Method, system and equipment for improving energy efficiency of gasification unit of LNG receiving station and medium

Abstract

The invention relates to the technical field of liquefied natural gas, and discloses an LNG receiving station gasification unit energy efficiency improving method, system, equipment and medium. According to historical equipment operation data and historical energy consumption data of key equipment, an LNG receiving station gasification unit key equipment energy consumption prediction model of each piece of key equipment in an LNG receiving station gasification unit is constructed; correcting a total LNG receiving station gasification unit key equipment energy consumption prediction model including the LNG receiving station gasification unit key equipment energy consumption prediction models of all key equipment by using historical operation data and historical energy efficiency index data of the LNG receiving station gasification unit, and then constructing an LNG receiving station gasification unit energy efficiency optimization model; according to the energy efficiency optimization model of the LNG receiving station gasification unit, accurate matching operation among key equipment of the LNG receiving station gasification unit can be realized by utilizing the optimization target of the highest energy efficiency of the LNG receiving station gasification unit.

Description

Technical Field

[0001] The present invention relates to the technical field of liquefied natural gas, and in particular to a method, system, equipment and medium for improving the energy efficiency of a gasification unit of an LNG receiving station. Background Art

[0002] With the continuous increase in domestic demand for energy, the rapidly developing LNG receiving stations receive and unload a large amount of imported LNG every year, effectively reducing my country's dependence on traditional energy sources such as oil and coal. The gasification unit is an important part of the LNG receiving station. Its function is to gasify liquefied natural gas to meet the requirements of pipeline transmission. There are mainly the following types of vaporizers: open-rack vaporizer (ORV), intermediate fluid vaporizer (IFV) and submerged combustion vaporizer (SCV). IFV and ORV are widely used, and the main energy consumption for operation is seawater pumps. In areas with good seawater quality, ORV with compact structure, relatively low initial investment and operation and maintenance costs is usually preferred. The main energy consumption of SCV comes from fuel gas, and also includes energy consumption of fuel gas electric heater, combustion-supporting fan, cooling water pump and water bath heater. The operating cost is close to 10 times that of ORV, and is mostly used for emergency peak regulation and winter when the seawater temperature is too low.

[0003] In order to reduce the cost of external transmission and improve the energy efficiency of the gasification unit, there is a real need to maximize the use of ORV or IFV and reduce the application of SCV to achieve the matching operation of two different types of gasifiers. To provide an optimized operation plan for the LNG receiving station, we should first systematically master the energy consumption and economy of SCV processing unit natural gas under different external transmission conditions, as well as the gasification capacity, energy consumption and economy of ORV or IFV under different seawater temperatures. The difficulty of this work lies in the lack of continuous monitoring and data analysis of the operating performance and efficiency of individual equipment on site, and the matching operation of the gasifier should not only master the actual operating performance of each equipment on site under historical conditions based on historical data, but also be able to predict the actual gasification capacity of ORV or IFV at low seawater temperature. The gasification capacity of ORV or IFV is lower than the LNG gasification capacity at the design seawater temperature. There are occasional operating data of the corresponding working conditions on site, but they lack systematicity and the operating time is generally short, and it is impossible to provide gasification capacity, energy consumption and economy data under multiple working conditions for a long time. At the same time, the matching operation of multiple seawater pumps and multiple ORV / IFV under different external transmission volumes is also an important factor affecting the energy consumption of the gasifier. Therefore, the study on the matching operation of two different types of gasifiers requires that the operating performance of the equipment as well as the start-up and load distribution be simultaneously incorporated into the optimization strategy, which is difficult to achieve using classical mathematical analysis methods.

[0004] Therefore, there is an urgent need for a method, system, equipment and medium for improving the energy efficiency of the gasification unit of an LNG receiving station. Summary of the invention

[0005] The present invention provides a method, system, equipment and medium for improving the energy efficiency of a gasification unit of an LNG receiving station, so as to solve the defect that it is difficult to achieve matching operation between key equipment of the gasification unit of the LNG receiving station to improve the energy efficiency of the gasification unit of the LNG receiving station.

[0006] The present invention provides a method for improving the energy efficiency of a gasification unit of an LNG receiving station, comprising:

[0007] Obtain the historical equipment operation data and historical energy consumption data of key equipment of the LNG receiving station gasification unit, the historical operation data and historical energy efficiency index data of the LNG receiving station gasification unit, and the actual operation data of the LNG receiving station gasification unit;

[0008] Based on the historical equipment operation data and historical energy consumption data of the key equipment of the gasification unit of the LNG receiving station, an energy consumption prediction model for the key equipment of the gasification unit of the LNG receiving station is constructed;

[0009] According to the historical operation data and historical energy efficiency index data of the LNG receiving station gasification unit, the energy consumption prediction model of the key equipment of the LNG receiving station gasification unit is corrected, and the energy efficiency optimization model of the LNG receiving station gasification unit is constructed;

[0010] According to the actual operation data of the gasification unit of the LNG receiving station, the energy efficiency optimization plan of the gasification unit of the LNG receiving station is obtained through the energy efficiency optimization model of the gasification unit of the LNG receiving station and the optimization target.

