CN105032182A - Artificial intelligence-based automatic method for denitration and ammonia injection - Google Patents
Artificial intelligence-based automatic method for denitration and ammonia injection Download PDFInfo
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- CN105032182A CN105032182A CN201510524941.XA CN201510524941A CN105032182A CN 105032182 A CN105032182 A CN 105032182A CN 201510524941 A CN201510524941 A CN 201510524941A CN 105032182 A CN105032182 A CN 105032182A
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- denitration
- ammonia
- running
- demanded
- curve
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- QGZKDVFQNNGYKY-UHFFFAOYSA-N Ammonia Chemical compound N QGZKDVFQNNGYKY-UHFFFAOYSA-N 0.000 title claims abstract description 98
- 229910021529 ammonia Inorganic materials 0.000 title claims abstract description 49
- 238000000034 method Methods 0.000 title claims abstract description 13
- 238000013473 artificial intelligence Methods 0.000 title claims abstract description 11
- 238000002347 injection Methods 0.000 title abstract 2
- 239000007924 injection Substances 0.000 title abstract 2
- 239000007921 spray Substances 0.000 claims description 11
- 238000010977 unit operation Methods 0.000 claims description 10
- 238000005507 spraying Methods 0.000 claims description 3
- 238000004364 calculation method Methods 0.000 abstract 2
- 230000007547 defect Effects 0.000 abstract 1
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 description 5
- 239000003546 flue gas Substances 0.000 description 5
- MWUXSHHQAYIFBG-UHFFFAOYSA-N Nitric oxide Chemical compound O=[N] MWUXSHHQAYIFBG-UHFFFAOYSA-N 0.000 description 3
- XSQUKJJJFZCRTK-UHFFFAOYSA-N Urea Chemical compound NC(N)=O XSQUKJJJFZCRTK-UHFFFAOYSA-N 0.000 description 3
- 239000004202 carbamide Substances 0.000 description 3
- 230000007613 environmental effect Effects 0.000 description 3
- RAHZWNYVWXNFOC-UHFFFAOYSA-N Sulphur dioxide Chemical compound O=S=O RAHZWNYVWXNFOC-UHFFFAOYSA-N 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 239000007789 gas Substances 0.000 description 2
- 238000006722 reduction reaction Methods 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 238000003915 air pollution Methods 0.000 description 1
- XKMRRTOUMJRJIA-UHFFFAOYSA-N ammonia nh3 Chemical compound N.N XKMRRTOUMJRJIA-UHFFFAOYSA-N 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 238000000738 capillary electrophoresis-mass spectrometry Methods 0.000 description 1
- 239000003054 catalyst Substances 0.000 description 1
- 238000006555 catalytic reaction Methods 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 239000003638 chemical reducing agent Substances 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000007599 discharging Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000005562 fading Methods 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 230000009897 systematic effect Effects 0.000 description 1
- 230000005619 thermoelectricity Effects 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
Abstract
The invention relates to the technical field of denitration in a thermal power plant, and in particular relates to an artificial intelligence-based automatic method for denitration and ammonia injection. The method comprises the following steps: 1, additionally setting a set of demanded denitration ammonia amount calculation logic by using a halt opportunity; 2, implementing necessary limiting value operation on important data by using historical data during running of a unit and limiting the high-low limits to be 1.1 times those of normal operation parameters; 3, after the unit runs, setting the demanded denitration ammonia amount manually by a running worker in each working stage of the unit during running; 4, comparing the demanded ammonia amount manually set during running in the step 3 with the demanded denitration ammonia amount calculated by a computer and paying attention to the trend of automatic calculation and the manual setting deviation by the running worker; 5, correcting calculated curve or function curve according to the deviation so as to enable the deviation to be fitted with a manual running setting curve, and adding a manual running deviation function in necessity; and 6, automatically running denitration. The artificial intelligence-based automatic method can be used for solving the defects caused by traditional denitration and NOx modes, effectively reducing the demanded ammonia amount and saving the denitration running cost.
Description
Technical field
The present invention relates to the technical field of thermal power plant denitration, especially a kind of method of the automatic denitration spray ammonia based on artificial intelligence.
Background technology
" 12 " period, the binding air of China administers index 2: sulfur dioxide and oxynitrides decline 8% and 10% respectively, and thermoelectricity, as one of four large highly energy-consuming trade, is the main power of reduction of discharging.According to Chinese Ministry of Environmental Protection " thermal power plant's air pollution emission standard (GB13223-2011) ", before in July, 2014, all fired power generating unit all should reach limit value requirement.Along with policy is fully under way, existing coal-burning power plant denitration transformation paces are accelerated.
Current most thermal power plant, denitration all adopts SCR technology, uses NH
3as reducing agent, with the NO in flue gas
xcarry out reduction reaction.The algorithm of its ammonia requirement adopts following two kinds of patterns substantially:
One, efficiency mode: which is a kind of base control mode based on denitration efficiency and catalyst denitration ability, and its main algorithm is according to NO in flue gas
xconcentration and exhaust gas volumn, and fixing ammonia nitrogen mol ratio, then be multiplied by denitration efficiency design load, calculates and needs ammonia amount, calculate requirement for setting, carry out PI adjustment with this.
