Two-stage AMTEC-TRD solar thermal power generation system and parameter optimization method thereof

Abstract

The invention discloses a two-stage AMTEC-TRD solar thermal power generation system and a parameter optimization method thereof, particularly relates to the technical field of thermal power generation systems, and is technically characterized in that the system comprises a butterfly type solar thermal collector, two-stage AMTEC equipment and TRD equipment, and the butterfly type solar thermal collector is used for receiving solar energy, converting the solar energy into heat energy and transmitting the heat energy to the two-stage AMTEC equipment; the two-stage AMTEC equipment is connected with the butterfly type solar heat collector and is used for receiving heat energy and converting the heat energy into electric energy; the TRD equipment is connected with the two-stage AMTEC equipment and used for receiving waste heat generated by the two-stage AMTEC equipment and converting the waste heat of the two-stage AMTEC equipment into electric energy, the waste heat generated by the two-stage alkali metal thermoelectric converter can be utilized by additionally arranging heat radiation equipment, the conversion power and efficiency of the system are further improved, and the effects of energy conservation and emission reduction are achieved; meanwhile, through the provided parameter optimization method, the performance of the two-stage AMTEC-TRD solar thermal power generation system and an optimization selection strategy of important parameters can be obtained, so that the conversion efficiency after the two-stage AMTEC equipment and the TRD equipment are combined is improved.

Description

Technical Field

[0001] The invention relates to the technical field of thermal power generation systems, and in particular to a two-stage AMTEC-TRD solar thermal power generation system and a parameter optimization method thereof. Background Art

[0002] Solar power generation is a renewable energy technology that uses solar light sources to generate electricity. It relies on sunlight shining on solar panels and then directly converting solar energy into electricity through the photovoltaic effect. To date, the most widely used are silicon solar cells based on pn junctions, but their maximum energy conversion efficiency is limited by the Shockley-Queisser limit. Therefore, it is of vital importance to find new ways to improve the utilization of solar energy, that is, to effectively convert light energy into electricity. The solar thermal power generation system uses solar light to first convert light energy into heat energy and then convert heat energy into electricity. This technology is an effective way to overcome the Shockley-Queisser limit. In-depth research on new solar thermal power generation systems will help develop cost-effective, high-performance solar cells and improve the conversion and utilization of solar energy.

[0003] However, the large-scale application of traditional solar thermal power generation systems based on light-heat-electricity conversion is still very difficult. On the one hand, until modern solar thermal power generation systems, the initial investment is high, the maintenance cost is large, and the requirements for solar radiation resources and scale capacity are high. On the other hand, the efficiency of the thermal energy conversion system is limited by the laws of thermodynamics. The theoretical maximum efficiency that can be achieved is determined by the Carnot cycle, that is, the efficiency of the heat engine is determined by the difference between the lowest temperature and the highest temperature reached in a cycle. Finding a thermoelectric energy converter or system with a high temperature difference is an important part of improving the solar thermal power generation system.

[0004] Thermoelectric energy converters are devices that can directly convert two different forms of energy, "heat" and "electricity", without relying on any external force. However, the energy conversion efficiency of most single thermoelectric devices is not high, with an average efficiency of only about 20%. At the same time, studies have found that the energy conversion efficiency of alkali metal thermoelectric converters can reach 33.5% under certain conditions, and the energy conversion efficiency of two-stage alkali metal thermoelectric converters can reach 36.2% under certain conditions, but their low temperature is still higher than the ambient temperature, so the waste heat generated will cause a waste of heat energy and insufficient conversion efficiency.

[0005] Therefore, the present invention aims to provide a two-stage AMTEC-TRD solar thermal power generation system and a parameter optimization method thereof to solve the above-mentioned related problems. Summary of the invention

[0006] The technical problem to be solved by the present invention is that the efficiency of a single thermoelectric conversion device in the prior art is low, and part of the heat energy will be lost in the form of waste heat. The purpose is to provide a two-stage AMTEC-TRD solar thermal power generation system and a parameter optimization method thereof, and to combine the two-stage AMTEC device and the TRD device to construct a solar thermal power generation system. The waste heat generated by the two-stage alkali metal thermoelectric converter can be utilized by the added thermal radiation device to further improve the conversion power and efficiency of the system, thereby playing a role in energy conservation and emission reduction. At the same time, through the provided multi-objective parameter optimization method based on the Pareto front theory, an optimization selection strategy for important parameters of the two-stage AMTEC-TRD solar thermal power generation system can be obtained to improve the conversion efficiency of the solar thermal power generation system after the two-stage AMTEC device and the TRD device are combined.

[0007] The present invention is achieved through the following technical solutions:

[0008] A two-stage AMTEC-TRD solar thermal power generation system comprises a butterfly solar collector, a two-stage AMTEC device and a TRD device. The butterfly solar collector is used to receive solar energy and convert the solar energy into heat energy for transmission to the two-stage AMTEC device; the two-stage AMTEC device is connected to the butterfly solar collector and is used to receive heat energy and convert the heat energy into electrical energy; the TRD device is connected to the two-stage AMTEC device and is used to receive waste heat generated by the two-stage AMTEC device and convert the waste heat of the two-stage AMTEC device into electrical energy.

[0009] Furthermore, the butterfly-type solar thermal collector includes an optical lens and a thermal receiver, wherein the optical lens is used to receive solar energy, and the thermal receiver is used to convert the solar energy into thermal energy and transmit it to the two-stage AMTEC device.

[0010] The present invention also provides a parameter optimization method for a two-stage AMTEC-TRD solar thermal power generation system, the method comprising:

[0011] Determine the optimization parameters, construct a first objective function with the maximum system output power density, construct a second objective function with the maximum system output efficiency, and construct a third objective function with the maximum product of the system output power density and the output efficiency;

[0012] Constructing an initial parameter space based on preset parameter constraints, screening multiple optimization parameter points in the initial parameter space, and inputting each optimization parameter point into a first objective function, a second objective function, and a third objective function, respectively, to calculate multiple objective function values ​​corresponding to each optimization parameter point;

[0013] The system energy distribution space is constructed based on multiple objective function values ​​calculated at each optimization parameter point, and the system optimization characteristic curve and optimal parameter set are generated through the system energy distribution interval.

[0014] Furthermore, the preset parameter constraints are specifically:

[0015] C min ≤C≤C max &V TRmin ≤V TR ≤V TRmax &J 1min ≤J1≤J 1max &T Mmin ≤T M ≤T Mmax &T Cmin ≤T C ≤T Cmax &T Hmin ≤T H ≤T Hmax ; Where C represents the solar concentration of the butterfly solar collector; V TR represents the voltage of the thermal radiation device; J1 represents the current density of the first-stage AMTEC in the two-stage AMTEC device; T M represents the middle temperature of the two-stage AMTEC device; T C represents the condenser temperature of the two-stage AMTEC; T H Indicates the evaporator temperature of the two-stage AMTEC.

[0016] Furthermore, multiple parameter optimization points are screened in the initial parameter space, specifically:

[0017] A plurality of random parameter points are randomly screened in the initial parameter space, and then the randomly screened plurality of random parameter points are screened again according to the preset screening conditions to obtain a plurality of optimized parameter points, wherein each optimized parameter point includes a set of optimized parameters, wherein the preset screening conditions are specifically: p A ≥0&p B ≥0&η A ≥0&η B ≥0, p A represents the output power density of the two-stage AMTEC device subsystem; p B Represents the output power density of the TRD equipment subsystem; η A represents the subsystem efficiency of the two-stage AMTEC device; η B Indicates the subsystem efficiency of the TRD device.

[0018] Furthermore, the system energy distribution space is constructed based on multiple objective function values ​​calculated at each optimization parameter point, and the system optimization characteristic curve and the optimal parameter set are generated through the system energy distribution interval, specifically:

[0019] The system energy distribution space is constructed based on multiple objective function values ​​calculated based on each optimization parameter point, and then the objective function values ​​based on the optimization parameter points are filtered using the InternalListMin command, and the filtered objective function values ​​are tracked through the Position command to obtain the corresponding optimization parameter points. The obtained optimization parameter points are used to construct the system optimization parameter space, and the optimization parameters corresponding to the tracked optimization parameter points are extracted to generate the optimal parameter set corresponding to the system.

[0020] The present invention also provides a parameter optimization system for a two-stage AMTEC-TRD solar thermal power generation system, which is used in any one of the above-mentioned parameter optimization methods for a two-stage AMTEC-TRD solar thermal power generation system, and the system comprises:

[0021] The first module is used to determine the optimization parameters, construct the first objective function with the maximum total system output power density, construct the second objective function with the maximum total system output efficiency, and construct the third objective function with the maximum product of the total system output power density and output efficiency;

[0022] The second module is used to construct an initial parameter space based on preset parameter constraints, screen and obtain multiple optimization parameter points in the initial parameter space, and input each optimization parameter point into the first objective function, the second objective function and the third objective function respectively, and calculate and obtain multiple objective function values ​​corresponding to each optimization parameter point;

[0023] The third module is used to construct the system energy distribution space based on multiple objective function values ​​calculated at each optimization parameter point, and generate the system optimization characteristic curve and the corresponding optimal parameter set through the system energy distribution interval.

[0024] The present invention also provides a computer device, comprising a system memory and a processor, wherein the system memory stores a computer program, and the processor implements the steps of any one of the above-mentioned methods when executing the computer program.

[0025] The present invention also provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of any one of the methods described above are implemented.

[0026] The present invention also provides a computer program product comprising instructions, and when the instructions are executed by a computer device cluster, the computer device cluster executes any of the above methods.

[0027] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0028] In the present invention, a two-stage AMTEC device and a TRD device are combined to construct a solar thermal power generation system. The waste heat generated by the two-stage alkali metal thermoelectric converter can be utilized by the added thermal radiation device, thereby further improving the conversion power and efficiency of the system, thereby playing a role in energy conservation and emission reduction. At the same time, through the provided multi-objective parameter optimization method based on the Pareto front theory, an optimization selection strategy for important parameters of the two-stage AMTEC-TRD solar thermal power generation system can be obtained to improve the conversion efficiency of the solar thermal power generation system after the two-stage AMTEC device and the TRD device are combined. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments. It should be understood that the following drawings only illustrate certain embodiments of the present invention and should not be regarded as limiting the scope. For those of ordinary skill in the art, other relevant drawings can be obtained based on these drawings without creative work. In the drawings:

[0030] Figure 1 This is a schematic diagram of the structure of a two-stage AMTEC-TRD solar thermal power generation system in this embodiment;

[0031] Figure 2 This is a schematic diagram of a method flow of a parameter optimization method for a two-stage AMTEC-TRD solar thermal power generation system in this embodiment;

[0032] Figure 3 This is a verification and control schematic diagram of a parameter optimization method for a two-stage AMTEC-TRD solar thermal power generation system in this embodiment;

[0033] Figure 4 This is a schematic diagram of module connections of a parameter optimization system for a two-stage AMTEC-TRD solar thermal power generation system in this embodiment;

[0034] Figure 5 It is a structural schematic diagram of a computer device in this embodiment. DETAILED DESCRIPTION

[0035] The following is a description of exemplary embodiments of the present disclosure in conjunction with the accompanying drawings, including various details of the embodiments of the present disclosure to facilitate understanding, which should be considered as merely exemplary. Therefore, it should be recognized by those of ordinary skill in the art that various changes and modifications may be made to the embodiments described herein without departing from the scope of the present disclosure. Similarly, for the sake of clarity and conciseness, the description of well-known functions and structures is omitted in the following description.

[0036] In the present disclosure, unless otherwise specified, the use of the terms "first", "second", etc. to describe various elements is not intended to limit the positional relationship, timing relationship, or importance relationship of these elements, and such terms are only used to distinguish one element from another element. In some examples, the first element and the second element may refer to the same instance of the element, and in some cases, based on the description of the context, they may also refer to different instances.

[0037] The terms used in the description of various examples in this disclosure are only for the purpose of describing specific examples and are not intended to be limiting. Unless the context clearly indicates otherwise, if the number of elements is not specifically limited, the element can be one or more. In addition, the term "and / or" used in this disclosure covers any one of the listed items and all possible combinations.

[0038] Example 1

[0039] See also Figure 1 As shown, this embodiment provides a two-stage AMTEC-TRD solar thermal power generation system, which includes a butterfly solar collector, a two-stage AMTEC device and a TRD device (thermal radiation device). The butterfly solar collector is used to receive solar energy and convert the solar energy into thermal energy and transmit it to the two-stage AMTEC device; the two-stage AMTEC device is connected to the butterfly solar collector, and is used to receive thermal energy and convert the thermal energy into electrical energy; the TRD device is connected to the two-stage AMTEC device, and is used to receive waste heat generated by the two-stage AMTEC device, and convert the waste heat of the two-stage AMTEC device into electrical energy.

[0040] Furthermore, the butterfly-type solar thermal collector includes an optical lens and a thermal receiver, wherein the optical lens is used to receive solar energy, and the thermal receiver is used to convert the solar energy into thermal energy and transfer it to the two-stage AMTEC device.

[0041] Specifically, in this embodiment, the conversion process of the two-stage AMTEC-TRD solar thermal power generation system is as follows: first, the incident solar energy of the sun is obtained through optical lenses, and then after the thermal receiver receives the solar energy, the solar energy is converted into thermal energy and transmitted to the two-stage AMTEC device. The two-stage AMTEC device converts the thermal energy into electrical energy for output, and at the same time generates waste heat which is transmitted to the TRD device. The TRD device further converts the waste heat generated by the two-stage AMTEC device to obtain electrical energy for output.

[0042] See also Figure 2 As shown, the present invention also provides a parameter optimization method for a two-stage AMTEC-TRD solar thermal power generation system, the method comprising:

[0043] S1: Determine the optimization parameters, construct the first objective function with the maximum system output power density, construct the second objective function with the maximum system output efficiency, and construct the third objective function with the maximum product of the system output power density and output efficiency;

[0044] Specifically, in this embodiment, the determined optimization parameters include the solar concentration C of the optical lens, the evaporator temperature T of the two-stage AMTEC H , the current density J1 of the first-stage AMTEC, the voltage V of the thermal radiation device TR , the thickness D2 of the BASE tube in the second-stage AMTEC, the intermediate temperature T of the two-stage AMTEC M , condenser temperature T of two-stage AMTEC C , the current density J2 of the second-stage AMTEC, the thickness D1 of the β"-alumina solid dielectric (BASE) tube in the first-stage AMTEC, the ratio m of the area of ​​the heat receiver to the area of ​​the BASE tube in the first-stage AMTEC, the ratio n of the area of ​​the BASE tube in the second-stage AMTEC to the area of ​​the BASE tube in the first-stage AMTEC, the ratio x of the surface area of ​​the heat radiation device to the area of ​​the BASE tube in the first-stage AMTEC; and at the same time, select C, T H , J1, V TR 、T M 、T C As independent variables, D2, J2, D1, m, n, and x were used as dependent variables for optimization analysis.

[0045] At the same time, the concept of power output density is introduced to facilitate the evaluation and comparison of system performance. The total power output density p of the system is defined as the ratio of the total power output to the area of ​​the BASE tube in the first-stage AMTEC, that is, p = P / A E1 , where A E1 represents the area of ​​the BASE tube in the first-stage AMTEC. Therefore, the first objective function is constructed with the maximum system output power density, specifically: max =p A +p B , where p represents the system output power density; p A represents the output power density of the two-stage AMTEC device subsystem; p B Indicates the output power density of the TRD equipment subsystem;

[0046] The second objective function is constructed with the maximum system output efficiency, specifically: η max =p / q in , where η represents the system output efficiency, q in Represents the total incident solar energy per unit time; at the same time, based on the law of conservation of energy, the total efficiency of the system can be expressed by the subsystem efficiency, specifically: η = η S[η A +η B (1-η A )], where η S represents the subsystem efficiency of the butterfly solar collector, η S =q H / q in ,q H represents the heat energy absorbed by the first-stage AMTEC; η A represents the subsystem efficiency of the two-stage AMTEC device, η A =P A / q H ; η B represents the subsystem efficiency of the TRD device, η B =P B / (q C +q L2 ), P A represents the output power of the two-stage AMTEC device subsystem, P B represents the output power of the TRD equipment subsystem, q C represents the heat energy transferred to the thermal radiation device by the two-stage AMTEC, q L2 represents the heat loss released to the environment by the two-stage AMTEC;

[0047] The third objective function is constructed by maximizing the product of system output power density and output efficiency, specifically: Z max =pη, where Z represents the product of the system output power density and output efficiency.

[0048] S2: constructing an initial parameter space based on preset parameter constraints, screening multiple optimization parameter points in the initial parameter space, and inputting each optimization parameter point into the first objective function, the second objective function, and the third objective function, respectively, to calculate multiple objective function values ​​corresponding to each optimization parameter point;

[0049] It should be noted that, in this embodiment, the parameter initial solution space refers to a six-dimensional parameter interval, which contains multiple parameter points. These parameter points all meet the preset parameter constraints. At the same time, each parameter point has a corresponding set of system parameter groups.

[0050] Specifically, the parameter initial space is constructed based on the preset parameter constraints, wherein the preset parameter constraints are: Cmin≤C≤Cmax&VTRmin≤VTR≤VTRmax&J1min≤J1≤J1max&TMmin≤TM≤TMmax&TCmin≤TC≤TCmax&THmin≤TH≤THmax; wherein C represents the solar concentration of the butterfly solar collector, C minIndicates the minimum solar concentration of the butterfly solar collector, C max Indicates the maximum solar concentration of the butterfly solar collector; V TR Represents the voltage of the heat radiation device, V TRmin Indicates the minimum voltage of the heat radiation device, V TRmax represents the maximum voltage of the thermal radiation device; J1 represents the current density of the first-stage AMTEC in the two-stage AMTEC device, J 1min represents the minimum current density of the first-stage AMTEC in the two-stage AMTEC device, J 1max represents the maximum current density of the first-stage AMTEC in the two-stage AMTEC device; T M represents the middle temperature of the two-stage AMTEC device, T Mmin represents the minimum intermediate temperature of the two-stage AMTEC device, T Mmax Indicates the maximum intermediate temperature of the two-stage AMTEC device; T C represents the condenser temperature of the two-stage AMTEC, T Cmin represents the minimum condenser temperature of the two-stage AMTEC, T Cmax represents the maximum condenser temperature of the two-stage AMTEC; T H represents the evaporator temperature of the two-stage AMTEC, T Hmin represents the minimum evaporator temperature of the two-stage AMTEC, T Hmax Indicates the maximum evaporator temperature of the two-stage AMTEC; It should be noted that, in this embodiment, the specific range of the parameter conditions is set according to actual needs, and the specific values ​​are as follows: 50≤C≤145, -0.15≤V TR ≤0,0≤J1≤10 6 、400≤T M ≤1300、400≤T C ≤800、900≤T H ≤1300.

[0051] Then, a plurality of parameter optimization points are obtained by screening in the initial parameter space, specifically: a plurality of random parameter points are randomly screened in the initial parameter space, and then the randomly screened plurality of random parameter points are secondary screened according to preset screening conditions to obtain a plurality of optimized parameter points, wherein each optimized parameter point includes a set of optimized parameter groups.

[0052] Specifically, in this embodiment, the preset screening condition is p A ≥0&p B ≥0&η A ≥0&η B ≥0, which aims to screen random parameter points whose subsystem output power density and efficiency are not negative as optimization parameter points.

[0053] S3: Construct the system energy distribution space based on multiple objective function values ​​calculated at each optimization parameter point, and generate the system optimization characteristic curve and optimal parameter set through the system energy distribution interval.

[0054] Specifically, in this embodiment, the system energy distribution space is constructed based on multiple objective function values ​​calculated for each optimization parameter point, and then the objective function values ​​based on the optimization parameter points are screened using the InternalListMin command, and the screened objective function values ​​are tracked using the Position command to obtain the corresponding optimization parameter points, and the obtained optimization parameter points are used to construct the system optimization parameter space, and the optimization parameters corresponding to the tracked optimization parameter points are extracted to generate the optimal parameter set corresponding to the system. The three-dimensional parameter space distribution and the two-dimensional space distribution of the dependent variable with the independent variable can be obtained from the optimal parameter set.

[0055] In this example, in order to verify the optimization effect of the parameter optimization method provided by the present invention, the optimized solar thermal power generation system is compared with a separate two-stage alkali metal thermoelectric converter. Figure 3 As shown in the figure, compared with the independent two-stage alkali metal thermoelectric converter and the unoptimized solar thermal power generation system, the performance of the optimized solar thermal power generation system (coupled system) has been significantly improved, and the maximum power output density and the maximum efficiency are respectively increased by about 244% and 6.43% compared with the independent two-stage alkali metal thermoelectric converter. Therefore, the conversion efficiency of the solar thermal power generation system after parameter optimization is significantly higher than that of the independent two-stage alkali metal thermoelectric converter and the unoptimized solar thermal power generation system.

[0056] Specifically, in this embodiment, a two-stage AMTEC device and a TRD device are combined to construct a solar thermal power generation system. The waste heat generated by the two-stage alkali metal thermoelectric converter can be utilized by the added thermal radiation device, thereby further improving the conversion power and efficiency of the system, thereby playing a role in energy conservation and emission reduction. At the same time, through the provided multi-objective parameter optimization method based on the Pareto front theory, an optimization selection strategy for important parameters of the two-stage AMTEC-TRD solar thermal power generation system can be obtained to improve the conversion efficiency of the solar thermal power generation system after the two-stage AMTEC device and the TRD device are combined.

[0057] Example 2

[0058] See also Figure 4 As shown, the present invention also provides a parameter optimization system for a two-stage AMTEC-TRD solar thermal power generation system, which is used in any one of the above-mentioned parameter optimization methods for a two-stage AMTEC-TRD solar thermal power generation system, and the system comprises:

[0059] The first module 100 is used to determine the optimization parameters, construct the first objective function by maximizing the total system output power density, construct the second objective function by maximizing the total system output efficiency, and construct the third objective function by maximizing the product of the total system output power density and the output efficiency;

[0060] The second module 200 is used to construct an initial parameter space based on preset parameter constraints, screen and obtain multiple optimization parameter points in the initial parameter space, and input each optimization parameter point into the first objective function, the second objective function and the third objective function, respectively, to calculate and obtain multiple objective function values ​​corresponding to each optimization parameter point;

[0061] The third module 300 is used to construct a system energy distribution space based on multiple objective function values ​​calculated at each optimization parameter point, and generate a system optimization characteristic curve and a corresponding optimal parameter set through the system energy distribution interval.

[0062] It should be noted that the modules in the system of Example 2 correspond to the steps in the method of Example 1. The steps in the method of Example 1 have been described in detail in Example 1. In this Example 2, the contents of the modules in the system will not be described in detail.

[0063] Example 3

[0064] See also Figure 5 As shown, this embodiment further provides a computer device, including a system memory 1005 and a processor 1001, wherein the system memory 1005 stores a computer program, and the processor 1001 implements the steps of any of the above methods when executing the computer program.

[0065] It should be noted that the processor 1001 is used to execute the steps in the above method embodiments according to the instructions in the program code. Alternatively, the processor 1001 implements the functions of each module / unit in the above system / device embodiments when executing the computer program.

[0066] Specifically, in this embodiment, the computer program may be divided into one or more modules / units, one or more modules / units are stored in the system memory 1005, and are executed by the processor 1001 to complete the present application. One or more modules / units may be a series of computer program instruction segments that can complete specific functions, and the instruction segments are used to describe the execution process of the computer program in the terminal device.

[0067] The terminal device may be a computing device such as a desktop computer, a notebook, a PDA, a cloud server, etc. The terminal device may include, but is not limited to, a processor 1001 and a system memory 1005. Those skilled in the art will appreciate that this does not constitute a limitation on the terminal device, and may include more or less components than shown in the figure, or combine certain components, or different components. For example, the terminal device may also include an input / output device 1003, a network access device 1002, a bus 1006, etc.

[0068] The processor 1001 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or the processor may be any conventional processor, etc.

[0069] The system memory 1005 may be an internal storage unit of the terminal device, such as a hard disk or memory of the terminal device. The system memory 1005 may also be a storage device 1004 of the terminal device, such as a plug-in hard disk, a smart memory card (SmartMedia Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (FlashCard), etc. equipped on the terminal device. Further, the system memory 1005 may also include both the internal storage unit of the terminal device and the storage device 1004. The system memory 1005 is used to store computer programs and other programs and data required by the terminal device. The system memory 1005 may also be used to temporarily store data that has been output or is to be output.

[0070] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described systems, systems and units can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0071] Example 4

[0072] This embodiment provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of any one of the above methods are implemented.

[0073] Among them, the computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared or semiconductor system, system or device, or any combination of the above. More specific examples of computer-readable storage media (a non-exhaustive list) include: an electrical connection with one or more wires, a portable computer disk, a hard disk. Random Access Memory (RAM), Read-Only Memory (ROM), Erasable Programmable Read Only Memory (EPROM), registers, hard disks, optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the above, or any other form of computer-readable storage medium known in the art.

