CN112058079A - SCR inlet NO based on index prediction modelXConcentration prediction system and method - Google Patents
SCR inlet NO based on index prediction modelXConcentration prediction system and method Download PDFInfo
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- B01D53/00—Separation of gases or vapours; Recovering vapours of volatile solvents from gases; Chemical or biological purification of waste gases, e.g. engine exhaust gases, smoke, fumes, flue gases, aerosols
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Abstract
The invention discloses an index prediction model-based SCR inlet NOXThe concentration prediction system and method comprises a weight transmitter, a rotating speed transmitter, a primary air volume transmitter, a secondary air volume transmitter, an oxygen volume transmitter, a primary air pressure transmitter, a controller and a decentralized control system; the controller is connected with the weight transmitter and the rotating speed transmitter, the controller, the primary air volume transmitter, the secondary air volume transmitter, the oxygen volume transmitter and the primary air pressure transmitter are connected with the decentralized control system, and the system and the method accurately predict NO at the SCR inletXAnd (4) concentration.
Description
Technical Field
The invention belongs to the field of automatic prediction control of power station boiler denitration,relates to an SCR inlet NO based on an index prediction modelXA concentration prediction system and method.
Background
In China, coal is used as a main energy source, and the energy pattern cannot change for a long time. With the continuous development of new energy industry and the stricter and stricter national environmental protection requirements, the problem of nitrogen oxide emission of coal-fired power plants gradually becomes the key point of attention of people. How to effectively reduce the ammonia injection amount while ensuring the denitration efficiency becomes a problem to be solved urgently at present in the denitration ammonia injection control.
For some units with longer commissioning time, the NO at the inlet of the measuring device, in particular the SCR denitration deviceXThe measuring device may frequently malfunction. Due to failure to obtain accurate and effective SCR inlet NOXConcentration data and the traditional PID feedback regulation mode lose control significance. Therefore, even if various advanced control strategies are successfully applied to the control process of the denitration control system, the control effect still cannot meet the environmental protection assessment requirement.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides an SCR inlet NO based on an exponential prediction modelXConcentration prediction system and method, which accurately predict NO at SCR inletXAnd (4) concentration.
In order to achieve the above purpose, the SCR inlet NO based on the exponential prediction model of the inventionXThe concentration prediction system comprises a weight transmitter, a rotating speed transmitter, a primary air volume transmitter, a secondary air volume transmitter, an oxygen volume transmitter, a primary air pressure transmitter, a controller and a decentralized control system;
the controller is connected with the weight transmitter and the rotating speed transmitter, and the controller, the primary air volume transmitter, the secondary air volume transmitter, the oxygen volume transmitter and the primary air pressure transmitter are connected with the decentralized control system.
The distributed control system is internally provided with a device for calculating and predicting SCR inlet NOXA concentration SCR inlet NOx concentration prediction module.
SCR inlet NO based on exponential prediction modelXThe concentration prediction method comprises the following steps:
the controller measures the coal belt amount of the coal mill through the weight transmitter, measures the rotating speed of the coal grinding belt through the rotating speed transmitter, and then calculates the instantaneous total coal amount of the coal mill according to the coal belt amount and the rotating speed of the coal mill;
the decentralized control system detects the primary air quantity at the inlet of the coal mill through the primary air quantity transmitter, detects the secondary air quantity at the outlet of the air preheater through the secondary air quantity transmitter, detects the oxygen quantity at the inlet of the SCR through the oxygen quantity transmitter, detects the primary air pressure at the outlet of the air preheater through the primary air pressure transmitter, and calculates the NO at the inlet of the SCR according to the predictionXAnd (4) concentration.
The instantaneous total coal amount is equal to the product of the belt coal amount and the belt rotational speed.
NO at SCR inletXConcentration of NOXComprises the following steps:
wherein, A is the instantaneous total coal feeding quantity, B is the primary air quantity, C is the secondary air quantity, D is the oxygen quantity output by the oxygen quantity transmitter, and E is the primary air pressure value.
Further comprising: the decentralized control system displays the calculated and predicted NO of the SCR inletXConcentration of NOX。
The invention has the following beneficial effects:
SCR inlet NO based on exponential prediction modelXDuring specific operation, the concentration prediction system and method calculate and predict NO at SCR inlet according to primary air quantity, secondary air quantity, oxygen quantity, primary air pressure and instantaneous total coal quantityXConcentration, avoiding the problems of large workload and unstable control quality caused by human intervention, and realizing NO control at the inlet of the SCRXAdvanced dynamic prediction of concentration, mitigation and even avoidance of export NOXAnd (5) exceeding the concentration. Meanwhile, when in use, only a DCS picture needs to be added and an SCR inlet NOX concentration prediction module is added, the installation is convenient,the time consumption is short, and the modification cost is low.
Drawings
FIG. 1 is a schematic structural diagram of the present invention.
Wherein, 1 is a weight transmitter, 2 is a rotating speed transmitter, 3 is a primary air volume transmitter, 4 is a secondary air volume transmitter, 5 is an oxygen volume transmitter, 6 is a primary air pressure transmitter, 7 is a controller, 8 is a dispersion control system, and 9 is an SCR inlet NOX concentration prediction module.
Detailed Description
The invention is described in further detail below with reference to the accompanying drawings:
referring to FIG. 1, the SCR inlet NO based on the exponential prediction model according to the present inventionXThe concentration prediction system comprises a weight transmitter 1, a rotating speed transmitter 2, a primary air volume transmitter 3, a secondary air volume transmitter 4, an oxygen volume transmitter 5, a primary air pressure transmitter 6, a controller 7 and a decentralized control system 8; the controller 7 is connected with the weight transmitter 1 and the rotating speed transmitter 2, and the controller 7, the primary air volume transmitter 3, the secondary air volume transmitter 4, the oxygen volume transmitter 5 and the primary air pressure transmitter 6 are connected with the decentralized control system 8; the distributed control system 8 is internally provided with a device for calculating and predicting SCR inlet NOXConcentration SCR inlet NOx concentration prediction module 9.
SCR inlet NO based on exponential prediction modelXThe concentration prediction method comprises the following steps:
the controller 7 measures the coal amount of the coal belt of the coal mill through the weight transmitter 1, measures the rotating speed of the coal belt through the rotating speed transmitter 2, and then calculates the instantaneous total coal amount of the coal mill according to the coal amount of the coal belt of the coal mill and the rotating speed;
the decentralized control system 8 detects the primary air quantity of the coal mill inlet through the primary air quantity transmitter 3, detects the secondary air quantity of the air preheater outlet through the secondary air quantity transmitter 4, detects the oxygen quantity of the SCR inlet through the oxygen quantity transmitter 5, detects the primary air pressure of the air preheater outlet through the primary air pressure transmitter 6, and calculates the NO of the SCR inlet according to the predictionXAnd (4) concentration.
The instantaneous total coal amount is equal to the product of the belt coal amount and the belt rotational speed.
NO at SCR inletXConcentration of NOXComprises the following steps:
wherein A is the instantaneous total coal feeding quantity, B is the primary air quantity, C is the secondary air quantity, D is the oxygen quantity output by the oxygen quantity transmitter 5, and E is the primary air pressure value.
SCR inlet NOx concentration prediction module 9 calculates SCR inlet NOXAnd outputting the concentration data to a dispersion control system 8 to complete display and participate in the denitration control process.
Claims (6)
1. SCR inlet NO based on index prediction modelXThe concentration prediction system is characterized by comprising a weight transmitter (1), a rotating speed transmitter (2) and a primary air volume transmitter, and the system and the method can accurately predict NO at the SCR inletXConcentration (3), secondary air volume transmitter (4), oxygen volume transmitter (5) and primary air pressure transmitter, and the system and the method can accurately predict NO at SCR inletXA concentration (6), a controller (7) and a dispersion control system (8);
a controller (7) is connected with the weight transmitter (1) and the rotating speed transmitter (2), and the system and the method accurately predict NO at the SCR inletXConcentration (7), primary air volume transmitter (3), secondary air volume transmitter (4), oxygen volume transmitter (5) and primary air pressure transmitter, and the system and method accurately predict NO at SCR inletXThe concentration (6) is connected with a dispersion control system (8).
2. The exponential prediction model-based SCR inlet NO of claim 1XThe concentration prediction system is characterized in that the dispersion control system (8) is internally provided with a system for calculating and predicting SCR inlet NOXA concentration SCR inlet NOx concentration prediction module (9).
3. SCR inlet NO based on index prediction modelXThe method of predicting concentration is characterized by being based on the rightSCR inlet NO based on exponential prediction model as defined in claim 1XA concentration prediction system comprising the steps of:
the controller (7) measures the coal belt amount of the coal mill through the weight transmitter (1), measures the rotating speed of the coal belt through the rotating speed transmitter (2), and then calculates the instantaneous total coal amount of the coal mill according to the coal belt amount and the rotating speed of the coal mill;
the decentralized control system (8) detects the primary air volume of the coal mill inlet through the primary air volume transmitter (3), detects the secondary air volume of the air preheater outlet through the secondary air volume transmitter (4), detects the oxygen amount of the SCR inlet through the oxygen amount transmitter (5), detects the primary air pressure of the air preheater outlet through the primary air pressure transmitter (6), and calculates the NO of the SCR inlet through predictionXAnd (4) concentration.
4. SCR inlet NO based on an exponential prediction model according to claim 3XA method of concentration prediction, characterized in that the instantaneous total coal quantity is equal to the product of the belt coal quantity value and the belt rotational speed value.
5. SCR inlet NO based on an exponential prediction model according to claim 3XMethod for predicting the concentration of NO at the SCR inletXConcentration of NOXComprises the following steps:
wherein A is the instantaneous total coal feeding quantity, B is the primary air quantity, C is the secondary air quantity, D is the oxygen quantity output by the oxygen quantity transmitter (5), and E is the primary air pressure value.
6. SCR inlet NO based on an exponential prediction model according to claim 3XThe concentration prediction method is characterized by further comprising: the decentralized control system (8) displays the calculated and predicted NO of the SCR inletXConcentration of NOX。
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112667613A (en) * | 2020-12-25 | 2021-04-16 | 内蒙古京隆发电有限责任公司 | Flue gas NOx prediction method and system based on multi-delay characteristic multivariable correction |
| CN114534458A (en) * | 2022-03-09 | 2022-05-27 | 山东爱亿普环保科技股份有限公司 | Control method and device for spraying denitration reducing agent |
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| EP0604236A1 (en) * | 1992-12-25 | 1994-06-29 | Kabushiki Kaisha Toshiba | Nitrogen oxide removal control apparatus |
| CN110486749A (en) * | 2019-08-29 | 2019-11-22 | 国网河南省电力公司电力科学研究院 | A kind of thermal power unit boiler optimized control method of combustion and system |
| CN111589302A (en) * | 2020-05-29 | 2020-08-28 | 广东电科院能源技术有限责任公司 | Method, device, equipment and storage medium for predicting SCR denitration performance of coal-fired power plant |
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2020
- 2020-09-03 CN CN202010916787.1A patent/CN112058079A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0604236A1 (en) * | 1992-12-25 | 1994-06-29 | Kabushiki Kaisha Toshiba | Nitrogen oxide removal control apparatus |
| CN110486749A (en) * | 2019-08-29 | 2019-11-22 | 国网河南省电力公司电力科学研究院 | A kind of thermal power unit boiler optimized control method of combustion and system |
| CN111589302A (en) * | 2020-05-29 | 2020-08-28 | 广东电科院能源技术有限责任公司 | Method, device, equipment and storage medium for predicting SCR denitration performance of coal-fired power plant |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112667613A (en) * | 2020-12-25 | 2021-04-16 | 内蒙古京隆发电有限责任公司 | Flue gas NOx prediction method and system based on multi-delay characteristic multivariable correction |
| CN112667613B (en) * | 2020-12-25 | 2023-03-31 | 内蒙古京隆发电有限责任公司 | Flue gas NOx prediction method and system based on multi-delay characteristic multivariable correction |
| CN114534458A (en) * | 2022-03-09 | 2022-05-27 | 山东爱亿普环保科技股份有限公司 | Control method and device for spraying denitration reducing agent |
| CN114534458B (en) * | 2022-03-09 | 2023-04-07 | 山东爱亿普环保科技股份有限公司 | Control method and device for injecting denitration reducing agent |
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Application publication date: 20201211 |