32 results about "Techno economic" patented technology

The invention relates to a multi-angle comprehensive evaluation system and method for a domestic sewage treatment process, and the system comprises a technical evaluation module, an economic evaluation module, an environment evaluation module, a comprehensive evaluation module and an analysis module, and constructs a technical efficiency evaluation index TEA according to an effluent stability index and the stability of technical operation; taking the weighted sum of the macroscopic cost evaluation index, the cost evaluation indexes of different types and the cost evaluation indexes of different stages as an economic evaluation index EA; the comprehensive environmental evaluation index CEA is equal to CEAS + CEAG-delta CEAW; the results of the technical evaluation module, the economic evaluation module and the environment evaluation module are obtained, and a weighted summation result is used as a comprehensive evaluation result CE; relative advantages and disadvantages of the domestic sewage treatment process are integrally evaluated through CE, and technical, economic or environmental improvement measures can be taken according to relative sizes of output results of the technical evaluation module, the economic evaluation module and the environmental evaluation module. According to the method, the actual operation state of the technology can be presented more accurately, and the evaluation accuracy is improved.

The invention discloses a land-sea integrated full-process CO2 geological utilization and storage project technical economic evaluation method and tool. The method comprises the following steps: S1, evaluating and delimiting a full-process CO2 geological utilization and storage range; step S2, an evaluation process; s3, selecting a full-process CCUS technical scheme; and S4, carrying out full-process CCUS technical economic evaluation. The invention relates to the technical field of environmental science and engineering. According to the land-sea integrated full-process CO2 geological utilization and storage project technical economic evaluation method and tool, the problem of how to obtain information such as a technical scheme, cost budget, project layout and planning of a full-process CO2 geological utilization and storage project suitable for an enterprise or a technical and economic environment under the condition of lacking CO2 storage project experience and data is solved; and the feasibility of project development is provided.

The invention relates to an efficient refrigerating machine room system performance verification and optimization method, which comprises the following steps of: firstly, carrying out annual dynamic load calculation on a building, and establishing load characteristic data; determining a design performance index according to the load characteristic data; verifying the energy efficiency of the design scheme, and calculating the energy consumption and the energy efficiency of the cold source system; then system optimization and design scheme evaluation are carried out, and the optimal scheme of the cold source system is determined through technical economy analysis; and finally, storing feasibility schemes and optimal schemes obtained after iterative calculation of all different optimization measures and data thereof to form a callable database. According to the method, the annual energy efficiency ratio design target value of the efficient machine room cold source system is determined according to factors such as building functions, load characteristics and project positioning, then through target decomposition, cold source equipment model selection and verification of each sub-item index, under the principle that the whole life cycle cost is the lowest, through comparison and selection of different combination schemes, the energy efficiency ratio design target value of the efficient machine room cold source system is obtained. And selecting an optimal design scheme.

The invention provides a technical and economic risk assessment evidence-based report generation method based on open source intelligence, and relates to the technical field of risk assessment, and the method comprises the steps: carrying out the dynamic collection and preprocessing of multi-source intelligence, and outputting a data set; customizing a technical economic risk assessment framework to obtain a report framework; performing field focusing and technical point value evaluation based on the data set; performing data association organization on the technical point list; performing structured information extraction and evidence-based generation on the technical point data set to obtain an event list; filling to a report framework, and outputting a standardized report. The technical problem that technical risk assessment evidence-based requirements cannot be matched due to the fact that multi-source open-source information is difficult to integrate and a report template is rigid in the prior art, and accordingly the professionality and efficiency of report generation are affected can be solved, and the technical risk field open-source information automatic convergence is achieved, so that the technical risk assessment efficiency is improved. The technical risk assessment report is automated, and the generation efficiency of the technical risk assessment report is improved.

This invention provides a power engineering techno-economic analysis system based on big data and large models. The system includes a data acquisition and integration terminal, a model analysis and prediction terminal, a decision support terminal, and a user interaction terminal. The data acquisition and integration terminal is used to collect various types of data related to power engineering. The model analysis and prediction terminal is used to model and predict the techno-economic characteristics of power engineering projects using various models. The decision support terminal is used to generate intelligent decision suggestions based on the analysis results of the model analysis and prediction terminal. The user interaction terminal is used to facilitate interaction between the user and the system. This invention, through the combination of big data and large models, achieves accurate modeling and intelligent decision support for the techno-economic characteristics of power engineering projects, improving the efficiency and accuracy of management and decision-making.

