Optimization method and system for energy consumption in ship receiving process of LNG receiving station

Abstract

The embodiment of the invention provides an optimization method and system for energy consumption in the ship receiving process of an LNG receiving station, and the method comprises the steps: obtaining steady-state simulation data through a dynamic simulation model, initializing the dynamic simulation model, and obtaining an initialized dynamic simulation model; performing control operation on each controller in the initialized dynamic simulation model to obtain a dynamic stationary model; the dynamic stationary model establishes an objective function for deduction optimization in an integral mode based on the deduction operation sequence, and optimizes the deduction operation sequence to obtain an optimization result of the LNG receiving station to be processed.

Description

Technical Field

[0001] The embodiments of the present application belong to the technical field of economic benefit optimization of LNG receiving stations, and in particular, relate to a method and system for optimizing energy consumption in a ship receiving process of an LNG receiving station. Background Art

[0002] As an important hub connecting LNG carriers and land pipelines, the operating efficiency and safety of LNG receiving stations directly affect the stability and cost of natural gas supply. Since LNG receiving stations need to cope with the changing gas demand of downstream users over time, their working status also changes with the working conditions, especially when receiving ships for unloading. While ensuring external transmission, they also have to deal with the external input brought by LNG carriers, which will cause large fluctuations in BOG (evaporator), resulting in fluctuations in energy consumption and material waste. In order to effectively operate to achieve the lowest energy consumption and material loss, and ultimately the lowest economic cost, it is necessary to optimize the operating sequence of the LNG receiving station's ship receiving conditions.

[0003] In the prior art, although the steady-state online simulation and optimization process of the device can be realized, in the process of receiving and unloading ships at the LNG receiving station, it is impossible to realize dynamic deduction optimization based on online dynamic simulation and use the deduced and optimized operation sequence to guide actual factory production.

[0004] Based on this, a method for optimizing the energy consumption of the ship receiving process at an LNG receiving station is needed. Summary of the invention

[0005] The embodiments of this specification provide a method and system for optimizing energy consumption in the ship receiving process of an LNG receiving station to solve some or all of the problems: In the prior art, although the steady-state online simulation and optimization process of the device can be realized, in the ship receiving and unloading process of the LNG receiving station, it is impossible to realize dynamic deduction optimization based on online dynamic simulation, and use the deduced and optimized operation sequence to guide actual factory production.

[0006] To solve the above technical problems, the embodiments of this specification are implemented as follows:

[0007] The embodiment of this specification provides a method for optimizing energy consumption in a ship receiving process of an LNG receiving station, the optimization method comprising:

[0008] The dynamic simulation model acquires steady-state simulation data, initializes the dynamic simulation model, and obtains an initialized dynamic simulation model;

[0009] Performing control operations on each controller in the initialized dynamic simulation model to obtain a dynamic stable model;

[0010] The dynamic stable model establishes the objective function of deduction optimization in an integral manner based on the deduction operation sequence, optimizes the deduction operation sequence, and obtains the optimization result of the LNG receiving station to be processed.

[0011] The embodiment of this specification also provides an optimization system for energy consumption during the ship receiving process of an LNG receiving station, the optimization system comprising:

[0012] An initialization module, in which a dynamic simulation model acquires steady-state simulation data, initializes the dynamic simulation model, and obtains an initialized dynamic simulation model;

[0013] A dynamic stable model acquisition module controls each controller in the initialized dynamic simulation model to obtain a dynamic stable model;

[0014] The deduction optimization module, the dynamic stable model, establishes the objective function of deduction optimization in an integral manner based on the deduction operation sequence, optimizes the deduction operation sequence, and obtains the optimization result of the LNG receiving station to be processed.

[0015] At least one of the above-mentioned technical solutions adopted in the embodiments of this specification can achieve the following beneficial effects: the dynamic simulation model acquires steady-state simulation data, initializes the dynamic simulation model, and obtains an initialized dynamic simulation model; controls the various controllers in the initialized dynamic simulation model to obtain a dynamic stable model; the dynamic stable model, based on the deduction operation sequence, establishes the objective function of deduction optimization in an integral manner, optimizes the deduction operation sequence, and obtains the optimization result of the LNG receiving station to be processed, which can realize online and periodic optimization of the operation sequence of the device, and provide operational guidance for reducing the energy consumption of the ship receiving and unloading process of the LNG receiving station. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. Some specific embodiments of the present application will be described in detail in an illustrative and non-restrictive manner with reference to the drawings. The same reference numerals in the drawings indicate the same or similar components or parts. It should be understood by those skilled in the art that these drawings are not necessarily drawn to scale. In the drawings:

[0017] Figure 1 A flow chart of a method for optimizing energy consumption during a ship receiving process at an LNG receiving station provided in an embodiment of this specification;

[0018] Figure 2 A schematic diagram of a system for optimizing energy consumption during ship receiving at an LNG receiving station provided in an embodiment of this specification. DETAILED DESCRIPTION

[0019] In order to enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only embodiments of a part of the present application, not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the field without creative work should fall within the scope of protection of the present application.

[0020] The embodiment of this specification provides a method for optimizing the energy consumption of the ship receiving process of an LNG receiving station. Based on the online dynamic simulation technology, before the actual ship receiving and unloading work begins, the online simulation technology is used to introduce the real-time production data of the device into the dynamic simulation model to complete the matching of the model with the steady state. On the basis of the matching completion, the various operating conditions that may exist in the unloading process are automatically deduced by multivariate operation sequences, and finally the operation sequence with the lowest economic cost of energy consumption + material loss is obtained to guide the actual production.

[0021] Figure 1 The following is a flowchart of a method for optimizing the energy consumption of the ship receiving process at an LNG receiving station provided in an embodiment of this specification. From a program perspective, the execution subject of the method for optimizing the energy consumption of the ship receiving process at an LNG receiving station is a program installed on an application server or an application terminal. It can be understood that the method can be executed by any device, equipment, platform, or device cluster with computing and processing capabilities. Figure 1 As shown, the optimization method includes:

[0022] Step S101: The dynamic simulation model acquires steady-state simulation data, initializes the dynamic simulation model, and obtains an initialized dynamic simulation model.

[0023] In the embodiments of the present specification, the steady-state simulation data is obtained based on a steady-state simulation model, and there is a corresponding relationship between the model variables of the steady-state simulation model and the position numbers of the devices of the LNG receiving station to be processed.

[0024] The steady-state simulation model is obtained by collecting the design data and operation data of the device (such as PFD, P&ID diagram, operation history data, etc.) and establishing the steady-state simulation model of the device using process simulation software.

[0025] In the embodiments of this specification, the steady-state simulation data is obtained based on the steady-state simulation model, and specifically includes:

[0026] The steady-state simulation model obtains real-time operation data and laboratory analysis data of the LNG receiving station;

[0027] The acquired real-time operation data and laboratory analysis data are cleaned to remove invalid data and used as steady-state simulation data, which are used to be transmitted to the dynamic simulation model.

[0028] The data that needs to be obtained mainly include:

[0029] Real-time operation data: LNG temperature and pressure of incoming ship, storage tank temperature, pressure, liquid level, inlet pressure and outlet pressure of tank pump, flow rate, LNG inlet desuperheater flow rate, BOG compressor inlet pressure, outlet pressure and speed, BOG booster inlet pressure, outlet pressure and speed, recondenser pressure, liquid level and temperature, inlet pressure and outlet pressure of external pump, flow rate, inlet temperature and outlet temperature of ORV process side, flow rate, speed and flow rate of seawater pump, outlet temperature of SCV process side, and fuel gas temperature and flow rate of SCV.

[0030] Laboratory analysis data: mole fractions of methane, ethane, propane, isobutane, n-butane, isopentane, n-pentane and nitrogen.

[0031] The correspondence between the model variables of the steady-state simulation model and the position numbers of the devices of the LNG receiving station to be processed can be expressed in the form of a table, etc., as shown in Table 1 below.

[0032] Table 1 Schematic diagram of the correspondence between the model variables of the steady-state simulation model and the position number of the device to be processed at the LNG receiving station

[0033] Device location parameter Instrument number LNG Ship temperature T-1201 pressure P-1201 Storage tank temperature T-1202 pressure P-1202 Liquid level L-1201 In-tank pump Inlet pressure P-1301 Outlet pressure P-1302 flow Q-1301 LNG inlet desuperheater flow Q-1401 BOG compressor Inlet pressure P-1401 Outlet pressure P-1402 Speed n-1401 BOG Booster Inlet pressure P-1403 Outlet pressure P-1404 Speed n-1402 Recondenser pressure P-1501 Liquid level L-1501 temperature T-1501 External pump Inlet pressure P-1503 Outlet pressure P-1504 flow Q-1501 ORV process side Inlet temperature P-1503 Outlet temperature P-1504 flow Q-1502 Seawater pump Speed n-1502 flow Q-1505 SCV process side Outlet temperature T-1601 SCV fuel gas temperature T-1602 flow Q-1601

[0034] Since some instruments on the LNG unit to be processed have noise, the data they obtain are unreasonable. Through mathematical statistics, some unreasonable values ​​are eliminated and reasonable values ​​are selected as the process regulations of the model.

[0035] The formula for judging whether it is a reasonable value is as follows:

[0036]

[0037] x i is the measured value of variable i

[0038] is the process design value of variable i

[0039] The specific range of the preset range of reasonable values ​​can be determined according to the specific business scenario. In this specification, the preset range is 10% above and below the process design value of the variable corresponding to the data to be processed.

[0040] The steady-state simulation model of the device process is consistent with the actual data of the device, and the calculation results of the model can reflect the actual situation of the device.

[0041] The dynamic simulation model is based on the flow chart, equipment data sheet, control logic, interlocking logic and other information of the actual LNG receiving station to fully build the dynamic model of the LNG receiving station.

[0042] The specific construction method is: build a dynamic model of the device according to the device's flow chart, equipment data, control scheme, interlocking logic, etc. to establish the dynamic model of the device. The construction of the dynamic model can be divided into the following steps:

[0043] Material balance: According to the device flow chart, the incoming and outgoing materials, circulating materials and energy of the device are calculated to ensure the conservation of material energy in the dynamic model.

[0044] Model building: According to the specific process requirements and the equipment data sheet, the process flow is built using the corresponding dynamic modules. Commonly used dynamic modules include: streams, containers, pumps, compressors, expanders, turbines, motors, towers, heat exchangers, valves, pipelines, mixing branches, etc.

[0045] According to the control scheme of the device, control logic and interlocking logic are built on the process model. Commonly used control logic and interlocking logic include: PID controller, transmitter, selector, accumulator, AND gate, OR gate, NOT gate, trigger reset gate, etc.

[0046] The specific method of establishing the dynamic simulation model does not constitute a limitation of the present application and will not be elaborated here.

[0047] Continuing with the previous example, the dynamic simulation model is shown in Table 2 below.

[0048] Table 2 Dynamic simulation model parameters

[0049]

[0050] In the embodiment of this specification, the dynamic simulation model acquires steady-state simulation data, and the dynamic simulation model is initialized to obtain an initialized dynamic simulation model, which specifically includes:

[0051] The dynamic simulation model acquires steady-state simulation data, and is initialized using the steady-state simulation data as initial conditions and boundary conditions to obtain an initialized dynamic simulation model.

[0052] In the embodiments of this specification, the boundary conditions include: LNG composition, temperature, pressure, capacity and external LNG main pressure of the LNG ship;

[0053] The initial conditions include: setting parameters of key control points, flow rates and quality indicators of key products;

[0054] in,

[0055] The set parameters of the key control points include: storage tank liquid level, low-pressure pump output flow rate, recooler pressure, recooler liquid level, BOG compressor inlet pressure, BOG booster inlet pressure, cold insulation circulation flow rate, high-pressure pump external output flow rate, ORV process side outlet temperature, seawater pump flow rate, SCV process side outlet temperature, SCV fuel gas temperature and flow rate;

[0056] The flow rate of the key product includes: the output volume of LNG;

[0057] The quality index includes: the temperature of the output LNG.

[0058] Step S103: Perform control operations on each controller in the initialized dynamic simulation model to obtain a dynamic steady model.

[0059] In the embodiments of this specification, performing control operations on each controller in the initialized dynamic simulation model to obtain a dynamic steady model specifically includes:

[0060] Within one control cycle, determine the maximum value CON.PV of the controlled quantity corresponding to each controller in the initialized dynamic simulation model max and the minimum value CON.PV of the controlled quantity min ;

[0061] If ∑(CON.PV max - CON.PV min ) ≥ k, then it is in an unsteady state. Perform control operations on the parameters of each controller in the initialized dynamic simulation model, and update the maximum value and the minimum value of the controlled quantity until ∑(CON.PV max - CON.PV min ) < k to obtain the dynamic steady model;

[0062] Among them,

[0063] CON.PV max represents the maximum value of the controlled quantity corresponding to each controller in the initialized dynamic simulation model;

[0064] CON.PV min represents the minimum value of the controlled quantity corresponding to each controller in the initialized dynamic simulation model;

[0065] k represents the tolerance.

[0066] In the embodiments of this specification, the controlled quantities include: tank liquid level, low-pressure pump output flow, subcooler pressure, subcooler liquid level, BOG compressor inlet pressure, BOG booster inlet pressure, cold storage circulation flow, high-pressure pump output flow, ORV process side outlet temperature, seawater pump flow, SCV process side outlet temperature, SCV fuel gas temperature, and one or more parameters of the flow.

[0067] Step S105: The dynamic stable model establishes a deduction optimization objective function in an integral manner based on the deduction operation sequence, optimizes the deduction operation sequence, and obtains an optimization result of the LNG receiving station to be processed.

[0068] The simulated operation sequence is aimed at the ship receiving and unloading process of the LNG receiving station. According to the actual operation sequence on site, a reasonable and feasible simulated operation sequence is established, and the number of sequences is not limited.

[0069] In this embodiment, the deduction operation sequence can be established according to a specific business scenario, or it can be established after optimizing the business process.

[0070] In this embodiment, taking a deduction operation sequence as an example, the deduction operation sequence is shown in the following Table 3.

[0071] Table 3 Schematic diagram of deduction operation sequence

[0072]

[0073] Continuing with the previous example, the deduction operation sequence includes two, and the deduction operation sequence is shown in Table 4 and Table 5 below.

[0074] Table 4 Derivation of operation sequence scheme 1

[0075] Serial number Sequence Content 1 Within 24 hours, adjust the setting value of the LNG tank pressure controller to 110kpa; 2 Within 24 hours, adjust the LNG tank level controller setting value to 20% 3 Within 24 hours, adjust the BOG compressor inlet pressure controller setting to 105kpa; 4 Within 24 hours, adjust the recooler level controller setting to 20%; 5 When the LNG tank pressure reaches 110.5kPa, wait for 4 hours; 6 Started unloading at a rate of 168m3 / h; 7 Start the unloading timer; 8 When the unloading time exceeds 10 hours, adjust the setting value of the LNG tank pressure controller to 125kpa; 9 When the unloading time exceeds 10 hours, adjust the LNG tank level controller setting value to 35% 10 When the unloading time exceeds 10 hours, adjust the setting value of the BOG compressor inlet pressure controller to 120kpa; 11 When the unloading time exceeds 10 hours, adjust the setting value of the recooler liquid level controller to 35%; ... ...

[0076] Table 5 Derived operation sequence scheme 2

[0077] Serial number Sequence Content 1 Within 18 hours, adjust the setting value of the LNG tank pressure controller to 120kpa; 2 Within 18 hours, adjust the LNG tank level controller setting to 30% 3 Within 18 hours, adjust the BOG compressor inlet pressure controller setting to 115kpa; 4 Within 18 hours, adjust the recooler level controller setting to 30%; 5 When the LNG tank pressure reaches 120.5kPa, wait for 2 hours; 6 Started unloading at a rate of 188m3 / h; 7 Start the unloading timer; 8 When the unloading time exceeds 8 hours, adjust the setting value of the LNG tank pressure controller to 145kpa; 9 When the unloading time exceeds 8 hours, adjust the LNG tank level controller setting value to 45% 10 When the unloading time exceeds 8 hours, adjust the setting value of the BOG compressor inlet pressure controller to 140kpa; 11 When the unloading time exceeds 8 hours, adjust the setting value of the recooler liquid level controller to 45%; ... ...

[0078] In the embodiment of this specification, the expression of the objective function is: economic cost = electricity price * energy consumption + material loss * material unit price;

[0079] in,

[0080] The calculation formula of energy consumption E is:

[0081]

[0082] The calculation formula for material loss S is:

[0083]

[0084] in:

[0085] E is energy consumption;

[0086] S is material loss;

[0087] t1 is the time when the simulation starts;

[0088] t2 is the end time of the simulation;

[0089] p is the power of device i;

[0090] F is the flow loss flow;

[0091] n is the number of devices;

[0092] m is the number of streams.

[0093] In the embodiment of this specification, the objective function is also provided with constraints;

[0094] The constraints are: the tank liquid level is not less than 5%, and / or the tank pressure is not higher than 160 kPa, and / or the subcooler liquid level is not less than 10%, and / or the subcooler pressure is not higher than 350 kPa.

[0095] Continuing with the previous example, the power of equipment i is mainly the power of each pump and compressor. The flow loss F is mainly caused by overpressure relief. For the convenience of calculation, the calculation method of this part of the flow in this example is 1% of the BOG main pipe flow, that is, the read process simulation BOG main pipe flow multiplied by 1%.

[0096] In the embodiment of this specification, the dynamic stable model establishes the objective function of deduction optimization in an integral manner based on the deduction operation sequence, optimizes the deduction operation sequence, and obtains the optimization result of the LNG receiving station to be processed, which specifically includes:

[0097] The dynamic stable model, based on the deduction operation sequence, establishes the deduction optimization objective function in an integral manner to set Optimizing the deduced operation sequence to obtain an optimization result of the LNG receiving station to be processed;

[0098] in,

[0099] Sx represents the initial state of the LNG receiving station to be processed;

[0100] Ax represents the deduction operation sequence;

[0101] Tx represents different deduction optimization results.

[0102] Continuing with the previous example, in this embodiment, the initial state of the LNG receiving station to be processed is shown in Table 6.

[0103] Table 6 Initial status of the LNG receiving station to be processed

[0104] Working conditions Whether to unload NG output Whether to load LNG Composition 1 Unloading Minimum output No loading Lean solution

[0105] In this embodiment, different deduction and optimization results for LNG receiving stations are displayed in a table format.

[0106] Table 7 shows the deduction results

[0107] Deduction sequence Energy consumption (degrees) Material loss (Nm3) 1 8156 896 2 7563 885

[0108] Continuing with the previous example, the deduction results obtained in the above embodiment are shown in Table 8.

[0109] Table 8 Deduction results of operation sequence scheme 1 and operation sequence scheme 2

[0110] Deduction sequence Energy consumption (degrees) Material loss (Nm3) 1 8156 896 2 7563 885

[0111] Find the best among the deduced optimization results. According to the objective function (i.e., total economic cost) under different operating conditions, take the operation sequence with the lowest economic cost.

[0112] Deduction results:

[0113] If the energy consumption electricity price is 0.5 yuan / kWh, and the material loss price is 8 yuan / Nm3, the total economic cost calculation formula is: Economic cost = electricity price * energy consumption + material loss * material unit price

[0114] The total economic energy consumption of the two simulation sequences is calculated separately and is shown in Table 9 below.

[0115] Table 9: Schematic diagram of total economic energy consumption results

[0116] Deduction sequence Energy consumption (degrees) Material loss (Nm3) Total economic cost (yuan) 1 8156 896 11246 2 7563 885 10861.5

[0117] In the initial state of operating condition 1, the ship is unloaded, the NG output is at the minimum output, no loading is done, and the LNG is a lean liquid, the final economic cost of using the deduction sequence scheme is lower. For actual operation, please refer to the deduction sequence scheme 2 for operation.

[0118] The embodiment of the present specification provides a method for optimizing the energy consumption of the ship receiving process of an LNG receiving station. The dynamic simulation model acquires steady-state simulation data, initializes the dynamic simulation model, and obtains an initialized dynamic simulation model; controls each controller in the initialized dynamic simulation model to obtain a dynamic stable model; the dynamic stable model, based on the deduced operation sequence, establishes a deduced optimization objective function in an integral manner, optimizes the deduced operation sequence, and obtains the optimization result of the LNG receiving station to be processed. It is possible to optimize the operation sequence of the device online and periodically, and provide operational guidance for reducing the energy consumption of the ship receiving and unloading process of the LNG receiving station.

[0119] The foregoing embodiments of this specification provide a method for optimizing energy consumption during the ship receiving process of an LNG receiving station. Based on the same idea, the embodiments of this specification also provide a system for optimizing energy consumption during the ship receiving process of an LNG receiving station. Figure 2 This is a schematic diagram of a system for optimizing energy consumption during the ship receiving process of an LNG receiving station provided in an embodiment of this specification. Figure 2 As shown, the optimization system includes:

[0120] Initialization module 201, a dynamic simulation model acquires steady-state simulation data, initializes the dynamic simulation model, and obtains an initialized dynamic simulation model;

[0121] A dynamic stable model acquisition module 203 performs control operations on each controller in the initialized dynamic simulation model to obtain a dynamic stable model;

[0122] The deduction optimization module 205, the dynamic stable model, establishes the objective function of deduction optimization in an integral manner based on the deduction operation sequence, optimizes the deduction operation sequence, and obtains the optimization result of the LNG receiving station to be processed.

[0123] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for optimizing energy consumption during the ship receiving process at an LNG receiving station, characterized in that: The optimization method comprises: The dynamic simulation model acquires steady-state simulation data, initializes the dynamic simulation model, and obtains an initialized dynamic simulation model; Performing control operations on each controller in the initialized dynamic simulation model to obtain a dynamic stable model; The dynamic stable model establishes the objective function of deduction optimization in an integral manner based on the deduction operation sequence, optimizes the deduction operation sequence, and obtains the optimization result of the LNG receiving station to be processed.

2. The optimization method according to claim 1, characterized in that: The dynamic simulation model acquires steady-state simulation data, and initializes the dynamic simulation model to obtain an initialized dynamic simulation model, which specifically includes: The dynamic simulation model acquires steady-state simulation data, and is initialized using the steady-state simulation data as initial conditions and boundary conditions to obtain an initialized dynamic simulation model.

3. The optimization method according to claim 2, characterized in that: The boundary conditions include: LNG composition, temperature, pressure, capacity of the LNG ship and the pressure of the external LNG main pipe; The initial conditions include: setting parameters of key control points, flow rates and quality indicators of key products; in, The setting parameters of the key control points include: tank liquid level, low-pressure pump output flow, subcooler pressure, subcooler liquid level, BOG compressor inlet pressure, BOG booster inlet pressure, cold storage circulation flow, high-pressure pump output flow, ORV process side outlet temperature, seawater pump flow, SCV process side outlet temperature, SCV fuel gas temperature and flow; The flow rates of the key products include: the output volume of LNG; The quality index includes: the temperature of the output LNG.

4. The optimization method according to claim 1, characterized in that: Performing control operations on each controller in the initialized dynamic simulation model to obtain a dynamic stable model specifically includes: In a control cycle, the maximum value CON.PV of the controlled quantity corresponding to each controller in the initialized dynamic simulation model is determined. max and the minimum value of the controlled quantity CON.PV min ; If ∑(CON.PV max -CON.PV min ) ≥ k, it is in a non - stationary state. Control operations are performed on the parameters of each controller in the initialized dynamic simulation model, and the maximum value and minimum value of the controlled quantity are updated until ∑(CON.PV max -CON.PV min ) < k, and the dynamic stationary model is obtained; in, CON.PV max Represents the maximum value of the controlled quantity corresponding to each controller in the initialized dynamic simulation model; CON.PV min Indicates the minimum value of the controlled quantity corresponding to each controller in the initialized dynamic simulation model; k represents the tolerance.

5. The optimization method according to claim 4, characterized in that: The controlled quantities include: one or more parameters of: tank liquid level, low-pressure pump output flow, subcooler pressure, subcooler liquid level, BOG compressor inlet pressure, BOG booster inlet pressure, cold storage circulation flow, high-pressure pump output flow, ORV process side outlet temperature, seawater pump flow, SCV process side outlet temperature, SCV fuel gas temperature, and flow.

6. The optimization method according to claim 1, characterized in that: The expression of the objective function is: Economic cost = electricity price * energy consumption + material loss * material unit price; in, The calculation formula of energy consumption E is: The calculation formula for material loss S is: in: E is energy consumption; S is material loss; t1 is the time when the simulation starts; t2 is the end time of the simulation; p i is the power of device i; F i is the loss flow of stream i; n is the number of devices; m is the number of streams.

7. The optimization method according to claim 1, characterized in that: The objective function is also provided with constraints; The constraints are: the tank liquid level is not less than 5%, and / or the tank pressure is not higher than 160 kPa, and / or the subcooler liquid level is not less than 10%, and / or the subcooler pressure is not higher than 350 kPa.

8. The optimization method according to claim 1, characterized in that: The dynamic stable model establishes the objective function of deduction optimization in an integral manner based on the deduction operation sequence, optimizes the deduction operation sequence, and obtains the optimization result of the LNG receiving station to be processed, which specifically includes: The dynamic stable model, based on the deduction operation sequence, establishes the deduction optimization objective function in an integral manner to set Optimizing the deduced operation sequence to obtain an optimization result of the LNG receiving station to be processed; in, Sx represents the initial state of the LNG receiving station to be processed; Ax represents the deduction operation sequence; Tx represents the deduction optimization result.

9. The optimization method according to claim 1, characterized in that: The steady-state simulation data is obtained based on a steady-state simulation model, and there is a corresponding relationship between the model variables of the steady-state simulation model and the position numbers of the devices of the LNG receiving station to be processed.

10. An optimization system for energy consumption during the ship receiving process at an LNG receiving station, characterized in that: The optimization system comprises: An initialization module, in which a dynamic simulation model acquires steady-state simulation data, initializes the dynamic simulation model, and obtains an initialized dynamic simulation model; A dynamic stable model acquisition module controls each controller in the initialized dynamic simulation model to obtain a dynamic stable model; The deduction optimization module, the dynamic stable model, establishes the objective function of deduction optimization in an integral manner based on the deduction operation sequence, optimizes the deduction operation sequence, and obtains the optimization result of the LNG receiving station to be processed.

Images