CN115759780A - Steel mill full life cycle carbon emission data monitoring system - Google Patents
Steel mill full life cycle carbon emission data monitoring system Download PDFInfo
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Abstract
The invention discloses a steel mill full life cycle carbon emission data monitoring system, which comprises a data acquisition module, a data processing module, an energy management module, a process carbon calculation module, a product carbon footprint module and an energy database; the system collects the original activity data corresponding to each process in the production process of a steel mill, can preprocess the original activity data, and calculates the carbon emission data of each process based on the activity data of each process; the carbon emission of each product in different life cycles is disclosed, and the carbon occupation ratio of the whole product process flow is shown. The original activity data, the carbon emission data calculated in the data processing module, and the data generated by the energy management module, the process carbon calculation module and the product carbon footprint module can be stored; the automatic calculation and monitoring of carbon emission data of each process in the whole life cycle of steel production are realized, and the efficiency of enterprise carbon asset management is improved.
Description
Technical Field
The invention relates to the technical field of carbon emission data management, in particular to a full-life-cycle carbon emission data monitoring system for a steel mill.
Background
Carbon emissions are a generic or abbreviated term for greenhouse gas emissions, the most predominant gas in greenhouse gases being Carbon dioxide and therefore being represented by the term Carbon (Carbon); and most scientists and governments acknowledge that greenhouse gases have passed and will continue to bring disasters to earth and humans, the terms "control of carbon emissions", "carbon neutralization" are a cultural basis that is easily understood, accepted, and acted upon by most people.
The LCA life cycle refers to the whole process from production, use to abandonment of a product (or service) from the raw material acquisition, namely the process from the cradle to the grave. Lifecycle assessment, as defined in ISO14040, is a method for assessing environmental factors and potential impacts associated with a product (or service) by compiling inventory records of inputs and outputs associated with a system, assessing potential environmental impacts associated with those inputs and outputs, and interpreting the inventory records and analysis of the environmental impacts according to the goals of the lifecycle assessment study.
The life cycle of steel production includes a pelletizing/sintering process, an iron making process, a steel rolling process, various auxiliary processes and the like. The carbon emission data generated by each production process is huge, only manual statistics is needed, time and labor are wasted, errors are prone to occurring, meanwhile, enterprises need to accelerate the establishment of product carbon footprint data accounting systems, and carbon asset management is enhanced through innovative modes such as product carbon label display.
Disclosure of Invention
In order to solve the defects in the prior art, the application provides a steel plant full-life-cycle carbon emission data monitoring system, which can realize automatic calculation and monitoring of carbon emission data of each process in the steel production full-life cycle and improve the efficiency of enterprise carbon asset management.
The technical scheme adopted by the invention is as follows:
a steel mill full life cycle carbon emission data monitoring system, comprising:
the data acquisition module acquires original activity data corresponding to each procedure in the production process of a steel mill;
the data processing module receives the acquired original activity data and preprocesses the acquired original activity data;
an energy management module that manages an energy database;
the process management module is used for customizing the corresponding relation between the process management and the energy;
a process carbon calculation module that calculates carbon emission data of each process based on the acquired activity data of each process;
the product carbon footprint module is used for disclosing the carbon emission amount of each product in different life cycles based on the carbon emission data of each process, and displaying the carbon occupation ratio in the whole product process flow;
and the energy source database stores the original activity data acquired by the data acquisition module, the carbon emission data calculated in the data processing module, and the data generated by the energy management module, the process carbon calculation module and the product carbon footprint module.
Further, the preprocessing in the data processing module comprises: data extraction, data synchronization and data cleaning.
Further, the carbon emission data is calculated using the following formula:
GHG＝AD×EF
wherein GHG is carbon emission data; AD is activity data and EF is emission factor.
Further, the working procedures in the production process of the steel mill comprise: sintering process, pelletizing process, blast furnace processing process, converter processing process, continuous casting machine processing process and rolling processing process.