The invention belongs to the technical field of environmental protection, and particularly relates to a multi-pollutant collaborative and green low-carbon evaluation method and system.The method comprises the following steps that a five-dimension industrial flue gas treatment technology comprehensive evaluation index system is established, the five dimensions of the index system comprise a multi-pollutant collaborative treatment dimension, a pollutant and carbon collaborative dimension, a technical dimension, an economic dimension and an operation management dimension; multi-source data of a target flue gas treatment technology is collected, data cleaning is carried out, and the multi-source data comprises operation data, economic data, management data and industry reference data of a target flue gas treatment facility. According to the method, the defect that an existing evaluation system is single in dimension is overcome, unified quantitative evaluation on the environmental benefits, the low-carbon attributes and the technical economy of the flue gas treatment facilities is achieved, and a scientific decision tool is provided for technical model selection, optimized operation and industry supervision.

The invention provides an electric power engineering technology economic analysis system based on big data and a big model. The system comprises a data acquisition integration end, a model analysis prediction end, a decision support end and a user interaction end. The data acquisition integrated end is used for acquiring various data related to the electric power engineering; the model analysis and prediction end is used for modeling, predicting and analyzing technical and economic characteristics of an electric power engineering project through various models; the decision support end is used for generating an intelligent decision suggestion according to an analysis result of the model analysis prediction end; the user interaction end is used for completing interaction between a user and the system; through combination of big data and a big model, accurate modeling and intelligent decision support of technical and economic characteristics of an electric power engineering project are realized, and efficiency and precision of management and decision are improved.

The application provides a scientific and technological achievement technical economic value evaluation system and method, the system comprises: a multi-source data fusion module for fusing scientific and technological achievement basic information, automatically captured external data, historical evaluation data, industry benchmark data, and performing data processing to establish a standardized scientific and technological achievement economic evaluation database; an index management module storing technical-economical-transformation three-dimensional layered evaluation index system data; an intelligent quantitative evaluation module for quantitatively assigning values to each index and calculating a comprehensive score; predicting economic value; determining an economic value grade according to the comprehensive score; a dynamic tracking iteration module for updating the evaluation result; a result output and decision guidance module for generating a scientific and technological achievement technical economic value evaluation report and a decision guidance scheme based on the evaluation result and visually displaying; a permission management and security module for controlling the management end, the expert end, the management end and the decision end in different permissions.

The invention provides a jacket structure autonomous modeling optimization method based on a divide-and-conquer method and a gradient descent method. The method comprises the following three aspects: 1, optimization design of a geometric topological structure; in combination with geometric ending conditions, a divide-and-conquer method is adopted, a divide-and-conquer program is called through recursion to optimize the geometric topological structure, the minimum design layer number of the jacket is introduced, and the optimization calculation amount is simplified. And 2, designing a model evaluation equation. Discretization classification is carried out on the target value range, a model equivalent technical economic value is established, and the established jacket model is evaluated in combination with the equivalent technical economic value and the number of critical damaged components. And thirdly, structural size autonomous iteration optimization design is carried out. In combination with a structure moderate redundancy design concept, targeted optimization strategies are adopted for different types of structures, and relative convergence of an iteration result is realized by using a gradient descent method.

The invention relates to the technical field of power equipment operation management, and particularly discloses a power equipment optimal operation life decision-making method based on technical economy, which can greatly reduce the cost income accounting deviation through dynamic fusion, improve the accuracy of economy evaluation in life decision-making, and improve the power equipment optimal operation life decision-making efficiency. A real-time linkage mechanism solves the problem of insufficient dynamic matching of the whole-cycle cost income, adapts to the change rule of the safety state and the economic performance of the power equipment in the whole life cycle through two-dimensional linkage of the health value and the cost income, dynamic weight calibration and a decision-making mechanism, avoids insufficient safety or economic waste caused by single-dimensional decision-making, and improves the safety of the power equipment. And meanwhile, safety and economic balance of the equipment in different operation stages is ensured, and stable and accurate optimal operation life decision is kept in the whole life cycle of the equipment.

