58 results about "Carbon offset" patented technology

The invention relates to the technical field of cloud computing and data center energy efficiency optimization, and discloses a carbon neutralization-oriented cloud data center energy efficiency optimization method, which comprises the following steps of: 1, acquiring server computing load, power consumption, cooling state and carbon emission data of a data center based on a distributed sensor network; step 2, constructing an energy efficiency mathematical model of the data center based on a deep learning model of AI training; 3, training a task scheduling and cooling system optimization strategy based on a reinforcement learning agent; 4, analyzing the real-time carbon emission condition of the data center by using an AI prediction algorithm; 5, based on the carbon emission trend predicted by AI, triggering an intelligent carbon compensation strategy in combination with the real-time energy consumption condition of the data center; and step 6, dynamically adjusting task scheduling, a cooling control strategy and a carbon compensation scheme by adopting an AI adaptive learning method based on data feedback. And dynamic scheduling of calculation tasks of the data center is realized through a reinforcement learning agent trained by AI.

The invention discloses an LCA-based fabricated building carbon neutralization analysis management system, and particularly relates to the field of analysis management, and the system comprises a data collection module, a life cycle analysis module, a carbon emission calculation module, a carbon neutralization strategy generation module, a visual display module, and a user feedback and optimization module. According to the invention, through integration of an Internet of Things sensor, a BIM model and a block chain technology, full life cycle links are automatically collected; the system quantifies the environmental influence of each stage by using a dynamic LCA model, calculates the carbon emission in real time, and generates a carbon neutralization strategy based on a multi-objective optimization algorithm, including renewable energy application and carbon compensation measures; through a visual tool and dynamic simulation, the system visually displays an analysis result and a strategy effect, and supports user interaction and parameter adjustment; a user feedback mechanism is combined with a reinforcement learning algorithm, system parameters and strategies are dynamically optimized, a'feedback-optimization-re-feedback 'closed loop is formed, and analysis precision and strategy feasibility are improved.

The invention discloses a multi-park power-carbon cooperative scheduling strategy considering power generation side life cycle carbon emission. The method comprises the following steps: acquiring related data information in a multi-industrial park system, and constructing a life cycle carbon emission accounting model of a thermal power generation system and a photovoltaic power generation system; a carbon compensation mechanism is provided, the carbon emission reduction characteristic of the photovoltaic power generation system is used for counteracting the life cycle carbon emission of the photovoltaic power generation system in the production, construction and decommissioning stages, and the interior of the life cycle carbon emission responsibility of the photovoltaic power generation system is promoted; an upper-layer model is mainly combined with a carbon compensation mechanism to solve a scheduling strategy of a power distribution network and calculate node carbon intensity, and a lower-layer model is used for calculating node carbon intensity on the basis of dynamic carbon emission factors calculated by the upper-layer model. And performing low-carbon economic dispatching by taking the lowest operating cost and carbon trading cost of the park as a target, solving an optimal production and power-carbon trading strategy of the industrial park through double-layer model iteration, and processing an oscillation phenomenon by adopting a heuristic method based on a bisection method.

The invention provides a port carbon emission reduction optimization method and system, and the method comprises the steps: firstly obtaining a carbon emission reduction management parameter; under a plurality of constraint conditions established by taking old port equipment emission reduction transformation and elimination limitation, incremental port equipment type selection and scale limitation, carbon counteracting project purchase and counteracting carbon quantity limitation, carbon peak reaching and carbon neutralization limitation and energy and carbon emission limitation as constraints, a plurality of constraint conditions are established; according to the cost of an emission reduction and transformation technology, a first decision variable, a subsidy eliminated by each piece of port equipment in the year, a second decision variable, the number of fuel used in the year, the fuel price in the year, the number of types of newly-input port equipment in the year, the cost of the newly-input port equipment and the number of direct carbon counteracting items purchased in the year, the number of direct carbon counteracting items is calculated. And constructing a port comprehensive carbon emission reduction optimization model according to the number of indirect carbon offset items purchased per year, the number of carbon quotas purchased per year and the price of the carbon quotas per year, and calculating an optimal solution by adopting a solver, thereby obtaining an optimal comprehensive carbon emission reduction scheme to realize optimization of port carbon emission reduction.

The invention relates to the technical field of building energy conservation and carbon emission, in particular to a building full-life-period carbon emission calculation method based on running carbon and implicit carbon, and the method specifically comprises the following steps: building carbon emission calculation models of a reference building and a design building; the whole life period of the building is divided into running carbon and implicit carbon; constructing a three-level index system, namely a total amount index, a strength index and a relative index; respectively calculating the emissions of operating carbon and implicit carbon of the two carbon emission calculation models; respectively carrying out carbon reduction calculation on the two carbon emission calculation models; calculating a total carbon emission amount index and an intensity index of the two carbon emission models, and further calculating a relative index; and judging whether the carbon emission of the designed building reaches the standard or not according to the third-level index result, and if not, readjusting. According to the method, a building full-life-period carbon emission calculation model containing running carbon and implicit carbon is constructed, the calculation precision is improved in combination with a three-level index system, and design optimization of zero-carbon buildings and green buildings can be assisted.

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 invention discloses a cement enterprise carbon management system and method, and particularly relates to the technical field of cement carbon management, and the system comprises an intelligent carbon closed-loop management module which is used for achieving the whole-process monitoring, management and closed-loop control of enterprise carbon emission through the advanced data tracking and optimization technology. According to the invention, end-to-end carbon footprint tracing is carried out by using the block chain and the Internet of Things equipment, production parameters are dynamically adjusted through real-time data acquisition and an AI algorithm, dynamic balance of carbon emission is maintained, meanwhile, a digital twinborn model and multi-dimensional carbon accounting analysis help an enterprise to accurately make a carbon treatment decision, and the carbon treatment efficiency is improved. The intelligent carbon compensation module ensures the realization of a zero carbon emission target, the leading edge low-carbon technology integration module promotes green transformation of a production process through carbon capture conversion, green material research and development and renewable energy source integration, and the intelligent operation optimization module promotes the green transformation of the production process through optimization of production scheduling, predictive maintenance and supply chain carbon management. And the energy consumption and the carbon emission are obviously reduced.

The invention provides a multi-agent master-slave game integrated energy system optimization scheduling method and system. The method comprises the following steps: constructing an integrated energy system model; based on the comprehensive energy system model, establishing a decision model of each main body in the system; and based on the decision model of each main body, establishing a multi-main-body master-slave game model, solving the multi-main-body master-slave game model, and optimizing integrated energy system scheduling. According to the invention, a multi-agent game model taking an integrated energy system operator as a dominant and an energy producer, an energy storage service provider and a load aggregator as followers is constructed, so that the utilization rate of energy is improved; according to the method, the carbon emission of each subject is considered, an IDR strategy based on price and carbon compensation dual excitation is introduced, a dual search optimization algorithm fusing and improving beetles of longhorn beetles and sine and cosine is combined with a Cplex solver to solve the established model, and the carbon emission of the system is remarkably reduced while the cost of each subject is minimized.

Systems and methods are provided for embedding information regarding carbon emissions, carbon offsets, and carbon offset credits into a digital certificate, such as an X.509 certificate. According to one implementation, a method includes a step of computing an environmental account balance for an organization, where the environmental account balance is defined as a difference between offset credits and environmental deficits. For example, the offset credits represent countermeasures by the organization to offset negative effects of emissions of environmentally harmful gases. The environmental deficits represent emissions of environmentally harmful gases for which the organization is liable. Furthermore, the method includes a step of creating a digital certificate for the organization reflecting information pertaining to the environmental account balance.

The invention discloses a carbon emission dynamic accounting method and system. The method comprises the following steps: collecting production equipment direct emission, logistics carbon emission, social media / satellite remote sensing and other abnormal event data; extracting unit yield carbon intensity and supply chain path sensitivity through principal component analysis; constructing a QUBO model and solving an optimal transportation path by using quantum annealing; training a prediction model in combination with the sudden emission risk index to output a carbon emission value; dynamically updating an emission factor library according to the cleanliness of the power grid, and accelerating generation of a confidence interval by adopting a quantum random number generator; and when the predicted value exceeds the threshold value and the lower limit of the confidence interval is higher than the threshold value, triggering carbon capture, carbon credit purchase or production regulation compensation according to the priority. The system correspondingly comprises a multi-mode acquisition module, a calculation optimization module, a dynamic accounting module and a carbon compensation module. Full-chain real-time carbon tracking and intelligent compensation are achieved, the problems of traditional accounting data isolation and compensation lag are solved, and the industrial carbon management accuracy is improved.

