System for monitoring life cycle carbon emission of WPCB pyrogenic recovery metal copper on line

Abstract

The invention discloses a system for monitoring life cycle carbon emission of WPCB pyrogenic recovery metal copper on line, and belongs to the field of carbon emission monitoring. The life cycle carbon emission on-line monitoring system for pyrogenic recovery of metal copper from waste circuit boards at least comprises a monitoring device and a server platform. Wherein the monitoring equipment is used for measuring the concentration of carbon dioxide discharged in the production process, the flue gas flow, the power consumption, the fuel consumption and the raw material consumption, and the server platform is used for receiving monitoring data and converting and calculating the monitoring data to obtain the comprehensive carbon dioxide emission. According to the embodiment of the invention, the real-time comprehensive carbon dioxide emission on-line monitoring system for recovering the metal copper from the waste circuit board is obtained. The comprehensive carbon dioxide emissions comprise direct carbon dioxide emissions in the production process and indirect carbon dioxide emissions caused by power consumption, fuel consumption and raw material consumption.

Description

Technical Field

[0001] The present invention relates to the technical field of life cycle carbon emission monitoring and accounting for the recovery of metallic copper from waste printed circuit boards (WPCBs), and is particularly applicable to an on-line monitoring system and method for the life cycle carbon emissions of the pyrometallurgical recovery of metallic copper from WPCBs of electronic products. Background Art

[0002] Waste printed circuit boards are rich in a large amount of metallic copper resources. At present, the generation amount of waste printed circuit boards is increasing year by year. A large amount of metallic copper resources are piled up in waste printed circuit boards as urban minerals. More and more resource recycling enterprises carry out the recycling of waste printed circuit boards, and the recycling technology has been relatively mature. The pyrometallurgical process is a common process for the recovery of metallic copper from waste printed circuit boards, which has a short process, high recovery efficiency and low cost. However, in the pyrometallurgical process, direct carbon dioxide emissions will be generated due to the combustion of fuel. At the same time, there will also be indirect carbon dioxide emissions from the consumption of energy such as electricity and natural gas and resources such as coke and limestone in production. At present, there is no life cycle carbon emission monitoring technology for this field. The carbon emission monitoring in similar fields mostly adopts the factor accounting method, that is, the carbon emissions are calculated according to the corresponding energy carbon emission factors, or only focuses on the direct carbon emission monitoring of the production process itself, ignoring the indirect carbon emissions caused by the consumption of raw materials and energy, and cannot reflect the carbon emissions of the life cycle. Therefore, in the context of carbon peak and carbon neutrality, it is urgent to design a system with on-line monitoring of life cycle carbon emissions to realize the on-line monitoring of the life cycle carbon emissions of the pyrometallurgical recovery of metallic copper from waste printed circuit boards, and at the same time provide a technical reference for the on-line monitoring of carbon emissions in other industrial production. Summary of the Invention

[0003] Based on the deficiencies existing in the art, the present invention provides an on-line monitoring system for the life cycle carbon emissions of the pyrometallurgical recovery of metallic copper from waste printed circuit boards.

[0004] In order to achieve the purpose of the present invention, the following technical solutions are adopted by the present invention:

[0005] An on-line monitoring system for the life cycle carbon emissions of the pyrometallurgical recovery of metallic copper from WPCBs includes monitoring equipment and a server platform; the monitoring equipment is used to measure the concentration and flue gas flow rate of carbon dioxide, power consumption, fuel consumption and raw material consumption in the production process, and the server platform is used to receive the data monitored by the monitoring equipment and convert and calculate to obtain the comprehensive carbon dioxide emissions; it is realized in the following steps in sequence:

[0006] (1) To obtain the direct carbon dioxide emissions, collect the carbon dioxide concentration and flue gas flow rate discharged from the oxygen-enriched incineration (waste printed circuit board powder) process and upload them to the server platform;

[0007] (2) To obtain the indirect carbon dioxide emissions caused by electricity consumption, collect the electricity consumption data during the production process, including the electricity consumed in raw material metering and enclosed belt conveying, the electricity consumed in the oxygen-enriched incineration process, and the electricity consumed in ingot packaging and warehousing, and upload it to the server platform;

[0008] (3) To obtain the indirect carbon dioxide emissions caused by natural gas consumption, collect the natural gas consumption in the oxygen-enriched incineration process and upload it to the server platform.

[0009] (4) To obtain the indirect carbon dioxide emissions caused by raw material consumption, collect the consumption of reducing agent (coke) and slag-forming agent (quartzite) and upload it to the server platform;

[0010] (5) Build a server platform, capture the above monitoring data, and construct an analysis model to calculate the comprehensive carbon dioxide emissions online.

[0011] (1) In, install a carbon dioxide concentration analyzer and a flue gas flowmeter in the flue gas exhaust pipeline of the oxygen-enriched bottom-blown furnace to monitor the carbon dioxide emission concentration and flue gas flow in real time, and upload it to the carbon dioxide concentration acquisition module and the flue gas flow acquisition module of the server platform;

[0012] (2) In, collect the electricity consumption data during the production process. Install smart electricity meters in the raw material metering equipment workshop, the enclosed belt conveying equipment, the oxygen-enriched incineration production workshop, and the ingot packaging and warehousing workshop to monitor the readings of the smart electricity meters at the above positions in real time, and upload it to the smart electricity meter data acquisition module of the server platform;

[0013] (3) In, collect the natural gas consumption in the oxygen-enriched incineration process. Install a smart gas meter in the natural gas pipeline of the oxygen-enriched bottom-blown furnace to monitor the readings of the smart gas meter in real time, and upload it to the smart gas meter data acquisition module of the server platform;

[0014] (4) In, collect the raw material consumption during the production process. Set two raw material measuring instruments between the raw material bin and the belt conveyor to monitor the consumption of reducing agent (coke) and slag-forming agent (quartzite) in real time, and upload it to the measurement data acquisition module of the server platform;

[0015] (5) In, build a server platform, embed the carbon dioxide concentration acquisition module, the flue gas flow acquisition module, the smart electricity meter data acquisition module, the smart gas meter data acquisition module, and the measurement data acquisition module, construct an integrated comprehensive carbon dioxide calculation model, capture the monitoring data every hour, and record at the whole hour; combine the data of the above modules, and through the comprehensive carbon dioxide calculation model, output the hourly comprehensive carbon dioxide emissions (grams / hour) in real time; the formula of the comprehensive carbon dioxide calculation model is shown in formulas (1)-(5).

[0016] QCO2 = Q1 + Q2 + Q3 + Q4 (1)

[0017] Wherein:

[0018] Q CO2 is the comprehensive carbon dioxide emission per hour, with the unit of g;

[0019] Q1 is the carbon dioxide emission per hour in the combustion flue gas of the oxygen-enriched bottom-blown furnace, with the unit of g;

[0020] Q2 is the carbon dioxide emission per hour caused by power consumption, with the unit of g;

[0021] Q3 is the carbon dioxide emission per hour caused by natural gas consumption, with the unit of g;

[0022] Q4 is the carbon dioxide emission per hour caused by the consumption of reducing agent (coke) and slag-forming agent (quartzite), with the unit of g.

[0023] Q1 = A i * C i,CO2 (2)

[0024] Wherein:

[0025] A i is the flue gas flow rate at the i-th point (whole hour, time) measured by the flow meter, with the unit of m 3 / h; C i,CO2 is the carbon dioxide concentration at the i-th point (whole hour) measured by the carbon dioxide concentration analyzer, with the unit of g / m 3 ;

[0026]

[0027] Wherein:

[0028] Scenarios 1 to 4 are the following four situations: the raw material metering equipment workshop of the production line, the closed belt conveyor equipment location, the oxygen-enriched incineration production workshop, and the ingot packaging and warehousing workshop;

[0029] e i is the smart electricity meter reading at the i-th point (whole hour), with the unit of kwh;

[0030] e i-1 is the smart electricity meter reading at the (i - 1)-th point (whole hour), with the unit of kwh;

[0031] f1 is the CO2 emission coefficient per unit power generation, with the unit of g / kwh.

[0032] Q3 = (n i - n i-1 ) * f2 (4)

[0033] In the formula:

[0034] n i is the reading of the intelligent gas meter at the i-th (whole point) point, and the unit is m 3 ;

[0035] n i-1 is the reading of the intelligent gas meter at the (i - 1)-th (whole point) point, and the unit is m 3 ;

[0036] f2 is the CO2 emission coefficient per unit of natural gas production, and the unit is g / m 3 .

[0037] Q4 = (h i - h i-1 ) * f3 + (q i - q i-1 ) * f4 (5)

[0038] In the formula:

[0039] h i is the reading of the coke metering meter at the i-th (whole point) point, and the unit is kg;

[0040] h i-1 is the reading of the coke metering meter at the (i - 1)-th (whole point) point, and the unit is kg;

[0041] f3 is the CO2 emission coefficient per unit of coke production, and the unit is g / kg;

[0042] q i is the reading of the quartz stone metering meter at the i-th (whole point) point, and the unit is kg;

[0043] q i-1 is the reading of the quartz stone metering meter at the (i - 1)-th (whole point) point, and the unit is kg;

[0044] f4 is the CO2 emission coefficient per unit of quartz stone production, and the unit is g / kg.

[0045] The beneficial effects of the present invention are as follows:

[0046] 1) The operation method of the present invention is simple and easy to implement.

[0047] 2) Online output the sum of the direct carbon emissions and indirect carbon emissions of the pyrometallurgical recovery of metallic copper from waste printed circuit boards, realizing online monitoring of life cycle carbon emissions. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 Schematic diagram of the process flow and metering equipment installation for the pyrometallurgical recovery of metallic copper from waste printed circuit boards

[0049] Figure 2Lifecycle Carbon Emission Monitoring System Model Diagram for the Pyrometallurgical Recovery of Metallic Copper from Waste Printed Circuit Boards Detailed Implementation Manner

[0050] The present invention is further illustrated by the following embodiments, but the present invention is not limited to the following embodiments.

[0051] As Figure 1 shown, the lifecycle carbon emission system for online monitoring of the pyrometallurgical recovery process of metallic copper from waste printed circuit boards in the embodiments of the present invention includes monitoring equipment and a server platform. Among them, the monitoring equipment is used to measure the concentration of carbon dioxide, flue gas flow rate, power consumption, fuel consumption, and raw material consumption during the production process, and the server platform is used to receive the monitoring data and convert and calculate to obtain the comprehensive carbon dioxide emissions.

[0052] The monitoring equipment includes a flue gas flowmeter, a CO2 concentration analyzer, smart meters 1# - 4#, a smart gas meter, and raw material metering equipment 2# - 3#. The flue gas flowmeter and the CO2 concentration analyzer are installed in the exhaust stack of the oxygen-enriched bottom-blown furnace to measure the flue gas flow rate and CO2 concentration in the exhaust stack in real time and transmit them to the carbon dioxide concentration acquisition module and the flue gas flow rate acquisition module of the server platform; the smart meters 1# - 4# are respectively installed in the circuits of the raw material metering equipment workshop, the closed belt conveyor equipment circuit, the oxygen-enriched incineration production workshop circuit, and the ingot packaging and warehousing workshop circuit to monitor the power consumption of each part in real time and transmit it to the smart meter data acquisition module of the server platform; the smart gas meter is installed in the natural gas pipeline of the oxygen-enriched bottom-blown furnace to monitor the natural gas consumption in real time and transmit it to the smart gas meter data acquisition module of the server platform; the metering equipment 2# - 3# for raw materials coke and quartz stone are respectively installed between their raw material bins and the belt conveyor to monitor the usage in real time and transmit it to the metering data acquisition module of the server platform.

[0053] As Figure 2 shown, the server platform includes a natural gas data acquisition module, a power data acquisition module, a metering data acquisition module, a CO2 concentration acquisition module, a flue gas flow rate acquisition module, and a comprehensive carbon dioxide emissions calculation unit. The natural gas data acquisition module, the power data acquisition module, the metering data acquisition module, the CO2 concentration acquisition module, and the flue gas flow rate acquisition module respectively receive the data from the corresponding monitoring equipment in real time and grab the hourly data and transmit it to the comprehensive carbon dioxide emissions calculation unit. The comprehensive carbon dioxide emissions calculation unit integrates the data of the above modules and converts and calculates through a calculation model to obtain the comprehensive carbon dioxide emissions.

[0054] The model constructed by the comprehensive carbon dioxide emissions calculation unit is as follows.

[0055] Q CO2 = Q1 + Q2 + Q3 + Q4

[0056] In the formula:

[0057] Q CO2 is the comprehensive carbon dioxide emission per hour, with the unit of g;

[0058] Q1 is the carbon dioxide emission per hour in the combustion flue gas of the oxygen-enriched bottom-blown furnace, with the unit of g;

[0059] Q2 is the carbon dioxide emission per hour caused by power consumption, with the unit of g;

[0060] Q3 is the carbon dioxide emission per hour caused by natural gas consumption, with the unit of g;

[0061] Q4 is the carbon dioxide emission per hour caused by the consumption of reducing agent (coke) and slag-forming agent (quartzite), with the unit of g.

[0062] Q1 = A i *C i,CO2

[0063] In the formula:

[0064] A i is the flue gas flow rate at the i-th point (whole hour) measured by the flow meter, with the unit of m 3 / h;

[0065] C i,CO2 is the carbon dioxide concentration at the i-th point (whole hour) measured by the carbon dioxide concentration analyzer, with the unit

[0066] being g / m 3 ;

[0067]

[0068] In the formula:

[0069] Scenarios 1 to 4 are the following four situations: the raw material metering equipment workshop of the production line, the enclosed

[0070] belt conveyor equipment, the oxygen-enriched incineration production workshop, and the ingot packaging and warehousing workshop;

[0071] e i is the reading of the smart electricity meter at the i-th point (whole hour), with the unit of kwh;

[0072] e i-1 is the reading of the smart electricity meter at the (i - 1)-th point (whole hour), with the unit of kwh;

[0073] f1 is the CO2 emission coefficient per unit of electricity generation, with the unit of g / kwh.

[0074] Q3 = (n i -n i-1 )*f2

[0075] Wherein:

[0076] n i is the reading of the intelligent gas meter at the i-th (whole point) point, and the unit is m 3 ;

[0077] n i-1 is the reading of the intelligent gas meter at the (i - 1)-th (whole point) point, and the unit is m 3 ;

[0078] f2 is the CO2 emission coefficient per unit of natural gas production, and the unit is g / m 3 .

[0079] Q4 = (h i - h i-1 ) * f3 + (q i - q i-1 ) * f4

[0080] Wherein:

[0081] h i is the reading of the coke meter at the i-th (whole point) point, and the unit is kg;

[0082] h i-1 is the reading of the coke meter at the (i - 1)-th (whole point) point, and the unit is kg;

[0083] f3 is the CO2 emission coefficient per unit of coke production, and the unit is g / kg;

[0084] q i is the reading of the quartz meter at the i-th (whole point) point, and the unit is kg;

[0085] q i-1 is the reading of the quartz meter at the (i - 1)-th (whole point) point, and the unit is kg;

[0086] f4 is the CO2 emission coefficient per unit of quartz production, and the unit is g / kg.

[0087] The comprehensive carbon dioxide emission calculation unit is obtained by integrating the direct carbon dioxide emissions caused by the combustion of the oxy-fuel furnace and the indirect carbon dioxide emissions caused by the consumption of electricity, natural gas, coke, and quartz. In the present invention, the comprehensive carbon dioxide emissions are measured in grams per hour.

[0088] In this model, the CO2 emission factor f1 per unit of electricity generation adopts the national average grid carbon emission factor announced by the state. The latest carbon emission factor is selected, updated according to the actual situation, and input into the server platform. The CO2 emission factor f2 per unit of natural gas extraction, the CO2 emission factor f3 per unit of coke production, and the CO2 emission factor f4 per unit of quartz stone production adopt the corresponding domestic research data and are input into the server platform. The server platform calculates the comprehensive carbon dioxide emissions according to the real-time collected monitoring data and the fixed values of f1, f2, f3, and f4 by the model.

[0089] In summary, an online monitoring system for the life cycle carbon emissions of the WPCB pyrometallurgical recovery of metallic copper according to the embodiments of the present invention can output the sum of the direct carbon emissions and indirect carbon emissions of the pyrometallurgical recovery of metallic copper from waste printed circuit boards online, realizing the online monitoring of the life cycle carbon emissions. The operation method of the present invention is simple and easy to implement.

Claims

1. An online monitoring system for the life cycle carbon emissions of the pyrometallurgical recovery of metallic copper from WPCB, characterized in that, It includes a monitoring device and a server platform; the monitoring device is used to measure the concentration of carbon dioxide, flue gas flow rate, power consumption, fuel consumption, and raw material consumption during the production process, and the server platform is used to receive the data monitored by the monitoring device and convert and calculate to obtain the comprehensive carbon dioxide emissions; it is realized in the following steps in sequence: (1) To obtain the direct carbon dioxide emissions, collect the carbon dioxide concentration and flue gas flow rate discharged from the oxygen-enriched incineration (waste circuit board powder) process and upload them to the server platform; (2) To obtain the indirect carbon dioxide emissions caused by power consumption, collect the power consumption data during the production process, including the electricity consumed in raw material metering and airtight belt conveying, the electricity consumed in the oxygen-enriched incineration process, and the electricity consumed in ingot casting, packaging, and warehousing, and upload them to the server platform; (3) To obtain the indirect carbon dioxide emissions caused by natural gas consumption, collect the natural gas consumption in the oxygen-enriched incineration process and upload it to the server platform; (4) To obtain the indirect carbon dioxide emissions caused by raw material consumption, collect the consumption of reducing agent (coke) and slag-forming agent (quartz stone) and upload them to the server platform; (5) Build a server platform, capture the above monitoring data, and construct an analysis model to calculate the comprehensive carbon dioxide emissions online.

2. The system according to claim 1, characterized in that, In (1), install a carbon dioxide concentration analyzer and a flue gas flowmeter in the oxygen-enriched bottom-blown furnace flue gas pipeline to monitor the carbon dioxide emission concentration and flue gas flow rate in real time, and upload them to the carbon dioxide concentration acquisition module and the flue gas flow rate acquisition module of the server platform.

3. The system according to claim 1, wherein In (2), collect the power consumption data during the production process. Install smart electricity meters in the raw material metering equipment workshop, the airtight belt conveying equipment, the oxygen-enriched incineration production workshop, and the ingot casting, packaging, and warehousing workshop to monitor the readings of the smart electricity meters at the above positions in real time, and upload them to the smart electricity meter data acquisition module of the server platform.

4. The system according to claim 1, wherein In (3), collect the natural gas consumption in the oxygen-enriched incineration process. Install a smart gas meter in the oxygen-enriched bottom-blown furnace natural gas pipeline to monitor the readings of the smart gas meter in real time, and upload them to the smart gas meter data acquisition module of the server platform.

5. The system according to claim 1, characterized in that In (4), collect the raw material consumption during the production process. Set two raw material meters between the raw material bin and the belt conveyor to monitor the consumption of reducing agent (coke) and slag-forming agent (quartz stone) in real time, and upload them to the metering data acquisition module of the server platform.

6. The system according to claim 1, characterized in that, In step (5), build a server platform, embed a carbon dioxide concentration acquisition module, a flue gas flow rate acquisition module, a smart electricity meter data acquisition module, a smart gas meter data acquisition module, and a metering data acquisition module, construct an integrated comprehensive carbon dioxide calculation model, capture the monitoring data every hour, and record at the whole hour; combine the data of the above modules, and through the comprehensive carbon dioxide calculation model, output the hourly comprehensive carbon dioxide emissions (grams / hour) in real time; the formula of the comprehensive carbon dioxide calculation model is as shown in formula (1) - formula (5); Q CO2 = Q1 + Q2 + Q3 + Q4 (1) In the formula: Q CO2 is the comprehensive carbon dioxide emission per hour, with the unit of g; Q1 is the hourly carbon dioxide emissions in the combustion flue gas of the oxygen-enriched bottom-blown furnace, and the unit is g; Q2 is the hourly carbon dioxide emissions caused by power consumption, and the unit is g; Q3 is the hourly carbon dioxide emissions caused by natural gas consumption, in g; Q4 is the hourly carbon dioxide emissions caused by the consumption of reductant (coke) and slag former (quartzite), in g; Q1 = A i *C i,CO2 (2) In the formula: A i is the flue gas flow rate at the i-th point (whole point, time) measured by the flow meter, with the unit of m 3 / h; C i,CO2 is the carbon dioxide concentration at the i-th (hourly) point measured by the carbon dioxide concentration analyzer, with the unit of g / m 3 ; In the formula: Scenarios 1 to 4 are the following four situations: the raw material metering equipment workshop of the production line, the closed belt conveyor equipment location, the oxy-fuel combustion production workshop, and the ingot packaging and warehousing workshop; e i is the smart meter reading at the i-th point (integral point), with the unit of kwh; e i-1 is the smart meter reading at the (integral) (i-1)-th point, with the unit of kwh; f1 is the CO2 emission factor per unit of electricity generation, in g / kwh; Q3 = (n i - n i-1 ) * f2 (4) In the formula: n i is the reading of the intelligent gas meter at the i-th point (integral point), with the unit of m 3 ; n i-1 is the reading of the intelligent gas meter at the (integral) (i - 1)-th point, with the unit of m 3 ; $f_2$ is the CO2 emission coefficient per unit of natural gas production, with the unit of g / m 3 ; Q4 = (h i - h i-1 ) * f3 + (q i - q i-1 ) * f4 (5) In the formula: h i is the reading of the coke metering table at the i-th point (integral point), with the unit of kg; h i-1 is the coke meter reading at the (integral) (i - 1)-th point, with the unit of kg; f3 is the CO2 emission factor per unit of coke production, in g / kg; q i is the reading of the quartz scale for the i-th point (integral point), with the unit of kg; q i-1 is the reading of the quartz scale for the (integral point) (i - 1)th point, with the unit of kg; f4 is the CO2 emission factor per unit of quartzite production, in g / kg.

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