CN115879670A - Method and system for extracting carbon emission of high-power-consumption enterprise - Google Patents
Method and system for extracting carbon emission of high-power-consumption enterprise Download PDFInfo
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Abstract
The invention discloses a method and a system for extracting carbon emission of an enterprise with high power consumption, which relate to the technical field of carbon emission extraction.A marking unit, a verification unit and a first monitoring unit are used for monitoring the carbon emission of the enterprise with high energy consumption, determining the carbon emission and the carbon emission area, and determining the correlation between the carbon emission and the power consumption by setting monitoring points; the second monitoring unit is used for monitoring carbon emission of high-carbon-emission enterprises in the monitoring area, and performing carbon capture and carbon negative treatment on the carbon emission of the enterprises until the carbon emission of the enterprises is lower than a threshold value; the judgment unit judges whether the comprehensive carbon emission of the high-carbon emission enterprise exceeds a threshold value or not after the carbon emission of the enterprise is captured, and improves the power consumption efficiency of the carbon emission enterprise. On the basis of determining a high-carbon-emission enterprise, the carbon emission extraction of the enterprise is completed, on the basis of reducing the energy consumption of the enterprise, the carbon emission of the enterprise is finally close to zero, and on the premise of no pollution, no negative influence is caused on the life of residents.
Description
Technical Field
The invention relates to the technical field of carbon emission extraction, in particular to a method and a system for extracting carbon emission of an enterprise with high power consumption.
Background
After an enterprise obtains its own carbon emission data by compiling a greenhouse gas emission list, the enterprise can be regarded as a zero-carbon enterprise by energy-saving modification and measures for reducing carbon emission by investing greenhouse gas emission reduction items (namely purchasing greenhouse gas emission) externally, so that the carbon emission of the enterprise is zero.
In order to realize zero in some existing enterprises with high energy consumption and high power consumptionThe carbon target, carbon emissions are usually reduced by carbon capture, CCS for carbon capture and sequestration, which is the conversion of CO 2 Separated from industrial or other emission sources such as power plants, enriched, compressed and transported to a specific site, injected into a reservoir for sequestration to achieve captured CO 2 The technology of separating the carbon dioxide from the atmosphere for a long time is difficult, high in economic cost and high in electric power cost, and as a simple substitute, the discharged CO is generally used by many enterprises 2 Passing the gas through a hydroxide liquid or an amine to cause CO 2 Is absorbed, thereby reducing the carbon emission.
However, in the existing method for extracting carbon emission of an enterprise with high power consumption, since only the total carbon emission of the enterprise is considered, it is difficult to identify a real enterprise with high energy consumption, and during carbon extraction, the overall carbon emission of an area may not be reduced, that is, an actual emission reduction effect may not be achieved.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides a method and a system for extracting carbon emission of an enterprise with high power consumption, wherein a marking unit, a verification unit and a first monitoring unit are arranged to monitor the carbon emission of the enterprise with high energy consumption, the carbon emission and the carbon emission area are determined, and the correlation between the carbon emission and the power consumption is determined by setting monitoring points; the second monitoring unit is used for monitoring carbon emission of high-carbon-emission enterprises in the monitoring area, and performing carbon capture and carbon negative treatment on the carbon emission of the enterprises until the carbon emission of the enterprises is lower than a threshold value; the comprehensive carbon emission of high-carbon emission enterprises is judged whether to exceed a threshold value or not after the carbon emission of the enterprises is collected by the judgment unit, and the power consumption efficiency of the carbon emission enterprises is improved. On the basis of determining the high-carbon-emission enterprise, the extraction of the carbon emission of the enterprise is completed, on the basis of reducing the energy consumption of the enterprise, the carbon emission of the enterprise is finally close to zero, and the problems in the background art are solved.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme: the method for extracting the carbon emission of the high-power-consumption enterprise comprises the following steps: step one, acquiring a carbon emission extraction area range, marking the carbon emission extraction area range on an electronic map, determining power consuming enterprises in the area, and determining high power consuming enterprises after detection; the first step comprises the following steps: step 101, determining a monitoring area for extracting carbon emission and the position of a power consumption enterprise in the area, establishing an electronic map aiming at the monitoring area, and marking the position of the enterprise on the electronic map; step 102, marking power transmission lines in a monitoring area on an electronic map, marking each power transmission node, and setting power consumption statistical equipment at the nodes; step 103, periodically monitoring the power consumption of each enterprise, establishing a power consumption data set, uploading the power consumption data set to a cloud, and judging the power consumption trend of the enterprise; 104, determining the average power consumption and the highest power consumption of each enterprise in the last three periods, respectively comparing the average power consumption and the highest power consumption with corresponding threshold values, judging whether at least one exceeding threshold value exists, and if so, determining the enterprise as power-consuming enterprise; acquiring all power consumption enterprise lists, uploading the lists to a cloud and outputting the lists;
secondly, acquiring the ratio of energy consumption to revenue based on the main business of the enterprise, distinguishing low-power-consumption-efficiency enterprises from high-power-consumption enterprises, and marking the low-power-consumption-efficiency enterprises; monitoring carbon emission of high-energy-consumption enterprises, determining carbon emission and carbon emission areas, and determining the correlation between the carbon emission and the power consumption by setting monitoring points; monitoring carbon emission of high-carbon-emission enterprises in the monitoring area, and performing carbon capture and carbon negative treatment on the carbon emission of the enterprises until the carbon emission of the enterprises is lower than a threshold value; and step five, after the carbon emission of the enterprises is collected, judging whether the comprehensive carbon emission of the high-carbon emission enterprises still exceeds a threshold value, and if so, taking measures according to the correlation between the carbon emission and the power consumption, so that the power consumption efficiency of the carbon emission enterprises is improved.
