CN106444672A - Molecular-level real time optimization (RTO) method for oil refining and petrochemical device - Google Patents
Molecular-level real time optimization (RTO) method for oil refining and petrochemical device Download PDFInfo
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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
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
- G05B19/41865—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by job scheduling, process planning, material flow
-
- 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
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/32—Operator till task planning
- G05B2219/32252—Scheduling production, machining, job shop
-
- 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]
Abstract
The invention discloses a molecular-level RTO method for an oil refining and petrochemical device. The method mainly comprises the steps that molecular composition and physicochemical properties of a product are predicted according to molecular compositions of raw materials, a model is optimized, and a production scheme is optimized. The method can be used to optimize the oil refining and petrochemical device in real time, maintain the device in the optimal state always, improve economic benefits, and reduce energy consumption.
Description
Technical field
The invention belongs to petroleum refining and Petrochemical Production Technologies field and in particular to a kind of molecular level excellent in real time
Change method.
Background technology
Real-time optimization（English full name Real Time Optimization, english abbreviation RTO）It is oil refining and petroleum chemical enterprise
The scheduling operation that realizes a plan controls the key link of Integrated optimization.Meter can will be produced based on real-time optimization
Draw, scheduling scheduling, operation optimization, operational control entirety insertion, be truly realized optimization aim from top to bottom, from the overall situation to local
Decompose layer by layer and closed loop control.Real-time optimization can be according to working condition, market factors, the change of enterprise plan and real-time adjustment
Production decision is so that whole production is continuously maintained in optimum state（As shown in Figure 1）.Based on real-time optimization technology, do not increasing
In the case of substantial equipment investment, the operation potentiality of existing process units can be given full play to, effectively improve major technique economy
Index, effectively realizes volume increase, energy-conservation, the target of consumption reduction, is that enterprise creates the new profit.Therefore, real-time optimization is oil refining and stone
Change enterprise to realize a plan the indispensable key of scheduling operation Integrated optimization one ring.
The molecular chaperones of crude oil are complicated, containing having more than 200,000 molecular components, even lighter gasoline, diesel product
There is more than 300 molecule.But current enterprise is due to cannot grasp the concrete molecule structure of crude oil, semi-finished product product and finished product product in detail
Become, enterprise is mostly based on the macroscopic properties data that chemical examination draws（As done, flash-point, sulfur content, arene content etc.）, incorporate experience into
Device is managed, does not understand raw material and product component from molecule angle, and design corresponding essence for different molecular composition
Refinement production decision, realizes Optimal Scheduling, scheduling and the operation of molecular level.At present, oil refining and petrochemical equipment simulation and optimization
Research is mostly based on lumping strategy（Component similar for kinetic property is replaced with a virtual component, then constructs these collection
The method of the reaction network of total component）, raw molecule in oil refining and chemical process is constituted in detail and molecule level is intrinsic
Kinetics mechanism does not deeply use.This method based on empirical model or lumped model, is only covered in empirical data
There is certain accuracy in condition and range；When raw material changes, or when reaction condition exceeds historical data coverage, its essence
Exactness can be affected by very big, lead to effect of optimization not good, even result in the generation of loss, be therefore difficult to global optimization and reality
Shi Youhua.And the real-time optimization method based on raw material detailed molecular composition and molecule level intrinsic kinetics mechanism can be from molecule
Level is recognizing petrochemical iy produced process, more Accurate Prediction product property, and its range is more extensive, in raw material or reaction
Condition occurs to remain able to possess very high degree of accuracy during large change.Compared with the real-time optimization method based on lumped model,
The real-time optimization method of molecular level has the advantages such as more accurate, more reliable, the scope of application is wider.
