Dynamic control method and device for a solar-driven air water collection and hydrogen production coupling system

Abstract

The present invention provides a dynamic control method and device for a solar-driven air water collection and hydrogen production coupling system, which relates to the technical field of new energy utilization. The solar-driven air water collection and hydrogen production coupling system includes a photovoltaic module, a solar thermal power generation module, a solar air water collector, an electrolytic water hydrogen production device, and a photolytic water hydrogen production device. The dynamic control method includes: constructing an output prediction model for the solar-driven air water collection and hydrogen production coupling system; dynamically adjusting the solar-driven air water collection and hydrogen production coupling system based on the output data of the output prediction model. Among them, the output data of the output prediction model includes: hydrogen production, system efficiency, total energy consumption, total cost, system stability index, output power of the photovoltaic module, output power of the solar thermal power generation module, water production of the solar air water collector, efficiency of the electrolytic water hydrogen production device, and efficiency of the photolytic water hydrogen production device. The present invention can minimize costs, maximize the utilization of solar energy, and effectively increase hydrogen production.

Description

Background Art

[0002] With the continuous growth of the global demand for clean energy and the increasing emphasis on environmental protection, solar energy utilization technology, solar air water collection technology, and hydrogen production technology have received extensive attention and development.

[0003] Solar energy utilization technology can convert abundant solar energy into electrical energy or heat energy, providing sustainable energy for human production and life. The more common solar energy utilization technologies include photovoltaic power generation and solar thermal power generation. Among them, photovoltaic power generation directly converts sunlight into electrical energy through solar cells, with advantages such as flexible installation and convenient maintenance; solar thermal power generation uses a solar collector to convert sunlight into heat energy, and then converts the heat energy into electrical energy through a heat engine, which is suitable for large-scale power production.

[0004] Solar air water collection technology can collect and extract moisture from the air, providing a water source solution for water-scarce areas. The more common solar air water collection technologies include solar air water collectors and solar-driven air water collection systems. Among them, solar air water collectors use the heat energy and hot steam converted by solar energy to collect and extract moisture in the air, and the equipment is relatively simple; the solar-driven air water collection system works in cooperation with equipment such as solar collectors, air compressors, and steam generators, improving the efficiency of moisture collection and extraction, but the equipment cost is high and a large amount of energy is required for operation.

[0005] Hydrogen production technology can convert water or other raw materials into hydrogen. As a clean energy carrier, hydrogen has advantages such as a high calorific value of combustion and no pollution. The more common hydrogen production technologies include water electrolysis for hydrogen production and photocatalytic hydrogen production. Among them, water electrolysis for hydrogen production generates hydrogen and oxygen through electrolysis of water. The technology is relatively mature, but the energy utilization efficiency is low and a large amount of electrical energy is required; photocatalytic hydrogen production uses a photocatalyst to decompose water molecules into hydrogen and oxygen under light irradiation, with good environmental protection characteristics, but the energy conversion efficiency is low and ultraviolet light is required.

[0006] However, in the process of using solar energy to drive air water collection and coupled hydrogen production in the existing technology, the energy conversion efficiencies of photovoltaic power generation technology and solar thermal power generation technology are generally not high, only 15%-25% and 20%-30% respectively, and there is still a large room for improvement; the moisture collection and extraction efficiency of solar air water collectors is low in a low-humidity environment. Although the solar-driven air water collection system has a high efficiency, the equipment cost is high and the operating energy consumption is large; the energy utilization efficiency of water electrolysis for hydrogen production technology is low and it depends on a large amount of electrical energy, and the energy conversion efficiency of photocatalytic hydrogen production technology is low and it requires ultraviolet light. Summary of the Invention

[0007] To overcome the problems existing in the related technologies, the present invention provides a dynamic control method and device for a solar-driven air water collection coupled hydrogen production system.

[0008] According to the first aspect of the embodiments of the present invention, there is provided a dynamic control method for a solar-driven air water collection coupled hydrogen production system, where the solar-driven air water collection coupled hydrogen production system includes a photovoltaic module, a solar thermal power generation module, a solar air water collector, an electrolytic water hydrogen production device, and a photolytic water hydrogen production device;

[0009] The dynamic control method includes:

[0010] Construct an output prediction model for the solar-driven air water collection coupled hydrogen production system;

[0011] Dynamically adjust the solar-driven air water collection coupled hydrogen production system based on the output data of the output prediction model;

[0012] Among them, the output data of the output prediction model includes: hydrogen production, system efficiency, total energy consumption, total cost, system stability index, output power of the photovoltaic module, output power of the solar thermal power generation module, water production of the solar air water collector, efficiency of the electrolytic water hydrogen production device, and efficiency of the photolytic water hydrogen production device.

