50 results about "Indirect emissions" patented technology

The invention relates to the technical field of carbon emission management, in particular to an expressway construction project carbon emission accounting evaluation method and system, and the method comprises the steps: dividing a system boundary into stages of an expressway construction full life cycle; carbon emission sources are divided into direct emission and indirect emission, and a source list of carbon emission in each stage and corresponding activity data are obtained; selecting carbon emission factors of various emission sources, constructing a carbon emission accounting model, and calculating the carbon emission of each stage; performing uncertainty analysis and sensitivity analysis on various emission source carbon emission factors and activity data, and optimizing a carbon emission accounting model; and performing comprehensive evaluation on each stage of highway construction to obtain an evaluation result of each stage. According to the invention, the problems of lack of full life cycle coverage and insufficient accounting precision of the existing highway construction carbon emission accounting method are effectively solved, the data accuracy and the model reliability are improved, and the carbon emission management and low-carbon construction targets are comprehensively supported.

The invention discloses a multi-source data fusion accounting method for a full-life-cycle carbon footprint, and belongs to the technical field of carbon footprint accounting, and the method specifically comprises the steps: inputting a purchase order number set of a target product, and automatically associating a logistics fuel consumption record, a production process energy consumption log and a supplier indirect emission declaration form according to the purchase order number; constructing a dynamic traceability tree taking a purchase order as a root node, and generating a trunk path through matching of an order material code and a workpiece batch number of a process energy consumption log; when the difference between the logistics real-time energy consumption data and the supplier declaration form exceeds a set threshold value, activating a dispute data branch reconstruction algorithm, and creating parallel branches to temporarily replace dispute data segments while keeping trunk continuity; finally, outputting a full-life-cycle carbon footprint data graph with dispute marks, and reserving original association paths of all data sources; according to the invention, reliable support is provided for accurately tracing the full-life-cycle carbon emission of the product and improving the carbon footprint accounting quality.

The invention discloses a construction project construction period carbon emission analysis method based on processes, and relates to the technical field of carbon emission analysis, and the method comprises the steps: defining a carbon emission calculation boundary based on the transitivity of carbon emission, so as to define direct and indirect emission ranges covered by carbon emission accounting; engineering project information of the target constructional engineering is obtained, the project information is analyzed based on the carbon emission measurement boundary, a measurement object list is constructed, and each measurement object in the list is associated with a corresponding emission category identifier; and traversing the calculation object list, matching and executing a corresponding carbon emission calculation process in a preset carbon emission calculation program set according to the emission category identifier, and outputting a carbon emission analysis result of each calculation object. Therefore, the technical effects of improving the carbon emission analysis orderliness, enhancing the accuracy of the analysis result and improving the calculation efficiency are achieved.

The invention discloses a carbon metering method and device based on measured data and a medium, and the method comprises the steps: obtaining emission data through a preset sensor network, determining the energy consumption data of an enterprise, and obtaining environment data through a preset integrated sensor; fusing the emission data, the energy consumption data and the environment data to integrate data from different sources into a preset time coordinate system, and performing spatial aggregation on the fused data according to a production unit to determine a comparison model; determining a direct emission amount according to the emission data, determining an indirect emission amount according to the energy consumption data, comparing the direct emission amount with the indirect emission amount through a comparison model to determine an emission deviation, and comparing the emission deviation with a preset deviation threshold value; and if the emission deviation is greater than a deviation threshold value, determining a deviation reason according to the equipment operation log and the environment data, determining a re-check data point according to the deviation reason, and performing re-check metering according to the re-check data point.

The invention provides a carbon emission monitoring management platform for an enterprise, and relates to the technical field of carbon emission monitoring, and the platform comprises the steps: connecting monitoring equipment to collect energy data, integrating an emission source to collect direct and indirect emission data, setting short-term and long-term low-carbon adjustment schemes according to the data and an emission target, and continuously monitoring and managing the carbon emission of the enterprise. The technical problems that in the process of enterprise scale change or business mode adjustment, carbon emission data are difficult to effectively analyze and excavate, and emission reduction strategies are lack of pertinence are solved, and the purpose that in the process of enterprise scale change or business mode adjustment, carbon emission can be effectively analyzed and excavated according to changes of the source, the type and the intensity of carbon emission is achieved. And the technical effects of optimizing emission reduction measures and assisting enterprises to realize green and sustainable development are achieved.

