Model selection optimization method and device for fused salt pump of high-temperature fused salt heat storage tank

Abstract

The invention relates to a model selection optimization method and device for a fused salt pump of a high-temperature fused salt heat storage tank, and the method comprises the steps: obtaining the physicochemical property data of fused salt, analyzing the structural parameters of the heat storage tank, and determining the operation condition of a heat storage system; establishing a multi-objective optimization function of the fused salt pump of the high-temperature fused salt heat storage tank by utilizing a pre-established fused salt pump performance calculation model according to optimization objectives of the performance, the operation energy consumption, the equipment cost and the reliability of the fused salt pump of the high-temperature fused salt heat storage tank; according to the constraint condition of the fused salt pump of the high-temperature fused salt heat storage tank, a fused salt pump type selection scheme, meeting the preset optimal condition, of the fused salt pump of the high-temperature fused salt heat storage tank is generated, and according to the fused salt pump type selection scheme, the fused salt pump type selection, meeting the preset optimal condition, of the fused salt pump of the high-temperature fused salt heat storage tank is determined. According to the method, the defects of an existing model selection method are overcome, powerful support is provided for development of the high-temperature molten salt heat storage technology, and the method has wide application prospects in the fields of renewable energy storage, industrial waste heat recovery and the like.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of high-temperature molten salt heat storage, and in particular to a selection optimization method and device for a molten salt pump of a high-temperature molten salt heat storage tank. BACKGROUND

[0002] With the growing demand for clean energy worldwide, large-scale development and utilization of renewable energy such as solar thermal power generation and wind power have become a trend. High-temperature molten salt heat storage technology, as an effective energy storage method, has important significance in improving energy utilization efficiency and ensuring energy supply stability. Molten salt has high heat capacity, wide working temperature range, low vapor pressure and other advantages, making it an ideal energy storage medium. At present, high-temperature molten salt heat storage technology has been widely researched and applied at home and abroad, but still faces some technical challenges. The molten salt pump is one of the core equipment in the high-temperature molten salt heat storage tank, and its main function is to drive the molten salt to circulate in the system during heat storage and heat release, ensuring the effective transfer of heat. The performance of the molten salt pump directly affects the efficiency, reliability and safety of the heat storage system. For example, in solar thermal power generation, the molten salt pump needs to transport cold molten salt from the low-temperature storage tank to the solar collector for heating, then transport hot molten salt back to the high-temperature storage tank to store heat, and then transport high-temperature molten salt to the steam generator to generate steam to drive the steam turbine to generate electricity. If the molten salt pump is not properly selected, it may cause insufficient flow, insufficient head, severe corrosion and wear of the pump body, and other problems, thereby affecting the normal operation of the entire heat storage system.

[0003] In related technologies, the selection of the molten salt pump mainly depends on empirical formula calculation and simple performance parameter comparison.

[0004] However, the related technologies do not fully consider the influence of the special physical and chemical properties of the molten salt (such as viscosity change at high temperature, corrosiveness, etc.) on the pump performance, ignore the flow characteristics of the molten salt in the heat storage tank (such as flow state distribution, temperature stratification, etc.) and the requirements of different operating conditions (such as start-up, stable operation, shutdown, etc.) on the selection of the pump, which may lead to the selected molten salt pump not achieving the best performance in actual operation, increasing system energy consumption, reducing equipment life, and even causing safety accidents, which needs to be improved. SUMMARY

[0005] The application provides a selection optimization method and device for a molten salt pump of a high-temperature molten salt heat storage tank to solve the problems that the related technologies do not fully consider the influence of the special physical and chemical properties of the molten salt on the pump performance, ignore the flow characteristics of the molten salt in the heat storage tank and the requirements of different operating conditions on the selection of the pump, which may lead to the selected molten salt pump not achieving the best performance in actual operation, increasing system energy consumption, reducing equipment life, and even causing safety accidents.

[0006] The first aspect embodiment of the application provides a selection optimization method of a high-temperature molten salt heat storage tank molten salt pump, comprising the following steps: obtaining physical and chemical property data of molten salt, analyzing structure parameters of a heat storage tank and determining operating conditions of a heat storage system; based on the physical and chemical property data of the molten salt, the structure parameters of the heat storage tank and the operating conditions of the heat storage system, a pre-constructed molten salt pump performance calculation model is used to establish a multi-objective optimization function of the high-temperature molten salt heat storage tank molten salt pump according to optimization objectives of performance, operating energy consumption, equipment cost and reliability of the high-temperature molten salt heat storage tank molten salt pump; according to a working temperature range, corrosion resistance performance requirements, heat storage tank structure and preset installation space limitation requirements in the constraint conditions of the high-temperature molten salt heat storage tank molten salt pump, the multi-objective optimization function is solved to generate a molten salt pump selection scheme of the high-temperature molten salt heat storage tank molten salt pump meeting preset optimal conditions, and the molten salt pump selection scheme of the high-temperature molten salt heat storage tank molten salt pump meeting the preset optimal conditions is determined.

[0007] Optionally, in an embodiment of the application, the obtaining physical and chemical property data of molten salt, analyzing structure parameters of a heat storage tank and determining operating conditions of a heat storage system comprises: obtaining at least one physical and chemical property data of density, viscosity, specific heat capacity, thermal conductivity, corrosive component and content of the molten salt at different temperatures; analyzing at least one structure parameter of shape, size, inlet and outlet position, temperature distribution and flow state characteristics of the heat storage tank; based on flow demand, head requirement and operating time parameters at different stages, the operating conditions of the heat storage system are determined according to design objectives and actual application scenarios of the heat storage system.

[0008] Optionally, in an embodiment of the application, before the pre-constructed molten salt pump performance calculation model is used to establish a multi-objective optimization function of the high-temperature molten salt heat storage tank molten salt pump according to optimization objectives of performance, operating energy consumption, equipment cost and reliability of the high-temperature molten salt heat storage tank molten salt pump, it further comprises: calculating the head, flow and efficiency of the high-temperature molten salt heat storage tank molten salt pump by using a preset fluid mechanics formula, and adjusting a theoretical performance curve of the high-temperature molten salt heat storage tank molten salt pump according to a preset viscosity correction coefficient based on the head, flow and efficiency of the molten salt pump to generate adjustment data; based on the adjustment data, the inlet position and suction condition of the high-temperature molten salt heat storage tank molten salt pump are determined according to the flow state distribution in the heat storage tank, and based on the inlet position and the suction condition, the density variation of the molten salt at different heights is calculated according to the temperature stratification to determine the head requirement of the high-temperature molten salt heat storage tank molten salt pump according to the density variation; based on the head requirement of the high-temperature molten salt heat storage tank molten salt pump and operating condition parameters of the heat storage system, the pre-constructed molten salt pump performance calculation model is established.

[0009] Optionally, in an embodiment of the present application, the performance calculation model of the molten salt pump is pre-constructed, and a multi-objective optimization function of the high-temperature molten salt heat storage tank molten salt pump is established according to optimization objectives of performance, operating energy consumption, equipment cost and reliability of the high-temperature molten salt heat storage tank molten salt pump, including: determining the optimization objectives of the high-temperature molten salt heat storage tank molten salt pump based on the head, flow rate fullness, operating energy consumption, equipment cost and reliability of the high-temperature molten salt heat storage tank molten salt pump; and combining multiple objective functions into the multi-objective optimization function of the high-temperature molten salt heat storage tank molten salt pump based on the optimization objectives.

[0010] Optionally, in an embodiment of the present application, after the molten salt pump type meeting the preset optimal condition of the high-temperature molten salt heat storage tank molten salt pump is determined according to the molten salt pump selection scheme, the method further includes: comparing actual operating data of the molten salt pump selection with theoretical performance calculation results to generate comparison data, and analyzing dynamic response characteristics of the molten salt pump under different working conditions to generate characteristic analysis results; evaluating the molten salt pump type meeting the preset optimal condition according to the comparison data and the characteristic analysis results to generate evaluation results, and optimizing and adjusting the rotation speed and the inlet and outlet valve opening degree of the high-temperature molten salt heat storage tank molten salt pump according to the evaluation results.

[0011] The second aspect embodiment of the present application provides a molten salt pump selection optimization device for a high-temperature molten salt heat storage tank, including: an acquisition module configured to acquire physical and chemical property data of molten salt, analyze structural parameters of a heat storage tank and determine operating conditions of a heat storage system; an establishment module configured to, based on the physical and chemical property data of the molten salt, the structural parameters of the heat storage tank and the operating conditions of the heat storage system, utilize a pre-constructed molten salt pump performance calculation model to establish a multi-objective optimization function of a high-temperature molten salt heat storage tank molten salt pump according to optimization objectives of performance, operating energy consumption, equipment cost and reliability of the high-temperature molten salt heat storage tank molten salt pump; and an optimization module configured to solve the multi-objective optimization function according to a working temperature range, corrosion resistance performance requirement, heat storage tank structure and preset installation space limitation requirement in constraint conditions of the high-temperature molten salt heat storage tank molten salt pump, to generate a molten salt pump selection scheme meeting preset optimal conditions of the high-temperature molten salt heat storage tank molten salt pump, and determine a molten salt pump type meeting preset optimal conditions of the high-temperature molten salt heat storage tank molten salt pump according to the molten salt pump selection scheme.

[0012] Optionally, in an embodiment of the present application, the obtaining module comprises: an obtaining unit, configured to obtain at least one physical and chemical property data of the molten salt at different temperatures, including density, viscosity, specific heat capacity, thermal conductivity coefficient, corrosive component and content data; an analyzing unit, configured to analyze at least one structure parameter of the thermal storage tank, including shape, size, inlet and outlet position, temperature distribution and flow state characteristics; and a determining unit, configured to determine the operating condition of the thermal storage system based on the design target and actual application scenario of the thermal storage system according to flow demand, head requirement and operation time parameter at different stages.

[0013] Optionally, in an embodiment of the present application, the method further comprises: an adjusting module, configured to, before establishing the multi-objective optimization function of the high-temperature molten salt thermal storage tank molten salt pump according to the optimization target of performance, operating energy consumption, equipment cost and reliability of the high-temperature molten salt thermal storage tank molten salt pump by using the pre-constructed molten salt pump performance calculation model, calculate the head, flow and efficiency of the high-temperature molten salt thermal storage tank molten salt pump by using a preset fluid mechanics formula, and adjust the theoretical performance curve of the high-temperature molten salt thermal storage tank molten salt pump according to a preset viscosity correction coefficient based on the head, flow and efficiency of the molten salt pump to generate adjustment data; a calculation module, configured to determine the inlet position and suction condition of the high-temperature molten salt thermal storage tank molten salt pump according to the flow state distribution in the thermal storage tank based on the adjustment data, and calculate the density variation of the molten salt at different heights according to temperature stratification based on the inlet position and the suction condition to determine the head requirement of the high-temperature molten salt thermal storage tank molten salt pump according to the density variation; and a model establishing module, configured to establish the pre-constructed molten salt pump performance calculation model based on the head requirement of the high-temperature molten salt thermal storage tank molten salt pump and the operating condition parameter of the thermal storage system.

[0014] Optionally, in an embodiment of the present application, the establishing module comprises: a target determining unit, configured to determine the optimization target of the high-temperature molten salt thermal storage tank molten salt pump based on the head, flow satisfaction degree, operating energy consumption, equipment cost and reliability of the high-temperature molten salt thermal storage tank molten salt pump; and a combination unit, configured to combine multiple objective functions into the multi-objective optimization function of the high-temperature molten salt thermal storage tank molten salt pump based on the optimization target.

[0015] Optionally, in an embodiment of the present application, further comprising: a comparison module, configured to compare actual operation data of the molten salt pump selection with theoretical performance calculation results to generate comparison data, and analyze dynamic response characteristics of the molten salt pump under different working conditions to generate characteristic analysis results, after determining the molten salt pump selection satisfying the preset optimal condition according to the high-temperature molten salt tank molten salt pump selection scheme; and an evaluation module, configured to evaluate the molten salt pump selection satisfying the preset optimal condition according to the comparison data and the characteristic analysis results to generate an evaluation result, and optimize and adjust the rotation speed and the inlet and outlet valve opening degree of the high-temperature molten salt tank molten salt pump according to the evaluation result.

[0016] The third aspect of the present application provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the high-temperature molten salt tank molten salt pump selection optimization method according to the above embodiments.

[0017] The fourth aspect of the present application provides a computer readable storage medium, which stores a computer program executable by a processor to implement the high-temperature molten salt tank molten salt pump selection optimization method according to the above embodiments.

[0018] The embodiments of the present application can select the most suitable molten salt pump for the operation requirements of the high-temperature molten salt tank by comprehensively considering various key factors, accurate calculation and analysis, thereby improving the overall performance, reliability and economy of the heat storage system. Thus, the problems of the related art that the special physical and chemical properties of molten salt are not fully considered to affect the performance of the pump, the flow characteristics of molten salt in the heat storage tank and the requirements of different operating conditions for pump selection are ignored, which may result in that the selected molten salt pump cannot achieve the best performance in actual operation, increase the system energy consumption, reduce the equipment life, even cause safety accidents and other problems are solved.

[0019] Additional aspects and advantages of the present application will be made apparent by the following description and the accompanying drawings. BRIEF DESCRIPTION OF DRAWINGS

[0020] The above and / or additional aspects and advantages of the present application will become apparent and be readily understood from the following description, taken in conjunction with the accompanying drawings, in which: Figure 1 A flowchart of a high-temperature molten salt tank molten salt pump selection optimization method according to an embodiment of the present application is shown in FIG. 1; Figure 2 A high-temperature molten salt heat storage system structure according to an embodiment of the present application is shown in FIG. 2; Figure 3A structural schematic diagram of a type selection and optimization device of a warm molten salt heat storage tank molten salt pump provided according to an embodiment of the present application is provided. Figure 4 A structural schematic diagram of an electronic device provided according to an embodiment of the present application is provided. DETAILED DESCRIPTION

[0021] Embodiments of the present application are described in detail below, examples of which are shown in the accompanying drawings, in which the same or similar reference numerals represent the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the accompanying drawings are exemplary and are intended to explain the present application, and cannot be understood as a limitation of the present application.

[0022] A type selection and optimization method and device of a warm molten salt heat storage tank molten salt pump according to an embodiment of the present application are described below with reference to the accompanying drawings. The related art mentioned in the background art does not fully consider the influence of the special physical and chemical properties of molten salt on the performance of the pump, ignores the flow characteristics of molten salt in the heat storage tank and the requirements of different operating conditions on the selection of the pump, and these deficiencies may lead to the problem that the selected molten salt pump cannot achieve the best performance in actual operation, increases the system energy consumption, reduces the equipment life, and even causes safety accidents. The present application provides a type selection and optimization method of a warm molten salt heat storage tank molten salt pump, in which the most suitable molten salt pump for the operating requirements of a high-temperature molten salt heat storage tank can be selected by comprehensively considering a plurality of key factors, accurate calculation and analysis, thereby improving the overall performance, reliability and economy of the heat storage system. Thus, the related art does not fully consider the influence of the special physical and chemical properties of molten salt on the performance of the pump, ignores the flow characteristics of molten salt in the heat storage tank and the requirements of different operating conditions on the selection of the pump, and these deficiencies may lead to the problem that the selected molten salt pump cannot achieve the best performance in actual operation, increases the system energy consumption, reduces the equipment life, and even causes safety accidents.

[0023] Specifically, Figure 1 A flowchart of a type selection and optimization method of a warm molten salt heat storage tank molten salt pump provided by an embodiment of the present application is provided.

[0024] As Figure 1 shown, the type selection and optimization method of the warm molten salt heat storage tank molten salt pump includes the following steps: In step S101, the physical and chemical property data of the molten salt is obtained, the structural parameters of the heat storage tank are analyzed, and the operating conditions of the heat storage system are determined.

[0025] In the application, comprehensive data acquisition and preprocessing can be performed, including obtaining molten salt characteristics, storage tank structure and working conditions, and molten salt pump performance data, collecting physical and chemical property data of molten salt, analyzing structural parameters of the storage tank, determining the operating conditions of the heat storage system, thereby optimizing the overall performance of the heat storage system, improving energy conversion efficiency, reducing energy loss, and enabling the heat storage system to operate stably and efficiently under various complex conditions.

[0026] Optionally, in an embodiment of the application, the physical and chemical property data of the molten salt, the structural parameters of the heat storage tank, and the operating conditions of the heat storage system are obtained, including: obtaining at least one of the physical and chemical property data of the molten salt at different temperatures, such as density, viscosity, specific heat capacity, thermal conductivity, corrosive component and content data; analyzing at least one of the structural parameters of the heat storage tank, such as shape, size, inlet and outlet position, temperature distribution and flow state characteristics; determining the operating conditions of the heat storage system based on the flow demand, head requirement and operating time parameters of different stages, according to the design target and actual application scenario of the heat storage system.

[0027] It can be understood that for a specific high-temperature molten salt heat storage project, a specific molten salt system (such as binary nitrate molten salt or ternary chlorate molten salt) can be selected, and the physical and chemical properties of the molten salt can be accurately measured at different temperature gradients by using professional experimental equipment and testing methods. For example, the viscosity of the molten salt at every 50℃ temperature point from 200℃ to 550℃ is measured by using a rotary viscometer, the density at the corresponding temperature is measured by using a densimeter, and the content of corrosive impurities in the molten salt is measured by using a chemical analysis method. These measured data are arranged in a database format for subsequent selection and calculation.

[0028] According to the design drawings of the heat storage tank, the structural parameters of the heat storage tank are determined, including the diameter and height of the tank body, the diameter and position of the inlet and outlet pipes, etc. A three-dimensional model of the heat storage tank is established by using CFD software, boundary conditions (such as wall temperature, inlet and outlet flow and temperature, etc.) are set, simulation calculation is performed, and data such as temperature distribution, flow velocity distribution and pressure distribution of the molten salt in the tank under different working conditions are obtained.

[0029] Further, the operating condition parameters are determined in combination with the application requirements of the heat storage system. For example, in a solar thermal power generation heat storage system, the maximum flow demand and head requirement of the molten salt during the charging process are calculated according to the power demand and the area of the heat collector; during the discharging process, the flow and head requirements of the molten salt are determined according to the working pressure and temperature of the steam generator. At the same time, the duration, cycle number and other operating time parameters of the heat storage and discharging processes are determined.

[0030] Specifically, embodiments of this application can perform data acquisition and analysis, collecting physicochemical property data of molten salt, including density, viscosity, specific heat capacity, thermal conductivity, etc. at different temperatures, as well as the corrosive components and degree of molten salt; embodiments of this application can analyze the structural parameters of the thermal storage tank, such as the shape, size, inlet and outlet positions of the thermal storage tank, as well as the temperature distribution and flow characteristics inside the thermal storage tank. Computational fluid dynamics (CFD) simulation methods can be used to simulate and analyze the molten salt flow inside the thermal storage tank, obtaining distribution data of flow velocity, pressure, temperature, etc. under different operating conditions; embodiments of this application can determine the operating conditions of the thermal storage system, including parameters such as flow rate requirements, head requirements, and operating time at different stages (such as heat charging, heat storage, heat release, etc.). These parameters can be determined according to the design goals of the thermal storage system and the actual application scenario.

[0031] The embodiments of this application can effectively extend the service life of equipment. Reasonable selection can avoid premature damage to molten salt pumps due to overload, cavitation, corrosion and other problems during operation, extend the service life of the pump, reduce the frequency of equipment replacement, improve the reliability and stability of the thermal storage system, reduce economic losses caused by equipment maintenance and downtime, and improve the safety and reliability of the system. Considering the corrosiveness and high temperature characteristics of molten salt and the operating conditions of the thermal storage tank, the selected molten salt pump can operate under safe and reliable conditions, reduce the risk of safety accidents caused by equipment failure, ensure the safe operation of the thermal storage system, and facilitate the widespread application of high temperature molten salt thermal storage technology in the industrial field.

[0032] In step S102, based on the physicochemical properties of the molten salt, the structural parameters of the thermal storage tank, and the operating conditions of the thermal storage system, a multi-objective optimization function for the molten salt pump of the high-temperature molten salt thermal storage tank is established using a pre-built molten salt pump performance calculation model according to the optimization objectives of the molten salt pump performance, operating energy consumption, equipment cost, and reliability of the high-temperature molten salt thermal storage tank.

[0033] In actual implementation, the embodiments of this application can, based on the physicochemical properties of molten salt, the structural parameters of the thermal storage tank, and the operating conditions of the thermal storage system, utilize a molten salt pump performance calculation model. With the performance, operating energy consumption, equipment cost, and reliability of the molten salt pump in the high-temperature molten salt thermal storage tank as optimization objectives, a multi-objective optimization function for the molten salt pump in the high-temperature molten salt thermal storage tank is established. By comprehensively considering various key factors, accurately calculating and analyzing, this application selects the molten salt pump most suitable for the operating requirements of the high-temperature molten salt thermal storage tank, thereby improving the overall performance, reliability, and economy of the thermal storage system.

[0034] Optionally, in one embodiment of this application, before establishing a multi-objective optimization function for the molten salt pump in a high-temperature molten salt storage tank based on the optimization objectives of performance, operating energy consumption, equipment cost, and reliability using a pre-built molten salt pump performance calculation model, the method further includes: calculating the head, flow rate, and efficiency of the molten salt pump in a high-temperature molten salt storage tank using a preset fluid dynamics formula; adjusting the theoretical performance curve of the molten salt pump in a high-temperature molten salt storage tank based on the head, flow rate, and efficiency of the molten salt pump according to a preset viscosity correction coefficient to generate adjustment data; determining the inlet position and suction conditions of the molten salt pump in a high-temperature molten salt storage tank based on the flow distribution within the storage tank based on the adjustment data; calculating the density change of molten salt at different heights based on the inlet position and suction conditions according to the temperature stratification, so as to determine the head requirement of the molten salt pump in a high-temperature molten salt storage tank based on the density change; and establishing a pre-built molten salt pump performance calculation model based on the head requirement of the molten salt pump in a high-temperature molten salt storage tank and the operating parameters of the thermal storage system.

[0035] It is understood that the head, flow rate, and efficiency of the molten salt pump in the high-temperature molten salt thermal storage tank in this embodiment correspond to the molten salt pump head calculation model, the molten salt pump flow rate calculation model, and the molten salt pump efficiency calculation model. The viscosity correction coefficient and density correction coefficient introduced in the molten salt pump head calculation model can be determined by experiment or theoretical derivation. The molten salt pump flow rate calculation model is corrected by considering the compressibility of molten salt and the influence of temperature on volumetric flow rate. The molten salt pump efficiency calculation model determines the coefficients by combining experimental data fitting and theoretical analysis.

[0036] In practical implementation, the embodiments of this application can consider the influence of the special properties of molten salt on head, flow rate, and efficiency, and construct an accurate molten salt pump performance calculation model: Based on the collected data, a performance calculation model of the molten salt pump is established. This model considers the influence of the physicochemical properties of molten salt on pump performance, such as using a modified fluid dynamics formula to calculate the pump's head, flow rate, and efficiency. For the influence of molten salt viscosity on pump performance, a viscosity correction coefficient is introduced to adjust the pump's theoretical performance curve. The model considers the influence of the flow characteristics of molten salt in the thermal storage tank on pump selection. For example, the pump's inlet position and suction conditions are determined based on the flow distribution in the tank to avoid suction vortices and cavitation. Based on the temperature stratification, the density change of molten salt at different heights is calculated to determine the pump's head requirement. Combined with operating condition parameters, a pump operating energy consumption calculation model is established, considering the changes in pump flow rate, head, and efficiency under different operating conditions, and calculating the pump's energy consumption throughout the entire operating cycle.

[0037] This application embodiment can establish a molten salt pump performance calculation model based on fluid mechanics principles and the special properties of molten salt. For head calculation, considering the influence of molten salt viscosity on the flow resistance inside the impeller, the following formula is used:

[0038] in, H For actual head, H 0 represents the theoretical head calculated based on the performance of the clean water. k This is the viscosity correction factor (determined through experimental or empirical data). This is the actual viscosity of the molten salt. The viscosity is that of clean water; for flow rate calculation, the effect of molten salt density change on pump suction performance is considered, and the pump flow rate-speed curve is corrected.

[0039] Optionally, in one embodiment of this application, a multi-objective optimization function for the high-temperature molten salt storage tank molten salt pump is established using a pre-built molten salt pump performance calculation model based on the optimization objectives of the pump's performance, operating energy consumption, equipment cost, and reliability. This includes: determining the optimization objectives of the high-temperature molten salt storage tank molten salt pump based on its head, flow rate satisfaction, operating energy consumption, equipment cost, and reliability; and combining multiple objective functions into a multi-objective optimization function for the high-temperature molten salt storage tank molten salt pump based on the optimization objectives.

[0040] It is understood that the weighting coefficients in the objective function of this application embodiment are determined based on the actual needs and priorities of the thermal storage system.

[0041] In this embodiment, the pump performance (such as head and flow rate satisfaction), operating energy consumption, equipment cost and reliability (such as expected service life) are used as optimization objectives to establish a multi-objective optimization function. For example, a weighted method is used to combine multiple objective functions into a comprehensive objective function, and corresponding weight coefficients are assigned according to the importance of different objectives.

[0042] The embodiments of this application can employ a multi-objective optimization selection strategy, with performance, energy consumption, cost, and reliability as objectives. Constraints are set and optimization algorithms are used to solve them, ultimately achieving accurate selection of molten salt pumps, improving the operating efficiency of thermal storage systems, reducing costs, extending equipment life, and enhancing safety and reliability.

[0043] In step S103, based on the constraints of the high-temperature molten salt storage tank molten salt pump, including the operating temperature range, corrosion resistance requirements, storage tank structure, and preset installation space limitations, a multi-objective optimization function is solved to generate a molten salt pump selection scheme that meets the preset optimal conditions. Then, based on the molten salt pump selection scheme, the molten salt pump selection that meets the preset optimal conditions for the high-temperature molten salt storage tank is determined.

[0044] Understandable Figure 2 This is a schematic diagram of the overall structure of a high-temperature molten salt thermal energy storage system, including the connection relationships and relative positions of various components such as the solar collector field, high-temperature molten salt storage tank, molten salt storage tank, steam generator, molten salt pump, and connecting pipelines.

[0045] In actual implementation, the embodiments of this application can set constraints, including the pump's operating temperature range, corrosion resistance requirements, installation space limitations, etc., to ensure that the selected molten salt pump meets the operating requirements of the thermal storage tank while also complying with the limitations of actual engineering conditions. A multi-objective optimization algorithm (such as genetic algorithm, particle swarm optimization algorithm, etc.) is used to solve the comprehensive objective function to obtain the optimal molten salt pump selection scheme that meets the constraints. The optimization algorithm continuously searches for the optimal solution through iterative calculation, seeking a balance among multiple objectives to obtain the molten salt pump selection with the best comprehensive performance.

[0046] In this application, experimental data of molten salt pumps with known performance are used to verify the established performance calculation model. A molten salt pump similar to the selected pump is selected, and its performance parameters such as flow rate, head and efficiency are measured under actual operating conditions. These measured data are compared with the model calculation results. If there is a large deviation between the two, the model is adjusted and optimized until the model calculation results match the measured data well.

[0047] This application can determine the optimization objective function and weighting coefficients. A multi-objective optimization function is established, using the performance indicators of the molten salt pump (including head satisfaction, flow rate satisfaction, and efficiency), operating energy consumption, equipment cost, reliability (measured by mean time between failures), and maintenance cost as optimization objectives. For example, a weighted summation method can be used to combine multiple objective functions into a single comprehensive objective function.

[0048] in, F q For traffic satisfaction, F h For head satisfaction, For efficiency, E For operating energy consumption, C For equipment costs, M To maintain costs, T MTBF Mean time between failures (MTBF) w 1- w 7 represents the weighting coefficient for each objective, which is determined based on the actual needs and priorities of the thermal storage system.

[0049] This application allows for the setting of constraints. Based on the operating temperature range of the molten salt (e.g., 200℃ to 550℃), the selected molten salt pump is required to meet the high-temperature resistance requirements of this temperature range; based on the corrosiveness of the molten salt, a pump type with corresponding corrosion-resistant materials (e.g., stainless steel, nickel-based alloys, etc.) is selected; considering the installation space limitations around the thermal storage tank, constraints on the pump's external dimensions are set.

[0050] This application can choose a suitable optimization algorithm (such as a genetic algorithm) for solving the problem. First, the parameters of the genetic algorithm are determined, such as population size, crossover probability, mutation probability, etc. Then, an initial population is randomly generated, with each individual representing a molten salt pump selection scheme (including parameters such as pump model, specifications, and material). The objective function value of each individual is calculated, and its merits are evaluated based on the fitness function. Through genetic operations such as selection, crossover, and mutation, the next generation population is generated, and the optimization is iteratively performed until the termination condition is met (such as reaching the maximum number of iterations or the objective function value converges). A multi-objective optimization selection strategy is then executed, and the optimal individual obtained is the molten salt pump selection scheme that meets the multi-objective optimization requirements.

[0051] The embodiments of this application can improve the performance of the thermal storage system. Through precise selection and optimization, it ensures that the molten salt pump can provide appropriate flow rate and head under different operating conditions, improve the circulation efficiency of molten salt in the thermal storage tank, thereby improving the heat storage and heat release efficiency of the entire thermal storage system, reducing energy loss, and reducing operating costs. The optimized molten salt pump can reduce energy consumption while meeting operating requirements. At the same time, considering equipment cost factors, a cost-effective pump type is selected, effectively reducing the long-term operating costs of the thermal storage system, including electricity expenses and equipment maintenance costs.

[0052] Optionally, in one embodiment of this application, after determining the molten salt pump that meets the preset optimal conditions for the high-temperature molten salt heat storage tank according to the molten salt pump selection scheme, the method further includes: comparing the actual operating data of the molten salt pump selection with the theoretical performance calculation results to generate comparison data, and analyzing the dynamic response characteristics of the molten salt pump under different operating conditions to generate characteristic analysis results; evaluating the molten salt pump selection that meets the preset optimal conditions based on the comparison data and characteristic analysis results to generate evaluation results, and optimizing and adjusting the speed and inlet / outlet valve opening of the molten salt pump for the high-temperature molten salt heat storage tank based on the evaluation results.

[0053] It is understood that the evaluation of the selection results in this application embodiment includes comparing actual operating data with theoretical performance calculation results and analyzing the dynamic response characteristics of the pump under different operating conditions. The adjustment of the operating parameters of the molten salt pump based on the evaluation results includes speed adjustment and inlet / outlet valve opening adjustment.

[0054] In practical implementation, the embodiments of this application can perform performance evaluation on the optimized molten salt pump. Based on the performance parameters of the molten salt pump and the operating conditions of the thermal storage tank, the actual operating point of the pump under different operating conditions is calculated to assess whether it operates within its high-efficiency operating range; simultaneously, the stability and reliability of the pump during startup, shutdown, and operation under varying conditions are analyzed. The selected molten salt pump is applied to the high-temperature molten salt thermal storage tank system, and actual operation tests are conducted. During system operation, the operating parameters of the molten salt pump (such as flow rate, head, temperature, vibration, etc.) are monitored in real time, and the system's heat storage and release efficiency, energy consumption, and other performance indicators are recorded. Based on the actual operating data, the correctness of the selection method and the applicability of the selected molten salt pump are further verified; if problems are found, the selection method and the pump's operating parameters are adjusted and optimized in a timely manner.

[0055] The method for selecting and optimizing molten salt pumps for high-temperature molten salt thermal storage tanks proposed in this application can select the most suitable molten salt pump for the operation requirements of the high-temperature molten salt thermal storage tank by comprehensively considering multiple key factors and through precise calculation and analysis, thereby improving the overall performance, reliability, and economy of the thermal storage system. This solves the problem that related technologies do not fully consider the impact of the special physicochemical properties of molten salt on pump performance, neglect the flow characteristics of molten salt within the thermal storage tank, and ignore the requirements for pump selection under different operating conditions. These shortcomings may lead to the selected molten salt pump failing to achieve optimal performance in actual operation, increasing system energy consumption, reducing equipment lifespan, and even causing safety accidents.

[0056] Next, referring to the accompanying drawings, we describe the selection optimization device for the molten salt pump of the molten salt storage tank according to the embodiments of this application.

[0057] Figure 3 This is a schematic diagram of the structure of the molten salt pump selection and optimization device for the molten salt storage tank according to an embodiment of this application.

[0058] like Figure 3 As shown, the selection and optimization device 10 for the molten salt pump of the molten salt storage tank includes: an acquisition module 100, an establishment module 200, and an optimization module 300.

[0059] Specifically, module 100 is used to acquire physicochemical property data of molten salt, analyze the structural parameters of the thermal storage tank, and determine the operating conditions of the thermal storage system.

[0060] Module 200 is established to use the physicochemical properties of molten salt, the structural parameters of the thermal storage tank, and the operating conditions of the thermal storage system to establish a multi-objective optimization function for the molten salt pump of the high-temperature molten salt thermal storage tank based on the optimization objectives of the molten salt pump's performance, operating energy consumption, equipment cost, and reliability, using a pre-built molten salt pump performance calculation model.

[0061] The optimization module 300 is used to solve a multi-objective optimization function based on the constraints of the working temperature range, corrosion resistance requirements, tank structure and preset installation space limitations of the molten salt pump in the high-temperature molten salt heat storage tank. This generates a molten salt pump selection scheme that meets the preset optimal conditions for the molten salt pump in the high-temperature molten salt heat storage tank, and determines the molten salt pump selection that meets the preset optimal conditions based on the molten salt pump selection scheme.

[0062] Optionally, in one embodiment of this application, the acquisition module 100 includes: an acquisition unit, an analysis unit, and a determination unit.

[0063] The acquisition unit is used to acquire at least one of the following physicochemical properties of molten salt at different temperatures: density, viscosity, specific heat capacity, thermal conductivity, corrosive components, and content.

[0064] The analysis unit is used to analyze at least one of the structural parameters of the thermal storage tank, including its shape, size, inlet and outlet positions, temperature distribution, and flow characteristics.

[0065] The determination unit is used to determine the operating conditions of the thermal storage system based on the flow demand, head requirements, and operating time parameters at different stages, according to the design goals and actual application scenarios of the thermal storage system.

[0066] Optionally, in one embodiment of this application, the selection optimization device 10 for the molten salt pump of the molten salt storage tank further includes: an adjustment module, an adjustment module, and a model building module.

[0067] The adjustment module is used to calculate the head, flow rate, and efficiency of the molten salt pump in the high-temperature molten salt storage tank using a preset fluid dynamics formula before establishing a multi-objective optimization function for the molten salt pump in the high-temperature molten salt storage tank based on the optimization objectives of the pump's performance, operating energy consumption, equipment cost, and reliability using a pre-built molten salt pump performance calculation model. Based on the head, flow rate, and efficiency of the molten salt pump, the module adjusts the theoretical performance curve of the molten salt pump in the high-temperature molten salt storage tank according to a preset viscosity correction coefficient, generating adjustment data.

[0068] The calculation module is used to determine the inlet position and suction conditions of the molten salt pump in the high-temperature molten salt storage tank based on the adjustment data and the flow distribution in the storage tank. Based on the inlet position and suction conditions, it calculates the density change of molten salt at different heights according to the temperature stratification, so as to determine the head requirement of the molten salt pump in the high-temperature molten salt storage tank according to the density change.

[0069] The model building module is used to establish a pre-built performance calculation model of the molten salt pump based on the head requirement of the molten salt pump in the high-temperature molten salt thermal storage tank and the operating parameters of the thermal storage system.

[0070] Optionally, in one embodiment of this application, the establishment module 200 includes: a target determination unit and a combination unit.

[0071] The target determination unit is used to determine the optimization target of the molten salt pump in the high-temperature molten salt storage tank based on the head, flow rate satisfaction, operating energy consumption, equipment cost and reliability of the molten salt pump.

[0072] The combination unit is used to combine multiple objective functions into a multi-objective optimization function for the molten salt pump of the high-temperature molten salt storage tank based on the optimization objective.

[0073] Optionally, in one embodiment of this application, the selection optimization device 10 for the molten salt pump of the molten salt storage tank further includes: a comparison module and an evaluation module.

[0074] The comparison module is used to compare the actual operating data of the selected molten salt pump with the theoretical performance calculation results after determining the molten salt pump that meets the preset optimal conditions according to the molten salt pump selection scheme, so as to generate comparison data and analyze the dynamic response characteristics of the molten salt pump under different operating conditions to generate characteristic analysis results.

[0075] The evaluation module is used to evaluate the selection of molten salt pumps that meet the preset optimal conditions based on comparative data and characteristic analysis results, generate evaluation results, and optimize and adjust the speed of the molten salt pump and the opening degree of the inlet and outlet valves of the high-temperature molten salt heat storage tank based on the evaluation results.

[0076] It should be noted that the explanation of the above-mentioned method for optimizing the selection of molten salt pumps for molten salt storage tanks also applies to the optimization device for the selection of molten salt pumps for molten salt storage tanks in this embodiment, and will not be repeated here.

[0077] The molten salt pump selection optimization device for high-temperature molten salt thermal storage tanks proposed in this application can select the most suitable molten salt pump for the operation requirements of the high-temperature molten salt thermal storage tank by comprehensively considering multiple key factors and through precise calculation and analysis, thereby improving the overall performance, reliability, and economy of the thermal storage system. This solves the problem that related technologies do not fully consider the impact of the special physicochemical properties of molten salt on pump performance, neglect the flow characteristics of molten salt within the thermal storage tank, and ignore the requirements for pump selection under different operating conditions. These shortcomings may lead to the selected molten salt pump failing to achieve optimal performance in actual operation, increasing system energy consumption, reducing equipment lifespan, and even causing safety accidents.

[0078] Figure 4 A schematic diagram of the structure of an electronic device provided in an embodiment of this application. The electronic device may include: The memory 401, the processor 402, and the computer program stored on the memory 401 and capable of running on the processor 402.

[0079] When the processor 402 executes the program, it implements the selection optimization method for the molten salt pump of the molten salt storage tank provided in the above embodiments.

[0080] Furthermore, electronic devices also include: Communication interface 403 is used for communication between memory 401 and processor 402.

[0081] The memory 401 is used to store computer programs that can run on the processor 402.

[0082] Memory 401 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.

[0083] If the memory 401, processor 402, and communication interface 403 are implemented independently, then the communication interface 403, memory 401, and processor 402 can be interconnected via a bus to complete communication between them. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of representation, Figure 4 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0084] Optionally, in a specific implementation, if the memory 401, processor 402, and communication interface 403 are integrated on a single chip, then the memory 401, processor 402, and communication interface 403 can communicate with each other through an internal interface.

[0085] Processor 402 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of this application.

[0086] This embodiment also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described method for optimizing the selection of molten salt pumps for molten salt storage tanks.

[0087] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0088] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0089] Any process or method described in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or N executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0090] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0091] It should be understood that the various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0092] Those skilled in the art will understand that all or part of the steps of the methods described in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, it includes one or a combination of the steps of the method embodiments.

[0093] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0094] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.

Claims

1. A method for selecting and optimizing a molten salt pump for a high-temperature molten salt thermal storage tank, characterized in that, Includes the following steps: Obtain physicochemical property data of molten salt, analyze the structural parameters of the thermal storage tank, and determine the operating conditions of the thermal storage system; Based on the physicochemical properties of the molten salt, the structural parameters of the thermal storage tank, and the operating conditions of the thermal storage system, a multi-objective optimization function for the molten salt pump of the high-temperature molten salt thermal storage tank is established using a pre-built molten salt pump performance calculation model according to the optimization objectives of the molten salt pump performance, operating energy consumption, equipment cost, and reliability of the high-temperature molten salt thermal storage tank. Based on the constraints of the high-temperature molten salt storage tank molten salt pump, including the operating temperature range, corrosion resistance requirements, storage tank structure, and preset installation space limitations, the multi-objective optimization function is solved to generate a molten salt pump selection scheme that satisfies the preset optimal conditions. Then, based on the molten salt pump selection scheme, the molten salt pump selection that satisfies the preset optimal conditions for the high-temperature molten salt storage tank is determined.

2. The method according to claim 1, characterized in that, The process of acquiring physicochemical property data of molten salt, analyzing structural parameters of the thermal storage tank, and determining the operating conditions of the thermal storage system includes: Obtain at least one of the following physicochemical properties of the molten salt at different temperatures: density, viscosity, specific heat capacity, thermal conductivity, corrosive components, and content. Analyze at least one of the structural parameters of the thermal storage tank, including its shape, size, inlet and outlet positions, temperature distribution, and flow characteristics. Based on the flow rate requirements, head requirements, and operating time parameters at different stages, the operating conditions of the thermal storage system are determined according to the design goals and actual application scenarios of the thermal storage system.

3. The method according to claim 1, characterized in that, Before establishing the multi-objective optimization function of the molten salt pump in the high-temperature molten salt storage tank based on the optimization objectives of the pump's performance, operating energy consumption, equipment cost, and reliability using a pre-built molten salt pump performance calculation model, the following steps are also included: The head, flow rate, and efficiency of the molten salt pump in the high-temperature molten salt storage tank are calculated using a preset fluid dynamics formula. Based on the head, flow rate, and efficiency of the molten salt pump, the theoretical performance curve of the molten salt pump in the high-temperature molten salt storage tank is adjusted according to a preset viscosity correction coefficient to generate adjustment data. Based on the adjustment data, the inlet position and suction conditions of the molten salt pump in the high-temperature molten salt heat storage tank are determined according to the flow distribution in the heat storage tank. Based on the inlet position and suction conditions, the density change of the molten salt at different heights is calculated according to the temperature stratification, so as to determine the head requirement of the molten salt pump in the high-temperature molten salt heat storage tank according to the density change. Based on the head requirement of the molten salt pump in the high-temperature molten salt storage tank and the operating parameters of the thermal storage system, a pre-constructed performance calculation model for the molten salt pump is established.

4. The method according to claim 1, characterized in that, The process utilizes a pre-built molten salt pump performance calculation model to establish a multi-objective optimization function for the molten salt pump in the high-temperature molten salt storage tank, based on optimization objectives related to performance, operating energy consumption, equipment cost, and reliability. This function includes: Based on the head, flow rate satisfaction, operating energy consumption, equipment cost, and reliability of the molten salt pump in the high-temperature molten salt storage tank, the optimization objectives of the molten salt pump in the high-temperature molten salt storage tank are determined. Based on the aforementioned optimization objective, multiple objective functions are combined into a multi-objective optimization function for the molten salt pump of the high-temperature molten salt storage tank.

5. The method according to claim 1, characterized in that, After determining the optimal molten salt pump for the high-temperature molten salt storage tank based on the molten salt pump selection scheme, the process further includes: The actual operating data and theoretical performance calculation results of the selected molten salt pump are compared to generate comparative data, and the dynamic response characteristics of the molten salt pump under different operating conditions are analyzed to generate characteristic analysis results. The selection of the molten salt pump that meets the preset optimal conditions is evaluated based on the comparison data and the characteristic analysis results to generate evaluation results. The speed and inlet / outlet valve opening of the molten salt pump of the high-temperature molten salt storage tank are then optimized and adjusted based on the evaluation results.

6. A device for selecting and optimizing a molten salt pump for a high-temperature molten salt storage tank, characterized in that, include: The acquisition module is used to acquire physicochemical property data of molten salt, analyze the structural parameters of the thermal storage tank, and determine the operating conditions of the thermal storage system. A module is established to establish a multi-objective optimization function for the molten salt pump of the high-temperature molten salt storage tank based on the physicochemical properties data of the molten salt, the structural parameters of the heat storage tank, and the operating conditions of the heat storage system, using a pre-built molten salt pump performance calculation model and the optimization objectives of the molten salt pump of the high-temperature molten salt storage tank, including performance, operating energy consumption, equipment cost, and reliability. The optimization module is used to solve the multi-objective optimization function based on the constraints of the high-temperature molten salt storage tank molten salt pump, including the operating temperature range, corrosion resistance requirements, storage tank structure, and preset installation space limitations, to generate a molten salt pump selection scheme that satisfies the preset optimal conditions for the high-temperature molten salt storage tank molten salt pump, and to determine the molten salt pump selection that satisfies the preset optimal conditions based on the molten salt pump selection scheme.

7. The apparatus according to claim 6, characterized in that, The acquisition module includes: The acquisition unit is used to acquire at least one of the following physicochemical properties of the molten salt at different temperatures: density, viscosity, specific heat capacity, thermal conductivity, corrosive components, and content. The analysis unit is used to analyze at least one structural parameter of the thermal storage tank, including its shape, size, inlet and outlet positions, temperature distribution, and flow characteristics. The determination unit is used to determine the operating conditions of the thermal storage system based on the flow demand, head requirement, and operating time parameters at different stages, according to the design goals and actual application scenarios of the thermal storage system.

8. The apparatus according to claim 6, characterized in that, Also includes: The adjustment module is used to calculate the head, flow rate, and efficiency of the molten salt pump in the high-temperature molten salt storage tank using a preset fluid dynamics formula before establishing the multi-objective optimization function of the molten salt pump in the high-temperature molten salt storage tank based on the optimization objectives of the pump's performance, operating energy consumption, equipment cost, and reliability using a pre-built molten salt pump performance calculation model. Based on the head, flow rate, and efficiency of the molten salt pump, the module adjusts the theoretical performance curve of the molten salt pump in the high-temperature molten salt storage tank according to a preset viscosity correction coefficient, and generates adjustment data. The calculation module is used to determine the inlet position and suction conditions of the molten salt pump of the high-temperature molten salt thermal storage tank based on the adjustment data and the flow distribution in the thermal storage tank, and to calculate the density change of the molten salt at different heights based on the inlet position and the suction conditions and the temperature stratification, so as to determine the head requirement of the molten salt pump of the high-temperature molten salt thermal storage tank based on the density change. The model building module is used to build a pre-constructed performance calculation model of the molten salt pump based on the head requirement of the molten salt pump in the high-temperature molten salt thermal storage tank and the operating parameters of the thermal storage system.

9. An electronic device, characterized in that, include: The system includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the selection and optimization method for the molten salt pump of the high-temperature molten salt storage tank as described in any one of claims 1-5.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, The program is executed by the processor to implement the selection optimization method for the molten salt pump of the high-temperature molten salt thermal storage tank as described in any one of claims 1-5.

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