CN212017305U - Low-temperature methanol washing advanced process control system and low-temperature methanol washing production system - Google Patents
Low-temperature methanol washing advanced process control system and low-temperature methanol washing production system Download PDFInfo
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- CN212017305U CN212017305U CN202020135559.6U CN202020135559U CN212017305U CN 212017305 U CN212017305 U CN 212017305U CN 202020135559 U CN202020135559 U CN 202020135559U CN 212017305 U CN212017305 U CN 212017305U
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Abstract
The utility model relates to a process control technical field is washed to low temperature methyl alcohol especially relates to a production system is washed to advance process control system and low temperature methyl alcohol to low temperature methyl alcohol. The low-temperature methanol washing advanced process control system comprises a DCS control device and an advanced control device; the advanced control device comprises an instant data memory, a model memory, a trend prediction arithmetic unit and an optimization control component which are mutually communicated and connected; the model memory stores washing tower model data and regeneration tower and water separation tower model data; the trend prediction arithmetic unit predicts the variation trend of the controllable variable; and the optimization control component calculates an optimal operation amount according to the change trend and a preset ideal value, and the DCS controller component adjusts the execution component according to the optimal operation amount. The low-temperature methanol washing production system comprises the low-temperature methanol washing advanced process control system, so that the fluctuation amplitude of controllable variables and methanol loss can be reduced, and the automation level and the stability are improved.
Description
Technical Field
The utility model relates to a process control technical field is washed to low temperature methyl alcohol especially relates to a production system is washed to advance process control system and low temperature methyl alcohol to low temperature methyl alcohol.
Background
In the related technology, the low-temperature methanol washing device realizes the automatic control of the low-temperature methanol washing through a DCS control system (distributed control system), and realizes the monitoring of the whole process of the low-temperature methanol washing through detection instruments such as temperature, pressure, flow, liquid level and components.
The low-temperature methanol washing device has a long production process, and has the condition of strong heat integration in the process, and simultaneously relates to more heat exchange and reaction processes, so the low-temperature methanol washing is a typical multivariable complex industrial process with constraint and strong coupling.
Because the control scheme of the DCS control system is usually conventional PID (proportional, integral and derivative) and cascade, i.e., a conventional single-input single-output control scheme, the DCS control system has been difficult to solve the problems of overall control and optimization of the process, and thus the problems of low automatic control utilization rate, large process parameter fluctuation, high methanol loss, high energy consumption, and the like of the low-temperature methanol washing device are caused.
SUMMERY OF THE UTILITY MODEL
A first object of the utility model is to provide an advance process control system is washed to low temperature methyl alcohol to solve the low temperature methyl alcohol of prior art low temperature methyl alcohol washing device sieve to a certain extent and wash the automatic control of device and throw the rate of utilization low, technological parameter undulant big, the methyl alcohol loss is many, the energy consumption problem on the high side.
A second object of the utility model is to provide a production system is washed to low temperature methyl alcohol to solve among the prior art low temperature methyl alcohol to wash the automatic control of device and throw the rate of utilization low, technological parameter fluctuation is big, the methyl alcohol loss is many, the energy consumption problem on the high side of production system is washed to low temperature methyl alcohol to a certain extent.
In order to achieve the above object, the present invention provides the following technical solutions;
based on the above purpose, the utility model provides an advanced process control system is washed to low temperature methyl alcohol for device is washed to low temperature methyl alcohol, device is washed to low temperature methyl alcohol includes methyl alcohol scrubbing tower, methyl alcohol regenerator, methyl alcohol water knockout tower and executive module, executive module set up in methyl alcohol scrubbing tower, methyl alcohol regenerator and methyl alcohol water knockout tower;
the low-temperature methanol washing advanced process control system comprises a DCS control device and an advanced control device, wherein the DCS control device comprises a sensor assembly and a DCS controller assembly which are in communication connection; the advanced control device comprises an instant data memory, a model memory, a trend prediction arithmetic unit and an optimization control component which are mutually communicated and connected; the model memory is internally stored with washing tower model data and regeneration tower and water separation tower model data;
the instant data memory and the optimization control component are in communication connection with the DCS controller component; the sensor assembly respectively acquires instant data of controllable variables of the methanol washing tower, the methanol regeneration tower and the methanol-water separation tower, and transmits and stores the instant data to the instant data memory; historical data are stored in the instant data memory;
the trend prediction arithmetic unit can predict the change trend of the controllable variable in a preset time period according to the washing tower model data, the regeneration tower and water separation tower model data, the instant data and the historical data;
the optimization control component can calculate an optimal operation amount for the execution component according to the change trend and a preset ideal value, and transmits the optimal operation amount to the DCS controller component;
and the DCS controller component adjusts the execution component according to the optimal operation amount so that the controllable variable works at the preset ideal value.
In any of the above technical solutions, optionally, the advanced control apparatus further includes a feedback corrector;
the feedback corrector is respectively in communication connection with the instant data memory, the model memory, the trend prediction arithmetic unit and the optimization control component;
and the feedback corrector corrects the washing tower model data and the regeneration tower and water separation tower model data according to the instant data and the change trend.
In any of the above solutions, optionally, the sensor assembly includes a first sensor assembly and a second sensor assembly;
the first sensor assembly is capable of acquiring first instant data of a first controllable variable of the methanol wash column and transmitting and storing the first instant data to the instant data storage;
the second sensor assembly can acquire second instant data of second controllable variables of the methanol regeneration tower and the methanol-water separation tower, and the second instant data is transmitted to and stored in the instant data storage.
In any of the above technical solutions, optionally, the optimization control component includes a washing column controller, a regeneration column and a water separation column controller;
the executing assembly comprises a first executing assembly arranged on the methanol washing tower and a second executing assembly arranged on the methanol regeneration tower and the methanol-water separating tower;
the trend prediction arithmetic unit can predict a first change trend of the first controllable variable in the preset time period according to the first instant data, the methanol washing tower model and the historical data; the scrub tower controller is capable of calculating a first optimal operation amount for the first execution component based on the first trend of change and the predetermined ideal value;
the trend prediction arithmetic unit can also predict a second change trend of the second controllable variable in the preset time period according to the second instant data, the regeneration tower and water separation tower model data and the historical data; the regeneration column and water separation column controller can calculate a second optimum operation amount for the second actuator from the second tendency of change and the predetermined ideal value.
In any of the above technical solutions, optionally, the first execution component includes a methanol-poor pump outlet flow regulating valve, a methanol chiller liquid level regulating valve, a methanol-poor cooler liquid level regulating valve, and a shift gas methanol inlet washing tower flow regulating valve;
the first sensor assembly includes a methanol wash column outlet CO2The device comprises a content detector, a methanol chiller outlet methanol temperature sensor and a lean methanol cooler outlet methanol temperature sensor;
the washing tower model data is control model data of a set quantity of the first actuator assembly to a detected quantity of the first sensor assembly.
In any of the above solutions, optionally, the second performing component includes an acid gas flow regulating valve, a methanol regenerator reboiler steam flow regulating valve, and a methanol regenerator to lean methanol flow regulating valve;
the second sensor component comprises a methanol regeneration tower top pressure sensor, a methanol regeneration tower top temperature sensor, a methanol regeneration tower bottom temperature, a methanol-water separation tower sensitive plate temperature sensor and a methanol-water separation tower bottom temperature sensor;
the regeneration tower and water separation tower model data is control model data of the set value of the second execution component to the detection value of the second sensor component.
In any of the above technical solutions, optionally, the DCS controller assembly further includes a DCS controller, an instruction input device, and a result display device;
the instruction input equipment and the result display equipment are both connected with the DCS controller; the instruction input equipment is used for inputting the threshold value of the operation amount and the threshold value of the controllable variable by an operator; and the result display equipment is used for monitoring data by operators.
In any of the above technical solutions, optionally, the low-temperature methanol washing advanced process control system further includes a first communication device, a second communication device, and an OPC server:
the DCS controller component is communicated with the OPC server through the first communication device, and the optimization control component is communicated with the OPC server through the second communication device.
Based on above-mentioned second purpose, the utility model provides a production system is washed to low temperature methyl alcohol includes that low temperature methyl alcohol washes the low temperature methyl alcohol that device and the aforesaid arbitrary technical scheme provided and washes advanced process control system.
Adopt above-mentioned technical scheme, the beneficial effects of the utility model are that:
the utility model provides an advance process control system is washed to low temperature methyl alcohol, including DCS controlling means and advanced controlling means. By establishing the washing tower model data and the regeneration tower and water separation tower model data, a more accurate simulation environment is provided for the trend prediction arithmetic unit to predict the change trend, so that the obtained change trend is more in accordance with the actual change rule, and the accuracy of prejudgment is improved. Furthermore, compared with the scheme that a control instruction is directly obtained through a DCS controller component, the optimal operation amount obtained by comparing the change trend with the preset ideal value can be more suitable for the multivariable, constrained and strongly coupled complexity of the low-temperature methanol washing device, the working state of the low-temperature methanol washing device can approach to the ideal state through automatic process control, the operation amount of operators can be effectively reduced, the manual operation intensity can be reduced, the automation level can be improved, and therefore the problems of process parameter fluctuation of the temperature, the liquid level of a flash tank, the flow and the like of each tower, the safety and the stability are improved, and the methanol loss and the cold loss are reduced.
The low-temperature methanol washing production system provided by the embodiment comprises the low-temperature methanol washing advanced process control system, so that all the beneficial effects realized by the low-temperature methanol washing advanced process control system can be realized.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the technical solutions in the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a schematic diagram of a process flow of a methanol rectification apparatus of a low-temperature methanol wash advanced process control system according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a low-temperature methanol washing advanced process control system according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an optimal control assembly of the low-temperature methanol washing advanced process control system according to an embodiment of the present invention.
Icon: 1-a DCS control device; 2-advanced control means; 20-instant data storage; 21-a model memory; 22-a trend prediction operator; 23-optimizing the control assembly; 230-a scrubber controller; 231-regenerator and water separation column controller; 24-a feedback corrector; a 30-methanol wash column; 31-a carbon dioxide desorption column; 32-H2S, a concentration tower; 33-methanol regeneration column; 34-methanol-water separation column; 35-a carbon dioxide water washing tower; 36-a refrigeration system; 4-OPC server.
Detailed Description
The technical solution of the present invention will be described clearly and completely with reference to the accompanying drawings, and obviously, the described embodiments are some, but not all embodiments of the present invention. Based on the embodiments in the present invention, all other embodiments obtained by a person skilled in the art without creative work belong to the protection scope of the present invention.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplification of description, but do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it is to be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Example one
The low-temperature methanol washing advanced process control system provided by the embodiment is used for a low-temperature methanol washing device.
Referring to fig. 1 to 3, in the low-temperature methanol washing advanced process control system provided in this embodiment, the low-temperature methanol washing apparatus includes a methanol washing tower 30, a methanol regeneration tower 33, a methanol-water separation tower 34, and an execution module, and the execution module is disposed on the methanol washing tower 30, the methanol regeneration tower 33, and the methanol-water separation tower 34.
Specifically, referring to fig. 1, the operating principle of the low-temperature methanol washing device is as follows:
the raw material gas a enters the bottom of the methanol washing tower 30 after being pre-cooled, and the low-temperature methanol-poor solution b entering from the top of the methanol washing tower 30 gradually absorbs the raw material gas a in the methanol washing tower 30 so as to remove carbon dioxide and H in the raw material gas a2And S. Finally, the purified gas e with the sulfur content of less than 0.1ppm and the carbon dioxide content of about 3% is output from the top of the methanol washing tower 30, and is sent to a downstream device after heat exchange and cold recovery by a plurality of heat exchangers.
Methanol b depleted in absorbing carbon dioxide and H in methanol wash column 302And the S is changed into rich methanol c, and the rich methanol c coming out of each section of liquid collecting tank of the methanol washing tower 30 is cooled by an ammonia cooler and then sent to a carbon dioxide analysis tower 31 for flash evaporation so as to remove carbon dioxide and other dissolved gases.
Methanol rich in the effluent carbon dioxide stripping column 31c is further cooled by an ammonia cooler and then enters H2 S concentration column 32 where a portion of the methanol rich c is in H2The S concentration tower 32 is depressurized and flashed to obtain relatively pure carbon dioxide f, and the other part of the rich methanol c is in H2And (3) depressurizing and flashing in the S concentration tower 32, stripping most of carbon dioxide f through N2, recycling cold energy, then feeding the carbon dioxide into a carbon dioxide washing tower 35, recycling entrained methanol, and releasing the carbon dioxide f into the air.
From H2The rich methanol c from the bottom of the S concentration tower 32 is subjected to heat exchange to recover cold energy, then is conveyed to a methanol regeneration tower 33 by a pump, is heated to a temperature above 95 ℃ in the methanol regeneration tower 33, releases all the gas absorbed in the rich methanol c to become pure poor methanol b, is cooled by the cold energy provided by a refrigeration system 36 to become low-temperature poor methanol b, and then is sent back to the methanol washing tower 30 to continuously absorb the acid gas in the raw material gas.
In the methanol regeneration tower 33, all absorbed gases are removed from the rich methanol c, but the water in the rich methanol c cannot be effectively removed, so that a small part of the methanol in the methanol regeneration tower 33 is conveyed to the methanol-water separation tower 34 for rectification, most of the water in the rich methanol c is removed to obtain wastewater g which is conveyed to a water treatment system, and then the wastewater g is returned to the methanol regeneration tower 33 again in the form of methanol steam d for reuse.
Referring to fig. 2, the low-temperature methanol washing advanced process control system comprises a DCS control device 1 and an advanced control device 2, wherein the DCS control device 1 comprises a sensor assembly and a DCS controller assembly which are in communication connection; the advanced control apparatus 2 comprises an immediate data storage 20, a model storage 21, a trend prediction operator 22 and an optimization control component 23, which are communicatively connected to each other.
The model memory 21 stores the washing column model data and the regeneration column and water separation column model data. The washing tower model data is model data of a multi-input multi-output mode obtained by taking the methanol washing tower 30 as a modeling object, and can more accurately simulate the working mechanism in the methanol washing tower 30, and similarly, the regeneration tower and water separation tower model data is model data of a multi-input multi-output mode obtained by taking the methanol regeneration tower 33, the methanol water separation tower 34 and the modeling object, so that the working mechanism in the methanol regeneration tower 33 and the methanol water separation tower 34 is more accurately simulated, and the working mechanism of the low-temperature methanol washing process is more accurately simulated.
Both the instant data store 20 and the optimization control component 23 are communicatively coupled to the DCS controller component. It should be noted that the communication connection means that two connected components can transmit electric signals therebetween, and specifically, the communication connection can be through wired communication or wireless communication.
The sensor assembly respectively acquires instant data of controllable variables of the methanol washing tower 30, the methanol regeneration tower 33 and the methanol-water separation tower 34, and transmits and stores the instant data to the instant data memory 20; the instant data store 20 stores historical data. It will be appreciated that the instant data obtained, transferred and stored in the instant data store 20 at the previous time becomes historical data for the next time. The controllable variables of the methanol washing column 30, the methanol regeneration column 33, and the methanol-water separation column 34 refer to values corresponding to control targets such as temperature, pressure, flow rate, and liquid level.
The trend prediction arithmetic unit 22 can predict the change trend of the controllable variable in a preset time period according to the washing tower model data, the regeneration tower and water separation tower model data, the instant data and the historical data; the optimization control component 23 can calculate an optimal operation amount for the execution component according to the variation trend and a preset ideal value, and transmit the optimal operation amount to the DCS controller component; and the DCS controller component adjusts the execution component according to the optimal operation quantity so that the controllable variable works at a preset ideal value.
Specifically, in combination with process and equipment constraints, the optimization control component 23 can perform operations according to the numerical ranges of the controlled variables and the manipulated variables, thereby maximizing economic benefits. The DCS controller assembly is typically self-contained with the low temperature methanol wash so that there is no need to redevelop or introduce a DCS controller assembly.
That is, by establishing the washing tower model data and the regeneration tower and water separation tower model data, a more accurate simulation environment is provided for the trend prediction arithmetic unit 22 to predict the variation trend, so that the obtained variation trend is more in accordance with the actual variation rule, and the accuracy of prediction is improved. Furthermore, compared with the scheme that a control instruction is directly obtained through a DCS controller component, the optimal operation amount obtained by comparing the change trend with the preset ideal value can be more suitable for the multivariable, constrained and strongly coupled complexity of the low-temperature methanol washing device, the working state of the low-temperature methanol washing device can approach to the ideal state through automatic process control, the operation amount of operators can be effectively reduced, the manual operation intensity can be reduced, the automation level can be improved, and therefore the problems of process parameter fluctuation of the temperature, the liquid level of a flash tank, the flow and the like of each tower, the safety and the stability are improved, and the methanol loss and the cold loss are reduced.
Specifically, the low-temperature methanol washing advanced process control system realizes automatic adaptation of the flow rate of the raw material gas and pressure fluctuation of a medium-low pressure steam pipe network, reduces manual intervention and realizes full-automatic control; the fluctuation range of key process parameters such as the temperature of each tower, the liquid level of the flash tank, the flow and the like can be reduced by 48.53 percent, and the running stability and the running safety of the low-temperature methanol washing device are greatly improved; realizes the control of the clamping edge, and can recover more H through the pressure optimization at the top of the methanol regeneration tower 332S about 540Nm3And h, the sulfur yield is improved, the steam consumption is reduced by about 7.2%, the methanol loss carried by gas is reduced, the cold loss of the ice machine refrigerating system 36 is reduced, and the economic benefit is greatly increased.
Alternatively, the advanced control apparatus 2 runs on a rack-dedicated server or a tower-dedicated server. The dedicated server is an APC server.
In an alternative of this embodiment, the advanced control device 2 further comprises a feedback corrector 24; the feedback corrector 24 is communicatively connected to the immediate data store 20, the model store 21, the trend prediction operator 22 and the optimization control component 23, respectively. The feedback corrector 24 corrects the model data of the wash column and the model data of the regeneration column and the water separation column based on the instantaneous data and the variation tendency.
By continuously correcting the model data of the washing column and the model data of the regeneration column and the water separation column, it is possible to prevent the model data from being mismatched or the operation amount calculated by the advanced control apparatus 2 from being excessively deviated from the ideal state due to the environmental disturbance.
Optionally, the real-time data storage 20 is used to store real-time data from the DCS control device 1 during operation of the advanced control device 2 and all relevant information of the trend prediction operator 22, the feedback corrector 24 and the optimization control component 23 to facilitate system debugging or problem analysis. All relevant information includes process data, operational records, modification records, fault and error diagnostic records, and the like.
In an alternative of this embodiment, the sensor assembly includes a first sensor assembly and a second sensor assembly.
The first sensor assembly is capable of acquiring first instantaneous data of a first controllable variable of the methanol wash column 30 and transmitting and storing the first instantaneous data to the instantaneous data storage 20. The second sensor assembly is capable of acquiring second real-time data of the second controllable variable of the methanol regeneration tower 33 and the methanol-water separation tower 34, and transmitting and storing the second real-time data to the real-time data storage 20.
That is, the first sensor assembly and the second sensor assembly respectively detect the methanol washing tower 30, the methanol regeneration tower 33 and the methanol water separation tower 34 to monitor the operating states of the methanol washing tower 30, the methanol regeneration tower 33 and the methanol water separation tower 34.
In an alternative to this embodiment, and as shown in FIG. 3, the optimization control module 23 includes a scrub column controller 230 and a regeneration column and water separation column controller 231.
The executing components comprise a first executing component arranged on the methanol washing tower 30 and a second executing component arranged on the methanol regenerating tower 33 and the methanol-water separating tower 34. That is, the methanol washing column 30, the methanol regeneration column 33, and the methanol-water separation column 34 are adjusted by the first actuator and the second actuator, respectively.
The trend prediction arithmetic unit 22 can predict a first change trend of the first controllable variable in a preset time period according to the first instant data, the washing tower model data and the historical data; the scrub tower controller 230 can calculate a first optimum operation amount for the first execution component based on the first variation tendency and a predetermined ideal value. Thereby ensuring that the first controllable variable of the methanol washing tower 30 works at a preset ideal value, i.e. the working state of the methanol washing tower 30 reaches an ideal state.
The trend prediction arithmetic unit 22 can also predict a second change trend of the second controllable variable in the preset time period according to the second instant data, the regeneration tower and water separation tower model data and the historical data; the regeneration tower and water separation tower controller 231 can calculate the second optimum operation amount for the second execution block from the second tendency of change and the predetermined ideal value. Thereby ensuring that the second controllable variables of the methanol regeneration tower 33 and the methanol-water separation tower 34 work at preset ideal values, namely the working states of the methanol regeneration tower 33 and the methanol-water separation tower 34 reach ideal states.
Therefore, by using the washing column controller 230, the regeneration column and water separation column controller 231, the first actuator, the second actuator, the first sensor, and the second sensor in combination, the optimal control capability of the optimal control module 23 can be further improved to further optimize parameters such as the lean methanol flow rate, the pressure of the methanol regeneration column 33, the temperatures of the methanol regeneration column 33 and the methanol-water separation column 34, the still steam flow rate, and the ammonia cooler liquid levels.
Optionally, the optimization control component 23 is a rolling optimization control component, which can take into account the influence caused by model mismatch or environmental disturbance and can make up for in time, thereby making the automatic control more accurate. The rolling optimization control component is a control component which calculates the optimal operation amount in each control period, so that the controllable variable is closest to the preset ideal value in the preset time period.
Optionally, the optimal calculation period of the rolling optimization control component is 30 seconds.
In an alternative aspect of this embodiment, the first actuating assembly includes a methanol-lean pump outlet flow control valve, a methanol chiller liquid level control valve, a methanol-lean cooler liquid level control valve, and a shift gas methanol wash column flow control valve.
First sensor Assembly PackageMethanol washing tower outlet CO2A content detector, a methanol chiller outlet methanol temperature sensor and a lean methanol cooler outlet methanol temperature sensor.
The washing tower model data is control model data of a set quantity of the first actuator assembly to a detected quantity of the first sensor assembly.
That is, the controllable variables specifically include methanol scrubber outlet CO2Content, methanol chiller outlet methanol temperature, and lean methanol cooler outlet methanol temperature.
Specifically, the scrubber model data includes: the set value of the outlet flow of the poor methanol pump to the outlet CO of the methanol washing tower2Content control model and set value of outlet flow of methanol-poor pump for CO at outlet of methanol washing tower2Content control model, opening degree of liquid level regulating valve of methanol chiller on outlet CO of methanol washing tower2Content control model, opening degree of liquid level regulating valve of poor methanol chiller on outlet CO of methanol washing tower2The control model of the content, the control model of the opening of the methanol chiller liquid level regulating valve to the methanol chiller outlet methanol temperature and the control model of the opening of the poor methanol cooler liquid level regulating valve to the poor methanol chiller outlet methanol temperature. That is to say, the washing tower model data is used for constructing the multi-input multi-output control model, so that the actual working mechanism of the methanol washing tower 30 can be more appropriately determined, and the variation trend of the methanol washing tower 30 can be more accurately simulated.
Optionally, the scrubber model data comprises a set point for the flow of the shifted gas into the scrubber for the methanol scrubber outlet CO2Interference model of content.
In order to simulate the interference of the shift gas on the methanol washing tower 30, the interference model of the methanol washing tower 30 is constructed, so as to further improve the simulation precision of the model data of the washing tower, and be beneficial to reducing the fluctuation of the controllable variable, so that the methanol washing tower 30 operates in the optimized interval.
In an alternative to this embodiment, the second performing component comprises an acid gas flow regulating valve, a methanol regenerator 33 reboiler steam flow regulating valve, and a methanol regenerator to lean methanol flow regulating valve.
The second sensor assembly comprises a methanol regeneration tower top pressure sensor, a methanol regeneration tower top temperature sensor, a methanol regeneration tower bottom temperature, a methanol-water separation tower sensitive plate temperature sensor and a methanol-water separation tower bottom temperature sensor.
The regeneration tower and water separation tower model data is control model data of the set value of the second execution component to the detection value of the second sensor component.
That is, the controllable variables also include methanol regeneration tower top pressure, methanol regeneration tower top temperature, methanol regeneration tower bottom temperature, methanol-water separation tower sensitive plate temperature, and methanol-water separation tower bottom temperature.
Specifically, the regeneration column and water separation column model data includes: the control model of the opening of the acid gas flow regulating valve on the top pressure of the methanol regeneration tower, the control model of the set value of the steam flow of the reboiler of the methanol regeneration tower on the top temperature of the methanol regeneration tower, the control model of the set value of the steam flow of the reboiler of the methanol regeneration tower on the bottom temperature of the methanol regeneration tower, the control model of the set value of the poor methanol flow of the methanol regeneration tower on the temperature of a sensitive plate of the methanol-water separation tower, the control model of the set value of the poor methanol flow of the methanol regeneration tower on the bottom temperature of the methanol-water separation tower, the control model of the set value of the steam flow of the reboiler of the methanol regeneration tower on the temperature of a sensitive plate of the methanol-water separation tower and the control model of the set value of the steam flow of. That is to say, the multi-input multi-output control model is constructed by using the model data of the regeneration tower and the water separation tower, so that the actual working mechanism of the methanol regeneration tower and the methanol-water separation tower can be more closely simulated, and the change trend of the methanol regeneration tower 33 and the methanol-water separation tower 34 can be more accurately simulated.
Optionally, the regeneration column and water separation column model data comprises: the method comprises the following steps of (1) an interference model of an actual value of low-pressure steam pipe network pressure to the top temperature of the methanol regeneration tower, an interference model of an actual value of low-pressure steam pipe network pressure to the bottom temperature of the methanol regeneration tower, an interference model of an actual value of medium-pressure steam pipe network pressure to the temperature of a sensitive plate of the methanol water separation tower and an interference model of an actual value of medium-pressure steam pipe network pressure to the bottom temperature of the methanol water separation tower.
It is worth explaining that the washing tower model data and the regeneration tower and water separation tower model data can be obtained by performing model identification according to data obtained by performing step test on the low-temperature methanol washing device.