This pattern has following shortcoming: 1, when unit load variation, burning air distribution regulate and run to mill, can cause NO in flue gas
xconcentration significantly changes, and can cause ammonia requirement setting value fluctuation, exceed automatic adjustable range, system fading margin is dispersed, automatically cannot drop into.2, when stable conditions, spray ammonia may be caused excessive, increase denitration operating cost.Long-time spray ammonia is excessive also can block air preheater, affects unit safety operation.
Two, NO is exported
xpattern: which is with the outlet NO of the setting of operating personnel
xconcentration is setting value, adopts denitration outlet NO
xconcentration is feedback, carries out PI adjustment.
This pattern has following shortcoming: owing to needing through all too many levels such as pyrolytic reaction, reactor catalysis, the analyses of CEMS systematic sampling after spray ammonia, this control lag is comparatively large, likely causes NO
xdischarge beyond standards, because environmental administration's performance assessment criteria is flue gas emission limit, if NO
xexceed standard and can cause the examination of environmental protection electricity price, cause economic loss to factory.
Summary of the invention
The technical problem to be solved in the present invention is: overcome the deficiency in prior art, provides a kind of denitration based on artificial intelligence to spray the automatic method of ammonia.
Based on the shortcoming of above control model, we propose the denitration algorithms of automatic optimization based on artificial intelligence.Based on the ammonia requirement that the method calculates by entrance NOX and exhaust gas volumn, strengthen and regulate computing dead band, ammonia requirement is carried out step setting, dry run personnel manual operation, auxiliary operations staff is manually biased if desired.With the ammonia requirement finally calculated as final setting value, carry out PI and regulate computing.
This kind of method efficiently solves the shortcoming of denitration efficiency pattern and NOX pattern, while guarantee outlet NOX discharge, effectively reduces and needs ammonia amount, saved denitration operating cost.
The technical solution adopted for the present invention to solve the technical problems is: a kind of automatic method of spray ammonia of the denitration based on artificial intelligence, and implementation step is:
Based on the automatic method of denitration spray ammonia of artificial intelligence, implementation step is:
(1), utilize and shut down chance, increase a set of denitration ammonia requirement computational logic;
(2) historical data, when utilizing unit operation, carries out necessary limit value to significant data, and limiting high lower bound is for normal operational parameters 1.1 times;
(3), after unit operation, in each operating mode section of unit operation, allow operations staff manually set denitration ammonia requirement, this ammonia requirement ensures: (1), outlet NOX do not exceed standard; (2), ammonia spraying amount is inexcessive;
(4), by unit historical data, manually set ammonia requirement value compare with running in the ammonia requirement automatically calculated and step (three), trend and the operations staff of the automatic calculating of attention set deviation by hand;
(5), according to drift correction calculated curve or function curve, make its matching run manual setting curve, increase if desired and run manual bias capability;
(6), denitration puts into operation automatically.
The invention has the beneficial effects as follows: present invention efficiently solves traditional denitration pattern, NO
xthe shortcoming that pattern is brought, at guarantee NO
xwhile discharge, significantly reduce ammonia requirement, save the cost that denitration runs.
Accompanying drawing explanation
Below in conjunction with drawings and Examples, the present invention is further described.
Fig. 1 is logic chart of the present invention.
Detailed description of the invention
The present invention is further illustrated with preferred embodiment by reference to the accompanying drawings now.These accompanying drawings are the schematic diagram of simplification, only basic structure of the present invention are described in a schematic way, and therefore it only shows the formation relevant with the present invention.
Based on the automatic method of denitration spray ammonia of artificial intelligence, implementation step is:
(1), utilizing and shut down chance, increasing a set of denitration ammonia requirement computational logic, as reserved the curve of some necessity, high lower bound, slope scheduling algorithm module during Fig. 1 Logical Configuration;
(2) historical data, when utilizing unit operation, carries out necessary limit value to significant data, and limiting high lower bound is for normal operational parameters 1.1 times, and such as operational factor is out-of-limit, then show this abnormal parameters; Because machine unit characteristic is different, every platform unit is had nothing in common with each other, as #3 unit inlet NO
x(nitrogen oxide) limits is 250mg/M3--450mg/M3, and urea operand limits is 0.22M3/h--0.33M3/h;
(3), after unit operation, in each operating mode section of unit operation, allow operations staff manually set denitration ammonia requirement, this ammonia requirement should ensure: (1), outlet NOX do not exceed standard; (2), ammonia spraying amount is not excessive, (refer to that the actual input amount of urea and unit denitration urea actual demand amount match, actual input amount is not more than actual demand amount);
(4), by unit historical data, manually set ammonia requirement value (the 3rd step) with the ammonia requirement automatically calculated and operation and compare, notice that the trend of calculating automatically and operations staff set deviation by hand;
(5), according to drift correction calculated curve or function curve (following FG019, FG027), make its matching run manual setting curve, increase if desired and run manual bias capability;
(6), denitration puts into operation automatically.
