CN102289199B - 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
- Publication number
- CN102289199B CN102289199B CN 201010204480 CN201010204480A CN102289199B CN 102289199 B CN102289199 B CN 102289199B CN 201010204480 CN201010204480 CN 201010204480 CN 201010204480 A CN201010204480 A CN 201010204480A CN 102289199 B CN102289199 B CN 102289199B
- Authority
- CN
- China
- Prior art keywords
- cracking
- furnace
- pyrolysis
- pyrolysis furnace
- product
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Landscapes
- Production Of Liquid Hydrocarbon Mixture For Refining Petroleum (AREA)
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 cracking furnace in ethylene preparing equipment production operation is optimized.
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 newly increases is also mainly produced in the steam cracking mode by pyrolysis furnace.Pyrolysis furnace is the main device of producing the basic organic chemical raw materials such as ethene, propylene, butadiene, aromatic hydrocarbons, and Energy consumption of cracking furnace accounts for more than 70% of whole ethylene producing device.
In pyrolysis furnace production operation process, except cracking stock, the factor that affects yield of cracked product 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 physical property, even adopt identical pyrolysis furnace and operating conditions, its yield of cracked product distributes not identical; Even the cracking stock that physical property is identical uses different pyrolysis furnace or operating conditions, its yield of cracked product distributes also not identical.Therefore, in the pyrolysis furnace production run, often for the cracking stock physical property, 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 pyrolysis gas being carried out coolingly wait pre-service to realize that pyrolysis gas takes a sample online or utilize on-line chromatograph to carry out on-line analysis.For the content of obtaining online the pyrolysis gas sample and carrying out off-line analysis or obtained hydrogen, methane, ethene, propylene in pyrolysis gas by the on-line chromatograph analysis, thereby can calculate cracking severity, control pyrolysis furnace performance variable (raw material inlet amount, dilution steam generation amount, coil outlet temperature) by controlling cracking severity, thereby realize the quiet run of pyrolysis furnace.
In pyrolysis furnace research and design process, pyrolysis furnace patent business 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 the analog computation yield of cracked product, wherein APSEN company incorporates SPYRO software the pyrolysis furnace Advanced Control Techniques 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, as Chinese patent CN1686973, a kind of method that cracking furnace installation is first controlled is proposed, by the relational model with the raw material cracking severity such as Establishment of Neural Model material density, throwing oil mass, water-oil factor, the average outlet temperature of boiler tube, boiler export temperature.Chinese patent CN1150300 has proposed the relational model in CN1686973 is applied to the Based Intelligent Control of ethane cracking furnace, reasonably chooses by each operating parameter that steadily makes of controlling the raw material cracking severity, and keeps operation stable of back workshop section.Such scheme has proposed to produce held stationary by the pyrolysis furnace that steadily makes of controlling cracking severity, and whether the yield yield of cracked product 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, and is usually can more than ten not several, and the cracking product on market with certain sell at competitive, and affected by supplydemand relationship.The pyrolysis furnace yearly capacity of alkene manufacturing enterprise is different, and there is larger difference in the cracking product that ethylene unit is produced: the ethene annual production is less than the manufacturing enterprise of 300,000 tons, and the cracking product is mainly ethene and propylene; The ethene annual production is more than or equal to the manufacturing enterprise of 300,000 tons, 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 impact of the demand-supply relation except the price that is subjected to raw material, 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 cracking product price that yield is higher may not be higher, and the cracking value of the product that yield is lower is lower.Therefore, pyrolysis furnace operation only can not make the economic benefit of manufacturing enterprise reach higher level take value and the fluctuation of cracking product market price that diene or triolefin triphen are ignored other secondary products as main cracking product, 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 the economy problems for considering that pyrolysis furnace is produced, the Based Intelligent Control of ethane cracking furnace has been proposed the relational model in CN1686973 is applied to as CN1150300, reasonably choose by each operating parameter that steadily makes of controlling the raw material cracking severity, and keep operation stable of back workshop section.Such scheme proposed by the cracking severity of controlling 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 economy benefit reaches optimum.
Summary of the invention
In order to address the above problem, the present invention relates to a kind of autocontrol method for production operation of industrial cracking furnace.Control cracking severity from traditional employing and realize that 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 set up the pyrolysis product pricing system, set up cracked product of cracking furnace Maximum Value Optimized model, cracking stock Physical Property Analysis, pyrolysis furnace operation optimization calculate, cracking severity is measured, the judgement of pyrolysis furnace running status, the pyrolysis furnace operation is online adjusts.set up cracked product of cracking furnace value maximization model by pyrolysis product pricing system and cracked product of cracking furnace forecast model, model is arranged on the server that is connected 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: if pyrolysis furnace operation be in optimize range of operation within, 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 of pyrolysis furnace operation.
Concrete scheme is as follows:
The invention provides the method for the on-line automatic control of industrial pyrolysis furnace, the pyrolysis product Maximum Value that pyrolysis furnace is produced.Described method comprises the following steps:
1, set up the pyrolysis product pricing system: whether can directly or indirectly finally form the cracking product by ethylene unit according to cracked product of cracking furnace 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 cracked product of cracking furnace value maximization Optimized model: based on the yield of cracked product of cracking furnace forecast model, corresponding pyrolysis product price body in cracked product of cracking furnace forecast model yield of cracked product and 1 is multiplied each other, and this model can calculate yield of cracked product, pyrolysis product flow, pyrolysis product total value according to cracking stock physical property, operating conditions, pyrolysis product pricing system; The mathematical methods such as employing average search are set up cracked product of cracking furnace value maximization Optimized model, this model is according to pyrolysis furnace and cracking stock physical property, within pyrolysis furnace operating conditions scope, by search or calculate the pyrolysis furnace cracking stock by the yield of cracked product under operating conditions, pyrolysis product total value, seek out operating conditions and the yield of cracked product of pyrolysis product total value when maximum.
3, cracking stock Physical Property Analysis: cracking stock physical parameter needed according to cracked product of cracking furnace value maximization Optimized model, the physical parameter of analytical pyrolysis raw material.
4, the pyrolysis furnace operation optimization calculates: pyrolysis furnace value maximization Optimized model is arranged on server, and server is connected with the pyrolysis furnace Distributed Control System (DCS).The pyrolysis furnace Distributed Control System (DCS) is with in pyrolysis furnace operating conditions input server, and server can according to cracking stock physical property, the operating conditions analyzed, be optimized the operating conditions and the yield of cracked product that calculate the maximum correspondence of pyrolysis product total value.
5, cracking severity is measured: the molar content of the methane by on-line chromatograph analytical pyrolysis gas, ethene, propylene calculates cracking severity.
6, pyrolysis furnace running status judgement: the yield of cracked product that calculates according to optimization calculates corresponding cracking severity, and compares with cracking severity that industrial pyrolysis furnace is measured, judge pyrolysis furnace move whether be in the Optimum Operation scope within.
7, the pyrolysis furnace operation is online to be adjusted: if pyrolysis furnace is not in the Optimum Operation scope, pyrolysis furnace is adjusted online, the operating conditions of cracked product of cracking furnace value maximization seismic responses calculated is inputted the pyrolysis furnace Distributed Control System (DCS) by server, realize thus the cracking furnace optimization operation.
In pyrolysis furnace production operation process, client/server (C/S) is equipped with cracked product of cracking furnace value maximization Optimized model, and server is connected with the pyrolysis furnace Distributed Control System (DCS), controls with the production Automatic Optimal that realizes pyrolysis furnace by server.Cracked product of cracking furnace value maximization Optimized model calculates the yield of all pyrolysis products under coil outlet temperature (COT) corresponding to cracking product total value maximum and corresponding conditions according to cracking stock physical property, operating conditions (inlet amount, quantity of steam or dilution ratio, XOT) and pyrolysis product price.By industrial actual operating data and the contrast of optimization result of calculation, judge whether pyrolysis furnace is in the Optimum Operation state: do not adjust if be in the Optimum Operation state, input the pyrolysis furnace Distributed Control System (DCS) otherwise will optimize the operating conditions of calculating by server, control to realize the 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, cracked product of cracking furnace value maximization model is to go out cracked product of cracking furnace total value model take the cracked product of cracking furnace forecast model as foundational development:
That is: cracked product of cracking furnace total value=inlet amount * ∑ yield of cracked product flow * pyrolysis product market price.
More preferably, based on cracked product of cracking furnace total value model, set up cracked product of cracking furnace value maximization Optimized model: namely adopt the 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 yield of cracked product, the operating conditions of optimization typically refers to coil outlet temperature (COT).
Further preferably, the yield of cracked product of cracking furnace 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 cracked product of cracking furnace according to cracking stock physical property and operating conditions.
For yield of cracked product of cracking furnace value maximization seismic responses calculated result, need to compare with the industrial pyrolysis furnace actual operating state, whether be in the Optimum Operation scope to judge the industrial pyrolysis furnace practical operation.
For the pyrolysis furnace operation optimization whether process in optimization range according to the relative error between the cracking severity of the cracking severity of cracked product of cracking furnace value maximization seismic responses calculated and industrial pyrolysis furnace actual motion.
Relative error=| optimize the cracking severity that calculates cracking severity-actual motion |/optimize and calculate cracking severity
Preferably, the relative error value is less than 10%, within pyrolysis furnace is in the Optimum Operation scope, and relative error value preferred 5%.If the pyrolysis furnace actual motion is in Optimal State, do not need the cracking furnace operating is adjusted, input the pyrolysis furnace Distributed Control System (DCS) otherwise will optimize the operating conditions of calculating 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 pyrolysis product.For cracked product of cracking furnace value maximization Optimized model, optimizing the operating conditions that calculates optimization when calculating, calculate again the yield of all pyrolysis products, comprise methane, ethene, propylene, therefore utilization optimization result of calculation can calculate the cracking severity under optimal conditions.
Cracking severity for the actual motion of industrial pyrolysis furnace, can adopt with the following methods analytical calculation and obtain: draw one pyrolysis gas in the waste heat boiler outlet, this pyrolysis gas is cooled to 0-50 ℃, then utilize the molar content of methane in industrial on-line chromatograph analytical pyrolysis gas, ethene, propylene, it is changed into the weight ratio of propylene/ethylene or methane/propylene, can calculate thus the cracking severity in the industrial pyrolysis furnace actual moving process.
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) is connected, client/server (C/S) is equipped with cracked product of cracking furnace Maximum Value Optimized model.In pyrolysis furnace production operation process, yield of cracked product of cracking furnace Maximum Value model is according to cracking stock Physical Property Analysis data and industrial pyrolysis furnace service data, calculate coil outlet temperature corresponding to pyrolysis product Maximum Value 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 the weight content of methane, ethene, propylene in the cooling pyrolysis gas afterwards of industrial on-line chromatograph or off-line stratographic analysis, calculate the cracking severity of pyrolysis furnace operation with this.Difference and the model calculated value of the cracking severity of the cracking severity that computation model calculates and pyrolysis furnace operation get ratio, judge whether industrial pyrolysis furnace is in the Optimum Operation state range.If compare less than or equal to 10%, pyrolysis furnace operation is in the Optimal State scope, otherwise is in the unoptimizable state range ratio preferred 5%.If the pyrolysis furnace operation is not in Optimal State, operation is adjusted to pyrolysis furnace, the coil outlet temperature (COT) that optimization calculates is inputted in pyrolysis furnace Distributed Control System (DCS) (DCS), realized that pyrolysis product is worth the on-line operation that reaches optimum and controls.
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 the cracked product of cracking furnace pricing system thus.
The yield of cracked product of cracking furnace forecast model is the core of pyrolysis furnace on-line optimization operation.Cracked product of cracking furnace Maximum Value Optimized model is take the cracked product of cracking furnace forecast model as the basis, physical property, pyrolysis furnace operation service data, pyrolysis product pricing system for cracking stock, in limiting the pyrolysis furnace opereating specification, adopt the mathematical methods such as average search method, calculate or seek out operating conditions and the yield of cracked product of cracking value of the product maximum.The yield of cracked product of cracking furnace forecast model can be the mathematical model of concluding by test figure or half mechanism semiempirical model or the mechanism model of deriving by the cracking stock heat scission reaction.Yield of cracked product of cracking furnace 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 relatively less, and mechanism model is by external pyrolysis furnace patent business and the exploitation of scientific research institute, and as the SPYRO software of TECHNIP company, the LUMMUS PYPS of company software etc., the yield of cracked product that all can calculate the pyrolysis furnace operation distributes.
The cracking stock that the pyrolysis furnace thermal cracking is used is petroleum hydrocarbon.Petroleum hydrocarbon is comprised of lighter hydrocarbons and liquid cracking stock, light hydrocarbon cracking raw material 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 for the yield of cracked product of cracking furnace seismic responses calculated, and for lighter hydrocarbons, the raw material physical data is mainly 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 physical property can be taked off-line or on-line analysis, and analyzing data can be directly or indirectly input client/server (C/S), 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 arranged 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 the object that cracked product of cracking furnace Maximum Value Optimized model is optimized, and the pyrolysis furnace production operation realizes operation optimization by regulating coil outlet temperature.Cracked product of cracking furnace Maximum Value Optimized model calculates pyrolysis furnace production cracking product price maximum corresponding COT and yield of cracked product according to cracking stock physical property, raw material inlet amount, dilution steam generation amount (dilution ratio), across section temperature (XOT), pyrolysis product pricing system.Required raw material inlet amount, dilution steam generation amount or the dilution ratio of cracked product of cracking furnace Maximum Value Optimized model, can directly or indirectly input client/server (C/S) by pyrolysis furnace Distributed Control System (DCS) (DCS) across section temperature (XOT), the pyrolysis product pricing system can directly be inputted client/server (C/S).Optimum results (coil outlet temperature) can directly or indirectly be inputted the pyrolysis furnace Distributed Control System (DCS) by client/server (C/S) and realize cracking furnace optimization control.For the coil outlet temperature after optimizing, within should being limited in the pyrolysis furnace normal operation range, otherwise too high meeting causes the pyrolysis furnace cycle of operation greatly to shorten.
The present invention relates to the assay method of cracking depth of cracking furnace.The 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 off-line stratographic analysis pyrolysis gas, to calculate cracking severity (propylene/ethylene or methane/propylene).
In pyrolysis furnace production operation process, after application cracked product of cracking furnace Maximum Value Optimized model was optimized calculating, the judgement of reply pyrolysis furnace running status saw whether the COT of pyrolysis furnace is in the Optimum Operation state range.The foundation of judgement is that the yield of cracked product of cracking furnace Optimized model is according to the absolute difference of the cracking severity of cracking stock physical property and pyrolysis furnace service data (raw material inlet amount, quantity of steam or dilution ratio, XOT) calculating and the cracking severity that pyrolysis furnace moves and the ratio of the cracking severity that model calculates.Optimize in the operation state range if ratio is in less than or equal to 10% pyrolysis furnace, do not need COT is not adjusted; If be in the unoptimizable running status greater than 10% pyrolysis furnace, need to adjust to COT ratio preferred 5%.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 too soon boiler tube inwall coke to peel off and stop up boiler tube because regulate the speed.If the COT of cracked product of cracking furnace Maximum Value seismic responses calculated exceeds the pyrolysis furnace normal operation range, 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 the steady control of pyrolysis furnace by the method, also can make the cracking value of the product of pyrolysis furnace production reach maximization, thereby improve the economic benefit of manufacturing enterprise.
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.Take the cracking product market price as foundation, set up the pyrolysis product pricing system, (as shown in table 1).CBL-III type pyrolysis furnace cracking stock is 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, on-line analysis naphtha physical property are installed 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 arranges 24 tons/hour, and water-oil factor is that 0.5, XOT is 600 ℃, and COT is 840 ℃.After 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, cracked product of cracking furnace Maximum Value Optimized model according to the raw material physical property 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, namely
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 ℃) input pyrolysis furnace Distributed Control System (DCS).After the pyrolysis furnace Distributed Control System (DCS) obtains server input ground instruction, with the heating rates of 15 ℃/hour, 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 the cracking furnace optimization On-line Control.
Table 2 is naphtha 2 physical datas.
