Optimization method and device of fused salt heat energy storage system, electronic equipment and storage medium

Abstract

The invention discloses an optimization method and device of a fused salt heat energy storage system, electronic equipment and a storage medium, and relates to the technical field of heat energy engineering, the influence of different heat taking and releasing schemes on the operation efficiency of the fused salt heat energy storage system is analyzed through a preset thermodynamic calculation model, and the performance and model of an adaptive target heat exchanger are determined based on the analysis results, so that the optimization of the fused salt heat energy storage system is realized. And meanwhile, accurate heat release optimization schemes and key parameters are formulated according to different working conditions. The blindness in the optimization process is avoided, the accuracy of the optimization direction is greatly improved, the heat transfer efficiency is improved, the equipment purchase and maintenance cost is reduced, it is guaranteed that energy supply of the system is stable under the complex working condition, precise control is achieved, energy consumption is reduced, and the system performance is comprehensively improved.

Description

Technical Field

[0001] The present disclosure relates to the field of thermal energy engineering technology, and in particular to an optimization method and device, electronic equipment, and storage medium for a molten salt thermal energy storage system. Background Art

[0002] With the growing global demand for clean energy and the urgent need for efficient utilization of traditional energy, thermal energy storage technology has gradually become a focus of research and application. Thermal energy storage technology is crucial for balancing energy supply and demand, improving energy utilization efficiency, and ensuring the stability of energy supply.

[0003] At present, the theoretical system of thermal energy storage technology cannot provide comprehensive and accurate guidance, resulting in difficulty in fully realizing the optimal performance of components and systems in actual system construction and operation. Summary of the Invention

[0004] This disclosure provides a molten salt thermal energy storage system optimization method, device, electronic device, and storage medium. Its primary purpose is to address the difficulty in fully realizing the optimal performance of components and systems during actual system construction and operation.

[0005] According to a first aspect of the present disclosure, a method for optimizing a molten salt thermal energy storage system is provided, comprising:

[0006] Analyze the effects of different heat extraction and release schemes on the efficiency of the thermal energy storage system based on a preset thermal calculation model and obtain analysis results;

[0007] Based on the analysis results, determine the performance and model of the target heat exchanger, and determine the heat release optimization scheme and system parameters of the thermal energy storage system under different operating conditions;

[0008] The molten salt thermal energy storage system is optimized according to the performance and model of the target heat exchanger, the heat release optimization scheme of the thermal energy storage system under different working conditions, and key parameters.

[0009] Optionally, determining the performance and model of the target heat exchanger based on the analysis results, and determining the heat release optimization scheme and system parameters of the thermal energy storage system under different operating conditions further includes:

[0010] Constructing a thermal calculation model of the molten salt thermal energy storage system;

[0011] Based on the thermal calculation model, the influence of the performance and models of different target heat exchangers on the molten salt thermal energy storage system is determined, and the heat release optimization scheme and system parameters of the thermal energy storage system under different working conditions are determined.

[0012] Optionally, the different heat extraction and release schemes include using the steam heated by molten salt for heating feed water, returning to the deaerator, and being incorporated into the high-pressure exhaust.

[0013] Optionally, the model of the target heat exchanger includes at least one of a molten salt heat exchanger, a steam molten salt heat exchanger, a molten salt water / steam heat exchanger and a steam flue gas heat exchanger.

[0014] Optionally, determining the heat release optimization scheme and system parameters of the thermal energy storage system under different operating conditions further includes:

[0015] Based on the load increase of the thermal power unit, the heat release optimization scheme and system parameters of the thermal energy storage system under different working conditions are determined.

[0016] According to a second aspect of the present disclosure, there is provided an optimization device for a molten salt thermal energy storage system, comprising:

[0017] An analysis unit is used to analyze the effects of different heat extraction and release schemes on the efficiency of the thermal energy storage system based on a preset thermal calculation model and obtain analysis results;

[0018] a determination unit, configured to determine the performance and model of a target heat exchanger based on the analysis results, and to determine a heat release optimization scheme and system parameters of the thermal energy storage system under different operating conditions;

[0019] The optimization unit is used to optimize the molten salt thermal energy storage system according to the performance and model of the target heat exchanger, the heat release optimization scheme of the thermal energy storage system under different working conditions and key parameters.