[0013] In some exemplary embodiments of the present invention, based on the foregoing solution, constructing an output prediction model for the solar-driven air water collection coupled hydrogen production system includes:

[0014] Obtain meteorological data and relevant operation data and operation data of the solar-driven air water collection coupled hydrogen production system;

[0015] Preprocess the meteorological data, the relevant operation data, and the operation data to obtain preprocessed input data;

[0016] According to the preprocessed input data, with the maximization of system efficiency, the maximization of hydrogen production, the minimization of energy consumption, the minimization of cost, and the optimal system stability as the goals, establish the objective function and constraint conditions of the output prediction model;

[0017] Solve the objective function to obtain the optimal solution set;

[0018] Based on the optimal solution set, obtain the output prediction model.

[0019] In some exemplary embodiments of the present invention, based on the foregoing solution, the objective function of the output prediction model includes:

[0020]

[0021] Among them, 、 , , , are weight coefficients used to balance the importance of different objectives. represents the system efficiency, represents the hydrogen production, represents the total system energy consumption, represents the total cost, represents the system performance index.

[0022] In some exemplary embodiments of the present invention, based on the foregoing solution, the maximization of the system efficiency is expressed as:

[0023]

[0024] The maximization of the hydrogen production is expressed as:

[0025]

[0026] The minimization of the energy consumption is expressed as:

[0027]

[0028] The minimization of the cost is expressed as:

[0029]

[0030] The optimization of the system stability is expressed as:

[0031]

[0032] Wherein, represents the system efficiency, represents the hydrogen production, represents the solar input, represents at time the volume of hydrogen gas produced, represents the time interval, represents the total energy consumption, represents the energy consumed by the photovoltaic module, represents the energy consumed by the air intake water pump, represents the energy consumed for hydrogen production by electrolyzing water, represents the total cost, represents the capital cost, represents the operating cost, represents the energy cost, represents the system performance index, represents the hydrogen production standard deviation of, represents at time the hydrogen production within, represents the average value of hydrogen production, represents the number of data points.

[0033] In some exemplary embodiments of the present invention, based on the foregoing solution, the constraint conditions include:

[0034] The hydrogen production is greater than or equal to the minimum production requirement;

[0035] The ratio of hydrogen production to solar input is greater than or equal to the minimum energy efficiency ratio;

[0036] The performance fluctuation index is less than or equal to the maximum fluctuation tolerance;

[0037] The solar input is less than or equal to the maximum solar capture capacity;

[0038] The equipment load is less than or equal to the maximum equipment capacity;

[0039] The equipment operation time is less than or equal to the equipment life;

[0040] The total cost is less than or equal to the budget ceiling;

[0041] The operation cost is less than or equal to the maximum operation cost;

[0042] The environmental impact index is less than or equal to the environmental standard;

[0043] The safety risk index is less than or equal to the safety threshold;

[0044] The operation parameter is greater than or equal to the lower limit of the operation parameter and less than or equal to the upper limit of the operation parameter;

[0045] The maintenance frequency is greater than or equal to the minimum maintenance frequency.

[0046] In some exemplary embodiments of the present invention, based on the foregoing solution, solving the objective function includes:

[0047] Solving the objective function by using the non-dominated sorting genetic algorithm II.

[0048] In some exemplary embodiments of the present invention, based on the foregoing solution, obtaining an output prediction model based on the optimal solution set includes:

[0049] Training a neural network by using the optimal solution set to obtain the output prediction model.

[0050] According to the second aspect of the embodiments of the present invention, there is provided an apparatus for a dynamic control method based on the above solar-driven air water collection and hydrogen production coupling system, including:

[0051] A model construction module, configured to construct an output prediction model of the solar-driven air water collection and hydrogen production coupling system;

[0052] A dynamic regulation module for dynamically adjusting the solar-driven air water collection and hydrogen production coupling system based on the output data of the output prediction model.

[0053] According to a third aspect of an embodiment of the present invention, there is provided an electronic device, including: a processor; and a memory, on which computer-readable instructions are stored, and when the computer-readable instructions are executed by the processor, the method in the first aspect is implemented.

[0054] According to a fourth aspect of an embodiment of the present invention, there is provided a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the method in the first aspect is implemented.

[0055] The technical solution provided by the embodiment of the present invention may include the following beneficial effects:

[0056] By constructing an output prediction model, the present invention can accurately predict key indicators such as hydrogen production and system efficiency. Based on these prediction data for dynamic adjustment, the system can always operate in an optimal state, make full use of solar energy resources, avoid energy waste, improve the conversion efficiency of solar energy, and significantly increase hydrogen production and system efficiency at the same time.

[0057] In addition, the present invention can be adjusted according to different climate conditions, solar radiation intensity, air humidity and other factors, so that the system can maintain a good operating state in various environments and has strong adaptability.

[0058] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] The accompanying drawings herein are incorporated into the specification and form a part of the present invention, showing embodiments consistent with the present invention, and are used together with the specification to explain the principles of the present invention.

[0060] Figure 1 A schematic diagram of a system architecture showing an exemplary application environment of a dynamic control method and apparatus for a solar-driven air water collection and hydrogen production coupling system to which embodiments of the present invention can be applied;

[0061] Figure 2 A schematic flowchart showing the dynamic control method of a solar-driven air water collection and hydrogen production coupling system according to some embodiments of the present invention;

[0062] Figure 3 A schematic diagram showing the dynamic control device of a solar-driven air water collection and hydrogen production coupling system according to some embodiments of the present invention;

[0063] Figure 4 Schematically shows a schematic diagram of the structure of a computer system of an electronic device according to some embodiments of the present invention;

[0064] Figure 5 Schematically shows a schematic diagram of a computer-readable storage medium according to some embodiments of the present invention. Detailed implementation manners

[0065] Here, exemplary embodiments will be described in detail, and examples thereof are shown in the drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The implementation manners described in the following exemplary embodiments do not represent all implementation manners consistent with the present invention. On the contrary, they are merely examples of devices and methods consistent with some aspects of the present invention as detailed in the appended claims.

[0066] The terms used in the present invention are for the purpose of describing specific embodiments only and are not intended to limit the present invention. The singular forms "a", "the", and "said" used in the present invention and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term "and / or" as used herein refers to and includes any and all possible combinations of one or more of the associated listed items.

[0067] It should be understood that although the terms first, second, third, etc. may be used in the present invention to describe various information, such information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of the present invention, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the word "if" as used herein may be interpreted as "when" or "while" or "in response to determining".

[0068] Figure 1 Shows a schematic diagram of the system architecture of an exemplary application environment of a dynamic control method and device for a solar-driven air water collection and hydrogen production coupling system to which embodiments of the present invention can be applied.

[0069] Such as Figure 1As shown, the system architecture 100 may include one or more terminal devices such as a desktop computer 101, a portable computer 102, a smart phone 103, etc., a network 104, and a server 105. The network 104 is used to provide a medium for a communication link between the terminal device and the server 105. The network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, etc. The terminal device may be various electronic devices with data processing functions, and a display screen is provided on the electronic device, and the display screen is used to display the dynamic control information of the solar-driven air water collection coupled hydrogen production system to the user, including but not limited to the above-mentioned desktop computer, portable computer, smart phone, etc. It should be understood that Figure 1 the numbers of the terminal devices, networks, and servers in

[0070] The dynamic control method of the solar-driven air water collection coupled hydrogen production system provided by the embodiments of the present invention can generally be executed by the terminal device. Correspondingly, the dynamic control device of the solar-driven air water collection coupled hydrogen production system is generally arranged in the terminal device. However, those skilled in the art can easily understand that the dynamic control method of the solar-driven air water collection coupled hydrogen production system provided by the embodiments of the present invention can also be executed by the server 105. Correspondingly, the dynamic control device of the solar-driven air water collection coupled hydrogen production system can also be arranged in the server 105. No special limitation is made in this exemplary embodiment.

[0071] In addition, it should be understood that the dynamic control method of the solar-driven air water collection coupled hydrogen production system according to the embodiments of the present invention can be configured as a software module. In some implementation scenarios, the dynamic control solution of the solar-driven air water collection coupled hydrogen production system of the present invention can be deployed independently to realize the construction and generation of three-dimensional space information corresponding to different types of independent pipelines. In other implementation scenarios, the dynamic control solution of the solar-driven air water collection coupled hydrogen production system of the present invention can be deployed in other software as a functional module of the software, such as being deployed in the analysis software of underground pipelines. The present invention does not make any special restrictions on the application mode of the dynamic control method of the solar-driven air water collection coupled hydrogen production system.

[0072] Next, the embodiments of the present invention will be described in detail.

[0073] The solar-driven air water collection and hydrogen production coupling system of the present invention includes a photovoltaic module, a solar thermal power generation module, a solar air water collector, an electrolytic water hydrogen production device, and a photolytic water hydrogen production device. Among them, the photovoltaic module and the solar thermal power generation module are mainly used for generating electricity by using solar energy resources; the solar air water collector is used for collecting water by using solar energy resources; the electrolytic water hydrogen production device uses the electric energy generated by the photovoltaic module and the solar thermal power generation module, and the photolytic water hydrogen production device uses sunlight, and the two respectively produce hydrogen from the water collected by the solar air water collector.

[0074] On this basis, referring to Figure 2 as shown, Figure 2 FIG. is a flowchart of a dynamic control method for a solar-driven air water collection and hydrogen production coupling system according to an exemplary embodiment of the present invention, including the following steps:

[0075] S210: Construct an output prediction model for the solar-driven air water collection and hydrogen production coupling system;

[0076] S220: Dynamically adjust the solar-driven air water collection and hydrogen production coupling system based on the output data of the output prediction model;

[0077] Among them, the output data of the output prediction model includes: hydrogen production, system efficiency, total energy consumption, total cost, system stability index, output power of the photovoltaic module, output power of the solar thermal power generation module, water production of the solar air water collector, efficiency of the electrolytic water hydrogen production device, and efficiency of the photolytic water hydrogen production device.

[0078] In S210, an output prediction model for the solar-driven air water collection and hydrogen production coupling system is constructed.

[0079] By constructing the output prediction model, key indicators such as hydrogen production and system efficiency can be accurately predicted.

[0080] In some embodiments, based on the relevant data of the solar-driven air water collection and hydrogen production coupling system, machine learning methods, deep learning methods, etc. can be used to construct an output prediction model for the solar-driven air water collection and hydrogen production coupling system.

[0081] In the embodiments provided by the present invention, constructing the output prediction model for the solar-driven air water collection and hydrogen production coupling system includes:

[0082] Obtain meteorological data and relevant operation data and operation data of the solar-driven air water collection and hydrogen production coupling system;

[0083] Preprocess the meteorological data, the relevant operation data, and the operation data to obtain preprocessed input data;

[0084] Based on the preprocessed input data, establish the objective function and constraint conditions of the output prediction model with the goals of maximizing system efficiency, maximizing hydrogen production, minimizing energy consumption, minimizing cost, and optimizing system stability;

[0085] Solve the objective function to obtain the optimal solution set;

[0086] Based on the optimal solution set, obtain the output prediction model.

[0087] Here, meteorological data includes light intensity, temperature, humidity, wind speed, etc., which have an important impact on the performance of solar energy-related equipment; the operating data of the system includes the output power of photovoltaic modules, the output power of solar thermal power generation components, the water production of solar air water collectors, the working state parameters of electrolytic water hydrogen production devices and photolytic water hydrogen production devices, etc. The operation data includes the start time and stop time of the equipment, the tilt angle of the photovoltaic module, the operation mode of the air water intake device, the working current of the electrolytic cell, etc.

[0088] Since this data is huge and complex, it is first necessary to preprocess this data. In some embodiments, the preprocessing process is not limited to:

[0089] Data cleaning, data normalization or standardization, data compression, feature selection, feature construction, and data conversion, etc. Since these data processing processes are prior art, the present invention will not elaborate.

[0090] Based on the preprocessed input data, establish the objective function and constraint conditions of the output prediction model with the goals of maximizing system efficiency, maximizing hydrogen production, minimizing energy consumption, minimizing cost, and optimizing system stability. These five goals cover multiple aspects such as system performance, economic benefits, and stability, reflecting the comprehensive optimization of the system. The objective function can be a weighted sum of multiple goals or other forms of combinations, and the constraint conditions may include equipment performance limitations, resource availability limitations, safety limitations, etc.

[0091] In some embodiments, the objective function of the output prediction model includes:

[0092]

[0093] Among them, , , , , are weight coefficients used to balance the importance of different goals, represents system efficiency, represents hydrogen production, represents the total energy consumption of the system, represents the total cost, Indicates the system performance index.

[0094] Furthermore, the maximization of system efficiency is expressed as:

[0095]

[0096] The maximization of the hydrogen production is expressed as:

[0097]

[0098] The minimization of the energy consumption is expressed as:

[0099]

[0100] The minimization of the cost is expressed as:

[0101]

[0102] The optimization of the system stability is expressed as:

[0103]

[0104] Wherein, represents the system efficiency, represents the hydrogen production, represents the solar input, represents at time the volume of hydrogen gas produced within, represents the time interval, represents the total energy consumption, represents the energy consumed by the photovoltaic module, represents the energy consumed by the air intake pump, represents the energy consumed for hydrogen production by electrolyzing water, represents the total cost, represents the capital cost, represents the operating cost, represents the energy cost, represents the system performance index, represents the hydrogen production standard deviation of, represents at time the hydrogen production within, represents the average value of the hydrogen production, represents the number of data points.

[0105] On this basis, the constraint conditions of the present invention include:

[0106] The hydrogen production is greater than or equal to the minimum production requirement;

[0107] The ratio of hydrogen production to solar input is greater than or equal to the minimum energy efficiency ratio;

[0108] The performance fluctuation index is less than or equal to the maximum fluctuation tolerance;

[0109] The solar input is less than or equal to the maximum solar capture capacity;

[0110] The equipment load is less than or equal to the maximum equipment capacity;

[0111] The equipment operation time is less than or equal to the equipment life;

[0112] The total cost is less than or equal to the budget ceiling;

[0113] The operating cost is less than or equal to the maximum operating cost;

[0114] The environmental impact index is less than or equal to the environmental standard;

[0115] The safety risk index is less than or equal to the safety threshold;

[0116] The operating parameters are greater than or equal to the lower limit of the operating parameters and less than or equal to the upper limit of the operating parameters;

[0117] The maintenance frequency is greater than or equal to the minimum maintenance frequency.

[0118] Through these constraints, it can fully reflect that the present invention pursues the optimal solution of the objective function on the basis of considering practicability, economy and safety.

[0119] The objective function of the present invention can be solved by using multi-objective optimization algorithms, such as genetic algorithms, particle swarm optimization algorithms, simulated annealing algorithms, etc. The present invention does not make any restrictions. As an implementation manner, the present invention uses the non-dominated sorting genetic algorithm II to solve the objective function. The non-dominated sorting genetic algorithm II (NSGA-II) uses fast non-dominated sorting to classify individuals in the population, which helps to quickly identify non-dominated solutions at different levels and improve the calculation efficiency. And during the calculation process, not only is it unnecessary to define weights, but also the crowding distance of each solution in its neighborhood can be calculated to maintain the population diversity and avoid the algorithm from prematurely converging to the local optimal solution. Since the objective function of the present invention is produced by fully considering various factors, using NSGA-II can better solve the calculation problem of the objective function.

[0120] Specifically, the process of using the non-dominated sorting genetic algorithm II to solve the objective function includes:

[0121] 1. Initialize the population;

[0122] 2. Calculate the objective function value and constraint violation degree of each individual in the current population;

[0123] 3. Perform non - dominated sorting on the population according to the objective function values, and divide the individuals into different non - dominated fronts;

[0124] 4. Use the tournament selection method to select parent individuals for crossover and mutation to generate a new generation of population;

[0125] 5. Merge the new generation of population and the old population;

[0126] 6. Sort the merged population according to non - dominated sorting and crowding distance, and select the best individuals to form a new population;

[0127] 7. Determine whether the current iteration meets the termination condition. If so, output the new population as the optimal solution set; otherwise, use the new population as the current population and return to step 2.

[0128] Here, the termination condition can be to meet a preset number of iterations.

[0129] On this basis, after obtaining the optimal solution, the optimal solution set can be used as input data for mathematical models, statistical models, or machine learning models, etc., to train the models, and then an output prediction model can be obtained. In the embodiment of the present invention, the optimal solution set is used to train a neural network model to obtain an output prediction model. The neural network model can be any form of neural network model, and the present invention does not make any restrictions.

[0130] In S220, based on the output data of the output prediction model, perform dynamic adjustment on the solar - driven air - water - collecting hydrogen - production coupled system.

[0131] Performing dynamic adjustment on the solar - driven air - water - collecting hydrogen - production coupled system can enable the system to always operate in an optimal state, make full use of solar energy resources, avoid energy waste, improve the conversion efficiency of solar energy, and significantly increase the hydrogen production and system efficiency at the same time. Moreover, regardless of the influence of factors such as climate conditions, solar radiation intensity, and air humidity, the present invention can enable the system to maintain a good operating state in various environments and has strong adaptability.

[0132] The output prediction model will generate a series of data, including hydrogen production, system efficiency, total energy consumption, total cost, system stability index, output power of photovoltaic modules, output power of solar thermal power generation components, water production of solar air - water collectors, efficiency of electrolytic water hydrogen - production devices, and efficiency of photocatalytic water - splitting hydrogen - production devices, etc. These data comprehensively reflect the performance of the solar - driven air - water - collecting hydrogen - production coupled system under different conditions.

[0133] According to the second aspect of the embodiments of the present invention, a dynamic control device for a solar - driven air - water - collecting hydrogen - production coupled system is further provided. Refer to Figure 3As shown, the dynamic control device of the solar-driven air water collection and hydrogen production coupling system includes a model construction module 310 and a dynamic regulation module 320;

[0134] The model construction module 310 is used to construct an output prediction model of the solar-driven air water collection and hydrogen production coupling system;

[0135] The dynamic regulation module 320 is used to dynamically adjust the solar-driven air water collection and hydrogen production coupling system based on the output data of the output prediction model.

[0136] In an exemplary embodiment of the present invention, based on the foregoing solution, the model construction module 310 may further include:

[0137] A data acquisition sub-module, which is used to acquire meteorological data and relevant operation data and operation data of the solar-driven air water collection and hydrogen production coupling system;

[0138] A preprocessing sub-module, which is used to preprocess the meteorological data, the relevant operation data and the operation data to obtain preprocessed input data;

[0139] A function establishment sub-module, which is used to establish the objective function and constraint conditions of the output prediction model according to the preprocessed input data with the goals of maximizing system efficiency, maximizing hydrogen production, minimizing energy consumption, minimizing cost and optimizing system stability;

[0140] A function solving sub-module, which is used to solve the objective function to obtain an optimal solution set;

[0141] A model generation sub-module, which is used to obtain an output prediction model based on the optimal solution set.

[0142] It should be noted that although several modules and sub-modules of the dynamic control device of the solar-driven air water collection and hydrogen production coupling system are mentioned in the above detailed description, this division is not mandatory. In fact, according to the embodiments of the present invention, the features and functions of two or more of the above-described modules or sub-modules may be embodied in one module or unit. Conversely, the features and functions of one module or sub-module described above may be further divided and embodied by multiple modules or sub-modules.

[0143] In addition, in an exemplary embodiment of the present invention, an electronic device capable of implementing the above-mentioned dynamic control method of the solar-driven air water collection and hydrogen production coupling system is also provided.

[0144] Those skilled in the art can understand that various aspects of the present invention can be implemented as a system, a method, or a program product. Therefore, various aspects of the present invention can be specifically implemented in the following forms, namely: a complete hardware embodiment, a complete software embodiment (including firmware, microcode, etc.), or an embodiment combining hardware and software aspects, which can be collectively referred to herein as "circuit", "module", or "system".

[0145] Reference is now made to Figure 4 to describe the electronic device 400 according to such an embodiment of the present invention. Figure 4 The illustrated electronic device 400 is merely an example and should not impose any limitation on the functions and scope of use of the embodiments of the present invention.

[0146] As Figure 4 shown, the electronic device 400 is presented in the form of a general-purpose computing device. The components of the electronic device 400 may include, but are not limited to: at least one of the above-mentioned processing units 410, at least one of the above-mentioned storage units 420, a bus 430 connecting different system components (including the storage unit 420 and the processing unit 410), and a display unit 440.

[0147] Among them, the storage unit stores program code, and the program code can be executed by the processing unit 410, so that the processing unit 410 executes the steps according to various exemplary embodiments of the present invention described in the above "Exemplary Method" part of the present invention. For example, the processing unit 410 can execute S210 as shown in Figure 2 to build an output prediction model for the solar-driven air water collection and hydrogen production coupling system; S220, dynamically adjust the solar-driven air water collection and hydrogen production coupling system based on the output data of the output prediction model.

[0148] The storage unit 420 may include a readable medium in the form of a volatile storage unit, such as a random access storage unit (RAM) 421 and / or a cache storage unit 422, and may further include a read-only storage unit (ROM) 423.

[0149] The storage unit 420 may further include a program / utility 424 having a set (at least one) of program modules 425. Such program modules 425 include, but are not limited to: an operating system, one or more application programs, other program modules, and program data. Each or some combination of these examples may include the implementation of a network environment.

[0150] The bus 430 may represent one or more of several types of bus structures, including a storage unit bus or a storage unit controller, a peripheral bus, a graphics acceleration port, a processing unit, or a local bus using any bus structure in a variety of bus structures.

[0151] The electronic device 400 can also communicate with one or more external devices 470 (such as a keyboard, a pointing device, a Bluetooth device, etc.), and can also communicate with one or more devices that enable a user to interact with the electronic device 400, and / or communicate with any device that enables the electronic device 400 to communicate with one or more other computing devices (such as a router, a modem, etc.). Such communication can be carried out through the input / output (I / O) interface 450. Moreover, the electronic device 400 can also communicate with one or more networks (such as a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) through the network adapter 460. As shown in the figure, the network adapter 460 communicates with other modules of the electronic device 400 through the bus 430. It should be understood that, although not shown in the figure, other hardware and / or software modules can be used in combination with the electronic device 400, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, etc.

[0152] Through the description of the above embodiments, those skilled in the art can easily understand that the exemplary embodiments described herein can be implemented by software, or can be implemented by a manner of software combined with necessary hardware. Therefore, the technical solution according to the embodiments of the present invention can be embodied in the form of a software product, and the software product can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, including several instructions to enable a computing device (which can be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the embodiments of the present invention.

[0153] In an exemplary embodiment of the present invention, there is also provided a computer-readable storage medium, on which a program product capable of implementing the above method of the present invention is stored. In some possible embodiments, various aspects of the present invention can also be implemented in the form of a program product, which includes program code. When the program product runs on a terminal device, the program code is used to enable the terminal device to execute the steps according to various exemplary embodiments of the present invention described in the "Exemplary Method" section above of the present invention.

[0154] Reference Figure 5 As shown, a program product 500 for implementing the above-mentioned dynamic control method of the solar-driven air water collection and hydrogen production coupling system according to the embodiments of the present invention is described. It can adopt a portable compact disc read-only memory (CD-ROM) and include program code, and can run on a terminal device, such as a personal computer. However, the program product of the present invention is not limited thereto. In the present invention, the readable storage medium can be any tangible medium that contains or stores a program, and the program can be used by or in combination with an instruction execution system, device, or device.

[0155] The program product may employ any combination of one or more readable storage media. The readable storage media may be, for example, but not limited to, a system, apparatus, or device of electricity, magnetism, light, electromagnetic, infrared, or semiconductor, or any combination of the foregoing. More specific examples of the readable storage media (a non-exhaustive list) include: an electrical connection having one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0156] The program code for performing the operations of the present invention may be written in any combination of one or more programming languages, including object-oriented programming languages such as Java, C++, etc., and also including conventional procedural programming languages such as the "C" language or similar programming languages. The program code may be executed entirely on the user's computing device, partially on the user's device, executed as a stand-alone software package, partially on the user's computing device and partially on a remote computing device, or entirely on a remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user's computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computing device (e.g., by connecting through the Internet using an Internet service provider).

[0157] In addition, the above-mentioned drawings are only schematic illustrations of the processes included in the method according to the exemplary embodiments of the present invention, rather than for limiting purposes. It is easy to understand that the processes shown in the above-mentioned drawings do not indicate or limit the chronological order of these processes. Additionally, it is also easy to understand that these processes may be executed synchronously or asynchronously in, for example, multiple modules.

[0158] Through the description of the above embodiments, those skilled in the art can easily understand that the exemplary embodiments described herein can be implemented by software or by a combination of software and necessary hardware. Therefore, the technical solution according to the embodiments of the present invention can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which may be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, including several instructions to enable a computing device (which may be a personal computer, a server, a touch terminal, or a network device, etc.) to execute the method according to the embodiments of the present invention.

[0159] Other embodiments of the present invention will be readily apparent to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. The present invention is intended to cover any variations, uses, or adaptations of the invention, which follow the general principles of the invention and include known common general knowledge or conventional technical means in the technical field not disclosed by the present invention. The specification and examples are only regarded as exemplary, and the true scope and spirit of the present invention are pointed out by the claims.

[0160] It should be understood that the present invention is not limited to the exact structures described above and shown in the drawings, and various modifications and changes can be made without departing from its scope. The scope of the present invention is only limited by the appended claims.

