CN102289199A - Automatic on-line control method for production and operation of industrial cracking furnace - Google Patents
Automatic on-line control method for production and operation of industrial cracking furnace Download PDFInfo
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Abstract
The invention discloses an automatic on-line control method for production and operation of an industrial cracking furnace, which relates to establishment of a cracking product price system, establishment of maximum optimizing model of cracking product value of the cracking furnace, physical characteristic analysis of cracking raw materials, operation optimizing calculation of the cracking furnace, cracking depth determination, operation state judgment of the cracking furnace and on-line adjustment of cracking furnace operation. Different from the traditional method for realizing stable operation of the cracking furnace by controlling the cracking depth, according to the automatic on-line control method, the cracking depth is associated with the produced cracking product value by using the maximum optimizing model of the cracking product value of the cracking furnace and the value of the cracking product produced by the cracking furnace reaches maximum by controlling the cracking depth, so that the value of the cracking products produced by an ethylene device reaches maximum and further economic benefits of production enterprises are improved.
Description
Technical field
The present invention relates to the ethylene industry pyrolysis furnace, more specifically, relate to the online automatic control method that the pyrolysis furnace production operation is optimized in the ethylene unit.
Background technology
At present, 99% of world Ethylene total production is all produced in the steam cracking mode by pyrolysis furnace, and the current and following ethene production capacity that increases newly is also mainly produced in the steam cracking mode by pyrolysis furnace.Pyrolysis furnace is a main device of producing basic Organic Chemicals such as ethene, propylene, butadiene, aromatic hydrocarbons, and the pyrolysis furnace energy consumption accounts for more than 70% of whole ethylene producing device.
In pyrolysis furnace production operation process, except cracking stock, the factor that influences the pyrolysis product yield be inlet amount (Foil), quantity of steam (DS) or dilution ratio (quantity of steam/inlet amount, RW/O), crack furnance radiation section furnace tube outlet temperature (COT).For the different cracking stock of rerum natura, even adopt identical pyrolysis furnace and operating conditions, then its pyrolysis product yield distributes inequality; Even the cracking stock that rerum natura is identical uses different pyrolysis furnace or operating conditions, its pyrolysis product yield distributes also inequality.Therefore, in the pyrolysis furnace production run, often at the cracking stock rerum natura, optimize the pyrolysis furnace operating conditions, make the higher pyrolysis product of economic worth or economic value added (as ethene, propylene etc.) yield reach maximum, reducing raw material and energy consumption, reduce production costs, is the difficult problem that ethylene production enterprise faces.
Industrial pyrolysis furnace is realized the pyrolysis furnace quiet run by cracking severity usually, and cracking severity is the weight ratio of propylene and ethene or methane and propylene normally.Chinese patent CN1456895A, CN2519911Y, CN201173877Y propose to draw one pyrolysis gas logistics from the outlet of pyrolysis furnace waste heat boiler, by pre-service such as pyrolysis gas cools off are realized the online sampling of pyrolysis gas or utilize on-line chromatograph to carry out on-line analysis.Obtain the content that the pyrolysis gas sample carries out off-line analysis or obtained hydrogen, methane, ethene, propylene in the pyrolysis gas by the on-line chromatograph analysis for online, thereby can calculate cracking severity, control pyrolysis furnace performance variable (raw material inlet amount, dilution steam generation amount, coil outlet temperature) by the control cracking severity, thereby realize the quiet run of pyrolysis furnace.
In pyrolysis furnace research and design process, pyrolysis furnace patent merchant and science institutes are according to petroleum hydrocarbon thermal cracking chemical reaction process exploitation petroleum hydrocarbon heat scission reaction half mechanism semiempirical model or mechanism model, and it is compiled into the pyrolysis furnace simulation softward, comprise PYPS, CRACKER, CRACKSIM, FIHR as SPYRO, the LUMMUS of TECHNIP company, be used for analog computation pyrolysis product yield, wherein APSEN company incorporates SPYRO software the advanced control technology of pyrolysis furnace of its exploitation, ethylene unit is carried out operation optimization, and be applied at industrial pyrolysis furnace.
