20 results about "Carbon credit" patented technology

The objective is to provide a method for businesses to efficiently manage and calculate their greenhouse gas emissions. [Solution] A method for recommending carbon credits for a business operator according to one embodiment of the present invention, wherein the control unit of a management terminal receives search conditions for carbon credits from the business operator terminal, refers to carbon credit information stored in the storage unit of the management terminal, extracts one or more carbon credits that match the search conditions, and transmits the extracted carbon credits to the business operator terminal.

This invention proposes a carbon credit mechanism and points allocation method for large-scale events based on blockchain technology, relating to the field of dynamic allocation of carbon credits based on blockchain. The method includes: integrating ambient temperature data to generate multi-dimensional carbon reduction data for individual emission reduction behaviors; extracting cluster centers for each type of emission reduction behavior and their corresponding ambient temperature data to construct an individual satisfaction function; dynamically calculating the weights of individual emission reductions and individual satisfaction based on real-time carbon prices published in the local carbon market, combined with the entropy weight method, to generate individual carbon credit allocation factors; and calculating the carbon credits for each individual within a time window based on these individual carbon credit allocation factors, and writing the carbon credits into their corresponding blockchain account. This invention enables dynamic correlation assessment between individual emission reduction behaviors and environmental factors in large-scale events, improving the fairness and incentive effectiveness of carbon credit allocation, while ensuring data privacy and blockchain traceability.

This invention discloses a trusted carbon footprint storage and intelligent traceability system for gold recycling based on blockchain and AI technologies, belonging to the intersection of green finance technology and environmental protection technology. The system adopts a four-layer architecture: the data acquisition layer binds batch IDs through GS1 encoding and integrates multi-source data through IoT sensors, a mobile app, and edge preprocessing; the AI ​​processing layer accurately calculates the carbon footprint based on a dynamic LCA model, optimizes process parameters through deep reinforcement learning, and simulates emission reduction potential; the blockchain storage layer uses a consortium blockchain (PBFT consensus) + IPFS storage, deploying smart contracts for storage and verification to automatically generate CDCEER carbon credits; the application layer provides traceability queries, ESG dashboards, regulatory audits, and green finance interfaces. This invention solves the problems of data fragmentation, inefficient calculation, and difficulty in value conversion, achieving trusted management and value conversion of the entire carbon footprint process, helping enterprises reduce costs and increase efficiency, comply with emission reduction regulations, and promote the green upgrading of the recycled precious metals industry.

The application provides a green intelligent ticket generation and settlement system supporting real-time deduction of carbon credits, and relates to the field of digital data processing, comprising a carbon emission reduction quantification module, a ticket carbon credit linkage settlement module, a user and credit account management module, a travel data access module and a payment channel module, the carbon emission reduction quantification module takes private car travel as the benchmark emission reference, calculates the carbon emission reduction of actual travel of the user, and adopts a group scarcity dynamic conversion mechanism to convert the carbon emission reduction into carbon credits, the ticket carbon credit linkage settlement module defines ticket payment, carbon credit deduction and ticket generation as three-atomic commit units, synchronously executes through a concurrent pre-occupation mechanism, and uniformly submits to generate a ticket voucher after successful pre-occupation of the three parties; the application realizes real-time linkage of carbon emission reduction quantification and ticket settlement, and fundamentally solves the problems of lack of dynamic and reliable mechanism for carbon credit conversion and inconsistent state caused by step-by-step settlement of tickets and credits.

The present invention may comprise the steps of: receiving carbon credit methodology data from a first terminal; storing the carbon credit methodology data on the basis of an authentication result for the carbon credit methodology data; and determining a carbon credit on the basis of at least one of an electronic receipt or transaction information and the stored carbon credit methodology data.

Systems and methods are disclosed for tracking, via a blockchain registry, carbon credits in goods produced from materials with sequestered carbon. Materials with sequestered carbon may be produced by reacting greenhouse gases with air and other reagents and catalysts (including biological organisms). Following production of a batch of material with sequestered carbon, a blockchain entry may be recorded with production details and details of carbon-credits earned during production. The carbon-sequestering material may later be converted into products, each of which may have a unique product identifier. A blockchain entry may be recorded with the unique product identifiers such that an owner of a unit of product can obtain, from the blockchain registry, a verified amount of carbon-credit associated with that unit. associated with that unit. 20 26 20 53 94 08 J ul 2 02 6 2 0 2 6 2 0 5 3 9 4 0 8 J u l 2 0 2 6

A management system according to an aspect of the present disclosure includus: at least one memory storing a set of instructions; and at least one processor configured to execute the set of instructions to: receive summary information about an absorption source of carbon dioxide; calculate, from the summary information, an approximate amount of money of revenue resulting from a sale of a carbon credit of the absorption source; and present the calculated approximate amount of money of revenue.

The objective is to provide a method for businesses to efficiently manage and calculate their greenhouse gas emissions. [Solution] A method for supporting the creation of carbon credits by a business operator according to one embodiment of the present invention, wherein the control unit of a management terminal receives information on a project related to carbon credit creation from the business operator terminal, refers to the project information, receives evidence data to prove the amount of greenhouse gas emission reduction related to the referenced profile information, and records the data to prove the amount of reduction on a blockchain network.

This invention relates to the field of carbon asset data processing and cross-domain carbon credit transfer verification technology, specifically to a method for verifying the consistency of cross-domain carbon credit transfers. This method receives a cross-domain carbon credit transfer request, generates a request, identity, and state summary, forms a source domain locking dark fingerprint and a zero-knowledge state proof package, generates transaction and declaration anti-duplicate identifiers, and combines sequence exposure risk values ​​and negative state collision risk values ​​to complete the verification and output the consistency verification result. This invention, through joint verification using summaries, dark fingerprints, commitment trees, zero-knowledge state proofs, and anti-duplicate identifiers, confirms state consistency while reducing plaintext disclosure in the source domain, preventing duplicate transfers and duplicate declarations, and constraining sequence exposure and negative state collision risks.

The application belongs to the technical field of power system automation and collaborative scheduling. A power-carbon linkage scheduling method based on privacy protection type federal reinforcement learning and collaborative game, characterized by the following steps: 1) privacy protection type distributed training architecture construction: build a heterogeneous intelligent agent framework based on federal reinforcement learning; 2) dynamic carbon credit image and electric-carbon linkage mechanism implementation: establish a dynamic carbon credit evaluation model based on real-time electric energy component tracking; 3) multi-agent collaborative game and risk-sensitive strategy optimization: implement a revenue distribution strategy based on Nash negotiation theory, and change the one-way master-slave game between the distribution-microgrid into a common interest community; 4) hydrogen-ammonia coupled multi-energy flow state monitoring and adaptive adjustment: build a "electric-hydrogen-ammonia" multi-stage energy conversion link, and monitor the energy flow state of electrolytic cell, hydrogen storage tank and ammonia synthesis device in real time. The method can protect the privacy of the subject and improve the accuracy of carbon reduction guidance.

The application provides a plant planning method and device, electronic equipment, computer readable storage medium and computer program product. The method comprises: a reduction measure set construction step, the reduction measure set comprising at least one of a building reduction measure set, an energy utilization measure set, a greenhouse gas reduction measure set and a carbon credit measure set; a stage optimization model construction step, constructing an optimization model of a plurality of implementation stages of the reduction measure set; a model solving step, based on the target score of the plurality of implementation stages, solving the optimization model to obtain an optimal total cost, the optimal total cost comprising the sum of the target costs corresponding to the target scores of all implementation stages. The application solves the problem that the existing plant planning method does not consider the influence of the relevant policies of zero-carbon plants on the plant planning process.

A method for managing carbon emission from a company on the basis of a blockchain, according to an embodiment of the present disclosure, may comprise the steps of: issuing a carbon emission token corresponding to a carbon credit assigned to a target company; transmitting the issued carbon emission token to a digital wallet of the target company; and incinerating the carbon emission token stored in the digital wallet of the target company, on the basis of the amount of carbon emission from of the target company.

An example operation includes comparing a first set of driving styles for a vehicle to a second set of driving styles for one or more similar vehicles in a geographic area over a period, wherein the first set of driving styles affects a carbon footprint of the vehicle and the second set of driving styles affects another carbon footprint of the one or more similar vehicles; determining a carbon credit when the carbon footprint of the vehicle is lower than the another carbon footprint of the one or more similar vehicles, by a threshold, based on the comparing; and applying the carbon credit to the vehicle.

A blockchain system is disclosed for tracking and exchanging carbon credits between providers and acquirers. The blockchain system can be a closed-loop gateway that exchanges tracked tokens from an original carbon credit provider through subsequent acquirers. Additionally, future projected carbon credits can be generated and / or verified.

The application provides a kind of urban water system operation method, system, equipment and medium, method includes: obtaining the operation data of urban water system;Operation data includes the carbon emission data of water facilities and the carbon absorption data of ecological zone;According to carbon emission data, determine the carbon emission of urban water system;According to carbon absorption data, determine the carbon absorption of ecological zone;According to carbon emission and carbon absorption, generate control parameters of water facilities and carbon credit list of urban water system.The generated control parameters are more accurate by comprehensively considering the absorption and fixation of ecological facilities in water carbon cycle.Carbon sink capacity is included in water scheduling system by generating carbon credit list from carbon emission and carbon absorption.

This application provides a demand-responsive dynamic public transport route generation system. This system dynamically aggregates passenger orders through a spatiotemporal clustering unit to generate virtual stops, and combines this with a route optimization unit to adjust vehicle routes in real time, effectively balancing passenger convenience with vehicle operational efficiency. More importantly, the introduction of a carbon accounting unit provides a quantitative basis for green travel. By calculating carbon emission reductions and converting them into carbon credits, it incentivizes users to choose efficient travel modes, contributing to the achievement of carbon neutrality goals in urban transportation. Overall, this system breaks the limitations of traditional fixed bus routes and stops, constructing a demand-driven, dynamically responsive public transport service model. It not only meets passengers' personalized travel needs but also reduces operating costs and environmental impact through optimized resource allocation, providing a feasible solution for the intelligent upgrading of public transport.

This application relates to a high-powered flashlight-style spiral reactor with internal and external sheaths, comprising a system (100) and method (300) for air purification, oxygen enhancement, semi-purification of water, and fixation of pollutants. The system (100) includes an air intake device (101) for drawing in contaminated liquid / air / gas, sensors (102, 110) for measuring carbon and oxygen, an ultraviolet filtration unit (103), an autoclave treatment system (104), a mixing chamber (105), a water pump (106), a photoelectric system (107) with a spiral tubular coil (1) and LEDs, a filter (108), and an interconnected ultraviolet system (109). The system also features a central heating or cooling system (111). The system (100) is capable of enhancing oxygen content, fixing carbon dioxide to obtain carbon credits, and effectively treating waste gas and water. It is easy to operate, highly efficient, and versatile. The system (100) is suitable for any chemical reaction requiring extended residence time, microbial or yeast culture, and the growth of microalgae or macroalgae.

The application discloses a kind of carbon integration bank driven carbon inclusive commercial operation system and method, it is related to green financial technology and community carbon governance technical field.The system includes: user behavior acquisition and data processing module, for through the Internet of Things equipment and third party API interface collection resident and enterprise's multi-source green behavior data;Carbon credit bank core engine, adopt blockchain technology to build personal and enterprise carbon account, and integrate carbon coin issue, wallet management, exchange and cross-scene payment function;S2G2B2C four-dimensional collaborative platform, connect supply chain merchant end, government regulatory end, community resident end and industry collaborative end, realize the closed loop circulation of carbon credit in merchant consumption, policy incentive, community governance and product carbon footprint tracking;And intelligent operation support system, include policy rules engine, transaction matching module, ESG (environment, society and corporate governance) data reporting tool, partner management platform and decision analysis big screen.The application by scattered low-carbon behavior assetization is interest-bearing, can be pledged, can circulate carbon digital rights and interests, constructs "behavior is asset, green is income" market operation mechanism, on the premise that without government continuous subsidy, reduce community average carbon intensity, improve merchant repeat purchase rate, increase the technical effect of resident green behavior participation.

This invention discloses a consumer behavior-driven carbon credit conversion method and application system. By collecting purchase data of near-expiry food, the system calculates emission reductions by category carbon reduction coefficient multiplied by measurement, and maps these reductions to carbon credits in real time (1kg CO₂e = 10 credits, error ≤5%), and connects to a third-party carbon trading platform. This solves the problems of coarse calculations and poor real-time performance in existing methods, and can accurately incentivize users to engage in green consumption. It is suitable for carbon credit scenarios on community O2O platforms.