CN103294015B - Complete set optimization control method for ethylene cracking furnace - Google Patents
Complete set optimization control method for ethylene cracking furnace Download PDFInfo
- Publication number
- CN103294015B CN103294015B CN201210055595.1A CN201210055595A CN103294015B CN 103294015 B CN103294015 B CN 103294015B CN 201210055595 A CN201210055595 A CN 201210055595A CN 103294015 B CN103294015 B CN 103294015B
- Authority
- CN
- China
- Prior art keywords
- cracking
- furnace
- cot
- cracking furnace
- pyrolysis
- 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
- 238000005336 cracking Methods 0.000 title claims abstract description 70
- 238000000034 method Methods 0.000 title claims abstract description 54
- 238000005457 optimization Methods 0.000 title claims abstract description 11
- VGGSQFUCUMXWEO-UHFFFAOYSA-N Ethene Chemical compound C=C VGGSQFUCUMXWEO-UHFFFAOYSA-N 0.000 title abstract description 14
- 239000005977 Ethylene Substances 0.000 title abstract description 10
- 238000005265 energy consumption Methods 0.000 claims abstract description 28
- 230000008569 process Effects 0.000 claims abstract description 27
- 238000000197 pyrolysis Methods 0.000 claims description 72
- 238000005516 engineering process Methods 0.000 claims description 20
- OTMSDBZUPAUEDD-UHFFFAOYSA-N Ethane Chemical compound CC OTMSDBZUPAUEDD-UHFFFAOYSA-N 0.000 claims description 15
- 239000011159 matrix material Substances 0.000 claims description 11
- 239000004215 Carbon black (E152) Substances 0.000 claims description 8
- 238000010790 dilution Methods 0.000 claims description 8
- 239000012895 dilution Substances 0.000 claims description 8
- 229930195733 hydrocarbon Natural products 0.000 claims description 8
- 150000002430 hydrocarbons Chemical class 0.000 claims description 8
- 239000002994 raw material Substances 0.000 claims description 8
- 238000004458 analytical method Methods 0.000 claims description 7
- 238000011161 development Methods 0.000 claims description 7
- 238000004140 cleaning Methods 0.000 claims description 6
- 239000000571 coke Substances 0.000 claims description 6
- 238000004364 calculation method Methods 0.000 claims description 4
- 230000010354 integration Effects 0.000 claims description 4
- 238000011217 control strategy Methods 0.000 claims description 3
- 238000001514 detection method Methods 0.000 claims description 3
- 230000000694 effects Effects 0.000 claims description 3
- 238000002474 experimental method Methods 0.000 claims description 3
- 238000011112 process operation Methods 0.000 claims description 3
- 230000007246 mechanism Effects 0.000 claims description 2
- 150000001993 dienes Chemical class 0.000 abstract description 6
- 239000002737 fuel gas Substances 0.000 abstract description 4
- QQONPFPTGQHPMA-UHFFFAOYSA-N propylene Natural products CC=C QQONPFPTGQHPMA-UHFFFAOYSA-N 0.000 abstract description 3
- 125000004805 propylene group Chemical group [H]C([H])([H])C([H])([*:1])C([H])([H])[*:2] 0.000 abstract description 3
- 238000003745 diagnosis Methods 0.000 abstract 1
- 239000007789 gas Substances 0.000 description 11
- ATUOYWHBWRKTHZ-UHFFFAOYSA-N Propane Chemical compound CCC ATUOYWHBWRKTHZ-UHFFFAOYSA-N 0.000 description 6
- 230000001276 controlling effect Effects 0.000 description 5
- 230000006870 function Effects 0.000 description 4
- 238000004939 coking Methods 0.000 description 3
- 238000005984 hydrogenation reaction Methods 0.000 description 3
- 238000004519 manufacturing process Methods 0.000 description 3
- 239000012071 phase Substances 0.000 description 3
- 239000001294 propane Substances 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 2
- 238000010791 quenching Methods 0.000 description 2
- 230000000171 quenching effect Effects 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000001311 chemical methods and process Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000012631 diagnostic technique Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000004134 energy conservation Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 239000012530 fluid Substances 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 238000004989 laser desorption mass spectroscopy Methods 0.000 description 1
- 239000007791 liquid phase Substances 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 238000011020 pilot scale process Methods 0.000 description 1
- 230000005855 radiation Effects 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