Utilize the data of commercial plant or test unit can develop petroleum hydrocarbon heat scission reaction kinetic model, propose a kind of method that cracking furnace installation is controlled earlier as Chinese patent CN1686973, set up material density, throw the relational model of oil mass, water-oil factor, the average outlet temperature of boiler tube, boiler export temperature etc. and raw material cracking severity by neural network model.Chinese patent CN1150300 has proposed the relational model among the CN1686973 is applied to the Based Intelligent Control of ethane cracking furnace, reasonably choose by each operating parameter that steadily makes of control raw material cracking severity, and the operation of maintenance back workshop section is stable.Such scheme has proposed to produce held stationary by the pyrolysis furnace that steadily makes of control cracking severity, and whether the yield pyrolysis product yield of but ignoring the higher pyrolysis product of economic worth or economic value added (ethene, propylene, butadiene, aromatic hydrocarbons etc. one or several) is in optimum state.
The industrial pyrolysis furnace pyrolysis product has hundreds of, but the final cracking product quantity that ethylene unit is produced is limited, can not surpass tens kinds usually, and the cracking product on market with certain sell at competitive, and influenced by supplydemand relationship.There is bigger difference in the cracking product that the pyrolysis furnace yearly capacity difference of alkene manufacturing enterprise, ethylene unit are produced: the ethene annual production is less than 300,000 tons manufacturing enterprise, and the cracking product is mainly ethene and propylene; The ethene annual production is more than or equal to 300,000 tons manufacturing enterprise, and the cracking product is mainly ethene, propylene, butadiene, aromatic hydrocarbons.Except ethene, propylene, butadiene, these main cracking products of benzene,toluene,xylene, alkene manufacturing enterprise also produces the secondary product that hydrogen, C-4-fraction, pyrolysis gasoline, pyrolysis gas oil, fuel wet goods contain certain economic value or economic value added.
In recent years, oil price is vibrated in a big way, and the cracking product price is vibrated thereupon.The cracking product price also is subjected to the influence of the demand-supply relation except the price that is subjected to raw material influences, the cracking product price that supply falls short of demand is higher, and the cracking product price that supply exceed demand is lower.In pyrolysis furnace production operation process, the higher cracking product price of yield may not be higher, and the cracking value of the product that yield is lower is lower.Therefore, pyrolysis furnace operation serves as that value and the fluctuation of cracking product market price that main cracking product is ignored other secondary products can not make the economic benefit of manufacturing enterprise reach higher level with diene or triolefin triphen only, therefore the pyrolysis furnace operation should take into full account the marketable value of each cracking product, should instruct the pyrolysis furnace production operation according to the demand-supply relation and the price of cracking product, make the total price of the cracking product of pyrolysis furnace production reach maximum, thereby make the economic benefit of manufacturing enterprise reach maximization.
As from the foregoing, traditional pyrolysis furnace method of operating is only considered the stationarity of pyrolysis furnace, and economy problems for considering that pyrolysis furnace is produced, the Based Intelligent Control of ethane cracking furnace has been proposed the relational model among the CN1686973 is applied to as CN1150300, each operating parameter that steadily makes by control raw material cracking severity is reasonably chosen, and the operation of maintenance back workshop section is stable.Such scheme proposed by the cracking severity of control cracking stock steadily, make pyrolysis furnace produce held stationary, whether the total price of but ignoring the cracking product of pyrolysis furnace production is in maximum, thereby can't judge whether its production economic benefit reaches optimum.
Summary of the invention
In order to address the above problem, the present invention relates to a kind of autocontrol method that is used for the industrial pyrolysis furnace production operation.Realize that with traditional employing control cracking severity the method for pyrolysis furnace quiet run is different, adopt the on-line automatic control system of industrial pyrolysis furnace of the present invention, make the total value of the cracking product of industrial pyrolysis furnace production reach maximum, thereby improve the economic benefit of manufacturing enterprise.
The on-line automatic control method of industrial pyrolysis furnace provided by the invention, its process comprise to be set up the pyrolysis product pricing system, sets up the pyrolysis furnace pyrolysis product and be worth that largest optimization model, cracking stock Physical Property Analysis, pyrolysis furnace operation optimization calculate, cracking severity is measured, the pyrolysis furnace running status is judged, pyrolysis furnace is operated online adjustment.Set up pyrolysis furnace pyrolysis product value maximization model by pyrolysis product pricing system and pyrolysis furnace pyrolysis product forecast model, model is installed on the server that links to each other with the pyrolysis furnace Distributed Control System (DCS), server is according to the cracking stock Physical Property Analysis data of input, the pyrolysis furnace operating conditions is optimized calculating to cracking furnace operating condition, and compare with the cracking severity of practical operation, the cracking furnace operating state is judged: optimize within the range of operation if the pyrolysis furnace operation is in, then carry out the origin operation condition, otherwise the cracking furnace operating is adjusted, with the operating conditions input pyrolysis furnace Distributed Control System (DCS) of optimizing, thereby realize the optimization that pyrolysis furnace is operated.
Concrete scheme is as follows:
The invention provides the method for the on-line automatic control of industrial pyrolysis furnace, the pyrolysis product that pyrolysis furnace is produced is worth maximum.Described method may further comprise the steps:
1, set up the pyrolysis product pricing system: whether can directly or finally form the cracking product by ethylene unit indirectly according to the pyrolysis furnace pyrolysis product and determine the pyrolysis product price: if pyrolysis product can finally form the cracking product, its price equals the price of cracking product, otherwise price is zero;
2, set up pyrolysis furnace pyrolysis product value maximization Optimization Model: based on pyrolysis furnace pyrolysis product yield forecast model, pyrolysis furnace pyrolysis product forecast model pyrolysis product yield is multiplied each other with corresponding pyrolysis product price body in 1, and this model can calculate pyrolysis product yield, pyrolysis product flow, pyrolysis product total value according to cracking stock rerum natura, operating conditions, pyrolysis product pricing system; Mathematical methods such as employing average search are set up pyrolysis furnace pyrolysis product value maximization Optimization Model, this model is according to pyrolysis furnace and cracking stock rerum natura, within pyrolysis furnace operating conditions scope, by search or calculate the pyrolysis furnace cracking stock by the pyrolysis product yield under the operating conditions, pyrolysis product total value, seek out operating conditions and the pyrolysis product yield of pyrolysis product total value when maximum.
3, cracking stock Physical Property Analysis: according to the needed cracking stock physical parameter of pyrolysis furnace pyrolysis product value maximization Optimization Model, the physical parameter of analytical pyrolysis raw material.
4, the pyrolysis furnace operation optimization calculates: pyrolysis furnace value maximization Optimization Model is installed on the server, and server links to each other with the pyrolysis furnace Distributed Control System (DCS).The pyrolysis furnace Distributed Control System (DCS) is with in the pyrolysis furnace operating conditions input server, and server can be according to cracking stock rerum natura, the operating conditions analyzed, and computation optimization goes out pyrolysis product total value maximum corresponding operating conditions and pyrolysis product yield.
5, cracking severity is measured: the molar content of the methane by on-line chromatograph analytical pyrolysis gas, ethene, propylene calculates cracking severity.
Whether 6, the pyrolysis furnace running status is judged: the pyrolysis product yield that goes out according to computation optimization calculates corresponding cracking severity, and compares with cracking severity that industrial pyrolysis furnace is measured, judge that pyrolysis furnace moves to be within the Optimizing operation scope.
7, pyrolysis furnace is operated online adjustment: if pyrolysis furnace is not in the Optimizing operation scope, pyrolysis furnace is carried out online adjustment, the operating conditions of pyrolysis furnace pyrolysis product value maximization seismic responses calculated is imported the pyrolysis furnace Distributed Control System (DCS) by server, realize the pyrolysis furnace Optimizing operation thus.
In pyrolysis furnace production operation process, client/server (C/S) is equipped with pyrolysis furnace pyrolysis product value maximization Optimization Model, and server links to each other with the pyrolysis furnace Distributed Control System (DCS), controls with the production Automatic Optimal that realizes pyrolysis furnace by server.Pyrolysis furnace pyrolysis product value maximization Optimization Model calculates the yield of all pyrolysis products under corresponding coil outlet temperature (COT) of cracking product total value maximum and the corresponding conditions according to cracking stock rerum natura, operating conditions (inlet amount, quantity of steam or dilution ratio, XOT) and pyrolysis product price.By industrial actual operating data and computation optimization result contrast, judge whether pyrolysis furnace is in the Optimizing operation state: then do not adjust if be in the Optimizing operation state, otherwise the operating conditions of computation optimization is imported the pyrolysis furnace Distributed Control System (DCS) by server, to realize the control of pyrolysis furnace operation optimization.
Preferably, industrial pyrolysis furnace pyrolysis product price is based on the price of the cracking product of ethylene unit production, and the price of the pyrolysis product of direct or indirect production cracking product is the price of this cracking product.
Preferably, pyrolysis furnace pyrolysis product value maximization model is to be that foundational development goes out pyrolysis furnace pyrolysis product total value model with pyrolysis furnace pyrolysis product forecast model:
That is: pyrolysis furnace pyrolysis product total value=inlet amount * ∑ pyrolysis product yield flow * pyrolysis product market price.
More preferably, based on pyrolysis furnace pyrolysis product total value model, set up pyrolysis furnace pyrolysis product value maximization Optimization Model: promptly adopt mathematical methods such as average search, seek or the interior pyrolysis product total value of calculating operation condition and range maximum corresponding operating conditions and pyrolysis product yield, the operating conditions of optimization typically refers to coil outlet temperature (COT).
Further preferably, pyrolysis furnace pyrolysis product yield forecast model is to shift onto or return according to experimental data or half mechanism model or mechanism model to have obtained, and calculates the yield of pyrolysis furnace pyrolysis product according to cracking stock rerum natura and operating conditions.
For pyrolysis furnace pyrolysis product yield value maximization seismic responses calculated result, need compare with the industrial pyrolysis furnace actual operating state, whether be in the Optimizing operation scope to judge the industrial pyrolysis furnace practical operation.
For the pyrolysis furnace operation optimization whether handle in the optimization range according to the relative error between the cracking severity of the cracking severity of pyrolysis furnace pyrolysis product value maximization seismic responses calculated and industrial pyrolysis furnace actual motion.
Relative error=| the cracking severity of computation optimization cracking severity-actual motion |/computation optimization cracking severity
Preferably, the relative error value is less than 10%, and pyrolysis furnace is within the Optimizing operation scope, relative error value preferred 5%.If the pyrolysis furnace actual motion is in the optimization state, does not then need the cracking furnace operating is adjusted, otherwise the operating conditions of computation optimization is imported the pyrolysis furnace Distributed Control System (DCS) by server, thereby realize the operation optimization of pyrolysis furnace.
For the cracking severity of pyrolysis furnace, normally propene yield/yield of ethene (weight) or methane yield/propene yield (weight) in the pyrolysis product.For pyrolysis furnace pyrolysis product value maximization Optimization Model, when computation optimization, calculate the operating conditions of optimization, therefore calculate the yield of all pyrolysis products again, comprise methane, ethene, propylene, utilize the computation optimization result can calculate cracking severity under the optimal conditions.
Cracking severity for the actual motion of industrial pyrolysis furnace, can adopt with following methods analyst and calculate: draw one pyrolysis gas in the waste heat boiler outlet, this pyrolysis gas is cooled to 0-50 ℃, utilize the molar content of methane in the industrial on-line chromatograph analytical pyrolysis gas, ethene, propylene then, it is changed into the weight ratio of propylene/ethylene or methane/propylene, can calculate the cracking severity in the industrial pyrolysis furnace actual moving process thus.
According to the cracking product market price that ethylene unit is produced, determine the price of every kind of pyrolysis product of pyrolysis furnace.Client/server (C/S) is set near pyrolysis furnace Distributed Control System (DCS) (DCS) links to each other, client/server (C/S) is equipped with the pyrolysis furnace pyrolysis product and is worth the largest optimization model.In pyrolysis furnace production operation process, pyrolysis furnace pyrolysis product yield is worth maximum model according to cracking stock Physical Property Analysis data and industrial pyrolysis furnace service data, calculate pyrolysis product and be worth maximum corresponding coil outlet temperature and corresponding yield, according to the COT under the yield calculation optimization condition of calculating methane, ethene, propylene.Draw one pyrolysis gas in the outlet of pyrolysis furnace waste heat boiler, this pyrolysis gas is cooled to after 0-50 ℃, utilize after industrial on-line chromatograph or the off-line stratographic analysis cooling weight content of methane, ethene, propylene in the pyrolysis gas, calculate the cracking severity of pyrolysis furnace operation with this.The difference and the Model Calculation of the cracking severity of cracking severity that computation model calculates and pyrolysis furnace operation are worth ratio, judge whether industrial pyrolysis furnace is in the Optimizing operation state range.If than smaller or equal to 10%, then pyrolysis furnace operation is in and optimizes in the state range, otherwise is in the unoptimizable state range ratio preferred 5%.If the pyrolysis furnace operation is not in the optimization state, then operation is adjusted to pyrolysis furnace, and the coil outlet temperature (COT) that computation optimization obtains is imported in the pyrolysis furnace Distributed Control System (DCS) (DCS), realizes that pyrolysis product is worth the on-line operation control that reaches optimum.
The pyrolysis product price depends on the price of cracking product, can change into the price of the pyrolysis product of final cracking product by ethylene unit, just equals the price of cracking product, otherwise price is set to zero, can set up pyrolysis furnace pyrolysis product pricing system thus.
Pyrolysis furnace pyrolysis product yield forecast model is the core of pyrolysis furnace on-line optimization operation.It is based on pyrolysis furnace pyrolysis product forecast model that the pyrolysis furnace pyrolysis product is worth the largest optimization model, rerum natura, pyrolysis furnace operation service data, pyrolysis product pricing system at cracking stock, in limiting the pyrolysis furnace opereating specification, adopt mathematical methods such as average search method, calculate or seek out the operating conditions and the pyrolysis product yield of cracking value of the product maximum.Pyrolysis furnace pyrolysis product yield forecast model can be by the mathematical model of test figure conclusion or the half mechanism semiempirical model or the mechanism model of deriving by the cracking stock heat scission reaction.Pyrolysis furnace pyrolysis product yield mathematical prediction model type and method are more, as adopting BP neural network or non-linear regression the test figure of industry or small testing device are returned the model of concluding formation; And mechanism model is less relatively, and mechanism model is by the exploitation of external pyrolysis furnace patent merchant and scientific research institute, and as the SPYRO software of TECHNIP company, the PYPS of LUMMUS company software etc., the pyrolysis product yield that all can calculate the pyrolysis furnace operation distributes.
The employed cracking stock of pyrolysis furnace thermal cracking is a petroleum hydrocarbon.Petroleum hydrocarbon is made up of lighter hydrocarbons and liquid cracking stock, lighter hydrocarbons cracking stock such as ethane, propane, LPG, liquid cracking stock such as naphtha, diesel oil, hydrogenation tail oil.Raw material Physical Property Analysis data are the parameters that are used for pyrolysis furnace pyrolysis product yield optimization Model Calculation, and for lighter hydrocarbons, the raw material physical data mainly is to form weight content; For the liquid cracking stock, physical data is more, forms in detail as proportion, ASTM boiling range, group composition, index of refraction, carbon residue, raw material.The analysis of raw material rerum natura can be taked off-line or on-line analysis, and analyzing data can be directly or import client/server (C/S) indirectly, physical data such as ASTM boiling range, proportion, group composition, forms (weight content) etc. in detail.
In pyrolysis furnace production operation process, the service data of pyrolysis furnace is provided with and is controlled by pyrolysis furnace Distributed Control System (DCS) (DCS), as raw material inlet amount, dilution steam generation amount or dilution ratio, across section temperature (XOT), coil outlet temperature (COT), wherein coil outlet temperature (COT) is that the pyrolysis furnace pyrolysis product is worth the object that the largest optimization model is optimized, and the pyrolysis furnace production operation realizes operation optimization by regulating coil outlet temperature.The pyrolysis furnace pyrolysis product is worth the largest optimization model according to cracking stock rerum natura, raw material inlet amount, dilution steam generation amount (dilution ratio), across section temperature (XOT), pyrolysis product pricing system, calculates pyrolysis furnace production cracking product price maximum corresponding COT and pyrolysis product yield.The pyrolysis furnace pyrolysis product is worth largest optimization model required raw material inlet amount, dilution steam generation amount or dilution ratio, can directly or indirectly imports client/server (C/S) by pyrolysis furnace Distributed Control System (DCS) (DCS) across section temperature (XOT), and the pyrolysis product pricing system then can directly be imported client/server (C/S).Optimize result's (coil outlet temperature) and can directly or indirectly import the optimal control of pyrolysis furnace Distributed Control System (DCS) realization pyrolysis furnace by client/server (C/S).Coil outlet temperature for after optimizing should be limited within the pyrolysis furnace normal operation range, otherwise too high meeting causes the pyrolysis furnace cycle of operation to shorten greatly.
The present invention relates to the assay method of pyrolysis furnace cracking severity.This method is drawn one pyrolysis gas in the outlet of pyrolysis furnace waste heat boiler, this pyrolysis gas is cooled to 0-20 ℃ forms gas phase and two bursts of logistics of liquid phase.Utilize the content of methane, ethene, propylene in industrial on-line chromatograph or the off-line stratographic analysis pyrolysis gas, to calculate cracking severity (propylene/ethylene or methane/propylene).
In pyrolysis furnace production operation process, after application pyrolysis furnace pyrolysis product value largest optimization model was optimized calculating, reply pyrolysis furnace running status was judged, sees whether the COT of pyrolysis furnace is in the Optimizing operation state range.The ratio of the absolute difference of the cracking severity of the foundation of judging cracking severity that to be pyrolysis furnace pyrolysis product yield optimization model calculate according to cracking stock rerum natura and pyrolysis furnace service data (raw material inlet amount, quantity of steam or dilution ratio, XOT) and pyrolysis furnace operation and the cracking severity of Model Calculation.Optimize in the operation state range if ratio is in smaller or equal to 10% pyrolysis furnace, do not need COT is not adjusted; If be in the unoptimizable running status, need adjust ratio preferred 5% to COT greater than 10% pyrolysis furnace.The method of adjusting is the COT input pyrolysis furnace DCS system with pyrolysis furnace yield product seismic responses calculated, thereby realizes the optimization production operation of pyrolysis furnace.
Pyrolysis furnace Distributed Control System (DCS) (DCS system) is adjusted coil outlet temperature speed must not be higher than 15 ℃/hour, may cause boiler tube inwall coke to peel off too soon and stops up boiler tube because regulate the speed.Exceed the pyrolysis furnace normal operation range if the pyrolysis furnace pyrolysis product is worth the COT of largest optimization Model Calculation, should COT be set to the mxm. in the pyrolysis furnace opereating specification.
The present invention proposes the new method of pyrolysis furnace operation, not only can realize also can making the steady control of pyrolysis furnace the cracking value of the product of pyrolysis furnace production reach maximization, thereby improve the economic benefit of manufacturing enterprise by this method.
Description of drawings
Fig. 1 is COT and cracking value of the product relation.
Embodiment
Further describe the present invention below in conjunction with embodiment.Scope of the present invention includes but not limited to the content of these embodiment.
Method of the present invention is applied to the CBL-III type industrial pyrolysis furnace of certain olefin plant.This olefin plant ethylene production capacity is 200,000 tons, and the final cracking product of ethylene unit production is ethene, propylene, C-4-fraction, pyrolysis gasoline, pyrolysis gas oil, Pyrolysis fuel oil PFO.With the cracking product market price is foundation, sets up the pyrolysis product pricing system, (as shown in table 1).CBL-III type pyrolysis furnace cracking stock is a naphtha, adopts 32 groups of 2-1 type boiler tubes, produces 60000 tons of ethene per year.The ANTARIS Fourier near-infrared analyzer of a U.S. THERMO company is installed, on-line analysis naphtha rerum natura near pyrolysis furnace.One station server is set near the pyrolysis furnace Distributed Control System (DCS), and server and pyrolysis furnace Distributed Control System (DCS) and Fourier near-infrared analyzer link.
Table 1 is the pyrolysis product price.
| Pricing system | |
| Hydrogen | 0 |
| Methane | 0 |
| Ethane | 0 |
| Ethene | 9130 |
| Acetylene | 9130 |
| Propane | 0 |
| Propylene | 12352 |
| Propine | 12352 |
| Propadiene | 12352 |
| Butane | 6300 |
| Butylene | 6300 |
| Butadiene | 6300 |
| Benzene | 6700 |
| Toluene | 6700 |
| Dimethylbenzene | 6700 |
| Ethylbenzene | 6700 |
| Styrene | 6700 |
| Pyrolysis gasoline | 6700 |
| Pyrolysis gas oil | 3652 |
| Fuel oil | 3652 |
At the pyrolysis furnace initial operating stage, pyrolysis furnace Distributed Control System (DCS) upslide oil mass is provided with 24 tons/hour, and water-oil factor is 0.5, and XOT is 600 ℃, and COT is 840 ℃.After treating that pyrolysis furnace operates steadily, server receives the naphtha physical data (as shown in table 2) of Fourier near-infrared analyzer analysis and throwing oil mass, water-oil factor, the XOT that the pyrolysis furnace Distributed Control System (DCS) is imported into, the pyrolysis furnace pyrolysis product be worth the largest optimization model according to the raw material rerum natura of input, throw oil mass, dilution ratio, carry out analog computation across section temperature, pyrolysis product pricing system, the COT that calculates cracking product price maximum is 815 ℃, and cracking severity (propylene/ethylene=17.17%/26.65%) is 0.6443.Cracking severity to CBL-III type pyrolysis furnace operational process is measured, and obtaining cracking severity is 0.5097.Can calculate the ratio of cracking severity thus, promptly
Cracking severity %=| (0.6443-0.5097) |/0.6443=20.89%
The cracking severity ratio that calculates is 20.89%, and greater than 5%, so the pyrolysis furnace operation is in the unoptimizable opereating specification.In COT after server will be optimized (815 ℃) the input pyrolysis furnace Distributed Control System (DCS).After the pyrolysis furnace Distributed Control System (DCS) obtains server input ground instruction, with 15 ℃/hour heating rates COT is reduced to 815 ℃ from 840 ℃, the cracking product price of pyrolysis furnace production is brought up to 171237.7 yuan/hour (as shown in Figure 1) by 168962.2 yuan/hour, thereby has realized pyrolysis furnace optimization On-line Control.
Table 2 is naphtha 2 physical datas.
Claims (14)
1. the on-line automatic control method of an industrial pyrolysis furnace production operation, its process comprises sets up cracking stock Physical Property Analysis, the calculating of pyrolysis furnace operation optimization, it is characterized in that, the pyrolysis product pricing system, set up the pyrolysis furnace pyrolysis product and be worth that largest optimization model, cracking severity are measured, the pyrolysis furnace running status is judged, pyrolysis furnace is operated online adjustment, further may further comprise the steps:
(1) sets up pricing system: the price of establishing every kind of pyrolysis product;
(2) modeling: set up the pyrolysis furnace pyrolysis product and be worth the largest optimization model, and it is installed on the client/server (C/S);
(3) feedstock analysis: analytical pyrolysis raw material rerum natura;
(4) optimize: cracking stock Physical Property Analysis data and industrial pyrolysis furnace service data input pyrolysis furnace pyrolysis product are worth in the largest optimization model, calculate the pyrolysis furnace operating conditions and the pyrolysis product yield of optimization, and calculate cracking severity;
(5) cracking severity is measured: measure the cracking severity under the industrial crack furnace operating state;
(6) running status is judged: the data that the pyrolysis furnace pyrolysis product are worth largest optimization Model Calculation cracking severity and operation compare, and judge whether the cracking operation is in the optimization state range;
(7) adjust: if the pyrolysis furnace operation is in the Optimizing operation state range, then not to pyrolysis furnace production operation adjust; If the pyrolysis furnace operation is not in the optimization state range, in the operating conditions input pyrolysis furnace Distributed Control System (DCS) (DCS system) after then will optimizing, realize the pyrolysis furnace on-line optimization is operated.
2. the on-line automatic control method of a kind of industrial pyrolysis furnace production operation according to claim 1 is characterized in that: the cracking stock of described pyrolysis furnace is a petroleum hydrocarbon, comprises lighter hydrocarbons, naphtha, diesel oil, hydrogenation tail oil.
3. the on-line automatic control method of a kind of industrial pyrolysis furnace production operation according to claim 1, it is characterized in that, the cracking stock rerum natura of analyzing is to be used for the parameter that the pyrolysis furnace pyrolysis product is worth the largest optimization Model Calculation, comprises that proportion, ASTM boiling range, group composition weight content, raw material form weight content in detail.
4. the on-line automatic control method of a kind of industrial pyrolysis furnace production operation according to claim 1, it is characterized in that, the market price of the cracking product that the relative ethylene unit of the price of pyrolysis furnace pyrolysis product is produced is identical, and not related pyrolysis product price is zero.
5. the on-line automatic control method of a kind of industrial pyrolysis furnace production operation according to claim 1, it is characterized in that, it is based on pyrolysis furnace pyrolysis product forecast model that the pyrolysis furnace pyrolysis product is worth the largest optimization model, rerum natura, pyrolysis furnace operation data, pyrolysis product price at cracking stock, in pyrolysis furnace operating conditions restriction range, adopt mathematical method to seek or calculate pyrolysis product and be worth maximum operating conditions and pyrolysis product yield.
6. the on-line automatic control method of a kind of industrial pyrolysis furnace production operation according to claim 5 is characterized in that described mathematical method comprises searching method.
7. the on-line automatic control method of a kind of industrial pyrolysis furnace production operation according to claim 5, it is characterized in that, described pyrolysis furnace pyrolysis product yield forecast model is that this model can calculate the pyrolysis product yield according to cracking rerum natura and pyrolysis furnace operating conditions by the mathematical model of test figure conclusion or semiempirical half mechanism model or the mechanism model of deriving according to the cracking stock heat scission reaction.
8. the on-line automatic control method of a kind of industrial pyrolysis furnace production operation according to claim 5, it is characterized in that, described pyrolysis furnace service data is a performance variable, be raw material inlet amount, dilution steam generation amount or dilution ratio, across section temperature (XOT), the operating conditions of optimization is coil outlet temperature (COT).
9. the on-line automatic control method of a kind of industrial pyrolysis furnace production operation according to claim 5, it is characterized in that, described pyrolysis furnace pyrolysis product is worth the largest optimization model according to raw material rerum natura, raw material inlet amount, dilution steam generation amount or dilution ratio (dilution steam generation amount/raw material inlet amount), across section temperature (XOT), calculates pyrolysis product and is worth coil outlet temperature (COT) and the corresponding pyrolysis product yield that reaches maximum correspondence.
10. the on-line automatic control method of a kind of industrial pyrolysis furnace production operation according to claim 1 is characterized in that, the cracking severity of described pyrolysis furnace is propylene/ethylene or methane/propene yield weight ratio.
11. the on-line automatic control method of a kind of industrial pyrolysis furnace production operation according to claim 1, it is characterized in that, the pyrolysis furnace running status judges it is cracking severity and the absolute difference of industrial pyrolysis furnace operation cracking severity and the cracking severity ratio of Model Calculation that the pyrolysis furnace pyrolysis product is worth the largest optimization Model Calculation, whether is in the Optimizing operation state range to judge the pyrolysis furnace operation.If the ratio that is calculated is smaller or equal to 10%, the pyrolysis furnace operation is in the optimization state; If be in the unoptimizable state greater than the operation of 10% pyrolysis furnace.
12. the on-line automatic control method of a kind of industrial pyrolysis furnace production operation according to claim 11 is characterized in that, the optimum ratio of described ratio is 5%.
13. the on-line automatic control method of a kind of industrial pyrolysis furnace production operation according to claim 1, it is characterized in that, pyrolysis furnace production operation on-line optimization and adjustment to as if coil outlet temperature (COT), if pyrolysis furnace is in the optimization state, then pyrolysis furnace COT is not adjusted; If pyrolysis furnace is in the unoptimizable state, in the COT input pyrolysis furnace Distributed Control System (DCS) (DCS system) with pyrolysis furnace pyrolysis product yield optimization Model Calculation, thereby realize the control of pyrolysis furnace operation optimization.
14. the on-line automatic control method of a kind of industrial pyrolysis furnace production operation according to claim 10 is characterized in that, adjusts coil outlet temperature speed and must not be higher than 15 ℃/hour.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN107272622A (en) * | 2017-06-30 | 2017-10-20 | 河南地之绿环保科技有限公司 | A kind of automatic on-line control method of production operation of industrial cracking furnace |
| CN109200961A (en) * | 2018-08-16 | 2019-01-15 | 鸿微(昆山)工程技术有限公司 | A kind of continuous flow production control method, the device and system of microreactor |
| CN111598305A (en) * | 2020-04-21 | 2020-08-28 | 汉谷云智(武汉)科技有限公司 | Method for optimizing and predicting running state of light hydrocarbon separation device |
| CN113359441A (en) * | 2021-05-26 | 2021-09-07 | 东南大学溧阳研究院 | Uncertainty compensation based combustion chamber thermal acoustic oscillation model prediction control method |
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| 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 |
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| 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 |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107272622A (en) * | 2017-06-30 | 2017-10-20 | 河南地之绿环保科技有限公司 | A kind of automatic on-line control method of production operation of industrial cracking furnace |
| CN109200961A (en) * | 2018-08-16 | 2019-01-15 | 鸿微(昆山)工程技术有限公司 | A kind of continuous flow production control method, the device and system of microreactor |
| CN111598305A (en) * | 2020-04-21 | 2020-08-28 | 汉谷云智(武汉)科技有限公司 | Method for optimizing and predicting running state of light hydrocarbon separation device |
| CN111598305B (en) * | 2020-04-21 | 2023-07-18 | 汉谷云智(武汉)科技有限公司 | Light hydrocarbon separation device running state optimization and prediction method |
| CN113359441A (en) * | 2021-05-26 | 2021-09-07 | 东南大学溧阳研究院 | Uncertainty compensation based combustion chamber thermal acoustic oscillation model prediction control method |
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