The invention provides a method for measuring and calculating carbon sequestration in the whole life cycle of cotton planting. The method comprises the following steps: S1, calculating the total upstream carbon emission amount of a cotton field; s2, calculating the direct emission amount of greenhouse gas in the soil of the cotton field; s3, calculating the indirect emission amount of the greenhouse gas of the cotton field soil; s4, the carbon sink amount of the cotton field soil is calculated; s5, the carbon sink amount of the cotton byproducts is calculated; s6, the carbon sink amount of the main cotton product is calculated; and S7, based on the calculation result of the above steps, obtaining the carbon sink amount or the carbon emission amount of the cotton planting full life cycle so as to evaluate the carbon sink level of the cotton planting full life cycle. According to the invention, the system boundary of carbon emission and carbon sequestration in cotton planting is systematically and completely elaborated, so that the comprehensiveness and accuracy of measurement and calculation are ensured. According to the method, carbon emission or carbon sink of a certain link is not only concerned, the full life cycle of cotton planting is comprehensively considered, emission factors of different cotton planting areas are introduced, the measurement and calculation result is accurate and reliable, and then the carbon sink level of the full life cycle of cotton planting can be accurately evaluated.

The invention relates to the technical field of carbon emission, in particular to an on-chain enterprise carbon emission accounting method and system. The method comprises the following steps: acquiring energy consumption, process flow and supply chain collaborative data of an enterprise in links of raw material acquisition, production processing, logistics transportation, equipment operation and recovery processing through Internet of Things equipment, and generating a carbon emission data set; based on a life cycle evaluation theory, boundaries of direct emission, indirect energy emission and supply chain associated emission are divided, and enterprise-level, product-level and supply chain-level carbon emission accounting models are constructed. A machine learning algorithm is utilized to analyze production fluctuation data in real time, carbon emission factor weights and accounting boundary parameters are dynamically adjusted, and an accounting result is optimized. And outputting a result to a green purchase decision-making system, a carbon asset management system and a supply chain collaboration platform. The system integrates industrial Internet of Things equipment, block chain nodes and enterprise resource planning system interfaces, collects and verifies full-link data in real time, solves the problem of data collection, and improves the accounting reliability.

The invention discloses a smart park carbon emission monitoring method and system based on multi-element emission factors, and relates to the data processing related field, and the method comprises the steps: constructing a dynamic emission factor library which comprises one or more of energy structure data, equipment operation parameters, environmental parameters, space-time dynamic elements and indirect emission elements; connecting a smart park monitoring network to obtain park monitoring data; performing matching conversion on the park monitoring data and the dynamic emission factor library, and determining carbon emission analysis data; and mapping the three-dimensional map and the carbon emission analysis data to generate a carbon emission distribution thermodynamic map. The technical problem that the monitoring result of existing park carbon emission monitoring is inaccurate is solved, and the technical effect of accurately monitoring park carbon emission is achieved.

The invention provides a product full production cycle carbon footprint tracing evaluation method and system, and relates to the technical field of carbon footprint tracing, and the method comprises the steps: obtaining production activity data of each link of a product full life cycle, constructing a directed weighted network model, and executing path traversal, extracting a traversal path of which the path carbon intensity meets a preset path carbon intensity condition as a first carbon flow path, obtaining the node net carbon emission of each node, and determining the apportionment amount of each node to the third-range indirect emission; and matching the production activity data of the link corresponding to each node with the emission parameters in the carbon emission database to obtain the link carbon emission intensity of each link, and determining the link carbon emission of each link based on the link carbon emission intensity and the node net carbon emission. According to the method and the device, a small-flow high-carbon emission intensity path can be identified, and the range three-emission accounting accuracy is improved to the level of tracing to a specific supply chain node through a double-layer mapping relation of link level microscopic accounting and node level macroscopic tracing.

The application discloses a carbon metering method and device based on measured data and a medium, comprising the following steps: obtaining emission data through a pre-set sensing network, determining energy consumption data of an enterprise, and obtaining environmental data through a pre-set integrated sensor; fusing the emission data, the energy consumption data and the environmental data to integrate data of different sources into a pre-set time coordinate system, and spatially aggregating the fused data according to production units to determine a comparison model; determining direct emission according to the emission data, and determining indirect emission according to the energy consumption data; comparing the direct emission and the indirect emission through the comparison model to determine emission deviation, comparing the emission deviation with a pre-set deviation threshold; if the emission deviation is greater than the deviation threshold, determining deviation reasons according to equipment operation logs and the environmental data, determining review data points according to the deviation reasons, and performing review metering according to the review data points.

To provide an information processing system capable of calculating emissions of investment and loan destinations by financial institutions.SOLUTION: An information processing system includes: an investment / loan amount acquisition unit for acquiring from a financial institution, an amount of investment / loans provided from the financial institution to investment / loan recipients; a total investment / loan amount acquisition unit for acquiring from the investment / loan recipients, a total amount of investment / loans received by the investment / loan recipients; an emissions acquisition unit for acquiring greenhouse gas emissions in the investment / load recipients; an attribution rate calculation unit for calculating an attribution rate of the financial institution to the investment / loan recipients by dividing the investment / loan amount by the total investment / loan amount; and an indirect emissions calculation unit for calculating indirect greenhouse gas emissions of the financial institution by multiplying the emissions by the attribution rate.SELECTED DRAWING: Figure 1

This invention discloses a multi-source data fusion accounting method for the entire life cycle carbon footprint, belonging to the field of carbon footprint accounting technology. Specifically, it includes: inputting a set of purchase order numbers for the target product; automatically associating logistics fuel consumption records, production process energy consumption logs, and supplier indirect emission declaration forms based on the purchase order numbers; constructing a dynamic traceability tree with the purchase order as the root node; generating a main path by matching the order material code with the workpiece batch number in the process energy consumption log; when the difference between the real-time logistics energy consumption data and the supplier declaration form exceeds a set threshold, activating a disputed data branch reconstruction algorithm to maintain the continuity of the main path while creating parallel branches to temporarily replace the disputed data segments; finally, outputting a full life cycle carbon footprint data map with dispute markers, retaining the original association paths of all data sources. This invention provides reliable support for accurately tracing the carbon emissions throughout the entire product life cycle and improving the quality of carbon footprint accounting.

The application provides a highway service area carbon emission calculation system and method based on double-layer model fusion, which realizes the accurate quantification of service area carbon emission by constructing a "top-down" and "bottom-up" double-layer model fusion calculation framework. The method comprises the following steps: obtaining and preprocessing multi-source energy consumption data such as electricity and gas; classifying carbon emission sources into direct emission (fossil energy) and indirect emission (secondary energy), constructing a bill of quantities and calculating carbon emission factors; based on the LMDI decomposition model and device-level energy consumption accounting, sub-models are established respectively, the calculation results are fused by weighted average strategy, and finally the total emission is obtained by including the green land carbon sink factor. The system includes data acquisition, analysis and processing, and calculation modules, which can adapt to the spatio-temporal dynamic changes of power grid carbon emission factors and provide data support for service area low-carbon management. The application has adaptability and scalability, and can effectively improve the carbon emission calculation precision.

To calculate an emission amount of a loan destination by a financial institution.SOLUTION: An information processing system according to an aspect of the present invention includes: an acquisition unit that acquires, from a financial institution, a balance of a total amount of investment and financing for an entire group to which an investment and financing recipient belongs; an acquisition unit that acquires a balance of a total amount of investment and financing received by the entire group; and an acquisition unit that acquires an amount of greenhouse gas emissions in the entire group.SELECTED DRAWING: Figure 1

The invention relates to the technical field of carbon accounting, and provides an industrial park carbon emission accounting method, system, medium and equipment, and the method comprises the steps: accounting the carbon emission of each carbon emission type based on the activity data of a carbon emission source; wherein the carbon emission category comprises net purchase electric power carbon emission, and the net purchase electric power carbon emission is considered as energy storage indirect emission of the energy storage equipment, and the calculation mode of the carbon emission factor of the energy storage equipment is as follows: obtaining energy storage charging power at each moment, and combining with a power grid carbon emission factor to calculate the carbon emission factor of the energy storage equipment; calculating to obtain the sum of indirect carbon emissions received by the energy storage equipment during charging in the accounting time period; calculating an average charging emission factor of the energy storage equipment based on the indirect carbon emission sum in combination with the energy storage charging loss rate and the energy storage charging power at each moment; and converting the average charging and discharging factor of the energy storage equipment by adopting an energy storage and discharging loss rate to obtain a carbon emission factor of energy storage indirect emission. And the carbon emission can be calculated more accurately.

The present invention discloses a smart park carbon emissions monitoring method and system based on multi-factor emission factors, relating to data processing-related fields. The method includes: constructing a dynamic emission factor library containing one or more of energy structure data, equipment operating parameters, environmental parameters, spatiotemporal dynamic factors, and indirect emission factors; connecting to a smart park monitoring network to obtain park monitoring data; matching and converting the park monitoring data with the dynamic emission factor library to determine carbon emission analysis data; and mapping a three-dimensional map with the carbon emission analysis data to generate a carbon emission distribution heat map. This method solves the technical problem of inaccurate monitoring results in existing park carbon emissions monitoring systems, achieving the technical effect of accurately monitoring park carbon emissions.

The invention belongs to the technical field of carbon accounting and carbon treatment, and particularly discloses a country net carbon emission accounting method based on a territorial spatial pattern perspective, which comprises the following steps: by taking a village domain as an accounting object, classifying carbon footprints into direct carbon footprints and indirect carbon footprints; based on the three-area three-line management and control logic, three spaces of agriculture, ecology and construction are divided, carbon emission and carbon emission reduction activities are concluded and clarified according to specific space categories, and carbon emission and carbon sink are quantified by adopting an emission factor method; in addition, the new energy power generation amount is independently calculated and converted into the corresponding potential carbon reduction amount to serve as indirect emission reduction to be included in the carbon general ledger. The invention provides a village-domain-oriented rural three-dimensional integrated carbon accounting system (RTICS), unified accounting caliber and result expression is carried out by taking land space-land utilization-carbon footprint as a principal line, carbon emission and carbon sink at a village-domain level are accurately identified and quantified, systematic comprehensive treatment of rural carbon-related elements is effectively butted, a dual-carbon target is served, and the method has a wide application prospect. And the method has cross-regional popularization and new scene reuse capabilities.

To determine indirect emissions at the downstream of a supply chain.SOLUTION: An information processing system includes: a consumption estimation unit which estimates consumption of energy used when a product is used, using a large language model; and an emission calculation unit which multiplies the consumption by an emission factor of the energy to calculate emissions of greenhouse gases emitted when the product is used.SELECTED DRAWING: Figure 1

The invention discloses a climate-benefit-driven project full-cycle carbon footprint management method and system, and relates to the technical field of carbon footprint management and carbon emission accounting, and the method comprises the steps: obtaining enterprise project full-cycle multiple processes, separately establishing direct and indirect carbon emission management units, and synthesizing the direct and indirect carbon emission management units, and constructing a dual-drive climate benefit measurement and calculation model containing double sub-models, measuring and calculating to obtain direct and indirect measurement and calculation indexes, calculating a comprehensive measurement and calculation index, and sending the comprehensive measurement and calculation index to a climate investment and financing platform for storage. The technical problems that in carbon emission transaction, a traditional carbon footprint management method cannot finely distinguish direct and indirect carbon emission units in the whole period of a project, indirect emission such as a supply chain is difficult to accurately measure and calculate, and carbon footprint data is not comprehensive and accurate are solved. The technical effects of fine quantification of the full-cycle carbon footprint of the project and accurate measurement and calculation of climate benefits are achieved, and comprehensive and accurate data support is provided for project evaluation and carbon asset pricing in carbon emission transaction.

The invention discloses a carbon emission accounting method in a domestic garbage leachate treatment stage. The method comprises the following steps: carrying out treatment method classification according to garbage treatment plant types and corresponding leachate treatment processes; aiming at each type of treatment method, an emission factor group of unit mass is constructed, and the emission factor group comprises a direct emission factor and an indirect emission factor; based on the emission factor group, the total treatment amount of the landfill leachate in the region and the treatment proportion of each type of treatment method, the total carbon emission of the region is obtained. According to the method disclosed by the invention, the problem that the accounting amount is small due to the fact that municipal sewage treatment greenhouse gas emission factors are directly utilized for percolate treatment greenhouse gas emission is solved, and meanwhile, the problem that the total amount of regional landfill leachate greenhouse gas emission cannot be accurately calculated due to large data differences among different percolate garbage treatment plants is also solved.

The invention discloses a carbon emission measuring and calculating method and system for island energy activities. The method comprises the following steps: 1, collecting energy activity whole-process data of an island through Internet of Things equipment; 2, factor modeling; 3, emission calculation: dividing the collected energy activity whole process data into carbon emission C1 of fossil fuel combustion activity, biomass fuel combustion activity emission C2 and carbon dioxide indirect emission C3 of electric power calling-in and calling-out, and calculating carbon emission Cn of energy activity; cn = C1 + C2 + C3; the calculation method of the carbon emission C1 of the fossil fuel combustion activity is as follows: C1 = C1, 1 + C1, 2 + C1, 3 + C1, 4 +... + C1, i; a calculation method of biomass fuel combustion activity emission C2 is as follows: C2 = C2, 1 + C2, 2 + C2, 3 + C2, 4 +... + C2, j; and the calculation method of the carbon dioxide indirect emission C3 of the electric power calling-in and calling-out is as follows: C3 = C3, 1 + C3, 2. According to the invention, comprehensive carbon emission calculation of island energy power generation, energy transportation, tourist activities and renewable energy substitution effect is realized.

Systems and methods for generating and implementing real-time decarbonization roadmaps for at least one industrial facility are disclosed. In one embodiment, a method comprises obtaining GHG emissions data from at least one sensor associated with the facility's equipment, storing and categorizing the emissions data according to direct and indirect (Scope 1 and Scope 2) emissions, and forecasting long-term emissions under a business-as-usual scenario. The method further involves receiving and evaluating decarbonization initiatives—such as energy efficiency measures, carbon capture and storage (CCS) projects, or emissions offsetting strategies—based on their applicability and cost-effectiveness. By generating marginal abatement cost curves (MACCs) that consider capital and operational expenses, implementation feasibility, and project timelines, the method identifies prioritized emissions reduction measures. The output includes implementation directives provided to a controlled facility emissions system, which can adjust equipment parameters, integrate renewable energy solutions, or otherwise modify operating conditions to achieve targeted GHG reductions.

This invention belongs to the field of carbon emission monitoring technology, specifically a real-time carbon emission monitoring and prediction system based on big data. It includes a data acquisition module for obtaining measured carbon emission values ​​and activity data (including direct and indirect activity data) and determining corresponding emission factors (including direct and indirect emission factors). A data processing module calculates carbon emission values ​​based on the activity data and emission factors. By comparing the measured carbon emission values ​​with the calculated values ​​based on the activity data and emission factors, an emission factor closer to the company's actual production is obtained. Based on this emission factor, a carbon emission prediction model related to the company's production activity data is established. Once the company's monthly production tasks are known, the corresponding carbon emission prediction value can be obtained, thus enabling the prediction of the company's carbon emissions. This helps the company control its annual carbon emissions and promotes carbon neutrality.

The invention discloses a power transmission and transformation project green construction technology carbon emission reduction quantification method, and belongs to the technical field of power transmission and transformation project carbon emission management. Aiming at the problem that the prior art has obvious defects in the aspect of power transmission and transformation project green construction technology carbon emission reduction quantification, the method comprises the steps of emission reduction technology identification and classification, emission reduction mechanism analysis, datum line scene setting, project quantity list acquisition and comparison, carbon emission accounting, operation emission reduction benefit calculation and total emission reduction summarization. A unified and standardized quantitative process and a differentiated calculation model are formed, direct emission reduction benefits and indirect emission can be evaluated at the same time, multi-dimensional factors such as carbon sink and waste recovery are integrated, comparability analysis of different green technologies is achieved, and the method is suitable for large-scale popularization and application. Therefore, a quantitative basis is provided for scientific model selection, investment benefit evaluation and carbon asset development of a power grid project green construction technology, the blank of the prior art in practical application is effectively filled, and the low-carbon level and green construction decision-making efficiency of a power transmission and transformation project are improved.

The present invention discloses a heating system in the field of clean heating technology that is equipped with a composite phase-change heat exchanger to recover waste heat from flue gas, which solves the technical problem of energy waste caused by direct or indirect emission of waste heat from flue gas. The heating system includes a steam drum, an ejector, a condenser, an exhaust steam reheater, and a condensate cooler. The steam drum is a special heat exchanger that can ensure that the water in the heat exchange tube bundle is maintained above 100°C, thereby ensuring that the water vapor in the flue gas will not be liquefied and corrode the pipeline, and at the same time can further increase the circulating water supply temperature and reduce the amount of steam extraction; the ejector can use a small amount of high-temperature and high-pressure steam as a primary fluid to inject the exhaust steam in the turbine into the condenser; the exhaust steam reheater is the main source of high-temperature and high-pressure steam, and can also directly use the high-temperature and high-pressure steam of other steam turbines as a backup steam source; the condensate cooler can further improve the efficiency of waste heat recovery.