The invention relates to the technical field of technical economy evaluation, and discloses a CCUS technology economy evaluation method, which comprises the following steps: constructing an economy basic evaluation model and a technology learning curve model; various economic parameters during the operation period of the CO2 capture process, the operation period of the CO2 hydrogenation methanol preparation process and the operation period of the CO2 oil displacement storage process are obtained, and the profitability of the CO2 hydrogenation methanol preparation process and the CO2 oil displacement storage process is evaluated based on an economic basic evaluation model; the economic benefits of the CO2 hydrogenation methanol preparation process and the CO2 oil displacement sealing process are determined by comparing the profitability of the CO2 hydrogenation methanol preparation process and the profitability of the CO2 oil displacement sealing process; and on the basis of the technical learning curve model, respectively predicting the future cost change conditions of the CO2 hydrogenation methanol preparation process and the CO2 oil displacement storage process. According to the method, technical economy comparison among different CO2 utilization approaches is combined, and a method for multi-scene analysis and comparison and prediction of future development trend is provided for economic evaluation of CCUS technical routes.

The invention relates to a pollution and carbon reduction and technical economy multi-target analysis method and system in the lithium metallurgy industry, and belongs to the technical field of environment and economy collaborative evaluation in the lithium metallurgy industry. According to the technical scheme, a pollutant and greenhouse gas life cycle accounting model covering a basic production system, an auxiliary production system, an auxiliary production system and a power generation system is constructed, and the emission amount is calculated by adopting an emission factor method and a classification actual measurement method. Meanwhile, a technical economic analysis model is constructed to calculate marginal emission reduction cost of emission reduction measures and form a marginal emission reduction cost curve, then collaborative emission reduction economic indexes brought into a greenhouse gas emission transaction plan and an environment tax mechanism are calculated, and multi-target performance collaborative evaluation is achieved in combination with regulatory factors. And finally, constructing a comprehensive evaluation framework by adopting a modular architecture. The technology can solve the problems of lagging of traditional evaluation data, narrow accounting range and lack of collaborative evaluation, improves the evaluation accuracy and universality, and provides support for pollution and carbon reduction and related decisions in the lithium metallurgy industry.

The invention relates to a net zero-carbon sewage treatment plant whole-process planning analysis and optimization method and a net zero-carbon sewage treatment plant whole-process planning analysis and optimization system. The method comprises the following steps: acquiring full life cycle boundary information of a target sewage treatment plant; acquiring basic data corresponding to the full life cycle boundary information; forming a structured data set for carbon accounting; adopting an emission factor method to respectively calculate the carbon emission in the construction stage and the carbon emission in the operation stage, and obtaining the total carbon emission in the reference year and the ratio of the carbon emission sub-items in each link; performing emission reduction potential simulation by adopting a low-carbon technical measure to obtain a simulation result; and on the basis of the simulation result, on the premise that project constraint conditions and emission reduction targets are met, multiple sets of full-process low-carbon planning schemes are generated, quantitative and qualitative comparison is carried out on the generated multiple sets of low-carbon planning schemes, and an optimal scheme is output. The problem that zero-carbon target implementation and technical economy evaluation are insufficient in the current zero-carbon or green low-carbon benchmarking factory planning process is solved.

The invention relates to the field of chemical detection and machine learning, and discloses a steel slag carbon sequestration potential and economic benefit evaluation system based on machine learning, which comprises a multi-dimensional characteristic data construction subsystem, a carbon sequestration capability prediction model construction subsystem, an energy consumption and carbon sequestration double-target game optimization subsystem and an economic feasibility evaluation subsystem. The multi-dimensional feature data construction subsystem is used for generating standardized feature data containing chemical, physical and technological parameters; the carbon sequestration capability prediction model construction subsystem establishes a carbon sequestration quantity nonlinear mapping relation by using a machine learning model; the energy consumption and carbon sequestration dual-objective game optimization subsystem outputs a Pareto optimal solution set considering the maximum carbon sequestration amount and the minimum energy consumption cost; and the economic feasibility evaluation subsystem is combined with a carbon transaction price parameter to execute cost income verification on the optimal solution set and screen a recommendation scheme with the maximum net income, so that rapid prediction and technical economic collaborative optimization are realized, and decision support is provided for the steel slag carbon sequestration project.