[0020] Optionally, the determining unit is further configured to:

[0021] Constructing a thermal calculation model of the molten salt thermal energy storage system;

[0022] Based on the thermal calculation model, the influence of the performance and models of different target heat exchangers on the molten salt thermal energy storage system is determined, and the heat release optimization scheme and system parameters of the thermal energy storage system under different working conditions are determined.

[0023] Optionally, the different heat extraction and release schemes include using the steam heated by molten salt for heating feed water, returning to the deaerator, and being incorporated into the high-pressure exhaust.

[0024] Optionally, the model of the target heat exchanger includes at least one of a molten salt heat exchanger, a steam molten salt heat exchanger, a molten salt water / steam heat exchanger and a steam flue gas heat exchanger.

[0025] Optionally, the determining unit is further configured to:

[0026] Based on the load increase of the thermal power unit, the heat release optimization scheme and system parameters of the thermal energy storage system under different working conditions are determined.

[0027] According to a third aspect of the present disclosure, there is provided an electronic device, including:

[0028] at least one processor; and

[0029] a memory communicatively connected to the at least one processor; wherein,

[0030] The memory stores instructions that can be executed by the at least one processor. The instructions are executed by the at least one processor to enable the at least one processor to perform the method described in the first aspect.

[0031] According to a fourth aspect of the present disclosure, a non-transitory computer-readable storage medium storing computer instructions is provided, wherein the computer instructions are used to enable the computer to execute the method described in the first aspect.

[0032] According to a fifth aspect of the present disclosure, a computer program product is provided, comprising a computer program, wherein when the computer program is executed by a processor, the computer program implements the method as described in the first aspect above.

[0033] The present disclosure provides a method, device, electronic device, and storage medium for optimizing a molten salt thermal energy storage system. The main technical solutions include: analyzing the impact of different heat extraction and release schemes on the efficiency of the thermal energy storage system based on a preset thermal calculation model to obtain analysis results; determining the performance and model of a target heat exchanger based on the analysis results, and determining the heat release optimization scheme and system parameters for the thermal energy storage system under different operating conditions; and optimizing the molten salt thermal energy storage system based on the performance and model of the target heat exchanger, the heat release optimization scheme, and key parameters for the thermal energy storage system under different operating conditions. Compared with related technologies, the embodiments of the present application use a preset thermal calculation model to analyze the impact of different heat extraction and release schemes on the operating efficiency of the molten salt thermal energy storage system. Based on these analysis results, the performance and model of the target heat exchanger are determined, and precise heat release optimization schemes and key parameters are formulated for different operating conditions. This avoids blindness in the optimization process, greatly improves the accuracy of the optimization direction, improves heat transfer efficiency, reduces equipment procurement and maintenance costs, ensures stable energy supply for the system under complex operating conditions, achieves precise control to reduce energy consumption, and comprehensively improves system performance.

[0034] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] The accompanying drawings are provided to facilitate a better understanding of the present invention and do not constitute a limitation of the present disclosure.

[0036] Figure 1 A schematic flow chart of an optimization method for a molten salt thermal energy storage system provided in an embodiment of the present disclosure;

[0037] Figure 2 A schematic structural diagram of an optimization device for a molten salt thermal energy storage system provided in an embodiment of the present disclosure;

[0038] Figure 3 A schematic block diagram of an exemplary electronic device provided for an embodiment of the present disclosure. DETAILED DESCRIPTION

[0039] The following description of exemplary embodiments of the present disclosure is made in conjunction with the accompanying drawings, including various details of the embodiments of the present disclosure to facilitate understanding. These details should be considered as merely exemplary. Therefore, those skilled in the art will recognize that various changes and modifications may be made to the embodiments described herein without departing from the scope and spirit of the present disclosure. Similarly, for the sake of clarity and conciseness, descriptions of well-known functions and structures are omitted in the following description.