The present invention discloses a real-time carbon emission estimation method for high-energy-consuming enterprises based on big data mining technology. For direct emissions in the production process, the collected load data of high-energy-consuming enterprises are input into a multi-task learning GRU neural network, the network bottom layer shares parameters, and the existing load state categories and corresponding powers are used as model training supervision quantities to perform equipment status monitoring and power decomposition. According to the carbon emission intensity of the equipment under different states, direct carbon emissions are calculated. For indirect carbon emissions, based on the collected load data of high-energy-consuming enterprises, the power consumption for each estimated time interval is calculated; the carbon emissions on the power supply side are obtained by solving the DC optimal power flow, and the marginal carbon emission factor of the grid node to which the enterprise is connected is obtained according to the unit increment method; indirect carbon emissions are calculated using the load data of high-energy-consuming enterprises and the marginal carbon emission factor. The results obtained by direct emissions and indirect emissions are added together to achieve real-time and accurate carbon emissions estimation.

The invention provides a steel carbon emission calculation method and system based on the European Union CBAM rule, and the method comprises the steps: constructing a complete carbon emission dual-channel architecture based on the European Union CBAM rule, and the complete carbon emission dual-channel architecture comprises a direct emission channel and an indirect emission channel; constructing a direct emission inverse matrix based on the direct emission channel; constructing an indirect emission inverse matrix based on the indirect emission channel; respectively constructing a direct carbon emission vector C of each production link and an indirect carbon emission vector D of each production link based on the direct carbon emission of each production link and the indirect emission of each production link; based on the direct emission inverse matrix, the direct carbon emission vector C of each production link, the indirect emission inverse matrix and the indirect carbon emission vector D of each production link, direct complete steel carbon emission and indirect complete steel carbon emission are calculated respectively; the total emissions are calculated based on the direct complete steel carbon emissions and the indirect complete steel carbon emissions.

The embodiment discloses a building carbon emission digital calculation method based on an IFC data standard, is based on BIM modeling software, is based on life cycle assessment theory, constructs a BIM model of the whole life cycle of building carbon emission, divides the life cycle of the whole building unit into four main stages: building design and transportation stage, building construction stage, operation and maintenance stage and demolition disposal stage, and obtains the carbon emission of each stage based on the carbon emission calculation model of each stage, and then realizes the comprehensive evaluation of building carbon emission in the building project management process, realizes the carbon emission accurate quantification, visual analysis and intelligent decision-making of the whole process from building transportation, construction, operation to demolition.

The invention relates to the technical field of environmental evaluation, and discloses a waste biomass low-carbon concrete carbon sequestration emission reduction benefit accounting method, which comprises the following steps: S1, determining waste biomass raw materials and pyrolysis key process technological parameters, and accounting the carbon emission in the pyrolysis treatment process; s2, according to the physicochemical properties of the waste biomass, determining the pretreatment operation of the waste biomass pyrolytic carbon, and accounting the carbon emission in the key energy consumption process of the pretreatment of the waste biomass pyrolytic carbon; s3, determining the equivalent substitution percentage of the waste biomass pyrolytic carbon in the low-carbon concrete and the carbon content percentage of the waste biomass pyrolytic carbon, and calculating the carbon reduction amount of the waste biomass low-carbon concrete for saving building materials and the carbon fixation amount of the waste biomass pyrolytic carbon; s4, determining the service life of the waste biomass low-carbon concrete under the damage effect of the use environment, and calculating the indirect emission reduction of the increase of the service life of the waste biomass low-carbon concrete; s5, checking the carbon sequestration and emission reduction benefits of the waste biomass low-carbon concrete; the scheme is accurate in accounting.

The invention discloses a tunnel construction ventilation energy consumption correction and carbon emission quantification method, relates to the technical field of carbon emission accounting and environmental influence evaluation, and solves the technical problems of insufficient carbon emission accounting precision and indirect emission neglecting equipment manufacturing and consumables caused by neglecting working condition difference and low data reliability. By introducing a multi-dimensional working condition parameter correction model and combining an account data automatic verification and abnormal data elimination mechanism, the defect that a traditional account method neglects working condition differences is avoided, the carbon emission accounting error is reduced, indirect carbon emissions such as ventilation equipment manufacturing and air pipe consumables are included in the accounting range, and the carbon emission accounting efficiency is improved. A full-life-cycle carbon emission statistical system is formed in combination with direct emission of ventilation power consumption, so that carbon emission accounting is more comprehensive, carbon emission prediction of design parameter combination is supported, a multi-dimensional comparative analysis report and a full-life-cycle carbon emission prediction curve are generated, and an optimal low-carbon design scheme is assisted to be selected in advance.