CN114707950A - Method and device for monitoring carbon emission efficiency of discrete production equipment - Google Patents
Method and device for monitoring carbon emission efficiency of discrete production equipment Download PDFInfo
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Abstract
The application provides a method and a device for monitoring carbon emission efficiency of discrete production equipment, wherein the method comprises the following steps: business data in the enterprise production process; accounting and counting the total and the subentry carbon emission in the production process of the enterprise according to the business data; and carrying out visual processing on the accounting result and the statistical result. According to the monitoring method for the carbon emission efficiency of the discrete production equipment, the total amount and the subentry emission of the real-time carbon emission in the production process of an enterprise are accounted and counted according to the collected business data in the production process of the enterprise, and then the accounting result and the counting result are visually processed, so that the carbon emission level of some equipment can be accurately quantized, the enterprise can conveniently know the carbon footprint of the enterprise, the link with the largest energy-saving and emission-reducing potential is found, and an effective emission-reducing scheme is made.
Description
Technical Field
The application relates to the technical field of carbon emission management, in particular to a method and a device for monitoring carbon emission efficiency of discrete production equipment.
Background
At present, the internationally common carbon emission accounting method mainly comprises top-down macroscopic level accounting and bottom-up microscopic level accounting.
The former is represented by the 'national greenhouse gas list guide' of IPCC, which classifies the main national carbon emission sources, reconstructs subdirectories under the department classification until the emission sources are included, and essentially performs accounting by decomposing layer by layer from top to bottom. The latter is the situation of greenhouse gas emissions during the production or consumption process by accounting for the carbon footprint of enterprises and products, understanding various microscopic subjects such as enterprises, organizations and consumers, and theoretically summarizing the total amount of carbon emissions in a certain area.
However, the carbon emission accounting method is only limited to regions, enterprises and product levels for carbon emission evaluation, and carbon emission accounting is not performed on the whole production process, so that which link of the production process causes a large amount of carbon emission cannot be determined, and the execution efficiency of energy conservation and emission reduction of enterprises is hindered.
Disclosure of Invention
The present application is proposed to solve the above problems. According to an aspect of the present application, there is provided a method of monitoring carbon emission efficiency of a discrete production facility, the method comprising:
collecting business data in the production process of an enterprise;
according to the business data, accounting and counting the real-time carbon emission total amount and the subentry emission in the production process of the enterprise;
and carrying out visual processing on the accounting result and the statistical result.
In one embodiment of the present application, collecting business data in an enterprise production process includes:
collecting current and voltage data of the production equipment of the enterprise in different states;
collecting thermal and flow data of the production equipment;
obtaining a net consumption of fuel by the production facility;
obtaining the amount of gas and liquid used in the production process;
acquiring yield value data;
and acquiring the current day operation time, the planned working time and the production good product quantity of the production equipment.
In an embodiment of the present application, accounting and counting the real-time total carbon emissions and the itemized emissions in the production process of the enterprise according to the business data includes:
calculating fossil fuel emission data according to the business data, wherein the calculation formula is as follows:
wherein: eBurning ofRepresenting the ton of carbon dioxide equivalent produced by the combustion of fossil fuels used in industrial boilers and furnaces, in units of tCo2 e; ADiRepresenting the activity level of the ith fossil fuel; EFiRepresenting the activity level of the ith fossil fuel; n represents a fossil fuel type; GWP represents global warming potential.
In an embodiment of the present application, accounting and counting the real-time total carbon emissions and the itemized emissions in the production process of the enterprise according to the business data includes:
and calculating the emission data of the production process according to the service data, wherein the calculation formula is as follows:
wherein E isProcedureRepresenting the ton equivalent of carbon dioxide produced by the production equipment in the production process, and the unit is tCo2 e; eProcess iRepresents the ton equivalent of carbon dioxide produced by the ith production process and has the unit of tCo2 e; n represents the number of steps in the production process。
In an embodiment of the present application, accounting and counting the real-time total carbon emissions and the itemized emissions in the production process of the enterprise according to the business data includes:
according to the business data, outsourcing power emission data is calculated, and the calculation formula is as follows:
Eelectric power＝ADElectric power×EFElectric power×GWP
Wherein E isElectric powerA ton carbon dioxide equivalent representing net purchased electrical emission in units of tCo2 e; ADElectric powerThe unit of the electric quantity which represents the net purchase and use of production equipment is MWh; FEElectric powerThe annual average power supply emission factor of the regional power grid is represented and has the unit of tCO 2/MWh; GWP represents global warming potential.