The invention relates to a pollution and carbon reduction and technical economy multi-target analysis method and system, belongs to the field of industrial environment and economy collaborative evaluation, and is suitable for high-pollution and high-carbon emission industries such as thermal power, cement and steel. According to the scheme, three industrial production systems and whole-process emission category accounting are covered, a hybrid model is adopted to calculate emission, an equivalent value, a collaborative emission reduction degree and marginal emission reduction cost, and a high-dimensional data output technology priority is processed through a random forest, a support vector machine and LASSO linear regression. The problems of incomplete accounting, low precision, difficult high-dimensional processing and the like in the prior art are solved, quantitative reference is provided for technology screening and policy making, and pollution reduction, carbon reduction and economic collaborative development are promoted.

The invention discloses a power transmission and transformation project cost technical and economic index analysis method, relates to the technical field of electric power project technical and economic analysis, and aims to solve the problem that a conventional economic index analysis method is inconvenient to dynamically adjust according to project progress and market change. The method comprises the following steps of: S1, collecting and processing data; s1.1, data source integration; a database, Internet of Things equipment and cloud service are integrated, and comprehensive, automatic and real-time collection of related data of the power transmission and transformation project is achieved; s1.2, data processing is carried out; data cleaning, verification and standardization processing technologies are adopted, the accuracy and reliability of data are ensured, five-calculation data are formed in the modes of estimation, budget, budget, settlement and final settlement, and corresponding processing flows are established respectively; the method has the advantages that real-time adjustment and optimization are carried out according to engineering progress and market changes, and the timeliness and applicability of an evaluation result are ensured.

The invention discloses a universal modeling and comprehensive evaluation method for representing economic characteristics of a multi-element energy storage technology, relates to the technical field of economic modeling of a new energy and electric power system, and aims to solve the problem that different energy storage technology economic models are split and are difficult to uniformly compare and optimize in the existing research. According to the method, electrochemical energy storage, pumped storage, compressed air energy storage and gravity energy storage are taken as representatives, a unified framework of an energy storage technical characteristic model and an economic characteristic model is established by summarizing and extracting common technical characteristics and economic indexes, and transverse comparability among different energy storage types is realized by constructing and calculating leveling cost-per-kilowatt-hour cost indexes. On the basis of a universal model, a multi-scene fitness comprehensive evaluation index is further provided, the problems that an existing energy storage model is split and the evaluation dimension is single are solved, technical and economic characterization and multi-scene comprehensive optimization of the multi-element energy storage technology under a unified framework are achieved, and a scientific basis is provided for power system planning and investment decision making.

This application provides a method and system for extracting technical and economic risk events based on monitored entities, belonging to the field of entity extraction technology. The method includes: performing entity recognition on multi-source scientific and technological texts, comparing and filtering technical and economic monitoring entities, and outputting a candidate monitoring entity list; extracting semantic segments using the candidate monitoring entity list as anchors, and determining event types based on trigger word matching rules; performing dependency parsing and semantic role labeling on the trigger word set, constructing a standardized event structure, extracting semantic relationships, and outputting a risk event candidate structure set; identifying chapter-level main events, aggregating paragraph-level related events to form a master-slave event structure; assembling event chains based on the master-slave event structure, and performing standardized output. This application can solve the technical problem of poor reliability in the extraction of economic risk events in the prior art, achieving the technical effect of improving the reliability of extraction.

The invention provides a carbon footprint accounting method and device based on a block chain technology, and the method comprises the steps: collecting first carbon emission related data, and processing the first carbon emission related data according to a regional chain, and obtaining second carbon emission correlation; processing the second carbon emission related data according to the digital accounting model to generate visual accounting data; and transmitting the visual accounting data to an economy evaluation digital platform, and obtaining an evaluation result based on an accounting standard system. The method can improve the deficiency of a conventional technical economy evaluation model in the aspect of carbon emission factor evaluation, lays a foundation for the development of carbon reduction technology economy prediction towards the renewable energy industry direction, achieves the real-time detection, verification and dynamic transmission of carbon emission related data, develops a carbon footprint accounting edge calculation device through the block chain technology, and improves the efficiency of carbon emission evaluation. The credible authentication management of the carbon emission related data is realized, and the credible actuarial of the carbon emission of the renewable energy industry is realized.