Further, the extracted raw activity data includes bituminous coal consumption, anthracite coal consumption, coke consumption, dolomite consumption, limestone consumption, blast furnace gas consumption, power consumption data, soft water consumption, oxygen consumption, natural gas consumption, molten iron consumption, liquefied gas consumption, billet consumption, and water consumption.
The system further comprises a user management module and a permission management module, wherein the user management module is used for distributing user accounts, and the permission management module sets permissions of different levels according to the user accounts.
Furthermore, the system also comprises a department management module, wherein the department management module manages the user account according to the department to which the user account belongs; or data management is carried out according to the corresponding departments of the working procedures.
The invention has the beneficial effects that:
the invention takes an accounting guideline as a basis, generates a carbon emission report in the whole production process flow by monitoring the energy consumption condition in the running process of each process on line, and comprehensively evaluates the carbon emission level of each process for the carbon emission management of enterprises.
The system can avoid the problems of time and labor waste and error occurrence easily due to manual statistics, and improves the efficiency, accuracy and intelligence of enterprise carbon asset management.
Drawings
FIG. 1 is a schematic view of each process in steel production.
Fig. 2 is a functional module diagram of the system.
Fig. 3 is a block diagram of the system architecture.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The system for monitoring the carbon emission data of the steel mill in the whole life cycle is used for acquiring, processing, analyzing and storing the carbon emission data in the steel mill life cycle production link in real time, and is specifically shown in figures 1-3.
Firstly, the procedures of production in a steel mill are introduced by combining a figure 1, a sintering plant and a pelletizing plant provide raw and auxiliary materials for an iron-making blast furnace to carry out molten iron smelting, the smelted molten iron and the raw materials provided by a lime plant are provided for a converter steel mill to carry out steel making, then a continuous casting machine is provided, and a bar line plant is provided for rolling to obtain a finished product.
The application designs a steel mill life cycle carbon emission data monitoring system, includes:
1. and a data acquisition module.
The data acquisition module is in signal connection with an EPR system and the like and electric equipment and the like in each process, and is used for acquiring original activity data in each process, and more specifically, extracting data such as anthracite consumption, coke consumption, dolomite consumption, limestone consumption and the like from a sintering plant; extracting blast furnace gas consumption and power consumption data from a pelletizing plant; extracting data such as soft coal consumption, anthracite consumption, blast furnace gas consumption, soft water consumption and the like from a blast furnace processing procedure; extracting data such as power consumption, oxygen consumption, natural gas consumption, dolomite consumption and the like from a converter processing procedure; extracting data such as molten iron consumption, power consumption, natural gas consumption, liquefied gas consumption, billet consumption and the like from a machining process of a continuous casting machine; extracting data of blast furnace gas consumption, converter gas consumption and natural gas consumption from a rolling process; extracting data such as power consumption, water consumption and the like from an oxygen plant; extracting data such as power consumption, blast furnace gas consumption, blast furnace cloth bag ash consumption and the like from the auxiliary process; and extracting data such as blast furnace gas consumption, converter gas consumption and the like from the self-generating process.
2. And a data processing module.
The data processing module is in signal connection with the data acquisition module, receives the original activity data of each process acquired by the data acquisition module, and preprocesses the acquired data. The pretreatment comprises the following steps: data extraction, data synchronization and data cleaning. The method comprises the following specific steps:
the data extraction is to extract the source data of each procedure for centralized processing by connecting each business system data source and the access data interface.
The data synchronization is to perform synchronization processing on source data, and aims to ensure real-time performance and accuracy of the data.
The data cleaning is to clean the collected big data, and aims to screen out data which are suitable for counting carbon emission and meet quality requirements.
3. And an energy management module.
In the energy management module, the management of an energy source database is realized, and the method also comprises the discharge factor values of various energy sources, and corresponding discharge factors are disclosed in different periods according to detection results. In the present embodiment, the Emission Factor (EF) can be directly derived from known data (i.e., default values) provided by IPCC, the united states environmental protection agency, european environmental agency, etc., or can be estimated based on representative measurement data. National parameters are set in China based on actual situations, for example, annex two of greenhouse gas emission accounting method and report guidance (trial) of enterprises in other industries in industry provides default value data of parameters of common fossil fuels.
4. And a process management module.
In the process management module, the process management of an organization level is freely defined, the corresponding relation between the process and the energy is configured, the input and output relation of the process energy is configured, the flexible statistical configuration is realized, and the method is suitable for different calculation statistical calibers.
5. And a process carbon calculation module.
In the process carbon calculation module, carbon emission data of each process is calculated based on the acquired activity data of each process. In the present embodiment, the carbon emission data is calculated using the following formula:
GHG＝AD×EF
wherein GHG is carbon emission data; AD is activity data, i.e., the amount of activity that results in production or consumption activities of greenhouse gas emissions, such as the consumption of each fossil fuel, the consumption of limestone raw materials, net purchased electricity, net purchased steam amount, etc.; EF is an emission factor, and EF is a coefficient corresponding to activity level data, including carbon content per unit calorific value or elemental carbon content, oxidation rate and the like, and a greenhouse gas emission coefficient representing unit production or consumption activity. The EF can either directly use known data (i.e., default values) provided by IPCC, the us environmental protection agency, european environmental agencies, etc., or can be inferred based on representative measurement data. National parameters are set in China based on actual conditions, for example, annex two of greenhouse gas emission accounting methods and report guidelines (trial) of enterprises in other industries in industry provides default value data of characteristic parameters of common fossil fuels. And counting and summarizing the calculation interfaces in the process carbon calculation module according to the organization-level calculation caliber and the emission boundary calculation caliber.
6. A product carbon footprint module.
In the procedure carbon footprint module, according to the LCA life cycle theory, the carbon emission of each product in different life cycles is disclosed, and the carbon occupation ratio of the whole product in the process flow is displayed.
7. An energy source database.
The original activity data collected by the data collection module, the carbon emission data calculated in the data processing module, the data generated by the energy management module, the process carbon calculation module and the product carbon footprint module are stored in the database, so that the follow-up data can be inquired, called and analyzed conveniently, and a report related to the carbon emission data can be generated from the database. As shown in fig. 3, MYSQL, REDIS, MQTT and other data can be used to store the corresponding data.
Besides the above modules, the system may also be provided with a user management module, a department management module, a rights management module, and the like, for example: the user management module can allocate different user accounts and carry out operations such as creating, updating and deleting on the user accounts in the system; the department management module can perform certain management according to the department to which the user account belongs, and can also perform data management according to the department corresponding to the process. The right management module may set the right of the corresponding level according to the user account, for example: only intra-system data can be viewed, intra-system data can be operated upon, and so forth.
The steel mill full life cycle carbon emission data monitoring system designed in the application can diagnose that the emission factor of specific fossil fuel is very high in the production process, namely the carbon emission is high, and if the proportion of the fossil fuel with high carbon emission factor is reduced or the fossil fuel with low carbon emission factor is replaced by the fuel with low carbon emission factor on the premise of not influencing the product quality and the yield, the carbon emission can be reduced. Under the stable support of the system in the next year, the reason of carbon emission abnormity is diagnosed according to the system, and the problem is solved by using an effective means, so that the carbon emission is reduced. According to the latest carbon emission trading average price in 2022, 65.5 yuan/ton can be saved if the carbon emission is reduced by 1 ten thousand tons.
The above embodiments are only used for illustrating the design idea and features of the present invention, and the purpose of the present invention is to enable those skilled in the art to understand the content of the present invention and implement the present invention accordingly, and the protection scope of the present invention is not limited to the above embodiments. Therefore, all equivalent changes or modifications based on the principles and design concepts disclosed herein are intended to be included within the scope of the present invention.
Claims (7)
1. The utility model provides a full life cycle carbon emission data monitoring system of steel mill which characterized in that includes:
the data acquisition module is used for acquiring original activity data corresponding to each procedure in the production process of a steel mill;
the data processing module receives the acquired original activity data and preprocesses the acquired original activity data;
the energy management module manages an energy database;
the process management module is used for customizing the corresponding relation between the process management and the energy;
a process carbon calculation module that calculates carbon emission data of each process based on the acquired activity data of each process;
the product carbon footprint module is used for disclosing the carbon emission amount of each product in different life cycles based on the carbon emission data of each process, and displaying the carbon proportion in the whole product process flow;
and the energy source database stores the original activity data acquired by the data acquisition module, the carbon emission data calculated in the data processing module, and the data generated by the energy management module, the process carbon calculation module and the product carbon footprint module.
2. The steel mill full life cycle carbon emission data monitoring system of claim 1, wherein the pre-processing in the data processing module comprises: data extraction, data synchronization and data cleaning.
3. The steel mill full life cycle carbon emission data monitoring system according to claim 1, wherein the carbon emission data is calculated by using the following formula:
GHG＝AD×EF
wherein GHG is carbon emission data; AD is activity data and EF is emission factor.
4. The steel mill full life cycle carbon emission data monitoring system of claim 1, wherein the process steps in the steel mill production process comprise: sintering process, pelletizing process, blast furnace processing process, converter processing process, continuous casting machine processing process and rolling processing process.
5. The steel mill full life cycle carbon emission data monitoring system of claim 1, wherein the extracted raw activity data comprises bituminous coal consumption, anthracite coal consumption, coke consumption, dolomite consumption, limestone consumption, blast furnace gas consumption, power consumption data, soft water consumption, oxygen consumption, natural gas consumption, molten iron consumption, liquefied gas consumption, billet consumption, water consumption.
6. The system for monitoring the carbon emission data of the steel mill in the full life cycle according to any one of claims 1 to 5, further comprising a user management module and a permission management module, wherein the user management module is used for distributing user accounts, and the permission management module sets permissions in different levels according to the user accounts.
7. The system for monitoring the whole life cycle carbon emission data of the steel mill according to claim 1, characterized by further comprising a department management module, wherein the department management module manages the user account according to a department to which the user account belongs; or performing data management according to the corresponding departments of the working procedures.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116433441A (en) * | 2023-04-13 | 2023-07-14 | 北京数极智能科技有限公司 | Carbon footprint integrated management system of full life cycle photovoltaic industry chain |
| CN116468201A (en) * | 2023-04-23 | 2023-07-21 | 国网上海市电力公司 | Carbon footprint monitoring method and system based on power cable production and manufacturing |
| CN117312350A (en) * | 2023-11-28 | 2023-12-29 | 本溪钢铁（集团）信息自动化有限责任公司 | Steel industry carbon emission data management method and device |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116433441A (en) * | 2023-04-13 | 2023-07-14 | 北京数极智能科技有限公司 | Carbon footprint integrated management system of full life cycle photovoltaic industry chain |
| CN116433441B (en) * | 2023-04-13 | 2024-04-05 | 北京数极智能科技有限公司 | Carbon footprint integrated management system of full life cycle photovoltaic industry chain |
| CN116468201A (en) * | 2023-04-23 | 2023-07-21 | 国网上海市电力公司 | Carbon footprint monitoring method and system based on power cable production and manufacturing |
| CN116468201B (en) * | 2023-04-23 | 2023-12-22 | 国网上海市电力公司 | Carbon footprint monitoring method and system based on power cable production and manufacturing |
| CN117312350A (en) * | 2023-11-28 | 2023-12-29 | 本溪钢铁（集团）信息自动化有限责任公司 | Steel industry carbon emission data management method and device |
| CN117312350B (en) * | 2023-11-28 | 2024-02-27 | 本溪钢铁（集团）信息自动化有限责任公司 | Steel industry carbon emission data management method and device |
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