The invention discloses a regional food production stage carbon emission factor automatic accounting method, and relates to the field of food system greenhouse gas emission, and the method comprises the steps: constructing an accounting framework of regional food production functional unit carbon emission factors; extracting an emission coefficient and activity data from the accounting framework; based on the emission coefficient and the activity data, constructing a multi-dimensional food production stage carbon emission factor system, and accounting carbon emission factors of food production stages in different regions; carrying out weight optimization on the carbon emission factors by utilizing a particle swarm optimization algorithm; based on the dynamic change of the multi-dimensional food production stage carbon emission factor system, the carbon emission factors of different regional food production periods are summarized to form a regional food production functional unit carbon emission factor automatic accounting system. According to the method, the carbon emission factors of the regional food production stage are automatically calculated based on the input data of the regional production stage, and the method can serve agricultural production carbon management and control of different regions and construction of an inter-region carbon compensation system.

The invention discloses a new energy consumption collaborative optimization method and system based on a system new energy utilization rate. The method comprises the steps that the system new energy utilization rate is calculated according to a single equipment basic attenuation index, temperature efficiency, humidity corrosion efficiency and maintenance efficiency recovery amount; according to a real-time correlation mechanism of the carbon counteracting intensity and new energy output, new energy constraints are constructed, and the new energy constraints comprise a carbon emission intensity constraint and a multi-time scale coupling constraint; and under the carbon emission intensity constraint and the multi-time scale coupling constraint, establishing a collaborative optimization objective function according to the system new energy utilization rate, and solving the multi-objective collaborative optimization objective function to obtain a new energy consumption collaborative scheduling scheme. The new energy utilization rate of the system is effectively improved, the carbon emission intensity is reduced, internal optimization is carried out on a high-proportion new energy power system, and a scheduling strategy is determined.

The invention, which relates to the technical field of the carbon allocation of the power-carbon cooperation, discloses a method for generating a carbon allocation scheme of the power-carbon cooperation, and the method comprises the steps: obtaining power grid data, building an LSTM network prediction model, analyzing the power grid data, and obtaining power grid prediction data; according to the power grid prediction data, obtaining carbon offset prediction data; obtaining grading indexes according to the carbon offset prediction data, analyzing the grading indexes, and generating a processing scheme according to a processing scheme library; according to the power-carbon cooperative carbon allocation scheme generation method, electric quantity data can be predicted, a power grid structure can be adjusted in advance, power-carbon cooperative carbon allocation can be allocated in advance, power generation cost and structure can be optimized, and an LSTM prediction model can be continuously optimized and updated.

The invention relates to a public institution carbon emission evaluation system construction method, device and medium, and belongs to the technical field of carbon emission evaluation, and the method comprises the following steps: obtaining public institution power consumption data, calculating carbon emission, collecting building related data to obtain building energy consumption, and determining energy structure, operation management and carbon offset conditions. Carbon emission, building energy consumption and the like are used as evaluation indexes to construct a system, scoring rules are made for the indexes, and scores are obtained. And analyzing the importance scores of the indexes and the public institutions to determine weights, and obtaining the score of the public institution carbon emission evaluation system by combining the index scores and the weights. According to the method, the actual carbon emission condition of the public institution can be reflected more comprehensively and accurately, and the development of energy conservation and emission reduction work is assisted.

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 provides a carbon compensation method based on cross-regional power trade transfer, and relates to the technical field of energy environments. According to the method, through constructing a power transaction carbon emission reduction responsibility accounting model, an emission reduction effort-based carbon emission reduction responsibility allocation model and a carbon compensation cost benefit analysis model, accurate allocation and fair compensation of carbon emission reduction responsibility in cross-regional power transaction are realized. Through accurate responsibility accounting, responsibility allocation considering economic and technical contributions and scientific economical efficiency verification, the defects that in the prior art, responsibility allocation is one-sided, technical investment and economic benefit allocation are difficult to reflect, and economical efficiency verification is lacked are overcome; and a scientific, fair, economical and feasible solution is provided for carbon emission reduction responsibility distribution and compensation in cross-regional power transaction.

This invention discloses a method for quantitative assessment of ecosystem services based on remote sensing data. The method includes: determining the assessment area for ecosystem service quantitative assessment and collecting remote sensing image data; preprocessing the remote sensing impact data; delineating typical sample areas according to local climate zones (LCZs) and obtaining a training dataset; training the model based on the training dataset and a random forest classification algorithm; acquiring relevant temperature data, hydrological data, and carbon storage data, and combining them with the InVEST model to output the distribution results of heat mitigation services, rainwater storage benefits, and carbon offset service contributions; fusing the above data into the preliminary local climate zone map and analyzing the changes of the fused LCZ map over time. By using this invention, a comprehensive assessment and monitoring of urban ecosystem services can be achieved. This invention can be widely applied in the field of service monitoring and assessment.