In an optional solution of this embodiment, the DCS controller assembly further includes a DCS controller, an instruction input device, and a result display device; the instruction input equipment and the result display equipment are both connected with the DCS controller; the instruction input equipment is used for inputting a threshold value of an operation amount and a threshold value of a controllable variable by an operator; the result display device is used for monitoring data by operators.
Optionally, the DCS controller component further includes a logic control circuit that employs a communication handshake logic, a controller switching logic, a loop switching logic, an out-of-limit logic, or a card limit alarm logic, and the logic control circuit is connected between the DCS controller and the optimization controller.
In an alternative of this embodiment, the low-temperature methanol washing advanced process control system further comprises a first communication device, a second communication device and an OPC server 4; the DCS control device 1 communicates with the OPC server 4 through a first communication means, and the optimization control module 23 communicates with the OPC server 4 through a second communication means.
The operator can set the threshold values and the predetermined desired values of the controlled variables and the actuator assembly in the dedicated operation interface of the DCS control device 1 and send the cutting or commissioning instruction to the optimization control assembly 23. After receiving the commissioning command, the advanced control device 2 first updates the real-time data of each controllable variable, and then performs further calculation and control work.
Optionally, the first communication device and the second communication device are network cards that communicate in a wired manner, so that the OPC server 4 can communicate with the DCS control device 1 and the optimization control component 23 respectively through ethernet.
Alternatively, the OPC server 4 may be provided separately or may be reused after the engineer station or the operator station of the DCS control device 1 activates the OPC service authorization.
In an alternative embodiment, the low-temperature methanol washing advanced process control system further comprises a system configuration loaded with OPC server addresses, operation information, input/output point configurations, various file paths, control parameter configurations, and optimization parameter configurations required for the operation of the optimization control component 23.
Example two
The second embodiment provides a low-temperature methanol washing production system, the embodiment includes the low-temperature methanol washing advanced process control system in the first embodiment, technical features of the low-temperature methanol washing advanced process control system disclosed in the first embodiment are also applicable to the embodiment, and technical features of the low-temperature methanol washing advanced process control system disclosed in the first embodiment are not described repeatedly.
Referring to fig. 1 to 3, the low temperature methanol washing production system provided in this embodiment includes a low temperature methanol washing apparatus and a low temperature methanol washing advanced process control system as in the first embodiment.
The low-temperature methanol washing production system in the embodiment has the advantages of the low-temperature methanol washing advanced process control system in the first embodiment, and the advantages of the low-temperature methanol washing advanced process control system disclosed in the first embodiment are not described repeatedly herein.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; although the present invention has been described in detail with reference to the foregoing embodiments, it should be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the present invention. Furthermore, those skilled in the art will appreciate that while some embodiments described herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, any of the claimed embodiments may be used in any combination. The information disclosed in this background section is only for enhancement of understanding of the general background of the invention and should not be taken as an acknowledgement or any form of suggestion that this information constitutes prior art already known to a person skilled in the art.
Claims (9)
1. A low-temperature methanol washing advanced process control system is used for a low-temperature methanol washing device and is characterized in that the low-temperature methanol washing device comprises a methanol washing tower, a methanol regeneration tower, a methanol-water separation tower and execution components, wherein the execution components are arranged on the methanol washing tower, the methanol regeneration tower and the methanol-water separation tower;
the low-temperature methanol washing advanced process control system comprises a DCS control device and an advanced control device, wherein the DCS control device comprises a sensor assembly and a DCS controller assembly which are in communication connection; the advanced control device comprises an instant data memory, a model memory, a trend prediction arithmetic unit and an optimization control component which are mutually communicated and connected; the model memory is internally stored with washing tower model data and regeneration tower and water separation tower model data;
the instant data memory and the optimization control component are in communication connection with the DCS controller component; the sensor assembly respectively acquires instant data of controllable variables of the methanol washing tower, the methanol regeneration tower and the methanol-water separation tower, and transmits and stores the instant data to the instant data memory; historical data are stored in the instant data memory;
the trend prediction arithmetic unit can predict the change trend of the controllable variable in a preset time period according to the washing tower model data, the regeneration tower and water separation tower model data, the instant data and the historical data;
the optimization control component can calculate an optimal operation amount for the execution component according to the change trend and a preset ideal value, and transmits the optimal operation amount to the DCS controller component;
and the DCS controller component adjusts the execution component according to the optimal operation amount so that the controllable variable works at the preset ideal value.
2. The low temperature methanol wash advanced process control system of claim 1 wherein the advanced control means further comprises a feedback corrector;
the feedback corrector is respectively in communication connection with the instant data memory, the model memory, the trend prediction arithmetic unit and the optimization control component;
and the feedback corrector corrects the washing tower model data and the regeneration tower and water separation tower model data according to the instant data and the change trend.
3. The low temperature methanol wash advanced process control system of claim 1,
the sensor assembly comprises a first sensor assembly and a second sensor assembly;
the first sensor assembly is capable of acquiring first instant data of a first controllable variable of the methanol wash column and transmitting and storing the first instant data to the instant data storage;
the second sensor assembly can acquire second instant data of second controllable variables of the methanol regeneration tower and the methanol-water separation tower, and the second instant data is transmitted to and stored in the instant data storage.
4. The low temperature methanol wash advanced process control system of claim 3,
the optimization control assembly comprises a washing tower controller, a regeneration tower and a water separation tower controller;
the executing assembly comprises a first executing assembly arranged on the methanol washing tower and a second executing assembly arranged on the methanol regeneration tower and the methanol-water separating tower;
the trend prediction arithmetic unit can predict a first change trend of the first controllable variable in the preset time period according to the first instant data, the washing tower model data and the historical data; the scrub tower controller is capable of calculating a first optimal operation amount for the first execution component based on the first trend of change and the predetermined ideal value;
the trend prediction arithmetic unit can also predict a second change trend of the second controllable variable in the preset time period according to the second instant data, the regeneration tower and water separation tower model data and the historical data; the regeneration column and water separation column controller can calculate a second optimum operation amount for the second actuator from the second tendency of change and the predetermined ideal value.
5. The low temperature methanol wash advanced process control system of claim 4,
the first execution component comprises a poor methanol pump outlet flow regulating valve, a methanol chiller liquid level regulating valve, a poor methanol cooler liquid level regulating valve and a shift gas methanol inlet washing tower flow regulating valve;
the first sensor assembly includes a methanol wash column outlet CO2The device comprises a content detector, a methanol chiller outlet methanol temperature sensor and a lean methanol cooler outlet methanol temperature sensor;
the washing tower model data is control model data of a set quantity of the first actuator assembly to a detected quantity of the first sensor assembly.
6. The low temperature methanol wash advanced process control system of claim 4,
the second execution assembly comprises an acid gas flow regulating valve, a methanol regeneration tower reboiler steam flow regulating valve and a methanol regeneration tower lean methanol flow regulating valve;
the second sensor component comprises a methanol regeneration tower top pressure sensor, a methanol regeneration tower top temperature sensor, a methanol regeneration tower bottom temperature, a methanol-water separation tower sensitive plate temperature sensor and a methanol-water separation tower bottom temperature sensor;
the regeneration tower and water separation tower model data is control model data of the set value of the second execution component to the detection value of the second sensor component.
7. The low temperature methanol wash advanced process control system of claim 1, wherein the DCS controller assembly further comprises a DCS controller, a command input device, and a result display device;
the instruction input equipment and the result display equipment are both connected with the DCS controller; the instruction input equipment is used for inputting the threshold value of the operation amount and the threshold value of the controllable variable by an operator;
and the result display equipment is used for monitoring data by operators.
8. The system of claim 1, further comprising a first communication device, a second communication device, and an OPC server:
the DCS controller component is communicated with the OPC server through the first communication device, and the optimization control component is communicated with the OPC server through the second communication device.
9. A low temperature methanol wash production system comprising a low temperature methanol wash apparatus and a low temperature methanol wash advanced process control system as claimed in any one of claims 1 to 8.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114471088A (en) * | 2021-12-30 | 2022-05-13 | 浙江中控技术股份有限公司 | Low-temperature methanol washing process CO2Concentration control method and system |
| CN117323786A (en) * | 2023-11-10 | 2024-01-02 | 连云港中星能源有限公司 | Device for supplementing methanol for low-temperature methanol washing system |
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2020
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114471088A (en) * | 2021-12-30 | 2022-05-13 | 浙江中控技术股份有限公司 | Low-temperature methanol washing process CO2Concentration control method and system |
| CN114471088B (en) * | 2021-12-30 | 2023-01-10 | 浙江中控技术股份有限公司 | Low-temperature methanol washing process CO 2 Concentration control method and system |
| CN117323786A (en) * | 2023-11-10 | 2024-01-02 | 连云港中星能源有限公司 | Device for supplementing methanol for low-temperature methanol washing system |
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