The invention relates to a new energy station full life cycle dynamic evaluation method based on an electric power spot market. The method comprises the steps of obtaining electric power spot market information; constructing a plurality of quantification factors based on the electric power spot market information; based on the quantitative factor, performing dynamic analysis on the power generation amount and the electricity price of the new energy station in the full life cycle to obtain a power generation amount analysis result and an electricity price analysis result; and based on the generating capacity analysis result and the electricity price analysis result, carrying out full-life-cycle dynamic technical and economic evaluation on the new energy station according to a preset technical and economic evaluation process. A series of targeted factors are constructed through electric power spot market information, the factors are fused into a dynamic analysis model of electric quantity and electricity price, and accurate calculation and deep analysis are performed by using a neural network, an artificial intelligence algorithm and a related professional model. Therefore, the technical effect of carrying out dynamic technical economic evaluation on the full life cycle of the power generation project is achieved, and the electric quantity and electricity price fluctuation conditions at different stages can be accurately predicted.

The present invention discloses a method for selecting a hydraulic unit based on vibration zone limitation and technical and economic indicators, which establishes a double-layer dynamic programming unit load distribution model; establishes technical and economic evaluation indicators; and obtains an optimal unit selection scheme based on the double-layer dynamic programming unit load distribution model and the technical and economic evaluation indicators. From the perspective of the operation of the hydraulic unit, during the process of load distribution of each unit selection in the plant, by considering the vibration zone limitation and multiple technical and economic indicators, the operation safety and economy are taken into account, the long-term operation of the unit in the vibration zone is avoided, and at the same time, the load distribution results of the unit are quantified from multiple angles such as additional start-stop times and output fluctuations, providing a significant comparison between indicators and providing favorable support for the optimal unit selection scheme.

The invention discloses an energy storage dynamic economical efficiency measuring and calculating method fusing green evidence and carbon market, and belongs to the technical field of economical efficiency measuring and calculating in the energy storage field, and the method comprises the following steps: S1, determining basic parameters for measuring and calculating; s2, carrying out energy storage cost measurement and calculation; s3, carrying out energy storage income measurement and calculation; and S4, carrying out technical economy evaluation. According to the energy storage dynamic economical efficiency measuring and calculating method integrating the green evidence and the carbon market, cost reduction caused by technical progress in different years can be measured and calculated, and the dynamic cost change of an energy storage system is accurately reflected; and meanwhile, the energy storage environment and the additional market value are comprehensively quantified, and more complete economic evaluation is realized.

The invention discloses a multi-dimensional comprehensive evaluation method for a waste circuit board crude copper recovery technology based on a pyrometallurgy process, and belongs to the crossing field of environmental engineering and technical economic analysis. According to the method, collaborative optimization analysis of environmental benefits and economic benefits of the copper recovery technology of the waste circuit board is realized, and a multi-dimensional decision support method including pollution reduction and carbon reduction potential, economic recovery conditions, policy intervention basis and other factors is provided for electronic waste recycling technology path selection.

The present application relates to the technical field of building facilities, and discloses a railway bridge group pile foundation recommendation method, which comprises the following steps: determining whether to use a recommendation algorithm or a default configuration algorithm; when the recommendation algorithm is used, an algorithm library is acquired, and the recommendation algorithm and corresponding rules are acquired; pile foundation configurations recorded in a pile foundation configuration type database are filtered according to the corresponding rules of the recommendation algorithm, and a filtering result is obtained; and the effective result in the filtering result is taken as a target recommended pile foundation configuration, so as to complete the recommendation of the railway bridge pile foundation. According to the present application, the pile foundation configurations recorded in the pile foundation configuration type database are filtered according to the recommendation algorithm and the corresponding rules, and the target recommended pile foundation configuration is obtained according to the filtering result, so that the technical problem of the prior art, i.e., the need for comprehensive research and analysis before technical and economic analysis and comparison, the complicated process, the waste of resources and the consumption of a large amount of time and manpower in pile testing, and the low efficiency, is solved, and the process is simple, time and cost are saved.