[0011] Furthermore, the method for improving energy efficiency of the gasification unit of the LNG receiving station also includes: optimizing the matching operation of key equipment of the gasification unit of the LNG receiving station by utilizing the obtained energy efficiency optimization scheme of the gasification unit of the LNG receiving station.

[0012] In one embodiment, the key equipment of the gasification unit of the LNG receiving station includes any one of the following or any combination thereof: an open-frame gasifier, an intermediate medium gasifier, a submerged combustion gasifier, and a seawater pump.

[0013] In one embodiment, the historical equipment operation data of the key equipment of the gasification unit of the LNG receiving station includes any one of the following items or any combination thereof: exported natural gas data, seawater pump data, ORV / IFV data, and SCV data; wherein the exported natural gas data includes the composition, flow rate, and export pressure of the exported natural gas; the seawater pump data includes the seawater inlet temperature, inlet and outlet pressures, and flow rate of the seawater pump; the ORV / IFV data includes the temperature, pressure, and flow rate of the LNG inlet of the ORV and / or IFV and the temperature and pressure of the NG outlet; the SCV data includes the temperature, pressure, and flow rate of the LNG inlet of the SCV and the temperature and pressure of the NG outlet, as well as the inlet pressure, temperature, and flow rate of the fuel gas.

[0014] In one embodiment, the historical energy consumption data of key equipment of the gasification unit of the LNG receiving station includes any one of the following or any combination thereof: electricity consumption, fuel gas consumption, and water consumption.

[0015] In one embodiment, the historical operation data of the gasification unit of the LNG receiving station includes any one of the following items or any combination thereof: exported natural gas data, seawater pump data, ORV / IFV data, and SCV data; wherein the exported natural gas data includes the composition, flow rate, and export pressure of the exported natural gas; the seawater pump data includes the seawater inlet temperature, inlet and outlet pressures, and flow rate of the seawater pump; the ORV / IFV data includes the temperature, pressure, and flow rate of the LNG inlet of the ORV and / or IFV and the temperature and pressure of the NG outlet; the SCV data includes the temperature, pressure, and flow rate of the LNG inlet of the SCV and the temperature and pressure of the NG outlet, as well as the inlet pressure, temperature, and flow rate of the fuel gas.

[0016] In one embodiment, the historical energy efficiency index data of the gasification unit of the LNG receiving station includes: the comprehensive energy consumption per unit of natural gas transported and / or the comprehensive energy consumption during the operation period.

[0017] In one embodiment, the energy consumption prediction model for key equipment of the gasification unit of the LNG receiving station is constructed based on the historical equipment operation data and historical energy consumption data of the key equipment of the gasification unit of the LNG receiving station, including:

[0018] According to the historical equipment operation data and historical energy consumption data of the jth key equipment of the gasification unit of the LNG receiving station, and using the working principle of the jth key equipment of the gasification unit of the LNG receiving station, a key equipment energy consumption prediction model of the first LNG receiving station gasification unit of the jth key equipment is constructed, wherein the key equipment energy consumption prediction model of the first LNG receiving station gasification unit is a mechanism model;

[0019] Based on the historical equipment operation data and historical energy consumption data of the jth key equipment of the gasification unit of the LNG receiving station, an energy consumption prediction model for the key equipment of the gasification unit of the second LNG receiving station of the jth key equipment is constructed by using artificial intelligence algorithm;

[0020] The first LNG receiving station gasification unit key equipment energy consumption prediction model and the second LNG receiving station gasification unit key equipment energy consumption prediction model of the jth key equipment in the LNG receiving station gasification unit are integrated to obtain the LNG receiving station gasification unit key equipment energy consumption prediction model for the jth key equipment, and then the LNG receiving station gasification unit key equipment energy consumption prediction model for all key equipment in the LNG receiving station gasification unit is obtained.

[0021] In one embodiment, the method of correcting the energy consumption prediction model of key equipment of the gasification unit of the LNG receiving station according to the historical operation data and historical energy efficiency index data of the gasification unit of the LNG receiving station, and constructing the energy efficiency optimization model of the gasification unit of the LNG receiving station includes:

[0022] The energy consumption prediction model of the key equipment of the LNG receiving station gasification unit is integrated with all the key equipment in the LNG receiving station gasification unit to obtain the energy consumption prediction model of the key equipment of the total LNG receiving station gasification unit;

[0023] Using the historical operation data and historical energy efficiency index data of the LNG receiving station gasification unit, calibrate the energy consumption prediction model of key equipment of the total LNG receiving station gasification unit;

[0024] The optimization objectives are set for the energy consumption prediction model of key equipment in the gasification unit of the total LNG receiving station, and the energy efficiency optimization model of the gasification unit of the LNG receiving station is obtained.

[0025] In one embodiment, the expression of the optimization objective is:

[0026]

[0027] In the expression of the optimization objective, E represents the energy efficiency index data of the gasification unit of the LNG receiving station, μ j Takes 0 or 1, when μ j When it is 0, it means that the jth key equipment in the gasification unit of the LNG receiving station is shut down. j When it is 1, it means that the jth key equipment in the gasification unit of the LNG receiving station is running, M ij represents the flow rate of the jth key equipment in the gasification unit of the LNG receiving station at time i, E ij Indicates M ij The objective function represents the energy consumption of the j-th key equipment at time i, which is obtained by the key equipment energy consumption prediction model of the j-th key equipment.

[0028] The present invention also provides an energy efficiency improvement system for a gasification unit of an LNG receiving station, comprising:

[0029] The data acquisition module is used to obtain the historical equipment operation data and historical energy consumption data of the key equipment of the LNG receiving station gasification unit, the historical operation data and historical energy efficiency index data of the LNG receiving station gasification unit, and the actual operation data of the LNG receiving station gasification unit;

[0030] The first construction module is used to: construct an energy consumption prediction model for key equipment of the gasification unit of the LNG receiving station based on historical equipment operation data and historical energy consumption data of key equipment of the gasification unit of the LNG receiving station;

[0031] The second construction module is used to: calibrate the energy consumption prediction model of key equipment of the LNG receiving station gasification unit according to the historical operation data and historical energy efficiency index data of the LNG receiving station gasification unit, and construct the energy efficiency optimization model of the LNG receiving station gasification unit;

[0032] The optimization module is used to obtain the energy efficiency optimization plan of the gasification unit of the LNG receiving station according to the actual operation data of the gasification unit of the LNG receiving station, through the energy efficiency optimization model of the gasification unit of the LNG receiving station, and using the optimization target.

[0033] The present invention also provides an electronic device, comprising a processor and a memory storing a computer program, wherein the processor implements any of the above-mentioned methods for improving the energy efficiency of a gasification unit of an LNG receiving station when executing the computer program.

[0034] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the method for improving the energy efficiency of a gasification unit of an LNG receiving station described above is implemented.

[0035] The present invention also provides a computer program product, which includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute any of the above-mentioned methods for improving the energy efficiency of a gasification unit of an LNG receiving station.

[0036] The present invention provides a method, system, equipment and medium for improving the energy efficiency of a gasification unit of an LNG receiving station. First, an LNG receiving station gasification unit key equipment energy consumption prediction model of each key equipment in the LNG receiving station gasification unit is constructed according to the historical equipment operation data and historical energy consumption data of the key equipment. Then, the historical operation data and historical energy efficiency index data of the LNG receiving station gasification unit are used to correct the total LNG receiving station gasification unit key equipment energy consumption prediction model including the LNG receiving station gasification unit key equipment energy consumption prediction model of all key equipment. Then, an LNG receiving station gasification unit energy efficiency optimization model is constructed. The LNG receiving station gasification unit energy efficiency optimization model uses the optimization target of the highest energy efficiency of the LNG receiving station gasification unit to determine the start-up and shutdown combinations and load distribution plans of key equipment under different working conditions, thereby realizing energy consumption optimization of the LNG receiving station gasification unit and providing reliable data support for the system operation of the LNG receiving station. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0038] Figure 1 A schematic flow chart of a method for improving energy efficiency of a gasification unit of an LNG receiving station provided by the present invention.

[0039] Figure 2 This is a schematic diagram of the training effect of the energy consumption prediction model for key equipment in the gasification unit of the second LNG receiving station.

[0040] Figure 3 A structural schematic diagram of an energy efficiency improvement system for a gasification unit of an LNG receiving station provided by the present invention.

[0041] Figure 4 This is a schematic structural diagram of an electronic device provided by the present invention. DETAILED DESCRIPTION

[0042] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings in the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments, and they should not be understood as limitations on the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. In the description of the present invention, it should be understood that the terms used are only for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0043] Combine the following Figure 1-Figure 4 The present invention describes the method, system, device and medium for improving the energy efficiency of the gasification unit of the LNG receiving station. It should be noted that the execution subject of the method for improving the energy efficiency of the gasification unit of the LNG receiving station provided by the present invention can be any network-side device / terminal-side device that meets the technical requirements, such as an energy efficiency improvement device for the gasification unit of the LNG receiving station.

[0044] Figure 1 The figure is a schematic diagram of the process of improving the energy efficiency of the gasification unit of the LNG receiving station provided by the present invention. Figure 1 The present invention provides a method for improving the energy efficiency of a gasification unit of an LNG receiving station, which may include:

[0045] Step S110, obtaining historical equipment operation data and historical energy consumption data of key equipment of the LNG receiving station gasification unit, historical operation data and historical energy efficiency index data of the LNG receiving station gasification unit, and actual operation data of the LNG receiving station gasification unit.

[0046] In this embodiment, the key equipment of the gasification unit of the LNG receiving station includes any one of the following or any combination thereof: an open rack gasifier ORV, an intermediate medium gasifier IFV, a submerged combustion gasifier SCV, and a seawater pump.

[0047] The historical equipment operation data of the key equipment of the gasification unit of the LNG receiving station includes any one of the following items or any combination thereof: exported natural gas data, seawater pump data, ORV / IFV data, and SCV data; among which, the exported natural gas data includes the composition, flow rate, and export pressure of the exported natural gas; the seawater pump data includes the seawater inlet temperature, inlet and outlet pressures and flow rate of the seawater pump; the ORV / IFV data includes the temperature, pressure and flow rate of the LNG inlet of the ORV and / or IFV and the temperature and pressure of the NG outlet; the SCV data includes the temperature, pressure and flow rate of the LNG inlet of the SCV and the temperature and pressure of the NG outlet, as well as the inlet pressure, temperature and flow rate of the fuel gas.

[0048] The historical energy consumption data of key equipment of the gasification unit of the LNG receiving station includes any one of the following or any combination thereof: electricity consumption, fuel gas consumption, and water consumption.

[0049] The historical operation data of the gasification unit of the LNG receiving station includes any one of the following items or any combination thereof: exported natural gas data, seawater pump data, ORV / IFV data, and SCV data; among which, the exported natural gas data includes the composition, flow rate, and export pressure of the exported natural gas; the seawater pump data includes the seawater inlet temperature, inlet and outlet pressures, and flow rate of the seawater pump; the ORV / IFV data includes the temperature, pressure, and flow rate of the LNG inlet of the ORV and / or IFV, and the temperature and pressure of the NG outlet; the SCV data includes the temperature, pressure, and flow rate of the LNG inlet of the SCV, the temperature and pressure of the NG outlet, and the inlet pressure, temperature, and flow rate of the fuel gas.

[0050] The historical energy efficiency index data of the gasification unit of the LNG receiving station include: comprehensive energy consumption per unit of exported natural gas and / or comprehensive energy consumption during the operating period.

[0051] Step S120: construct an energy consumption prediction model for key equipment of the gasification unit of the LNG receiving station based on historical equipment operation data and historical energy consumption data of key equipment of the gasification unit of the LNG receiving station.

[0052] In one embodiment, step S120 may include:

[0053] According to the historical equipment operation data and historical energy consumption data of the jth key equipment of the gasification unit of the LNG receiving station, and using the working principle of the jth key equipment of the gasification unit of the LNG receiving station, a key equipment energy consumption prediction model of the first LNG receiving station gasification unit of the jth key equipment is constructed, wherein the key equipment energy consumption prediction model of the first LNG receiving station gasification unit is a mechanism model;

[0054] According to the historical equipment operation data and historical energy consumption data of the jth key equipment of the gasification unit of the LNG receiving station, an energy consumption prediction model of the key equipment of the second LNG receiving station gasification unit of the jth key equipment is constructed by using an artificial intelligence algorithm. In this embodiment, a GA-BP neural network is used to construct an energy consumption prediction model of the key equipment of the second LNG receiving station gasification unit. The training effect is as follows: Figure 2 As shown;

[0055] The first LNG receiving station gasification unit key equipment energy consumption prediction model of the jth key equipment of the LNG receiving station gasification unit and the second LNG receiving station gasification unit key equipment energy consumption prediction model are integrated, that is, the mechanism model and the neural network model are integrated to obtain the LNG receiving station gasification unit key equipment energy consumption prediction model of the jth key equipment;

[0056] According to the above steps, the energy consumption prediction model of key equipment of the LNG receiving station gasification unit of all key equipment in the LNG receiving station gasification unit can be obtained.

[0057] This embodiment takes the vaporizer as an example to describe the process of establishing the energy consumption prediction model of the key equipment of the gasification unit of the LNG receiving station: first, according to the structural size of the vaporizer, the flow heat transfer correlation of the appropriate heat exchange medium is selected, and the heat transfer mechanism model of the vaporizer (i.e., the first LNG receiving station gasification unit key equipment energy consumption prediction model) is established according to the flow, heat transfer and energy equations; then, based on the heat transfer mechanism model, using historical equipment operation data and historical energy consumption data, through artificial intelligence algorithms, a neural network model of the vaporizer (i.e., the second LNG receiving station gasification unit key equipment energy consumption prediction model) is constructed. The LNG and seawater inlet flow, pressure and temperature are input into the model, and the heat exchange amount, LNG and seawater outlet temperature and pressure can be calculated.

[0058] In addition, because the actual heat transfer performance of vaporizers of the same manufacturer, model and batch is different during operation, it is necessary to use particle swarm or other methods to fit the necessary correction parameters such as the correction coefficient of the heat transfer correlation of the heat transfer mechanism model or the correction coefficient of the heat transfer amount according to the historical equipment operation data and historical energy consumption data of each vaporizer to reflect the differences of each device. Therefore, the energy consumption prediction model of the key equipment of the LNG receiving station gasification unit of the built vaporizer is a hybrid model that integrates the mechanism model, historical equipment operation data and historical energy consumption data correction. The establishment of the mechanism model is to ensure the reliability and extension of the energy consumption prediction model of the key equipment of the LNG receiving station gasification unit. For the vaporizer, in order to improve and tap the energy-saving space, it is necessary to calculate the heat transfer performance under the small seawater flow rate when the seawater inlet temperature is high and the historical operation data is lacking. The energy consumption prediction model of the key equipment of the LNG receiving station gasification unit can also be used to compare the performance differences of the same type of equipment, which is the basis for energy consumption optimization, that is, each operation selects equipment with low energy consumption or good operation performance through optimization and determines the flow rate.

[0059] Step S130: According to the historical operation data and historical energy efficiency index data of the LNG receiving station gasification unit, the energy consumption prediction model of the key equipment of the LNG receiving station gasification unit is corrected, and an energy efficiency optimization model of the LNG receiving station gasification unit is constructed.

[0060] In one embodiment, step S130 may include:

[0061] The energy consumption prediction model of the key equipment of the LNG receiving station gasification unit is integrated with all the key equipment in the LNG receiving station gasification unit to obtain the energy consumption prediction model of the key equipment of the total LNG receiving station gasification unit;

[0062] Using the historical operation data and historical energy efficiency index data of the LNG receiving station gasification unit, calibrate the energy consumption prediction model of key equipment of the total LNG receiving station gasification unit;

[0063] The optimization objectives are set for the energy consumption prediction model of key equipment in the gasification unit of the total LNG receiving station, and the energy efficiency optimization model of the gasification unit of the LNG receiving station is obtained.

[0064] The energy consumption prediction model of the key equipment of the LNG receiving station gasification unit of each key equipment needs to reflect the actual performance and differences of the key equipment. Therefore, after associating the energy consumption prediction models of the key equipment of the LNG receiving station gasification unit of all key equipment, this embodiment uses the historical operation data and historical energy efficiency index data of the LNG receiving station gasification unit to calibrate and optimize the total LNG receiving station gasification unit key equipment energy consumption prediction model, and then sets the optimization target to establish the LNG receiving station gasification unit energy efficiency optimization model. The accuracy of the total LNG receiving station gasification unit key equipment energy consumption prediction model largely determines the accuracy of the LNG receiving station gasification unit energy efficiency optimization model. In this embodiment, the optimization target of the LNG receiving station gasification unit energy efficiency optimization model is to minimize the comprehensive energy consumption per unit of external natural gas, and the comprehensive energy consumption per unit of external natural gas is obtained by adding the energy consumption calculated by the corresponding LNG receiving station gasification unit key equipment energy consumption prediction model such as the seawater pump and SCV.

[0065] Step S140: According to the actual operation data of the gasification unit of the LNG receiving station, an energy efficiency optimization plan of the gasification unit of the LNG receiving station is obtained by using the energy efficiency optimization model of the gasification unit of the LNG receiving station and the optimization target.

[0066] In one embodiment, the expression of the optimization objective is:

[0067]

[0068] In the expression of the optimization objective, E represents the energy efficiency index data of the gasification unit of the LNG receiving station (comprehensive energy consumption per unit of natural gas transmission and / or comprehensive energy consumption during operation), μ j Takes 0 or 1, when μ j When it is 0, it means that the jth key equipment in the gasification unit of the LNG receiving station is shut down. j When it is 1, it means that the jth key equipment in the gasification unit of the LNG receiving station is running, M ij represents the flow rate of the jth key equipment in the gasification unit of the LNG receiving station at time i, E ij Indicates M ij The objective function represents the energy consumption of the j-th key equipment at time i, which is obtained by the key equipment energy consumption prediction model of the j-th key equipment.

[0069] When E represents the comprehensive energy consumption per unit of natural gas transmission, it is usually based on the on-site data collection unit, such as per hour, to calculate the energy consumption per unit of natural gas transmission per hour. The comprehensive energy consumption during the operation period emphasizes the energy consumption consumed by processing a unit of natural gas transmission within a period of time, such as 1 day or a week, according to the needs of the site.

[0070] The target optimization algorithm used in this embodiment to solve the optimization target can be a genetic algorithm, particle swarm algorithm, etc. in a mathematical programming method or an artificial intelligence algorithm. The optimization target of the energy efficiency optimization model of the gasification unit of the LNG receiving station is to calculate the comprehensive energy consumption of the unit natural gas under different key equipment and flow combinations through the target optimization algorithm, and find the lowest value. If the IFV or ORV gasifier is used in the summer when the seawater is high temperature, the task of the energy efficiency optimization model of the gasification unit of the LNG receiving station is to select a suitable number of seawater pumps and gasifiers from multiple seawater pumps and gasifiers under different natural gas transmission tasks (the natural gas flow needs to be allocated to each gasifier) ​​(under the premise of meeting the on-site process and operation safety requirements), and determine that the energy consumption of each seawater pump that provides seawater flow to the gasifier is the minimum. If it is winter, it will be more complicated. In winter, the inlet seawater temperature is low. We can first use the energy consumption prediction model of the key equipment of the LNG receiving station gasification unit of the gasifier to calculate the natural gas flow that can be gasified by each selected IFV or ORV gasifier, select the appropriate seawater pump to calculate its corresponding energy consumption, select the appropriate SCV gasifier to complete the amount of natural gas required to be gasified in addition to the gasification of the IFV or ORV gasifier, calculate the natural gas flow that needs to flow through the SCV and the consumed fuel gas, as well as the fan power consumption of the compressed air required for the operation of the SCV and the supplementary consumption of the heat exchange circulating water inside the SCV.

[0071] The method for improving the energy efficiency of the gasification unit of an LNG receiving station provided by the present invention first constructs a key equipment energy consumption prediction model of the LNG receiving station gasification unit of each key equipment in the gasification unit of the LNG receiving station according to the historical equipment operation data and the historical energy consumption data of the key equipment, and then uses the historical operation data and the historical energy efficiency index data of the gasification unit of the LNG receiving station to correct the total key equipment energy consumption prediction model of the LNG receiving station gasification unit that includes the key equipment energy consumption prediction model of the LNG receiving station gasification unit of all key equipment, and then constructs an energy efficiency optimization model of the LNG receiving station gasification unit. The energy efficiency optimization model of the LNG receiving station gasification unit utilizes the optimization goal of the highest energy efficiency of the LNG receiving station gasification unit to help achieve accurate matching operation between key equipment of the gasification unit of the LNG receiving station, and provide reliable data support for the system operation of the LNG receiving station.

[0072] The energy efficiency improvement system of the LNG receiving station gasification unit provided by the present invention is described below. The energy efficiency improvement system of the LNG receiving station gasification unit described below and the energy efficiency improvement method of the LNG receiving station gasification unit described above can be referred to each other.

[0073] Reference Figure 3 The present invention provides an LNG receiving station gasification unit energy efficiency improvement system, which may include:

[0074] The data acquisition module is used to obtain the historical equipment operation data and historical energy consumption data of the key equipment of the LNG receiving station gasification unit, the historical operation data and historical energy efficiency index data of the LNG receiving station gasification unit, and the actual operation data of the LNG receiving station gasification unit;

[0075] The first construction module is used to: construct an energy consumption prediction model for key equipment of the gasification unit of the LNG receiving station based on historical equipment operation data and historical energy consumption data of key equipment of the gasification unit of the LNG receiving station;

[0076] The second construction module is used to: calibrate the energy consumption prediction model of key equipment of the LNG receiving station gasification unit according to the historical operation data and historical energy efficiency index data of the LNG receiving station gasification unit, and construct the energy efficiency optimization model of the LNG receiving station gasification unit;

[0077] The optimization module is used to obtain the energy efficiency optimization plan of the gasification unit of the LNG receiving station according to the actual operation data of the gasification unit of the LNG receiving station, through the energy efficiency optimization model of the gasification unit of the LNG receiving station, and using the optimization target.

[0078] Figure 4 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 4 As shown, the electronic device may include: a processor 810, a communication interface 820, a memory 830 and a communication bus 840, wherein the processor 810, the communication interface 820 and the memory 830 communicate with each other through the communication bus 840. The processor 810 may call the logic instructions in the memory 830 to execute the energy efficiency improvement method of the gasification unit of the LNG receiving station, and the method includes:

[0079] Obtain the historical equipment operation data and historical energy consumption data of key equipment of the LNG receiving station gasification unit, the historical operation data and historical energy efficiency index data of the LNG receiving station gasification unit, and the actual operation data of the LNG receiving station gasification unit;

[0080] Based on the historical equipment operation data and historical energy consumption data of the key equipment of the gasification unit of the LNG receiving station, an energy consumption prediction model for the key equipment of the gasification unit of the LNG receiving station is constructed;

[0081] According to the historical operation data and historical energy efficiency index data of the LNG receiving station gasification unit, the energy consumption prediction model of the key equipment of the LNG receiving station gasification unit is corrected, and the energy efficiency optimization model of the LNG receiving station gasification unit is constructed;

[0082] According to the actual operation data of the gasification unit of the LNG receiving station, the energy efficiency optimization plan of the gasification unit of the LNG receiving station is obtained through the energy efficiency optimization model of the gasification unit of the LNG receiving station and the optimization target.

[0083] In addition, the logic instructions in the above-mentioned memory 830 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0084] On the other hand, the present invention further provides a computer program product, the computer program product includes a computer program, the computer program can be stored in a non-transitory computer-readable storage medium, when the computer program is executed by a processor, the computer can execute the energy efficiency improvement method of the LNG receiving station gasification unit provided by the above methods, the method comprising:

[0085] Obtain the historical equipment operation data and historical energy consumption data of key equipment of the LNG receiving station gasification unit, the historical operation data and historical energy efficiency index data of the LNG receiving station gasification unit, and the actual operation data of the LNG receiving station gasification unit;

[0086] Based on the historical equipment operation data and historical energy consumption data of the key equipment of the gasification unit of the LNG receiving station, an energy consumption prediction model for the key equipment of the gasification unit of the LNG receiving station is constructed;

[0087] According to the historical operation data and historical energy efficiency index data of the LNG receiving station gasification unit, the energy consumption prediction model of the key equipment of the LNG receiving station gasification unit is corrected, and the energy efficiency optimization model of the LNG receiving station gasification unit is constructed;

[0088] According to the actual operation data of the gasification unit of the LNG receiving station, the energy efficiency optimization plan of the gasification unit of the LNG receiving station is obtained through the energy efficiency optimization model of the gasification unit of the LNG receiving station and the optimization target.

[0089] In another aspect, the present invention further provides a non-transitory computer-readable storage medium having a computer program stored thereon, which is implemented when the computer program is executed by a processor to perform the energy efficiency improvement method of the gasification unit of the LNG receiving station provided by the above methods, the method comprising:

[0090] Obtain the historical equipment operation data and historical energy consumption data of key equipment of the LNG receiving station gasification unit, the historical operation data and historical energy efficiency index data of the LNG receiving station gasification unit, and the actual operation data of the LNG receiving station gasification unit;

[0091] Based on the historical equipment operation data and historical energy consumption data of the key equipment of the gasification unit of the LNG receiving station, an energy consumption prediction model for the key equipment of the gasification unit of the LNG receiving station is constructed;

[0092] According to the historical operation data and historical energy efficiency index data of the LNG receiving station gasification unit, the energy consumption prediction model of the key equipment of the LNG receiving station gasification unit is corrected, and the energy efficiency optimization model of the LNG receiving station gasification unit is constructed;

[0093] According to the actual operation data of the gasification unit of the LNG receiving station, the energy efficiency optimization plan of the gasification unit of the LNG receiving station is obtained through the energy efficiency optimization model of the gasification unit of the LNG receiving station and the optimization target.

[0094] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0095] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0096] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention 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 make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for improving the energy efficiency of a gasification unit of an LNG receiving station, characterized in that: include: Obtain the historical equipment operation data and historical energy consumption data of key equipment of the LNG receiving station gasification unit, the historical operation data and historical energy efficiency index data of the LNG receiving station gasification unit, and the actual operation data of the LNG receiving station gasification unit; Based on the historical equipment operation data and historical energy consumption data of the key equipment of the gasification unit of the LNG receiving station, an energy consumption prediction model for the key equipment of the gasification unit of the LNG receiving station is constructed; According to the historical operation data and historical energy efficiency index data of the LNG receiving station gasification unit, the energy consumption prediction model of the key equipment of the LNG receiving station gasification unit is corrected, and the energy efficiency optimization model of the LNG receiving station gasification unit is constructed; According to the actual operation data of the gasification unit of the LNG receiving station, the energy efficiency optimization plan of the gasification unit of the LNG receiving station is obtained through the energy efficiency optimization model of the gasification unit of the LNG receiving station and the optimization target.

2. The method for improving energy efficiency of a gasification unit of an LNG receiving station according to claim 1, characterized in that: The key equipment of the gasification unit of the LNG receiving station includes any one of the following or any combination thereof: open-frame gasifier, intermediate medium gasifier, submerged combustion gasifier, and seawater pump.

3. The method for improving energy efficiency of a gasification unit of an LNG receiving station according to claim 1, characterized in that: The historical equipment operation data of the key equipment of the gasification unit of the LNG receiving station includes any one of the following items or any combination thereof: exported natural gas data, seawater pump data, ORV / IFV data, and SCV data; wherein the exported natural gas data includes the composition, flow rate, and exported pressure of the exported natural gas; the seawater pump data includes the seawater inlet temperature, inlet and outlet pressures, and flow rate of the seawater pump; the ORV / IFV data includes the temperature, pressure, and flow rate of the LNG inlet of the ORV and / or IFV, and the temperature and pressure of the NG outlet; the SCV data includes the temperature, pressure, and flow rate of the LNG inlet of the SCV, and the temperature and pressure of the NG outlet, as well as the inlet pressure, temperature, and flow rate of the fuel gas; The historical energy consumption data of key equipment of the gasification unit of the LNG receiving station includes any one of the following or any combination thereof: electricity consumption, fuel gas consumption, and water consumption.

4. The method for improving energy efficiency of a gasification unit of an LNG receiving station according to claim 1, characterized in that: The historical operation data of the gasification unit of the LNG receiving station includes any one of the following items or any combination thereof: exported natural gas data, seawater pump data, ORV / IFV data, and SCV data; wherein the exported natural gas data includes the composition, flow rate, and export pressure of the exported natural gas; the seawater pump data includes the seawater inlet temperature, inlet and outlet pressures, and flow rate of the seawater pump; the ORV / IFV data includes the temperature, pressure, and flow rate of the LNG inlet of the ORV and / or IFV, and the temperature and pressure of the NG outlet; the SCV data includes the temperature, pressure, and flow rate of the LNG inlet of the SCV, and the temperature and pressure of the NG outlet, as well as the inlet pressure, temperature, and flow rate of the fuel gas; The historical energy efficiency index data of the gasification unit of the LNG receiving station include: comprehensive energy consumption per unit of exported natural gas and / or comprehensive energy consumption during the operating period.

5. The method for improving energy efficiency of a gasification unit of an LNG receiving station according to any one of claims 1 to 4, characterized in that: The energy consumption prediction model for key equipment of the gasification unit of the LNG receiving station is constructed based on the historical equipment operation data and historical energy consumption data of the key equipment of the gasification unit of the LNG receiving station, including: According to the historical equipment operation data and historical energy consumption data of the jth key equipment of the gasification unit of the LNG receiving station, and using the working principle of the jth key equipment of the gasification unit of the LNG receiving station, a key equipment energy consumption prediction model of the first LNG receiving station gasification unit of the jth key equipment is constructed, wherein the key equipment energy consumption prediction model of the first LNG receiving station gasification unit is a mechanism model; Based on the historical equipment operation data and historical energy consumption data of the jth key equipment of the gasification unit of the LNG receiving station, an energy consumption prediction model for the key equipment of the gasification unit of the second LNG receiving station of the jth key equipment is constructed by using artificial intelligence algorithm; The first LNG receiving station gasification unit key equipment energy consumption prediction model and the second LNG receiving station gasification unit key equipment energy consumption prediction model of the jth key equipment in the LNG receiving station gasification unit are integrated to obtain the LNG receiving station gasification unit key equipment energy consumption prediction model for the jth key equipment, and then the LNG receiving station gasification unit key equipment energy consumption prediction model for all key equipment in the LNG receiving station gasification unit is obtained.

6. The method for improving energy efficiency of a gasification unit of an LNG receiving station according to claim 5, characterized in that: According to the historical operation data and historical energy efficiency index data of the gasification unit of the LNG receiving station, the energy consumption prediction model of the key equipment of the gasification unit of the LNG receiving station is corrected, and the energy efficiency optimization model of the gasification unit of the LNG receiving station is constructed, including: The energy consumption prediction model of the key equipment of the LNG receiving station gasification unit is integrated with all the key equipment in the LNG receiving station gasification unit to obtain the energy consumption prediction model of the key equipment of the total LNG receiving station gasification unit; Using the historical operation data and historical energy efficiency index data of the LNG receiving station gasification unit, calibrate the energy consumption prediction model of key equipment of the total LNG receiving station gasification unit; The optimization objectives are set for the energy consumption prediction model of key equipment in the gasification unit of the total LNG receiving station, and the energy efficiency optimization model of the gasification unit of the LNG receiving station is obtained.

7. The method for improving energy efficiency of a gasification unit of an LNG receiving station according to claim 6, characterized in that: The expression of the optimization objective is: In the expression of the optimization objective, E represents the energy efficiency index data of the gasification unit of the LNG receiving station, μ j Takes 0 or 1, when μ j When it is 0, it means that the jth key equipment in the gasification unit of the LNG receiving station is shut down. j When it is 1, it means that the jth key equipment in the gasification unit of the LNG receiving station is running, M ij represents the flow rate of the jth key equipment in the gasification unit of the LNG receiving station at time i, E ij Indicates M ij The objective function represents the energy consumption of the j-th key equipment at time i, which is obtained by the key equipment energy consumption prediction model of the j-th key equipment.

8. An energy efficiency improvement system for a gasification unit of an LNG receiving station, characterized in that: include: The data acquisition module is used to obtain the historical equipment operation data and historical energy consumption data of the key equipment of the LNG receiving station gasification unit, the historical operation data and historical energy efficiency index data of the LNG receiving station gasification unit, and the actual operation data of the LNG receiving station gasification unit; The first construction module is used to: construct an energy consumption prediction model for key equipment of the gasification unit of the LNG receiving station based on historical equipment operation data and historical energy consumption data of key equipment of the gasification unit of the LNG receiving station; The second construction module is used to: calibrate the energy consumption prediction model of key equipment of the LNG receiving station gasification unit according to the historical operation data and historical energy efficiency index data of the LNG receiving station gasification unit, and construct the energy efficiency optimization model of the LNG receiving station gasification unit; The optimization module is used to obtain the energy efficiency optimization plan of the gasification unit of the LNG receiving station according to the actual operation data of the gasification unit of the LNG receiving station, through the energy efficiency optimization model of the gasification unit of the LNG receiving station, and using the optimization target.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the method for improving the energy efficiency of the gasification unit of the LNG receiving station as described in any one of claims 1 to 7 is implemented.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for improving the energy efficiency of a gasification unit of an LNG receiving station as described in any one of claims 1 to 7 is implemented.

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