Further, the second step includes the following steps: step 201, obtaining a list of high power consuming enterprises, retrieving main business and corresponding revenue of each high power consuming enterprise, obtaining a ratio of energy consumption to revenue, and determining the ratio as an energy consumption revenue ratio; step 202, comparing the energy consumption revenue ratio with a corresponding threshold value, judging whether the energy consumption revenue ratio exceeds the threshold value, if so, determining low-electricity-consumption-efficiency enterprises from the energy-consumption enterprises exceeding the threshold value, and outputting a low-electricity-consumption-efficiency enterprise list; and step 203, acquiring a low power consumption efficiency enterprise list, and marking on the electronic map.
Further, the third step includes the following steps: 301, acquiring the position of an enterprise with low power consumption efficiency from an electronic map, establishing a classifier by combining energy consumption revenue ratios, dividing a monitoring area into a plurality of areas, and determining the average value of the energy consumption revenue ratios of the areas; step 302, establishing a path planning model, planning a routing inspection path by combining the average value of the energy consumption revenue ratios of all the areas, carrying carbon dioxide detection equipment by the unmanned aerial vehicle, detecting the carbon dioxide concentration of all the areas, acquiring the carbon dioxide concentration data of all the areas, and uploading the carbon dioxide concentration data to the cloud.
Further, step 302 is followed by: 303, acquiring carbon dioxide concentration data of each area, sequencing according to the concentration of the carbon dioxide, and determining a statistical sequence of carbon emission of each low power consumption efficiency enterprise in the monitoring area by combining a path planning model; calculating and counting the carbon emission of the enterprises, and determining the carbon emission of the enterprises in each area; and calculating a correlation coefficient between the power consumption and carbon emission data of the low power consumption efficiency enterprises based on the power consumption and carbon emission data of a plurality of low power consumption efficiency enterprises in the monitoring area.
Further, step 303 is followed by: 304, sequentially deconstructing the operation ranges with low power consumption efficiency according to the statistical sequence, determining the business income and corresponding carbon discharge capacity of the operation ranges related to the carbon discharge business, and calculating to obtain a business carbon ratio; 305, acquiring the operating carbon ratio of each enterprise, comparing the operating carbon ratio with a corresponding threshold, determining a part below the threshold, and determining a part above the threshold where the total carbon emission of the enterprise exceeds the threshold; and determining a list of high-carbon-emission enterprises by the enterprises with the carbon ratio lower than the threshold and the carbon emission exceeding the threshold, and uploading the list to the cloud.
Further, the fourth step includes the following steps: step 401, an unmanned aerial vehicle carrying a carbon detection device is used for polling a plant area of a high-carbon-emission enterprise, and according to whether the content is abnormal or not, if an abnormal point exists, the carbon emission point of the enterprise is determined, and the position of the emission point is marked on an electronic map; step 402, arranging a heat recovery system at a carbon emission point, and enabling the carbon-containing gas of the enterprise to pass through the heat recovery system, recovering heat and reducing the temperature of the emitted gas; installing a carbon trapping system at a carbon emission point, trapping the carbon-containing gas exhausted from the heat recovery system, transversely discharging the carbon-containing gas after the carbon-containing gas is absorbed by hydroxide solution to finish primary carbon trapping, and counting the carbon trapping amount; and detecting the carbon content of the trapped carbon-containing gas, and giving an alarm under the condition that the carbon content exceeds a corresponding threshold value.
Further, step 402 is followed by: step 403, discharging the carbonaceous gas laterally to the unmanned area at the gas exhaust from the carbon capture system; acquiring the state data of the discharged gas such as the temperature, the speed, the concentration and the discharge amount of the discharged carbon-containing gas, establishing a gas discharge model, performing simulation on the flow of the carbon-containing gas to form a simulation result, and determining the flow rule of the carbon-containing gas; establishing a diffusion model of the carbon-containing gas based on the gas state data, and performing simulation analysis on the diffusion of the carbon-containing gas; and according to the simulation analysis result, a high carbon-containing region is defined in the carbon-containing gas diffusion region in cooperation with the set carbon content threshold of the carbon-containing gas.
Further, step 403 is followed by: step 404, arranging a plurality of groups of carbon content detectors in the high carbon-containing area, and limiting the high carbon-containing area to a safe area and an unsafe area according to a safe threshold value; planting carbon-absorbing plants from the inside to the periphery of the safe area gradually, wherein the planting amount of the carbon-absorbing plants corresponds to the carbon content in the exhaust gas; and arranging a gas flow guiding device, such as a fan ventilator or the like, in the unsafe area, guiding the carbon-containing gas in the unsafe area to the safe area, and densely planting shrubs or vines in the unsafe area to block other people from approaching and adsorbing or enriching the carbon-containing gas.
