25 results about "Carbon offset" patented technology

A Comprehensive Energy-Saving and Carbon-Negative system (CESCN) includes a Carbon-negative Emissions Device (CED) based on Carbon Capture, Utilization and Storage (CCUS). CED can obtain a carbon emission reduction target from a current Industry 4.2-Green intelligent Manufacturing (14.2-GiM) system, and then collect the material consumption and equipment operation energy consumption data of the CCUS process of CED through a Cyber Physical Agent (CPA) which is the Internet of Things (IoT) component. An intelligent method is used to identify the execution progress of CCUS and improve the automation and intelligent operation of CCUS. The CESCN can effectively reduce the manpower requirements of implementing CCUS and the overall energy consumption of the production line. In addition, it can calculate the amount of the carbon reduction, the amount of the carbon offset and amount of feasible carbon trading according to the amount of carbon fixation.

The system according to this embodiment aims to effectively link individual eco-activities to corporate carbon offsetting. [Solution] The system according to the embodiment comprises a collection unit, a proposal unit, an aggregation unit, and a sales unit. The collection unit collects data on individuals' eco-activities. The proposal unit proposes SDGs activity plans based on the data collected by the collection unit. The aggregation unit aggregates the results of the SDGs activities proposed by the proposal unit and converts them into credits. The sales unit sells the credits converted into credits by the aggregation unit to companies.

Systems and methods for a semi-continuous, hydrocarbon pyrolysis process to simultaneously produce CO2-free H2 and high value carbon, wherein the value of the produced carbon offsets the cost of H2 production, are described. The methods comprise a process, wherein steps of: hydrocarbon pyrolysis over a metal-based catalyst to produce H2 and high value carbon; in-situ dislodging of the high value carbon from the catalyst with a vigorous gas stream fluidization; and the catalyst reductive regeneration are semi-continuously cycled such as to continuously recycle the catalyst.

Predictive energy management across a plurality of microgrids situated at disparate facilities is disclosed. Each microgrid may include one or more distributed energy resources (DERs). Reception of profile data from these microgrids and the creation of aggregated profiles is enabled, which may incorporate the profile data, charts of accounts, energy transfer tariffs, and other energy-related attributes. An event detection engine may identify triggering events such as energy surpluses, deficits, or operational conditions, indicating a benefit to energy reallocation. A recommendation engine may generate energy allocation recommendations based on predictive models, optimizing factors like cost efficiency, carbon offset utilization, and energy availability. The recommendations may be executed through an aggregation server, which dynamically updates the aggregated profiles in real-time.

The application discloses a kind of rural distributed photovoltaic's net environmental benefit evaluation and accounting method, system in photovoltaic power generation technical field, the method includes data acquisition, whole life cycle carbon footprint accounting, carbon preferential emission reduction amount accounting, carbon compensation period calculation, optimization suggestion output etc.Steps, the system is used to realize the method.The application fuses whole life cycle carbon footprint accounting and carbon preferential emission reduction amount calculation, builds integrated evaluation index with carbon compensation period as core, aims at accurately quantifying the net environmental contribution of project after recovering its own carbon cost.The method can not only provide solid environmental integrity guarantee for carbon preferential assets, but also provide overall data support for low-carbon design and decision of project, fundamentally solve the problem that current environmental benefit evaluation is not complete and not transparent.

Methods and systems are provided for producing tradeable environmental attributes such as carbon offsets from the physical movements of users. The solution incorporates the use of a modal shift optimization application executed on a user's device. The application locates alternative transport options, and monitors the user's physical movements as the user travels to the destination using one of the alternative transport options. A carbon offset system receives the user's trip data and calculates project greenhouse gas (GHG) emissions for the user's journey. The carbon offset system also calculates baseline GHG emissions for a baseline transport option. The carbon offset system obtains data on the GHG emissions avoided by determining a difference between the baseline and project emissions and subtracting for leakage; the GHG emissions avoided can be validated and verified for the production of carbon offsets.

The invention discloses an automobile station service fee pricing processing method and device under the perspective of electricity and carbon, and the method comprises the steps: collecting the historical charging behavior data of a user through a user terminal and a station management system, and calculating the score of each user on a price sensitive factor, a distance sensitive factor, a time sensitive factor and a carbon excitation sensitive factor; calculating the carbon emission reduction generated by the current charging of the user; converting the calculated carbon emission reduction into a carbon value according to the real-time price of the carbon trading market; calculating a carbon deduction amount corresponding to the electric quantity per kilowatt-hour, and applying the carbon deduction amount to user electricity fee settlement to determine a deducted electricity price; and solving the non-cooperative game model through an iterative algorithm until a set station strategy change is smaller than a set threshold value, and outputting an optimal pricing and personalized incentive strategy in an equilibrium state. According to the invention, electricity-carbon cooperation is realized, user satisfaction and station income are improved, privacy is guaranteed, the method is suitable for intelligent charging operation and other scenes, and a low-carbon target is assisted.

The application relates to the field of carbon footprint tracking, in particular to an office consumable carbon footprint tracking and tracing method and system for a whole life cycle. The method comprises the following steps: acquiring dynamic use data sets in a single carbon powder supplement cycle of a selenium drum, based on which, carbon powder consumption analysis, printing job carbon emission analysis and direct power carbon emission analysis are carried out, and a carbon emission set in the carbon powder supplement cycle is generated; acquiring selenium drum waste disposal information, based on which, service whole cycle carbon emission integration and closed loop processing carbon offset accounting are carried out, and a selenium drum service whole cycle net carbon emission set is generated; based on this, carbon footprint report visualization generation and low-carbon management suggestions are carried out, and a selenium drum whole life cycle carbon footprint report is generated and output. In the office consumable carbon footprint tracking process, accurate carbon management and emission reduction decision can be supported, and the credibility of enterprise carbon disclosure and the effectiveness of emission reduction strategy can be enhanced.

The invention discloses a power distribution network low-carbon scheduling method considering carbon compensation excitation, and the method achieves the coordination balance of economic operation and carbon emission reduction of a power distribution network under a game framework through introducing a dual excitation compensation mechanism and a user satisfaction model. The basic thought of the method is as follows: classifying the load of the power distribution network, and establishing a corresponding response model; designing a dual excitation mechanism combining price excitation based on time-of-use electricity price and compensation excitation based on carbon emission reduction; constructing a double-layer leader-following game model including a power distribution network operator and a user; establishing a scheduling optimization model and setting necessary operation constraints by taking minimization of the total operation cost of the power distribution network as an objective function; and a system equilibrium solution is obtained by adopting an adaptive memory differential evolution algorithm and an improved game solving process.

This invention relates to a data-driven, multi-agent energy and carbon collaborative decision-making method for low-carbon industrial parks. It constructs a multi-agent dynamic Stackelberg game model, incorporating time-varying grid-side carbon intensity and the carbon offsetting benefits of green electricity into the multi-agent game decision-making process. Energy suppliers act as leaders, and users as followers, aiming to minimize the sum of economic energy consumption costs and carbon costs calculated based on dynamic carbon factors to solve for the optimal energy consumption strategy. A hybrid intelligent solution framework is used to solve the multi-agent dynamic game model. At the game strategy learning level, an improved multi-agent deep reinforcement learning algorithm is employed to approximate the game equilibrium. At the individual optimization level, an improved multi-objective particle swarm optimization algorithm is embedded within the follower agent to solve for the follower's optimal response under the current price strategy. Compared with existing technologies, this invention can coordinate the interests of multiple agents with dynamic carbon objectives, promoting source-load synergy and efficient renewable energy consumption.

A method for reducing carbon dioxide emissions using trusted on-demand distributed manufacturing includes, through operation of a processor in a system, automatically calculating carbon dioxide reduction (carbon offset) of a manufactured product, storing the calculated carbon dioxide reduction, automatically transmitting the calculated carbon dioxide reduction to a certification body, and receiving carbon offset credit issued by the certification body.

Systems and methods are provided for identifying travel options, for users, consistent with corporate policies. One example computer-implemented method includes receiving, from a user, a travel request for travel from an origin to a destination and retrieving additional input data including environmental, social and / or governance (ESG) goals of a first entity, with which the user is associated, and a carbon offset program of the first entity. The method also includes applying a generative artificial intelligence (AI) model to the travel request, the ESG goals of the first entity and the data representative of the carbon offset program, to generate an output travel recommendation that includes a travel itinerary and a carbon offset purchase option. The method then includes presenting the travel recommendation to the user and purchasing the carbon offset option from the recommendation, from a participant, in response to acceptance of the travel recommendation by the user.

This application discloses a carbon accounting method, apparatus, storage medium, and electronic equipment for a wire dismantling production line, relating to the field of power waste material processing technology. The method includes: dividing the wire dismantling production line into functional accounting units; collecting basic accounting data corresponding to each functional accounting unit through IoT sensing nodes deployed on the functional accounting units; calculating the total direct carbon emissions during the wire dismantling process based on the basic accounting data; calculating the carbon compensation amount from wire dismantling and recycling based on the output information in the basic accounting data; and performing a deduction operation on the carbon compensation amount using the total direct carbon emissions as the calculation base to obtain the net carbon emissions of the wire dismantling production line. This application can improve the accuracy and relevance of carbon accounting for wire dismantling production lines.

The invention provides a grid scale-based carbon compensation method and device, a storage medium and equipment, and the method comprises the steps: obtaining the geographic space data and social economic data of a research region, obtaining the carbon emission data and / or carbon absorption data of each land utilization type according to the geographic space data and social economic data, and carrying out the downscaling; the method comprises the following steps: obtaining grid-scale carbon emission data and / or carbon absorption data, obtaining spatial distribution characteristics of carbon absorption and carbon emission of a research area through spatial analysis, and calculating the carbon emission data and / or carbon absorption data according to the spatial distribution characteristics, interest point data and grid-scale carbon emission data and / or carbon absorption data. Acquiring carbon emission data, carbon absorption data and interest point data of each carbon compensation unit; the carbon compensation fund of each carbon compensation unit is obtained based on the carbon emission data and the carbon absorption data of each interest point of each carbon compensation unit, so that the problem of rough precision of previous carbon compensation estimation can be solved, and the carbon compensation fund calculation is more accurate.

Embodiments of the present disclosure provide a hydrogen energy storage based integrated energy system scheduling method and device, wherein the method comprises: establishing a multi-energy coupling model, wherein the multi-energy coupling model comprises a multi-energy device model and a carbon offset model; establishing an objective function and a constraint condition; based on the objective function, the constraint condition, a preset hydrogen energy scheduling and a preset carbon quota rolling allocation strategy, solving the multi-energy coupling model to obtain a scheduling result; based on a preset decision rule, correcting the scheduling result to obtain an optimal scheduling result.

The invention discloses an intelligent park energy planning method for agricultural and pastoral zero-carbon transformation, relates to the technical field of energy planning, and is used for solving the problem that the controllability of agricultural and pastoral park energy planning is reduced. The photovoltaic electric quantity data and the soil carbon sequestration saturation data of a to-be-measured agricultural and pastoral production area are integrated to obtain negative carbon compensation characteristics, electric power information of energy consumption metering equipment is obtained, positive carbon emission characteristics are constructed, a carbon notch coefficient is calculated by performing specific value analysis on the positive carbon emission characteristics and the negative carbon supply characteristics, and the power consumption of the to-be-measured agricultural and pastoral production area is calculated. According to the method, the carbon compensation state of the to-be-detected agricultural and pastoral production area is judged, external energy supply configuration is restrained and evaluated according to the carbon notch coefficient, an unenforceable energy transformation scheme depending on external energy supply is prevented from being formed under the condition that negative carbon resources are limited, and implementation judgment of a zero-carbon transformation scheme is achieved. And the scientificity and controllability of the energy planning of the agricultural and pastoral park are improved.

Systems and methods are provided for identifying travel options, for users, consistent with corporate policies. One example computer-implemented method includes receiving, from a user, a travel request for travel from an origin to a destination and retrieving additional input data including environmental, social and / or governance (ESG) goals of a first entity, with which the user is associated, and a carbon offset program of the first entity. The method also includes applying a generative artificial intelligence (AI) model to the travel request, the ESG goals of the first entity and the data representative of the carbon offset program, to generate an output travel recommendation that includes a travel itinerary and a carbon offset purchase option. The method then includes presenting the travel recommendation to the user and purchasing the carbon offset option from the recommendation, from a participant, in response to acceptance of the travel recommendation by the user.

A method of providing a carbon offset to travel taken by a traveller (101) for an organisation (102) and maintaining an audit log of such carbon offsets. Booking the travel via a travel booking service (103), allocating a unique code. Searching the travel booking database (201) after the completion date of at least one facet of the travel, cumulating the carbon offset payment figures for those facets identified as having completed and not yet subject to a carbon offset request. Completed segments can be detected by geo-location or by searching the travel booking database 24 hours after the expected completion date. Presenting a carbon offset request for those completed facets. Receiving at the booking provider from the carbon offset provider (111) confirmation of the acceptance of the request identified by the unique code. Completing the transaction. Storing each transaction in an audit log. Closing the travel as completed after the expiration date of the travel and the cumulation of all confirmations of carbon offset payment figures for all facets of the trip.

The invention discloses a house building green construction flying dust intelligent monitoring and dust falling integrated method. The method comprises the steps that dust suppression equipment operation data, environment monitoring data and construction activity data are acquired; the method comprises the following steps: calling historical reference concentration based on a construction stage, calculating raise dust concentration reduction amount, further calculating environmental carbon compensation amount generated by dust suppression in combination with an emission factor model, and calculating operation carbon cost according to equipment power consumption and water consumption; obtaining a net carbon emission reduction amount by solving a difference value between the environmental carbon compensation amount and the carbon cost, and dynamically generating a control instruction for adjusting the operation parameters of the dust suppression equipment according to the net carbon emission reduction amount; by introducing the clean carbon emission reduction amount as a core control parameter, the flying dust treatment benefit and the carbon emission cost are quantified and balanced in a unified manner, the problems that dust suppression equipment runs extensively and the clean environment benefit cannot be evaluated in the prior art are solved, the dust suppression effect is ensured, the carbon emission is reduced to the maximum extent, and the environmental pollution is reduced. And refined and intelligent management of green construction is promoted.

A method and system for reducing carbon footprint. The process includes the step of receiving a plurality of carbon offset products available for purchase, maintaining an inventory of the plurality of carbon offset products. The process further include the step of displaying the plurality of carbon offset products along with a respective carbon credit value to a user on a mobile device, receiving a request for purchase from the user, verifying the selected at least one carbon offset product provenance by validating the metadata mapped with the at least one carbon offset product in the blockchain ledger, confirming an order of purchase of the selected carbon offset product if the at least one carbon offset product provenance is validated. The process further includes the step of generating a digital certificate based on the confirmed order, the digital certificate comprising the carbon credit value associated with the purchased carbon offset product.

Systems and methods are provided for identifying travel options, for users, consistent with corporate policies. One example computer-implemented method includes receiving, from a user, a travel request for travel from an origin to a destination and retrieving additional input data including environmental, social and / or governance (ESG) goals of a first entity, with which the user is associated, and a carbon offset program of the first entity. The method also includes applying a generative artificial intelligence (Al) model to the travel request, the ESG goals of the first entity and the data representative of the carbon offset program, to generate an output travel recommendation that includes a travel itinerary and a carbon offset purchase option. The method then includes presenting the travel recommendation to the user and purchasing the carbon offset option from the recommendation, from a participant, in response to acceptance of the travel recommendation by the user.

This information processing method is executed by at least one system among an environmental value management system (10), a footprint management system (20), and a carbon offset system (30). The information processing method includes acquiring information relating to a CFP of a provided object or service, determining an environmental value necessary for offsetting a prescribed carbon amount among carbon amounts indicated in the CFP, and nullifying the determined environmental value among the environmental values managed by the environmental value management system to perform a carbon offset process.

The application discloses an electric-carbon coordinated carbon allocation scheme generation method, relates to the technical field of electric-carbon coordinated carbon allocation, and comprises the following steps: acquiring power grid data, building an LSTM network prediction model, analyzing the power grid data, and obtaining power grid prediction data; obtaining carbon offset prediction data according to the power grid prediction data; obtaining hierarchical indexes according to the carbon offset prediction data, analyzing the hierarchical indexes, generating a processing scheme according to a processing scheme library; allocating a carbon allocation task, adjusting a power generation structure, and generating a final power generation method. The electric-carbon coordinated carbon allocation scheme generation method can realize the following effects: the power data can be predicted, the power grid structure can be adjusted in advance, the carbon allocation of electric-carbon coordination can be allocated in advance, the power generation cost and structure can be optimized, and the LSTM prediction model can be continuously optimized and updated.

The invention discloses a multi-dimensional evaluation method, system and device for an electricity-carbon coupling system and a storage medium, and the method comprises the steps: collecting multi-source data of an electric power region, carrying out the preprocessing of the multi-source data, and constructing an electric power and external influence combined data set; the method comprises the following steps: extracting weather, day type and load combinations in each time period in a power and external influence joint data set, and clustering combinations with consistent load change directions, marking a lifting interval and frequency, screening typical modes, and forming a load trend segmentation identification set; acquiring multi-energy output data, matching the multi-energy output data with a load change direction, identifying an abnormal time period based on energy proportion fluctuation, and classifying according to dominant energy to generate an energy dominant type power-carbon offset interval set; and matching the load rising and falling interval in the load trend segmentation identification set with a dominant path in the energy-dominant electrical-carbon offset interval set, optimizing path parameters and generating an electrical-carbon coupling transfer structure table. The energy use efficiency and the carbon emission control precision can be improved.

Disclosed are methods, systems, and apparatus for remote reprogramming of an automotive controller and determining and reporting vehicle carbon emissions using a local device, a client device, a technician device and a system server. The local device is connected to the automotive controller and is wirelessly connected to the client device. The client device is connected to the technician device through a system server. Programming configurations, including firmware, settings, and parameter updates, are selected from a technician device, sent to the system server, and uploaded to local device using J2534 communication protocol. The client device receives the fuel consumption data from the local device and sends the data to the system server. The system server determines the carbon emissions based on the fuel consumption and reports the emissions to a third-party to certify carbon offset.