Claims (12)
1. the on-line automatic control method of a production operation of industrial cracking furnace, its process comprises sets up cracking stock Physical Property Analysis, the calculating of pyrolysis furnace operation optimization, it is characterized in that, also comprise the pyrolysis product pricing system, set up cracked product of cracking furnace Maximum Value Optimized model, cracking severity is measured, the judgement of pyrolysis furnace running status, the pyrolysis furnace operation is online adjusts, and is further comprising the steps:
(1) set up pricing system: establish the price of every kind of pyrolysis product, the market price of the cracking product that the relative ethylene unit of the price of cracked product of cracking furnace is produced is identical, and not related pyrolysis product price is zero;
(2) modeling: set up cracked product of cracking furnace Maximum Value Optimized model, and it is arranged on client/server (C/S);
(3) feedstock analysis: analytical pyrolysis raw material physical property;
(4) optimize: in cracking stock Physical Property Analysis data and industrial pyrolysis furnace service data input cracked product of cracking furnace Maximum Value Optimized model, calculate pyrolysis furnace operating conditions and the yield of cracked product 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 judgement: the data of cracked product of cracking furnace Maximum Value seismic responses calculated cracking severity and operation are compared, judge whether the cracking operation is in the Optimal State scope, the judgement of pyrolysis furnace running status is with the absolute difference of the cracking severity of cracked product of cracking furnace Maximum Value seismic responses calculated and industrial pyrolysis furnace operation cracking severity and the cracking severity ratio that model calculates, and whether is in the Optimum Operation state range to judge the pyrolysis furnace operation; If the ratio that calculates is less than or equal to 10%, the pyrolysis furnace operation is in Optimal State; If be in the unoptimizable state greater than 10% pyrolysis furnace operation;
(7) adjust: if the pyrolysis furnace operation is in the Optimum Operation state range, not to pyrolysis furnace production operation adjust; If the pyrolysis furnace operation is not in the Optimal State scope, in the operating conditions input pyrolysis furnace Distributed Control System (DCS) (DCS system) after optimizing, realize the pyrolysis furnace on-line optimization is operated.
2. the on-line automatic control method of a kind of production operation of industrial cracking furnace according to claim 1, it is characterized in that: the cracking stock of described pyrolysis furnace is petroleum hydrocarbon, comprises lighter hydrocarbons, naphtha, diesel oil, hydrogenation tail oil.
3. the on-line automatic control method of a kind of production operation of industrial cracking furnace according to claim 1, it is characterized in that, the cracking stock physical property of analyzing is the parameter for cracked product of cracking furnace Maximum Value seismic responses calculated, 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 production operation of industrial cracking furnace according to claim 1, it is characterized in that, cracked product of cracking furnace Maximum Value Optimized model is take the cracked product of cracking furnace forecast model as the basis, physical property, pyrolysis furnace operation data, pyrolysis product price for cracking stock, in pyrolysis furnace operating conditions restriction range, adopt mathematical method to seek or calculate operating conditions and the yield of cracked product of pyrolysis product Maximum Value.
5. the on-line automatic control method of a kind of production operation of industrial cracking furnace according to claim 4, is characterized in that, described mathematical method comprises searching method.
6. the on-line automatic control method of a kind of production operation of industrial cracking furnace according to claim 4, it is characterized in that, described yield of cracked product of cracking furnace forecast model is the mathematical model of concluding by test figure or semiempirical half mechanism model or the mechanism model of deriving according to the cracking stock heat scission reaction, and this model can calculate yield of cracked product according to cracking physical property and pyrolysis furnace operating conditions.
7. the on-line automatic control method of a kind of production operation of industrial cracking furnace according to claim 4, it is characterized in that, described pyrolysis furnace service data is 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).
8. the on-line automatic control method of a kind of production operation of industrial cracking furnace according to claim 4, it is characterized in that, described cracked product of cracking furnace Maximum Value Optimized model calculates pyrolysis product and is worth coil outlet temperature (COT) and the corresponding yield of cracked product that reaches maximum correspondence according to raw material physical property, raw material inlet amount, dilution steam generation amount or dilution ratio, across section temperature (XOT).
9. the on-line automatic control method of a kind of production operation of industrial cracking furnace according to claim 1, is characterized in that, the cracking severity of described pyrolysis furnace is propylene/ethylene or methane/propene yield weight ratio.
10. the on-line automatic control method of a kind of production operation of industrial cracking furnace according to claim 1, is characterized in that, in described step (6), the optimum ratio of ratio is 5%.
11. the on-line automatic control method of a kind of production operation of industrial cracking furnace 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 Optimal State, the coil outlet temperature (COT) of pyrolysis furnace is not adjusted; If pyrolysis furnace is in the unoptimizable state, in coil outlet temperature (COT) the input pyrolysis furnace Distributed Control System (DCS) (DCS system) with the yield of cracked product of cracking furnace seismic responses calculated, thereby realize the control of pyrolysis furnace operation optimization.
12. the on-line automatic control method of a kind of production operation of industrial cracking furnace according to claim 10 is characterized in that, adjusting coil outlet temperature speed must not be higher than 15 ℃/hour.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201010204480 CN102289199B (en) | 2010-06-18 | 2010-06-18 | Automatic on-line control method for production and operation of industrial cracking furnace |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201010204480 CN102289199B (en) | 2010-06-18 | 2010-06-18 | Automatic on-line control method for production and operation of industrial cracking furnace |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN102289199A CN102289199A (en) | 2011-12-21 |
| CN102289199B true CN102289199B (en) | 2013-06-05 |
Family
ID=45335690
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN 201010204480 Active CN102289199B (en) | 2010-06-18 | 2010-06-18 | Automatic on-line control method for production and operation of industrial cracking furnace |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102289199B (en) |
Families Citing this family (4)
| 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 |
| 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 |
| CN113359441B (en) * | 2021-05-26 | 2022-09-09 | 东南大学溧阳研究院 | Uncertainty compensation based combustion chamber thermal acoustic oscillation model prediction control method |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101620414A (en) * | 2009-08-12 | 2010-01-06 | 华东理工大学 | Method for optimizing cracking depth of industrial ethane cracking furnace on line |
-
2010
- 2010-06-18 CN CN 201010204480 patent/CN102289199B/en active Active
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101620414A (en) * | 2009-08-12 | 2010-01-06 | 华东理工大学 | Method for optimizing cracking depth of industrial ethane cracking furnace on line |
Also Published As
| Publication number | Publication date |
|---|---|
| CN102289199A (en) | 2011-12-21 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103087750B (en) | Naphtha industrial cracking furnace value maximization model construction method | |
| CN103713604A (en) | Industrial cracking furnace real-time operation optimizing and controlling method based on data driving | |
| CN103524284A (en) | Forecasting and optimizing method for ethylene cracking material configuration | |
| CN100334047C (en) | Intelligent method for controlling cracking severity of cracking furnace in ethylene equipment | |
| CN102289199B (en) | Automatic on-line control method for production and operation of industrial cracking furnace | |
| CN102289198A (en) | Automatic online control method for production operation of industrial cracking furnace | |
| CN103289725B (en) | Energy-saving optimization control method of ethylene cracking furnace | |
| CN102053595A (en) | Method for controlling cracking depth of cracking furnace in ethylene device | |
| CN102213949A (en) | Method for optimizing value of ethylene device | |
| Ghashghaee et al. | Multivariable optimization of thermal cracking severity | |
| CN102289200B (en) | Automatic on-line control method for production operation of industrial cracking furnace | |
| CN101727609B (en) | Pyrolyzate yield forecasting method based on support vector machine | |
| CN102289201A (en) | Automatic on-line control method for production operation of industrial cracking furnace | |
| CN103087757B (en) | A kind of method realizing petrochemical enterprise petroleum chemicals Maximum Value | |
| CN103087751B (en) | A kind of construction method of industrial pyrolysis furnace value maximization model | |
| CN103087753B (en) | Heavy raw material industrial cracking furnace value maximization model construction method | |
| CN103093069B (en) | A kind of construction method of industrial pyrolysis furnace value maximization model | |
| CN103087752B (en) | Industrial cracking furnace cracking product value maximization model construction method | |
| Jiang et al. | A New Method for the Prediction of the Gasoline Yield of the MIP Process | |
| CN109988054B (en) | Preparation method of cracking raw material for ethylene production | |
| CN103087749B (en) | Construction method for value maximized model of cracked products of heavy raw material in industrial cracking furnace | |
| Heracleous et al. | Upgrading of biomass-derived liquids in a biorefinery context: Hydroisomerization and fluid catalytic cracking of heavy naphtha on bench and pilot scale | |
| CN103087756B (en) | A kind of method realizing olefin production enterprise maximum output value | |
| CN103087754B (en) | Industrial cracking furnace cracking product value maximization model construction method | |
| CN103087755B (en) | Industrial cracking furnace cracking product value maximization model construction method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |