Method, device and equipment for determining energy efficiency level of LNG receiving station

Abstract

The invention relates to the technical field of liquefied natural gas, in particular to an energy efficiency level determination method, device and equipment for an LNG receiving station, and the method comprises the steps: building a three-level energy efficiency evaluation system of the LNG receiving station according to historical operation parameters of the LNG receiving station under each working condition; the three-stage energy efficiency evaluation system comprises an equipment energy efficiency evaluation criterion, a unit energy efficiency evaluation criterion and a system energy efficiency evaluation criterion; constructing a three-level energy efficiency prediction model of the LNG receiving station under each working condition; based on the three-level energy efficiency prediction model, optimizing a three-level energy efficiency level corresponding to the three-level energy efficiency evaluation system of the LNG receiving station under each working condition; the three-stage energy efficiency level comprises an equipment energy efficiency level, a unit energy efficiency level and a system energy efficiency level. According to the embodiment of the invention, weak energy consumption links in the LNG receiving station can be more comprehensively, scientifically and effectively positioned, an optimized process and key equipment regulation and control strategy is formed, and the operation energy efficiency level of the LNG receiving station is optimized.

Description

Technical Field

[0001] The embodiments of this specification relate to the technical field of liquefied natural gas, and specifically to a method, device, and equipment for determining the energy efficiency level of an LNG receiving terminal. Background Art

[0002] The unloading, storage, and gasification and external transportation processes of liquefied natural gas (LNG) at an LNG receiving terminal are important components of the development and utilization of natural gas (NG).

[0003] The downstream user demand of the LNG receiving terminal fluctuates greatly. At the same time, continuous processes such as boil-off gas treatment and gaseous external transportation are also affected by intermittent processes such as LNG unloading and liquid external transportation and are often in dynamic changes. These influencing factors pose challenges to the optimized operation and energy conservation and consumption reduction of the LNG receiving terminal. At present, the overall measurement and single-index evaluation mode are mostly adopted at the LNG receiving terminal site, which cannot achieve a comprehensive evaluation and analysis of the energy efficiency of the LNG receiving terminal. In addition, due to the lack of a scientific and effective evaluation system and energy efficiency benchmark, it is difficult to clearly locate the weak links in energy use, form an optimized process and key equipment control strategy, which is not conducive to carrying out the energy efficiency evaluation and energy conservation and consumption reduction work of the LNG receiving terminal operation.

[0004] Therefore, how to overcome the problems in the existing methods, such as the inability to achieve a comprehensive evaluation and analysis of the energy efficiency of the LNG receiving terminal, the lack of a scientific and effective evaluation system and energy efficiency benchmark, and the difficulty in clearly locating the weak links in energy use, and provide a comprehensive, scientific, and effective evaluation system and a method for determining the energy efficiency level of the LNG receiving terminal, and then locate the weak links in energy use and form an optimized process and key equipment control strategy to achieve the optimization of the energy efficiency level of the LNG receiving terminal operation is a key problem to be solved urgently. Summary of the Invention

[0005] The purpose of the embodiments of this specification is to provide a method for determining the energy efficiency level of an LNG receiving terminal to overcome the problems in the existing methods, such as the inability to achieve a comprehensive evaluation and analysis of the energy efficiency of the LNG receiving terminal, the lack of a scientific and effective evaluation system and energy efficiency benchmark, and the difficulty in clearly locating the weak links in energy use, and achieve the optimization of the energy efficiency level of the LNG receiving terminal operation.

[0006] On the one hand, an embodiment of the present specification proposes a method for determining the energy efficiency level of an LNG receiving terminal. The method includes: establishing a three - level energy efficiency evaluation system for the LNG receiving terminal according to the historical operation parameters of the LNG receiving terminal under each working condition; the three - level energy efficiency evaluation system includes an equipment energy efficiency evaluation criterion, a unit energy efficiency evaluation criterion, and a system energy efficiency evaluation criterion; constructing a three - level energy efficiency prediction model for the LNG receiving terminal under each working condition; based on the three - level energy efficiency prediction model, optimizing the three - level energy efficiency level corresponding to the three - level energy efficiency evaluation system of the LNG receiving terminal under each working condition; the three - level energy efficiency level includes an equipment energy efficiency level, a unit energy efficiency level, and a system energy efficiency level.

[0007] On the other hand, an apparatus for determining the energy efficiency level of an LNG receiving terminal. The apparatus for determining the energy efficiency level of the LNG receiving terminal includes: a establishing module, configured to establish a three - level energy efficiency evaluation system for the LNG receiving terminal according to the historical operation parameters of the LNG receiving terminal under each working condition; the three - level energy efficiency evaluation system includes an equipment energy efficiency evaluation criterion, a unit energy efficiency evaluation criterion, and a system energy efficiency evaluation criterion; a constructing module, configured to construct a three - level energy efficiency prediction model for the LNG receiving terminal under each working condition; an optimizing module, configured to optimize the three - level energy efficiency level corresponding to the three - level energy efficiency evaluation system of the LNG receiving terminal under each working condition based on the three - level energy efficiency prediction model; the three - level energy efficiency level includes an equipment energy efficiency level, a unit energy efficiency level, and a system energy efficiency level.

[0008] On yet another hand, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor executes the above - mentioned method for determining the energy efficiency level of the LNG receiving terminal.

[0009] As can be seen from the technical solutions provided by the embodiments of the present specification above, the embodiments of the present specification can establish a three - level energy efficiency evaluation system for the LNG receiving terminal according to the historical operation parameters of the LNG receiving terminal under each working condition; the three - level energy efficiency evaluation system includes an equipment energy efficiency evaluation criterion, a unit energy efficiency evaluation criterion, and a system energy efficiency evaluation criterion; construct a three - level energy efficiency prediction model for the LNG receiving terminal under each working condition; based on the three - level energy efficiency prediction model, optimize the three - level energy efficiency level corresponding to the three - level energy efficiency evaluation system of the LNG receiving terminal under each working condition; the three - level energy efficiency level includes an equipment energy efficiency level, a unit energy efficiency level, and a system energy efficiency level. Compared with existing methods, it can more comprehensively, scientifically, and effectively locate the weak energy - using links in the LNG receiving terminal and form optimized process and key equipment control strategies to achieve the optimization of the operating energy efficiency level of the LNG receiving terminal. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] In order to more clearly illustrate the technical solutions in the embodiments of the present specification or in the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art.

[0011] Figure 1 is a flowchart of the method for determining the energy efficiency level of an LNG receiving terminal provided by an embodiment of this specification;

[0012] Figure 2 is an overall logic schematic diagram of the method for determining the energy efficiency level of an LNG receiving terminal provided by an embodiment of this specification;

[0013] Figure 3 is a comparison schematic diagram of the predicted value and the actual value of the unit energy consumption of an LNG high-pressure pump provided by an embodiment of this specification;

[0014] Figure 4 is a schematic diagram of the relative error distribution of the unit energy consumption prediction model of an LNG high-pressure pump provided by an embodiment of this specification;

[0015] Figure 5 is a comparison schematic diagram of the optimal value of the energy consumption per unit throughput of the high-pressure export unit calculated by the three-level energy efficiency optimization model of the LNG receiving terminal under different operating conditions and the historical operating value provided by an embodiment of this specification;

[0016] Figure 6 is a schematic diagram of the structural composition of the device for determining the energy efficiency level of an LNG receiving terminal provided by an embodiment of this specification;

[0017] Figure 7 is a schematic diagram of the structural composition of a computer device provided by an embodiment of this specification. Specific Embodiments

[0018] Next, the technical solutions in the embodiments of this specification will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of this specification. Obviously, the described embodiments are only a part of the embodiments of this specification, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in this specification without making creative efforts shall fall within the protection scope of this specification.

[0019] Figure 1 is a flowchart of the method for determining the energy efficiency level of an LNG receiving terminal, Figure 2 is an overall logic schematic diagram of the method for determining the energy efficiency level of an LNG receiving terminal. Specifically, when implemented, this method includes the following steps:

[0020] The typical process of an LNG receiving terminal mainly consists of unloading, storage, BOG treatment, low-pressure external transportation, and high-pressure external transportation processes. During unloading, LNG is transported from the LNG carrier's unloading pump through the unloading arm and unloading pipeline to the storage tank. The BOG generated in the storage tank is returned to the ship's cabin through the vapor arm after pressure regulation to balance the pressure in the cabin. The remaining BOG is compressed by a compressor and then enters the recombiner, where it is condensed and liquefied by the LNG pressurized by the LNG low-pressure pump from the storage tank. Then, it is mixed with another stream of LNG pressurized by the LNG low-pressure pump from the storage tank and enters the high-pressure external transportation pump to be pressurized to the pipeline transportation pressure. Next, it enters the vaporizer to absorb heat and vaporize, and finally is transported externally through the pipeline network.

[0021] S101: Establish a three-level energy efficiency evaluation system for the LNG receiving terminal based on the historical operation parameters of the LNG receiving terminal under each working condition; the three-level energy efficiency evaluation system includes equipment energy efficiency evaluation criteria, unit energy efficiency evaluation criteria, and system energy efficiency evaluation criteria.

[0022] In some embodiments, the operation conditions of the LNG receiving terminal are divided according to the uncontrollable operation parameters in the historical operation parameters.

[0023] By using the uncontrollable operation parameters in the historical operation parameters, the operation conditions of the LNG receiving terminal can be divided, and thus the corresponding energy efficiency levels can be obtained for each working condition.

[0024] The historical operation parameters of the LNG receiving terminal can be obtained. The historical operation parameters include key parameters and energy consumption and material consumption parameters. The key parameters include controllable operation parameters and uncontrollable operation parameters. The controllable operation parameters at least include one of the start-stop state of the equipment, unloading speed, cold insulation circulation volume, BOG compressor inlet pressure, BOG compressor temperature, BOG compressor outlet pressure, recombiner spray volume, recombiner pressure, recombiner liquid level, LNG low-pressure pump flow rate, LNG high-pressure pump flow rate, seawater pump flow rate, vaporizer LNG flow rate, vaporizer seawater flow rate. The uncontrollable operation parameters at least include one of whether the ship has been unloaded, season, pressure of the incoming LNG, temperature of the incoming LNG, composition of the incoming LNG, LNG liquid level in the storage tank, LNG density in the storage tank, LNG pressure in the storage tank, liquid external transportation volume, gaseous external transportation volume, external transportation pressure, seawater pump tidal difference, seawater inlet pressure, seawater inlet temperature. The energy consumption and material consumption parameters at least include one of fuel gas consumption, nitrogen consumption, electric power, current, voltage, operation time, electricity bill, capacity electricity bill, gas bill, maintenance cost.

[0025] Whether the LNG has been unloaded, season, the pressure of the incoming LNG, the temperature of the incoming LNG, the composition of the incoming LNG, the LNG liquid level in the storage tank, the LNG density in the storage tank, the LNG pressure in the storage tank, the liquid external output volume, the gaseous external output volume, the external output pressure, the tidal difference of the seawater pump, the seawater inlet pressure, the seawater inlet temperature, and any one or more of the uncontrollable operating parameters will have a huge impact on the operation of the LNG receiving terminal. Therefore, according to the different values or states of the uncontrollable operating parameters, the operating modes of the LNG receiving terminal can be classified into working conditions, and then different operating plans can be set for the LNG receiving terminal according to different working conditions.

[0026] In some embodiments, according to the historical operating parameters of the LNG receiving terminal under each working condition, the three-level energy efficiency evaluation index of the LNG receiving terminal under each working condition is determined; according to the historical operating parameters and the three-level energy efficiency evaluation index of the LNG receiving terminal under each working condition, a three-level energy efficiency evaluation system of the LNG receiving terminal under each working condition is established.

[0027] By determining the three-level energy efficiency evaluation index of the LNG receiving terminal under each working condition and establishing a three-level energy efficiency evaluation system of the LNG receiving terminal under each working condition, a foundation is laid for more comprehensively optimizing the energy efficiency level of the LNG receiving terminal under different working conditions.

[0028] The controllable operating parameters and energy consumption and material consumption parameters in the historical operating parameters affect the three-level energy efficiency evaluation index of the LNG receiving terminal under each working condition. The three-level energy efficiency evaluation index of the LNG receiving terminal may include one or more of the energy consumption per unit throughput, the energy consumption cost per unit, the energy consumption factor, and efficiency. Specifically, for a given device / unit / system, the energy efficiency evaluation index of the device / unit / system can be determined by the controllable operating parameters and energy consumption and material consumption parameters related to the given device / unit / system. For example, for a given high-pressure external output unit, the relevant controllable operating parameter can be determined as the gaseous external output volume, and the relevant controllable operating parameters can be the electricity charge data of the high-pressure pump group and the seawater pump group in the high-pressure external output unit. According to the gaseous external output volume and the electricity charge data, the unit energy efficiency evaluation index of the high-pressure external output unit can be determined as the energy consumption per unit throughput and the energy consumption factor. After determining the controllable operating parameters, energy consumption and material consumption parameters, and energy efficiency evaluation index related to a given device / unit / system, the mapping relationship between the controllable operating parameters, energy consumption and material consumption parameters, and energy efficiency evaluation index can be established according to the operating mechanism of the given device / unit / system. Based on the mapping relationship between the controllable operating parameters, energy consumption and material consumption parameters, and energy efficiency evaluation index of the given device / unit / system under each working condition, the energy efficiency evaluation criterion of the given device / unit / system can be established, and then the three-level energy efficiency evaluation system of the LNG receiving terminal under each working condition can be obtained.

[0029] In some embodiments, according to the historical operation parameters of the LNG receiving terminal and the operation mechanism of the equipment under each working condition, the energy efficiency evaluation index of the equipment is determined; according to the historical operation parameters of the LNG receiving terminal and the operation mechanism of the unit under each working condition, the energy efficiency evaluation index of the unit is determined; according to the historical operation parameters of the LNG receiving terminal and the operation mechanism of the system under each working condition, the energy efficiency evaluation index of the system is determined.

[0030] Through the historical operation parameters of the LNG receiving terminal and the relevant operation mechanisms, the three-level energy efficiency evaluation indexes of the LNG receiving terminal can be determined respectively, laying a foundation for more comprehensively optimizing the energy efficiency level of the LNG receiving terminal under different working conditions based on the three-level energy efficiency evaluation indexes.

[0031] According to the controllable operation parameters and energy consumption and material consumption parameters in the historical operation parameters and the operation mechanism of the equipment in the LNG receiving terminal, the energy efficiency evaluation indexes of the equipment / unit / system can be determined. Specifically, for a given equipment / unit / system, first, the controllable operation parameters and energy consumption and material consumption parameters related to the given equipment / unit / system can be determined. Then, based on the operation mechanism of the given equipment / unit / system, the energy efficiency evaluation index of the equipment / unit / system can be determined. For example, for the high-pressure pump of the equipment under a certain working condition, the relevant controllable operation parameter can be determined as the flow rate of the LNG high-pressure pump, and the relevant energy consumption and material consumption parameter can be determined as the data of the electricity bill. Combining the operation mechanism of the high-pressure pump, it can be known that the ratio of the electricity bill data per hour of the high-pressure pump and the flow rate of the LNG high-pressure pump per hour is the energy consumption per unit throughput of the high-pressure pump. Therefore, the energy efficiency evaluation index of the high-pressure pump is the energy consumption per unit throughput. For example, for the high-pressure external transmission unit under a given working condition, the relevant controllable operation parameter can be determined as the gaseous external transmission volume, and the relevant energy consumption and material consumption parameters can be determined as the data of the electricity bills of the high-pressure pump group and the seawater pump group in the high-pressure external transmission unit. Combining the operation mechanism of the high-pressure external transmission unit, it can be known that the ratio of the electricity bill data of the high-pressure pump group and the seawater pump group in the high-pressure external transmission unit and the gaseous external transmission volume is the energy consumption per unit throughput. Therefore, the energy efficiency evaluation index of the high-pressure external transmission unit is the energy consumption per unit throughput. For example, for the LNG receiving terminal system under a certain working condition, the relevant controllable operation parameters can be determined as the gaseous external transmission volume and the liquid external transmission volume, and the relevant energy consumption and material consumption parameters can be determined as the data of the electricity bill. Combining the operation mechanism of the LNG receiving terminal system, it can be known that the ratio of the electricity bill data per hour of the LNG receiving terminal system and the sum of the gaseous external transmission volume and the liquid external transmission volume per hour is the energy consumption per unit throughput. Therefore, the energy efficiency evaluation index of the LNG receiving terminal system is the energy consumption per unit throughput.

[0032] S102: Construct a three-level energy efficiency prediction model for the LNG receiving terminal under each working condition.

[0033] In some embodiments, according to the historical operation parameters of the LNG receiving terminal equipment, the historical energy efficiency levels of the LNG receiving terminal under each operating condition are determined using the three-level energy efficiency evaluation system; the historical energy efficiency levels include the historical energy efficiency level of the equipment, the historical energy efficiency level of the unit, and the historical energy efficiency level of the system.

[0034] By using the three-level energy efficiency evaluation system to determine the historical energy efficiency levels of the LNG receiving terminal under each operating condition, it lays a data foundation for constructing the three-level energy efficiency prediction model of the LNG receiving terminal under each operating condition based on the historical energy efficiency levels of the LNG receiving terminal.

[0035] The three-level energy efficiency evaluation system includes the equipment energy efficiency evaluation criterion, the unit energy efficiency evaluation criterion, and the system energy efficiency evaluation criterion. The controllable operation parameters and energy consumption and material consumption parameters of each equipment, each unit, and the system in the LNG receiving terminal under each operating condition can be obtained, and the historical energy efficiency levels of the equipment, the unit, and the system of each equipment, each unit, and the system are respectively determined based on the corresponding equipment energy efficiency evaluation criterion, unit energy efficiency evaluation criterion, and system energy efficiency evaluation criterion in the three-level energy efficiency evaluation system. For example, for the high-pressure external transmission unit, the controllable operation parameters related to the high-pressure external transmission unit - the gas output of the high-pressure pump group and the seawater pump group, and the energy consumption and material consumption parameters related to the high-pressure external transmission unit - the electricity cost data are obtained. Based on the corresponding unit energy efficiency evaluation criterion of the high-pressure external transmission unit in the three-level energy efficiency evaluation system, the ratio of the electricity cost data and the gas output of the high-pressure pump group and the seawater pump group in the high-pressure external transmission unit is calculated to obtain the energy consumption per unit throughput of the high-pressure external transmission unit. The energy consumption per unit throughput of the high-pressure external transmission unit in multiple historical time periods can be calculated, and the energy consumption per unit throughput of the high-pressure external transmission unit in multiple historical time periods is fused, and then the historical energy efficiency level of the high-pressure external transmission unit is obtained. Among them, the fusion method can be taking the average value, taking the weighted average value, or the value obtained by using machine learning algorithms, which will not be elaborated here.

[0036] In some embodiments, according to the historical operation parameters of the LNG receiving terminal equipment and the historical energy efficiency levels of the LNG receiving terminal, a three-level energy efficiency prediction model of the LNG receiving terminal under each operating condition is constructed.

[0037] By constructing the three-level energy efficiency prediction model of the LNG receiving terminal under each operating condition and combining the prediction model with the LNG receiving terminal, it helps to achieve accurate prediction of the three-level energy efficiency level of the LNG receiving terminal.

[0038] According to the controllable operation parameters, energy consumption and material consumption parameters, and historical energy efficiency levels of each device, each unit, and the system in the LNG receiving terminal under each working condition, a three-level energy efficiency prediction model for each device, each unit, and the system in the LNG receiving terminal is constructed. Specifically, the controllable operation parameters related to each device, each unit, and the system in the LNG receiving terminal can be used as the input of the three-level energy efficiency prediction model, and the three-level energy efficiency prediction model outputs the corresponding device historical energy efficiency level, unit historical energy efficiency level, and system historical energy efficiency level of each device, each unit, and the system in the LNG receiving terminal. The three-level energy efficiency prediction model can be constructed based on algorithms such as machine learning / deep learning. Minimize the difference between the predicted device historical energy efficiency level, unit historical energy efficiency level, and system historical energy efficiency level output by the three-level energy efficiency prediction model and the real device historical energy efficiency level, unit historical energy efficiency level, and system historical energy efficiency level until the three-level energy efficiency prediction model fits. For example, for the high-pressure external transmission unit, the controllable operation parameters related to the high-pressure external transmission unit in the historical operation parameters - the gas output of the high-pressure pump group and the seawater pump group, and the unit historical energy efficiency level of the high-pressure external transmission unit can be obtained. The gas output of the high-pressure external transmission unit can be input into the unit energy efficiency prediction model based on DNN, and the unit energy efficiency prediction model based on DNN predicts and outputs the unit historical energy efficiency level of the high-pressure external transmission unit. Minimize the difference between the unit historical energy efficiency level of the high-pressure external transmission unit predicted and output by the unit energy efficiency prediction model based on DNN and the real unit historical energy efficiency level of the high-pressure external transmission unit until the unit energy efficiency prediction model based on DNN fits. Applying machine learning / deep learning algorithms to the energy efficiency level prediction / optimization scenario of the LNG receiving terminal, compared with traditional algorithms, these algorithms can automatically extract and learn the features in the data, avoid the cumbersome process of manually designing features, improve the accuracy and efficiency of feature selection, and thus can improve the accuracy and efficiency of the energy efficiency level prediction / optimization of the LNG receiving terminal.

[0039] S103: Based on the three-level energy efficiency prediction model, optimize the three-level energy efficiency levels corresponding to the three-level energy efficiency evaluation system of the LNG receiving terminal under each working condition; the three-level energy efficiency levels include device energy efficiency level, unit energy efficiency level, and system energy efficiency level.

[0040] In some embodiments, based on the three-level energy efficiency prediction model of the LNG receiving terminal under each working condition, a three-level energy efficiency optimization model of the LNG receiving terminal under each working condition is constructed.

[0041] By constructing a three-level energy efficiency optimization model of the LNG receiving terminal under each working condition based on the three-level energy efficiency prediction model of the LNG receiving terminal under each working condition, a foundation is laid for optimizing the three-level energy efficiency levels of the LNG receiving terminal under each working condition.

[0042] For the three - level energy efficiency prediction model under each working condition, heuristic algorithms such as the tabu search algorithm, ant colony algorithm, and particle swarm algorithm can be used to construct the three - level energy efficiency optimization model of the LNG receiving station. For example, for the three - level energy efficiency prediction model under a certain working condition, the particle swarm algorithm can be used to construct the three - level energy efficiency optimization model. Specifically, first, the search space of the three - level energy efficiency optimization model based on the particle swarm algorithm can be determined according to the operating ranges of the controllable operating parameters related to each device, each unit, and the system of the LNG receiving station. Then, multiple particles are randomly generated, and each particle has a random initial position and velocity. The position represents the candidate solution to the problem, and the velocity represents the direction and distance of the movement of the candidate solution. Then, the parameters of the three - level energy efficiency optimization model based on the particle swarm algorithm can be set, including the population size, the number of iterations, the acceleration constants, the inertia weight, etc. The fitness function can be set based on the three - level energy efficiency level results of the LNG receiving station, and then the fitness value (three - level energy efficiency level) of each particle can be calculated. By comparing the current fitness value of each particle with the fitness value of its historical best position, if the current fitness value is better, then its historical best position is updated. Among the historical best positions of all particles, the global optimal position, that is, the position with the largest fitness value, is found. According to the velocity update formula, the velocity of each particle is updated. The velocity update formula usually includes three parts: the inertial part (maintaining the previous velocity), the cognitive part (approaching the individual best position), and the social part (approaching the group best position). Check whether the termination condition is met, such as reaching the maximum number of iterations or meeting the minimum error requirement. If the termination condition is not met, then continue the iterative search. Repeat the steps of velocity and position update, as well as fitness evaluation and individual / group best position update until the termination condition is met. After the iteration ends, the global best position (optimal three - level energy efficiency level) is output.

[0043] In some embodiments, the operating ranges of the controllable operating parameters in the historical operating parameters are determined; according to the operating ranges of the controllable operating parameters and the three - level energy efficiency prediction model of the LNG receiving station under each working condition, the equipment energy efficiency optimization function, the unit energy efficiency optimization function, and the system energy efficiency optimization function are sequentially constructed; according to the uncontrollable operating parameters, the equipment energy efficiency optimization function, the unit energy efficiency optimization function, and the system energy efficiency optimization function are constrained to generate the three - level energy efficiency optimization function under each working condition; based on the three - level energy efficiency optimization model under each working condition, the three - level energy efficiency optimization function is minimized to obtain the optimized value of the three - level energy efficiency level; according to the optimized value of the three - level energy efficiency level, the three - level energy efficiency level corresponding to the three - level energy efficiency evaluation system of the LNG receiving station under each working condition is optimized.

[0044] By constraining the device energy efficiency optimization function, the unit energy efficiency optimization function, and the system energy efficiency optimization function to generate the three-level energy efficiency optimization function under each working condition, and then minimizing the three-level energy efficiency optimization function to obtain the optimized value of the three-level energy efficiency level. According to the optimized value of the three-level energy efficiency level, the three-level energy efficiency level of the LNG receiving station under each working condition can be optimized, realizing the intelligent and precise adjustment of the three-level energy efficiency level of the LNG receiving station.

[0045] The operating intervals of the controllable operating parameters can be determined according to the values of the controllable operating parameters related to each device, each unit, and the system of the LNG receiving station in the historical operating parameters. According to the operating intervals of the controllable operating parameters related to each device, each unit, and the system of the LNG receiving station under each working condition and the three-level energy efficiency prediction model constructed based on the heuristic algorithm, the device energy efficiency optimization function, the unit energy efficiency optimization function, and the system energy efficiency optimization function are constructed in sequence. According to the uncontrollable operating parameters related to each device, each unit, and the system of the LNG receiving station in the historical operating parameters, the device energy efficiency optimization function, the unit energy efficiency optimization function, and the system energy efficiency optimization function are combined to generate the three-level energy efficiency optimization function under each working condition. Minimizing the generated three-level energy efficiency optimization function under each working condition can obtain the optimized values of the three-level energy efficiency levels related to each device, each unit, and the system of the LNG receiving station. According to the recommended values of the controllable operating parameters, the three-level energy efficiency level corresponding to the three-level energy efficiency evaluation system of the LNG receiving station under each working condition can be optimized to the obtained optimized value.

[0046] For example, for a three - level energy efficiency prediction model under a certain working condition, a particle swarm algorithm can be used to construct a three - level energy efficiency optimization model. Specifically, first, the search space of the three - level energy efficiency optimization model based on the particle swarm algorithm can be determined according to the operating ranges of the controllable operating parameters related to each device, each unit, and the system of the LNG receiving station. Then, multiple particles are randomly generated, and each particle has a random initial position and velocity. The position represents the candidate solution to the problem, and the velocity represents the direction and distance of the movement of the candidate solution. Next, the parameters of the three - level energy efficiency optimization model based on the particle swarm algorithm can be set, including the population size, the number of iterations, the acceleration constants, the inertia weight, etc. The device energy efficiency optimization function, unit energy efficiency optimization function, and system energy efficiency optimization function of each device, each unit, and the system of the LNG receiving station can be set based on the three - level energy efficiency level results of the LNG receiving station, and then the device energy efficiency values, unit energy efficiency values, and system values corresponding to each particle can be calculated respectively. Based on the uncontrollable operating parameters related to each device, each unit, and the system of the LNG receiving station in the historical operating parameters, the device energy efficiency optimization function, unit energy efficiency optimization function, and system energy efficiency optimization function are combined to form a three - level energy efficiency optimization function, and then the three - level energy efficiency value of each particle can be calculated. By comparing the current three - level energy efficiency value of each particle with the three - level energy efficiency value of its historical best position, if the current three - level energy efficiency value is better, then its historical best position is updated. Among the historical best positions of all particles, the global optimal position, that is, the position with the largest three - level energy efficiency value, is found. According to the velocity update formula, the velocity of each particle is updated. The velocity update formula usually includes three parts: an inertial part (maintaining the previous velocity), a cognitive part (approaching the individual best position), and a social part (approaching the group best position). Check whether the termination condition is met, such as reaching the maximum number of iterations or meeting the minimum error requirement. If the termination condition is not met, continue the iterative search. Repeat the steps of velocity and position update, as well as fitness evaluation and individual / group best position update until the termination condition is met. After the iteration ends, the optimized value of the optimal three - level energy efficiency level is output. According to the recommended values of the controllable operating parameters, the three - level energy efficiency level corresponding to the three - level energy efficiency evaluation system of the LNG receiving station under each working condition can be optimized to the obtained optimized value.

[0047] The following provides a specific embodiment of this specification:

[0048] 1. Based on historical operating parameters, establish a three - level energy efficiency evaluation system for the LNG receiving station. The three - level energy efficiency evaluation system includes device energy efficiency evaluation criteria, unit energy efficiency evaluation criteria, and system energy efficiency evaluation criteria.

[0049] 2. Select the three - level energy efficiency evaluation indicators for devices, units, and systems. This step mainly determines the energy efficiency evaluation indicators at each level.

[0050] 2.1 System - level energy efficiency evaluation indicators for the LNG receiving station.

[0051] System-level possible energy efficiency evaluation indicators include: energy consumption per unit throughput, cost per unit energy consumption, and energy consumption factor (actual energy consumption / base energy consumption), etc.

[0052] For the system-level energy efficiency evaluation indicators of the LNG receiving terminal: the energy consumption per unit throughput can be calculated according to the following formula.

[0053]

[0054] In the formula: is the energy consumption per unit throughput of the LNG receiving terminal, in kilowatt-hours per ten thousand standard cubic meters (kW·h / 10 4 Nm 3 ); E p is the power consumption for exporting natural gas per hour of the LNG receiving terminal, in kilowatts (kW); Φ G is the hourly gaseous export volume, in ten thousand standard cubic meters per hour (10 4 Nm 3 / h); Φ L is the hourly liquid export volume, in ten thousand standard cubic meters per hour (10 4 Nm 3 / h).

[0055] 2.2 Energy efficiency evaluation indicators for units of the LNG receiving terminal.

[0056] Taking the high-pressure export unit as an example, its possible energy efficiency evaluation indicators include: energy consumption per unit export volume and energy consumption factor, etc.

[0057] For example, for the energy efficiency evaluation indicators of the high-pressure export unit, the energy consumption per unit export volume can be calculated according to the following formula.

[0058] e U,H = E HP + E SWP / Φ G ;

[0059] In the formula: e U,H is the energy consumption per unit export volume of the high-pressure export unit, in kilowatt-hours per ten thousand standard cubic meters (kW·h / 104Nm3); E HP is the power consumption of the high-pressure pump set per hour, in kilowatts (kW); E SWP is the power consumption of the seawater pump set per hour, in kilowatts (kW); Φ G is the hourly gaseous export volume, in ten thousand standard cubic meters per hour (10 4 Nm 3 / h).

[0060] 2.3 Equipment-level energy efficiency evaluation indicators

[0061] The equipment included in the high-pressure external transportation unit, namely the LNG high-pressure pump, seawater pump, and intermediate medium vaporizer, may have energy efficiency evaluation indicators, including: the energy consumption per unit of external transportation volume of the LNG high-pressure pump and seawater pump, and pump efficiency; the seawater flow rate per unit of NG external transportation volume of the intermediate medium vaporizer, efficiency, etc.

[0062] For example, for the energy efficiency evaluation indicator of the high-pressure pump, which is a key equipment included in the high-pressure external transportation unit, the energy consumption per unit of external transportation volume can be calculated according to the following formula.

[0063] e HP =E HP / Φ HP ;

[0064] In the formula: e HP is the unit power consumption of the high-pressure pump, with the unit of kilowatt-hour per cubic meter (kW·h / Nm 3 ); E HP is the power consumption of the high-pressure pump per hour, with the unit of kilowatt (kW); Φ HP is the LNG flow rate passing through the high-pressure pump per hour, with the unit of cubic meter per hour (m 3 / h).

[0065] Again, for example, for the energy efficiency evaluation indicator of the high-pressure pump, which is an equipment included in the high-pressure external transportation unit, the pump efficiency can be calculated according to the following formula.

[0066] η p =ρgΦ v H / 1000E p ;

[0067]

[0068] In the formula: η p is the pump efficiency; ρ is the medium density, with the unit of kilogram per cubic meter (kg / m 3 ); g is the acceleration due to gravity, with the unit of meter per second squared (m / s 2 ); E p is the medium volume flow rate, with the unit of cubic meter per second (kg / m 3 ); H is the head of the pump, with the unit of meter (m); (p2, p1) are the pressures of the medium at the inlet and outlet of the pump respectively, with the unit of Pascal (Pa); are the flow velocities of the medium at the inlet and outlet of the pump respectively, with the unit of meter per second (m / s); (z2, z1) are the heights of the medium at the inlet and outlet of the pump respectively, with the unit of meter (m).

[0069] 3. Divide the operating conditions of the LNG receiving terminal and conduct a three - level energy efficiency evaluation according to different conditions. Taking the cases of no ship unloading, winter, rich liquid, LNG export pressure range of 6 - 10 MPa, and LNG export volume range of 1000 - 1500 m3 / h as examples, the number of operating high - pressure pumps, seawater pumps, and vaporizers involved is 3 - 5 units.

[0070] 4. Determine the controllable operating parameters that affect the three - level energy efficiency evaluation indicators to provide guidance for optimizing operation at all levels.

[0071] 4.1 Determine the controllable operating parameters that affect the system - level energy efficiency evaluation indicators of the LNG system.

[0072] Possible controllable operating parameters at the system level include: LNG liquid level, density and pressure in the storage tank, cold - insulation circulation volume, liquid export volume, gas export volume and export pressure, inlet pressure and temperature and outlet pressure of the BOG high - and low - pressure compressors, spray volume of the re - condenser, re - condenser pressure and liquid level, inlet pressure and temperature, outlet pressure and flow rate of various pumps including LNG low - pressure pumps, high - pressure pumps, and seawater pumps, tidal difference of the seawater pump, inlet pressure and temperature, flow rate of LNG and seawater in the intermediate - medium vaporizer, etc.

[0073] 4.2 Determine the controllable operating parameters that affect the unit - level energy efficiency evaluation indicators.

[0074] For example, in the high - pressure export unit, its possible controllable operating parameters include: gas export volume and export pressure, inlet pressure and temperature, outlet pressure and flow rate of LNG high - pressure pumps and seawater pumps, tidal difference of the seawater pump, inlet pressure and temperature, flow rate of LNG and seawater in the intermediate - medium vaporizer, etc.

[0075] 4.3 Determine the controllable operating parameters that affect the equipment - level energy efficiency evaluation indicators.

[0076] For example, for LNG high - pressure pumps, seawater pumps, and intermediate - medium vaporizers, possible controllable operating parameters include: gas export volume and export pressure, inlet pressure and temperature, outlet pressure and flow rate of LNG high - pressure pumps and seawater pumps, tidal difference of the seawater pump, inlet pressure and temperature, flow rate of LNG and seawater in the intermediate - medium vaporizer, etc.

[0077] 5. Collect the controllable operating parameters and energy - consumption and material - consumption parameters under the given conditions, establish a three - level energy efficiency evaluation system, and calculate the corresponding historical energy efficiency level.

[0078] 6. According to the above - mentioned historical operating parameters, establish a three - level energy efficiency prediction model and calculate the predicted values of the three - level energy efficiency evaluation indicators.

[0079] Excluding shutdowns and abnormal data, taking the energy consumption per unit of external output, one of the energy efficiency evaluation indicators of the high-pressure pump, a key equipment in the high-pressure external transmission unit, as an example based on historical valid big data, a prediction model is established using the neural network method in artificial intelligence algorithms. The functional expression of the relationship between the inlet and outlet pressures and flow rate of the LNG high-pressure pump and its energy consumption, i.e., power consumption, using a BP neural network can be expressed by the following formula.

[0080] e HP,YC = f(p HP,in , p HP,out , m HP );

[0081] Among them, e HP,YC is the predicted value of the power consumption for the high-pressure pump to process 10,000 cubic meters of natural gas, with the unit of kW·h / 10 4 Nm 3 ; p HP,in , p HP,out are the pressures of LNG at the inlet and outlet of the high-pressure pump respectively, with the unit of kPa; m HP is the flow rate of the LNG high-pressure pump, with the unit of 10 4 Nm 3 / h.

[0082] Figure 3 is the comparison between the predicted value and the actual value of the unit energy consumption of the LNG high-pressure pump. Figure 4 is the distribution of the relative error of the unit energy consumption prediction model of the LNG high-pressure pump.

[0083] 7. Using the intelligent optimization algorithm, the particle swarm optimization algorithm, a three-level energy efficiency optimization model is established. For example, an unit-level energy efficiency optimization model is established for the key parameters of the high-pressure external transmission unit, namely the gaseous external output and the external transmission pressure, and the energy consumption per unit of external output, an energy efficiency evaluation indicator. The benchmark value, i.e., the optimal value of energy consumption, of the energy efficiency evaluation indicator of energy consumption per unit of external output under the same working conditions as the three-level energy efficiency evaluation system is calculated. The basic function of the unit-level energy efficiency optimization model is shown in the following formula:

[0084]

[0085] In the unit-level energy efficiency optimization model, the parallel pumps need to satisfy the mass conservation, i.e., the flow rate constraint. For example, the flow rate of each LNG high-pressure pump should be within the allowable range, and the total flow rate of each LNG high-pressure pump should meet the needs of LNG gasification and external transmission. Under this condition, the flow rate m constraint and the pressure P constraint of the pump unit can be expressed by the following formula.

[0086]

[0087] Through the three-level energy efficiency optimization model, the optimal energy consumption value for the high-pressure external transmission unit to process per unit of external output can be obtained. Figure 5The optimal values and historical operation values of the energy consumption per unit of external output, which is the energy efficiency evaluation index of the high-pressure external transmission unit calculated by the three-level energy efficiency optimization model under different working conditions. Among them, the curved surface is the energy consumption benchmark value per unit of external output, that is, the optimal energy consumption after optimization, and each point is the historical operation value. The vertical distance between the two is the energy-saving potential.

[0088] Based on the above method for determining the energy efficiency level of the LNG receiving station, this specification also presents an embodiment of the device for determining the energy efficiency level of the LNG receiving station. As Figure 6 shown, the evaluation device may specifically include the following modules:

[0089] A building module 601, which can be used to establish a three-level energy efficiency evaluation system for the LNG receiving station according to the historical operation parameters of the LNG receiving station under each working condition; the three-level energy efficiency evaluation system includes equipment energy efficiency evaluation criteria, unit energy efficiency evaluation criteria, and system energy efficiency evaluation criteria.

[0090] A construction module 602, which can be used to construct a three-level energy efficiency prediction model for the LNG receiving station under each working condition.

[0091] An optimization module 603, which can be used to optimize the three-level energy efficiency levels corresponding to the three-level energy efficiency evaluation system of the LNG receiving station under each working condition based on the three-level energy efficiency prediction model; the three-level energy efficiency levels include equipment energy efficiency level, unit energy efficiency level, and system energy efficiency level.

[0092] In some embodiments, the above building module 601 may specifically be used to divide the operating conditions of the LNG receiving station according to the uncontrollable operating parameters in the historical operating parameters.

[0093] In some embodiments, the above building module 601 may specifically be further used to determine the three-level energy efficiency evaluation indexes of the LNG receiving station under each working condition according to the historical operation parameters of the LNG receiving station under each working condition; and establish a three-level energy efficiency evaluation system for the LNG receiving station under each working condition according to the historical operation parameters and three-level energy efficiency evaluation indexes of the LNG receiving station under each working condition.

[0094] In some embodiments, the above building module 601 may specifically be further used to determine the equipment energy efficiency evaluation indexes according to the historical operation parameters and equipment operation mechanism of the LNG receiving station under each working condition; determine the unit energy efficiency evaluation indexes according to the historical operation parameters and unit operation mechanism of the LNG receiving station under each working condition; and determine the system energy efficiency evaluation indexes according to the historical operation parameters and system operation mechanism of the LNG receiving station under each working condition.

[0095] In some embodiments, the above-mentioned construction module 602 may specifically be used to determine the historical energy efficiency level of the LNG receiving terminal under each working condition by using the three-level energy efficiency evaluation system according to the historical operation parameters of the LNG receiving terminal equipment; the historical energy efficiency level includes the equipment historical energy efficiency level, the unit historical energy efficiency level, and the system historical energy efficiency level.

[0096] In some embodiments, the above-mentioned construction module 602 may also specifically be used to determine the historical energy efficiency level of the LNG receiving terminal under each working condition by using the three-level energy efficiency evaluation system according to the historical operation parameters of the LNG receiving terminal equipment; the historical energy efficiency level includes the equipment historical energy efficiency level, the unit historical energy efficiency level, and the system historical energy efficiency level.

[0097] In some embodiments, the above-mentioned optimization module 603 may specifically be used to construct a three-level energy efficiency optimization model for the LNG receiving terminal under each working condition based on the three-level energy efficiency prediction model of the LNG receiving terminal under each working condition.

[0098] In some embodiments, the above-mentioned optimization module 603 may also specifically be used to determine the operating range of the controllable operating parameters in the historical operation parameters; construct an equipment energy efficiency optimization function, a unit energy efficiency optimization function, and a system energy efficiency optimization function in sequence according to the operating range of the controllable operating parameters and the three-level energy efficiency prediction model of the LNG receiving terminal under each working condition; constrain the equipment energy efficiency optimization function, the unit energy efficiency optimization function, and the system energy efficiency optimization function according to the uncontrollable operating parameters to generate a three-level energy efficiency optimization function under each working condition; minimize the three-level energy efficiency optimization function based on the three-level energy efficiency optimization model under each working condition to obtain an optimized value of the three-level energy efficiency level; optimize the three-level energy efficiency level corresponding to the three-level energy efficiency evaluation system of the LNG receiving terminal under each working condition according to the optimized value of the three-level energy efficiency level.

[0099] It should be noted that the units, devices, or modules described in the above embodiments may specifically be implemented by computer chips or entities, or by products with certain functions. For the convenience of description, the above devices are described by dividing them into various modules according to their functions. Of course, when implementing this specification, the functions of each module may be implemented in the same or multiple software and / or hardware, or the modules implementing the same function may be realized by a combination of multiple sub-modules or sub-units, etc. The device embodiments described above are only illustrative. For example, the division of the units is only a logical function division, and there may be other division methods in actual implementation. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Another point is that the couplings or direct couplings or communication connections shown or discussed with each other may be through some interfaces, and the indirect couplings or communication connections of the devices or units may be in electrical, mechanical, or other forms.

[0100] As can be seen from the above, based on the energy efficiency level determination device of the LNG receiving terminal provided in the embodiments of this specification, a three-level energy efficiency evaluation system of the LNG receiving terminal can be established according to the historical operation parameters of the LNG receiving terminal under each working condition; the three-level energy efficiency evaluation system includes an equipment energy efficiency evaluation criterion, a unit energy efficiency evaluation criterion, and a system energy efficiency evaluation criterion; a three-level energy efficiency prediction model of the LNG receiving terminal under each working condition is constructed; based on the three-level energy efficiency prediction model, the three-level energy efficiency level corresponding to the three-level energy efficiency evaluation system of the LNG receiving terminal under each working condition is optimized; the three-level energy efficiency level includes an equipment energy efficiency level, a unit energy efficiency level, and a system energy efficiency level. Based on the energy efficiency level determination device of the LNG receiving terminal provided in the embodiments of this specification, the energy consumption weak links in the LNG receiving terminal can be positioned more comprehensively, scientifically, and effectively, and an optimized process and key equipment control strategy can be formed to optimize the operation energy efficiency level of the LNG receiving terminal.

[0101] The embodiments of this specification also provide a computer device for the energy efficiency level determination method of an LNG receiving terminal, including a processor and a memory for storing processor-executable instructions. When specifically implemented, the processor can execute the following steps according to the instructions:

[0102] In order to be able to more accurately complete the above instructions, refer to Figure 7 As shown, the embodiments of this specification also provide another specific computer device 700. Among them, the computer device 700 includes a network communication port 701, a processor 702, and a memory 703. The above structures are connected by internal cables so that each structure can perform specific data interactions.

[0103] The processor 702 can specifically be used to establish a three-level energy efficiency evaluation system of the LNG receiving terminal according to the historical operation parameters of the LNG receiving terminal under each working condition; the three-level energy efficiency evaluation system includes an equipment energy efficiency evaluation criterion, a unit energy efficiency evaluation criterion, and a system energy efficiency evaluation criterion; construct a three-level energy efficiency prediction model of the LNG receiving terminal under each working condition; based on the three-level energy efficiency prediction model, optimize the three-level energy efficiency level corresponding to the three-level energy efficiency evaluation system of the LNG receiving terminal under each working condition; the three-level energy efficiency level includes an equipment energy efficiency level, a unit energy efficiency level, and a system energy efficiency level.

[0104] The memory 703 can specifically be used to store the corresponding instruction programs.

[0105] In this embodiment, the network communication port 701 can be bound to different communication protocols, so as to send or receive different data as a virtual port. For example, the network communication port can be a port responsible for web data communication, or a port responsible for FTP data communication, or a port responsible for mail data communication. In addition, the network communication port can also be a physical communication interface or communication chip. For example, it can be a wireless mobile network communication chip, such as GSM, CDMA, etc.; it can also be a Wifi chip; it can also be a Bluetooth chip.

[0106] In this embodiment, the processor 702 can be implemented in any suitable manner. For example, the processor can take the form of, for example, a microprocessor or a processor and a computer-readable medium storing computer-readable program code (such as software or firmware) executable by the (micro)processor, logic gates, switches, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, and an embedded microcontroller, etc. This specification does not make any limitations.

[0107] In this embodiment, the memory 703 can include multiple levels. In a digital system, anything that can store binary data can be a memory; in an integrated circuit, a circuit with a storage function without a physical form is also called a memory, such as RAM, FIFO, etc.; in a system, a storage device with a physical form is also called a memory, such as a memory stick, a TF card, etc.

[0108] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memories, CD-ROMs, optical memories, etc.) containing computer-usable program code.

[0109] The present invention is described with reference to the flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of flows and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate for implementing in the process Figure 1 a single process or multiple processes and / or blocksFigure 1 a device for the functions specified in one or more boxes

[0110] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured article including an instruction device, and the instruction device implements the functions specified in the process Figure 1 one process or more processes and / or boxes Figure 1 a function specified in one or more boxes

[0111] These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process. Therefore, the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in the process Figure 1 one process or more processes and / or boxes Figure 1 a function specified in one or more boxes

[0112] In the specific embodiments described above, the purpose, technical solution, and beneficial effects of the present invention have been further described in detail. It should be understood that the above are only specific embodiments of the present invention and are not used to limit the protection scope of the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for determining the energy efficiency level of an LNG receiving terminal, characterized in that Including: Establish a three - level energy efficiency evaluation system for the LNG receiving terminal according to the historical operation parameters of the LNG receiving terminal under each working condition; the three - level energy efficiency evaluation system includes an equipment energy efficiency evaluation criterion, a unit energy efficiency evaluation criterion, and a system energy efficiency evaluation criterion; Construct a three - level energy efficiency prediction model for the LNG receiving terminal under each working condition; Based on the three - level energy efficiency prediction model, optimize the three - level energy efficiency levels corresponding to the three - level energy efficiency evaluation system of the LNG receiving terminal under each working condition; the three - level energy efficiency levels include equipment energy efficiency level, unit energy efficiency level, and system energy efficiency level.

2. The method according to claim 1, wherein The method further includes: Divide the operating conditions of the LNG receiving terminal according to the uncontrollable operating parameters in the historical operation parameters.

3. The method according to claim 1, wherein The establishing of a three - level energy efficiency evaluation system for the LNG receiving terminal according to the historical operation parameters of the LNG receiving terminal under each working condition includes: Determine the three - level energy efficiency evaluation indicators of the LNG receiving terminal under each working condition according to the historical operation parameters of the LNG receiving terminal under each working condition; Establish a three - level energy efficiency evaluation system for the LNG receiving terminal under each working condition according to the historical operation parameters of the LNG receiving terminal under each working condition and the three - level energy efficiency evaluation indicators.

4. The method according to claim 3, wherein The three - level energy efficiency evaluation indicators include equipment energy efficiency evaluation indicators, unit energy efficiency evaluation indicators, and system energy efficiency evaluation indicators; The determining of the three - level energy efficiency evaluation indicators of the LNG receiving terminal under each working condition according to the historical operation parameters of the LNG receiving terminal under each working condition includes: Determine the equipment energy efficiency evaluation indicators according to the historical operation parameters of the LNG receiving terminal under each working condition and the equipment operation mechanism; Determine the unit energy efficiency evaluation indicators according to the historical operation parameters of the LNG receiving terminal under each working condition and the unit operation mechanism; Determine the system energy efficiency evaluation indicators according to the historical operation parameters of the LNG receiving terminal under each working condition and the system operation mechanism.

5. The method according to claim 1, wherein The method further includes: Determine the historical energy efficiency levels of the LNG receiving terminal under each working condition using the three - level energy efficiency evaluation system according to the historical operation parameters of the LNG receiving terminal equipment; the historical energy efficiency levels include equipment historical energy efficiency level, unit historical energy efficiency level, and system historical energy efficiency level.

6. The method according to claim 5, characterized in that, The constructing of a three - level energy efficiency prediction model for the LNG receiving terminal under each working condition includes: Construct a three - level energy efficiency prediction model for the LNG receiving terminal under each working condition according to the historical operation parameters of the LNG receiving terminal equipment and the historical energy efficiency levels of the LNG receiving terminal.

7. The method according to claim 1, characterized in that, The method further includes: Construct a three - level energy efficiency optimization model for the LNG receiving terminal under each working condition based on the three - level energy efficiency prediction model of the LNG receiving terminal under each working condition.

8. The method according to claim 7, wherein The optimizing of the three - level energy efficiency levels corresponding to the three - level energy efficiency evaluation system of the LNG receiving terminal under each working condition based on the three - level energy efficiency prediction model includes: Determine the operating ranges of the controllable operating parameters in the historical operation parameters; According to the operating ranges of the controllable operating parameters and the three - level energy efficiency prediction model of the LNG receiving terminal under each working condition, successively construct an equipment energy efficiency optimization function, a unit energy efficiency optimization function, and a system energy efficiency optimization function; According to the uncontrollable operating parameters in the historical operating parameters, constrain the equipment energy efficiency optimization function, unit energy efficiency optimization function, and system energy efficiency optimization function to generate a three-level energy efficiency optimization function for each working condition; Based on the three-level energy efficiency optimization model for each working condition, minimize the three-level energy efficiency optimization function to obtain the optimized value of the three-level energy efficiency level; According to the optimized value of the three-level energy efficiency level, optimize the three-level energy efficiency level corresponding to the three-level energy efficiency evaluation system of the LNG receiving station under each working condition.

9. An energy efficiency level determination device for an LNG receiving terminal, characterized in that, The device includes: A building module, configured to build a three-level energy efficiency evaluation system for the LNG receiving station according to the historical operating parameters of the LNG receiving station under each working condition; the three-level energy efficiency evaluation system includes an equipment energy efficiency evaluation criterion, a unit energy efficiency evaluation criterion, and a system energy efficiency evaluation criterion; A construction module, configured to construct a three-level energy efficiency prediction model for the LNG receiving station under each working condition; An optimization module, configured to optimize the three-level energy efficiency level corresponding to the three-level energy efficiency evaluation system of the LNG receiving station under each working condition based on the three-level energy efficiency prediction model; the three-level energy efficiency level includes an equipment energy efficiency level, a unit energy efficiency level, and a system energy efficiency level.

10. A computer device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the computer program, the method described in any one of claims 1-8 is implemented.

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