The invention relates to the technical field of rural distributed new energy development and utilization, in particular to a micro-grid project technical economy evaluation method and a calculation program. A micro-grid project technical economic evaluation method comprises the following steps: S1, constructing a three-dimensional index system, and defining the definition, unit and calculation boundary of each index around the whole life cycle of a micro-grid; s2, data-driven calculation logic design is carried out, and a logic chain is based on boundary parameters, support parameters, intermediate variables and index results; s3, scene-based adaptive design is carried out, and differentiation parameter adjustment rules are designed according to different rural scenes; and S4, developing a matched calculation tool. A micro-grid project technology economic evaluation calculation program at least comprises an input module, a calculation module, an output module and a visualization module. According to the invention, a set of comprehensive, accurate and scene-based technical economic evaluation scheme with high practical operability is provided, a matched calculation tool is developed, automatic calculation of indexes and visualization of results are realized, and the practical operability is improved.

According to one aspect, there is provided a method performed by one or more computers of generating a product of a synthesis process, comprising: selecting a parent of the product; identifying at least two objectives of the product, wherein each objective of the at least two objectives is based on a techno-economic analysis of the synthesis process; and determining a variant of the product based on the techno-economic analysis of the synthesis process.

This invention provides a CCUS cluster pipeline matching model system and method based on a geological database, belonging to the field of cluster pipeline matching technology. The system includes: a pipeline generation module connected to an emission source screening module and a geological storage site screening module; the cluster pipeline generation module generates a pipeline layout from the emission source set to the geological storage site set based on the principle of the lowest cost route along the cost surface; the emission source screening module screens and optimizes emission sources to obtain target emission sources; and the geological storage site screening module screens geological storage sites. A full-process techno-economic evaluation module is used to conduct a comprehensive economic evaluation of the pipeline layout and CCUS cluster between the target geological storage site and the target emission source. This invention solves problems related to national and regional CCUS cluster costs, cluster planning, and pipeline route optimization.

The invention discloses an economic evaluation calculation method and calculation system for a multi-energy integrated project. The method comprises the following steps: constructing a unified financial model framework fused with various power supplies based on a cash flow discount principle; differential technical and economic parameters of various power supplies are received through a parameterization input module; selecting a plurality of allocation logics to dynamically allocate the investment and cost of the shared project through a shared project cost dynamic allocation module; and through a cash flow coupling calculation engine, respectively generating full-life-cycle cash flow tables of the whole project and each power supply sub-item, and automatically calculating post-tax investment internal return rates and net present value core economic indicators of the whole project and each power supply sub-item. According to the invention, efficient economic evaluation calculation of the multi-energy integrated new energy project can be realized.

The invention discloses a power distribution network technology economy evaluation method and a related device, and the method comprises the steps: obtaining corresponding technical characteristic parameters of each power supply system in n power supply systems corresponding to a target power distribution network in a preset time period, and obtaining n groups of technical characteristic parameters, determining a reference technical index corresponding to each power supply system in the n power supply systems based on the n groups of technical characteristic parameters to obtain n reference technical indexes, determining a target technical index corresponding to the target power distribution network based on the n reference technical indexes, and obtaining a corresponding net present value of the target power distribution network in a preset time period, and determining a target economic index corresponding to the net present value, and determining a technical economic index corresponding to the target power distribution network based on the target technical index and the target economic index. By adopting the embodiment of the invention, the accuracy of evaluating the technical economy of the power distribution network in the flexible interconnection scene is improved.

The application discloses a kind of high proportion new energy power grid's multiple type energy storage system collaborative configuration method, belong to electric power system planning technical field;The method is aimed at containing high proportion wind power, photovoltaic provincial power grid, first obtains power grid basic data, then based on differentiating peak shaving coefficient and extreme anti-peak shaving scene assesses new energy consumption gap, then combined with geography and industry condition selects pumped storage, electrochemical energy storage and hydrogen energy storage etc. Technology, and adopts net present value method to carry out full life cycle economic analysis, finally constructs the optimization configuration model with system year comprehensive cost minimization as target, obtains the optimal site and capacity scheme of energy storage.Syste includes corresponding function module.The application realizes the scientific collaborative configuration of multiple type energy storage by quantitative evaluation, technical and economic screening and global optimization, can effectively improve the new energy consumption capacity of power grid, and ensure that the economy of scheme is optimal.