CN106557027B - The system and method that ozone is run during optimization coking flue gas desulfurization and denitrification - Google Patents
The system and method that ozone is run during optimization coking flue gas desulfurization and denitrification Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 118
- CBENFWSGALASAD-UHFFFAOYSA-N Ozone Chemical compound [O-][O+]=O CBENFWSGALASAD-UHFFFAOYSA-N 0.000 title claims abstract description 97
- 239000003546 flue gas Substances 0.000 title claims abstract description 74
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 title claims abstract description 50
- 238000004939 coking Methods 0.000 title claims abstract description 32
- 238000005457 optimization Methods 0.000 title claims abstract description 22
- 238000006477 desulfuration reaction Methods 0.000 title claims abstract description 21
- 230000023556 desulfurization Effects 0.000 title claims abstract description 21
- 238000004519 manufacturing process Methods 0.000 claims abstract description 60
- MWUXSHHQAYIFBG-UHFFFAOYSA-N nitrogen oxide Inorganic materials O=[N] MWUXSHHQAYIFBG-UHFFFAOYSA-N 0.000 claims abstract description 39
- 230000002159 abnormal effect Effects 0.000 claims description 13
- 230000005540 biological transmission Effects 0.000 claims description 12
- 238000012544 monitoring process Methods 0.000 claims description 12
- 230000003009 desulfurizing effect Effects 0.000 claims description 10
- 238000012545 processing Methods 0.000 claims description 7
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 4
- 229910052760 oxygen Inorganic materials 0.000 claims description 4
- 239000001301 oxygen Substances 0.000 claims description 4
- 229910001369 Brass Inorganic materials 0.000 claims description 3
- 239000010951 brass Substances 0.000 claims description 3
- 238000004364 calculation method Methods 0.000 claims description 3
- 230000000694 effects Effects 0.000 claims description 3
- 230000008878 coupling Effects 0.000 claims 1
- 238000010168 coupling process Methods 0.000 claims 1
- 238000005859 coupling reaction Methods 0.000 claims 1
- 230000007613 environmental effect Effects 0.000 abstract description 6
- 239000007789 gas Substances 0.000 description 15
- XSQUKJJJFZCRTK-UHFFFAOYSA-N Urea Chemical compound NC(N)=O XSQUKJJJFZCRTK-UHFFFAOYSA-N 0.000 description 9
- 239000004202 carbamide Substances 0.000 description 9
- RAHZWNYVWXNFOC-UHFFFAOYSA-N Sulphur dioxide Chemical compound O=S=O RAHZWNYVWXNFOC-UHFFFAOYSA-N 0.000 description 7
- 239000003034 coal gas Substances 0.000 description 5
- 239000007788 liquid Substances 0.000 description 5
- 238000006243 chemical reaction Methods 0.000 description 4
- 238000005259 measurement Methods 0.000 description 4
- GQPLMRYTRLFLPF-UHFFFAOYSA-N Nitrous Oxide Chemical class [O-][N+]#N GQPLMRYTRLFLPF-UHFFFAOYSA-N 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000003647 oxidation Effects 0.000 description 3
- 238000007254 oxidation reaction Methods 0.000 description 3
- 230000001172 regenerating effect Effects 0.000 description 3
- 239000007921 spray Substances 0.000 description 3
- QGZKDVFQNNGYKY-UHFFFAOYSA-N Ammonia Chemical compound N QGZKDVFQNNGYKY-UHFFFAOYSA-N 0.000 description 2
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 description 2
- 239000006096 absorbing agent Substances 0.000 description 2
- BFNBIHQBYMNNAN-UHFFFAOYSA-N ammonium sulfate Chemical compound N.N.OS(O)(=O)=O BFNBIHQBYMNNAN-UHFFFAOYSA-N 0.000 description 2
- 229910052921 ammonium sulfate Inorganic materials 0.000 description 2
- 235000019504 cigarettes Nutrition 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- FGIUAXJPYTZDNR-UHFFFAOYSA-N potassium nitrate Chemical compound [K+].[O-][N+]([O-])=O FGIUAXJPYTZDNR-UHFFFAOYSA-N 0.000 description 2
- 238000011084 recovery Methods 0.000 description 2
- 239000002912 waste gas Substances 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- AOSFMYBATFLTAQ-UHFFFAOYSA-N 1-amino-3-(benzimidazol-1-yl)propan-2-ol Chemical compound C1=CC=C2N(CC(O)CN)C=NC2=C1 AOSFMYBATFLTAQ-UHFFFAOYSA-N 0.000 description 1
- VHUUQVKOLVNVRT-UHFFFAOYSA-N Ammonium hydroxide Chemical compound [NH4+].[OH-] VHUUQVKOLVNVRT-UHFFFAOYSA-N 0.000 description 1
- PQUCIEFHOVEZAU-UHFFFAOYSA-N Diammonium sulfite Chemical compound [NH4+].[NH4+].[O-]S([O-])=O PQUCIEFHOVEZAU-UHFFFAOYSA-N 0.000 description 1
- 238000010521 absorption reaction Methods 0.000 description 1
- 238000009825 accumulation Methods 0.000 description 1
- 229910021529 ammonia Inorganic materials 0.000 description 1
- 239000000908 ammonium hydroxide Substances 0.000 description 1
- 235000011130 ammonium sulphate Nutrition 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000003795 chemical substances by application Substances 0.000 description 1
- 230000006835 compression Effects 0.000 description 1
- 238000007906 compression Methods 0.000 description 1
- 238000011217 control strategy Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000005553 drilling Methods 0.000 description 1
- 230000009977 dual effect Effects 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 239000004744 fabric Substances 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 229910052739 hydrogen Inorganic materials 0.000 description 1
- 229910052757 nitrogen Inorganic materials 0.000 description 1
- 229910052698 phosphorus Inorganic materials 0.000 description 1
- 238000004886 process control Methods 0.000 description 1
- 238000000746 purification Methods 0.000 description 1
- 238000013139 quantization Methods 0.000 description 1
- 238000010992 reflux Methods 0.000 description 1
- 238000005507 spraying Methods 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 238000005406 washing Methods 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
- G05B13/042—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators in which a parameter or coefficient is automatically adjusted to optimise the performance
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- Artificial Intelligence (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Evolutionary Computation (AREA)
- Medical Informatics (AREA)
- Software Systems (AREA)
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- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
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Abstract
The invention discloses the systems that ozone during a kind of optimization coking flue gas desulfurization and denitrification is run, comprising: operating condition judges system, for determining current production status according to the real time data during desulphurization denitration；Timing module, for determining the commutation cycle according to identified current production status；Process model module, for according to identified current production status determination process model, the decoupling is used to carry out decoupling control to denitrification process according to the commutation cycle and the process model with control module, so that the ozone output quantity for denitrification process adapts to the variation of nitrogen oxides in effluent concentration, guarantee that nitrogen oxides output concentration is only influenced by the ozone output quantity.The invention also discloses the methods that ozone during a kind of optimization coking flue gas desulfurization and denitrification is run.The control to denitrification process may be implemented in the present invention, guarantees that it is strictly lower than environmental protection index requirement, while reducing ozone usage amount and its operating cost to greatest extent.
Description
Technical field
The present invention relates to coking denitrating flue gas and optimization control field more particularly to a kind of optimization coking flue gas desulfurization and denitrifications
The system and method for ozone operation in the process.
Background technique
China is maximum coking producing country in the world, the new environmental law focusing chemical industry formally implemented from January 1st, 2015
The sulfur dioxide of industry and the discharge index of nitrogen oxides propose stringent and specific quantization requirement.It is forced using wet-type ammonia rapid
Flow desulfurization and pressure oxidation urea denitrification integral process device are a kind of important means for handling coking industry flue gas.
As shown in Figure 1, the integral process device includes air-introduced machine 301, heat recovery boiler 302, booster fan
303, desulfurizing tower 304, denitrating tower 305 etc..
Its technique is as follows: process of coking flue gas is sent into heat recovery boiler 302 through air-introduced machine 301, and flue-gas temperature is by 300 DEG C
160 DEG C or so are down to, by booster fan 303, is converged before entering desulfurizing tower 304 with ozone road, the part NO in flue gas
NO is generated with ozone fast reaction2.Flue gas enters desulfurizing tower enriching section 306, by spraying, washing, is cooled to 60 DEG C or so, warp
Gas cap enters the absorber portion 307 of desulfurizing tower, the desulfurization absorbing liquid counter current contacting with top spray, SO2 and absorption in flue gas
Ammonium sulfite reaction in agent generates ammonium bisulfite, SO2It is able to removing purification.The liquid reflux of absorber portion bottom is to desulfurizing tower
The reservoir 308 of bottom.In order to restore the absorbability of absorbing liquid, ammonium hydroxide need to be supplemented.Desulfurizing tower top spray process water is to protect
Hold the liquid level of reservoir 308 in the reasonable scope.308 bottom of reservoir blasts air, by the part (NH in reservoir 3084)2SO3It is oxidized to (NH4)2SO4, for the spray-evaporation-concentration and subsequent processing of ammonium sulfate in enriching section 306.
Flue gas after desulfurization is mixed with ozone, and the part NO in flue gas and ozone fast reaction generate NO2, subsequently enter de-
305 lower part of nitre tower, the urea liquid counter current contacting with 305 top spray of denitrating tower, NO, NO2Occur also with the urea in solution
Original reaction generates N2、CO2And H2O completes denitration.The flue gas for reaching environmental emission standard is discharged into atmosphere at the top of denitrating tower 305,
Complete whole treatment processes of flue gas.
During the pressure oxidation and denitration of whole device, ozone amount is most important influence factor, and cost accounts for entire dress
Set 80% or more of totle drilling cost.And at this stage in conventional control methods, ozone is in maximum power operating status always, although going out
Mouth nitrous oxides concentration is lower than standard requirements, but causes the huge waste of the energy, considerably increases entreprise cost, is unfavorable for filling
The optimized operation set and technology popularize.
Summary of the invention
The present invention in view of the above-mentioned problems existing in the prior art, proposes smelly during a kind of optimization coking flue gas desulfurization and denitrification
The system and method for oxygen operation, may be implemented the control to denitrification process, guarantees that it is strictly lower than environmental protection index requirement, while most
Limits reduce ozone usage amount and its operating cost.
The system that ozone is run during a kind of optimization coking flue gas desulfurization and denitrification, which is characterized in that the system includes:
Operating condition judges that system, the operating condition judge that system is current for determining according to the real time data during desulphurization denitration
Production status；
Timing module, the timing module are used to redefine the commutation cycle according to identified current production status；
Process model module, the process model module are used to redefine process according to identified current production status
Model, the process model include inlet flue gas Disturbance Model and ozone-flue gas dynamic model and/or urea-flue gas dynamic analog
Type；
Decoupling and control module, the decoupling are used for control module according to current commutation cycle and current process mould
Type carries out decoupling control to denitrification process, so that the ozone output quantity for denitrification process adapts to nitrogen oxides in effluent concentration
Variation guarantees that nitrogen oxides output concentration is only influenced by the ozone output quantity.
Further, the operating condition judges that system is the expert system for including integrated database, knowledge base and inference machine,
In:
The integrated database is for obtaining the data that can react the current production status；
The knowledge base includes the brass tacks based on coking production process and the rule for production status judgement；
The inference machine is used to solve the current production status according to the mode of " rule+data-driven ".
Further, the process model is parameter model, nonparametric model or model of mind.
Further, the ozone-flue gas dynamic model and the urea-flue gas dynamic model are that one order inertia lag passes
Delivery function or second-order inertia lag transmission function, and/or,
It the use of amplitude is H, width T ', the period is that the pulse square wave of L is connected with following transmission function, forms the entrance
Flue gas Disturbance Model:Wherein, L is equal to the identified current commutation cycle, and T ' was equal under the commutation cycle
NOXConcentration fall time.
Further, the system also includes ozone operating condition assessment module, the ozone operating condition assessment modules
For calculating ozone running optimizatin effectiveness indicator, and/or
The system also includes ozone generator operational monitoring module, the ozone generator operational monitoring module is for supervising
Survey ozone generator operation data.
Further, the system also includes message processing module, the message processing module is responsible for summarizing every kind of production
The ozone running optimizatin effectiveness indicator and abnormal conditions information under operating condition, for improve the operating condition judge system with it is described
Decoupling and control module.
A method of optimization coking flue gas desulfurization and denitrification during ozone run, which is characterized in that this method include with
Lower step:
Step 201: current production status is determined according to the real time data during desulphurization denitration；
Step 202: judging whether production status changes, if so, entering step 203, otherwise enter step 204；
Step 203: process model module redefines process model, the process according to identified current production status
Model includes inlet flue gas Disturbance Model and ozone-flue gas dynamic model and/or urea-flue gas dynamic model；Timing module root
The commutation cycle is redefined according to identified current production status；
Step 204: decoupling and control module according to current commutation cycle and current process model to denitrification process into
Row decoupling control, so that the ozone output quantity for denitrification process adapts to the variation of nitrogen oxides in effluent concentration.
Further, this method is further comprising the steps of:
Step 205, it is determined whether there are commutation cycle misjudgment or other abnormal conditions, if so, 207 are entered step,
Otherwise 206 are entered step；
Step 206: calculating ozone running optimizatin effectiveness indicator；
Step 207: the timing module, process model module and decoupling restore last with control module and operate normally shape
State.
Further, this method is further comprising the steps of:
Step 208: when current production status terminates or abnormal conditions occurs, to a upper production status or occurring described different
Information before reason condition is analyzed.
Further, using ozone running optimizatin effectiveness indicator described in following performance Index Calculation:
Wherein, K is ozone running optimizatin effectiveness indicator, and η is weight, O (t)
For the sum of ozone amount in t moment denitrating tower and desulfurizing tower, t (n) is n-th of calculating cycle, and T is ozone running optimizatin effectiveness indicator
Calculating cycle, r NOXConcentration set point, y (t) are t moment NOXConcentration actual value.
The system and method that ozone is run during optimization coking flue gas desulfurization and denitrification of the invention, may be implemented to denitration
The control of process guarantees that it is strictly lower than environmental protection index requirement, at the same reduce to greatest extent ozone usage amount and its operation at
This.
Particularly, the present invention also has the following characteristics that
(1) using according to current operating data, judge that production process is divided into different operating conditions by system by operating condition, it is each
Include corresponding process model in process model module under operating condition, Optimization Work " dividing and rule " will be controlled.By this
Parallel-connection structure improves the precision of process model building and control.
(2) for coking industry production timing reversing the features such as, timing module, the disturbance of commutation process inlet flue gas are devised
Model and ozone-flue gas dynamic model dual model avoid and only rely on the Traditional controls mode such as disturbance feedforward or feedback and bring
Hysteresis quality or precision it is not high, fully achieve keep nitrogen oxides output valve it is steady, to greatest extent save ozone generator electricity
Consumption.
(3) ozone time-division operation performance indicator can react different periods system operation superiority and inferiority under each operating condition, can be work
The division reasonability of operating condition provides criterion in condition judgement system, also can be the control strategy of decoupling control module under each operating condition
It is provided with method and updates foundation.
Detailed description of the invention
Fig. 1 is denitration integrated device structural schematic diagram described in background technique；；
Fig. 2 is ozone operation optimizing system structural schematic diagram during coking flue gas desulfurization and denitrification provided by the invention；
Fig. 3 is ozone running optimizatin method flow diagram during coking flue gas desulfurization and denitrification provided by the invention；
Fig. 4 is the flue gas NO during commutation cycle LXConcentration variation.
Specific embodiment
The preferred embodiment of the present invention described with reference to the accompanying drawings.It will be apparent to a skilled person that this
A little embodiments are used only for explaining technical principle of the invention, it is not intended that limit the scope of the invention.
The system of ozone operation includes: during optimization coking flue gas desulfurization and denitrification of the invention of the invention
Operating condition judges that system 101, the operating condition judge system 101 for true according to the real time data during desulphurization denitration
Settled preceding production status；
Timing module 102, the timing module 102 are used to redefine commutation week according to identified current production status
Phase；
Process model module 103, the process model module 103 are used for again true according to identified current production status
Determine process model, the process model includes inlet flue gas Disturbance Model and ozone-flue gas dynamic model and/or urea-flue gas
Dynamic model；
It decouples and is used for according to the current commutation cycle and currently with control module 104, the decoupling with control module 104
Process model carries out decoupling control to denitrification process, so that the ozone output quantity for denitrification process adapts to nitrogen oxidation in flue gas
The variation of object concentration, and guarantee that nitrogen oxides output concentration is only influenced by ozone output quantity.
The system that ozone is run during optimization coking flue gas desulfurization and denitrification of the invention can be applied to existing coking system
System comprising denitration integrated device 111, process measurement instrument 110, executing agency 112 and DCS system 109 (DCS: are divided
Cloth control system) etc..
As shown in Fig. 2, the operating condition judges system 101 and timing module 102, process model module 103, DCS system 109
And process measurement instrument 110 be connected, by the modes such as industrial bus, Ethernet and its carry out data transmission.The operating condition judgement
System 101 can be from DCS system 109 or directly from the real time data during the acquisition desulphurization denitration of process measurement instrument 110, then
Current production status is determined according to the real time data.
In the present invention, production status refers to the working condition of process of coking, usually mainly divides according to the concentration of NOx in flue gas
For 3 class operating conditions, NOx mean concentration is respectively 450,500 and 600mg/m3, corresponding operating condition is respectively blast furnace gas (coking time
Such as 20 hours), blast furnace gas (coking time such as 18 hours), coke-stove gas.
In one embodiment, the operating condition judges that system 101 is include integrated database, knowledge base and inference machine special
Family's system, wherein the integrated database is for obtaining the data that can react the current production status, the knowledge base packet
Brass tacks and judgment rule based on coking production process are included, the inference machine is used for the mould according to " rule+data-driven "
Formula solves the current production status.
In one embodiment of the invention, the key index for reacting production status has flue gas flow rate, temperature, SO2/NOx
Concentration can be carried out the division of production status by soft clustering algorithms such as hard cluster or fuzzy clusterings, realized in the expert system
Merge similar production status to the maximum extent, distinguish different operating conditions, provides foundation for the selection of process model.
The timing module 102 is used to redefine the commutation cycle according to identified current production status.Commutation cycle
It is exactly the interval time of commutation process twice, it is related with kinds of gas.For example, kinds of gas is coke-stove gas, then commutation cycle
It is 30 minutes, coal gas is blast furnace gas, then the commutation cycle is 20 minutes.Production status has been determined, has determined that kinds of gas,
The commutation cycle is determined that.For example be currently coke-stove gas, then commutation cycle 30 minutes can be in 15 points of each integral point and 45 points
It commutates, can thus determine the disturbance time in advance, optimize operation on time.
Commutation process is the distinctive process of coking, and the coal gas and air of coking improve oneself by regenerative chamber A
Then temperature is burnt.The exhaust gas of generation is discharged from the regenerative chamber B of another side, since A is constantly coal gas and air heating, and it is high
Warm exhaust gas constantly makes B heat up, and over time, the temperature of A is lower and lower, and the temperature of B is higher and higher.So usually every 30 minutes
(or 20 minutes) need to exchange coal gas/air and waste gas direction, and coal gas and air is allowed to enter from regenerative chamber B, and exhaust gas is from accumulation of heat
Room A discharge.The effective use of waste-gas heat is ensured that in this way.
In commutation process, very tremendous influence is generated to NOx concentration.Fig. 4 is the cigarette of certain operating condition lower commutation cycle process
Gas NOx concentration data, it can be seen that every time when commutation, NOx concentration acutely declines, the water before being then slowly restored to
It is flat.The total time that M expression interference time in Fig. 4, i.e. commutation process impact NOx concentration, generally 12 minutes or so；T'
It indicates fall time, is that NOx concentration drops to time used in minimum point, generally 40 seconds when commutation starts.
In the present invention, the process model can be parameter model, nonparametric model or model of mind, be used for denitrification process
The optimization and decoupling and control of middle ozone amount.
Inlet flue gas Disturbance Model is for describing influence of the commutation process to nitrogen oxides in effluent concentration.Implement at one
It the use of amplitude is H, width T ', the period is the pulse square wave and transmission function of L in exampleSeries connection, inlet flue gas
Disturbance Model.Wherein, wherein L is equal to the identified current commutation cycle, and T ' is equal under the NOx concentration under the commutation cycle
Time drops, as shown in Figure 4.According to specific production equipment and technique, entrance cigarette can be identified using the methods of least square method
Unknown quantity H and P in gas disturbance model.
Ozone-flue gas dynamic model description is used for the ozone amount of denitrification process to NOx concentration in the flue gas finally discharged
It influences.One order inertia lag transmission function or second-order inertia lag transmission function can be used as ozone-flue gas dynamic model.
In one embodiment of the invention, ozone-flue gas dynamic model uses the form of following transmission function:Parameter T, K therein is determined according to specific production equipment and technique.
Urea-flue gas dynamic model description is used for the urea amount of denitrification process to NOx concentration in the flue gas finally discharged
It influences.One order inertia lag transmission function or second-order inertia lag transmission function can be used as ozone-flue gas dynamic model,
Such asOrParameter T, K, T therein1、T2According to specific production
Equipment and technique determine.
The decoupling receives the commutation cycle redefined by timing module 102 and process model mould with control module 104
The process model that block 103 redefines controls denitrification process using scheduled algorithm.Here, decoupling and control module
104 can be sent to control instruction DCS system 109, or control instruction can also be sent directly to by decoupling with control module 104
Relevant executing agency 112, to adjust ozone output quantity and/or urea output quantity.Ozone output quantity and/or urea output quantity root
It is determined according to inlet flue gas Disturbance Model, ozone-flue gas dynamic model and urea-flue gas dynamic model and NOx concentration setting value.
Since urea concentration is changing at any time, so needing to control ozone output quantity while urea variation, herein be related to two
Aspect content: decoupling and control, i.e., the case where ozone output quantity and urea output quantity all have an impact target NOx concentration
Under, by adjusting ozone output quantity, make influence of the exit NOx concentration only by ozone output quantity.Decoupling is adopted with control module 104
With being not limited to various advanced or intelligent decoupling and control algolithm.
The system that ozone is run during optimization coking flue gas desulfurization and denitrification of the invention may also include ozone operating condition
Assessment module 106 and/or ozone generator operational monitoring module 105.The ozone operating condition assessment module 106 is for calculating
Ozone running optimizatin effectiveness indicator, such as ozone running optimizatin is periodically calculated according to scheduled assessment criteria in each operating condition
Effectiveness indicator.The ozone generator operational monitoring module 105 is maintaining system just for monitoring ozone generator operation data
Often operating.
The ozone operating condition assessment module can be connected with DCS system 109, therefrom obtain current time desulfurizing tower and take off
The sum of ozone amount in nitre tower, the data such as nitrous oxides concentration setting value, current time actual concentrations value.
The ozone generator operational monitoring module 105 can obtain current ozone generator power, smelly from DCS system 109
The data such as oxygen total amount, running temperature, air compression efficiency, humidity.
It is of the invention the system also includes message processing module 107, the message processing module 107 runs feelings with ozone
Condition assessment module 106 and ozone generator operational monitoring module 105 are responsible for summarizing the ozone operation under every kind of production status
Effect of optimization index and abnormal conditions information judge system 101 and institute for updating and improving the operating condition after analysis is handled
State decoupling and control module 104.
The exception information includes that ozone generator efficiency is too low, running temperature is excessively high, outlet nitrous oxides concentration continues
It is normally produced more than influences such as setting values or there are the information of potential danger.
The system that ozone is run during optimization coking flue gas desulfurization and denitrification of the invention, may be implemented to denitrification process
Control guarantees that flue gas emission is strictly lower than environmental protection index requirement, while reducing ozone operating cost to greatest extent.
As shown in figure 3, the method that ozone is run during optimization coking flue gas desulfurization and denitrification of the invention includes following step
It is rapid:
Step 201: operating condition judges that system 101 determines current production status according to the real time data during desulphurization denitration；
Step 202: judging whether production status changes, if so, entering step 203, otherwise enter step 204；
Preferably, judge that system 101 judges whether production status changes by the operating condition.
Step 203: process model module 103 redefines process model according to identified current production status, described
Process model includes inlet flue gas Disturbance Model and ozone-flue gas dynamic model and/or urea-flue gas dynamic model；Timing mould
Block 102 redefines the commutation cycle according to identified current production status；
Step 204: decoupling is with control module 104 according to current commutation cycle and current process model to denitration
Denitrification process under journey, especially commutation process carries out decoupling control, so that the ozone output quantity for denitrification process adapts to
The variation of nitrogen oxides in effluent concentration.
Method of the invention can above system through the invention execute.
Further, the method described in the present invention is further comprising the steps of:
Step 205, it is determined whether there are commutation cycle misjudgment or other abnormal conditions, if so, 207 are entered step,
Otherwise 206 are entered step；
Step 206: calculating ozone running optimizatin effectiveness indicator；
Step 207: the timing module 102, process model module 103 and decoupling restore last with control module 104
Normal operating condition.
In order to determine whether commutation cycle misjudgment or other abnormal conditions, process measurement instrument 110 can be passed through
Detection system exports at any time, and the system output that will test is sent to ozone generator operational monitoring module 105, is occurred by ozone
Machine operational monitoring module 105 determines whether commutation cycle misjudgment or other abnormal conditions, to maintain the normal of system
Operating.This abnormal conditions can also be recorded in the database that operating condition judges in system 101 and DCS simultaneously.
The calculating of ozone running optimizatin effectiveness indicator can be by ozone operating condition assessment module 106 according to scheduled evaluation
Criterion periodically calculates ozone running optimizatin effectiveness indicator, and ozone running optimizatin effectiveness indicator can feed back to decoupling and control module
104, to form closed loop feedback control, or the update of system 101 and decoupling and control module 104 is judged for operating condition.It can
Use ozone running optimizatin effectiveness indicator described in following performance Index Calculation:
Wherein, K is ozone running optimizatin effectiveness indicator, and η is weight, and O (t) is ozone in t moment denitrating tower and desulfurizing tower
The sum of amount, t (n) are n-th of calculating cycle, and T is the calculating cycle of ozone running optimizatin effectiveness indicator, and r is to be discharged from denitrating tower
Flue gas in NOXConcentration set point, y (t) are t moment NO from the flue gas that denitrating tower is dischargedXConcentration actual value.K value is smaller, table
It is better to run the effect of optimization run with ozone for system in this bright period.
It further, can be with the K under longitudinal comparison, or even different production status between the different K values under identical production status
Value carries out lateral comparison after can also adding up by respective rule.For the division and merging criterion, decoupling and control module of production status
The adjusting of the 104 control principle of optimality provides foundation.
Method of the invention can comprise the further steps of:
Step 208: when current production status terminates or abnormal conditions occurs, to a upper production status or occurring described different
Information before reason condition is analyzed, and judges that system 101, decoupling and the update of control module 104 provide support for operating condition.
The basic principle and beneficial effect of the method for the present invention are identical as above system of the invention, in method of the invention not
Refer to that place can refer to the description to present system.
So far, it has been combined preferred embodiment shown in the drawings and describes technical solution of the present invention, still, this field
Technical staff is it is easily understood that protection scope of the present invention is expressly not limited to these specific embodiments.Without departing from this
Under the premise of the principle of invention, those skilled in the art can make equivalent change or replacement to the relevant technologies feature, these
Technical solution after change or replacement will fall within the scope of protection of the present invention.
Claims (10)
1. the system that ozone is run during a kind of optimization coking flue gas desulfurization and denitrification, which is characterized in that the system includes:
Operating condition judges that system, the operating condition judge system for determining current production according to the real time data during desulphurization denitration
Operating condition；
Timing module, the timing module are used to redefine the commutation cycle according to identified current production status；
Process model module, the process model module are used to redefine process mould according to identified current production status
Type, the process model include inlet flue gas Disturbance Model and ozone-flue gas dynamic model and/or urea-flue gas dynamic analog
Type；
Decoupling and control module, the decoupling are used for control module according to current commutation cycle and current process model pair
Denitrification process carries out decoupling control, so that the ozone output quantity for denitrification process adapts to the change of nitrogen oxides in effluent concentration
Change, guarantees that nitrogen oxides output concentration is only influenced by the ozone output quantity.
2. system according to claim 1, which is characterized in that the operating condition judge system be include integrated database, know
Know the expert system in library and inference machine, in which:
The integrated database is for obtaining the data that can react the current production status；
The knowledge base includes the brass tacks based on coking production process and the rule for production status judgement；
The inference machine is used to solve the current production status according to the mode of " rule+data-driven ".
3. system according to claim 1, which is characterized in that the process model be parameter model, nonparametric model or
Model of mind.
4. system according to claim 3, which is characterized in that the ozone-flue gas dynamic model and the urea-flue gas
Dynamic model is one order inertia lag transmission function or second-order inertia lags transmission function, and/or,
It the use of amplitude is H, width T ', the period is that the pulse square wave of L is connected with following transmission function, forms the inlet flue gas
Disturbance Model:
Wherein, L is equal to the identified current commutation cycle, and T ' is equal to the NO under the commutation cycleXConcentration fall time.
5. system described in any one of -4 according to claim 1, which is characterized in that
The system also includes ozone operating condition assessment module, the ozone operating condition assessment module is for calculating ozone fortune
Row effect of optimization index, and/or
The system also includes ozone generator operational monitoring module, the ozone generator operational monitoring module is smelly for monitoring
Machine operation data occurs for oxygen.
6. system according to claim 5, which is characterized in that
The system also includes message processing module, the message processing module is responsible for summarizing described smelly under every kind of production status
Oxygen running optimizatin effectiveness indicator and abnormal conditions information.
7. a kind of method that ozone is run during optimization coking flue gas desulfurization and denitrification, which is characterized in that this method includes following
Step:
Step 201: current production status is determined according to the real time data during desulphurization denitration；
Step 202: judging whether production status changes, if so, entering step 203, otherwise enter step 204；
Step 203: process model module redefines process model, the process model according to identified current production status
Including inlet flue gas Disturbance Model and ozone-flue gas dynamic model and/or urea-flue gas dynamic model；Timing module is according to institute
Determining current production status redefines the commutation cycle；
Step 204: decoupling and control module solve denitrification process according to current commutation cycle and current process model
Coupling control, so that the ozone output quantity for denitrification process adapts to the variation of nitrogen oxides in effluent concentration.
8. the method according to the description of claim 7 is characterized in that this method is further comprising the steps of:
Step 205, it is determined whether commutation cycle misjudgment or other abnormal conditions occur, if so, entering step 207, otherwise
Enter step 206；
Step 206: calculating ozone running optimizatin effectiveness indicator；
Step 207: the timing module, process model module and decoupling restore last normal operating condition with control module.
9. according to the method described in claim 8, it is characterized in that, this method is further comprising the steps of:
Step 208: when current production status terminates or abnormal conditions occurs, to a upper production status or the abnormal feelings occur
Information before condition is analyzed.
10. according to the method described in claim 8, it is characterized in that, being run using ozone described in following performance Index Calculation excellent
Change effectiveness indicator:
Wherein, K is ozone running optimizatin effectiveness indicator, and η is weight, O (t) be in t moment denitrating tower and desulfurizing tower ozone amount it
It is n-th of calculating cycle with, t (n), T is the calculating cycle of ozone running optimizatin effectiveness indicator, r NOXConcentration set point, y
It (t) is t moment NOXConcentration actual value.
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| CN110321955B (en) * | 2019-07-03 | 2021-03-19 | 北京市城市管理研究院（北京市环境卫生监测中心） | Malodorous gas monitoring method |
| CN115253620B (en) * | 2022-09-26 | 2023-01-10 | 保定正德电力技术有限公司 | Automatic control method and system for denitration ammonia injection of glass kiln |
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