Further, the fifth step includes the following steps: step 501, after a plurality of cycles, detecting the carbon content in the air of the peripheral area of a high-carbon emission enterprise, and judging whether the content exceeds a corresponding threshold value; if so, an alarm is given; step 502, recalculating the current total carbon emission of the enterprise, and if the total carbon emission of the enterprise is lower than a threshold value, recording the total carbon emission of the enterprise as a high carbon emission enterprise; if the power consumption is higher than the threshold value, carrying out statistics on fossil energy consumption and actual power consumption of the high-carbon emission enterprises, and outputting a statistical result; step 503, obtaining a statistical result, if the fossil energy consumption exceeds a threshold value, increasing an electric energy ratio, replacing fossil energy with electric energy, and reducing direct carbon emission; if the fossil energy consumption does not exceed the threshold, reducing the electric energy ratio and guiding the enterprise to improve the power consumption efficiency; finally, the power supply quantity of the power system is increased, the consumption of fossil energy is reduced, and the direct increase of carbon emission is reduced.
High power consumption enterprise carbon emission extraction system includes: the method comprises the steps of obtaining a carbon emission extraction area range, marking the carbon emission extraction area range on an electronic map, determining power consumption enterprises located in the area, and determining the enterprises with high power consumption after detection; the verification unit acquires the ratio of energy consumption to revenue and differentiates enterprises with low electric consumption efficiency from enterprises with high electric consumption and marks the enterprises with low electric consumption efficiency; the first monitoring unit is used for monitoring the carbon emission of the high-energy-consumption enterprise, determining the carbon emission and the carbon emission area, and determining the correlation between the carbon emission and the power consumption by setting monitoring points; the second monitoring unit is used for monitoring carbon emission of high-carbon-emission enterprises in the monitoring area, and performing carbon capture and carbon negative treatment on the carbon emission of the enterprises until the carbon emission of the enterprises is lower than a threshold value; the method comprises the steps that after the carbon emission of an enterprise is collected, whether the comprehensive carbon emission of the enterprise with high carbon emission still exceeds a threshold value is judged, if yes, measures are taken according to the relevance of the carbon emission and the power consumption, and the power consumption efficiency of the enterprise with the carbon emission is improved.
(III) advantageous effects
The invention provides an extraction method and an extraction system for carbon emission of an enterprise with high power consumption, which have the following beneficial effects:
high power consumption enterprises are determined in the monitoring area, the preferential detection target can be determined when carbon emission detection is carried out, the detection efficiency is accelerated, real enterprises with low productivity and high carbon emission are selected from a plurality of enterprises through judgment of main business and actual power consumption of the enterprises, and the difficulty of carbon emission extraction or trapping is reduced.
The path planning model established based on the path planning algorithm reduces the difficulty of carbon emission detection of enterprises, and further analysis is performed on each enterprise with low power consumption efficiency, so that potential enterprises with large carbon emission are determined, the workload is reduced, and the difficulty of carbon extraction or carbon capture is reduced.
Through setting up heat recovery system, carbon entrapment system and establishing the gas diffusion model and taking the burden carbon measure, through the mutually supporting of multiple means, on the basis of confirming high carbon discharge volume enterprise, accomplish the carbon discharge volume of enterprise and draw, because mutually supporting between heat recovery system, carbon entrapment system and the burden carbon measure of getting, on the basis that reduces the energy consumption of enterprise, make the carbon discharge volume of enterprise finally be close to zero, accomplish zero carbon of enterprise. By distinguishing the safe region and the unsafe region, the carbon emission of an enterprise is safe on the premise of no pollution, and the negative influence on the life of residents is avoided.
Carbon capture measures are taken in high-carbon emission enterprises, after carbon in the carbon-containing gas is extracted, whether effects exist in the extraction is judged, if the effects do not reach the standard, the enterprises are guided to replace the carbon emission with relatively low electric energy, the carbon emission is reduced, and the pressure of carbon capture is also reduced.
Drawings
FIG. 1 is a schematic flow chart of a method for extracting carbon emission of a high-power-consumption enterprise according to the present invention;
FIG. 2 is a schematic diagram of a carbon emission extraction system of a high power consumption enterprise according to the present invention;
in the figure: 10. a marking unit; 20. a verification unit; 30. a first monitoring unit; 40. a second monitoring unit; 50. and a judging unit.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
Referring to fig. 1-2, the present invention provides a method for extracting carbon emission of an enterprise with high power consumption, including the following steps:
step one, acquiring a carbon emission extraction area range, marking the carbon emission extraction area range on an electronic map, determining power consumption enterprises in the area, and determining the enterprises with high power consumption after detection;
the first step comprises the following steps:
step 101, determining a monitoring area for extracting carbon emission and the position of a power consumption enterprise in the area, establishing an electronic map aiming at the monitoring area, and marking the position of the enterprise on the electronic map; thereby increasing the visualization effect and being displayed more intuitively;
step 102, marking power transmission lines in a monitoring area on an electronic map, marking each power transmission node, and arranging power consumption statistical equipment at the nodes; therefore, power consumption of enterprises can be counted, power transmission nodes are determined, and power supply of each enterprise can be adjusted conveniently;
step 103, periodically monitoring the power consumption of each enterprise, establishing a power consumption data set, and uploading the power consumption data set to a cloud; when the power consumption data set contains more data, the power consumption of the enterprise in the next period (such as one week or one month) can be predicted, and the power consumption trend of the enterprise can be judged, so that the power supply amount of the enterprise can be correspondingly adjusted;
step 104, determining the average power consumption and the highest power consumption of each enterprise in the last three periods (for example, one period is one month), comparing the average power consumption and the highest power consumption with corresponding thresholds respectively, judging whether at least one exceeding threshold exists, and if so, determining the enterprise as power-consuming enterprise;
acquiring all power consumption enterprise lists, uploading the lists to a cloud and outputting the lists; when the enterprise monitoring system is used, power consumption enterprises are determined from a plurality of enterprises in a monitoring area by counting the power consumption of the enterprises in the last three months.
In use, in conjunction with the contents of steps 101 to 104: through the monitoring area who confirms carbon emission, follow the high power consumptive enterprise of a plurality of determining in the monitoring area to when carrying out carbon emission and detecting, determine the priority detection target, under limited condition, accelerate the efficiency that detects, reduce the carbon discharge capacity on regional whole fast.
Secondly, acquiring the ratio of energy consumption to revenue based on the main business of the enterprise, distinguishing low-power-consumption-efficiency enterprises from high-power-consumption enterprises, and marking the low-power-consumption-efficiency enterprises; the second step comprises the following contents:
step 201, obtaining a list of high power consuming enterprises, retrieving main business and corresponding revenue of each high power consuming enterprise, obtaining a ratio of energy consumption to revenue, and determining the ratio as an energy consumption revenue ratio;
step 202, comparing the energy consumption revenue ratio with a corresponding threshold value, judging whether the energy consumption revenue ratio exceeds the threshold value, if so, determining low-electricity-consumption-efficiency enterprises from the energy-consumption enterprises exceeding the threshold value, and outputting a low-electricity-consumption-efficiency enterprise list;
when the system is used, low-power-consumption enterprises are determined, and when high-energy-consumption low-capacity enterprises are processed, the target range is further narrowed, a plurality of enterprises may have businesses with huge energy consumption and huge carbon emission of business projects, but the businesses have less actual income for a long time and low profit, the technical level of the businesses is usually not high, and the businesses need to be cleaned;
and step 203, acquiring a low power consumption efficiency enterprise list, and marking on the electronic map.
In use, in conjunction with the contents of steps 201 to 203: by judging the main business and the actual power consumption of the enterprise, the real enterprise with low productivity, high carbon emission and high energy consumption can be selected from a plurality of enterprises, and the difficulty of extracting or collecting the carbon emission is reduced.
Monitoring carbon emission of high-energy-consumption enterprises, determining carbon emission and carbon emission areas, and determining the correlation between the carbon emission and the power consumption by setting monitoring points;
301, acquiring the position of an enterprise with low power consumption efficiency from an electronic map, establishing a classifier by combining energy consumption revenue ratios, dividing a monitoring area into a plurality of areas, and determining the average value of the energy consumption revenue ratios of the areas; the division of the monitoring area can judge whether the high-energy-consumption enterprise is in a state;
step 302, establishing a path planning model, planning a routing inspection path by combining the average value of the energy consumption revenue ratios of all the areas, detecting the carbon dioxide concentration of all the areas by using an unmanned aerial vehicle carrying carbon dioxide detection equipment, acquiring the carbon dioxide concentration data of all the areas, and uploading the carbon dioxide concentration data to a cloud; after the carbon dioxide concentration of each divided region is obtained, the carbon emission of each region can be roughly judged based on the difference of the carbon dioxide concentration;
step 303, acquiring carbon dioxide concentration data of each area, sequencing according to the concentration of the carbon dioxide, and determining a statistical sequence of carbon emission of each low power consumption efficiency enterprise in the monitoring area by combining a path planning model;
calculating and counting the carbon emission of the enterprises, and determining the carbon emission of the enterprises in each area;
and calculating a correlation coefficient between the power consumption and carbon emission data of the low power consumption efficiency enterprises based on the power consumption and carbon emission data of a plurality of low power consumption efficiency enterprises in the monitoring area.
During the use, through judging the relevance of the carbon emission and the power consumption of each low power consumption efficiency enterprise in proper order and confirming the correlation coefficient, when the carbon emission of enterprise needs to be adjusted, the power supply volume of enterprise that can be pertinence is adjusted to cause direct influence to the carbon emission of low power consumption efficiency enterprise.
Step 304, according to the statistical sequence, sequentially deconstructing the operation ranges with low power consumption efficiency, determining the business income and corresponding carbon discharge capacity of the operation ranges related to the carbon discharge business, and calculating to obtain the operation carbon ratio;
step 305, acquiring the operating carbon ratio of each enterprise and comparing the operating carbon ratio with a corresponding threshold value, determining a part of the operating carbon ratio, which is lower than the threshold value, namely the enterprise with relatively less operating income and larger carbon emission, and further determining a part of the operating carbon ratio (not part of main operating business) of the enterprise exceeding the threshold value;
and determining a list of high-carbon-emission enterprises by the enterprises with the carbon ratio lower than the threshold and the carbon emission exceeding the threshold, and uploading the list to the cloud.
And combining the steps 304 to 305, further analyzing the business revenue and carbon emission of the low power consumption efficiency enterprise, and further accurately determining the high carbon emission enterprise to reduce the difficulty of extracting the carbon emission of the enterprise under the cooperation of the power system.
In use, in conjunction with the contents of steps 301 to 305: through the path planning model based on path planning algorithm is established to reduce the degree of difficulty that carries out carbon emission to each enterprise and detect, simultaneously through making further analysis to each low power consumption efficiency enterprise, thereby make clear and determine the great potential enterprise of carbon emission wherein, reduce work load, reduce the degree of difficulty that carbon drawed or carbon entrapment, through the pertinence relativity that acquires carbon emission and power consumption moreover, form the strategy of adjustment enterprise carbon emission.
Monitoring carbon emission of high-carbon-emission enterprises in the monitoring area, and performing carbon capture and carbon negative treatment on the carbon emission of the enterprises until the carbon emission of the enterprises is lower than a threshold value; the fourth step comprises the following steps:
step 401, an unmanned aerial vehicle carrying a carbon detection device is used for polling a plant area of a high-carbon-emission enterprise, and according to whether the content is abnormal or not, if an abnormal point exists, the carbon emission point of the enterprise is determined, and the position of the emission point is marked on an electronic map; considering that an enterprise usually hides an emission point when performing carbon emission, the enterprise needs to detect by itself to find and judge the carbon emission point.
Step 402, arranging a heat recovery system at a carbon emission point, and enabling the carbon-containing gas of the enterprise to pass through the heat recovery system, recovering heat and reducing the temperature of the emitted gas;
installing a carbon trapping system at a carbon emission point, trapping the carbon-containing gas exhausted from the heat recovery system, transversely discharging the carbon-containing gas after the carbon-containing gas is absorbed by hydroxide solution to finish primary carbon trapping, and counting the carbon trapping amount;
and detecting the carbon content of the trapped carbon-containing gas, and giving an alarm under the condition that the carbon content exceeds a corresponding threshold value.
During the use, after the emission point of having confirmed high carbon discharge volume enterprise, set up heat recovery system and carbon entrapment system, can preferentially retrieve the heat in the carbon-containing gas, reduce the actual energy consumption of high carbon discharge volume enterprise, if the heat of these recoveries can effectual participation to the production process, then can reduce, after heat recovery, continue to carry out the carbon entrapment to the carbon-containing gas by emission point exhaust to this flow when tentatively accomplishing carbon and drawing.
Step 403, discharging the carbon-containing gas transversely to the unmanned area at the gas discharge position from the carbon capture system;
acquiring the state data of the discharged gas such as the temperature, the speed, the concentration and the discharge amount of the discharged carbon-containing gas, establishing a gas discharge model, performing simulation on the flow of the carbon-containing gas to form a simulation result, and determining the flow rule of the carbon-containing gas;
establishing a diffusion model of the carbon-containing gas based on the gas state data, and carrying out simulation analysis on the diffusion of the carbon-containing gas;
and according to the simulation analysis result, a high carbon-containing region is defined in the carbon-containing gas diffusion region in cooperation with the set carbon content threshold of the carbon-containing gas.
When the carbon-containing gas is used, after the carbon capture of the carbon-containing gas is finished, a certain amount of carbon still exists in the treated gas due to the efficiency limit and the capacity limit of the carbon capture system, so that the part of carbon needs to be treated, and the zero-carbon treatment is realized as far as possible; and positioning of the diffusion of the flow of the carbonaceous gas is also facilitated by determining a diffusion model for the carbonaceous gas.
Step 404, arranging a plurality of groups of carbon content detectors in the high carbon-containing area, and limiting the high carbon-containing area to a safe area and an unsafe area according to a safe threshold value;
planting carbon-absorbing plants from the inside to the periphery of the safe area gradually, wherein the planting amount of the carbon-absorbing plants corresponds to the carbon content in the exhaust gas; the planting amount is adjusted according to the carbon absorption amount of the carbon absorption plants, and finally the total carbon absorption amount of the carbon absorption plants corresponds to the carbon emission amount in the carbon-containing gas;
and arranging a gas flow guiding device, such as a fan ventilator or the like, in the unsafe area, guiding the carbon-containing gas in the unsafe area to the safe area, and densely planting shrubs or vines in the unsafe area to block other people from approaching and adsorbing or enriching the carbon-containing gas.
When the method is used, after the diffusion model of the carbon-containing gas is determined in step 403, a safe area and an unsafe area are defined according to the determined diffusion area, negative carbon measures and safe measures are taken in a targeted manner, and carbon capture is performed in the next step in a form of carbon recovered by a seed tree, so that the carbon emission of an enterprise is reduced.
During the use, combine the content in step 401 to 404, through setting up heat recovery system, carbon capture system and establishing the gas diffusion model and taking the burden carbon measure, through the mutual cooperation of multiple means, on the basis of having confirmed high carbon discharge volume enterprise, accomplish the extraction of enterprise's carbon discharge volume, owing to set up heat recovery system, carbon capture system and get and mutually support between the burden carbon measure, on the basis of reducing the energy consumption of enterprise, carry out carbon capture and extract, make the carbon discharge volume of enterprise finally be close to zero, accomplish zero carbon of enterprise. Furthermore, by distinguishing a safe area and an unsafe area, carbon emission of an enterprise can be safe on the premise of no pollution, and the life of residents is not influenced.
Step five, after the carbon emission of the enterprises is collected, judging whether the comprehensive carbon emission of the high-carbon emission enterprises still exceeds a threshold value, if so, taking measures according to the correlation between the carbon emission and the power consumption, and improving the power consumption efficiency of the carbon emission enterprises;
the fifth step comprises the following steps:
step 501, after a plurality of cycles, detecting the carbon content in the air of the peripheral area of the high-carbon-emission enterprise, judging whether the content exceeds a corresponding threshold value, and if not, indicating that the carbon emission is reduced by a user or the adopted carbon capture has an obvious effect; if yes, an alarm is given;
step 502, recalculating the current total carbon emission of the enterprise, and if the total carbon emission of the enterprise is lower than a threshold value, recording the total carbon emission of the enterprise as a high carbon emission enterprise; if the power consumption is higher than the threshold value, carrying out statistics on fossil energy consumption and actual power consumption of the high-carbon emission enterprises, and outputting a statistical result;
step 503, obtaining a statistical result, if the fossil energy consumption exceeds a threshold value, increasing an electric energy ratio, replacing fossil energy with electric energy, and reducing direct carbon emission;
if the fossil energy consumption does not exceed the threshold, reducing the electric energy ratio and guiding the enterprise to improve the power consumption efficiency; finally, the power supply quantity of the power system is increased, the consumption of fossil energy is reduced, and the direct increase of carbon emission is reduced.
When the device is used, in combination with the content in the steps 501 to 503, a carbon trapping measure is taken by a high-carbon-emission enterprise, after carbon in carbon-containing gas is extracted, whether the effect exists in the extraction is judged, if the effect does not reach the standard, a further measure is taken, the enterprise is guided to replace the carbon emission with electric energy with relatively low carbon emission, the carbon emission is reduced, and the pressure of carbon trapping is also reduced.
In combination with the contents of steps 1 to 5, at least the following effects exist in the present application:
high power consumption enterprises are determined in the monitoring area, the preferential detection target can be determined when carbon emission detection is carried out, the detection efficiency is accelerated, real enterprises with low productivity and high carbon emission are selected from a plurality of enterprises through judgment of main business and actual power consumption of the enterprises, and the difficulty of carbon emission extraction or trapping is reduced.
The path planning model established based on the path planning algorithm reduces the difficulty of carbon emission detection of enterprises, and further analysis is performed on each enterprise with low power consumption efficiency, so that potential enterprises with large carbon emission are determined, the workload is reduced, and the difficulty of carbon extraction or carbon capture is reduced.
Through setting up heat recovery system, carbon entrapment system and establishing the gas diffusion model and taking the burden carbon measure, through the mutually supporting of multiple means, on the basis of confirming high carbon discharge volume enterprise, accomplish the carbon discharge volume of enterprise and draw, because mutually supporting between heat recovery system, carbon entrapment system and the burden carbon measure of getting, on the basis that reduces the energy consumption of enterprise, make the carbon discharge volume of enterprise finally be close to zero, accomplish zero carbon of enterprise. By distinguishing the safe region and the unsafe region, the carbon emission of an enterprise is safe on the premise of no pollution, and the negative influence on the life of residents is avoided.
Carbon capture measures are taken in high-carbon emission enterprises, after carbon in the carbon-containing gas is extracted, whether effects exist in the extraction is judged, if the effects do not reach the standard, the enterprises are guided to replace the carbon emission with relatively low electric energy, the carbon emission is reduced, and the pressure of carbon capture is also reduced.
Example 2
Referring to fig. 1-2, the present invention provides a system for extracting carbon emission of an enterprise with high power consumption, comprising:
the marking unit 10 is used for obtaining a carbon emission extraction area range, marking the carbon emission extraction area range on an electronic map, determining power consuming enterprises in the area, and determining high power consuming enterprises after detection;
the verification unit 20 acquires the ratio of energy consumption to revenue, distinguishes enterprises with low electric consumption efficiency from enterprises with high electric consumption, and marks the enterprises with low electric consumption efficiency;
the first monitoring unit 30 is used for monitoring carbon emission of high-energy-consumption enterprises, determining carbon emission and carbon emission areas, and determining the correlation between the carbon emission and power consumption by setting monitoring points;
the second monitoring unit 40 is used for monitoring carbon emission of high-carbon-emission enterprises in a monitoring area, and performing carbon capture and carbon negative treatment on the carbon emission of the enterprises until the carbon emission of the enterprises is lower than a threshold value;
the judgment unit 50 judges whether the comprehensive carbon emission of the high-carbon emission enterprise still exceeds a threshold value after the carbon emission of the enterprise is collected, and if the comprehensive carbon emission of the high-carbon emission enterprise still exceeds the threshold value, measures are taken according to the correlation between the carbon emission and the power consumption, so that the power consumption efficiency of the carbon emission enterprise is improved.
The above-described embodiments may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. The procedures or functions according to the embodiments of the present application are wholly or partially generated when the computer instructions or the computer program are loaded or executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on a computer readable storage medium or transmitted from one computer readable storage medium to another computer readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wire (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more collections of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a solid state disk.
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.
It can be clearly understood by those skilled in the art that, for convenience and simplicity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units, the division of the logic functions of the underwater topography change analysis system and method for the carbon emission extraction method and extraction system for the high-power-consumption enterprise, may be implemented in other ways, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one position, or may be distributed on multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above description is only for the specific embodiments of the present application, but the 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 of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
And finally: the above description is only a preferred embodiment of the present invention, and should not be taken as limiting the invention, and any modifications, equivalents, and improvements made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The method for extracting the carbon emission of the high-power-consumption enterprise is characterized by comprising the following steps: the method comprises the following steps:
step one, acquiring a carbon emission extraction area range, marking the carbon emission extraction area range on an electronic map, determining power consumption enterprises in the area, and determining the enterprises with high power consumption after detection; the first step comprises the following steps:
step 101, determining a monitoring area for extracting carbon emission and the position of a power consumption enterprise in the area, establishing an electronic map aiming at the monitoring area, and marking the position of the enterprise on the electronic map;
step 102, marking power transmission lines in a monitoring area on an electronic map, marking each power transmission node, and arranging power consumption statistical equipment at the nodes;
step 103, periodically monitoring the power consumption of each enterprise, establishing a power consumption data set, uploading the power consumption data set to a cloud, and judging the power consumption trend of the enterprise;
104, determining the average power consumption and the highest power consumption of each enterprise in the last three periods, respectively comparing the average power consumption and the highest power consumption with corresponding threshold values, judging whether at least one exceeding threshold value exists, and if so, determining the enterprise as power-consuming enterprise; acquiring all power consumption enterprise lists, uploading the lists to a cloud and outputting the lists;
step two, based on the main business of the enterprise, obtaining the ratio of energy consumption to revenue and earning, distinguishing enterprises with low electric consumption efficiency from enterprises with high electric consumption, and marking the enterprises with low electric consumption efficiency;
step three, monitoring the carbon emission of the high-energy-consumption enterprise, determining the carbon emission and the carbon emission area, and determining the correlation between the carbon emission and the power consumption by setting monitoring points;
monitoring carbon emission of enterprises with high carbon emission in the monitoring area, and performing carbon capture and carbon negative treatment on the carbon emission of the enterprises until the carbon emission of the enterprises is lower than a threshold value;
and step five, after the carbon emission of the enterprises is collected, judging whether the comprehensive carbon emission of the high-carbon emission enterprises still exceeds a threshold value, and if so, taking measures according to the correlation between the carbon emission and the power consumption, so that the power consumption efficiency of the carbon emission enterprises is improved.
2. The method for extracting carbon emission of a high power consumption enterprise according to claim 1, wherein: the second step comprises the following steps:
step 201, obtaining a list of high power consuming enterprises, retrieving main business and corresponding revenue of each high power consuming enterprise, obtaining a ratio of energy consumption to revenue, and determining the ratio as an energy consumption revenue ratio;
step 202, comparing the energy consumption operation-to-yield ratio with a corresponding threshold value, judging whether the energy consumption operation-to-yield ratio exceeds the threshold value, if so, determining the low-electricity-consumption-efficiency enterprises for the energy-consumption enterprises exceeding the threshold value, and outputting a low-electricity-consumption-efficiency enterprise list;
and step 203, acquiring a low power consumption efficiency enterprise list, and marking on the electronic map.
3. The method for extracting carbon emission of a high power consumption enterprise according to claim 1, wherein: the third step comprises the following steps:
step 301, acquiring the position of an enterprise with low power consumption efficiency from an electronic map, establishing a classifier by combining energy consumption ratios, dividing a monitoring area into a plurality of areas, and determining the average value of the energy consumption ratios of the areas;
step 302, establishing a path planning model, planning a routing inspection path by combining the average value of the energy consumption revenue ratios of all the areas, carrying carbon dioxide detection equipment by the unmanned aerial vehicle, detecting the carbon dioxide concentration of all the areas, acquiring the carbon dioxide concentration data of all the areas, and uploading the carbon dioxide concentration data to the cloud.
4. The method for extracting carbon emission of a high power consumption enterprise according to claim 3, wherein: step 302 is followed by:
303, acquiring carbon dioxide concentration data of each area, sequencing according to the concentration of the carbon dioxide, and determining a statistical sequence of carbon emission of each low power consumption efficiency enterprise in the monitoring area by combining a path planning model;
calculating and counting the carbon emission of the enterprises, and determining the carbon emission of the enterprises in each area;
and calculating a correlation coefficient between the power consumption and carbon emission data of the low power consumption efficiency enterprises based on the power consumption and carbon emission data of a plurality of low power consumption efficiency enterprises in the monitoring area.
5. The method for extracting carbon emission of the high power consumption enterprise according to claim 4, wherein: step 303 is followed by:
304, sequentially deconstructing the operation ranges with low power consumption efficiency according to the statistical sequence, determining the business income and corresponding carbon discharge capacity of the operation ranges related to the carbon discharge business, and calculating to obtain a business carbon ratio;
step 305, acquiring the nutrient carbon ratio of each enterprise, comparing the nutrient carbon ratio with a corresponding threshold, determining a part of the nutrient carbon ratio which is lower than the threshold, and determining a part of the nutrient carbon ratio which is higher than the threshold;
and determining a list of enterprises with high carbon emission by enterprises with the carbon-to-carbon ratio lower than a threshold and the carbon emission exceeding the threshold, and uploading the list to the cloud.
6. The method for extracting carbon emission of a high power consumption enterprise according to claim 1, wherein: the fourth step comprises the following steps:
step 401, an unmanned aerial vehicle carrying a carbon detection device is used for polling a factory area of a high-carbon emission enterprise, and if an abnormal point exists, determining a carbon emission point of the enterprise according to whether the content is abnormal, and marking the position of the emission point on an electronic map;
step 402, arranging a heat recovery system at a carbon emission point, and enabling the carbon-containing gas of the enterprise to pass through the heat recovery system, recovering heat and reducing the temperature of the emitted gas;
installing a carbon trapping system at a carbon emission point, trapping the carbon-containing gas exhausted from the heat recovery system, transversely removing the carbon-containing gas after the carbon-containing gas is absorbed by hydroxide solution to finish primary carbon trapping, and counting the carbon trapping amount;
and detecting the carbon content of the trapped carbon-containing gas, and giving an alarm under the condition that the carbon content exceeds a corresponding threshold value.
7. The method for extracting carbon emission of a high power consumption enterprise according to claim 1, wherein: step 402 is followed by:
step 403, discharging the carbon-containing gas transversely to the unmanned area at the gas discharge position from the carbon capture system;
acquiring the state data of the discharged gas such as the temperature, the speed, the concentration and the discharge amount of the discharged carbon-containing gas, establishing a gas discharge model, performing simulation on the flow of the carbon-containing gas to form a simulation result, and determining the flow rule of the carbon-containing gas;
establishing a diffusion model of the carbon-containing gas based on the gas state data, and performing simulation analysis on the diffusion of the carbon-containing gas;
and according to the simulation analysis result, a high carbon-containing region is defined in the carbon-containing gas diffusion region in cooperation with the set carbon content threshold of the carbon-containing gas.
8. The method for extracting carbon emission of a high power consumption enterprise according to claim 1, wherein: step 403 is followed by:
step 404, arranging a plurality of groups of carbon content detectors in the high carbon-containing area, and limiting the high carbon-containing area to a safe area and an unsafe area according to a safe threshold value;
planting carbon-absorbing plants from the inside to the outside gradually in the safe area, wherein the planting amount of the carbon-absorbing plants corresponds to the carbon content in the exhaust gas;
and arranging a gas flow guiding device, such as a fan ventilator or the like, in the unsafe area, guiding the carbon-containing gas in the unsafe area to the safe area, and densely planting shrubs or vines in the unsafe area to block other people from approaching and adsorbing or enriching the carbon-containing gas.
9. The method for extracting carbon emission of a high power consumption enterprise according to claim 1, wherein: the fifth step comprises the following steps:
step 501, after a plurality of cycles, detecting the carbon content in the air of the peripheral area of a high-carbon emission enterprise, and judging whether the content exceeds a corresponding threshold value; if so, an alarm is given;
step 502, recalculating the current total carbon emission of the enterprise, and if the total carbon emission of the enterprise is lower than a threshold value, recording the total carbon emission of the enterprise as a high carbon emission enterprise; if the power consumption is higher than the threshold value, carrying out statistics on fossil energy consumption and actual power consumption of the high-carbon emission enterprises, and outputting a statistical result;
step 503, obtaining a statistical result, if the fossil energy consumption exceeds a threshold value, increasing an electric energy ratio, replacing fossil energy with electric energy, and reducing direct carbon emission;
if the fossil energy consumption does not exceed the threshold, reducing the electric energy ratio and guiding the enterprise to improve the power consumption efficiency; finally, the power supply quantity of the power system is increased, the consumption of fossil energy is reduced, and the direct increase of carbon emission is reduced.
10. High power consumption enterprise carbon discharge capacity extraction system, its characterized in that: the method comprises the following steps:
the carbon emission extraction method comprises the steps that a marking unit (10) obtains a range of a carbon emission extraction area, marks the range on an electronic map, determines power-consuming enterprises located in the area, and determines the high-power-consumption enterprises after detection;
the verification unit (20) acquires the ratio of energy consumption to revenue and distinguishes low-power-consumption-efficiency enterprises from high-power-consumption enterprises and marks the low-power-consumption-efficiency enterprises;
the first monitoring unit (30) is used for monitoring carbon emission of high-energy-consumption enterprises, determining carbon emission and carbon emission areas, and determining the correlation between the carbon emission and power consumption by setting monitoring points;
the second monitoring unit (40) is used for monitoring carbon emission of high-carbon-emission enterprises in the monitoring area, and performing carbon capture and carbon negative treatment on the carbon emission of the enterprises until the carbon emission of the enterprises is lower than a threshold value;
and after the judgment unit (50) collects the carbon emission of the enterprise, whether the comprehensive carbon emission of the enterprise with high carbon emission still exceeds a threshold value is judged, if the comprehensive carbon emission still exceeds the threshold value, measures are taken according to the correlation between the carbon emission and the power consumption, and the power consumption efficiency of the enterprise with the carbon emission is improved.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116500210A (en) * | 2023-06-28 | 2023-07-28 | 四川发展环境科学技术研究院有限公司 | Carbon emission reduction accounting device |
| CN117217966A (en) * | 2023-09-26 | 2023-12-12 | 广州市城市规划勘测设计研究院 | Intelligent electricity management system and method based on carbon emission and energy consumption |
| CN117575161A (en) * | 2023-11-30 | 2024-02-20 | 生态环境部土壤与农业农村生态环境监管技术中心 | Industrial pollution source monitoring and point distribution method and device |
-
2022
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116500210A (en) * | 2023-06-28 | 2023-07-28 | 四川发展环境科学技术研究院有限公司 | Carbon emission reduction accounting device |
| CN116500210B (en) * | 2023-06-28 | 2023-08-25 | 四川发展环境科学技术研究院有限公司 | Carbon emission reduction accounting device |
| CN117217966A (en) * | 2023-09-26 | 2023-12-12 | 广州市城市规划勘测设计研究院 | Intelligent electricity management system and method based on carbon emission and energy consumption |
| CN117575161A (en) * | 2023-11-30 | 2024-02-20 | 生态环境部土壤与农业农村生态环境监管技术中心 | Industrial pollution source monitoring and point distribution method and device |
| CN117575161B (en) * | 2023-11-30 | 2024-06-11 | 生态环境部土壤与农业农村生态环境监管技术中心 | Industrial pollution source monitoring and point distribution method and device |
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