[0040] The following describes the optimization method, device, electronic device, and storage medium of the molten salt thermal energy storage system according to the embodiments of the present disclosure with reference to the accompanying drawings.

[0041] Figure 1 A schematic flow chart of a method for optimizing a molten salt thermal energy storage system according to an embodiment of the present disclosure.

[0042] like Figure 1 As shown, the method comprises the following steps:

[0043] Step 101: Analyze the effects of different heat extraction and release schemes on the efficiency of the thermal energy storage system based on a preset thermal calculation model to obtain analysis results.

[0044] The pre-defined thermal calculation model is built on a multidisciplinary foundation of thermodynamics, fluid dynamics, and other theoretical foundations. It fully considers the physical properties of various media within the system, such as molten salt, steam, and water, and their interactions under different conditions. The model architecture encompasses all types of equipment in the system, including but not limited to heat extraction devices, heat storage units, heat release equipment, and the pipes connecting these components, depicting the energy flow paths and conversion nodes within the system.

[0045] Based on this preset thermal calculation model, the analysis of the impact of different heat extraction and release schemes on the operating efficiency of the thermal energy storage system is comprehensive and in-depth. In terms of heat extraction scheme analysis, the focus is on the rate at which molten salt absorbs heat from the heat source, the total amount absorbed, and the energy loss during the absorption process under different heat extraction methods. For example, when direct contact heat extraction or indirect heat exchange heat extraction is adopted, the model simulates the temperature change and flow velocity distribution of the molten salt in the heat extraction equipment, and then calculates the energy loss caused by factors such as convection, conduction, and radiation. For the heat release scheme, attention is paid to the effective utilization rate of the steam heated by the molten salt in different release paths, such as heating feed water, reinjection into the deaerator, and incorporation into the high-pressure exhaust. The model simulates the pressure drop and temperature drop of steam in each heat release link, combined with the heat exchange characteristics of the equipment, to quantitatively analyze the proportion of energy converted into useful work or effective thermal energy.

[0046] Throughout the analysis process, the model continuously collects and processes large amounts of data, including key parameters such as temperature, pressure, and flow rate of the media at the inlet and outlet of each device. By integrating and calculating this data, it gradually generates detailed analysis results for different heat extraction and release schemes, providing solid data support for subsequent system optimization decisions.

[0047] Step 102: Based on the analysis results, determine the performance and model of the target heat exchanger, and determine the heat release optimization scheme and system parameters of the thermal energy storage system under different working conditions.

[0048] First, determine the performance and model of the target heat exchanger. The analysis results show the specific requirements of the system for performance such as heat exchange efficiency, temperature control accuracy, and pressure tolerance under different working conditions. For example, if the system has extremely high requirements for heat exchange efficiency in a high-temperature and high-pressure environment under a specific heat extraction and heat release scheme, then the target heat exchanger must have efficient heat conduction performance and a structural design that can withstand the corresponding pressure. Based on these performance requirements, compare the performance of heat exchangers of different manufacturers and models in terms of material, heat exchange area, heat transfer coefficient, maximum working pressure and temperature. Through technical evaluation and performance comparison, select the target heat exchanger model that meets the system requirements to ensure that it can stably and efficiently complete the heat exchange task in actual operation, reduce energy loss, and improve the overall operating efficiency of the system.

[0049] Different operating conditions, such as the peak and valley changes in electricity consumption during the day and night, the difference in ambient temperature caused by the change of seasons, and the frequent adjustment of loads in industrial production, have different requirements for the heat release of the system. The analysis results provide a key reference for the optimization of heat release. According to the energy demand of the system under different operating conditions and the efficiency performance of each heat release scheme, a targeted heat release optimization strategy is formulated. For example, during peak electricity consumption periods, in order to meet the large demand for electricity output, priority is given to heat release schemes with high energy conversion efficiency and fast response speed, such as directly using steam to drive steam turbines for power generation; during the low-peak period at night, part of the steam can be adjusted to heat stored water to preheat the production and domestic water for the next day, so as to achieve reasonable allocation and efficient utilization of energy. In the process of determining the heat release optimization scheme, the corresponding system parameters are simultaneously clarified, including key indicators such as steam flow, temperature, and pressure, to ensure that the system can be accurately controlled and stably operated under different operating conditions.

[0050] Step 103 : Optimizing the molten salt thermal energy storage system according to the performance and model of the target heat exchanger, the heat release optimization scheme of the thermal energy storage system under different working conditions, and key parameters.

[0051] The system layout should be rationally adjusted based on the target heat exchanger's size, interface specifications, and optimal operating conditions. For example, if the newly selected heat exchanger has a larger heat transfer area and specific installation space requirements, the installation location of the equipment within the system needs to be replanned to ensure that the heat exchanger can be efficiently connected to other equipment, such as molten salt storage tanks and steam generators, to reduce resistance and heat loss during energy transmission. At the same time, considering the changes in the heat load of the heat exchanger under different operating conditions, the diameter and material of the connecting pipes are optimized to ensure the stability and safety of the medium flow under various operating conditions.

[0052] The thermal energy storage system's heat release optimization scheme and key parameters for different operating conditions are integrated into the system's operational control strategy. The automated control system precisely adjusts system operating parameters based on different operating conditions, such as daytime high-load periods, nighttime low-load periods, and seasonal changes in ambient temperature. During high-load periods, the heat release optimization scheme increases steam flow, while adjusting steam temperature and pressure to appropriate levels to ensure the system can quickly release sufficient energy to meet electricity demand. The control system then monitors and adjusts the molten salt pump speed in real time based on pre-set key parameters to ensure the molten salt enters the heat exchanger at an appropriate flow rate for heating, thereby generating the required high-temperature, high-pressure steam. During low-load periods at night, the steam flow is reduced, and steam temperature and pressure are appropriately adjusted to reduce energy consumption while ensuring stable system operation. Furthermore, contingency plans are developed to address potential emergencies under different operating conditions, such as equipment failures or extreme environmental changes. These plans adjust system operating parameters and switch to backup equipment to ensure continued stable system operation.

[0053] The present disclosure provides an optimization method for a molten salt thermal energy storage system. The main technical solutions include: analyzing the impact of different heat extraction and release schemes on the efficiency of the thermal energy storage system based on a preset thermal calculation model to obtain analysis results; determining the performance and model of a target heat exchanger based on the analysis results, and determining the heat release optimization scheme and system parameters of the thermal energy storage system under different operating conditions; and optimizing the molten salt thermal energy storage system based on the performance and model of the target heat exchanger, the heat release optimization scheme, and key parameters of the thermal energy storage system under different operating conditions. Compared with related technologies, the embodiments of the present application use a preset thermal calculation model to analyze the impact of different heat extraction and release schemes on the operating efficiency of the molten salt thermal energy storage system. Based on these analysis results, the performance and model of the target heat exchanger are determined, and precise heat release optimization schemes and key parameters are formulated for different operating conditions. This avoids blindness in the optimization process, greatly improves the accuracy of the optimization direction, improves heat transfer efficiency, reduces equipment procurement and maintenance costs, ensures stable energy supply for the system under complex operating conditions, achieves precise control to reduce energy consumption, and comprehensively improves system performance.

[0054] In some embodiments, determining the performance and model of the target heat exchanger based on the analysis results, and determining the heat release optimization scheme and system parameters of the thermal energy storage system under different operating conditions further includes:

[0055] Constructing a thermal calculation model of the molten salt thermal energy storage system;

[0056] Based on the thermal calculation model, the influence of the performance and models of different target heat exchangers on the molten salt thermal energy storage system is determined, and the heat release optimization scheme and system parameters of the thermal energy storage system under different working conditions are determined.

[0057] First, a thermal calculation model of the molten salt thermal energy storage system was constructed. This model, based on fundamental theories of heat transfer and fluid mechanics, takes into account key components within the system, such as the molten salt storage tank, heat exchanger, steam generator, and connecting pipes. By precisely setting the physical parameters of each component, including but not limited to the thermal conductivity of the material, the volume of the equipment, the diameter of the pipes, and other factors, and defining the flow patterns of the media within the system, such as the flow paths and heat transfer methods of molten salt, steam, and water, a mathematical model was constructed that accurately simulated the system's operating state.

[0058] Based on the constructed thermal calculation model, the influence of the performance and models of different target heat exchangers on the molten salt thermal energy storage system is analyzed. The model simulates the changes in the temperature field and pressure field distribution within the system after different models of heat exchangers are connected to the system. For example, when simulating a heat exchanger with high heat transfer performance but limited pressure resistance, the model will show the operating state under different operating conditions when the pressure in the system is close to the pressure limit of the heat exchanger, including fluctuations in steam generation and changes in the molten salt flow rate. Through a large number of such simulation operations, the correlation between the performance and models of different target heat exchangers and key indicators such as system operation stability, heat exchange efficiency, and energy loss is summarized.

[0059] According to the influence rules obtained from the above analysis, combined with the actual operating requirements of the thermal energy storage system under different working conditions, the heat release optimization scheme and system parameters of the thermal energy storage system under different working conditions are determined. Different working conditions, such as the peak and valley changes in electricity consumption during the day and night, the difference in ambient temperature caused by the change of seasons, and the frequent adjustment of loads in industrial production, have different requirements for the heat release of the system. For example, in the summer when the temperature is high and the electricity consumption is at its peak, the system's demand for cooling and electricity supply increases significantly. Based on model analysis, if a certain type of heat exchanger with high heat exchange efficiency is used, combined with a heat release scheme that increases steam flow, steam temperature and pressure, it can better meet the energy demand at this time. In the process of determining the heat release optimization scheme, the corresponding system parameters are simultaneously clarified, including key indicators such as steam flow, temperature, and pressure, to ensure that the system can be accurately controlled and stably operated under different working conditions.

[0060] The system layout should be rationally adjusted based on the target heat exchanger's size, interface specifications, and optimal operating conditions. If the newly selected heat exchanger has a larger heat transfer area and specific installation space requirements, the installation location of the equipment within the system needs to be replanned to ensure that the heat exchanger can be efficiently connected to other equipment, such as molten salt storage tanks and steam generators, to reduce resistance and heat loss during energy transmission. Considering the changes in the heat load of the heat exchanger under different operating conditions, the diameter and material of the connecting pipes should be optimized to ensure the stability and safety of the medium flow under various operating conditions.

[0061] In some embodiments, the different heat extraction and release schemes include using the steam heated by molten salt to heat feed water, return to the deaerator, and be incorporated into the high-pressure exhaust.

[0062] In some embodiments, the model of the target heat exchanger includes at least one of a molten salt heat exchanger, a steam molten salt heat exchanger, a molten salt water / water vapor heat exchanger, and a steam flue gas heat exchanger.

[0063] In some embodiments, determining the heat release optimization scheme and system parameters of the thermal energy storage system under different operating conditions further includes:

[0064] Based on the load increase of the thermal power unit, the heat release optimization scheme and system parameters of the thermal energy storage system under different working conditions are determined.

[0065] When a thermal power unit increases its load, its energy demand rapidly increases, requiring the thermal energy storage system to respond promptly and efficiently. First, using a pre-set thermal calculation model, the dynamic response of the thermal energy storage system to the increased load demand of the thermal power unit, under different heat release paths, is simulated. For example, the simulation shows how key indicators such as the thermal power unit's load increase rate, turbine operating stability, and boiler combustion efficiency change when steam is released at different flow rates, temperatures, and pressures through heating feedwater, returning to the deaerator, and incorporating into the high-pressure exhaust. Under these heat release scenarios, factors such as the thermal energy storage system's own energy losses and the fluctuation range of the molten salt temperature and pressure are analyzed. By comparing and analyzing multiple sets of simulation data, the optimal heat release scheme is selected that enables the thermal energy storage system and the thermal power unit to achieve optimal synergistic operation under the thermal power unit's increased load conditions.

[0066] After determining this optimization plan, the matching system parameters are further clarified, including the optimal steam flow value to ensure that the energy supply meets the load increase requirements of the thermal power unit while avoiding system instability due to excessive or insufficient flow; the appropriate steam temperature and pressure parameters ensure that during the efficient heat release process, no damage is caused to the equipment in the thermal energy storage system and the relevant components of the thermal power unit, thereby ensuring that the entire system operates stably and efficiently under the load increase conditions of the thermal power unit.

[0067] Corresponding to the aforementioned molten salt thermal energy storage system optimization method, the present invention also provides a molten salt thermal energy storage system optimization device. Since the device embodiments of the present invention correspond to the aforementioned method embodiments, details not disclosed in the device embodiments can be referred to the aforementioned method embodiments and will not be further described in this invention.

[0068] Figure 2 A schematic diagram of the structure of an optimization device for a molten salt thermal energy storage system provided in an embodiment of the present disclosure is shown in FIG. Figure 2 Shown, including:

[0069] An analysis unit 21 is configured to analyze the effects of different heat extraction and release schemes on the efficiency of the thermal energy storage system based on a preset thermal calculation model, and obtain analysis results;

[0070] A determination unit 22 is configured to determine the performance and model of a target heat exchanger based on the analysis results, and to determine a heat release optimization scheme and system parameters of the thermal energy storage system under different operating conditions;

[0071] The optimization unit 23 is used to optimize the molten salt thermal energy storage system according to the performance and model of the target heat exchanger, the heat release optimization scheme of the thermal energy storage system under different working conditions and key parameters.

[0072] The present disclosure provides an optimization device for a molten salt thermal energy storage system. Its main technical solutions include: analyzing the impact of different heat extraction and release schemes on the efficiency of the thermal energy storage system based on a preset thermal calculation model to obtain analysis results; determining the performance and model of a target heat exchanger based on the analysis results, and determining the heat release optimization scheme and system parameters of the thermal energy storage system under different operating conditions; and optimizing the molten salt thermal energy storage system based on the performance and model of the target heat exchanger, the heat release optimization scheme, and key parameters of the thermal energy storage system under different operating conditions. Compared with related technologies, the embodiments of the present application use a preset thermal calculation model to analyze the impact of different heat extraction and release schemes on the operating efficiency of the molten salt thermal energy storage system. Based on these analysis results, the performance and model of the target heat exchanger are determined, and precise heat release optimization schemes and key parameters are formulated for different operating conditions. This avoids blindness in the optimization process, greatly improves the accuracy of the optimization direction, improves heat transfer efficiency, reduces equipment procurement and maintenance costs, ensures stable energy supply for the system under complex operating conditions, achieves precise control to reduce energy consumption, and comprehensively improves system performance.

[0073] Furthermore, in a possible implementation of the embodiment of the present disclosure, the determining unit 22 is further configured to:

[0074] Constructing a thermal calculation model of the molten salt thermal energy storage system;

[0075] Based on the thermal calculation model, the influence of the performance and models of different target heat exchangers on the molten salt thermal energy storage system is determined, and the heat release optimization scheme and system parameters of the thermal energy storage system under different working conditions are determined.

[0076] Furthermore, in a possible implementation of the embodiment of the present disclosure, the different heat extraction and heat release schemes include using the steam heated by molten salt for heating feed water, returning to the deaerator, and being incorporated into at least one of the high-pressure exhaust.

[0077] Furthermore, in a possible implementation of the embodiment of the present disclosure, the model of the target heat exchanger includes at least one of a molten salt heat exchanger, a steam molten salt heat exchanger, a molten salt water / water vapor heat exchanger, and a steam flue gas heat exchanger.

[0078] Furthermore, in a possible implementation of the embodiment of the present disclosure, the determining unit 22 is further configured to:

[0079] Based on the load increase of the thermal power unit, the heat release optimization scheme and system parameters of the thermal energy storage system under different working conditions are determined.

[0080] It should be noted that the above explanation of the method embodiment is also applicable to the device of the embodiment of the present disclosure, and the principles are the same, which is no longer limited in the embodiment of the present disclosure.

[0081] According to an embodiment of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium, and a computer program product.

[0082] Figure 3 A schematic block diagram of an example electronic device 400 that can be used to implement embodiments of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present disclosure described and / or claimed herein.

[0083] like Figure 3 As shown, the device 400 includes a computing unit 401, which can perform various appropriate actions and processes according to a computer program stored in a ROM (Read-Only Memory) 402 or a computer program loaded from a storage unit 408 into a RAM (Random Access Memory) 403. Various programs and data required for the operation of the device 400 can also be stored in the RAM 403. The computing unit 401, the ROM 402, and the RAM 403 are connected to each other via a bus 404. An I / O (Input / Output) interface 405 is also connected to the bus 404.

[0084] Various components in device 400 are connected to I / O interface 405, including an input unit 406, such as a keyboard, mouse, etc.; an output unit 407, such as various types of displays, speakers, etc.; a storage unit 408, such as a magnetic disk, optical disk, etc.; and a communication unit 409, such as a network card, modem, wireless communication transceiver, etc. Communication unit 409 allows device 400 to exchange information / data with other devices via a computer network such as the Internet and / or various telecommunication networks.

[0085] Computing unit 401 can be any general-purpose and / or specialized processing component with processing and computing capabilities. Some examples of computing unit 401 include, but are not limited to, a CPU (Central Processing Unit), a GPU (Graphic Processing Unit), various specialized AI (Artificial Intelligence) computing chips, various computing units that run machine learning model algorithms, a DSP (Digital Signal Processor), and any suitable processor, controller, microcontroller, etc. Computing unit 401 performs the various methods and processes described above, such as the optimization method for a molten salt thermal energy storage system. For example, in some embodiments, the optimization method for a molten salt thermal energy storage system can be implemented as a computer software program tangibly embodied in a machine-readable medium, such as storage unit 408. In some embodiments, part or all of the computer program can be loaded and / or installed onto device 400 via ROM 402 and / or communication unit 409. When the computer program is loaded into RAM 403 and executed by computing unit 401, one or more steps of the method described above can be performed. Alternatively, in other embodiments, the computing unit 401 may be configured to execute the aforementioned optimization method for the molten salt thermal energy storage system in any other appropriate manner (for example, by means of firmware).

[0086] Various embodiments of the systems and techniques described herein can be implemented in digital electronic circuit systems, integrated circuit systems, FPGAs (Field Programmable Gate Arrays), ASICs (Application-Specific Integrated Circuits), ASSPs (Application-Specific Standard Products), SOCs (System on Chips), CPLDs (Complex Programmable Logic Devices), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include being implemented in one or more computer programs that are executable and / or interpreted on a programmable system that includes at least one programmable processor, which can be a special-purpose or general-purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0087] The program code for implementing the method of the present disclosure can be written in any combination of one or more programming languages. These program codes can be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device so that when the program code is executed by the processor or controller, the functions / operations specified in the flow chart and / or block diagram are implemented. The program code can be executed entirely on the machine, partially on the machine, as a stand-alone software package, partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0088] In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or apparatus. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or apparatus, or any suitable combination of the foregoing. More specific examples of machine-readable storage media may include an electrical connection based on one or more wires, a portable computer disk, a hard disk, RAM, ROM, EPROM (Electrically Programmable Read-Only-Memory) or flash memory, optical fiber, CD-ROM (Compact Disc Read-Only Memory), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0089] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (Cathode-Ray Tube) or LCD (Liquid Crystal Display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0090] The systems and techniques described herein can be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: LAN (Local Area Network), WAN (Wide Area Network), the Internet, and blockchain networks.

[0091] A computer system may include a client and a server. The client and server are generally remote from each other and typically interact via a communication network. This client-server relationship is established by computer programs running on the respective computers, establishing a client-server relationship. The server may be a cloud server, also known as a cloud computing server or cloud host, a host product within the cloud computing service ecosystem that addresses the management difficulties and limited scalability of traditional physical hosts and VPS services ("Virtual Private Servers" or simply "VPS"). The server may also be a server in a distributed system or a server integrated with blockchain.

[0092] It's important to note that artificial intelligence (AI) is the study of how computers can simulate certain human thought processes and intelligent behaviors (such as learning, reasoning, thinking, and planning). This encompasses both hardware and software technologies. AI hardware technologies generally include sensors, specialized AI chips, cloud computing, distributed storage, and big data processing. AI software technologies primarily encompass computer vision, speech recognition, natural language processing, machine learning / deep learning, big data processing, and knowledge graphs.

[0093] It should be understood that the various forms of the processes shown above can be used to reorder, add, or delete steps. For example, the steps described in this disclosure can be performed in parallel, sequentially, or in a different order, as long as the desired results of the technical solutions disclosed in this disclosure can be achieved. This is not limited herein.

[0094] The above specific embodiments do not constitute a limitation on the scope of protection of this disclosure. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions may be made based on design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this disclosure shall be included within the scope of protection of this disclosure.

Claims

1. A method for optimizing a molten salt thermal energy storage system, characterized in that: include: Analyze the effects of different heat extraction and release schemes on the efficiency of the thermal energy storage system based on a preset thermal calculation model and obtain analysis results; Based on the analysis results, determine the performance and model of the target heat exchanger, and determine the heat release optimization scheme and system parameters of the thermal energy storage system under different operating conditions; The molten salt thermal energy storage system is optimized according to the performance and model of the target heat exchanger, the heat release optimization scheme of the thermal energy storage system under different working conditions, and key parameters.

2. The optimization method of the molten salt thermal energy storage system according to claim 1, characterized in that: Determining the performance and model of the target heat exchanger based on the analysis results, and determining the heat release optimization scheme and system parameters of the thermal energy storage system under different working conditions also includes: Constructing a thermal calculation model of the molten salt thermal energy storage system; Based on the thermal calculation model, the influence of the performance and models of different target heat exchangers on the molten salt thermal energy storage system is determined, and the heat release optimization scheme and system parameters of the thermal energy storage system under different working conditions are determined.

3. The optimization method of the molten salt thermal energy storage system according to claim 1, characterized in that: The different heat extraction and release schemes include using the steam heated by molten salt for heating feed water, returning to the deaerator, and being incorporated into the high-pressure exhaust.

4. The optimization method of the molten salt thermal energy storage system according to claim 1, characterized in that: The target heat exchanger model includes at least one of a molten salt heat exchanger, a steam molten salt heat exchanger, a molten salt water / water vapor heat exchanger, and a steam flue gas heat exchanger.

5. The optimization method of the molten salt thermal energy storage system according to claim 2, characterized in that: Determining the heat release optimization scheme and system parameters of the thermal energy storage system under different working conditions also includes: Based on the load increase of the thermal power unit, the heat release optimization scheme and system parameters of the thermal energy storage system under different working conditions are determined.

6. An optimization device for a molten salt thermal energy storage system, characterized in that: include: An analysis unit is used to analyze the effects of different heat extraction and release schemes on the efficiency of the thermal energy storage system based on a preset thermal calculation model and obtain analysis results; a determination unit, configured to determine the performance and model of a target heat exchanger based on the analysis results, and to determine a heat release optimization scheme and system parameters of the thermal energy storage system under different operating conditions; The optimization unit is used to optimize the molten salt thermal energy storage system according to the performance and model of the target heat exchanger, the heat release optimization scheme of the thermal energy storage system under different working conditions and key parameters.

7. The optimization device for the molten salt thermal energy storage system according to claim 1, characterized in that: The determining unit is further configured to: Constructing a thermal calculation model of the molten salt thermal energy storage system; Based on the thermal calculation model, the influence of the performance and models of different target heat exchangers on the molten salt thermal energy storage system is determined, and the heat release optimization scheme and system parameters of the thermal energy storage system under different working conditions are determined.

8. An electronic device, characterized in that: include: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 5.

9. A non-transitory computer-readable storage medium storing computer instructions, characterized in that: The computer instructions are used to cause the computer to execute the method according to any one of claims 1 to 5.

10. A computer program product, characterized in that The invention comprises a computer program which, when executed by a processor, implements the method according to any one of claims 1 to 5.

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