CN107609328A - A kind of Multipurpose Optimal Method of catalytic cracking unit model - Google Patents
A kind of Multipurpose Optimal Method of catalytic cracking unit model Download PDFInfo
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- CN107609328A CN107609328A CN201710761604.1A CN201710761604A CN107609328A CN 107609328 A CN107609328 A CN 107609328A CN 201710761604 A CN201710761604 A CN 201710761604A CN 107609328 A CN107609328 A CN 107609328A
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Abstract
The invention discloses a kind of Multipurpose Optimal Method of catalytic cracking unit model, comprise the following steps：1) catalytic cracking unit model is established using Petro SIM；2) done using the ASTM D86 of stable gasoline, the C2 components in the ASTM D86 of light diesel fuel 95% point and dry gas in the volume fraction and liquefied petroleum gas of C3 components, the volume fraction of C5 components as constraints, Optimized model is established as target using liquefied petroleum gas yield and stable gasoline yield；3) MATLAB and Petro SIM data interaction platform are built, key variables are screened using Mean Impact Value method, and utilizes multiple target Line-up Competition Algorithm MOLCA solving-optimizing models, to obtain the Pareto optimal solution sets of Optimized model.Model of the invention by being simulated based on whole process, establish with liquefied petroleum gas yield and the maximized double-goal optimal model of oil production rate, change of the market to different product demand is directed under conditions of product quality is ensured, device is obtained greatest benefit, the rule of operating parameter and operating result can be reflected exactly.
Description
Technical field
The invention belongs to Petroleum Processing Technology field, more particularly to a kind of multiple-objection optimization side of catalytic cracking unit model
Method.
Background technology
Catalytic cracking unit is the crude oil secondary operation unit that target is turned to heavy oil lightweight, as liquefied gas, gasoline, bavin
The main production plant of the gases such as oil and clean or white, catalytic cracking unit is with a very important position in refinery, current society
Meeting environmental problem is prominent, fuel oil products urgently upgrade, the demand of high-quality petrol and diesel oil increasingly increases, and this is just filled to catalytic cracking
It is proposed requirements at the higher level are put, with the operating parameter of the reaction-regeneration system of In Optimizing Fcc, increases yield of light oil, carries
High yield quality, makes maximization of economic benefit.
It is well known that catalytic cracking unit maximizes production height under conditions of each product quality is ensured, if can realize
Value-added product, it will make device obtain maximum benefit.But it is intended to realize the maximum production of high value added product, not
It can merely be can be achieved with by adjusting one or two of performance variable, but need the collective effect of multiple operating parameters, so only
The optimal point of operation of each variable can just be found using corresponding optimisation technique by having.Realize catalytic cracking unit high value added product
Maximum production is, it is necessary to resolve two technical problems.First, needing to establish the strict model of catalytic cracking unit, make it with showing
Field device matches, and can accurately react the rule of each operating parameter and product variations.Second, the product of the market demand
Constantly change, and market demand product is not typically single product, such as liquefied gas and gasoline or gasoline and diesel oil, therefore set
Need to take into account consideration when putting optimization aim.
For above-mentioned first technical problem, generally catalysis is split using Aspen Plus, proII or gproms
Mould is set up in makeup, and reaction-regenerating section is difficult to set up accurate strict model.It so may result in reaction oil caused by the part
Gas occur simulation it is inaccurate the problems such as, directly influence follow-up main fractionating tower and Vapor recovery unit, ultimately result in product quality with
Do not meet actually.For above-mentioned second technical problem, conventional optimized algorithm is longer to the multi-objective problem solution time, convergence
More difficult, time cost is higher, is not readily available locally optimal solution.Therefore, it is difficult to meet device according to the market demand
The optimization requirement of the change high value added product of adjustment production in time.
The content of the invention
For the technical problem for being difficult to establish catalytic cracking unit on strict model in the prior art be present in the present invention, there is provided
A kind of Multipurpose Optimal Method of catalytic cracking unit model, first establishes strict model for catalytic cracking unit, finally makes product
Quality can reach multiple target while the requirement optimized with being actually consistent.
In order to solve the above technical problems, the technical solution adopted by the present invention is：
A kind of Multipurpose Optimal Method of catalytic cracking unit model, comprises the following steps：
1) creation data of the catalytic cracking unit gathered in actual production is obtained, utilizes process simulation software Petro
SIM establishes catalytic cracking unit model, and catalytic cracking unit model is calibrated by the creation data got, makes catalysis
The analog output value of cracking unit model is consistent with creation data；
2) on the basis of step 1), done with the ASTM D86 of stable gasoline, the 95% of the ASTM D86 of light diesel fuel
The volume fraction of C2 components, C5 components in point and dry gas in the volume fraction and liquefied petroleum gas of C3 components is constraint bar
Part, following Optimized model is established as target using liquefied petroleum gas yield and stable gasoline yield：
Maxf1(U)=Y1
Maxf2(U)=Y2
Wherein, Y1And Y2The respectively yield of gasoline, liquefied petroleum gas：Ton hour；
3) the data interaction platform of perceptive construction on mathematics and process simulation software Petro SIM is built, using average shadow
Value method screening key variables are rung, and utilize multiple target Line-up Competition Algorithm MOLCA solving-optimizing models, to obtain liquefied petroleum
The Pareto optimal solution sets of gas yield and stable gasoline maximum production.
Preferably, the FCCU modules of the process simulation software Petro SIM be used for catalytic cracking unit reaction-
Regenerating section, the FCC Main Fractionator modules in Distop models are used for the main fractionating tower portion of catalytic cracking unit
Point, component separator Light Ends Splitter modules are used for Vapor recovery unit part.
Preferably, the constraints of catalytic cracking unit in the course of the work in the step 2) includes：
The ASTM D86 of stable gasoline are done as 200 DEG C~207 DEG C.
The ASTM D86 95% of light diesel fuel point is 350 DEG C~365 DEG C.
The volume fraction of C3 components is not more than 1.5% in dry gas.
The volume fraction of C2 components is not more than 1.8% no more than the volume fraction of 0.4%, C5 components in liquefied gas.
Preferably, the optimization aim in the step 2) is without under production of diesel oil constraints, produced with liquefied petroleum gas
Amount maximization and stable gasoline maximum production are optimization aim or had under production of diesel oil constraint, with liquefied petroleum gas yield and surely
Determine gasoline production maximum and turn to optimization aim.
Preferably, when application Mean Impact Value (MIV) method chooses key variables in the step 3), first to choose complete
Office's optimized variable, the global optimization variable include：Respectively reactor pressure, first order regenerator pressure, second level regeneration
Device pressure, inlet amount, outlet temperature of riser, fuel oil preheating temperature, first order regenerator entrance air quantity, second level regenerator
Entrance air quantity, second level regenerator lifting air quantity, reactor dense-phase catalyst reserve, first order regenerator catalyst reserve, the
Secondary regenerator device catalyst inventory, atomizing steam amount, reactor vapor flow of stripper, riser lifting quantity of steam.
Preferably, by Mean Impact Value method, chosen again from the global optimization variable according to influence value size
Seven key variables, its range of variables are as follows：
Preferably, the multiple target Line-up Competition Algorithm is the multiple target Line-up Competition Algorithm based on crowding sequence
MOLCA。
Preferably, the step 3) is after Pareto optimal solution sets are obtained after being solved to Optimized model, according to liquefaction
The variation tendency of two kinds of products of oil gas and stable gasoline, determines regular job scheme.
Compared with prior art, beneficial effect possessed by the present invention is：The present invention passes through application flow simulation softward
Petro SIM have carried out whole process simulation to catalytic cracking unit, using average influence factor method, from 15 Independent adjustables
Variable in filter out seven influence products distribution main optimized variables, establish on this basis with liquefied petroleum gas yield
With the maximized double-goal optimal model of oil production rate, and calculating is optimized using multi-objective optimization algorithm, ensureing product
Change of the market to different product demand is directed under conditions of quality, it is determined that optimizing operating point accordingly, operating parameter is carried out
Adjustment, device is set to obtain greatest benefit, it is not accurate enough when pushing away to solve the problems, such as that reaction oil gas is counter, can reflect operation exactly
The rule of parameter and operating result.
Brief description of the drawings
Fig. 1 is a kind of modeling process chart of the Multipurpose Optimal Method of catalytic cracking unit model in the present invention；
A kind of multiple target Line-up Competition Algorithm solution multi-objective optimization question of catalytic cracking unit model in Fig. 2 present invention
Computing block diagram.
Embodiment
To make those skilled in the art be better understood from technical scheme, below in conjunction with the accompanying drawings and specific embodiment
The present invention is elaborated.
As depicted in figs. 1 and 2, embodiment of the invention discloses that a kind of multiple-objection optimization side of catalytic cracking unit model
Method, comprise the following steps：
1) creation data of the catalytic cracking unit gathered in actual production is obtained, utilizes process simulation software Petro
SIM establishes catalytic cracking unit model, and catalytic cracking unit model is calibrated by the creation data got, makes catalysis
The analog output value of cracking unit model is consistent with creation data；
2) on the basis of step 1), done with the ASTM D86 of stable gasoline, the 95% of the ASTM D86 of light diesel fuel
The volume fraction of C3 components and C2 components in liquefied petroleum gas (LPG), the volume fraction of C5 components are about in point and dry gas
Beam condition, following Optimized model is established as target using liquefied petroleum gas (LPG) yield and stable gasoline yield：
Maxf1(U)=Y1
Maxf2(U)=Y2
Wherein, Y1And Y2The respectively yield of gasoline, liquefied petroleum gas：Ton hour；
The constraints of catalytic cracking unit in the course of the work is：
The ASTM D86 of stable gasoline are done as 200 DEG C~207 DEG C.
The ASTM D86 95% of light diesel fuel point is 350 DEG C~365 DEG C.
The volume fraction of C3 components is not more than 1.5% in dry gas.
The volume fraction of C2 components is not more than 1.8% no more than the volume fraction of 0.4%, C5 components in liquefied gas.
3) the data interaction platform of perceptive construction on mathematics and process simulation software Petro SIM is built, using average shadow
Value (MIV) method screening key variables are rung, and utilize multiple target Line-up Competition Algorithm (MOLCA) solving-optimizing model, to obtain
The Pareto optimal solution sets of liquefied petroleum gas yield and stable gasoline maximum production.Wherein, process simulation software Petro SIM
FCCU modules be used for reaction-regenerating section of catalytic cracking unit, the FCC Main in Distop models
Fractionator modules are used for the main fractionating tower part of catalytic cracking unit, component separator (Light Ends
Splitter) module is used for Vapor recovery unit part, using Mean Impact Value (MIV) method selection variables and multiple target Line-up Competition
The optimization that algorithm is carried out is calculated and realized on MATLAB and Petro SIM data interaction platforms.
In the present embodiment, when application Mean Impact Value (MIV) method chooses key variables in step 3), the overall situation is first chosen
Optimized variable, global optimization variable include：Reactor pressure, first order regenerator pressure, second level regenerator pressure, charging
Amount, outlet temperature of riser, fuel oil preheating temperature, first order regenerator entrance air quantity, second level regenerator entrance air quantity,
Secondary regenerator device lifting air quantity, reactor dense-phase catalyst reserve, first order regenerator catalyst reserve, second level regenerator are urged
Agent reserve, atomizing steam amount, reactor vapor flow of stripper and riser lifting quantity of steam, then choose seven key variables again
It is as follows：
The multiple target Line-up Competition Algorithm utilized is the multiple target Line-up Competition Algorithm MOLCA based on crowding sequence, this
It is a general method for solving, specific step repeats no more, and main solution procedure is as shown in figure 1, adjustable optimization
In variable input Optimized model, Optimized model calls simulation model to solve, it can be deduced that corresponding solution.Iterating calculating can
To obtain disaggregation.The process of optimal solution set is tried to achieve, is exactly constantly to be calculated using algorithm iteration, tries to achieve qualified gasoline most
Bigization or LPG are maximumlly worth.The composition of optimal solution set, a set being made up of non-domination solution.
In the Multipurpose Optimal Method of catalytic cracking unit model in the present invention, by liquefied petroleum gas (LPG) yield and
Stable gasoline yield is as optimization aim, under the optional no production of diesel oil constraints of target for optimizing calculating, with LPG yield and surely
Determine gasoline production maximum to turn to optimization aim and have under production of diesel oil constraint, using LPG and stable gasoline maximum production as optimization
Target.
After being solved to the two targets, according to Pareto disaggregation curves, it may be determined that go out voluminous gasoline scheme or
Person's fecund LPG schemes, and both schemes are better than present operating point, can be that enterprise brings actual economic benefit.It is more
Oily scheme of steaming can be used for summer, and the fuel consumption that automobile is turned on the aircondition etc steeply rises.Voluminous LPG schemes can be used for winter, main
The demand of Home Heating in the winter time is embodied, solves different demands of the market to product well.
Below using the creation data of the catalytic cracking unit of 1,100,000 tons/year of certain petrochemical industry as foundation, application flow simulation softward
Petro SIM establish the model of catalytic cracking process whole process simulation, and modeling process chart is as shown in Figure 1.Mixed material is entered to carry
The amount of riser is 130 (t/h), and product quality provides as follows：
Stable gasoline ASTM D86 are done：200℃≤T≤207℃；
95% point of light diesel fuel ASTM D86：350℃≤T≤375℃；
C3 volume components fraction in dry gas：VC3≯ 1.5%；
C2 volume components fraction in liquefied gas：VC2≯ 0.4%；
C5 volume components fraction in liquefied gas：VC5≯ 1.8%；
Production of diesel oil does not constrain.
Operating mode on the basis of selected one group of practical operation data, and FCCU modules are demarcated with this data, make itself and reality
Border production is consistent, and then turning to target with LPG and gasoline production maximum establishes Optimized model, and is calculated with multiple target Line-up Competition
To the model solution, the Pareto forward positions for being met the condition of convergence solve method (MOLCA).
Base operation condition is：Mass flow is by riser bottom feed after 130t/h mixed material is preheating to 189 DEG C
Being reacted with the high temperature catalyst from second level regenerator, outlet temperature of riser is 507 DEG C, and atomizing steam amount is 6.5t/h,
First order regenerator pressure is 0.176Mpag, and second level regenerator pressure is 0.12Mpag, reactor pressure 0.144Mpag,
The amount of reactor stripped vapor is 3800kg/h.Target product is respectively LPG 22.75t/h, stable gasoline 62.76t/h, light bavin
Oily 29.21t/h.
After optimization calculates, three kinds of prioritization schemes can be selected, optimization operation scheme is compared with base operation condition such as the institute of table 2
Show：
Prioritization scheme A：Voluminous gasoline production scheme
Stable gasoline yield has reached 63.73t/h, compared to base operation condition 62.76t/h, stable gasoline output increased
0.97t/h。
Prioritization scheme B：Voluminous LPG production decisions
LPG yield has reached 28.53t/h, compared to base operation condition 22.75t/h, LPG output increaseds 5.78t/h.
Prioritization scheme C：Optimal compromise production decision
LPG yield has reached 26.19t/h, and stable gasoline yield has reached 63.17t/h, compared to base operation condition
LPG22.75t/h, stable gasoline yield 62.76t/h, LPG output increased 3.44t/h, stable gasoline output increased
0.41t/h。
Table 2 optimizes operation scheme and base operation condition target product Yield comparison
The prioritization scheme of table 3 is compared with base operation condition operating condition
In summary, the result of three kinds of prioritization schemes is superior to base operation condition, and high value added product yield has significantly
Improve, can be that petroleum chemical enterprise brings huge economic benefit.
In the present embodiment, after Pareto disaggregation is obtained after being solved to Optimized model, it can be seen that the change of two kinds of products
Change trend.Regular job scheme (the third operation side in addition to voluminous gasoline scheme and voluminous LPG schemes can so be determined
Case), for example when winter, everybody is required for heating, household central heating relies primarily on LPG burnings and carrys out heat supply, and at this time market is to LPG
Demand it is larger, when selection operation scheme can in the past the big side of trend one of LPG yield come it is close.On the contrary, when summer,
Automobile is turned on the aircondition, and oil consumption rises, gasoline demand amount increase, so at this time wanting voluminous gasoline, then will corresponding selection vapour
The big side of oil yield.
3. embodiment gives three kinds of schemes below meets requirements above, one kind is voluminous gasoline, Yi Zhongshi
Voluminous LPG, another kind are daily production decisions.
The Multipurpose Optimal Method of catalytic cracking unit model in the present invention, application flow simulation softward Petro SIM
Whole process simulation is carried out to catalytic cracking unit, using the average influence factor (MIV) method, from the change of 15 Independent adjustables
Seven main optimized variables for influenceing product distribution are filtered out in amount, the present invention compared with prior art, establishes strict
Device operation model, it is not accurate enough when pushing away to solve the problems, such as that reaction oil gas is counter, can reflect operating parameter and operation exactly
As a result rule.Establish on this basis with liquefied petroleum gas (LPG) and the maximized double-goal optimal model of oil production rate,
And calculating is optimized using multi-objective optimization algorithm, for market to different product demand under conditions of product quality is ensured
Change, it is determined that optimizing operating point accordingly, operating parameter is adjusted, make device obtain greatest benefit.
Above example is only the exemplary embodiment of the present invention, is not used in the limitation present invention, protection scope of the present invention
It is defined by the claims.Those skilled in the art can make respectively in the essence and protection domain of the present invention to the present invention
Kind modification or equivalent substitution, this modification or equivalent substitution also should be regarded as being within the scope of the present invention.
Claims (8)
1. a kind of Multipurpose Optimal Method of catalytic cracking unit model, it is characterised in that comprise the following steps：
1) creation data of the catalytic cracking unit gathered in actual production is obtained, is built using process simulation software Petro SIM
Vertical catalytic cracking unit model, is calibrated to catalytic cracking unit model by the creation data got, makes catalytic cracking
The analog output value of mounted cast is consistent with creation data；
2) on the basis of step 1), done with the ASTM D86 of stable gasoline, the ASTM D86 of light diesel fuel 95% point with
And C2 components in dry gas in the volume fraction and liquefied petroleum gas of C3 components, the volume fraction of C5 components are constraints, with
Liquefied petroleum gas yield and stable gasoline yield are that target establishes following Optimized model：
Maxf1(U)=Y1
Maxf2(U)=Y2
Wherein, Y1And Y2The respectively yield of gasoline, liquefied petroleum gas：Ton hour；
3) the data interaction platform of perceptive construction on mathematics and process simulation software Petro SIM is built, using Mean Impact Value
Method screens key variables, and utilizes multiple target Line-up Competition Algorithm MOLCA solving-optimizing models, to obtain liquefied petroleum gas production
The Pareto optimal solution sets of amount and stable gasoline maximum production.
2. the Multipurpose Optimal Method of a kind of catalytic cracking unit model according to claim 1, it is characterised in that described
Process simulation software Petro SIM FCCU modules are used for reaction-regenerating section of catalytic cracking unit, in Distop models
FCC Main Fractionator modules be used for catalytic cracking unit main fractionating tower part, component separator Light
Ends Splitter modules are used for Vapor recovery unit part.
3. the Multipurpose Optimal Method of a kind of catalytic cracking unit model according to claim 1, it is characterised in that described
The constraints of catalytic cracking unit in the course of the work in step 2) includes：
The ASTM D86 of stable gasoline are done as 200 DEG C~207 DEG C.
The ASTM D86 95% of light diesel fuel point is 350 DEG C~365 DEG C.
The volume fraction of C3 components is not more than 1.5% in dry gas.
The volume fraction of C2 components is not more than 1.8% no more than the volume fraction of 0.4%, C5 components in liquefied gas.
4. the Multipurpose Optimal Method of a kind of catalytic cracking unit model according to claim 1, it is characterised in that described
Optimization aim in step 2) is without under production of diesel oil constraints, with liquefied petroleum gas maximum production and stable gasoline yield
Maximum turns to optimization aim or had under production of diesel oil constraint, using liquefied petroleum gas yield and stable gasoline maximum production as optimization
Target.
5. the Multipurpose Optimal Method of a kind of catalytic cracking unit model according to claim 1, it is characterised in that described
When application Mean Impact Value (MIV) method chooses key variables in step 3), global optimization variable is first chosen, the overall situation is excellent
Changing variable includes：Respectively reactor pressure, first order regenerator pressure, second level regenerator pressure, inlet amount, riser go out
Mouth temperature, fuel oil preheating temperature, first order regenerator entrance air quantity, second level regenerator entrance air quantity, second level regenerator
Lifted air quantity, reactor dense-phase catalyst reserve, first order regenerator catalyst reserve, second level regenerator catalyst reserve,
Atomizing steam amount, reactor vapor flow of stripper, riser lifting quantity of steam.
6. a kind of Multipurpose Optimal Method of catalytic cracking unit model according to claim 5, it is characterised in that by flat
Equal influence value method, seven key variables, its variable are chosen according to influence value size again from the global optimization variable
Scope is as follows：
7. the Multipurpose Optimal Method of a kind of catalytic cracking unit model according to claim 1, it is characterised in that described
Multiple target Line-up Competition Algorithm is the multiple target Line-up Competition Algorithm MOLCA based on crowding sequence.
8. the Multipurpose Optimal Method of a kind of catalytic cracking unit model according to claim 1, it is characterised in that described
Step 3) is after Pareto optimal solution sets are obtained after being solved to Optimized model, according to the two kinds of productions of liquefied petroleum gas and stable gasoline
The variation tendency of product, determine regular job scheme.
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Application publication date: 20180119 |
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| RJ01 | Rejection of invention patent application after publication |