically defined explicitly.

Hereinafter, a preferred embodiment according to the present invention will be described in detail with reference to the accompanying drawings.

1 shows a block diagram of a system (hereinafter, referred to as “the present system”) 1 according to an embodiment of the present invention. 2 and 3 show various examples of electronic devices connected to the present system 1 .

Selection of excellent breeders or livestock (hereinafter referred to as "livestock") in the livestock field is made with the main purpose of improving economic characteristics. In order to select livestock with excellent economic traits and improve the selection efficiency, genome information of livestock can be utilized. However, environmental characteristics such as carbon emission are not included in the selection of livestock. Therefore, in order to achieve the carbon emission reduction goal in the livestock sector, it is necessary to use the genome information of the livestock from the excellent livestock selection stage to predict and select the value of the carbon emission reduction trait and apply it to livestock production.

In other words, the technology to select excellent livestock is considered as an important technology to increase the economic value of the group. 'Annual selection response' is a statistic that reflects how well the selection was performed from the viewpoint of the group on an annual basis, and is affected by selection intensity, selection accuracy, and genetic variance (standard deviation). When selecting individuals from livestock farms based on such a selection response study, conventionally, selection was mainly based on the breeding value of male seed and livestock by a posteriori test. At this time, the accuracy of cow breeders that depend on pedigree information that reflects only limited relational information is very low (generally, if the heredity is 0.49, the selection accuracy is 0.7 during the progeny test, but if there is no individual or progeny record, the accuracy is very low. is 0.35).

If, within the existing breeding system, the breeding value can be estimated using genomic information that can know all the relationship information within a group, in the case of the breeder, it is possible to select excellent individuals with high accuracy regardless of whether or not later generations are tested. There is an advantage. If it is possible to accurately evaluate an individual's ability for major economic livestock based on breeding price estimation technology using such genomic information, produce appropriate livestock products based on the evaluated ability information (hereinafter referred to as "capability information") By connecting technology, it is possible to establish low-carbon livestock production technology.

On the other hand, the largest part of the livestock production cost is the feed cost, and among them, the feed cost is judged to be the largest. However, the present invention does not correspond to a technology for reducing carbon emission in the breeding process related to how and what kind of feed should be given, but to a technology for reducing carbon emission based on the capability information from the livestock selection stage, which is a stage before breeding management. In other words, when considering the form of improved technology used in the livestock industry, these technologies is applicable to

In particular, in the case of livestock, the effect of improvement can be enhanced by utilizing the genome information when selecting livestock because there is a large difference in carbon emission characteristics depending on the individual even of the same breed. In other words, it provides a low-carbon business model that encourages the selection and use of excellent breeders to respond to climate change by predicting carbon emissions and giving environmental economic values by using genome information from the livestock selection stage, national and social policies and It can contribute to the establishment of the system.

This system (1) is a system applicable to the livestock field, and by predicting the amount of carbon emission for the rest of the life of the livestock based on livestock information, certification of low-carbon certified livestock and the execution of carbon credit trading based on it It is a possible system. This technology according to the present system (1) can be applied from the livestock selection stage, for example, from the selection stage of parent (parent or maternal) livestock or the breeding start stage for young livestock. 1 to 3 , the present system 1 includes an authentication system 100 and a transaction system 200 , and various electronic devices, ie, terminals 10 , 20 and 30 , are included in these systems 100 and 200 . ), the mediation server 40, etc. may be connected. In this case, the authentication system 100 and the transaction system 200 or between the systems 100 and 200 and each electronic device may be connected through various wired/wireless communication methods.

The authentication system 100 is a system for performing authentication by predicting the amount of carbon emission of a corresponding livestock based on livestock information. In addition, the trading system 200 is a system for performing carbon credit trading based on the carbon reduction amount of livestock certified in the authentication system 100 .

In this case, the livestock information is information about the livestock, and may include history information in addition to the genome information. Also, in some cases, livestock information may include history information (livestock ID, date of birth, pedigree information, etc.) except for genome information.

4 shows a block diagram of the authentication system 100 and the transaction system 200 .

The authentication system 100 and the transaction system 200 include an electronic device capable of computing, and the electronic device operates as a server. Of course, the authentication system 100 or the transaction system 200 may have a structure in which a plurality of electronic devices (or servers) are connected through various wired/wireless communication methods.

For example, the electronic device includes a desktop personal computer (PC), a laptop personal computer (PC), a tablet personal computer (PC), a netbook computer, a workstation, and a personal digital assistant (PDA). , a smartphone (smartphone), a smart pad (smartpad), or a mobile phone (mobile phone), etc., but is not limited thereto.

Referring to FIG. 4 , the authentication system 100 and the transaction system 200 include input units 110 and 210 , communication units 120 and 220 , displays 130 and 230 , memories 140 and 240 , and a control unit 150 , 250) and the like.

The input units 110 and 210 may generate input data in response to various user inputs, and may include various input means. For example, the input units 110 and 210 may include a keyboard, a keypad, a dome switch, a touch panel, a touch key, and a touch pad. , a mouse, a menu button, and the like, but is not limited thereto.

The communication units 120 and 220 perform communication with other devices (or systems) of the authentication system 100 and the transaction system 200 , or a plurality of electronic devices (or servers) within the authentication system 100 or the transaction system 200 . ) to communicate between them. For example, the communication units 120 and 220 are 5th generation communication (5G), long term evolution-advanced (LTE-A), long term evolution (LTE), Bluetooth, bluetooth low energe (BLE), near field communication (NFC). ), wireless communication such as Wi-Fi communication may be performed, or wired communication such as cable communication may be performed, but is not limited thereto.

The displays 130 and 230 display various image data on a screen, and may be configured as a non-emission type panel or a light emitting type panel. For example, the displays 130 and 230 may include a liquid crystal display (LCD), a light emitting diode (LED) display, an organic light emitting diode (OLED) display, a microelectromechanical system (MEMS); It may include, but is not limited to, a micro electro mechanical system display, an electronic paper display, or the like. Also, the displays 130 and 230 may be combined with the input units 110 and 210 to be implemented as a touch screen or the like.

The memories 140 and 240 store various types of information necessary for the operation of the authentication system 100 and the transaction system 200 . For example, the stored information may include, but is not limited to, livestock information, authentication information, predicted carbon emissions, actual livestock carbon emissions, and program information related to authentication and transaction methods to be described later. For example, the memories 140 and 240 may be a hard disk type, a magnetic media type, a compact disc read only memory (CD-ROM), or an optical recording medium type depending on the type. Media type, Sagneto-optical media type, Sultimedia card micro type, flash memory type, ROM type (read only memory type), or RAM type (random access memory type) and the like, but is not limited thereto. In addition, the memories 140 and 240 may be a cache, a buffer, a main memory, an auxiliary memory, or a separately provided storage system according to their use/location, but is not limited thereto.

The controllers 150 and 250 may perform various control operations of the authentication system 100 and the transaction system 200 . That is, the control units 150 and 250 may control the execution of authentication and transaction methods to be described later, and the remaining components of the authentication system 100 and the transaction system 200 , that is, the input units 110 and 210 , the communication unit 120 , 220), the displays 130 and 230, the memories 140 and 240, and the like can be controlled. For example, the controllers 150 and 250 may include a processor that is hardware, a process that is software that is executed in a corresponding processor, and the like, but is not limited thereto.

On the other hand, the first terminal 10 is a terminal used by the collector to collect livestock information through visits to livestock farms, etc., and can be connected to the authentication system 100 . That is, the collector sends confirmation information on the history information of livestock (livestock ID, date of birth, pedigree information, etc.) or identification information (collection sample ID, etc.) according to the collection of the genome sample (hair root, blood, etc.) of the livestock to the first terminal. (10) can be entered. The first terminal 10 may transmit the input information (hereinafter, referred to as “collected information”) to the authentication system 100 .

In addition, the first terminal 10 may collect the slaughter history information of the low-carbon certified livestock or the slaughter history information of the descendants of the low-carbon certified livestock and transmit it to the authentication system 100 . At this time, the slaughter history information is information on actual livestock products (beef, pork, chicken, etc.) may include However, the transfer of such slaughter history information may be performed through a terminal other than the first terminal 10 . In addition, in the case of cows and laying hens, actual milk and egg production information (production amount, production date, quality grade, etc.) may be included instead of slaughter information.

The authentication system 100 stores and manages livestock information (hereinafter referred to as a “first function”). That is, the authentication system 100 stores and manages collection information transmitted from the first terminal 10 and analysis information (ie, genome information) on the collected genome sample. For example, the genome information may include, but is not limited to, whole-genome sequence information, single nucleotide polymorphism (SNP) information, and the like. In this case, the SNP information may be analyzed using a DNA chip or a sequencing method that detects one or more SNPs. The analyzed genome information may be directly stored by the analyzer in the authentication system 100 or may be stored by accessing the authentication system 100 through the first terminal 10 or the like.

In addition, the authentication system 100 uses livestock information (ie, history information or genomic information) in addition to the first function to predict the carbon emission of the livestock for the rest of its life, and according to the predicted carbon emission for the livestock Determines whether to authenticate (hereinafter referred to as “second function”). In this case, the certified livestock is referred to as “low-carbon certified livestock”.

In order to grant authentication according to the second function, the authentication system 100 may be in charge of performing the following contents.

(1) Prediction of production efficiency and economic traits from livestock genome information

Various environmental information (farm information, date of birth, slaughter information, gender information, disease information, etc.) and phenotype information (Korean beef: carcase weight, sirloin cross-section, back fat thickness, intramuscular fat map, dairy cow: flow rate, Milk protein, milk fat, number of body cells, pig: daily weight gain, back fat thickness, sirloin depth, meat production rate, age to reach 90 kg, total number of live births, number of live births, etc.) and lineage information, as well as genomic information are secured. Thereafter, a predictive ability value is estimated for each individual using a mixed model for these information. This technique may be referred to as “genetic ability evaluation (BLUP)”.

At this time, if phenotypic information is used as a dependent variable and environmental information is used as a fixed effect and pedigree as a random effect to perform genetic ability evaluation, coefficients for each individual belonging to the pedigree can be derived. This coefficient can be regarded as an individual's ability value, and can be referred to as a “breeder”.

In particular, if pedigree information is replaced with genomic information instead of pedigree information or combined with genomic information, much more accurate relational information can be obtained than pedigree information. Accordingly, a more accurate breeding value can be estimated, and this can be referred to as a “genetic breeding value”.

Genetic breeding value may be a widely used concept in animal genetic breeding, but using it to improve the productivity of livestock, predicting carbon emissions and linking with carbon credit trading based on this may correspond to a new concept. That is, the present invention can use genome information to predict carbon emissions during selection and production of livestock and grant authentication based on the predicted carbon emissions.

(2) Carbon emission conversion after predicting production efficiency economic traits from seed livestock genome information

The genome information of livestock may include whole-genome sequence information, single nucleotide polymorphism (SNP) information, and the like. For example, the ability of seed livestock is predicted using a large amount of SNP information, and based on this, the carbon emission of each seed livestock and the reduction rate compared to the population average carbon emission are predicted.

For example, in the case of Korean beef, it is possible to predict the production efficiency-related traits (growth rate, feed efficiency, meat production rate, disease mortality, etc.) have. In other words, it is possible to predict the target eradication period of the candidate seed hydrogen by using the SNP information. At this time, if the predicted target weight reaching period of the candidate seed hydrogen is 27 months, compared to the seed hydrogen population with an average target eradication period of 30 months, the breeding period of the candidate seed bull can be shortened by about 10% (3 months). . In this case, it can be predicted that the candidate seed hydrogen will reduce carbon emission by 10% compared to the seed hydrogen population.

When the predicted carbon emission is lower than the reference carbon emission as described above, the candidate livestock (breeder) can be certified as a low-carbon certified livestock. That is, the candidate livestock (breeder) is certified as a low-carbon certified livestock while predicting the carbon emission reduction rate according to the shortening of the breeding period of the candidate livestock (breeder), and registering the value in the seed hydrogen production history information.

For example, when semen from seed bulls, a low-carbon certified livestock, is used for the production of Korean beef, the amount of carbon emission reduction can be used as a basis for determining a flat-rate price, reducing carbon tax, and paying carbon subsidies. Of course, this utilization can be directly applied to other traits (black traits and breeding traits) of Korean cattle, milk production-related traits of cows, and black traits and breeding traits of pigs.

(3) Predicting production efficiency economic traits from livestock genome information and converting them into carbon emissions

Using genome information (a large amount of SNP information, etc.), the ability of individual livestock can be predicted, and carbon emissions and reduction rates compared to the population average carbon emissions can be predicted based on this.

For example, in the case of Korean beef, it predicts production efficiency-related traits (growth rate, feed efficiency, meat production rate, disease mortality rate, etc.), performs type classification according to genetic ability, and provides customized specification information to reach the target period do. If the target reaching period is predicted to be 27 months compared to the population with an average goal reaching period of 30 months, the breeding period will be predicted to be shortened by about 10% (3 months).

In this way, the carbon emission reduction rate according to the shortening of the breeding period of each livestock is predicted, registered in the history information, and certified as a low-carbon certified livestock. When certified livestock is used on a farm, the amount of carbon emission reduction is used as a basis for carbon tax reduction and carbon subsidy payment. This can be applied to other traits (black traits and breeding traits) of Korean cattle, milk production-related traits of cows, and black traits and breeding traits of pigs.

That is, low-carbon certified seed livestock is selected and used for seed livestock in (2) above, and low-carbon certified livestock and low-carbon beef livestock products after slaughter can be certified after economic trait prediction for livestock in (3) above. .

Meanwhile, the authentication system 100 may transmit authentication information on the low-carbon certified livestock derived as a result of performing the second function to the transaction system 200 .

In this case, the authentication system 100 may calculate the predicted carbon reduction amount of the low-carbon certified livestock, and transmit the calculated value to the transaction system 200 together with the authentication information. That is, the authentication system 100 may transmit the predicted carbon reduction amount to the transaction system 200 while authenticating the corresponding livestock as a low-carbon certified livestock when the calculated predicted carbon emission amount compared to the reference livestock carbon emission amount decreases.

In addition, the authentication system 100 utilizes the slaughter history information of the low-carbon certified livestock to calculate the actual livestock product (slaughter amount, slaughter date, meat quality, etc.) In addition, the calculated value may be transmitted to the transaction system 200 together with authentication information. That is, the authentication system 100 may transmit the actual livestock carbon reduction to the transaction system 200 while authenticating the livestock as a low-carbon certified livestock when the calculated actual livestock carbon emission is reduced compared to the reference livestock carbon emission. .

On the other hand, the reference livestock carbon emission can be calculated as the average value of carbon emission of livestock produced during a specified period, such as the previous year or the previous month, or the total carbon emission of all livestock in the farmhouse. For example, by using objective methods such as livestock history information and slaughter history information, reference livestock carbon emissions can be calculated. In addition, the standard livestock carbon emission can be calculated using the average value of livestock species (cow, pig, chicken, etc.), breed (Korean beef, Angus, Hairford, etc. in the case of cattle) and regional unit livestock.

However, the authentication system 100 may include a first server performing a first function and a second server performing a second function. In this case, the first server and the second server may be connected through wired/wireless communication. That is, the first server performs a first function (storing and managing livestock information) according to the connection of the first terminal 10 and the like, and transmits the stored livestock information to the second server. Thereafter, the second server performs a second function based on the transmitted livestock information, and transmits result information (ie, authentication information, etc.) of performing the second function to the transaction system 200 . In this case, the first server and the second server may each separately include the input unit 110 , the communication unit 120 , the display 130 , the memory 140 , the control unit 150 , and the like.

The trading system 200 is a system for trading carbon credits based on the carbon reduction amount of low-carbon certified livestock.

When receiving the calculated value of the predicted carbon reduction amount of the low-carbon certified livestock and the authentication information from the certification system 100, the trading system 200 performs carbon credit trading based on the predicted carbon reduction amount, but can be done In other words, it is possible to futures trade the predicted carbon emission that has decreased compared to the standard livestock carbon emission in the carbon credit trading market.

In addition, when receiving the calculated value and the authentication information for the actual livestock carbon reduction amount of the low-carbon certified livestock from the authentication system 100, the transaction system 200 performs a carbon credit transaction based on the actual livestock product carbon reduction amount can do. In other words, the actual amount of carbon emission from livestock products, which is reduced compared to the standard livestock carbon emission, can be traded in the carbon credit market.

Referring to FIG. 2 , the second and third terminals 20 and 30 are electronic devices of the parties that access the trading system 200 and perform carbon emission trading. At this time, the second terminal 20 is a terminal used by the carbon reduction seller. In other words, the seller refers to a person who sells carbon credits generated according to the carbon reduction amount of low-carbon certified livestock. In addition, the third terminal 30 may be a terminal used by a carbon credit trader (consumer). In other words, consumers refer to those who buy carbon credits generated according to the carbon reduction amount of low-carbon certified livestock.

In addition, the second and third terminals 20 and 30 may be a terminal used by a greenhouse gas emission certification institution, or a terminal used by a person who checks whether low-carbon livestock is certified/carbon reduction.

However, as shown in FIG. 3 , the transaction system 200 may allow a carbon credit transaction to be made between the second and third terminals 20 and 30 through the intermediary server 40 . In this case, the transaction system 200 transmits the information received from the authentication system 100 to the intermediary server 40, and the intermediary server 40 according to the operation of the above-described transaction system 200 based on the information. You can broker carbon credit trading.

On the other hand, in relation to the trading system 200, the concept of carbon credit trading used in the present invention is as follows.

In other words, the word "carbon credits" is used very commonly in Korea, but in the EU, etc., the quota (EUA) and credits (CER/ERU) are relatively clearly distinguished, and the meaning of 'carbon credits' including them is 'emission right' corresponding to 'emission right' is not used well.

The Kyoto protocol, which formed the framework for the international climate change response system, proposes the 'Kyoto flexible mechanism', a market-based mechanism, in order to alleviate the burden of greenhouse gas reduction activities of obligatory countries. Kyoto Mechanism consists of Emissions Trading (ET), Clean Development Mechanism (CDM), and Joint Implementation (JI). It refers to the act of buying and selling carbon emission rights, which is a right, through the market.

Here, 'carbon credit' is a concept that encompasses allowances and credits1), and the quota is equivalent to the total amount of greenhouse gas emission (cap) determined by the country or region. emission source), and the credit is a certificate that the greenhouse gas emission has been reduced compared to the standard forecast (BAU, Business-As-Usual) for an external greenhouse gas reduction project. it means. Meanwhile, the meaning of 'market' means that the price of carbon credits is determined by the supply and demand of carbon credits in the market rather than being fixed by policy. This is a way of reflecting the environmental and social costs caused by climate change in the cost of producing goods or services, as opposed to a carbon tax, in which the size of the cost is determined by policy.

Certification according to the amount of carbon reduction used in the present invention is a concept corresponding to 'credit', and is a certificate that the greenhouse gas emission has been reduced compared to the standard forecast (BAU, Business-As-Usual) for an external greenhouse gas reduction project. It can mean having carbon credits paid to the project.

The most representative credit markets are the CDM market and the JI market defined by the Kyoto Protocol. The CDM market credit is called CER (Certified Emission Reduction), and the JI market credit is called ERU (Emission Reduction Unit). In general, since the price is lower than that of the EUA, it is possible to reduce the cost burden of the subject of greenhouse gas reduction. Currently, the issuance and transaction volume of CER through the CDM project is overwhelmingly higher than ERU through the JI project, and countries around the world are participating in the CDM project. The CDM project is carried out in a format in which a country obligated to reduce Kyoto Protocol (Annex I country) invests in and develops a greenhouse gas emission reduction project in a developing country (Non-Annex I country). After receiving the official certification of the greenhouse gas emission reduction from the CDM project by the UN-certified organization, carbon credits (CER) are issued according to the amount of greenhouse gas reduction.

Hereinafter, an authentication and transaction method according to an embodiment of the present invention will be described.

5 is a flowchart of an authentication and transaction method (hereinafter referred to as “the present method”) according to an embodiment of the present invention.

This method is a method performed in the present system 1, in particular, the authentication system 100 and the transaction system 200, and its execution may be controlled by the controllers 150 and 250. That is, referring to FIG. 5 , the method may include steps S101 to S105 .

First, in S101 , the control unit 150 of the authentication system 100 controls the authentication system 100 to perform a first function. That is, the control unit 150 of the authentication system 100 acquires livestock information from the first terminal 10 , etc., and stores and manages the information in the memory 140 .

Then, in S102, the control unit 150 of the authentication system 100 controls to extract information related to carbon emission from the information obtained in S101. For example, the control unit 150 of the authentication system 100 may extract information related to carbon emission from among the genome information. Alternatively, the control unit 150 of the authentication system 100 may extract information related to carbon emission from the history information.

Then, in S103, the control unit 150 of the authentication system 100 controls to calculate the predicted carbon emissions of livestock or the actual carbon emissions of livestock based on the information extracted in S102.

Thereafter, in S104, the control unit 150 of the authentication system 100 controls to authenticate the livestock as a low-carbon certified livestock when the carbon emission calculated in S103 is lower than the reference carbon emission.

Then, in S105, the control unit 250 of the trading system 200 controls the carbon credit trading to be made based on the carbon reduction amount of the low-carbon certified livestock. That is, the control unit 150 of the authentication system 100 controls to transmit the calculated carbon reduction amount and authentication information for the corresponding livestock from the authentication system 100 to the transaction system 200 through the communication unit 120 . Accordingly, the control unit 250 of the transaction system 200 receives the carbon reduction amount and authentication information through the communication unit 220 and stores it in the memory 240, and based on the carbon reduction amount, the second and third terminals (20, 30) to control carbon credit trading. Of course, the control unit 250 of the transaction system 200 may transmit the corresponding information to the intermediary server 40 so that the corresponding carbon credits are traded by the intermediary of the intermediary server 40 .

However, the method may include detailed operations of each configuration of the present system 1 described above with reference to FIGS. 1 to 4 . However, since the detailed operation has already been described above, it will be omitted below.

As described above, the present invention selects low-carbon certified livestock based on the calculation of the predicted carbon emission (actual livestock product carbon emission) of livestock from livestock information and the calculation of the reduction rate compared to the population average carbon emission, and the prediction of the selected low-carbon certified livestock We present a technology that enables carbon credit trading based on the amount of carbon emitted.

Accordingly, the present invention has the advantage of being able to realize the reduction of greenhouse gas emissions in the livestock sector based on the prediction of carbon emissions for the livestock from the livestock selection stage. That is, the present invention provides a low-carbon business model that accelerates the selection of excellent breeders and livestock to respond to climate change by predicting carbon emissions and giving environmental economic values by using genome information from the livestock selection stage, and national and social It has the advantage of contributing to the achievement of the global carbon emission reduction target by contributing to the establishment of policies and systems and the trading of carbon credits in the livestock sector.

In the detailed description of the present invention, although specific embodiments have been described, various modifications are possible without departing from the scope of the present invention. Therefore, the scope of the present invention is not limited to the described embodiments, and should be defined by the following claims and their equivalents.

10, 20, 30: terminal 40: mediation server
100: authentication system 110, 210: input unit
120, 220: communication unit 130, 230: display
140, 250: memory 150, 250: control unit
200: trading system

Claims (7)

A method performed in a system for performing authentication for livestock, comprising:
obtaining information about livestock;
extracting information related to carbon emission from the obtained information;
calculating the predicted carbon emission amount of the livestock or the actual livestock product carbon emission amount based on the extracted information; and
authenticating the livestock as a low-carbon certified livestock when the calculated carbon emission is lower than the reference carbon emission;
How to include.
The method of claim 1,
The obtained information is the history information or genome information of the livestock.
The method of claim 1,
The method further comprising the step of transmitting authentication information on the low-carbon certified livestock to a trading system that performs a carbon credit transaction based on the carbon reduction amount of the low-carbon certified livestock.
4. The method of claim 3,
Transmitting the authentication information includes calculating the predicted carbon reduction amount of the low-carbon certified livestock and transmitting it together with the authentication information,
The trading system is a method of performing a futures trading but trading carbon credits based on the predicted carbon reduction amount of the low-carbon certified livestock.
4. The method of claim 3,
Transmitting the authentication information includes calculating the actual amount of carbon reduction in livestock products of the low-carbon certified livestock by using the slaughter history information of the low-carbon certified livestock and transmitting it together with the authentication information,
The trading system is a method of performing carbon credit trading based on the actual livestock carbon reduction amount.
a memory storing information about livestock; and
Includes; a control unit that processes using the stored information;
The control unit is
Extracting information related to carbon emissions from the stored information, calculating the predicted carbon emissions of the livestock or actual livestock product carbon emissions based on the extracted information, and if the calculated carbon emissions are lower than the reference carbon emissions, the Electronic devices that certify livestock as low-carbon certified livestock.
an authentication system for performing authentication using information on livestock; and
Includes; a trading system for performing carbon credit trading based on the carbon reduction amount of livestock certified in the certification system;
The authentication system is
When information related to carbon emission is extracted from the information on the livestock, the predicted carbon emission of the livestock or the actual livestock product carbon emission is calculated based on the extracted information, and the calculated carbon emission is less than the reference carbon emission , a system for authenticating the livestock as a low-carbon certified livestock.

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