- 239000000243 solution Substances 0.000 description 1
- 238000003860 storage Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- 230000001131 transforming effect Effects 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Classifications
-
- C—CHEMISTRY; METALLURGY
- C10—PETROLEUM, GAS OR COKE INDUSTRIES; TECHNICAL GASES CONTAINING CARBON MONOXIDE; FUELS; LUBRICANTS; PEAT
- C10G—CRACKING HYDROCARBON OILS; PRODUCTION OF LIQUID HYDROCARBON MIXTURES, e.g. BY DESTRUCTIVE HYDROGENATION, OLIGOMERISATION, POLYMERISATION; RECOVERY OF HYDROCARBON OILS FROM OIL-SHALE, OIL-SAND, OR GASES; REFINING MIXTURES MAINLY CONSISTING OF HYDROCARBONS; REFORMING OF NAPHTHA; MINERAL WAXES
- C10G9/00—Thermal non-catalytic cracking, in the absence of hydrogen, of hydrocarbon oils
- C10G9/14—Thermal non-catalytic cracking, in the absence of hydrogen, of hydrocarbon oils in pipes or coils with or without auxiliary means, e.g. digesters, soaking drums, expansion means
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Landscapes
- Chemical & Material Sciences (AREA)
- Oil, Petroleum & Natural Gas (AREA)
- Physics & Mathematics (AREA)
- Thermal Sciences (AREA)
- Engineering & Computer Science (AREA)
- Chemical Kinetics & Catalysis (AREA)
- General Chemical & Material Sciences (AREA)
- Organic Chemistry (AREA)
- Production Of Liquid Hydrocarbon Mixture For Refining Petroleum (AREA)
Abstract
The invention discloses a complete set optimization control method for an ethylene cracking furnace, which comprises the steps of establishing a cracking depth model, implementing COT advanced control, optimizing key process parameters, realizing integrated application, establishing a hearth flame diagnosis system and establishing a cracking furnace energy management system. The method of the invention improves the yield of ethylene and propylene (namely diene) and reduces the energy consumption of the cracking furnace. The method realizes the optimized control of the process, reduces the serious interference of frequent manual operation on COT, and weakens the fluctuation range of operation when events such as fuel gas pressure, dryer switching and the like occur, thereby ensuring that the COT stability of the whole device is maintained at a higher level. And a cracking depth model of the cracking furnace device is established, and the operating conditions are optimized under different cracking working conditions, so that the diene yield is maintained at a higher level, and the energy-saving optimization of the cracking furnace is realized.
Description
Technical field
The present invention relates to a kind of control method, particularly the complete optimal control method of a kind of ethane cracking furnace.
Background technology
Ethane cracking furnace is the nucleus equipment of ethylene unit, different cracking stocks corresponds to the different type of furnaces and has different optimised process operating conditionss, for cracking stock and the specific type of furnace of certain character, under the prerequisite meeting target running period and product yield, there is its optimum cracking temperature, inlet amount and dilution ratio, cracking severity model is needed to evaluate raw material, to determine best process condition.
From cracking stock to ethene, the output of propylene, main qualitative change process all completes in pyrolysis furnace.Stable, long period, the production at high load of pyrolysis furnace are the guarantees that ethylene unit normally runs.Fuel gas fluctuates the hot-restriking die, the change of component of raw material, the process fluctuations of associative cell that cause, all can affect the quiet run of pyrolysis furnace.Ethylene unit has the features such as disturbing factor is many, production schedule conversion is frequent.
Realizing in process of the present invention, inventor finds that prior art at least exists following problem: the energy consumption of existing ethane cracking furnace control method pyrolysis furnace is high, normal running and when putting forward the amount of falling the flow rate fluctuation of pyrolysis furnace combined feed larger.
Summary of the invention
The object of the embodiment of the present invention is the defect for above-mentioned prior art, provides a kind of and reduces energy consumption, the complete optimal control method of the ethane cracking furnace that diene yield is high.
The technical scheme that the present invention takes to achieve these goals is:
The complete optimal control method of a kind of ethane cracking furnace, is characterized in that, comprise the following steps:
(1) cracking severity model is set up
Gather the cracking residence time under pyrolysis furnace steady operating mode, pyrolysis gas outlet temperature, pyrolysis gas top hole pressure, gas oil ratio, pyrolysis gas number of components according to this and cracking stock character, the method establishment cracking severity model combined with data-driven modeling by Analysis on Mechanism;
(2) COT (Coil Outlet Temperature, pyrolysis furnace outlet temperature) Dynamic matrix control is implemented
The dynamic hydrocarbon charging control technology based on DCS (Distributed Control System (DCS))/host computer is adopted to implement COT Dynamic matrix control;
(3) optimize key process parameter, realize integra-tion application
After setting up Energy consumption of cracking furnace optimization computation model, each variable is inputted by Optimized model demand, the physical parameter of raw material or process operation parameter by experiment room data base set procedure parameter real-time data base of unifying obtain in real time, if do not have corresponding Database Systems manually to input, running optimizatin program, at pyrolysis furnace turnout, boiler tube different phase COT calculates best dilution ratio and COT parameter under allowing cracking maximum temperature and cracking stock constraint condition, result of calculation is after process management personnel confirm, assign to operator as technology controlling and process index, setting value manually inputs pyrolysis furnace Dynamic matrix control device by operator, realize inlet amount, COT, the Optimum Operation of dilution ratio,
(4) furnace flame diagnostic system is set up
Utilize Microsoft Excel (the superior trial balance of Microsoft) and Matlab (Matrix Laboratory, matrix labotstory) technology, adopt VBA (Visual Basic for Applications, program language) and COM (the Component Object Model) mode of programming realize Excel (Microsoft's spreadsheet software) expansion functionally, realize data acquisition, graphic software platform and flame diagnostic analysis;
(5) pyrolysis furnace energy management system is set up
Online energy management system is used to set up pyrolysis furnace energy management system.
The embodiment of the described dynamic hydrocarbon charging control technology based on DCS/ host computer is: formerly control host computer development behavior hydrocarbon charging control strategy, according to first detection examination and put into operation effect real time modifying parameter or steering logic, reduce the risk first controlling implementation process; At DCS development logic interface, accept the instruction performing host computer, the instruction of executable operations personnel, and the security judging various instruction, if be judged as maloperation, then will not perform and point out.
The beneficial effect that the technical scheme that the embodiment of the present invention provides is brought is:
Method of the present invention is adopted to improve ethene and propylene (i.e. diene) yield.The optimal control of implementation procedure, reduces the severe jamming of frequent manual operation to COT, weakens the fluctuating range of operation when the event such as fuel gas pressure, exsiccator switching occurs, thus ensures that the steady rate of the COT of whole device maintains higher level.Set up the cracking severity model of cracking furnace installation, optimization of operating condition is carried out to different cracking operating modes, make diene yield maintain higher level, achieve the energy saving optimizing of pyrolysis furnace.After using the Optimized-control Technique method of ethane cracking furnace, COT controls steadily, to significantly increase the yield of high-value product.
Accompanying drawing explanation
Fig. 1 is the operation schematic diagram of the complete optimal control method of ethane cracking furnace of the present invention.
Embodiment
For making the object, technical solutions and advantages of the present invention clearly, below in conjunction with accompanying drawing, embodiment of the present invention is described further in detail.
See Fig. 1, according to explained hereafter present situation and demand, the data of laboratory information management system and DCS control system collected by cracking severity model, laboratory Data in Information Management System is analyzed from laboratory, the data of DCS control system are from field instrument, calculate pyrolysis furnace key operation index COT and gas oil ratio, its result and pyrolysis furnace coke cleaning, the data such as energy consumption input optimization computation model in the lump, be that optimization aim calculates best COT and gas oil ratio Con trolling index with energy consumption minimized, the data calculated are after process management personnel examination & verification, assign to pyrolysis furnace advanced control system, ' edge ' that realized these key operation indexs by pyrolysis furnace advanced control system operates.Simultaneously, real-time data base collection also preserves the related data of DCS control system, data required for furnace flame diagnostic system and Energy consumption of cracking furnace management system read from real-time data base, calculate and illustrate burning and the status of energy consumption of pyrolysis furnace furnace flame, instruct the proportioning of process technology management personnel adjustment burner hearth fuel gas and air, the unit abnormal to power consumption processes or overhauls, and reduces the energy consumption of pyrolysis furnace from technological operation aspect.
Method of the present invention is applied at Lanzhou Petrochemical 460,000 tons/year of ethylene units, and the pyrolysis furnace of this device adopts the SC-1 type tube cracking furnace of KBR and ExxonMobil joint development.The technological process of pyrolysis furnace can be divided into several parts such as raw material preheating, convection section, radiation section, Pintsch process cold-peace heat recovery out of breath.
Pyrolysis furnace has five kinds of different raw materials: LPG, propane, two kinds of different naphtha feed, hydrogenation tail oil, cycle ethane/propane.Control for Pyrolysis Furnace Area comprises 5 SCORE SC-1 type pyrolysis furnaces, and the ethene designed capacity of every platform pyrolysis furnace is 16.25 tons/hour, enter the process fluid of pyrolysis furnace parallel be divided into 8 groups, and 5 different groups of pyrolysis furnace can cracking two kinds of raw materials.Each group of pyrolysis furnace can coke cleaning online when other group carries out cracking operation.The project organization of three (101B, 102B, 103B) is had to be applicable to cracking mixing naphtha and/or hydrogenation tail oil in five SC-1 pyrolysis furnaces.In these pyrolysis furnaces, the feeding line of every platform pyrolysis furnace is divided into Liang Geban district (each halfth district has four groups), and each halfth district can cracking naphtha or hydrogenation tail oil.Other two pyrolysis furnaces (104B, 105B) are used for cracking mixing naphtha, LPG and (or) ethane/propane.
The ethane cracking furnace complete optimal control method specific implementation process of the embodiment of the present invention is as follows:
1, cracking severity model is set up
For specific ethane cracking furnace, by the cracking residence time under a harvester period steady operating mode, pyrolysis gas outlet temperature, pyrolysis gas top hole pressure, gas oil ratio, pyrolysis gas number of components according to this and cracking stock character, with the method establishment pyrolysis furnace model of data-driven modeling.
According to mixed material character, pyrolysis furnace design and pyrolysis furnace service data, calculate one group of pyrolysis furnace service data and 56 kinds of (virtual) component pyrolysis furnace yields, laboratory is analyzed to the physical data that can not provide, need to set up this physical parameter regression model by the knowledge of chemical process and system modelling.Simultaneously with these data and cracking furnace pipe coking rate measured value, set up the coking rate model of gas phase and liquid-phase pyrolysis stove, being converted by coking rate by commutation factor is pyrolysis furnace coke cleaning period energy consumption.
Then use pilot scale data or field data calibration model, make the result of model prediction consistent with plant running data, meet the demand of pyrolysis furnace analog computation.Application-aware analytical approach sets up dilution ratio, correlation model between COT and yield of ethene.
2, COT Dynamic matrix control is implemented
Adopt the dynamic hydrocarbon charging control technology based on DCS/ host computer, its embodiment is: formerly control host computer development behavior hydrocarbon charging control strategy, according to first detection examination and put into operation effect real time modifying parameter or steering logic, reduce the risk first controlling implementation process; At DCS development logic interface, accept the instruction performing host computer, the instruction of executable operations personnel, and the security judging various instruction, if be judged as maloperation, then will not perform and point out.
The algorithm of host computer Dynamic matrix control is primarily of compositions such as COT deviation branch balance control technology, combined feed control technologys between average COT control technology, each bypass duct.This system combines with pyrolysis furnace depth model and tentatively forms ethane cracking furnace COT Optimized-control Technique, has defined necessarily integra-tion application.
3, optimize key process parameter, realize integra-tion application
With cracking severity model, Energy consumption of cracking furnace computation model, pyrolysis furnace coke cleaning period model for constraint, optimization aim is minimised as with Energy consumption of cracking furnace, after setting up Energy consumption of cracking furnace optimization computation model, each variable is inputted by Optimized model demand, the physical parameter of raw material or process operation parameter can room Database Systems (as LIMS) and procedure parameter real-time data base (as Honeywell PHD) obtain, if do not have corresponding Database Systems manually to input by experiment in real time.Running optimizatin program, best dilution ratio and COT parameter is calculated under allowing cracking maximum temperature and cracking stock constraint condition at pyrolysis furnace turnout, boiler tube different phase COT, result of calculation is after process management personnel confirm, assign to operator as technology controlling and process index, setting value manually inputs pyrolysis furnace Dynamic matrix control device by operator, realizes ' edge ' operation of inlet amount, COT, dilution ratio;
4, pyrolysis furnace furnace flame diagnostic system is set up
Utilize Microsoft Excel and Matlab technology, adopt the mode of VBA and COM programming to realize Excel expansion functionally, realize data acquisition, graphic software platform and flame diagnostic analysis;
In data acquisition function module, the main com interface technology adopting Excel.Utilize the data transmission interface that real-time data base provides, according to parameters set and the instruction of user of service, input the time period of data to be analyzed, sample frequency and PHD database item, click and obtain, read the historical data (each cracking furnace pipe COT temperature) of corresponding technique item, and being kept in Excel list, these data not only can be used for furnace flame temperature diagnostic, can also be used for the daily form of technologist, statistics or industrial analysis.
In graphic software platform and analytic function module, main employing Matlab and Excel Mixed-Programming Technology.Under Matlab programmed environment, realize the functions such as interactive interface, data transmission, data analysis, data 2D/3D display, data dependence one by one, compiling of application is Com file by application Matlab compiler; Under Excel programmed environment, quote the Com class that Matlab generates, patterned data message then will be needed to be transmitted by standardized class function, finally realize diagnostic software.
The stability of pyrolysis furnace furnace flame is very large on the impact of COT, and flame instability can cause the cracking furnace pipe temperature temperature runaway of local, greatly have impact on the energy consumption (showing as coke cleaning period to shorten) of pyrolysis furnace.Exploitation fire box temperature diagnostic system, the impact that graphic software platform nozzles air door fluctuates on COT, the correlativity between each data of theory calculate, instructs technologists how to adjust nozzles air door, solves pyrolysis furnace COT quiet run problem, realizes energy-saving and cost-reducing.
5, Energy consumption of cracking furnace management system is set up
Use online energy management system (EMS), to reach long-term energy-conservation object.The main technological route of EMS system is: 1) determine that the key parameter of energy unit input end and output terminal respectively used by pyrolysis furnace; 2) pyrolysis furnace battery limit (BL) key energy driving factors are determined; 3) energy object of pyrolysis furnace battery limit (BL) is set; 4) Key Performance Indicator is defined; 5) data acquisition, fail-safe analysis, data filtering, compensation data, Energy Conversion is carried out; 6) the operational objective value of pyrolysis furnace battery limit (BL) key energy driving factors is determined; 7) weigh energy consumption efficiency, quantize energy management index.Pyrolysis furnace EMS management system can adopt C/S and B/S framework, for different user provides consumption information, server end realizes automatic data collection, energy consumption calculation and result and stores, and administration and supervision authorities user can check ethylene unit service data and energy consumption data by client or browser.
Energy consumption monitoring and evaluation system are established to 5 pyrolysis furnaces of ethylene unit, quenching oil column, quenching water column and relevant heat interchanger, the energy consumption of detail display and tracking equipment and data, the technology platform of combined mathematical module and energy-optimised instrument, carry out operation to improve and technological transformation, finally achieve the target reducing comprehensive energy consumption.
After adopting technology of the present invention, according to ethylene unit state of art and Production requirement, pyrolysis furnace key operation index can be optimized, utilizes furnace flame diagnostic techniques to instruct the technological operation of pyrolysis furnace, realize pyrolysis furnace even running, improve diene yield.And energy-optimised management system, then monitor the energy consumption of pyrolysis furnace, instruct process operator to carry out improving and transforming, finally realize the target that cracker comprehensive energy consumption reduces.
One of ordinary skill in the art will appreciate that all or part of step realizing above-described embodiment can have been come by hardware, the hardware that also can carry out instruction relevant by program completes, described program can be stored in a kind of computer-readable recording medium, the above-mentioned storage medium mentioned can be ROM (read-only memory), disk or CD etc.
The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, within the spirit and principles in the present invention all, any amendment done, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (2)
1. the complete optimal control method of ethane cracking furnace, is characterized in that, comprise the following steps:
(1) cracking severity model is set up
Gather the cracking residence time under pyrolysis furnace steady operating mode, pyrolysis gas outlet temperature, pyrolysis gas top hole pressure, gas oil ratio, pyrolysis gas number of components according to this and cracking stock character, the method establishment cracking severity model combined with data-driven modeling by Analysis on Mechanism;
(2) COT Dynamic matrix control is implemented
The dynamic hydrocarbon charging control technology based on DCS/ host computer is adopted to implement COT Dynamic matrix control;
(3) optimize key process parameter, realize integra-tion application
With cracking severity model, Energy consumption of cracking furnace computation model, pyrolysis furnace coke cleaning period model for constraint, be minimised as optimization aim with Energy consumption of cracking furnace, set up Energy consumption of cracking furnace and optimize computation model, after setting up Energy consumption of cracking furnace optimization computation model, optimize computation model demand by Energy consumption of cracking furnace and input each variable, the physical parameter of raw material or process operation parameter by experiment room data base set procedure parameter real-time data base of unifying obtain in real time, if do not have corresponding Database Systems manually to input, running optimizatin program, at pyrolysis furnace turnout, boiler tube different phase COT calculates best dilution ratio and COT parameter under allowing cracking maximum temperature and cracking stock constraint condition, result of calculation is after process management personnel confirm, assign to operator as technology controlling and process index, setting value manually inputs pyrolysis furnace Dynamic matrix control device by operator, realize inlet amount, COT, the Optimum Operation of dilution ratio,
(4) furnace flame diagnostic system is set up
Utilize Microsoft Excel and Matlab technology, adopt the mode of VBA and COM programming to realize Excel expansion functionally, realize data acquisition, graphic software platform and flame diagnostic analysis;
(5) pyrolysis furnace energy management system is set up
Online energy management system is used to set up pyrolysis furnace energy management system.
2. the complete optimal control method of ethane cracking furnace according to claim 1, it is characterized in that, the embodiment of the described dynamic hydrocarbon charging control technology based on DCS/ host computer is: formerly control host computer development behavior hydrocarbon charging control strategy, according to first detection examination and put into operation effect real time modifying parameter or steering logic, reduce the risk first controlling implementation process; At DCS development logic interface, accept the instruction performing host computer, the instruction of executable operations personnel, and the security judging various instruction, if be judged as maloperation, then will not perform and point out.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210055595.1A CN103294015B (en) | 2012-03-05 | 2012-03-05 | Complete set optimization control method for ethylene cracking furnace |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210055595.1A CN103294015B (en) | 2012-03-05 | 2012-03-05 | Complete set optimization control method for ethylene cracking furnace |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103294015A CN103294015A (en) | 2013-09-11 |
| CN103294015B true CN103294015B (en) | 2015-08-05 |
Family
ID=49095082
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201210055595.1A Active CN103294015B (en) | 2012-03-05 | 2012-03-05 | Complete set optimization control method for ethylene cracking furnace |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103294015B (en) |
Families Citing this family (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103713604B (en) * | 2013-12-26 | 2016-01-13 | 东北大学 | A kind of industrial pyrolysis furnace real time operation optimizing based on data-driven and control method |
| KR102396612B1 (en) * | 2016-06-30 | 2022-05-12 | 엑손모빌 케미칼 패턴츠 인코포레이티드 | Method and system for operation of high pressure ethylene polymerization unit |
| CN107450314B (en) * | 2017-07-28 | 2024-02-20 | 中国寰球工程有限公司 | System and method for controlling full-operation period cracking depth of ethylene cracking furnace |
| CN107958137B (en) * | 2017-11-27 | 2021-10-26 | 中国石油化工股份有限公司 | Matlab and Excel-based catalytic cracking yield prediction method |
| TWI831864B (en) * | 2018-12-27 | 2024-02-11 | 美商Ｂｌ科技公司 | System and method for dynamic monitoring and control of a process gas compressor |
| TR201902986A2 (en) * | 2019-02-27 | 2020-09-21 | Petkim Petrokimya Holding Anonim Sirketi | Production optimization method for ethylene furnaces. |
| CN118311864B (en) * | 2024-06-11 | 2024-08-16 | 成都格莱精密仪器有限公司 | Cracking control method and device, electronic equipment and storage medium |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101620414A (en) * | 2009-08-12 | 2010-01-06 | 华东理工大学 | Method for optimizing cracking depth of industrial ethane cracking furnace on line |
| EP2189436A1 (en) * | 2008-11-25 | 2010-05-26 | Petrochina Company Limited | A method of producing ethylene by using refinery C4 |
| CN102053595A (en) * | 2009-10-30 | 2011-05-11 | 中国石油化工股份有限公司 | Method for controlling cracking depth of cracking furnace in ethylene device |
| CN102213949A (en) * | 2010-04-08 | 2011-10-12 | 中国石油化工股份有限公司 | Method for optimizing value of ethylene device |
| CN102289200A (en) * | 2010-06-18 | 2011-12-21 | 中国石油化工股份有限公司 | Automatic on-line control method for production operation of industrial cracking furnace |
| CN102289198A (en) * | 2010-06-18 | 2011-12-21 | 中国石油化工股份有限公司 | Automatic online control method for production operation of industrial cracking furnace |
-
2012
- 2012-03-05 CN CN201210055595.1A patent/CN103294015B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2189436A1 (en) * | 2008-11-25 | 2010-05-26 | Petrochina Company Limited | A method of producing ethylene by using refinery C4 |
| CN101620414A (en) * | 2009-08-12 | 2010-01-06 | 华东理工大学 | Method for optimizing cracking depth of industrial ethane cracking furnace on line |
| CN102053595A (en) * | 2009-10-30 | 2011-05-11 | 中国石油化工股份有限公司 | Method for controlling cracking depth of cracking furnace in ethylene device |
| CN102213949A (en) * | 2010-04-08 | 2011-10-12 | 中国石油化工股份有限公司 | Method for optimizing value of ethylene device |
| CN102289200A (en) * | 2010-06-18 | 2011-12-21 | 中国石油化工股份有限公司 | Automatic on-line control method for production operation of industrial cracking furnace |
| CN102289198A (en) * | 2010-06-18 | 2011-12-21 | 中国石油化工股份有限公司 | Automatic online control method for production operation of industrial cracking furnace |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103294015A (en) | 2013-09-11 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103294015B (en) | Complete set optimization control method for ethylene cracking furnace | |
| Klemeš et al. | Heat transfer enhancement, intensification and optimisation in heat exchanger network retrofit and operation | |
| Shivakumar et al. | Drivers of renewable energy deployment in the EU: An analysis of past trends and projections | |
| US10739798B2 (en) | Incipient temperature excursion mitigation and control | |
| CN103289725B (en) | Energy-saving optimization control method of ethylene cracking furnace | |
| US10620598B2 (en) | Methods and systems for controlling generating units and power plants for improved performance | |
| CN102566551B (en) | Data mining-based method for analyzing thermal power plant operation index optimal target value | |
| CN101221415B (en) | Plant control apparatus | |
| CN100334047C (en) | Intelligent method for controlling cracking severity of cracking furnace in ethylene equipment | |
| CN102053595A (en) | Method for controlling cracking depth of cracking furnace in ethylene device | |
| CN101529355A (en) | On-line monitoring and diagnostics of a process using multivariate statistical analysis | |
| CN101187803B (en) | Ammonia converter production optimization method based on data excavation technology | |
| CN101529354A (en) | Abnormal situation prevention in a coker heater | |
| CN103605821B (en) | Ethylene cracking furnace group load distribution optimization method | |
| JP2013178045A (en) | Coal-fired plant control device, and the coal-fired plant | |
| Weigold et al. | Method for the application of deep reinforcement learning for optimised control of industrial energy supply systems by the example of a central cooling system | |
| CN110252087B (en) | Intelligent optimization control system for crude benzene recovery process | |
| JP5410480B2 (en) | Plant control equipment | |
| CN103870877A (en) | System and method for intelligently controlling boiler combustion based on neural network | |
| Lavric | Process Design, Integration and Optimisation: advantages, challenges and drivers | |
| Svensson et al. | Reasons to apply operability analysis in the design of integrated biorefineries | |
| WO2017099687A1 (en) | A control system for modeling and optimizing a diesel hydroprocessing unit | |
| Máša et al. | Using a utility system grey-box model as a support tool for progressive energy management and automation of buildings | |
| Pavão et al. | Financial risk management in heat exchanger networks considering multiple utility sources with uncertain costs | |
| Bulatov | Software tools for heat integration |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |