System and method for managing ammonia decomposition facility

Abstract

The present disclosure relates to a system and method of managing an ammonia decomposition facility, the system according to the present disclosure comprising: a model generation module generating a digital twin model comprising a replicated model of physical components of the ammonia decomposition facility; the input module is used for inputting the dynamic energy demand quantity and the output information of an ammonia decomposition device included in the ammonia decomposition facility into the digital twinborn model; the emergency condition applying module is used for applying an emergency condition to the copy model of the physical component according to a preset emergency scheme; a data collection and comparison module which collects data from the digital twin model under the applied emergency condition and compares first data when the emergency condition is applied and second data when the emergency condition is not applied; and the scheme generation module is used for generating a control scheme for the preset emergency scheme based on a comparison result of the first data and the second data.

Description

Technical Field

[0001] The present disclosure relates to a system and method for managing an ammonia decomposition facility. Background Art

[0002] In recent years, as various environmental issues have become a major concern throughout the world, there is a growing demand for introducing environmentally friendly alternative energy sources to replace traditional internal combustion engines not only in ordinary vehicles but also in heavy equipment such as excavators. Therefore, fuel cell systems using fuel cells (FC) as power sources have attracted much attention as environmentally friendly alternative energy sources.

[0003] To ensure smooth operation and high performance of the fuel cell system, the role of the Energy Management System (EMS) in properly determining how to distribute power demand among power sources is very important, which requires the EMS to operate stably and reliably.

[0004] In the presence of multiple pipelines, when the flow is concentrated in a specific pipeline, it is necessary to equalize the flow by automatically reducing the flow of that pipeline. Existing methods have difficulty accounting for the complex interactions between different components of the system. To address this problem, digital twins (DT) are being studied to provide accurate real-time simulation of the entire physical system. Summary of the invention

[0005] 1. Technical issues to be resolved

[0006] According to one aspect of the present disclosure, a system and method for ensuring stable operation of an ammonia decomposition facility under emergency conditions may be provided.

[0007] (II) Technical solution

[0008] According to a system of one embodiment of the present disclosure, it may include: a model generation module, which generates a digital twin model, wherein the digital twin model includes a replica model of the physical components of the ammonia decomposition facility; an input module, which inputs dynamic energy demand and output information of the ammonia decomposition device included in the ammonia decomposition facility into the digital twin model; an emergency condition application module, which applies emergency conditions to the replica model of the physical components according to a preset emergency plan; a data collection and comparison module, which collects data from the digital twin model under the applied emergency conditions, and compares first data when the emergency conditions are applied and second data when the emergency conditions are not applied; and a plan generation module, which generates a control plan for the preset emergency plan based on the comparison result of the first data and the second data.

[0009] According to one embodiment, the physical components of the ammonia decomposition facility may include the ammonia decomposition device, sensors, and control devices, and the model generation module may update the digital twin model using real-time data of the ammonia decomposition facility.

[0010] According to one embodiment, the input module may compare a difference between the dynamic energy demand actually required by the digital twin model and an output amount of the output information of the ammonia decomposition facility.

[0011] According to one embodiment, the emergency condition application module can set up multiple virtual emergency situations in the digital twin model to deal with potential emergency situations, the emergency condition application module can evaluate the response and performance of the digital twin model under the set virtual emergency situations, and the emergency condition application module can predict the adjustments necessary to ensure the safety and stability of the ammonia decomposition facility.

[0012] According to one embodiment, the data collection and comparison module may identify the weaknesses of the system that may occur in various emergency situations and the vulnerability level of each of the replication models based on the data.

[0013] According to one embodiment, the solution generation module may generate a control solution for a potential emergency situation using the comparison result between the first data and the second data.

[0014] According to one embodiment, the digital twin model may include: a facility control unit corresponding to a replica model of the control device that controls the ammonia decomposition device; and a data collection unit that collects the real-time data.

[0015] According to one embodiment, the physical components of the ammonia decomposition facility may further include a feed blower, a flow regulating valve, and at least one reaction unit, and the sensor may include a temperature sensor and a pressure sensor.

[0016] According to one embodiment, the at least one reaction unit may include: a plurality of reaction parts receiving a flow rate of a feed for a reforming reaction and a flow rate of a feed for a combustion reaction; and a combustion part outputting combustion flue gas.

[0017] According to a method of one embodiment of the present disclosure, it may include: executing the step of generating a digital twin model of a replica model of a physical component of the ammonia decomposition facility; executing the step of inputting dynamic energy demand and output information of an ammonia decomposition device included in the ammonia decomposition facility into the digital twin model; executing the step of applying emergency conditions to the replica model of the physical component for a preset emergency scenario; executing the step of collecting data from the digital twin model under the applied emergency conditions; executing the step of comparing first data when the emergency conditions are applied and second data when the emergency conditions are not applied; and executing the step of generating a control solution for the preset emergency scenario based on the comparison result of the first data and the second data.

[0018] (III) Beneficial effects

[0019] According to one embodiment of the present disclosure, the stable operation of the ammonia decomposition facility under emergency conditions is ensured, thereby having the effect of improving the reliability of the system.

[0020] In addition, according to one embodiment of the present disclosure, the digital twin model is designed to closely simulate the operation of the facility under various conditions, thereby having real-time monitoring effect, analysis effect and optimization effect.

[0021] In addition, according to one embodiment of the present disclosure, an appropriate measure plan for dealing with a specific emergency situation is established in advance, thereby having the effect of ensuring the safety of the system.

[0022] In addition, according to an embodiment of the present disclosure, there is an effect of helping to identify potential areas for improvement, ultimately helping to improve the overall sustainability and cost efficiency of a facility. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 is a diagram for explaining a system according to an embodiment of the present disclosure.

[0024] Figure 2 is a relationship diagram between a facility and a digital twin model according to an embodiment of the present disclosure.

[0025] Figure 3 is a diagram for explaining a method according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0026] Hereinafter, the present disclosure will be described in detail with reference to the accompanying drawings. However, this is merely exemplary, and the present disclosure is not limited to the specific embodiments exemplarily described.

[0027] In the present disclosure, the same reference numerals refer to the same components. The present disclosure does not describe all the elements of each embodiment, and omits the general content in the technical field to which the present disclosure belongs or the content repeated between the embodiments. The terms "unit, module, component, block" used in the specification can be implemented by software or hardware. Depending on the embodiment, multiple "units, modules, components, blocks" can be implemented by a single component, or one "unit, module, component, block" can include multiple components.

[0028] Throughout the specification, when one part is referred to as being “connected” to another part, this includes not only the case of being directly connected but also the case of being indirectly connected including a connection through a wireless communication network.

[0029] In addition, when a portion is referred to as “comprising” a component, unless specifically described otherwise, it means that it can further include other components, rather than excluding other components.

[0030] Throughout the specification, when a member is described as being "on" another member, this includes not only a case where one member is in contact with the other member but also a case where other members are present between the two members.

[0031] The terms “first”, “second”, etc. are used to distinguish one component from another component, and the components are not limited by the above terms.

[0032] Unless the context clearly indicates otherwise, an expression in the singular includes an expression in the plural.

[0033] The identification symbols of each step are used for convenience of description, and the identification symbols do not describe the order of the steps. Unless a specific order is clearly stated in the context, the steps can be performed in an order different from the specified order.

[0034] In this specification, "the device according to the present disclosure" includes all kinds of devices that can perform computing and provide results to users. For example, the device according to the present disclosure may include a computer, a server device, and a portable terminal, or any one of them.

[0035] Here, the computer may include, for example, a notebook computer equipped with a web browser, a desktop computer, a laptop computer, a tablet PC, a touch-screen tablet PC, etc.

[0036] The server device is a server that processes information by communicating with external devices, and may include an application server, a computing server, a database server, a file server, a game server, a mail server, a proxy server, a network server, and the like.

[0037] Portable terminals are, for example, wireless communication devices that ensure portability and mobility, and may include all types of handheld wireless communication devices such as PCS (Personal Communication System), GSM (Global System for Mobile communications), PDC (Personal Digital Cellular), PHS (Personal Handyphone System), PDA (Personal Digital Assistant), IMT (International Mobile Telecommunication)-2000, CDMA (Code Division Multiple Access)-2000, W-CDMA (W-Code Division Multiple Access), WiBro (Wireless Broadband Internet), terminals, smart phones, and wearable devices such as watches, rings, bracelets, anklets, necklaces, glasses, contact lenses, or head-mounted devices (HMD).

[0038] Figure 1 is a diagram for explaining a system according to an embodiment of the present disclosure.

[0039] Reference Figure 1 The system 100 can manage an ammonia decomposition plant. The system 100 can include a physical plant 110, a model generation module 121, an input module 122, an emergency condition application module 123, a data collection and comparison module 124, a scenario generation module 125, and a digital twin model 130.

[0040] The physical facility 110 may be an ammonia decomposition facility. However, it is not limited thereto. The physical facility 110 as an ammonia decomposition facility may include an ammonia decomposition device 111, a control device 112 for controlling the ammonia decomposition device 111, a feed blower 113, a flow regulating valve 114, a reaction unit 115, a temperature sensor 116, a pressure sensor 117, etc. The temperature sensor 116 or the pressure sensor 117 may be referred to as a sensor.

[0041] The model generation module 121 may generate a digital twin model 130. The digital twin model 130 may include a replica model of a physical component of the physical facility 110. The physical component of the physical facility 110 may be, for example, a physical component of an ammonia decomposition facility. In this case, the physical components of the physical facility 110 may include an ammonia decomposition device 111, a control device 112, a feed blower 113, a flow regulating valve 114, a reaction unit 115, a temperature sensor 116, and a pressure sensor 117. The replica model included in the digital twin model 130 may include an ammonia decomposition device 131, a control device 132, a feed blower 133, a flow regulating valve 134, a reaction unit 135, a temperature sensor 136, and a pressure sensor 137.

[0042] The model generation module 121 can continuously update the digital twin model 130 using real-time data from the ammonia decomposition facility to perform more accurate and specific simulations and predictions.

[0043] The input module 122 may input the dynamic energy demand and the output information of the physical facility 110 to the digital twin model 130. For example, the input module 122 may input the dynamic energy demand to the digital twin model 130, and may input the output information of the ammonia decomposition device 111 included in the ammonia decomposition facility to the digital twin model 130.

[0044] The input module 122 may compare the difference between the dynamic energy demand actually required by the digital twin model 130 and the output of the output information of the ammonia decomposition facility.

[0045] The emergency condition imposing module 123 may impose an emergency condition on a replicated model of a physical component of the physical facility 110 for a preset emergency scenario.

[0046] The emergency condition application module 123 can set various different multiple virtual emergency situations in the digital twin model 130 to deal with potential emergency situations. In addition, the emergency condition application module 123 can evaluate the response and performance of the digital twin model 130 under the set virtual emergency situation. In addition, the emergency condition application module 123 can predict the adjustments necessary to ensure the safety and stability of the ammonia decomposition facility.

[0047] The data collection comparison module 124 can collect data from the digital twin model 130 under the applied emergency condition. In addition, the data collection comparison module 124 can compare the first data when the emergency condition is applied and the second data when the emergency condition is not applied. Comparison data including the result of comparing the first data and the second data can be generated.

[0048] The data collection comparison module 124 may identify weaknesses of the system 100 and the vulnerability level of each replication model that may occur in various emergency situations based on the data.

[0049] The scenario generation module 125 may generate a control scenario for a preset emergency scenario based on the comparison data.

[0050] The solution generation module 125 may generate control solutions for various potential emergency situations by using the comparison data between the first data and the second data.

[0051] As described above, the stable operation of the ammonia decomposition facility under emergency conditions is ensured, thereby having the effect of improving the reliability of the system.

[0052] Furthermore, as described above, the digital twin model is designed to closely simulate the operation of the facility under various multiple conditions, thereby having real-time monitoring effect, analysis effect, and optimization effect.

[0053] In addition, as described above, an appropriate scenario for dealing with a specific emergency situation is established in advance, thereby having the effect of ensuring the safety of the system.

[0054] Additionally, as noted above, this has the effect of helping to identify potential areas for improvement, ultimately helping to improve the overall sustainability and cost efficiency of the facility.

[0055] Figure 2 It is a relationship diagram between a facility-digital twin model (plant-Digital Twin Model) according to an embodiment of the present disclosure.

[0056] Reference Figure 2 , the relationship diagram 200 may include a dynamic load input (Dynamic Load input) 210, a digital twin model 220, a first reaction unit 230_1 to an Nth reaction unit 230_N, a first blower 241 and a second blower 242, a first control valve to a fourth control valve 251, 252, 253, 254 and a first information to a tenth information I1, I2, I3, I4, I5, I6, I7, I8, I9, I10.

[0057] The dynamic load input 210 may correspond to the dynamic energy demand described above. The dynamic load input 210 may be input to the digital twin model 220 .

[0058] The digital twin model 220 may include: a plant control unit 221 corresponding to a replica model of a control device controlling an ammonia decomposition device; and a data collection unit 222 for collecting real-time data. The data collection unit 222 may receive a dynamic load input 210 and first to tenth information I1, I2, I3, I4, I5, I6, I7, I8, I9, I10. The data collection unit 222 may receive a flow rate of a feed (Feed) for a reforming reaction and a flow rate of a feed for a combustion reaction provided through the first to fourth control valves 251, 252, 253, 254.

[0059] like Figure 2 As shown, the number of the first reaction unit 230_1 to the Nth reaction unit 230_N may be N. N may be an integer greater than 2. However, it is not limited thereto. The first reaction unit 230_1 may include a first reaction unit 231_1, a combustion unit 232_1, and a second reaction unit 233_1. The Nth reaction unit 230_N may include a first reaction unit 231_N, a combustion unit 232_N, and a second reaction unit 233_N. Multiple reaction units may receive a flow rate of a feed for a reforming reaction and a flow rate of a feed for a combustion reaction. The first reaction unit 231_1 may receive a reforming reaction feed. The first reaction unit 231_1 may output ninth information I9. The combustion unit 232_1 may receive a combustion reaction feed. The combustion unit 232_1 may output combustion flue gas (Flue Gas) and tenth information I10. The second reaction unit 233_1 may output sixth information I6 and a reforming reaction product (product). The first reaction unit 231_N may output seventh information I7. The combustion part 232_N may receive a combustion reaction feed, the combustion part 232_N may output combustion flue gas and eighth information I8, and the second reaction part 233_N may output fifth information I5 and a reforming reaction product.

[0060] The reforming reaction feed can be input to the first blower 241. The first blower 241 can provide the reforming reaction feed to the first control valve 251 and the third control valve 253. The combustion reaction feed can be input to the second blower 242. The combustion reaction feed can include fuel (Fuel) and air (Air). The second blower 242 can provide the combustion reaction feed to the second control valve 252 and the fourth control valve 254.

[0061] Figure 3 is a diagram for explaining a method according to an embodiment of the present disclosure. Figure 3 , a method according to an embodiment of the present disclosure may manage an ammonia decomposition facility.

[0062] A step (S100) of generating a digital twin model comprising a replicated model of physical components of the ammonia decomposition facility is performed.

[0063] Regarding step S100, refer to Figure 1 For example, the model generation module 121 generates a digital twin model 130, which includes a replica model of the physical components of the physical facility 110 (for example, the ammonia decomposition device 131, the control device 132, the feed blower 133, the flow control valve 134, the reaction unit 135, the temperature sensor 136, the pressure sensor 137, etc.), and the model generation module 121 can use the real-time data of the ammonia decomposition facility to continuously update the digital twin model 130 for more accurate and specific simulation and prediction.

[0064] A step ( S200 ) of inputting dynamic energy demand and output information of an ammonia decomposition device included in the ammonia decomposition facility into the digital twin model is performed.

[0065] Regarding step S200, refer to Figure 1 For example, the input module 122 can input dynamic energy demand into the digital twin model 130, and can input output information of the ammonia decomposition device 111 included in the ammonia decomposition facility into the digital twin model 130, and can compare the difference between the dynamic energy demand actually required by the digital twin model 130 and the output of the output information of the ammonia decomposition facility.

[0066] The step of applying emergency conditions to the replica model of the physical component for a preset emergency scenario is performed (S300).

[0067] Regarding step S300, refer to Figure 1 For example, the emergency condition application module 123 can set various virtual emergency situations in the digital twin model 130 to deal with potential emergency situations. In addition, the emergency condition application module 123 can evaluate the response and performance of the digital twin model 130 under the set virtual emergency situation. In addition, the emergency condition application module 123 can predict the adjustments necessary to ensure the safety and stability of the ammonia decomposition facility.

[0068] The step of collecting data from the digital twin model under the imposed emergency condition is performed ( S400 ).

[0069] The step of comparing first data when an emergency condition is applied and second data when an emergency condition is not applied (S500) is performed.

[0070] Regarding steps S400 and S500, refer to Figure 1For example, the data collection and comparison module 124 can collect data from the digital twin model 130 under applied emergency conditions, can compare first data when the emergency conditions are applied and second data when the emergency conditions are not applied, can generate comparison data including the results of comparing the first data and the second data, and can identify weaknesses of the system 100 that may occur in various emergency situations and the degree of vulnerability of each replica model.

[0071] A step (S600) of generating a control scheme for a preset emergency scheme based on the comparison data is performed.

[0072] Regarding step S600, refer to Figure 1 For example, the solution generation module 125 may generate a control solution for a preset emergency solution based on the comparison data, and may generate a control solution for various different potential emergency situations using the comparison data between the first data and the second data.

[0073] On the other hand, the disclosed embodiments may be implemented in the form of a recording medium storing instructions executable by a computer. The instructions may be stored in the form of program code, and when the instructions are executed by a processor, the operations of the disclosed embodiments may be performed by generating a program module. The recording medium may be implemented in the form of a computer-readable recording medium.

[0074] Computer-readable recording media include all types of recording media that store instructions that can be decoded by a computer, such as read-only memory (ROM), random access memory (RAM), magnetic tape, disk, flash memory, optical data storage device, etc.

[0075] The disclosed embodiments are described above with reference to the accompanying drawings. A person skilled in the art of the present disclosure will understand that the present disclosure may be implemented in a form different from the disclosed embodiments without changing the technical concept or essential features of the present disclosure. The disclosed embodiments are exemplary and should not be interpreted as limiting.

Claims

1. A system for managing an ammonia decomposition facility, the system comprising: a model generation module to generate a digital twin model, the digital twin model including a replica model of physical components of the ammonia decomposition facility; An input module, inputting dynamic energy demand and output information of an ammonia decomposition device included in the ammonia decomposition facility into the digital twin model; An emergency condition imposing module, for imposing emergency conditions on the replica model of the physical component according to a preset emergency plan; a data collection and comparison module, which collects data from the digital twin model under the emergency condition applied, and compares first data when the emergency condition is applied and second data when the emergency condition is not applied; as well as A solution generation module generates a control solution for the preset emergency solution based on a comparison result of the first data and the second data.

2. The system according to claim 1, wherein: The physical components of the ammonia decomposition facility include the ammonia decomposition device, sensors and control devices, The model generation module updates the digital twin model using real-time data of the ammonia decomposition facility.

3. The system according to claim 1, wherein: The input module compares a difference between the dynamic energy demand actually required by the digital twin model and an output of the output information of the ammonia decomposition facility.

4. The system according to claim 1, wherein: The emergency condition imposing module sets a plurality of virtual emergency situations in the digital twin model to deal with potential emergency situations. The emergency condition imposition module evaluates the response and performance of the digital twin model under the set virtual emergency condition, The emergency condition imposition module predicts adjustments necessary to ensure the safety and stability of the ammonia decomposition facility.

5. The system according to claim 1, wherein: The data collection and comparison module identifies the weaknesses of the system that may occur in various emergency situations and the vulnerability level of each of the replicated models based on the data.

6. The system according to claim 1, wherein: The solution generation module generates a control solution for a potential emergency situation by using the comparison result between the first data and the second data.

7. The system according to claim 2, wherein: The digital twin model includes: a facility control unit corresponding to a replica model of the control device that controls the ammonia decomposition device; and The data collection unit collects the real-time data.

8. The system according to claim 2, wherein: The physical components of the ammonia decomposition facility further include a feed blower, a flow regulating valve and at least one reaction unit, The sensors include a temperature sensor and a pressure sensor.

9. The system according to claim 8, wherein: The at least one reaction unit comprises: a plurality of reaction sections receiving a flow rate of a feed for a reforming reaction and a flow rate of a feed for a combustion reaction; and The combustion section outputs combustion flue gas.

10. A method of managing an ammonia decomposition facility, the method comprising: performing the step of generating a digital twin model comprising a replicated model of physical components of said ammonia decomposition facility; executing the step of inputting dynamic energy demand and output information of an ammonia decomposition device included in the ammonia decomposition facility into the digital twin model; executing the step of applying emergency conditions to the replica model of the physical component for a preset emergency scenario; performing the step of collecting data from the digital twin model under the applied emergency condition; performing the step of comparing the first data when the emergency condition is applied and the second data when the emergency condition is not applied; as well as A step of generating a control solution for the preset emergency solution based on a comparison result of the first data and the second data is performed.

Images