In an embodiment of the present application, accounting and counting real-time total carbon emissions and itemized emissions in a production process of the enterprise according to the business data includes:
calculating outsourcing heat emission data according to the service data, wherein the calculation formula is as follows:
Eheating power＝ADHeating power×EFHeating power×GWP
Wherein E isHeating powerA ton carbon dioxide equivalent representing net purchased thermal emissions in units of tCo2 e; ADHeating powerRepresents the heat of the net purchased heat consumed by the production equipment, and the unit is GJ; EFHeating powerAn emission factor representing heat supply, in the units tCO 2/GJ; GWP global warming potential.
In an embodiment of the present application, accounting and counting real-time total carbon emissions and itemized emissions in a production process of the enterprise according to the business data includes:
and calculating the carbon efficiency data of the equipment on the day according to the service data, wherein the calculation formula is as follows:
CEE＝(Eburning of+EProcedure+EElectric power+EHeating power)/EValue of production
Wherein CEE represents the emission ton of one standard product produced by the current equipmentCarbon dioxide equivalent in units of tCo2e per piece; eBurning ofRepresenting the amount of carbon dioxide discharged by the current equipment in the day of combustion production; eProcedureRepresenting the amount of carbon dioxide discharged in the current equipment in the current production process on the day; eElectric powerThe carbon dioxide amount representing the current equipment which consumes the outsourcing power emission in the current day production; eHeating powerThe carbon dioxide amount representing the consumption of outsourcing heat power emission in the current equipment production on the day; eOutput valueIndicating the product output value of the current equipment produced on the day.
In an embodiment of the present application, the accounting and counting real-time total carbon emissions and itemized emissions in the production process of the enterprise according to the business data further includes: and obtaining the emission trend change of the equipment according to the accounting result and the statistical result, and comparing the emission trend change with the carbon emission conditions of the same type of production equipment to obtain a comparison result.
In one embodiment of the present application, wherein the status of the production device comprises at least one of: equipment operation, equipment maintenance, equipment standby, equipment shutdown and equipment failure.
According to another aspect of the present application, there is provided an apparatus for monitoring carbon emission efficiency of a discrete production facility, the apparatus comprising:
a processor;
a memory having stored thereon a computer program which, when executed by a processor, causes the processor to perform the method of monitoring carbon emission efficiency of a discrete production facility of any one of claims 1 to 9.
According to the monitoring method for the carbon emission efficiency of the discrete production equipment, the total amount and the subentry emission of the real-time carbon emission in the production process of an enterprise are accounted and counted according to the collected business data in the production process of the enterprise, and then the accounting result and the counting result are visually processed, so that the carbon emission level of some equipment can be accurately quantized, the enterprise can conveniently know the carbon footprint of the enterprise, the link with the largest energy-saving and emission-reducing potential is found, and an effective emission-reducing scheme is made.
Drawings
The above and other objects, features and advantages of the present application will become more apparent by describing in more detail embodiments of the present application with reference to the attached drawings. The accompanying drawings are included to provide a further understanding of the embodiments of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the principles of the application. In the drawings, like reference numbers generally represent like parts or steps.
FIG. 1 shows a schematic flow diagram of a method of monitoring carbon emission efficiency of a discrete production facility according to an embodiment of the present application;
fig. 2 shows a schematic block diagram of a monitoring device for carbon emission efficiency of a discrete production facility according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, exemplary embodiments according to the present application will be described in detail below with reference to the accompanying drawings. It should be understood that the described embodiments are only some embodiments of the present application and not all embodiments of the present application, and that the present application is not limited by the example embodiments described herein. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the application described in the application without inventive step, shall fall within the scope of protection of the application.
Based on the foregoing technical problem, the present application provides a method for monitoring carbon emission efficiency of a discrete production facility, the method comprising: collecting business data in the production process of an enterprise; accounting and counting the total and the subentry carbon emission in the production process of the enterprise according to the business data; and carrying out visualization processing on the accounting result and the statistical result. According to the monitoring method for the carbon emission efficiency of the discrete production equipment, the total amount and the subentry emission of the real-time carbon emission in the production process of an enterprise are accounted and counted according to the collected business data in the production process of the enterprise, and then the accounting result and the counting result are visually processed, so that the carbon emission level of some equipment can be accurately quantized, the enterprise can conveniently know the carbon footprint of the enterprise, the link with the largest energy-saving and emission-reducing potential is found, and an effective emission-reducing scheme is made.
The following describes in detail a scheme of an edge gateway based carbon emission management system according to an embodiment of the present application with reference to the accompanying drawings. The features of the various embodiments of the present application may be combined with each other without conflict.
FIG. 1 shows a schematic flow diagram of a method of monitoring carbon emission efficiency of a discrete production facility according to an embodiment of the present application; as shown in fig. 1, a method 100 for monitoring carbon emission efficiency of a discrete type production facility according to an embodiment of the present application may include steps S101, S102 and S103,
in step S101, business data in the enterprise production process is collected.
Wherein the status of the production equipment comprises at least one of: equipment operation, equipment maintenance, equipment standby, equipment shutdown and equipment failure.
In one embodiment of the present invention, collecting business data in an enterprise production process includes: a1, collecting current and voltage data of the production equipment of the enterprise under different states; a2, collecting the heat power and flow data of the production equipment; a3, obtaining the net consumption of the fuel of the production equipment; a4, obtaining the gas and liquid consumption used in the production process; a5, acquiring yield value data; and A6, acquiring the operation time of the production equipment on the day, the planned working time and the quantity of the good products.
In step a1, the current and voltage data of the production facility in different states can be obtained by reading the item meter data of the production facility. If the production equipment is not provided with the subentry ammeter, data of the equipment in different states, such as current, voltage and the like in the states of equipment operation, standby, maintenance and the like, need to be acquired according to various sensors.
In step a2, data such as thermal (e.g., steam) flow rate is collected by adding a sensor. Or by a heating invoice provided by a supplier or a settlement voucher of the enterprise.
In step A3, the net consumption of fuel may be obtained from a measurement data calculation such as the inventory of the enterprise or from an energy balance table of the enterprise. The emission factor of the fuel can be calculated by parameters such as carbon content and carbon oxidation rate of the unit heat value of the fuel.
In step a4, the usage amounts of gas, liquid, and the like used in the production process are obtained from the initial inventory and the final inventory in the production process, and may be obtained by a manufacturing execution Management System (MES) or a Warehouse Management System (WMS), or may be manually entered by a field production job execution plan.
In step a5, the production output data is obtained based on the MES system and Enterprise Resource Planning (ERP) system on the production site, or calculated by the plant manager through equipment capability, order and process information;
in step a6, the operation time of the production equipment on the day, the scheduled work time, and the number of good products in production can be obtained by the MES system, or calculated by the plant management personnel through information such as job execution.
In step S102, accounting and statistics are performed on the total amount and the itemized emissions of the real-time carbon emissions in the production process of the enterprise according to the business data.
In a first example, accounting and counting the total and fractional emissions of real-time carbon emissions in the production process of the enterprise according to the business data includes:
calculating fossil fuel emission data according to the business data, wherein the calculation formula is as follows:
wherein: eBurning ofRepresenting the ton of carbon dioxide equivalent produced by the combustion of fossil fuels used in industrial boilers and furnaces, in units of tCo2 e; ADiRepresenting the activity level of the ith fossil fuel; EFiRepresenting the activity level of the ith fossil fuel; n represents a fossil fuel type; GWP (Global Warming potential)Energy value.
The values of GWP may be obtained from data provided by inter-government climate change committee (IPCC), among others.
In a second example, accounting and counting real-time total carbon emission and itemized emission in the production process of the enterprise according to the business data comprises:
and calculating the emission data of the production process according to the service data, wherein the calculation formula is as follows:
wherein E isProcedureRepresenting the ton equivalent of carbon dioxide produced by the production equipment in the production process, and the unit is tCo2 e; eProcess iRepresenting ton carbon dioxide equivalent produced by the ith production process, and the unit is tCo2 e; n represents the number of steps in the production process.
Wherein, in different industries, EProcess iAre not the same. For example, taking carbon dioxide arc welding as an example, the emission calculation formula during welding is as follows:
wherein, EProcess iThe amount of carbon dioxide discharged by the carbon dioxide arc welding is expressed by tCo 2; eiThe carbon dioxide amount emitted by the ith protective gas is represented by tCo 2; w is a group ofiThe net usage of the ith protective gas in the report period is represented as t; p isiDenotes the volume percentage,%, of CO2 in the i-th protective gas; pjRepresents the volume percentage of the jth gas in the mixed gas,%; mjRepresents the molar mass of the jth gas in the mixed gas and has the unit of g/mol; i denotes a type of shielding gas(ii) a j represents the gas species in the mixed shielding gas.
In a third example, accounting and counting real-time carbon emission total and itemized emission in the production process of the enterprise according to the business data comprises:
according to the business data, outsourcing power emission data is calculated, and the calculation formula is as follows:
Eelectric power＝ADElectric power×EFElectric power×GWP
Wherein, EElectric powerA ton carbon dioxide equivalent representing net purchased electrical emission in units of tCo2 e; ADElectric powerThe unit of the electric quantity which represents the net purchase and use of production equipment is MWh; FEElectric powerThe annual average power supply emission factor of the regional power grid is represented and has the unit of tCO 2/MWh; GWP represents global warming potential.
Wherein, AD is obtainedElectric powerWhen the value is measured, the AD can be directly read from the power meter of the production equipmentElectric powerThe value of the production equipment can be calculated by collecting the current and the voltage of the production equipment and calculating according to the running power of the production equipment if the production equipment does not have a separate power meter for timing.
In a fourth example, accounting and counting real-time total carbon emission and itemized emission in the production process of the enterprise according to the business data comprises:
calculating outsourcing heat emission data according to the service data, wherein the calculation formula is as follows:
Eheating power＝ADHeating power×EFHeating power×GWP
Wherein E isHeating powerA ton carbon dioxide equivalent representing net purchased thermal emissions in units of tCo2 e; ADHeating powerRepresents the heat of the net purchased heat consumed by the production equipment, and the unit is GJ; EFHeating powerAn emission factor representing the heat supply, in the units tCO 2/GJ; GWP global warming potential.
Wherein AD is obtainedHeating powerWhen the value is measured, the value can be directly read from a heating power meter of the production equipment, and if the production equipment does not have a single heating power meter, the value can be read through enterprises and workshopsThe bill of settlement, etc.
In a fifth example, accounting and counting real-time total carbon emission and itemized emission in the production process of the enterprise according to the business data comprises:
and calculating the carbon efficiency data of the equipment on the day according to the service data, wherein the calculation formula is as follows:
CEE＝(Eburning of+EProcedure+EElectric power+EHeating power)/EOutput value
Wherein CEE represents the ton equivalent of carbon dioxide discharged by the current equipment for producing a standard product, and the unit is tCo2e per unit; eBurning ofRepresenting the amount of carbon dioxide discharged by the current equipment in the day of combustion production; eProcedureRepresenting the amount of carbon dioxide discharged in the current equipment in the current production process on the day; eElectric powerThe carbon dioxide amount representing the current equipment consuming outsourcing power emission in the current day of production; eHeating powerThe carbon dioxide amount representing the consumption of outsourcing heat power emission in the current equipment production on the day; eOutput valueIndicating the product output value of the current equipment produced on the day.
Wherein, in obtaining EElectric powerDuring the value, can directly read from the electric power gauge of production facility, if production facility does not have independent electric power gauge meter, can be through the electric current, the voltage of collection equipment to calculate according to the operating power of equipment.
In a sixth example, accounting and counting the total and fractional emissions of real-time carbon emissions during the production process of the enterprise according to the business data further includes: and obtaining the emission trend change of the equipment according to the accounting result and the statistical result, and comparing the emission trend change with the carbon emission conditions of the same type of production equipment to obtain a comparison result.
The method and the system evaluate key energy consumption equipment in different process links, and acquire the states of the equipment (such as the running state, the standby state, the shutdown state and the fault state of the equipment) through an MES (manufacturing execution system) system or an edge gateway. Meanwhile, based on information such as operating power, current, voltage, energy consumption and production capacity of the production equipment, the total carbon emission amount and the subentry emission data (such as fossil fuel combustion data, production process data, outsourcing power data and outsourcing heating power data) of the production equipment are monitored, the hourly emission data, the production yield and the like of the production equipment can be counted by taking hours as a unit, the operating state and the carbon efficiency of the equipment are calculated, and the emission trend change of the production equipment and the emission condition of the production equipment of the same type are compared, so that production execution and management personnel can be helped to find the abnormal emission of the equipment in time, and support is provided for the establishment of plans such as upgrading, standby and maintenance of the equipment.
In step S103, the accounting result and the statistical result are subjected to visualization processing.
In one example, the accounting results and the statistical results may be sent to a display for display on the display for review by a manager. When the emission trend change of the display equipment and the emission situation of the same type of production equipment are compared, the results can be displayed in the forms of line graphs, charts, bar graphs, pie charts and the like.
In the application, the enterprise can track the carbon generation source in the production process, so that the production process is optimized, and the carbon emission efficiency of production equipment in the production process can be accurately calculated
According to the monitoring method for the carbon emission efficiency of the discrete production equipment, the total amount and the subentry emission of the real-time carbon emission in the production process of an enterprise are accounted and counted according to the collected business data in the production process of the enterprise, and then the accounting result and the counting result are visually processed, so that the carbon emission level of some equipment can be accurately quantized, the enterprise can conveniently know the carbon footprint of the enterprise, the link with the largest energy-saving and emission-reducing potential is found, and an effective emission-reducing scheme is made.
The monitoring device for carbon emission efficiency of a discrete production facility of the present application is described below with reference to fig. 2, where fig. 2 shows a schematic block diagram of the monitoring device for carbon emission efficiency of a discrete production facility according to an embodiment of the present application.
As shown in fig. 2, the monitoring apparatus 200 for monitoring carbon emission efficiency of a discrete type manufacturing facility includes: one or more memories 201 and one or more processors 202, the memory 201 having stored thereon a computer program for execution by the processor 202, the computer program, when executed by the processor 202, causing the processor 202 to perform the order processing method described hereinbefore.
The monitoring device 200 for carbon emission efficiency of the discrete production equipment may be part or all of computer equipment which can realize the order processing method through software, hardware or a combination of software and hardware.
As shown in fig. 2, the monitoring device 200 for monitoring the carbon emission efficiency of a discrete production facility includes one or more memories 201, one or more processors 202, a display (not shown), a communication interface, and the like, which are interconnected via a bus system and/or other form of connection mechanism (not shown). It should be noted that the components and structure of the monitoring device 200 for carbon emission efficiency of a discrete type production facility shown in fig. 2 are only exemplary and not restrictive, and the monitoring device 200 for carbon emission efficiency of a discrete type production facility may have other components and structures as necessary.
The memory 201 is used to store various data and executable program instructions generated during the order processing, such as algorithms for storing various application programs or implementing various specific functions. May include one or more computer program products that may include various forms of computer-readable storage media, such as volatile memory and/or non-volatile memory. The volatile memory may include, for example, Random Access Memory (RAM), cache memory (cache), and/or the like. The non-volatile memory may include, for example, Read Only Memory (ROM), hard disk, flash memory, etc.
The processor 202 may be a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA), or other form of processing unit having data processing capabilities and/or instruction execution capabilities, and may discrete other components in the production facility carbon emission efficiency monitoring apparatus 200 to perform desired functions.
In one example, the monitoring device 200 of the carbon emission efficiency of the discrete-type production facility further includes an output device that may output various information (e.g., images or sounds) to the outside (e.g., a user), and may include one or more of a display device, a speaker, and the like.
The communication interface may be any interface of any presently known communication protocol, such as a wired interface or a wireless interface, wherein the communication interface may include one or more serial ports, USB interfaces, ethernet ports, WiFi, wired network, DVI interfaces, device integrated interconnect modules, or other suitable various ports, interfaces, or connections.
Furthermore, according to an embodiment of the present application, there is also provided a storage medium on which program instructions are stored, which when executed by a computer or a processor, are used for executing the corresponding steps of the order processing method of the embodiment of the present application. The storage medium may include, for example, a memory card of a smart phone, a storage component of a tablet computer, a hard disk of a personal computer, a Read Only Memory (ROM), an Erasable Programmable Read Only Memory (EPROM), a portable compact disc read only memory (CD-ROM), a USB memory, or any combination of the above storage media.
The monitoring device for the carbon emission efficiency of the discrete production equipment in the embodiment of the application can realize the monitoring method for the carbon emission efficiency of the discrete production equipment, so that the monitoring device has the same advantages as the monitoring method for the carbon emission efficiency of the discrete production equipment.
Although the example embodiments have been described herein with reference to the accompanying drawings, it is to be understood that the above-described example embodiments are merely illustrative and are not intended to limit the scope of the present application thereto. Various changes and modifications may be effected therein by one of ordinary skill in the pertinent art without departing from the scope or spirit of the present application. All such changes and modifications are intended to be included within the scope of the present application as claimed in the appended claims.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the above-described device embodiments are merely illustrative, and for example, the division of the units is only one logical functional division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another device, or some features may be omitted, or not executed.
In the description provided herein, numerous specific details are set forth. However, it is understood that embodiments of the application may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the description of exemplary embodiments of the present application, various features of the present application are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the application and aiding in the understanding of one or more of the various inventive aspects. However, the method of the present application should not be construed to reflect the intent: this application is intended to cover such departures from the present disclosure as come within known or customary practice in the art to which this invention pertains. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this application.
It will be understood by those skilled in the art that all of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where such features are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments described herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the application and form different embodiments. For example, in the claims, any of the claimed embodiments may be used in any combination.
The various component embodiments of the present application may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functionality of some of the modules according to embodiments of the present application. The present application may also be embodied as apparatus programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present application may be stored on a computer readable medium or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the application, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The application may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.
The above description is only for the specific embodiments of the present application or the description thereof, and the protection scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope disclosed in the present application, and shall be covered by the protection scope of the present application. The protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A method of monitoring carbon emission efficiency of a discrete production facility, the method comprising:
collecting business data in the production process of an enterprise;
accounting and counting the total and the subentry carbon emission in the production process of the enterprise according to the business data;
and carrying out visual processing on the accounting result and the statistical result.
2. The method of claim 1, wherein collecting business data in an enterprise production process comprises:
collecting current and voltage data of the production equipment of the enterprise in different states;
collecting thermal and flow data of the production equipment;
obtaining a net consumption of fuel by the production facility;
obtaining the gas and liquid consumption used in the production process;
acquiring yield value data;
and acquiring the current day operation time, the planned working time and the production good product quantity of the production equipment.
3. The method of claim 1, wherein accounting and accounting for real-time total and fractional emissions of carbon emissions during production of the enterprise based on the business data comprises:
calculating fossil fuel emission data according to the business data, wherein the calculation formula is as follows:
wherein: eBurning ofRepresenting the ton of carbon dioxide equivalent produced by the combustion of fossil fuels used in industrial boilers and furnaces, in units of tCo2 e; ADiRepresenting the activity level of the ith fossil fuel; EFiRepresenting the activity level of the ith fossil fuel; n represents a fossil fuel type; GWP represents global warming potential.
4. The method of claim 1, wherein accounting and accounting for real-time total and fractional emissions of carbon emissions during production of the enterprise based on the business data comprises:
and calculating the emission data of the production process according to the service data, wherein the calculation formula is as follows:
wherein E isProcedureRepresenting the ton equivalent of carbon dioxide produced by the production equipment in the production process, and the unit is tCo2 e; eProcess iRepresents the ton equivalent of carbon dioxide produced by the ith production process and has the unit of tCo2 e; n represents the number of steps in the production process.
5. The method of claim 1, wherein accounting and accounting for real-time total and fractional emissions of carbon emissions during production of the enterprise based on the business data comprises:
according to the business data, outsourcing power emission data is calculated, and the calculation formula is as follows:
Eelectric power＝ADElectric power×EFElectric power×GWP
Wherein, EElectric powerA ton carbon dioxide equivalent representing net purchased electrical emission in units of tCo2 e; ADElectric powerThe unit of the electric quantity which represents the net purchase and use of production equipment is MWh; FEElectric powerThe annual average power supply emission factor of the regional power grid is represented and has the unit of tCO 2/MWh; GWP represents global warming potential.
6. The method of claim 1, wherein accounting and accounting for real-time total and fractional emissions of carbon emissions during production of the enterprise based on the business data comprises:
calculating outsourcing heat emission data according to the service data, wherein the calculation formula is as follows:
Eheating power＝ADHeating power×EFHeating power×GWP
Wherein E isHeating powerA ton carbon dioxide equivalent representing net purchased thermal emissions in units of tCo2 e; ADHeating powerRepresents the heat of the net purchased heat consumed by the production equipment, and the unit is GJ; EFHeating powerAn emission factor representing the heat supply, in the units tCO 2/GJ; GWP global warming potential.
7. The method of claim 1, wherein accounting for and accounting for real-time total and itemized emissions of carbon emissions during production of the enterprise based on the business data comprises:
and calculating the carbon efficiency data of the equipment on the day according to the service data, wherein the calculation formula is as follows:
CEE＝(Eburning of+EProcedure+EElectric power+EHeating power)/EOutput value
Wherein CEE represents the ton equivalent of carbon dioxide discharged by the current equipment for producing a standard product, and the unit is tCo2e per unit; eBurning ofRepresenting the carbon dioxide amount discharged by the current equipment in the current day of production and combustion; eProcedureRepresenting the amount of carbon dioxide discharged in the current equipment in the current production process on the day; eElectric powerThe carbon dioxide amount representing the current equipment consuming outsourcing power emission in the current day of production; eHeating powerThe carbon dioxide amount representing the consumption of outsourcing heat power emission in the current equipment production on the day; eOutput valueIndicating the product output value of the current equipment produced on the day.
8. The method of claim 1, wherein accounting and accounting for real-time total and fractional emissions of carbon emissions during production by the enterprise based on the business data further comprises: and obtaining the emission trend change of the equipment according to the accounting result and the statistical result, and comparing the emission trend change with the carbon emission conditions of the same type of production equipment to obtain a comparison result.
9. The method of claim 2, wherein the status of the production facility includes at least one of: equipment operation, equipment maintenance, equipment standby, equipment shutdown and equipment failure.
10. An apparatus for monitoring carbon emission efficiency of a discrete production facility, the apparatus comprising:
a processor;
a memory having stored thereon a computer program which, when executed by a processor, causes the processor to perform the method of monitoring carbon emission efficiency of a discrete production facility of any one of claims 1 to 9.
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| CN115545450B (en) * | 2022-09-27 | 2023-06-06 | 广东师大维智信息科技有限公司 | Carbon emission collaborative prediction method based on digital twin |
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