Content of the invention
The present invention in order to realize refine oil and petrochemical equipment real-time optimization so that device is kept continuously at optimum state,
Lifting economic benefit reducing energy consumption is it is proposed that a kind of real-time optimization method of molecular level.The method is based on crude oil molecular number
According to the product molecule composition data of storehouse and model prediction, accurate grasp often set oil refining and petrochemical equipment raw material and product detailed point
Son composition, based on molecule level intrinsic kinetics reaction mechanism, hold oil refining with the most basic principle of petrochemical iy produced technique so that
The scope that real-time optimization system is suitable for is more extensive, more accurate.
Thus, the invention provides a kind of real-time optimization (RTO) method for oil refining or the molecular level of petrochemical equipment,
Comprise the steps：
(1) raw material of process units and the macroscopic property of product are obtained；
(2) obtain the detailed molecular composition of raw material；
(3) molecular composition according to raw material, the molecular composition of prediction product；
(4) molecular composition of the product according to prediction, calculates the macroscopic property of product；
(5) the product macroscopic property of the reality obtaining in the product predicted in step 4 macroscopic property, with step 1 is compared
Right, in correction kinetic model parameter；
(6) according to the kinetic model optimizing, with optimized algorithm, calculate Optimal Production scheme；
(7) the Optimal Production plan implementation producing step (6) is to process units；
(8) after process units enters stable state, repeat step (1)-(7), circulated next time；Whole system constantly circulates, and makes
Must produce and be continuously maintained in optimum state.
Wherein in step (1), the raw material of process units and the macroscopic view of product can be obtained in real time by online analytical instrument
Property.Described online analytical instrument can be mass spectrum, gas chromatogram, gas chromatography-mass spectrography, nuclear magnetic resonance, NMR, near-infrared
One or more of spectrum or other any chemical analysis instruments are combined.Described macroscopic property includes but is not limited to density, evaporates
The physicochemical properties such as journey, carbon content, sulfur content, nitrogen content, carbon residue, flash-point.
Wherein in step (2), raw molecule data base can be compared according to step raw material macroscopic property, obtain raw material
Detailed molecular forms.The data base that described raw molecule data base can be made up of the macroscopic property of known raw material.At one
In specific embodiment, method according to disclosed in the patent application of Application No. CN201610705619.1, such as according to should
Method described in any one in claim 1-8 of patent application, to determine the detailed molecular composition of raw material.
The molecular chaperones of crude oil are complicated, containing having more than 200,000 molecular components.In the present invention, it is preferred to using 100 with
On molecule, such as 100-200000 molecule, more preferably using 500,1000,5000,10000 or 50000
Above molecule forms come the detailed molecular to describe raw material.In some specific embodiments, using ten thousand group of molecules of 1-10
Become the composition of description raw material.In some specific embodiments, using 2-10 ten thousand, ten thousand or 2-3 ten thousand molecular compositions of 2-5
The composition of description raw material.
Wherein in step (3), can be formed according to the raw material detailed molecular that step (2) obtain, intrinsic with molecule level
Kinetic model and process model, prediction product molecule composition.Typical intrinsic kinetics model can be known in the art.
In the present invention, molecule level intrinsic kinetics model is directed to raw material detailed molecular composition and builds reaction network, so as to be based on
Raw material detailed molecular forms, and by intrinsic kinetics model, accurately predicts the molecular composition of product.
Wherein in step (4), product macroscopic property, the calculating of product macroscopic property can be calculated with physical property algorithm model
It is weighted suing for peace or apply hybrid cytokine to be adjusted based on the relevant nature of each molecular chaperones of product.Wherein predict product
Macroscopic property include but is not limited to density, boiling range, carbon content, sulfur content, nitrogen content, carbon residue, flash-point etc..Typical physical property is calculated
Method model can be known in the art.In the present invention, Calculation of Physical Properties model be based on detailed molecular composition calculate product with former
The macroscopic property of material：First, its physicochemical properties is calculated according to the detailed construction of each ingredient；Secondly, according to raw material
With the concentration of each molecule in product, the macroscopic property by weighted sum or with hybrid cytokine Adjustable calculation mixture.