Manually set ammonia requirement value (the 3rd step) by the ammonia requirement automatically calculated with operation to compare, manual setting ammonia requirement: when automatic denitration ammonia can not drop into, the ammonia requirement of power-plant flue gas denitration needs operating personnel according to unit operation operating mode at that time, and NO
xconcentration of emission, manually sets in conjunction with practical operating experiences, and manually setting is that operating personnel are completed by operator station.
As shown in Figure 1, this is the function curve of the automatic actual motion of #3 unit denitration spray ammonia:
Above-described embodiment is only for illustrating technical conceive of the present invention and feature; its object is to person skilled in the art can be understood content of the present invention and be implemented; can not limit the scope of the invention with this; all equivalences done according to Spirit Essence of the present invention change or modify, and all should be encompassed in protection scope of the present invention.
Claims (1)
1., based on the automatic method of denitration spray ammonia of artificial intelligence, implementation step is:
(1), utilize and shut down chance, increase a set of denitration ammonia requirement computational logic;
(2) historical data, when utilizing unit operation, carries out necessary limit value to significant data, and limiting high lower bound is for normal operational parameters 1.1 times;
(3), after unit operation, in each operating mode section of unit operation, allow operations staff manually set denitration ammonia requirement, this ammonia requirement ensures: (1), outlet NOX do not exceed standard; (2), ammonia spraying amount is inexcessive;
(4), by unit historical data, manually set ammonia requirement value compare with running in the ammonia requirement automatically calculated and step (three), trend and the operations staff of the automatic calculating of attention set deviation by hand;
(5), according to drift correction calculated curve or function curve, make its matching run manual setting curve, increase if desired and run manual bias capability;
(6), denitration puts into operation automatically.
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| CN201510524941.XA CN105032182B (en) | 2015-08-25 | 2015-08-25 | The denitration spray automatic method of ammonia based on artificial intelligence |
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| CN105032182A true CN105032182A (en) | 2015-11-11 |
| CN105032182B CN105032182B (en) | 2018-01-30 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106512723A (en) * | 2016-12-26 | 2017-03-22 | 大唐黑龙江发电有限公司哈尔滨第热电厂 | Denitration automatic regulating loop device |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2013241860A (en) * | 2012-05-18 | 2013-12-05 | Mitsubishi Motors Corp | Exhaust emission control device for internal combustion engine |
| CN103674103A (en) * | 2013-10-18 | 2014-03-26 | 广东电网公司电力科学研究院 | Performance testing method for SCR (Selective Catalytic Reduction) flue gas denitration system |
| CN104504238A (en) * | 2014-11-21 | 2015-04-08 | 国家电网公司 | Method for predicting nitrogen oxide emission concentration of coal-fired unit based on neural network |
| CN104607042A (en) * | 2014-12-26 | 2015-05-13 | 东南大学 | Selective catalytic reduction (SCR) denitration system and method based on constraint predictive control |
| CN104826493A (en) * | 2015-04-23 | 2015-08-12 | 华北电力大学（保定） | Control method for selective catalytic reduction flue gas denitrification system |
-
2015
- 2015-08-25 CN CN201510524941.XA patent/CN105032182B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2013241860A (en) * | 2012-05-18 | 2013-12-05 | Mitsubishi Motors Corp | Exhaust emission control device for internal combustion engine |
| CN103674103A (en) * | 2013-10-18 | 2014-03-26 | 广东电网公司电力科学研究院 | Performance testing method for SCR (Selective Catalytic Reduction) flue gas denitration system |
| CN104504238A (en) * | 2014-11-21 | 2015-04-08 | 国家电网公司 | Method for predicting nitrogen oxide emission concentration of coal-fired unit based on neural network |
| CN104607042A (en) * | 2014-12-26 | 2015-05-13 | 东南大学 | Selective catalytic reduction (SCR) denitration system and method based on constraint predictive control |
| CN104826493A (en) * | 2015-04-23 | 2015-08-12 | 华北电力大学（保定） | Control method for selective catalytic reduction flue gas denitrification system |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106512723A (en) * | 2016-12-26 | 2017-03-22 | 大唐黑龙江发电有限公司哈尔滨第热电厂 | Denitration automatic regulating loop device |
| CN106512723B (en) * | 2016-12-26 | 2023-09-19 | 大唐黑龙江发电有限公司哈尔滨第一热电厂 | Denitration automatic regulating loop device |
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| CN105032182B (en) | 2018-01-30 |
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Address after: 063028 Liyuan Village North, Kaiping District, Tangshan City, Hebei Province Patentee after: Datang International Power Generation Co.,Ltd. Address before: 063028 Liyuan Village North, Kaiping District, Tangshan City, Hebei Province Patentee before: DOUHE POWER PLANT OF DATANG INTERNATIONAL POWER GENERATION CO.,LTD. |