Method And Apparatus for Managing Carbon Emissions

Abstract

A carbon emission rights management device and method are disclosed. The present embodiment provides a carbon revenue distribution model that calculates carbon emissions based on the charging and discharging states of an electric vehicle to minimize carbon emissions, issues and records the amount of power reduction compared to the average of charging stations using a V2G network as carbon credits, and transfers the carbon credits to regions with higher-than-average carbon emissions to transmit carbon emission reduction to where it is needed.

Description

Technology Field

[0001] One embodiment of the present invention relates to a carbon emission rights management device and method. The present invention is a result carried out with the support of the 'Youth Green Startup Spring Camp Support Project' promoted by the Ministry of Environment and operated by the Korea Environmental Industry & Technology Institute (Project No.: RT2025021121). Background Technology

[0002] The following description merely provides background information related to the present embodiment and does not constitute prior art.

[0003] Recently, as Net Zero carbon neutrality to address climate change has become a global topic and policy goal, most developed countries are expanding distributed energy as a means to achieve it.

[0004] Distributed energy is characterized by its small scale and the fact that energy usage areas are located nearby. Therefore, distributed energy resources do not require large-scale power plants or long-distance transmission networks, and since they do not require large-scale facilities, they can reduce infrastructure construction and operating costs associated with new construction. Because power sources are distributed on a small scale, distributed energy enables a more stable power supply than centralized power systems.

[0005] Distributed energy faced the problem that it was difficult to manage at the utility level for small and medium-sized businesses and small-scale individual deployments.

[0006] There was a problem in that, as integrated management of electric vehicle charging infrastructure along with small-scale distributed energy was not carried out, electric vehicle charging infrastructure could not be specifically built, and specific plans for the dissemination of electric vehicles could not be reviewed.

[0007] Carbon reduction projects must report regularly to the authorities. However, it is often difficult to properly understand carbon reduction methodologies, and there is a frequent lack of expertise in preparing reports. There is also a problem in that verification processes based on transparent and reliable background data are not in place. The problem to be solved

[0008] The present embodiment aims to provide a carbon revenue distribution model that calculates carbon emissions based on the charging and discharging states of an electric vehicle to minimize carbon emissions, to issue and record the amount of power reduction compared to the average of charging stations using a V2G network as carbon credits, and to transfer carbon emission reduction to areas where it is needed by transferring it to regions with higher-than-average carbon emissions. means of solving the problem

[0009] According to one aspect of the present embodiment, a carbon emission right management device is provided, comprising: a data collection unit for collecting carbon activity data including power consumption and electric vehicle charging amount; a carbon emission right issuing unit for issuing carbon credits based on the carbon activity data and issuing carbon emission rights based on the carbon credits; an environmental condition analysis unit for predicting future carbon emissions based on temperature, weather, day of the week, environment, and location factors; a reduction amount analysis unit for calculating the difference between the future carbon emissions and the actual carbon consumption resulting from actions as a reduction amount; a carbon credit issuing unit for issuing carbon credits based on the reduction amount; and a carbon emission right trading unit for trading the carbon credits. Effects of the invention

[0010] As explained above, according to the present embodiment, in order to minimize carbon emissions, a carbon revenue distribution model is provided that calculates carbon emissions based on the charging and discharging states of electric vehicles; the amount of power reduction compared to the average of charging stations using a V2G network is issued and recorded as carbon credits; and there is an effect of transferring carbon emission reduction to areas where it is needed by transferring it to regions with higher carbon emissions compared to the average. Brief explanation of the drawing

[0011] FIG. 1 is a schematic diagram showing a carbon credit management system according to the present embodiment. FIG. 2 is a schematic diagram showing a carbon credit management device according to the present embodiment. FIG. 3 is a diagram showing the operation of a data collection unit according to the present embodiment. FIG. 4 is a diagram showing the connection between a carbon credit management device and a V2G network according to the present embodiment. FIG. 5 is a diagram showing the operation of an environmental situation analysis unit using V2G according to the present embodiment. FIG. 6 is a diagram showing the operation of the reduction amount analysis unit according to the present embodiment. FIG. 7 is a diagram illustrating a customized EV carbon reduction challenge process according to the present embodiment. FIG. 8 is a diagram showing the issuance and recording of EV carbon credits using blockchain according to the present embodiment. FIG. 9 is a diagram showing a V2G network and an EV voluntary carbon emission right (credit) trading system according to the present embodiment. FIG. 10 is a diagram showing the operation of a carbon emission trading unit according to the present embodiment. FIG. 11 is a diagram showing the operation of the carbon credit additional issuance unit according to the present embodiment. FIG. 12 is a diagram showing credit creation through a carbon reduction project according to the present embodiment. FIG. 13 is a diagram showing a filling method using carbon intensity information according to the present embodiment. FIG. 14 is a diagram showing a method for proving the carbon reduction effect according to the present embodiment. FIG. 15 is a conceptual diagram illustrating a method for determining carbon emission rights according to an embodiment of the present invention. FIG. 16 is a conceptual diagram illustrating a method for determining carbon emission rights according to an embodiment of the present invention. Specific details for implementing the invention

[0012] Hereinafter, the present embodiment will be described in detail with reference to the attached drawings.

[0013] FIG. 1 is a schematic diagram showing a carbon credit management system according to the present embodiment.

[0014] The carbon credit management system according to the present embodiment includes a terminal (110), an application (112), an electric vehicle (120), and a carbon emission rights management device (130). The components included in the carbon credit management system are not necessarily limited thereto.

[0015] A terminal (110) refers to an electronic device that performs voice or data communication via a network according to the user's key operation.

[0016] The terminal (110) is equipped with a memory for storing a program or protocol for communicating with a carbon emission rights management device (130) via a network, a microprocessor for executing the program to perform calculations and control, etc.

[0017] The terminal (110) may be an electronic device such as a smartphone, tablet, laptop, personal computer (PC), personal digital assistant (PDA), game console, portable multimedia player (PMP), wireless communication terminal, media player, etc.

[0018] The terminal (110) is a various device equipped with a communication device, such as a communication modem, for communicating with various devices or wired / wireless networks, a memory for storing various programs and data, and a microprocessor for executing programs to perform calculations and control. According to at least one embodiment, the memory may be a computer-readable recording / storage medium such as RAM (Random Access Memory), ROM (Read Only Memory), flash memory, an optical disk, a magnetic disk, or a Solid State Disk (SSD). According to at least one embodiment, the microprocessor may be programmed to selectively perform one or more operations and functions described in the specification. According to at least one embodiment, the microprocessor may be implemented as hardware, such as an Application Specific Integrated Circuit (ASIC), wholly or partially.

[0019] An application (112) refers to a program that is loaded and runs within the storage of a terminal (110). The application (112) may be loaded into the terminal (110) in an embedded form or installed into an OS (Operating System).

[0020] The carbon emission rights management device (130) provides a carbon revenue distribution model that calculates carbon emissions based on the charging and discharging status of electric vehicles to minimize carbon emissions. The carbon emission rights management device (130) issues and records the amount of power reduction compared to the average of charging stations using a V2G network as carbon credits, and transfers them to regions where carbon emissions are higher than the average to transmit carbon emission reduction to where it is needed.

[0021] A V2G (Vehicle to Grid) network is a technology that connects electric vehicles (EVs) with the power grid, integrating EV batteries into the grid. V2G networks utilize the idle batteries of EVs. By drawing power from the batteries of EVs that are parked for much of the day, V2G networks can enhance energy efficiency. V2G networks are linked with smart grids. Operating as part of the smart grid system, V2G networks regulate power supply and demand through real-time information exchange. V2G networks can increase the stability of power supply in urban areas and alleviate power shortages during peak hours.

[0022] The carbon emission rights management device (130) according to the present embodiment collects carbon activity data including power consumption and electric vehicle charging amount. The carbon emission rights management device (130) issues carbon emission rights based on the carbon activity data. The carbon emission rights management device (130) predicts future carbon emissions based on temperature, weather, day of the week, environment, and location factors. The carbon emission rights management device (130) calculates the difference between future carbon emissions and actual carbon consumption resulting from actions as a reduction amount. The carbon emission rights management device (130) issues carbon credits based on the reduction amount. The carbon emission rights management device (130) enables the trading of carbon emission rights based on carbon credits. The carbon emission rights management device (130) issues carbon credits according to power consumption at power demand points, issues carbon credits when power consumption identified using V2G is reduced compared to the average power consumption of charging stations, and issues carbon credits when the private power supply source is renewable energy. The carbon emission rights management device (130) provides carbon credits based on the electric vehicle's travel route and travel distance.

[0023] FIG. 2 is a schematic diagram showing a carbon credit management device according to the present embodiment.

[0024] The carbon emission allowance management device (130) according to the present embodiment includes a data collection unit (210), a carbon emission allowance issuance unit (220), an environmental situation analysis unit (230), a reduction amount analysis unit (240), a carbon emission allowance trading unit (250), a carbon credit issuance unit (260), and an additional carbon credit issuance unit (270). The components included in the carbon emission allowance management device (130) are not necessarily limited thereto.

[0025] Each component included in the carbon emission rights management device (130) can be connected to a communication path connecting a software module or a hardware module inside the device and operate organically with one another. These components communicate using one or more communication buses or signal lines.

[0026] Each component of the carbon emission rights management device (130) illustrated in FIG. 2 represents a unit that processes at least one function or operation, and can be implemented as a software module, a hardware module, or a combination of software and hardware.

[0027] The data collection unit (210) collects carbon activity data including power consumption and electric vehicle charging amount. The data collection unit (210) collects power consumption and electric vehicle charging amount by linking with a V2G (Vehicle-to-Grid) network. The data collection unit (210) stores the carbon activity data in a blockchain network storage.

[0028] The data collection unit (210) collects multiple types of data. The data collection unit (210) collects process data as real-time sensor data regarding temperature, pressure, flow rate, level, etc. The data collection unit (210) collects equipment status data regarding the operating status and abnormality of motors, valves, pumps, etc. The data collection unit (210) collects alarm and event logs including warnings and system events recorded when an abnormality occurs. The data collection unit (210) collects operation and control data including operator input values, PID control variables, and automatic control setting values.

[0029] The data collection unit (210) is connected to sensors and measuring equipment and collects data via a PLC (Programmable Logic Controller) or direct sensor connection. The data collection unit (210) communicates with remote equipment using industrial protocols (Modbus, Profibus, OPC, etc.) via network communication. The data collection unit (210) is linked with a SCADA (Supervisory Control and Data Acquisition) system to collect and monitor data. The data collection unit (210) automatically saves data and outputs a warning message when an anomaly occurs through event-based logging.

[0030] The data collection unit (210) collects and monitors data in conjunction with IoT sensors. Here, the IoT sensors include image recognition sensors (camera, laser, infrared, etc.) and strategic meters. The data collection unit (210) collects data related to carbon reduction from the IoT sensors and accumulates the data in the carbon emission rights management device (130) using a remote transmission module. The data collection unit (210) sorts and displays the accumulated data according to the format of the carbon registry. The data collection unit (210) detects abnormal data signs, including errors or omissions in the process of gathering and calculating data errors or omissions received from the IoT sensors.

[0031] The data collection unit (210) provides an editing function that outputs an alert on the tab screen and allows the user to manually input the relevant parts when an error or element requiring re-verification is found in the carbon activity data.

[0032] The data collection unit (210) provides carbon monitoring data tagging that tags carbon monitoring back data on a documentation tool to enable re-verification of carbon activity data or data-driven decision-making.

[0033] The data collection unit (210) provides an external data addition function that can search for and add external data including sensors, weather, and geographic information to carbon activity data.

[0034] The data collection unit (210) automatically generates reports using AI technology and provides automatic generation and re-verification using AI to re-verify the textual expressions or methodology calculation formulas of the automatically generated reports.

[0035] The data collection unit (210) links with a carbon registry (carbon ledger) based on monitoring data. The data collection unit (210) links with a carbon trading system based on monitoring data.

[0036] The data collection unit (210) utilizes a blockchain network for third-party verification. The data collection unit (210) provides a tool that allows external carbon experts to cross-verify carbon monitoring data on a transparent and tamper-proof blockchain network.

[0037] The carbon emission rights issuing unit (220) issues carbon emission rights based on carbon activity data. The carbon emission rights issuing unit (220) issues carbon emission rights based on carbon credits issued by the carbon credit issuing unit (260).

[0038] The carbon emission allowance issuing department (220) establishes carbon emission standards based on the carbon emission allowance (total amount) set by the government or related agencies. Based on the carbon emission standards, the carbon emission allowance issuing department (220) allocates the permitted emissions (emission allowances) to each company, industry, or individual. The carbon emission allowance issuing department (220) officially issues emission allowances after verifying the emissions (emission allowances) from a third-party verification agency.

[0039] The carbon emission rights issuing unit (220) can perform a free allocation (Grandfathering) by allocating carbon emission rights for free based on existing emissions. The carbon emission rights issuing unit (220) can perform a paid allocation (Auctioning) by using an auction to allow companies to purchase carbon emission rights. The carbon emission rights issuing unit (220) can perform a reward-based (Credit Mechanism) by providing additional emission rights when participating in eco-friendly projects.

[0040] The environmental situation analysis unit (230) predicts future carbon emissions based on temperature, weather, day of the week, environment, and location factors. The environmental situation analysis unit (230) measures and records environmental data such as air, water quality, and soil. The environmental situation analysis unit (230) monitors data collected using sensors, satellites, drones, etc., in real-time or periodically.

[0041] The Environmental Situation Analysis Department (230) performs an Environmental Impact Assessment (EIA). The Environmental Situation Analysis Department (230) analyzes the impact of specific projects or industrial activities on the environment. The Environmental Situation Analysis Department (230) performs an assessment of ecosystem changes, air and water pollution, and carbon emissions.

[0042] The Environmental Situation Analysis Department (230) investigates government and international environmental regulations and reviews compliance with standards. The Environmental Situation Analysis Department (230) reflects carbon neutrality goals and ESG (Environmental, Social, Governance) strategies.

[0043] The environmental situation analysis unit (230) identifies and evaluates environmental risk factors (pollution, climate change, etc.). The environmental situation analysis unit (230) performs climate change simulation and data-based prediction.

[0044] The reduction amount analysis unit (240) calculates the difference between future carbon emissions and actual carbon usage resulting from actions as the reduction amount.

[0045] The reduction amount analysis unit (240) establishes a baseline using past data and industry average values. The reduction amount analysis unit (240) generates a comparison standard by measuring existing energy consumption, carbon emissions, costs, etc.

[0046] The reduction amount analysis unit (240) implements measures such as introducing energy-efficient equipment, optimizing processes, and utilizing renewable energy. The reduction amount analysis unit (240) measures the changed consumption, emissions, operating costs, etc.

[0047] The reduction amount analysis unit (240) calculates the reduction amount by subtracting the consumption amount after improvement from the baseline consumption amount. The reduction amount analysis unit (240) calculates the carbon emission reduction amount by subtracting the actual emission amount from the baseline emission amount.

[0048] The reduction amount analysis unit (240) prepares and reports measurement results in a report to verify data and ensure reliability (review through an external verification agency or internal audit). The reduction amount analysis unit (240) analyzes areas where additional reduction is possible. The reduction amount analysis unit (240) performs continuous monitoring and optimization.

[0049] The reduction amount analysis unit (240) calculates the carbon reduction amount using a pre-set carbon reduction methodology.

[0050] The carbon emission trading unit (250) enables the trading of carbon emission rights based on carbon credits. The carbon emission trading unit (250) enables the trading of emission rights between companies or individuals (ETS, emission trading system). The carbon emission trading unit (250) enables the securing of additional emission rights (emission rights offsetting) through carbon reduction activities.

[0051] The carbon emission trading department (250) operates within the carbon emissions allocated to companies, institutions, and individuals for the Emission Trading System (ETS), and if excess emissions occur, it allows them to purchase emission allowances in the market or sell the remaining allowances.

[0052] The carbon emission trading unit (250) enables companies, institutions, and individuals to conduct transactions within a pre-set emission allowance (allocation) using the emission trading system (Compliance Market). The carbon emission trading unit (250) can perform cap-and-trade. The carbon emission trading unit (250) allows companies, institutions, and individuals to purchase emission allowances when emitting in excess or to sell remaining emission allowances through reduction.

[0053] The carbon emission trading unit (250) allows companies, institutions, and individuals to autonomously trade carbon emission rights in a voluntary market manner, regardless of government regulations. The carbon emission trading unit (250) enables the sale of emission rights generated through carbon reduction projects (e.g., renewable energy, forest restoration, etc.).

[0054] The carbon emission trading unit (250) performs carbon emission allowance allocation so that the government sets the carbon emission allowance for each company. The carbon emission trading unit (250) performs emission monitoring so that companies, institutions, and individuals measure and report actual emissions. The carbon emission trading unit (250) requires the purchase of emission allowances when emissions exceed the limit. The carbon emission trading unit (250) enables companies, institutions, and individuals with excess emissions to purchase emission allowances in the market. The carbon emission trading unit (250) sells remaining emission allowances so that companies with emissions less than the allocated amount can sell surplus emission allowances. The carbon emission trading unit (250) ensures that official trading is completed after verification by a government agency or a third party for verification and reporting.

[0055] The carbon emission trading department (250) determines carbon emission credits based on market supply and demand, policy changes, and carbon reduction technology.

[0056] The carbon credit issuing unit (260) issues carbon credits based on the amount of reduction. The carbon credit issuing unit (260) issues carbon credits according to the amount of electricity consumed at the point of demand for electricity, issues carbon credits when the amount of electricity used identified using V2G is reduced compared to the average electricity usage of the charging station, and issues carbon credits when the private power supply source is renewable energy.

[0057] The carbon credit issuing unit (260) reduces carbon emissions through the operation of electric vehicles and issues credits accordingly. The carbon credit issuing unit (260) enables companies, institutions, and individuals to expand the use of eco-friendly vehicles and acquire additional carbon credits.

[0058] The carbon credit issuing unit (260) calculates the amount of carbon reduced based on the electric vehicle's driving distance and power consumption and issues carbon credits. The carbon credit issuing unit (260) automatically calculates the carbon credits for each vehicle and pays the compensation.

[0059] The carbon credit issuing unit (260) can grant additional credits to companies that introduce eco-friendly transportation methods. The carbon credit issuing unit (260) can provide additional incentives when carbon reduction goals are achieved.

[0060] The carbon credit issuing unit (260) enables the trading of credits accumulated by EV users in the emissions trading market. The carbon credit issuing unit (260) recommends the optimal trading time based on carbon credit price volatility.

[0061] The carbon credit issuing department (260) can apply a ranking system and provide rewards based on the driving distance and savings of the electric vehicle (120).

[0062] The carbon credit additional issuance unit (270) provides carbon credits based on the electric vehicle's travel route and travel distance. The carbon credit additional issuance unit (270) issues additional carbon credits according to the optimal charging method based on the user's driving pattern, charging infrastructure, cost reduction, etc.

[0063] The carbon credit additional issuance unit (270) analyzes the user's driving pattern. The carbon credit additional issuance unit (270) recommends a customized charging method based on the daily average driving distance and usage frequency, and issues additional carbon credits accordingly. The carbon credit additional issuance unit (270) recommends a charging method based on the classification of users as short-distance commuting or long-distance travel types, and issues additional carbon credits accordingly.

[0064] The carbon credit additional issuance unit (270) recommends fast charging (DC Fast Charging, 50kW or more) when there is a lot of long-distance driving or when emergency charging is required, and issues additional carbon credits accordingly. The carbon credit additional issuance unit (270) recommends slow charging (AC Slow Charging, 7~22kW) when charging is mainly done at night, and issues additional carbon credits accordingly. The carbon credit additional issuance unit (270) recommends home charging (3~7kW) when residential charging infrastructure is provided, and issues additional carbon credits accordingly.

[0065] The carbon credit additional issuance unit (270) performs an analysis of electricity rate fluctuations to reduce costs by utilizing nighttime electricity (low-cost time periods). When solar power and renewable energy are linked, the carbon credit additional issuance unit (270) issues additional carbon credits through the use of eco-friendly energy.

[0066] FIG. 3 is a diagram showing the operation of a data collection unit according to the present embodiment.

[0067] The data collection unit (210) may be implemented including a Data Collecting System (DCS). The Data Collecting System (DCS) performs automated measurement of the carbon reduction process. The DCS performs carbon reduction activities in an environment where automated sensors are installed and collects data by monitoring the carbon reduction activities in real time. The DCS obtains high-precision environmental data by collecting data from multiple points using a sensor network.

[0068] The DCS collects and transmits data. The DCS centrally stores the collected data, performs primary validation of the collected data, and then transmits it to the DMS (Monitoring & Data Management System).

[0069] The DCS performs data validation. To ensure the accuracy of collected data, the DCS performs validation using various algorithms and filters out errors or inaccurate data during the validation process.

[0070] The data collection unit (210) may be implemented including a Monitoring & Data Management System (DMS). The DMS processes and stores data. The DMS further processes data transmitted from the DCS. In the additional process, the DMS includes classification of data, statistical analysis, and re-verification as necessary, and finally securely stores the data in an NT-dedicated blockchain network storage.

[0071] DMS stores data on a blockchain. DMS stores verified data on a blockchain-based NT-dedicated network to ensure data integrity, transparency, and security.

[0072] DMS provides dashboards. DMS converts processed data into a human-readable format and provides it to carbon reduction stakeholders in real time via dashboards. The dashboards are designed to enable real-time monitoring by including various indicators and graphs.

[0073] The data collection unit (210) includes a reporting and verification unit. The reporting and verification unit outputs carbon reduction performance reports. The reporting and verification unit periodically uses data stored in the DMS for carbon reduction performance reporting. The reporting and verification unit provides accurate data using various analysis tools and ensures that the reports are submitted to institutions and accredited organizations.

[0074] The Reporting and Verification Department performs report generation and verification using NT LLM AI. NT's trained AI model generates automated reports based on collected data, and the AI ​​verifies the accuracy and consistency of the reports. The Department aims to reduce manual work and improve report quality.

[0075] The Reporting and Verification Department performs report provision and certification. The Department submits completed reports to accredited institutions to obtain certification. During the report submission process, the Department guarantees the reliability of the data through blockchain.

[0076] FIG. 4 is a diagram showing the connection between a carbon credit management device and a V2G network according to the present embodiment.

[0077] The carbon emission allowance issuing unit (220) using a V2G network enables the demander and supplier to carry out everything from sensing and transmission of carbon emission allowance business to emission allowance trading by utilizing a greenhouse gas reduction amount monitoring and verification system for carbon emission allowance suppliers, a greenhouse gas inventory management system for carbon emission allowance demanders, and a voluntary carbon emission allowance trading system within the city.

[0078] The carbon emission rights issuing unit (220) performs V2G network integration. The carbon emission rights issuing unit (220) closely links with the V2G (Vehicle-to-Grid) network to collect and analyze power demand and supply data in real time. The carbon emission rights issuing unit (220) optimizes the electric vehicle charging and discharging process to minimize carbon emissions.

[0079] The carbon emission rights issuing unit (220) performs optimized energy exchange. The carbon emission rights issuing unit (220) predicts power demand for the V2G network and supports an optimized energy exchange method that takes into account the variability of renewable energy.

[0080] FIG. 5 is a diagram showing the operation of an environmental situation analysis unit using V2G according to the present embodiment.

[0081] The environmental situation analysis unit (230) using V2G includes a module that collects user information and external information collected for environmental situation analysis and recognizes an environment that can reduce carbon emissions.

[0082] The environmental situation analysis unit (230) predicts the amount of reduction for each user behavior and induces behavior through an emission simulation module to reduce the effect of reduction according to user behavior. The environmental situation analysis unit (230) predicts future amounts through a computer algorithm by considering factors such as temperature, weather, day of the week, environment, and location to calculate future carbon emissions, predicts usage by combining it with information requiring actual consumption, and estimates the amount of carbon reduction through the difference in emissions by behavior type.

[0083] The environmental situation analysis unit (230) recommends an action as a result. The environmental situation analysis unit (230) enables the connection to a user device or external service through the issuance amount transmission module.

[0084] The environmental situation analysis unit (230) provides a framework for minimizing carbon emissions. The environmental situation analysis unit (230) performs bidirectional energy exchange between various types of energy generation and V2G technology. The environmental situation analysis unit (230) performs demand management through the optimization of power system operation (load balancing / stability control). The environmental situation analysis unit (230) provides a framework for minimizing carbon emissions. The environmental situation analysis unit (230) optimizes the charging and discharging strategies of electric vehicles according to the carbon emission intensity over time.

[0085] The environmental situation analysis unit (230) estimates the energy storage capacity and charging / discharging power of the electric vehicle. The environmental situation analysis unit (230) obtains fluctuating wind and solar continuous power curves. The environmental situation analysis unit (230) obtains a comprehensive load curve considering the existing load, the electric vehicle load, and the fluctuating renewable energy generation output. The environmental situation analysis unit (230) obtains the peak-valley difference and the peak-valley energy deviation. The environmental situation analysis unit (230) provides an energy consumption evaluation and carbon emission accounting and modeling of the peak shaving device.

[0086] The environmental situation analysis unit (230) calculates carbon emissions based on the charging and discharging status of the electric vehicle. The environmental situation analysis unit (230) optimizes the charging and discharging strategy of the electric vehicle according to the carbon emission intensity (CEF) over time. The environmental situation analysis unit (230) calculates carbon emissions based on the charging and discharging status of the electric vehicle (based on carbon emission flow). The environmental situation analysis unit (230) using V2G tracks real-time carbon flow through Digitalized Monitoring and Reporting. The environmental situation analysis unit (230) accurately quantifies the amount of carbon reduction.

[0087] FIG. 6 is a diagram showing the operation of the reduction amount analysis unit according to the present embodiment.

[0088] The reduction amount analysis unit (240) performs a reduction amount prediction and calculates the reduction effect according to the type of action. The reduction amount analysis unit (240) analyzes the difference between the actual estimated predicted usage when taking a general action and the usage according to the type of action actually taken (reduction action) as the reduction amount.

[0089] The reduction amount analysis unit (240) provides a carbon revenue distribution model. The reduction amount analysis unit (240) calculates revenue by connecting V2G to the carbon accounting ledger.

[0090] FIG. 7 is a diagram illustrating a customized EV carbon reduction challenge process according to the present embodiment.

[0091] The reduction amount analysis unit (240) fairly distributes carbon revenue according to the contribution of electric vehicles to carbon reduction. The reduction amount analysis unit (240) analyzes the amount of carbon emission reduction according to the type of electric vehicle, charging time, charging demand, etc. The reduction amount analysis unit (240) distributes revenue considering both the amount of carbon reduction and low-carbon costs. The reduction amount analysis unit (240) provides incentives to electric vehicle owners and infrastructure providers through carbon emission trading.

[0092] FIG. 8 is a diagram showing the issuance and recording of EV carbon credits using blockchain according to the present embodiment.

[0093] The reduction amount analysis unit (240) utilizes blockchain to provide a time for writing to the blockchain contract. The reduction amount analysis unit (240) writes to the blockchain contract immediately after the time when carbon credits resulting from carbon reduction are generated through the V2G network.

[0094] The reduction amount analysis unit (240) stores information to be recorded on the blockchain, such as the amount of carbon credits issued, the price at the time of issuance, the issuing entity, and the carbon credit owner (carbon reduction actor). The reduction amount analysis unit (240) safely stores and manages charging and discharging data of electric vehicles, carbon emission data, etc.

[0095] The reduction amount analysis unit (240) automates the carbon emission rights trading and profit distribution process through the smart contract function of the blockchain to track carbon emission rights ownership.

[0096] The reduction amount analysis unit (240) provides a peer-to-peer (P2P) platform. The reduction amount analysis unit (240) enables transaction costs to be reduced. The reduction amount analysis unit (240) performs the role of an integrated system throughout the entire process of issuance, transfer, and burning.

[0097] FIG. 9 is a diagram showing a V2G network and an EV voluntary carbon emission right (credit) trading system according to the present embodiment.

[0098] The carbon emission rights (credit) trading unit (250) collects user behavior using electric vehicles, chargers, user devices, external services, and other means to collect data on electric vehicle users.

[0099] The carbon emission rights (credit) trading unit (250) receives movement amount, movement speed, rapid acceleration / deceleration, driving time, and activities within the electric vehicle from the electric vehicle’s camera, lidar, OBD, battery management system, communication device, computing device, etc.

[0100] The carbon emission rights (credit) trading unit (250) receives information such as charging amount and time through mutual communication between the charger and the electric vehicle user terminal using an electric vehicle charger.

[0101] The carbon emission rights (credit) trading unit (250) receives information from the user terminal, such as the use of external services and certification of carbon emission reduction amount through an application.

[0102] The carbon emission allowance management device (130) recommends user data collection devices and actions. The carbon emission allowance management device (130) includes an interface that interacts with the user through an issuance amount transmission module, an environmental situation analysis system, a reduction amount collection, analysis, and certification system, an emission allowance management system, and an emission allowance trading system.

[0103] The carbon emission rights management device (130) records issuance information and transaction information in a blockchain network and a transaction ledger through a network. The carbon emission rights management device (130) can interact with service providers, including SNS, and carbon emission rights demanders in addition to electric vehicle users.

[0104] FIG. 10 is a diagram showing the operation of a carbon emission trading unit according to the present embodiment.

[0105] The carbon emission trading unit (250) records and manages the reduction in power consumption compared to the average of charging stations using the V2G network by issuing carbon credits, and transfers them to regions where carbon emissions are higher than the average. The carbon credit issuing unit (260) automatically issues carbon credits according to power consumption to power demand points using an application (112) installed on the terminal (110). The carbon credit issuing unit (260) issues carbon credits when the power usage identified through V2G is reduced compared to the average power usage of the charging station. When power is supplied to power supply points using eco-friendly renewable energy, the carbon credit issuing unit (260) reduces carbon emissions simultaneously with power production.

[0106] The carbon credit issuing unit (260) may provide points as an incentive for power reduction when a user performs voluntary actions to reduce power at a point of power usage. The carbon credit issuing unit (260) may use the points in conjunction with e-commerce. For example, if a user selects a specific electric vehicle charging station for navigation, the carbon credit issuing unit (260) may instruct the user to perform carbon reduction actions, such as changing the destination to another electric vehicle charging station or selecting a slow charging method rather than a fast charging method on-site, if the charging station is at a peak time for power usage at that time.

[0107] The carbon credit issuing unit (260) automatically issues carbon credits when the private power supply source is renewable energy, and records the quantity of carbon credits issued at the time of issuance, price information, and information of the issuing entity on the blockchain. The carbon credit issuing unit (260) causes the issued carbon credits to be transferred to carbon credit demand centers through the V2G power grid. The carbon credit issuing unit (260) also records the transfer process on the blockchain.

[0108] Conversely, the carbon credit issuing department (260) can predict the peak power value and provide a list of carbon reduction activities at a specific charging station among several charging stations.

[0109] The carbon credit issuing unit (260) predicts the energy demand flow of a specific charging station based on information from the V2G network. Based on the prediction information, the carbon credit issuing unit (260) can add a charging station as a route destination when a user adds a charging station as a route destination during the process of setting a travel route through the mobility map, and the charging station has relatively low energy demand. The carbon credit issuing unit (260) can recommend a charging station that can secure the most carbon credits (issuance of credits based on carbon reduction activities). The carbon credit issuing unit (260) allocates the charging station as a space where power can be charged using a new and renewable energy source, even though it is inefficient in terms of time and cost.

[0110] FIG. 11 is a diagram showing the operation of the carbon credit additional issuance unit according to the present embodiment.

[0111] The carbon credit additional issuance unit (270) provides voluntary carbon emission rights challenge features / information to the application (112) installed on the terminal (110). The carbon credit additional issuance unit (270) provides carbon credits along with electric vehicle charging to the application (112) installed on the terminal (110). The carbon credit additional issuance unit (270) provides a list of carbon credits by charging station as a charging station list to the application (112) installed on the terminal (110). The carbon credit additional issuance unit (270) provides a credit challenge to the application (112) installed on the terminal (110). The carbon credit additional issuance unit (270) provides Home, Find Charging Station, and Coupon Box (credits can be exchanged for other mobile vouchers affiliated with a company) to the application (112) installed on the terminal (110).

[0112] FIG. 12 is a diagram showing a Voluntary Carbon Market (VCM, hereinafter VCM) according to the present embodiment.

[0113] The Voluntary Carbon Market (VCM) is a private carbon market that has recently been growing significantly, where various organizations, including individuals, companies, governments, and non-profits, can voluntarily participate in carbon reduction projects to generate and trade carbon credits.

[0114] Carbon markets are broadly classified into Compliance Carbon Markets (CCM) and Voluntary Carbon Markets (VCM) depending on whether mandatory greenhouse gas reductions under the Kyoto Protocol are implemented.

[0115] A regulated carbon market is a system where participants can trade allowances within a total amount of greenhouse gases limited by a country, region, or institution, but the creation of new allowances is not permitted.

[0116] VCM complements the limitations of regulated markets, where carbon reduction cannot be incentivized unless an allocation applies, and features a market-oriented, autonomous structure that does not involve direct supervision by the government or regulatory agencies.

[0117] FIG. 13 is a diagram showing a filling method using carbon intensity information according to the present embodiment.

[0118] Carbon Intensity (CI) is the value obtained by dividing the amount of CO2 generated from consumed energy by the total energy consumption; a higher value indicates a higher rate of energy usage with a high carbon content.

[0119] For example, when comparing the case where all energy is consumed as coal versus the case where all energy is consumed as natural gas to obtain the same amount of heat, the former has a higher carbon intensity than the latter.

[0120] The energy source used for electricity generation varies depending on the location and time of the charging station. Real-time information can be used to calculate the actual carbon intensity.

[0121] The carbon emission rights management device (130) can recommend a charging method to the user by predicting an optimal charging pattern that can reduce carbon intensity after the current time using carbon intensity at a specific time through the analysis of energy usage patterns.

[0122] The carbon emission allowance management device (130) recommends an EV charging method capable of reducing carbon emissions by utilizing carbon intensity information. The carbon emission allowance management device (130) utilizes information such as the electric vehicle charging amount, charger specifications, current time, and carbon intensity during charging. The carbon emission allowance management device (130) predicts carbon emissions through a charging simulation utilizing vehicle information and charger information. The carbon emission allowance management device (130) derives a carbon emission reduction amount based on the predicted carbon emission amount from the simulation. The carbon emission allowance management device (130) calculates the planned accumulation points for the carbon emission reduction amount.

[0123] FIG. 14 is a diagram showing a method for proving the carbon reduction effect according to the present embodiment.

[0124] The carbon emission rights management device (130) enables a reduction in carbon emissions when purchasing coffee by using a drive-through store on the route rather than parking, compared to the time and distance required for parking and the increased distance traveled via a detour in parking, so that ordering and pickup are done inside the car in the drive-through.

[0125] The electric vehicle (120) checks whether it uses a store within a certain range of its travel route or uses a store via drive-through.

[0126] The carbon emission rights management device (130) obtains information about the route of the vehicle information system for objective verification and obtains payment information, such as a card, to verify whether actual payment has been made. The carbon emission rights management device (130) obtains information about the sales type from an external service (store) to verify the objectivity of carbon reduction actions.

[0127] FIG. 15 is a conceptual diagram illustrating a method for determining carbon emission rights according to an embodiment of the present invention.

[0128] FIG. 15 discloses a method for determining reduced carbon emissions by considering energy source information and behavioral information, and for determining carbon emission rights by considering reduced carbon emissions.

[0129] Referring to FIG. 15, the energy source information may be information about the source from which the energy used by the user comes. For example, the energy source may be a source for generating electricity, such as solar power generation, wind power generation, or thermal power generation.

[0130] Power sources can be classified into four types based on the variability of the energy source and whether the energy sources are combined. A power source refers to a place where a user receives power (e.g., a home, an electric vehicle charging station, etc.).

[0131] Energy source variability refers to whether the energy source providing power through the power source changes. For example, Power Source A can supply power through nuclear and thermal power generation, while Power Source B supplies power based on solar, thermal, and hydroelectric power generation, but can supply power by changing the energy source as needed. In other words, the energy source variability of the power source can be determined by considering whether the energy source provided through the power source changes.

[0132] The combination of energy sources refers to whether the energy sources providing power through the power source are combined. For example, Power Source A can supply power based solely on solar power generation, while Power Source B can continuously supply power through a combination of nuclear and thermal power generation. In other words, the type of power source can be classified based on whether the energy sources of the power supplied by the power source are combined or not.

[0133] The first type of power source (1510) is a power source in which the energy source is fixed and the energy source is not combined.

[0134] The second type of power source (1520) is a power source in which the energy source is fixed and the energy source is combined.

[0135] The third type of power source (1530) is a power source in which the energy source is variable and the energy source is not combined.

[0136] The fourth type of power source (1540) is a power source in which the energy source is varied and the energy source is combined.

[0137] In the present invention, reduced carbon emissions are determined in different ways for each power source, and carbon emission rights can be determined by taking into account the reduced carbon emissions.

[0138] First, since the first type of power source (1510) is a power source in which the energy source is fixed and the energy source is not combined, the reduced carbon emissions can be determined by considering only the type of energy source regardless of time.

[0139] Since the second type of power source (1520) is a power source in which the energy source is fixed and the energy source is combined, the hourly reduction in carbon emissions of the power supplied by the energy source combination can be determined by considering the proportion of each energy source that makes up the energy source combination.

[0140] Since the third type of power source (1530) is a power source in which the energy source is variable and the energy source is not combined, the carbon emissions that are reduced by time among the variable energy sources can be determined by considering the time during which the energy source is variable.

[0141] Since the fourth type of power source (1540) is a power source in which the energy source is varied and the energy source is combined, the hourly reduction in carbon emissions of the supplied power can be determined by considering the proportion of each energy source that makes up the combination of energy sources and the variation of the energy source.

[0142] In other words, the amount of carbon emissions reduced is determined in different ways depending on the type of power source.

[0143] In addition, the present invention can determine the carbon emissions reduced according to behavior by considering the user's power usage behavior type and the type of power source the user intends to use.

[0144] The first power usage behavior type (1550) is a case where the user cannot postpone the use of power and cannot determine the place of use of power. For example, in the case of a power source supplied to a general household, the user cannot postpone the use of power and cannot determine the place of use of power, and the use of such a power source can be defined as the first power usage behavior type (1550).

[0145] The second power usage behavior type (1560) is a case where the user can postpone the use of power or determine the location of power usage. For example, the use of a power source in which the location and time of use of power can be determined, such as determining the charging station of an electric vehicle or changing the charging time of an electric vehicle, can be defined as the second power usage behavior type (1560).

[0146] According to an embodiment of the present invention, for a first power usage behavior type (1550), carbon emission rights may be allocated based on a simple reduction in power usage. For example, power usage based on the average number of households per generation may be set as the default power usage, and if power usage is lower than the default power usage based on this, carbon emission rights may be allocated by considering the difference in power usage as the amount of carbon reduction.

[0147] For the second power usage behavior type (1560), the reduced carbon emissions according to the power source type can be calculated and carbon emission rights can be allocated accordingly.

[0148] When a second power usage behavior type (1560) is to be performed, power sources may be recommended in order of priority based on the location of the power source and the time of time of power usage, in order of the greatest reduction in carbon emissions. The recommendation priority may be set differently depending on the power usage object (e.g., electric vehicle) used by the user. The recommendation priority may be determined by considering the mobility of the power usage object, the user's usage time of the power usage object, the user's movement path, the user's location at different times, etc.

[0149] As mentioned above, the energy sources used may differ depending on the type of power source, and the energy sources and combinations of energy sources used for power supply may change over time. Taking this into account, if power is to be used at a specific point in time, recommendations can be made for available power sources that are not far from the user's location while maximizing the reduction in carbon emissions for each time period. The criterion for determining the amount of carbon emission reduction may be the difference in carbon emissions between the power source generating the highest carbon emissions among those within a critical distance from the user and the power source used by the user.

[0150] FIG. 16 is a conceptual diagram illustrating a method for determining carbon emission rights according to an embodiment of the present invention.

[0151] FIG. 16 discloses a method for determining reduced carbon emissions by considering energy source information and behavioral information, and for determining carbon emission rights by considering reduced carbon emissions.

[0152] Referring to FIG. 16, a method for providing carbon emission rights to a user through tracking the behavior of a user using electricity is disclosed.

[0153] User behaviors eligible for carbon credits can be determined based on user behavioral information. For example, specific patterns, such as the lifestyle of charging an electric vehicle while operating it, can be identified as target behaviors for determining carbon credits.

[0154] Registration of a power-consuming object (e.g., an electric vehicle) that consumes power in relation to the user's behavior determined as a target behavior may be performed. When a power-consuming object is registered, information about the power-consuming object may be registered in a server for determining carbon emission rights (e.g., a carbon emission rights management device).

[0155] Data on power usage by power-using objects is entered through a carbon emission rights management device, and management of power charging by power-using objects can also be performed.

[0156] A power source can be recommended to the user based on the first threshold power setting amount (1610) and the second threshold power setting amount (1620) set for each power usage object.

[0157] The first threshold power setting amount (1610) can be set according to the power usage object in a state where charging is not yet urgent. For example, 30% or less of the total charging amount can be set as the first threshold power setting amount. The second threshold power setting amount (1620) can be set according to the power usage object in a state where charging is urgent. For example, 5% or less of the total charging amount can be set as the second threshold power setting amount (1620).

[0158] When the first threshold power setting amount (1610) set for each power usage object is lower than or equal to that point, and when the second power usage behavior type described above is to be performed upon the user's request from that point onward, power sources can be recommended in order of priority based on the location of the power source and the time of power usage, in order of the greatest reduction in carbon emissions.

[0159] In the present invention, when the first threshold power setting amount (1610) is less than or equal to the current time and the current user's location, a power source may be recommended according to priority.

[0160] Afterwards, when the second threshold power setting amount (1620) is lower, a power source may be recommended according to priority, taking into account only the current user's location.

[0161] In other words, power sources can be recommended based on different logic considering the threshold power setting amount, and based on this, users can charge power-consuming objects using power sources that reduce possible carbon emissions.

[0162] When charging of a power-using object proceeds through a recommendation for a power source, carbon credits are provided based on the predicted amount of carbon reduction for each power source during a critical validity period, based on the time of the recommendation for the power source, and if the critical validity period is exceeded, the predicted value of carbon reduction for each power source may be reset to provide carbon credits.

[0163] For example, if the energy source is not fixed or power is supplied through a combination of energy sources, the predictions for the energy source and the combination of energy sources at the current time change over time, and the actual charging time may differ from the predicted value. Therefore, when performing predictions by power source, carbon emission rights can be provided to users by setting different validity periods for carbon reduction based on the type of power source, taking into account whether the energy source is fixed and the characteristics of the energy source combination, thereby recognizing the predicted carbon reduction only during the corresponding validity period.

[0164] The above description is merely an illustrative explanation of the technical concept of the present embodiment, and a person skilled in the art to which the present embodiment belongs would be able to make various modifications and variations within the scope of the essential characteristics of the present embodiment. Accordingly, the present embodiments are intended to explain, not limit, the technical concept of the present embodiment, and the scope of the technical concept of the present embodiment is not limited by these embodiments. The scope of protection of the present embodiment shall be interpreted by the claims below, and all technical concepts within an equivalent scope shall be interpreted as being included within the scope of rights of the present embodiment. Explanation of the symbols

[0165] 110: Terminal 120: Application 120: Electric vehicle 130: Carbon Emission Control System 210: Data Collection Unit 220: Carbon Emission Rights Issuing Department 230: Environmental Situation Analysis Department 240: Savings Analysis Department 250: Carbon Emissions Trading Department 260: Carbon Credit Issuing Department 270: Additional Carbon Credit Issuance Department

Claims

Claim 1 A data collection unit that collects carbon activity data including power consumption and electric vehicle charging amounts; a carbon emission allowance issuance unit that, when issuing carbon emission allowances based on the carbon activity data, establishes carbon emission standards based on carbon emission allowances set by the government or an agency, allocates permitted allowances to companies, industries, or individuals based on the carbon emission standards, officially issues allowances after verification by a third-party verification agency, performs free allocation (Grandfathering) in which carbon emission allowances are allocated for free based on existing emissions, performs paid allocation (Auctioning) in which companies purchase carbon emission allowances using an auction, or performs a reward-based (Credit Mechanism) in which additional allowances are provided upon participation in eco-friendly projects; an environmental condition analysis unit that predicts future carbon emissions based on temperature, weather, day of the week, environment, and location factors; and, when calculating the reduction amount by the difference between the future carbon emissions and actual carbon usage resulting from actions, establishes a baseline using historical data and industry average values, calculates the reduction amount by subtracting the consumption after improvement from the consumption corresponding to the baseline, and calculates the carbon emissions by subtracting the actual emissions from the baseline emissions. A reduction amount analysis unit that calculates the reduction amount; a carbon credit issuance unit that, when issuing carbon credits based on the reduction amount, issues the carbon credits according to the power consumption at the power demand point, issues the carbon credits when the power usage identified using V2G is reduced compared to the average power usage of the charging station, and issues the carbon credits when the private power supply source is renewable energy; and a carbon credit issuance unit that enables the trading of carbon emission allowances based on the carbon credits, operates within the carbon emission limits allocated to companies, institutions, and individuals for the Emission Trading System (ETS), and allows for the purchase of emission allowances in the market or the sale of remaining allowances if excess emissions occur.It includes a carbon emission trading unit that enables companies, institutions, and individuals to conduct transactions within pre-set emission allowances using the Compliance Market; allows companies, institutions, and individuals to purchase emission allowances in case of over-emission or sell remaining allowances through reduction by implementing Cap-and-Trade; allows companies, institutions, and individuals to autonomously trade carbon emission allowances regardless of government regulations through a Voluntary Market; enables the generation and sale of emission allowances using carbon reduction projects; performs emission monitoring to have companies, institutions, and individuals measure and report actual emissions; requires the purchase of emission allowances in case of over-emission; enables companies, institutions, and individuals with over-emissions to purchase emission allowances in the market; and allows companies with emissions less than the allocated amount to sell surplus emission allowances by selling remaining allowances. The carbon emission allowance issuing unit includes, when determining the carbon emissions reduced according to behavior based on the user's power usage behavior type and the type of power source the user intends to use, if the user cannot postpone power usage and cannot determine the destination of power usage, the first power usage behavior type Determine, and if the user can postpone power usage or determine the destination of power usage, determine as a second power usage behavior type; for the first power usage behavior type, allocate the carbon emission rights based on a simple reduction in power usage; set the power usage based on the average number of households per generation as the default power usage; if the power usage is lower than the default power usage, recognize the difference in power usage as the carbon reduction amount and allocate the carbon emission rights; for the second power usage behavior type, allocate the carbon emission rights according to the carbon emission amount reduced according to the power source type; and when the second power usage behavior type must be performed,A carbon emission rights management device characterized by recommending power sources in order of the greatest reduction in carbon emissions based on the location of the power source and the time of power usage, setting the said priorities differently depending on the power usage object used by the user, and determining said priorities based on the mobility of said power usage object, the user's usage time for said power usage object, the user's movement path, and the user's location by time. Claim 2 A carbon emission rights management device according to claim 1, characterized in that the data collection unit collects the power usage and the electric vehicle charging amount in conjunction with a V2G (Vehicle-to-Grid) network. Claim 3 A carbon emission rights management device according to claim 1, wherein the data collection unit stores the carbon activity data in a blockchain network storage. Claim 4 A carbon emission rights management device according to claim 1, characterized in that the data collection unit provides an editing function that outputs an alert on a tab screen and allows the relevant part to be entered manually when an error or an element requiring re-verification is found in the carbon activity data. Claim 5 A carbon emission rights management device according to claim 1, wherein the data collection unit provides carbon monitoring data tagging that tags carbon monitoring back data on a documentation tool to enable re-verification of carbon activity data or data-driven decision-making. Claim 6 A carbon emission rights management device according to claim 1, wherein the data collection unit provides an external data addition function capable of searching for and adding external data including sensors, weather, and geographic information to the carbon activity data.

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