Claims

1. A dynamic control method for a solar-driven air-water collection coupled hydrogen production system, characterized in that: The solar-driven air-water collection coupled hydrogen production system comprises a photovoltaic module, a solar thermal power generation module, a solar-air water collector, a water electrolysis hydrogen production device and a water photolysis hydrogen production device; The dynamic control method comprises: Construct an output prediction model for a solar-driven air-water harvesting coupled hydrogen production system; Dynamically adjusting the solar-driven air-water collection coupled hydrogen production system based on the output data of the output prediction model; The output data of the output prediction model include: hydrogen production, system efficiency, total energy consumption, total cost, system stability index, photovoltaic module output power, solar thermal power generation module output power, solar air water collector water production, water electrolysis hydrogen production device efficiency and photolysis water hydrogen production device efficiency; constructing an output prediction model for a solar-driven air water collection coupled hydrogen production system includes: Acquiring meteorological data and relevant running data and operation data of the solar-driven air-water collection coupled hydrogen production system; Preprocessing the meteorological data, the relevant operation data and the operation data to obtain preprocessed input data; According to the pre-processed input data, the objective function and constraint conditions of the output prediction model are established with the goals of maximizing system efficiency, maximizing hydrogen production, minimizing energy consumption, minimizing costs and optimizing system stability; Solving the objective function to obtain an optimal solution set; Based on the optimal solution set, an output prediction model is obtained; The objective function of the output prediction model includes: in, , , , , is the weight coefficient, which is used to balance the importance of different objectives. represents the system efficiency, is the hydrogen production, represents the total energy consumption of the system, represents the total cost, Indicates system performance indicators; The constraints include: The hydrogen production is greater than or equal to the minimum production requirement; The ratio of hydrogen production to solar energy input is greater than or equal to the minimum energy efficiency ratio; The performance fluctuation index is less than or equal to the maximum fluctuation tolerance; Solar input is less than or equal to the maximum solar capture capacity; The equipment load is less than or equal to the maximum capacity of the equipment; The equipment operation time is less than or equal to the equipment life; The total cost is less than or equal to the budget cap; The operating cost is less than or equal to the maximum operating cost; Environmental impact indicators are less than or equal to environmental standards; The safety risk index is less than or equal to the safety threshold; The operating parameter is greater than or equal to the lower limit of the operating parameter and less than or equal to the upper limit of the operating parameter; The maintenance frequency is greater than or equal to the minimum maintenance frequency.

2. The dynamic control method of the solar-driven air-water collection coupled hydrogen production system according to claim 1 is characterized in that: The system efficiency maximization is expressed as: The maximum hydrogen production is expressed as: The energy consumption minimization is expressed as: The cost minimization is expressed as: The optimal expression of the system stability is: in, represents the system efficiency, is the hydrogen production, represents the solar energy input, Indicates at time The volume of hydrogen produced in Indicates the time interval, represents the total energy consumption, Indicates the energy consumed by the photovoltaic module, Indicates the energy consumed by the air water pump, The energy consumed by electrolyzing water to produce hydrogen is represents the total cost, represents the capital cost, represents the operating cost, represents the energy cost, Indicates system performance indicators. Indicates hydrogen production The standard deviation of Indicates at time The hydrogen production in represents the average value of hydrogen production, Represents the number of data points.

3. The dynamic control method of the solar-driven air-water collection coupled hydrogen production system according to claim 1 is characterized in that: Solving the objective function includes: The objective function is solved using a non-dominated sorting genetic algorithm II.

4. The dynamic control method of the solar-driven air-water collection coupled hydrogen production system according to claim 2 is characterized in that: Based on the optimal solution set, the output prediction model is obtained including: The optimal solution set is used to train a neural network to obtain the output prediction model.

5. A device for dynamically controlling the solar-driven air-water collection coupled hydrogen production system according to any one of claims 1 to 4, characterized in that: The device comprises: Model building module, used to build the output prediction model of the solar-driven air-water harvesting coupled hydrogen production system; A dynamic control module is used to dynamically adjust the solar-driven air-water collection coupled hydrogen production system based on the output data of the output prediction model.

6. An electronic device, characterized in that: include: processor; as well as A memory having computer-readable instructions stored thereon, wherein the computer-readable instructions, when executed by the processor, implement the dynamic control method of the solar-driven air-water collection coupled hydrogen production system as described in any one of claims 1 to 4.

7. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed by a processor, the dynamic control method of the solar-driven air-water collection coupled hydrogen production system as described in any one of claims 1 to 4 is implemented.

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