Wherein in step (6), the condition meter such as current raw material composition, market condition, corporate planning, facility constraints can be based on
Calculate Optimal Production scheme, the optimization aim of Optimal Production scheme can be maximum economic benefit, minimizes energy consumption, maximizes certain
Plant one or more of Product yields.
Wherein in step (7), described deployment is specially and for Optimal Production scheme to be deployed to advanced control system online
(APC)；APC system is deployed to Distributed Control System (DCS) after receiving instruction online, thus controlling process units.
Further, the invention provides a kind of for oil refining and petrochemical equipment molecular level real-time optimization method, its
It is characterised by, comprise the steps of：
(1) raw material of process units and the macroscopic property of product are obtained in real time by online analytical instrument, including but not limited to close
Degree, boiling range, carbon content, sulfur content, nitrogen content, carbon residue, flash-point etc.；
(2) the raw material macroscopic property according to acquired in online analytical instrument in step (1), compares raw molecule data base, obtains
The detailed molecular composition of raw material, describes the composition of raw material using 100-200000 molecular composition；
(3) according to the raw material detailed molecular composition obtaining in step (2), with molecule level intrinsic kinetics model and process mould
Type, prediction product molecule composition, wherein molecule level intrinsic kinetics model are directed to raw material detailed molecular composition and build reaction net
Network；
(4) according to the product molecule composition predicted in step (3), product macroscopic property, bag are calculated with physical property algorithm model
Include but be not limited to density, boiling range, carbon content, sulfur content, nitrogen content, carbon residue, flash-point, the calculating of product macroscopic property is based on product
The relevant nature of each molecular chaperones is weighted suing for peace or apply hybrid cytokine to be adjusted；
(5) the product macroscopic property that will be predicted in step (4), the product broad perspectives with online analytical instrument measurement in step 1
Matter is compared, and corrects the parameter in kinetic model so that model prediction is accurate；
(6) after the model completing step (5) corrects, with optimized algorithm, current raw material composition, market condition, enterprise are calculated
Optimum production decision under the conditions of industry planning, facility constraints etc., the target herein optimizing can be maximum economic benefit, minimum
Change energy consumption, maximize one or more of certain Product yields；
(7) Optimal Production scheme produced by step (6) is deployed to APC system online；
(8) APC system is deployed to DCS system after receiving the instruction of step (7) online, controls process units；
(9) after process units enters stable state, repeat step (1)-(8), circulated, whole system constantly circulates next time, made
Must produce and be continuously maintained in optimum state.
On the other hand, present invention provides being used for implementing the special purpose device of said method.
Specifically, assembly of the invention contains oil refining or petrochemical production equipment, on-line analyses device, and model calculates system
System, advanced control system (APC), Distributed Control System (DCS).
Wherein model computing system can include determining molecular model system according to physical property, according to raw molecule group
Become molecule level intrinsic kinetics model system and process model system, the product group according to prediction of prediction product molecule composition
Become to calculate physical property algorithm model system and/or the optimized algorithm system of product physical property；Wherein model computing system can will produce
Scheme is deployed to APC system online；Instruction can be deployed to DCS system by APC further；DCS system can control production dress
Put.
Thus, the method for the present invention all builds around the detailed molecular composition of raw material and product in each link.First originally
Method describes the molecular composition of raw material and product first using 2-3 ten thousand or more molecule, and existing method generally makes
With the lumped component within 400 or virtual component, raw material and product are described.Molecule level intrinsic kinetics model is also base
Detailed molecular composition in raw material builds, and the reaction network being formed represents the intrinsic property of molecule reaction.And existing method
It is based on lumped model, the reaction network of formation is to characterize reaction network more.The intrinsic reaction network of this method and existing method
Characterize reaction network to compare, have the advantages that the suitability is wider, ductility more preferably, accuracy higher.The Calculation of Physical Properties of this method
Model is equally based on the macroscopic property that detailed molecular composition calculates product and raw material：First, detailed according to each ingredient
Its physicochemical properties of Structure Calculation；Secondly, the concentration according to raw material and each molecule in product, by weighted sum or utilization
The macroscopic property of hybrid cytokine Adjustable calculation mixture.And the many physical chemistry based on lumped component or virtual component of existing method
Property calculates the macroscopic property of raw material and product, cannot catch the essential laws that molecule is constituted when tackling melange effect, and many
Method using empirical model adjustment.
Exactly because the bright all of step of we all builds around detailed molecular composition, the therefore present invention and prior art
Compare and had the advantage that main inclusion following aspect：
1. make optimization direction more accurate by the real-time optimization of molecular level, effectively reduce the wind that false judgment optimizes direction
Danger so that prioritization scheme more effectively；
2. not formed by raw material and anti-based on the real-time optimization method of detailed molecular composition and molecule level intrinsic kinetics mechanism
Answer the constraint of condition, wider array of raw material composition can be applied to reaction condition so that the limber up period with the inventive method is big
Big shortening, more rapidly produces effect of optimization；
3. managed by molecule, detailed product molecule composition can be obtained, and more rich property data can be obtained, prediction and
Optimization ability is more complete；
4. the real-time optimization system based on molecular level, its raw material and product all use detailed molecular composition to describe, and therefore can obtain
Know stream stock molecular composition between different process units so that different process units can combined optimization, and can the company of structure further
The oil plant passing through and petrochemical plant overall process optimization model.
Brief description
Fig. 1, oil refining and petroleum chemical enterprise's real-time optimization（RTO）Organization Chart.
Fig. 2, real-time optimization（RTO）Flow chart.
Fig. 3, the present invention are applied to on-line chromatograph analyser structure configuration during catalytic reforming unit real-time optimization.
Fig. 4, real-time optimization system react prediction and the measured data contrast of temperature drop to catalytic reforming unit.
Fig. 5, real-time optimization system contrast to the prediction of catalytic reforming reaction device production concentration and measured data.
The flow chart that Fig. 6, this method implement atmospheric and vacuum distillation unit real-time optimization.
Fig. 7, this method use 200,000 crude oil molecules and existing method to use 400 crude oil molecules in prediction the physical property of product
Contrast in accuracy.
Specific embodiment
Below by specific embodiment, the present invention is described in further detail.
【Embodiment 1】The present invention is used in the embodiment on catalytic reforming unit.
1. with a set of catalytic reforming unit as objective for implementation, using on-line chromatograph analyser as on-line checking instrument, real
When detection raw material and product macroscopic property, including the content of the materials such as saturated hydrocarbons, unsaturation hydrocarbon, toluene, dimethylbenzene；Fig. 3 shows
Show the structure configuration of the on-line chromatograph analyser that the present embodiment is used.
2. the raw material macroscopic property according to acquired in on-line chromatograph analyser in step 1, compares reformer feed molecular data
Storehouse, obtains the detailed molecular composition of raw material.In reformer feed molecular components, content has n-alkane, isomery more than 0.05%
Alkane, five-membered ring alkane, hexa-atomic cycloalkane, aromatic hydrocarbons etc. amount to 243 molecular components.
3. according to the reformer feed detailed molecular composition obtaining in step 2, with the intrinsic power of catalytic reforming molecule level
Learn model, prediction products molecule composition.Kinetic model includes dehydrogenation virtueization for 243 main molecules, cyclization of paraffins, alkane
Hydrocarbon isomerization etc. amounts to 569 kinds of reactions.Fig. 5 shows that this real-time optimization system is produced to alkane, isoparaffin, cycloalkane, aromatic hydrocarbons
The predicting the outcome of thing concentration, nearly 100 °C of working condition range spans, mean error is within 1.5%.
4., according to the catalytic reformate molecular composition predicted in step 3, calculate its property with physical property algorithm model,
Content including materials such as saturated hydrocarbons, unsaturation hydrocarbon, toluene, dimethylbenzene.
5. the product macroscopic view by the product predicted in step 4 macroscopic property, with on-line chromatograph analyser measurement in step 1
Property is compared, and corrects the parameter in catalytic reforming reaction kinetic model so that model prediction is accurate.
6., after the model completing step 5 corrects, with optimized algorithm, calculate current raw material composition, market condition, enterprise
Optimum production decision under the conditions of industry planning, facility constraints etc., including reaction temperature, charge ratio etc..The target herein optimizing can
To be to maximize overall efficiency, minimize energy consumption, maximize one or more of aromatics yield or Reformed Gasoline yield.
7. Optimal Production scheme produced by step 6 is deployed to online the APC system of catalytic reforming unit.
8.APC system is deployed to DCS system online after receiving the instruction of step 7, control catalytic reforming process units
Temperature and the parameters such as charge ratio.
9. after process units enters stable state, repeat step 1-8, is circulated next time.Whole system constantly circulation so that
Production is continuously maintained in optimum state.
Experimental result：Table 1 illustrates the moieties structure in the detailed molecular composition determining in step 2.Due to quantity
Larger, whole molecular structures are not listed.Fig. 4 shows and reacts temperature drop by the catalytic reforming unit of real-time optimization system prediction
With the contrast of actual measurement temperature drop, operating temperature range span is 50 °C, accuracy up to more than 98%.Fig. 5 shows this real-time optimization
System predicts the outcome to alkane, isoparaffin, cycloalkane, aromatic product concentration, nearly 100 °C of working condition range spans, puts down
All errors are within 1.5%.
The distinctive effect of the present embodiment is that real-time optimization is to form with product molecule based on detailed raw material, and combines
Molecule level intrinsic kinetics model.In the simulation of existing catalytic reforming with optimization method, generally adopt several or tens
Lump virtual component.And the present embodiment then describes carbon number in detail with 243 molecular components and divides in the reformer feed of 1-12 and product
Son composition.For this 243 molecular components, 569 chemical reactions with molecule level intrinsic kinetics model describe raw material
Reaction mechanism to product.The present invention combines detailed molecular composition and intrinsic kinetics model, can accurately predict 243
Molecular yield, and the yield of tens collection gross products of the prediction that existing method can only be rough.Detailed to product molecule
The various properties of product can be fundamentally grasped in prediction, provide the foundation for accurately real-time optimization.Based on molecule level originally
Levy kinetic model and the real-time optimization system of detailed molecular composition, its ductility is also well beyond existing method at present.Mesh
Front existing method is typically only capable to cover 5-10 °C of catalytic reforming working condition scope, and this method can cover more than 100 °C
Production range, ductility lifted more than 10 times.Ductility and accuracy also enable the inventive method in broader scope
Interior enforcement optimizes, and finds globally optimal solution, and existing method can only carry out local optimum in limited condition and range.This enforcement
Example height binding molecule data base, software, three links of hardware so that real-time optimization system is more complete, and based on lump mould
The optimization system of type or empirical model is compared, done Optimal Decision-making also more science and accurately.Fig. 3 shows the present embodiment
The structure configuration of the on-line chromatograph analyser being used.Table 1 contains catalytic reforming raw material of the present invention and product molecule data base
Middle partly common molecular structure of chemistry.Fig. 4 shows and reacts temperature drop by the catalytic reforming unit of real-time optimization system prediction
With the contrast of actual measurement temperature drop, operating temperature range span is 50 °C, accuracy up to more than 98%.Fig. 5 shows this real-time optimization
System predicts the outcome to alkane, isoparaffin, cycloalkane, aromatic product concentration, nearly 100 °C of working condition range spans, puts down
All errors are within 1.5%.
Partly common molecular structure of chemistry in table 1, catalytic reforming raw material used in the present invention and product molecule data base.
【Embodiment 2】The present invention is used in the embodiment on atmospheric and vacuum distillation unit.
1. with a set of air-distillation and reduced pressure distillation combined device as objective for implementation, using On-line NIR analyser
Or magnetic nuclear resonance analyzer is as on-line checking instrument, the property of real-time detection raw material and product.Detection object includes crude oil, often
Top an oily, normal line, normal two wires, atmosphere 3rd side cut, vacuum 1st side cut, second line of distillation, the line that subtracts three, the stream stock such as line that subtracts four, detection property include density,
Boiling range, do, viscosity, carbon residue, sulfur content etc..
2. according to On-line NIR analyser in step 1 or the oil property acquired in magnetic nuclear resonance analyzer, than
To crude oil molecular database, obtain the detailed molecular composition of raw material.Crude oil molecular database comprises nearly 200,000 molecules, and description is former
The molecular components of oil boiling range scopes all from initial boiling point to the end point of distillation, cover liquefied petroleum gas, Petroleum, gasoline, kerosene, bavin
The fractions such as oil, lubricating oil, heavy oil, decompression residuum.With ten thousand molecules of about 2-3 in this 200,000 molecules, each is described specific
Crude oil.The part crude oil molecular structure that table 2 display this method is used.
3. according to the crude oil detailed molecular composition obtaining in step 2, with Atmospheric vacuum Slicing Model for Foreign, to atmospheric and vacuum distillation unit tower
The outlets products of top and each side line are simulated, and prediction tower top and each side line product molecule form.
4., according to each stream stock molecular composition predicted in step 3, calculate its property with physical property algorithm model, including close
Degree, boiling range, do, viscosity, carbon residue, sulfur content etc..Table 3 illustrates the crude oil that this method can predict and atmospheric and vacuum distillation unit respectively goes out
31 kinds of physical property of mouth stream stock.
5., by the product predicted in step 4 physical property, divide with On-line NIR analyser or nuclear magnetic resonance, NMR in step 1
Each stream stock physical property of analyzer measurement is compared, and corrects the parameter of Atmospheric vacuum Slicing Model for Foreign so that model prediction is accurate.
6., after the model completing step 5 corrects, with optimized algorithm, calculate current raw material composition, market condition, enterprise
Optimum production decision under the conditions of industry planning, facility constraints etc., including the preheating temperature of atmospheric pressure kiln, vacuum furnace, each side line cutting
Temperature, reflux ratio etc..The target herein optimizing can be maximized overall efficiency, minimize energy consumption, maximize certain side line flow rate
One or more of.
7. Optimal Production scheme produced by step 6 is deployed to online the APC system of atmospheric and vacuum distillation unit.
8.APC system is deployed to DCS system online after receiving the instruction of step 7, control the temperature of atmospheric and vacuum distillation unit with
The parameters such as reflux ratio.
9. after process units enters stable state, repeat step 1-8, is circulated next time.Whole system constantly circulation so that
Production is continuously maintained in optimum state.
The flow chart that Fig. 6 implements atmospheric and vacuum distillation unit real-time optimization for this method.
Fig. 7 shows that this method uses 200,000 crude oil molecules and existing lumping strategy in prediction the physical property of product accuracy
Contrast.
The part crude oil molecular structure that table 2, this method are used
| Numbering | Property name | Numbering | Property name |
| 1 | Density（20°C） | 17 | Tricyclic aromaticss（%） |
| 2 | C | 18 | Fourth Ring and above aromatic hydrocarbon（%） |
| 3 | H | 19 | Sulfide（%） |
| 4 | S | 20 | Colloid（%） |
| 5 | N | 21 | Asphalitine（%） |
| 6 | O | 22 | Fe（%） |
| 7 | K value | 23 | Ni（%） |
| 8 | Viscosity（cP@50°C） | 24 | V（%） |
| 9 | Flash-point | 25 | True boiling-point (TBP) curve（°C） |
| 10 | Condensation point | 26 | Molecular weight |
| 11 | Carbon residue（%） | 27 | Degree of unsaturation（DBE） |
| 12 | Total acid number | 28 | Z- value |
| 13 | Wax content | 29 | Octane number（RON） |
| 14 | Saturated hydrocarbons（%） | 30 | Solubility parameter（(cal/mol)^0.5） |
| 15 | One aromatic hydrocarbon ring（%） | 31 | Armaticity（%） |
| 16 | Bicyclic aromatic hydrocarbon（%） |
The crude oil that table 3, this method can be predicted and atmospheric and vacuum distillation unit respectively export 31 kinds of physical property flowing stock.
The distinctive effect of the present embodiment is that real-time optimization is based on detailed crude oil molecular composition, crude oil molecular database
Including 200,000 molecules, each crude oil is described by ten thousand molecules of 2-3, and within existing lumping strategy generally only includes 400
Molecule, is substantially improved in fine degree.The flow chart that Fig. 6 implements atmospheric and vacuum distillation unit real-time optimization for this method.Table 2 shows
The part crude oil molecular structure that this method is used.This method is compared had second advantage and is, in detail with existing method
Thin crude oil molecular composition is that the subsequent production device of atmospheric and vacuum distillation unit provides detailed raw molecule data, is such as catalyzed weight
Engagement positions, catalytic cracking unit, hydrofinishing and hydrocracking unit, delayed coking unit etc..Existing method cannot be then
These devices provide detailed raw molecule data.3rd advantage of this method is the shortening in its cycle that takes effect and efficiency
Lifting.When crude oil handled by atmospheric and vacuum distillation unit changes, this method can adjust crude oil molecular data in time, with existing side
Correction time can be shortened more than 80%, take effect cycle is greatly reduced by method ratio.4th advantage of this method is its ductility
By force, can be optimized in the working condition of wider range.Existing method can only 10 °C about of Accurate Prediction humidity province
Between, and this method can the working condition span scope more than 50 °C for the Accurate Prediction.Fig. 7 shows that this method uses 200,000 crude oil
Molecule and existing method use contrast in prediction the physical property of product accuracy for 400 crude oil molecules.The 5th of this method excellent
Gesture is to provide more detailed raw material and product characteristicses.Based on the palm to crude oil and each pump-around stream stock detailed molecular composition
Hold, can respectively flow 31 kinds of macroscopic properties of stock by Accurate Prediction, and existing method can only predict 10-15 kind macroscopic property.Table 3 illustrates
The crude oil that this method can be predicted and atmospheric and vacuum distillation unit respectively export 31 kinds of physical property flowing stock..
Claims (12)
1. a kind of real-time optimization (RTO) method for oil refining or the molecular level of petrochemical equipment is it is characterised in that include following
Step：
(1) raw material of process units and the macroscopic property of product are obtained；
(2) obtain the detailed molecular composition of raw material；
(3) molecular composition according to raw material, the molecular composition of prediction product；
(4) molecular composition of the product according to prediction, calculates the macroscopic property of product；
(5) the product macroscopic property of the reality obtaining in the product predicted in step 4 macroscopic property, with step 1 is compared
Right, in correction kinetic model parameter；
(6) according to the kinetic model optimizing, with optimized algorithm, calculate Optimal Production scheme；
(7) the Optimal Production plan implementation producing step (6) is to process units；
(8) after process units enters stable state, repeat step (1)-(7), circulated next time；Whole system constantly circulates, and makes
Must produce and be continuously maintained in optimum state.
2. the raw material of process units in the method described in claim 1, wherein step (1), is obtained in real time by online analytical instrument
And the macroscopic property of product.
3. the method for claim 1 or 2, wherein said macroscopic property include but is not limited to density, boiling range, carbon content, sulfur content,
Nitrogen content, carbon residue, flash-point.
4., in the method described in claim 1, wherein step (2), according to step raw material macroscopic property, compare raw molecule data
Storehouse, is obtained the detailed molecular composition of raw material, is described the composition of raw material using 100 to 200000 molecular compositions.
5., in the method described in claim 1, wherein step (3), formed according to the raw material detailed molecular that step (2) obtains, fortune
With molecule level intrinsic kinetics model and process model, predict product molecule composition；Wherein molecule level intrinsic kinetics mould
Type is directed to raw material detailed molecular composition and builds reaction network.
6., in the method described in claim 1, wherein step (4), calculate product macroscopic property, product with physical property algorithm model
The calculating of macroscopic property is weighted suing for peace or apply hybrid cytokine to be adjusted based on the relevant nature of each molecular chaperones of product
Whole.
7., in the method described in claim 1 or 6, wherein step (4), the macroscopic property of prediction product is including but not limited to close
Degree, boiling range, carbon content, sulfur content, nitrogen content, carbon residue, flash-point.
8., in the method described in claim 1, wherein step (6), based on current raw material composition, market condition, corporate planning, set
The conditions such as standby constraint calculate Optimal Production scheme.
9. in the method described in claim 1 or 8, wherein step (6), the optimization aim of Optimal Production scheme is to maximize economy
Benefit, minimize energy consumption, maximize one or more of certain Product yields.
10., in the method described in claim 1, wherein step (7), described deployment is specially online for Optimal Production scheme portion
Affix one's name to advanced control system (APC)；APC system is deployed to Distributed Control System (DCS) after receiving instruction online, thus controlling
Process units.
A kind of 11. real-time optimization methods for oil refining and the molecular level of petrochemical equipment are it is characterised in that comprise following step
Suddenly：
(1) raw material of process units and the macroscopic property of product are obtained in real time by online analytical instrument, including but not limited to close
Degree, boiling range, carbon content, sulfur content, nitrogen content, carbon residue, flash-point etc.；
(2) the raw material macroscopic property according to acquired in online analytical instrument in step (1), compares raw molecule data base, obtains
The detailed molecular composition of raw material, describes the composition of raw material using 100-200000 molecular composition；
(3) according to the raw material detailed molecular composition obtaining in step (2), with molecule level intrinsic kinetics model and process mould
Type, prediction product molecule composition, wherein molecule level intrinsic kinetics model are directed to raw material detailed molecular composition and build reaction net
Network；
(4) according to the product molecule composition predicted in step (3), product macroscopic property, bag are calculated with physical property algorithm model
Include but be not limited to density, boiling range, carbon content, sulfur content, nitrogen content, carbon residue, flash-point, the calculating of product macroscopic property is based on product
The relevant nature of each molecular chaperones is weighted suing for peace or apply hybrid cytokine to be adjusted；
(5) the product macroscopic property that will be predicted in step (4), the product broad perspectives with online analytical instrument measurement in step 1
Matter is compared, and corrects the parameter in kinetic model so that model prediction is accurate；
(6) after the model completing step (5) corrects, with optimized algorithm, current raw material composition, market condition, enterprise are calculated
Optimum production decision under the conditions of industry planning, facility constraints etc., the target herein optimizing can be maximum economic benefit, minimum
Change energy consumption, maximize one or more of certain Product yields；
(7) Optimal Production scheme produced by step (6) is deployed to APC system online；
(8) APC system is deployed to DCS system after receiving the instruction of step (7) online, controls process units；
(9) after process units enters stable state, repeat step (1)-(8), circulated, whole system constantly circulates next time, made
Must produce and be continuously maintained in optimum state.
A kind of 12. devices of the real-time optimization method that can implement claim 1-11 any one are it is characterised in that include following
Part：
Process units, on-line analyses device, model computing system, advanced control system (APC), Distributed Control System (DCS)；
Wherein model computing system includes determining molecular model system according to physical property, according to raw molecule predicted composition product
Thing molecular molecule level intrinsic kinetics model system and process model system, the product composition calculating product according to prediction
The physical property algorithm model system of thing physical property, optimized algorithm system；
Wherein production decision can be deployed to APC system by model computing system online；Instruction can be deployed to by APC further
DCS system；DCS system can control process units.
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