CN118091052B - CEMS-based carbon dioxide online monitoring method and system - Google Patents
CEMS-based carbon dioxide online monitoring method and system Download PDFInfo
- Publication number
- CN118091052B CN118091052B CN202410499300.2A CN202410499300A CN118091052B CN 118091052 B CN118091052 B CN 118091052B CN 202410499300 A CN202410499300 A CN 202410499300A CN 118091052 B CN118091052 B CN 118091052B
- Authority
- CN
- China
- Prior art keywords
- carbon
- unit
- coal
- fuel
- cems
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/0004—Gaseous mixtures, e.g. polluted air
- G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
- G01N33/0027—General constructional details of gas analysers, e.g. portable test equipment concerning the detector
- G01N33/0036—General constructional details of gas analysers, e.g. portable test equipment concerning the detector specially adapted to detect a particular component
- G01N33/004—CO or CO2
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/0004—Gaseous mixtures, e.g. polluted air
- G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
- G01N33/0062—General constructional details of gas analysers, e.g. portable test equipment concerning the measuring method or the display, e.g. intermittent measurement or digital display
Landscapes
- Chemical & Material Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Medicinal Chemistry (AREA)
- Food Science & Technology (AREA)
- Combustion & Propulsion (AREA)
- Physics & Mathematics (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Regulation And Control Of Combustion (AREA)
Abstract
The invention belongs to the technical field of carbon emission calculation, and discloses a carbon dioxide on-line monitoring method and a carbon dioxide on-line monitoring system based on CEMS, wherein the method calculates the carbon content of fuel elements according to a fitting equation of the carbon content of the fuel elements, and calculates the staged carbon emission of a unit by combining the operation data of a unit fuel management system; calculating the carbon dioxide concentration of the dry coal-fired flue gas according to the oxygen content in the dry coal-fired flue gas monitored by the CEMS, and calculating the accumulated carbon emission in the CEMS data stage by combining the operation parameters of the CEMS; fitting analysis is carried out on the periodical carbon emission of the unit and the accumulated carbon emission of the CEMS data stage, and a calibration factor is obtained; and correcting the real-time carbon emission based on the CEMS data of the unit according to the calibration factor to obtain the real-time carbon emission of the carbon dioxide of the coal-fired unit. The invention overcomes the defects of high investment, difficult guarantee of accuracy and poor real-time performance of the conventional accounting method of the existing online monitoring hardware, and simultaneously has the real-time performance and accuracy of carbon emission monitoring.
Description
Technical Field
The invention belongs to the technical field of carbon emission on-line monitoring of fixed pollution sources, and particularly relates to a carbon dioxide on-line monitoring method and system based on CEMS.
Background
The real-time accurate carbon emission monitoring is an important technical support and guarantee for the low-carbon upgrading and reconstruction of the coal and the control of carbon emission. At present, the carbon emission on-line monitoring of the coal-fired power plant calculates the emission of greenhouse gases by directly measuring the flow rate, humidity, temperature, pressure, carbon dioxide concentration and the like of the flue gas, so that the real-time performance is high, but the accuracy is required to be improved. In general, the carbon dioxide sensor is additionally arranged on the tail flue and combined with the continuous emission monitoring system of the unit to carry out carbon emission on-line monitoring. Patent publication number CN116759005A discloses a method and system for calculating carbon emission amount for coal-fired power generation, which rely on the existing continuous emission monitoring system to calculate the theoretical value of carbon emission of a unit, and still do not overcome the drift and deviation of the system in online measurement. Patent publication number CN115508508a discloses a state monitoring system and method for a carbon emission sensor facing a thermal power station, which calculates theoretical emission by adopting an electric energy emission factor, alarms an online carbon emission sensor, overcomes the problem of fault drift of a measuring system, and has the result that the result is difficult to be consistent with the current standard accounting algorithm.
The carbon accounting methods widely accepted at home and abroad at present are generally an emission factor method and an element carbon method, wherein the emission factor method uses the fuel calorific value as a substrate, the carbon emission is estimated through the carbon content of the fuel calorific value, the accuracy is limited by the calorific value and the representative carbon content of the unit calorific value, the carbon accounting method is generally applied to a macroscopic accounting layer, and in actual work, large deviation exists due to the differences of fuel characteristics and unit characteristics, and the deviation is generally more than 15% of the actual value. The element carbon nuclear algorithm takes the element carbon content of fuel as a reference, calculates the carbon emission of fossil fuel combustion through mass conservation, is subject to professional measuring equipment, and needs qualification third party institutions to evaluate, so that the investment of manpower and economy is high, and usually, monthly accounting is carried out, and the measuring result is seriously lagged.
Disclosure of Invention
Aiming at the defects or improvement demands of the prior art, the invention provides a carbon dioxide on-line monitoring method and system based on CEMS (continuous monitoring system for emission of coal-fired units) based on monitoring data of a fuel management system and the CEMS of a coal-fired power plant at present. And establishing a correction model of the coal-fired unit carbon emission staged measurement mode to the real-time measurement mode according to the unit historical fuel data and CEMS monitoring data, and obtaining accurate measurement of the carbon dioxide emission of the coal-fired power plant. The invention overcomes the defects of high investment, difficult guarantee of accuracy and poor real-time performance of the conventional accounting method of the existing online monitoring hardware, and simultaneously has the real-time performance and accuracy of carbon emission monitoring.
In order to achieve the above object, the present invention is achieved by the following technical solutions.
A carbon dioxide on-line monitoring method based on CEMS comprises the following steps:
s1, according to a unit fuel history database, obtaining a correlation between test analysis data of a coal-fired unit and fuel element carbon content through data modeling, obtaining a fuel element carbon content fitting equation, and calculating the fuel element carbon content according to the fuel element carbon content fitting equation;
S2, calculating the carbon dioxide concentration of the dry coal-fired flue gas based on a combustion theory according to the oxygen content in the dry coal-fired flue gas monitored by CEMS;
S3, based on the carbon content of the fuel element, the periodical carbon emission of the unit is calculated by combining the operation data of the unit fuel management system, and the unit carbon is checked and corrected regularly according to the unit carbon accounting; based on the carbon dioxide concentration of the coal-fired dry flue gas, combining with the operation parameters of CEMS, calculating the real-time carbon emission based on the CEMS data of the unit in real time, and integrating to obtain the accumulated carbon emission in the CEMS data stage within the same statistical time period as the periodical carbon emission of the unit; fitting analysis is carried out on the periodical carbon emission of the unit and the accumulated carbon emission of the CEMS data stage, and a calibration factor is obtained;
s4, correcting the real-time carbon emission based on the CEMS data of the unit according to the calibration factor to obtain the real-time carbon emission of the carbon dioxide of the coal-fired unit, and outputting the real-time carbon emission of the carbon dioxide of the coal-fired unit in a target time span based on a time integral mode.
Further preferably, the unit fuel history database stores fuel history data, the fuel history data comprises historical coal-fired unit test analysis data and fuel element carbon content, and the correlation between the coal-fired unit test analysis data and the fuel element carbon content is fitted to obtain a fuel element carbon content fitting equation: Wherein, the method comprises the steps of, wherein, For the elemental carbon content of the fuel dry basis,In order to dry the base ash of the fuel,Is the volatile component of the fuel dry basis,Is the dry base total sulfur of the fuel,The high-order heating value of the fuel drying base; And (5) fitting coefficients of the 1 st, 2 nd, 3 rd, 4 th and 5 th fitting equations of the carbon content of the fuel elements are respectively updated by changing the random fuel history database.
Further preferably, the formula for calculating the carbon dioxide concentration of the dry coal-fired flue gas according to the oxygen content in the dry coal-fired flue gas monitored by CEMS is as follows: Wherein, the method comprises the steps of, wherein, Is the maximum volume percentage concentration of the carbon dioxide of the dry coal-fired flue gas,Oxygen content in the dry flue gas after the coal burning monitored by CEMS.
Further preferably, the unit staged carbon emissions are derived from a carbon emission statistic generated from the combustion of coal fuel on a single day; the calculation mode of carbon emission generated by burning the coal fuel on a single day is as follows:
；
Wherein, Carbon emission is generated for the combustion OF the coal fuel on a single day, and OF is the carbon oxidation rate; The daily coal feeding amount of the coal bunker of the ith unit, Collecting the full moisture of the mixed coal sample for the coal on the ith unit,The base ash is dried for the ith day of fuel,For the fuel dry base volatiles on day i,The base total sulfur is dried for the fuel on day i,The heating value is the high-order heating value of the fuel dry basis on the ith day;
Staged carbon emission of unit Wherein j represents a cycle number,In order to be a date of the day,For counting time periods.
Further preferably, the real-time carbon emissions based on the crew CEMS data may be calculated by the following formula:
；
Wherein, The real-time carbon emission based on CEMS data of the machine set at the time T is represented by S, V, the average flow velocity of the flue gas, H, the humidity of the flue gas, P, the static pressure of the flue gas, P 0, the local atmospheric pressure, T, the temperature of the flue gas,Representing the carbon dioxide concentration of the dry coal-fired flue gas;
the CEMS data phase accumulates carbon emissions during a corresponding statistical time period d WhereinFor single day unit carbon emissions calculated based on CEMS on-line monitoring data integration,86400 Is the seconds count single day duration.
Further preferably, the staged carbon emission collection by the unitAnd CEMS data stage cumulative carbon emission collectionWherein; Using a linear function modelAndIs used to obtain a carbon emission functional relationWhereinTwo fitting parameters of the carbon emission function relation respectively are to beAs a calibration factor.
Further preferably, the real-time carbon emission based on the CEMS data of the unit is corrected according to the calibration factor to obtain the real-time carbon emission of the carbon dioxide of the coal-fired unit：
。
A carbon dioxide on-line monitoring system based on CEMS comprises a fuel carbon content accurate calculation module of a coal-fired power plant, a carbon dioxide concentration on-line measurement module of the coal-fired power plant, a data coupling calibration module and a real-time carbon emission output module;
The accurate calculation module for the fuel carbon content of the coal-fired power plant comprises a unit fuel history database, a correlation relation between test analysis data of the coal-fired unit and the fuel element carbon content is obtained through data modeling, a fuel element carbon content fitting equation is obtained, and the fuel element carbon content is calculated according to the fuel element carbon content fitting equation;
the on-line calculation module of the carbon dioxide concentration of the coal-fired power plant calculates the carbon dioxide concentration of the coal-fired dry flue gas according to the oxygen content in the dry flue gas after the coal-fired is combusted, which is monitored by the CEMS, based on a combustion theory;
The data coupling calibration module is used for calculating the periodic carbon emission of the unit based on the carbon content of the fuel element by combining the operation data of the unit fuel management system, and carrying out inspection and correction periodically according to the unit carbon accounting; based on the carbon dioxide concentration of the coal-fired dry flue gas, combining with the operation parameters of CEMS, calculating the real-time carbon emission based on the CEMS data of the unit in real time, and integrating to obtain the accumulated carbon emission in the CEMS data stage within the same statistical time period as the periodical carbon emission of the unit; fitting analysis is carried out on the periodical carbon emission of the unit and the accumulated carbon emission of the CEMS data stage, and a calibration factor is obtained;
And the real-time carbon emission output module corrects the real-time carbon emission based on the CEMS data of the unit according to the calibration factor to obtain the real-time carbon emission of the carbon dioxide of the coal-fired unit, and outputs the real-time carbon emission of the carbon dioxide of the coal-fired unit in a target time span based on a time integral mode.
In general, the above technical solutions conceived by the present invention, compared with the prior art, enable the following beneficial effects to be obtained:
The invention fully utilizes the advantages of unit data, develops a carbon dioxide on-line monitoring method and a carbon dioxide on-line monitoring system which combine the conventional analysis of fuel and a CEMS system, realizes the real-time monitoring of the carbon dioxide emission of the coal-fired unit by depending on the existing CEMS of the coal-fired unit, ensures the consistency of measurement and a nuclear algorithm, overcomes the defects of high investment and difficult accuracy of the existing on-line monitoring hardware and poor real-time precision of the conventional nuclear algorithm, and simultaneously has the real-time property and accuracy of carbon emission monitoring; and reports with different periods can be provided according to actual demands, and reliable data support is provided for unit energy conservation, carbon reduction and carbon asset management decisions.
Drawings
FIG. 1 is a flow chart of a CEMS-based carbon dioxide on-line monitoring method.
FIG. 2 is a schematic diagram of a CEMS-based carbon dioxide on-line monitoring system.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention. In addition, the technical features of the embodiments of the present invention described below may be combined with each other as long as they do not collide with each other.
Example 1
Referring to fig. 1, a CEMS-based carbon dioxide on-line monitoring method includes the steps of:
s1, according to a unit fuel history database, obtaining a correlation between test analysis data of a coal-fired unit and fuel element carbon content through data modeling, obtaining a fuel element carbon content fitting equation, and calculating the fuel element carbon content according to the fuel element carbon content fitting equation;
S2, calculating the carbon dioxide concentration of the dry coal-fired flue gas based on a combustion theory according to the oxygen content in the dry coal-fired flue gas monitored by CEMS;
S3, based on the carbon content of the fuel element, the periodical carbon emission of the unit is calculated by combining the operation data of the unit fuel management system, and the unit carbon is checked and corrected regularly according to the unit carbon accounting; based on the carbon dioxide concentration of the coal-fired dry flue gas, combining with the operation parameters of CEMS, calculating the real-time carbon emission based on the CEMS data of the unit in real time, and integrating to obtain the accumulated carbon emission in the CEMS data stage within the same statistical time period as the periodical carbon emission of the unit; fitting analysis is carried out on the periodical carbon emission of the unit and the accumulated carbon emission of the CEMS data stage, and a calibration factor is obtained;
s4, correcting the real-time carbon emission based on the CEMS data of the unit according to the calibration factor to obtain the real-time carbon emission of the carbon dioxide of the coal-fired unit, and outputting the real-time carbon emission of the carbon dioxide of the coal-fired unit in a target time span based on a time integral mode.
Specifically, the unit fuel history database stores fuel history data, wherein the fuel history data comprises historical coal-fired unit test analysis data and fuel element carbon content, and the coal-fired unit test analysis data comprises parameters such as fuel industry analysis, element analysis, heating value and the like. Fitting the correlation between the test analysis data of the coal-fired unit and the carbon content of the fuel element to obtain a fitting equation of the carbon content of the fuel element: If the fuel history data is insufficient, the empirical formula of the third version of question and answer of the fuel analysis technology is adopted preferentially, Wherein, the method comprises the steps of, wherein,The unit is the carbon content of the fuel dry base element; Is fuel dry base ash, unit is; Is fuel dry base volatile component, the unit is; is fuel dry base total sulfur, and the unit is; the unit of the high-order heating value of the fuel drying base is MJ/kg; And (5) fitting coefficients of the 1 st, 2 nd, 3 rd, 4 th and 5 th fitting equations of the carbon content of the fuel elements are respectively updated by changing the random fuel history database.
Specifically, based on the coal fuel combustion theory, the theoretical correlation exists between the oxygen content in the dry flue gas after the combustion of high-carbon fuel coal, petroleum and natural gas and the carbon dioxide concentration, and the carbon dioxide concentration of the dry flue gas of the coal is calculated according to the oxygen content in the dry flue gas after the combustion monitored by CEMS），Wherein, the method comprises the steps of, wherein,The unit is that the maximum volume percentage concentration of the carbon dioxide of the dry coal flue gas is the empirical value which is related to the fuel property and the fuel class, and the initial value is 18.4 to 18.7 of the corresponding parameter of the bituminous coal; the oxygen content in the dry flue gas after the burning of the coal monitored by CEMS is shown in percent.
Specifically, the unit staged carbon emissions are derived from a carbon emission statistic generated from the combustion of coal fuel on a single day. The coal fuel is combusted on a single day to generate carbon emission, and the calculation mode is as follows:
；
Wherein, Carbon emissions are produced for the combustion of a single day of coal fuel in tons per day; OF is the carbon oxidation rate, and the coal-fired unit takes 0.99; the unit is thatThe unit is ton for the daily coal feeding amount of the coal bunker of the ith unit; collecting the total moisture of the mixed coal sample for the coal on the ith unit, wherein the unit is; the unit is the fuel dry base ash on the ith day; the unit is the fuel dry base volatile on the ith day; the unit is i day fuel dry base total sulfur; The unit of the heating value is MJ/kg for the high-order heating value of the fuel dry basis on the ith day;
the fuel quantity of the actual unit burnt in a single day is deviated from the fuel quantity of the coal in the same day, namely the carbon emission generated by the actual combustion in a single day Burning with single day coal fuel to produce carbon emissionsWith some deviation, eliminated by increasing statistical time, i.e.Wherein, the method comprises the steps of, wherein,In order to be a date of the day,For the statistical time period, the units are days,Thus, the unit is staged for carbon emissionsWhere j represents a cycle number.
Specifically, the real-time carbon emissions based on the crew CEMS data may be calculated by the following formula:
；
Wherein, Representing real-time carbon emissions in tons/second based on unit CEMS data; t represents the current time, and the unit is s; s represents the flue sectional area, and the unit is m 2; v represents the average flow rate of the flue gas, and the unit is m/s; h represents the humidity of the flue gas, and the unit is; p represents the static pressure of the flue gas, and the unit is Pa; p 0 is the local atmospheric pressure in Pa; t represents the temperature of flue gas, and the unit is DEG C; The carbon dioxide concentration of the dry coal-fired flue gas is expressed in percent.
The CEMS data phase accumulated carbon emissions during the corresponding statistical time period d isWhereinFor single day unit carbon emissions calculated based on CEMS on-line monitoring data integration,86400 Is the seconds count single day duration.
Set of staged carbon emissions obtained by two carbon emissions calculationAnd CEMS data stage cumulative carbon emission collectionIn tons, where; Using a linear function modelAndIs used to obtain a carbon emission functional relationWhereinTwo fitting parameters of the carbon emission function relation are dynamic values respectively, and willAs a calibration factor.
Specifically, the real-time carbon emission based on the CEMS data of the unit is corrected according to the calibration factor to obtain the real-time carbon emission of the carbon dioxide of the coal-fired unit：
；
The correction comprises correction of measurement and value deviation of CEMS measurement flow rate, humidity, temperature, pressure and maximum carbon dioxide concentration of fuel combustion, so that historical data obtained by two measurement modes gradually increase along with the time, linear regression data amount is gradually increased, and recommended data amount is between 10 and 20 so as to meet the requirement of unit fuel change. After the initial stage data volume is gradually increased from 2 to the set data volume, deleting the first stage data in the regression analysis data group every time one recent stage data is increased, and ensuring that the regression analysis data volume is unchanged.
Outputting reports of carbon emission of the unit in different time periods of seconds, minutes, hours, days, weeks and the like according to requirements, wherein report data of different time grades are calculated according to the following formula:
；
Where k represents a time scale, seconds, minutes, hours, days, weeks, etc., and kt is 1,1×60=60, 1×60×60=3600, 1×60×24=86400, 1×60×60×24×7=604800, respectively, and so on, and can output a carbon emission report in any time span.
In summary, based on the long-term dynamic data update, the fuel characteristic change deviation and CEMS flue gas parameter measurement deviation are corrected by the stepwise fitting function, so that the real-time carbon emission condition of the coal-fired unit can be accurately reflected, emission data has higher consistency with a standard accounting method, different periodic reports can be given according to actual requirements, the timeliness and accuracy of a test result are verified, and reliable data support is provided for unit energy conservation, carbon reduction and carbon asset management decisions.
Based on the system verification of a certain coal-fired unit, the reference method is based on the monthly mixed coal sample full-parameter test verification of the carbon accounting requirement of the coal-fired power plant to calculate the monthly carbon emission; the conventional CEMS is to calculate the concentration of carbon dioxide in the flue gas according to the combustion theory by adopting default parameters, and obtain the carbon emission based on the real-time carbon emission integration of the CEMS data of the unit. The results of the comparison of example 1, reference method, conventional CEMS half year run time are as follows:
in the above table, the carbon emissions obtained in example 1 and conventional CEMS were deviated from those obtained by the reference method, and as apparent from the above table, the deviation of example 1 was smaller.
Example 2
Referring to fig. 2, a CEMS-based carbon dioxide online monitoring system includes a fuel carbon content accurate calculation module of a coal-fired power plant, a carbon dioxide concentration online measurement module of the coal-fired power plant, a data coupling calibration module and a real-time carbon emission output module;
The accurate calculation module for the fuel carbon content of the coal-fired power plant comprises a unit fuel history database, a correlation relation between test analysis data of the coal-fired unit and the fuel element carbon content is obtained through data modeling, a fuel element carbon content fitting equation is obtained, and the fuel element carbon content is calculated according to the fuel element carbon content fitting equation;
the on-line calculation module of the carbon dioxide concentration of the coal-fired power plant calculates the carbon dioxide concentration of the coal-fired dry flue gas according to the oxygen content in the dry flue gas after the coal-fired is combusted, which is monitored by the CEMS, based on a combustion theory;
The data coupling calibration module is used for calculating the periodic carbon emission of the unit based on the carbon content of the fuel element by combining the operation data of the unit fuel management system, and carrying out inspection and correction periodically according to the unit carbon accounting; based on the carbon dioxide concentration of the coal-fired dry flue gas, combining with the operation parameters of CEMS, calculating the real-time carbon emission based on the CEMS data of the unit in real time, and integrating to obtain the accumulated carbon emission in the CEMS data stage within the same statistical time period as the periodical carbon emission of the unit; fitting analysis is carried out on the periodical carbon emission of the unit and the accumulated carbon emission of the CEMS data stage, and a calibration factor is obtained;
And the real-time carbon emission output module corrects the real-time carbon emission based on the CEMS data of the unit according to the calibration factor to obtain the real-time carbon emission of the carbon dioxide of the coal-fired unit, and outputs the real-time carbon emission of the carbon dioxide of the coal-fired unit in a target time span based on a time integral mode.
It will be readily appreciated by those skilled in the art that the foregoing description is merely a preferred embodiment of the invention and is not intended to limit the invention, but any modifications, equivalents, improvements or alternatives falling within the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (2)
1. The CEMS-based carbon dioxide online monitoring method is characterized by comprising the following steps of:
s1, according to a unit fuel history database, obtaining a correlation between test analysis data of a coal-fired unit and fuel element carbon content through data modeling, obtaining a fuel element carbon content fitting equation, and calculating the fuel element carbon content according to the fuel element carbon content fitting equation;
S2, calculating the carbon dioxide concentration of the dry coal-fired flue gas based on a combustion theory according to the oxygen content in the dry coal-fired flue gas monitored by CEMS;
S3, based on the carbon content of the fuel element, the periodical carbon emission of the unit is calculated by combining the operation data of the unit fuel management system, and the unit carbon is checked and corrected regularly according to the unit carbon accounting; based on the carbon dioxide concentration of the coal-fired dry flue gas, combining with the operation parameters of CEMS, calculating the real-time carbon emission based on the CEMS data of the unit in real time, and integrating to obtain the accumulated carbon emission in the CEMS data stage within the same statistical time period as the periodical carbon emission of the unit; fitting analysis is carried out on the periodical carbon emission of the unit and the accumulated carbon emission of the CEMS data stage, and a calibration factor is obtained;
s4, correcting the real-time carbon emission based on the CEMS data of the unit according to the calibration factor to obtain the real-time carbon emission of the carbon dioxide of the coal-fired unit, and outputting the real-time carbon emission of the carbon dioxide of the coal-fired unit in a target time span based on a time integral mode;
the unit fuel history database stores fuel history data, the fuel history data comprises historical coal-fired unit test analysis data and fuel element carbon content, the correlation between the coal-fired unit test analysis data and the fuel element carbon content is fitted, and a fuel element carbon content fitting equation is obtained: Wherein, the method comprises the steps of, wherein, For the elemental carbon content of the fuel dry basis,In order to dry the base ash of the fuel,Is the volatile component of the fuel dry basis,Is the dry base total sulfur of the fuel,The high-order heating value of the fuel drying base; The 1 st, 2 nd, 3 rd, 4 th and 5 th fitting coefficients of the fitting equation of the carbon content of the fuel element are respectively updated by changing the random fuel history database;
the formula for calculating the carbon dioxide concentration of the coal-fired dry flue gas according to the oxygen content in the dry flue gas after combustion monitored by CEMS is as follows: Wherein, the method comprises the steps of, wherein, Is the maximum volume percentage concentration of the carbon dioxide of the dry coal-fired flue gas,Oxygen content in the dry flue gas after the burning of the coal monitored by CEMS;
the periodic carbon emission of the unit is obtained according to statistics of carbon emission generated by burning coal fuel on a single day; the calculation mode of carbon emission generated by burning the coal fuel on a single day is as follows:
；
Wherein, Carbon emission is generated for the combustion OF the coal fuel on a single day, and OF is the carbon oxidation rate; The daily coal feeding amount of the coal bunker of the ith unit, Collecting the full moisture of the mixed coal sample for the coal on the ith unit,The base ash is dried for the ith day of fuel,For the fuel dry base volatiles on day i,The base total sulfur is dried for the fuel on day i,The heating value is the high-order heating value of the fuel dry basis on the ith day;
Staged carbon emission of unit Wherein j represents a cycle number,In order to be a date of the day,Counting time periods;
real-time carbon emissions based on crew CEMS data can be calculated by the following formula:
；
Wherein, The real-time carbon emission based on CEMS data of the machine set at the time T is represented by S, V, the average flow velocity of the flue gas, H, the humidity of the flue gas, P, the static pressure of the flue gas, P 0, the local atmospheric pressure, T, the temperature of the flue gas,Representing the carbon dioxide concentration of the dry coal-fired flue gas;
the CEMS data phase accumulates carbon emissions during a corresponding statistical time period d WhereinFor single day unit carbon emissions calculated based on CEMS on-line monitoring data integration,86400 Is the seconds count single day duration;
Staged carbon emission collection by unit And CEMS data stage cumulative carbon emission collectionWherein; Using a linear function modelAndIs used to obtain a carbon emission functional relationWhereinTwo fitting parameters of the carbon emission function relation respectively are to beAs a calibration factor;
Correcting the real-time carbon emission based on the CEMS data of the unit according to the calibration factor to obtain the real-time carbon emission of the carbon dioxide of the coal-fired unit ：
。
2. The CEMS-based carbon dioxide on-line monitoring system is used for implementing the CEMS-based carbon dioxide on-line monitoring method according to claim 1 and is characterized by comprising a fuel carbon content accurate calculation module of a coal-fired power plant, a carbon dioxide concentration on-line measurement module of the coal-fired power plant, a data coupling calibration module and a real-time carbon emission output module;
The accurate calculation module for the fuel carbon content of the coal-fired power plant comprises a unit fuel history database, a correlation relation between test analysis data of the coal-fired unit and the fuel element carbon content is obtained through data modeling, a fuel element carbon content fitting equation is obtained, and the fuel element carbon content is calculated according to the fuel element carbon content fitting equation;
the on-line calculation module of the carbon dioxide concentration of the coal-fired power plant calculates the carbon dioxide concentration of the coal-fired dry flue gas according to the oxygen content in the dry flue gas after the coal-fired is combusted, which is monitored by the CEMS, based on a combustion theory;
The data coupling calibration module is used for calculating the periodic carbon emission of the unit based on the carbon content of the fuel element by combining the operation data of the unit fuel management system, and carrying out inspection and correction periodically according to the unit carbon accounting; based on the carbon dioxide concentration of the coal-fired dry flue gas, combining with the operation parameters of CEMS, calculating the real-time carbon emission based on the CEMS data of the unit in real time, and integrating to obtain the accumulated carbon emission in the CEMS data stage within the same statistical time period as the periodical carbon emission of the unit; fitting analysis is carried out on the periodical carbon emission of the unit and the accumulated carbon emission of the CEMS data stage, and a calibration factor is obtained;
And the real-time carbon emission output module corrects the real-time carbon emission based on the CEMS data of the unit according to the calibration factor to obtain the real-time carbon emission of the carbon dioxide of the coal-fired unit, and outputs the real-time carbon emission of the carbon dioxide of the coal-fired unit in a target time span based on a time integral mode.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410499300.2A CN118091052B (en) | 2024-04-24 | 2024-04-24 | CEMS-based carbon dioxide online monitoring method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410499300.2A CN118091052B (en) | 2024-04-24 | 2024-04-24 | CEMS-based carbon dioxide online monitoring method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN118091052A CN118091052A (en) | 2024-05-28 |
| CN118091052B true CN118091052B (en) | 2024-08-06 |
Family
ID=91161885
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410499300.2A Active CN118091052B (en) | 2024-04-24 | 2024-04-24 | CEMS-based carbon dioxide online monitoring method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN118091052B (en) |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117557111A (en) * | 2023-09-28 | 2024-02-13 | 国网四川省电力公司电力科学研究院 | Calculation method and system for carbon emission factors of coal-fired power plants serving real-time carbon trading |
Family Cites Families (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106844832B (en) * | 2016-12-11 | 2020-01-21 | 华电电力科学研究院有限公司 | Carbon emission accounting method based on industrial analysis, total sulfur and heat productivity data |
| CN109443423B (en) * | 2018-10-10 | 2021-09-07 | 江苏方天电力技术有限公司 | A method for checking the correlation degree of carbon emission data of gas generating units based on product-difference analysis |
| CN109557869A (en) * | 2018-11-27 | 2019-04-02 | 江苏方天电力技术有限公司 | A kind of fired power generating unit carbon emission on-line monitoring management system |
| CN110044852A (en) * | 2019-04-23 | 2019-07-23 | 华南理工大学 | Coal-burning power plant's carbon emission on-line monitoring method based on laser induced breakdown spectroscopy method |
| CN111707782A (en) * | 2020-03-30 | 2020-09-25 | 江苏方天电力技术有限公司 | Thermal power generating unit carbon dioxide emission concentration abnormity detection method based on oxygen amount |
| CN114897226A (en) * | 2022-04-25 | 2022-08-12 | 广东邦普循环科技有限公司 | A carbon emission forecast method, device, equipment and storage medium |
| CN115187012A (en) * | 2022-06-24 | 2022-10-14 | 苏州西热节能环保技术有限公司 | Day data based carbon emission method for verifying combustion of coal-fired power plant |
| CN115508508A (en) * | 2022-09-02 | 2022-12-23 | 中国计量大学 | A carbon emission sensor state monitoring system and method for thermal power plants |
| CN115689093A (en) * | 2022-12-26 | 2023-02-03 | 青芥一合碳汇(武汉)科技有限公司 | Power plant carbon emission accounting method and system based on thermal model and machine learning |
| CN116739368A (en) * | 2023-05-29 | 2023-09-12 | 合肥迈思泰合信息科技有限公司 | Industrial park carbon emission level monitoring and evaluating method based on energy big data |
| CN117132123A (en) * | 2023-07-13 | 2023-11-28 | 国电南瑞科技股份有限公司 | Method and system for determining emission amount of coal-fired carbon dioxide based on raw material side data |
| CN117314706A (en) * | 2023-10-13 | 2023-12-29 | 国网安徽省电力有限公司电力科学研究院 | Method for calculating carbon dioxide emission amount of coal-fired unit |
| CN117630283A (en) * | 2023-10-19 | 2024-03-01 | 合肥工业大学 | Online carbon emission monitoring method and system for coal-fired power generation enterprises |
-
2024
- 2024-04-24 CN CN202410499300.2A patent/CN118091052B/en active Active
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117557111A (en) * | 2023-09-28 | 2024-02-13 | 国网四川省电力公司电力科学研究院 | Calculation method and system for carbon emission factors of coal-fired power plants serving real-time carbon trading |
Non-Patent Citations (1)
| Title |
|---|
| 环境保护部.固定污染源烟气（SO2、NOX、颗粒物）排放连续监测技术规范.2017,第33页C.4. * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN118091052A (en) | 2024-05-28 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108280047A (en) | A kind of fired power generating unit carbon emission accounting method based on field monitoring data | |
| CN102734782B (en) | Coal burning boiler energy efficiency monitoring method | |
| CN103697946A (en) | Method for calculating flue gas flow of coal-fired boiler in heat-engine plant and method for controlling pollutant discharge amount | |
| US8244505B2 (en) | Predicting NOx emissions | |
| CN116664161B (en) | Carbon dioxide emission accounting technology selection method based on coal-fired thermal power plant | |
| CN106228464A (en) | A kind of grouping of the world economy thermal power generation corporations based on B/S framework carbon emission control method | |
| CN118469595B (en) | Carbon emission calculation method based on energy consumption | |
| Yin et al. | A calculation method for CO2 emission in utility boilers based on BP neural network and carbon balance | |
| CN109764327A (en) | A system and method for intelligent analysis of boiler efficiency difference | |
| CN116759005A (en) | Carbon emission amount calculating method and system for coal-fired power generation | |
| CN117557111A (en) | Calculation method and system for carbon emission factors of coal-fired power plants serving real-time carbon trading | |
| CN115824994B (en) | Online actual measurement method-based direct carbon emission accounting method for waste incineration industry | |
| CN117350458A (en) | Thermal power generating unit carbon emission analysis method based on-line monitoring | |
| CN117132123A (en) | Method and system for determining emission amount of coal-fired carbon dioxide based on raw material side data | |
| CN108197723A (en) | Coal motor group net coal consumption rate and the Optimization of Energy Saving dispatching method of pollutant emission | |
| CN115187012A (en) | Day data based carbon emission method for verifying combustion of coal-fired power plant | |
| CN109655489B (en) | Method and device for metering standard coal consumption of coal-fired unit | |
| CN118091052B (en) | CEMS-based carbon dioxide online monitoring method and system | |
| CN106841518B (en) | A method for measuring NOx concentration in flue gas based on Kalman filter | |
| CN118428595A (en) | A low-cost and high-precision carbon emission accounting and early warning system for tobacco baking | |
| CN118329152A (en) | Method, device, medium and equipment for monitoring carbon emission of coal-fired unit in real time | |
| US20240272016A1 (en) | A method and a system for monitoring and on-line determining of a calorific value of solid fuel that is currently combusted in a boiler | |
| CN112417684B (en) | Dynamic calculation method for coal quality components of coal-fired unit | |
| CN118069978B (en) | Method and system for calculating carbon dioxide emission amount of coal-fired power plant | |
| CN116663769A (en) | Method for determining accurate measurement and calculation and emission reduction strategy of carbon emission in chemical plant |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |