A server 1 comprises: an absorption amount calculation unit 31 which calculates an absorption amount of carbon dioxide of a cement product CP on the basis of an absorption capability required according to product information about the cement product; a use state management unit 33 which associates the calculated absorption amount with each cement product and manages the associated results; and an absorption amount correction unit 34 which frequently corrects the absorption amount on the basis of the use state or a use environment of the cement product, wherein the absorption amount of the carbon dioxide is managed by means of a database with increased reliability. In addition, the server 1 further comprises an authentication recording unit 36 which associates each cement product with a carbon credit issued on the basis of the calculated absorption amount and records the associated results, and the server manages the carbon credit and performs a safe trade.

The present invention relates to a method for managing carbon credits in an EV ecosystem and an apparatus for performing such a method. The method for managing carbon credits in an EV ecosystem comprises the steps in which an EV ecosystem managing device: receives EV eco-data containing activity data of EV ecosystem-participating devices; and generates carbon credits on the basis of the EV eco-data.

One or more emissions data sets from an environmental micro-device are normalized and binned based on at least one criteria filter. One or more data groups are determined from the binned one or more data sets. A first data centroid for a first portion of the one or more data groups is determined. A portion of the one or more data sets is added to the one or more data groups and a second data centroid for a second portion of the one or more data groups is determined. A credit representing a decrease between the second data centroid and the first data centroid for the one or more data groups is then determined.

A carbon dioxide consumption amount calculation system includes a first detector, a second detector, and a data processing device. The first detector is disposed in a first supply passage between a supply section serving as a carbon dioxide supply source and a carbon dioxide utilization device which produces a carbon dioxide-originating product by using, as a raw material, carbon dioxide supplied from the supply section. The first detector detects a first parameter related to carbon dioxide supplied via the first supply passage. The second detector detects a second parameter related to carbon dioxide contained in the product produced by the carbon dioxide utilization device. The data processing device calculates the amount of carbon dioxide consumed in the carbon dioxide utilization device on the basis of the first parameter and the second parameter.

The present invention relates to a method for implementing an electric vehicle (EV) ecosystem and a device for performing the method. The method for implementing an EV ecosystem may comprise the steps of: receiving, by an EV ecosystem management device, EV eco-data from EV ecosystem participant devices; and managing, by the EV ecosystem management device, the EV ecosystem on the basis of the EV eco-data.

An embodiment relates to a method by which a virtual power plant (VPP) operator submits a bid for renewable energy in the electricity market. The bidding method for renewable energy according to an embodiment includes: generating a predicted power generation amount distribution for distributed energy resources; defining an ambiguity set for target power generation amount distributions of which a Wasserstein distance from the predicted power generation amount distribution is less than or equal to a reference value; setting an objective function that is in proportion to a revenue for the ambiguity set; and determining a power amount, which corresponds to any one target power generation amount distribution at which the objective function is maximum, as a bidding quantity.

Provided is a device, a method, and a program for enabling tracking of power supply and demand of renewable energy while separating an unsuccessful delivery risk of power with high severity from an unsuccessful delivery risk of a renewable energy value and securing delivery of power with high accuracy by simultaneously and continuously trading power and environmental certificates. Based on information such as power demand-supply plan information, future transaction information, power demand-supply performance information, and physical transaction information, a future transaction and a physical transaction of power and environmental certificates are contracted and cleared by sequentially duplicating power selling note data, power purchasing note data, environmental certificate selling note data, and environmental certificate purchasing note data each associated with a time stamp, a par amount, and a holder ID, and rewriting the par amount and the holder ID thereof.

Embodiments of the present disclosure herein provide a method and system of a non-linear single level optimization model for estimating DER responses in MAMS environment. Existing methods do not have a framework for volume allocation optimization and price-volume optimization especially in multi-aggregator multi-subscriber systems. Moreover, the price-volume optimization methods in existing literature consider a system having multiple subscribers and single aggregator only and using these methods it is difficult to assess how multiple subscribers will behave with multiple aggregators. Further, in a multi-aggregator system, determining the prices offered by each for an amount of energy resource allocated by the subscribers is another challenge, since the prices offered are dependent on several factors such as day ahead market prices, market risks and the like. The disclosed non-linear single level optimization model enables to estimate equilibrium optimal values between an amount of energy resources allocated for each aggregator among the one or more aggregators and the amount of energy resource traded by each aggregator in one or more energy markets.

A system and method for generating cryptocurrency coins based on physical exercise is provided. The system includes a hydraulic resistance control valve coupled to an actuator, which regulates bidirectional oil flow to establish a variable resistance load corresponding to the user's effort. An exercise attachment is mechanically coupled to the actuator, enabling a user to perform exercises. An electronic control unit equipped with pressure transducers and accelerometer sensors captures hydraulic pressure, resistance settings, and motion data, generating digital exercise data. A processor calculates power output in watts from the exercise data, converts the power output into exercise tokens according to a watt-to-token conversion algorithm, and transmits the tokens to a blockchain exchange interface. The blockchain exchange interface converts the tokens into cryptocurrency coins deposited into a user's cryptocurrency wallet. In some embodiments, the system further stores electrical energy in lithium-ion batteries and mints non-fungible tokens (NFTs) associated with performance milestones.

Systems and methods presented herein provide for a non-fungible token (NFT) sustainability credit marketplace. One system includes a regulating authority platform operable to generate and issue an NFT for a sustainability credit, and an organization platform operable to receive the issued NFT sustainability credit from the regulating authority platform over a network. A trading platform receives the NFT sustainability credit from the organization platform, posts the NFT sustainability credit for sale, conducts a transaction of the NFT sustainability credit between the organization platform and a buyer platform, and instantiates the transaction in a block of a blockchain of the NFT sustainability credit. A plurality of nodes validates the block and manage the blockchain of the NFT sustainability credit.