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 present invention belongs to the technical field of carbon efficiency assessment, and relates to a method for assessing the carbon efficiency of industries in a park. By analyzing the direct carbon emissions of each industry in the target park during a historical preset period from the source of carbon-containing fuel combustion, combining with the output of each industry in the target park, and carefully considering the complete carbon emission coefficient of each industry in the target park based on its upstream industrial chain, the analysis of the basic carbon efficiency index of each industry in the target park during the historical preset period is carried out. By comprehensively considering the energy-saving carbon offset value, vegetation carbon offset value and soil carbon offset value, the carbon neutralization amount of each industry in the target park during the historical preset period is accurately obtained, so as to evaluate the carbon reduction efficiency index and carbon reduction space redundancy index of each industry in the target park during the historical preset period. Integrating the basic carbon efficiency index, carbon reduction efficiency index and carbon reduction space redundancy index, the comprehensive carbon efficiency coefficient of each industry in the target park during the historical preset period is evaluated, effectively realizing the accurate carbon efficiency assessment of the industries in the power grid park.

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.

Systems and methods are provided for dynamically modeling and depicting overall emissions of the aviation industry and changes thereto when taking into account, for example, traffic growth and introduction of sustainability strategies, such as new and / or improved technologies, an increase in operational efficiency, and carbon offsets. Using the dynamic tool described herein, users can define scenarios on how to reduce emissions through the introduction of different sustainability strategies, both statically and over time, analyze the impact of those strategies on emissions, and understand the dependencies between select strategies.

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.

The invention discloses an ecological system service quantitative evaluation method based on remote sensing data. The method comprises the following steps: determining an ecological system service quantitative evaluation region and collecting remote sensing image data; preprocessing the remote sensing influence data; defining a typical sample area according to a local climate zone (LCZ), and obtaining a training data set; training based on the training data set and a random forest classification algorithm; related temperature data, hydrological data and carbon reserve data are obtained, and a thermal mitigation service distribution result, rainwater regulation and storage benefits and carbon offset service contribution are output in combination with an InVEST model; and fusing the data to the preliminary local climate zone map, and analyzing the change of the fused LCZ map along with time. According to the invention, comprehensive evaluation and monitoring of the urban ecosystem service are realized. The method can be widely applied to the field of service monitoring and evaluation.

The invention discloses a flexible chemical production system based on renewable energy and carbon cyclic preparation, and belongs to the technical field of energy and chemical industry. The method comprises the steps that S1, hydrogen with the purity larger than or equal to 99.97% is prepared through green electricity, oxygen is synchronously collected and used for biomass gasification, and synthesis gas is prepared; s2, respectively preparing aviation fuel, low-carbon olefin, oxygen-containing chemicals, aromatic chemicals, high-carbon alcohol and long-chain olefin from the synthesis gas; and S3, performing carbon cycle management, intelligently distributing unreacted synthesis gas through pipeline connection, and returning to the original step to participate in the reaction again. According to the production system, one machine produces more products, a single set of system covers six types of products such as aviation kerosene, long-chain olefin and high-carbon alcohol, a fossil carbon source is replaced by biomass carbon and captured CO2, and the international aviation carbon counteracting standard is met.

The present invention relates to an aircraft passenger baggage loaded weight information registration reward system and method and, more specifically, to an aircraft passenger baggage loaded weight information registration reward system and method enabling a baggage weight that is less than the allowed baggage weight (hereinafter, referred to as "allowed paid loaded weight") for aircraft boarding to be registered in advance (hereinafter, the baggage weight registered in advance is referred to as "registered baggage loaded weight"), reflecting in advance, in an aircraft flight plan, baggage weight information about a reduced baggage weight predicted according to the differences between a baggage weight (hereinafter, referred to as "actual baggage loaded weight") carried on an aircraft during actual boarding of the aircraft after the registered baggage loaded weight is registered, the allowed paid loaded weight and the registered baggage loaded weight, so as to convert the amount of aircraft carbon emission reduction occurring due to a fuel efficiency improvement effect according to operation of the aircraft into carbon-neutral points corresponding to carbon credits or carbon offsets, thereby allocating, to a passenger, the carbon-neutral points that can be variously utilized. The present patent is the result filed by the Gyeonggi-do and Gyeonggi-do Korea Institute of Science and Technology with the support of the 2023 Global Startup Commercialization Support Program.

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.