[0074] An exemplary storage medium is coupled to a processor so that the processor can read information from the storage medium and write information to the storage medium. Of course, the storage medium can also be a component of the processor. The processor and the storage medium can be located in an application-specific integrated circuit (ASIC). In an embodiment of the present invention, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, system, or device.

[0075] Example 5

[0076] This embodiment also provides a computer program product including instructions. When the instructions are executed by a computer device cluster, the computer device cluster executes the method described in Embodiment 1.

[0077] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A two-stage AMTEC-TRD solar thermal power generation system, characterized in that: The system includes a butterfly solar collector, a two-stage AMTEC device and a TRD device. The butterfly solar collector is used to receive solar energy and convert the solar energy into heat energy and transmit it to the two-stage AMTEC device; the two-stage AMTEC device is connected to the butterfly solar collector and is used to receive heat energy and convert the heat energy into electrical energy; the TRD device is connected to the two-stage AMTEC device and is used to receive waste heat generated by the two-stage AMTEC device and convert the waste heat of the two-stage AMTEC device into electrical energy.

2. A two-stage AMTEC-TRD solar thermal power generation system according to claim 1, characterized in that: The butterfly-type solar thermal collector includes an optical lens and a thermal receiver. The optical lens is used to receive solar energy, and the thermal receiver is used to convert the solar energy into thermal energy and transmit it to the two-stage AMTEC device.

3. A parameter optimization method for a two-stage AMTEC-TRD solar thermal power generation system according to any one of claims 1-2, characterized in that: Methods include: Determine the optimization parameters, construct a first objective function with the maximum system output power density, construct a second objective function with the maximum system output efficiency, and construct a third objective function with the maximum product of the system output power density and the output efficiency; Constructing an initial parameter space based on preset parameter constraints, screening multiple optimization parameter points in the initial parameter space, and inputting each optimization parameter point into a first objective function, a second objective function, and a third objective function, respectively, to calculate multiple objective function values ​​corresponding to each optimization parameter point; The system energy distribution space is constructed based on multiple objective function values ​​calculated at each optimization parameter point, and the system optimization characteristic curve and optimal parameter set are generated through the system energy distribution interval.

4. The parameter optimization method of a two-stage AMTEC-TRD solar thermal power generation system according to claim 3 is characterized in that: The preset parameter constraints are as follows: C min ≤C≤C max &V TRmin ≤V TR ≤V TRmax &J 1min ≤J1≤J 1max &T Mmin ≤T M ≤T Mmax & T Cmin ≤T C ≤T Cmax &T Hmin ≤T H ≤T Hmax ; Where C represents the solar concentration of the butterfly solar collector; V TR represents the voltage of the thermal radiation device; J1 represents the current density of the first-stage AMTEC in the two-stage AMTEC device; T M represents the middle temperature of the two-stage AMTEC device; T C represents the condenser temperature of the two-stage AMTEC; T H Indicates the evaporator temperature of the two-stage AMTEC.

5. The parameter optimization method of a two-stage AMTEC-TRD solar thermal power generation system according to claim 4 is characterized in that: Multiple parameter optimization points are screened in the initial parameter space, specifically: A plurality of random parameter points are randomly screened in the initial parameter space, and then the randomly screened plurality of random parameter points are screened again according to the preset screening conditions to obtain a plurality of optimized parameter points, wherein each optimized parameter point includes a set of optimized parameters, wherein the preset screening conditions are specifically: p A ≥0&p B ≥0&η A ≥0&η B ≥0, p A represents the output power density of the two-stage AMTEC device subsystem; p B Represents the output power density of the TRD equipment subsystem; η A represents the subsystem efficiency of the two-stage AMTEC device; η B Indicates the subsystem efficiency of the TRD device.

6. The parameter optimization method of a two-stage AMTEC-TRD solar thermal power generation system according to claim 5, characterized in that: The system energy distribution space is constructed based on multiple objective function values ​​calculated at each optimization parameter point, and the system optimization characteristic curve and optimal parameter set are generated through the system energy distribution interval, specifically: The system energy distribution space is constructed based on multiple objective function values ​​calculated based on each optimization parameter point, and then the objective function values ​​based on the optimization parameter points are filtered using the InternalListMin command, and the filtered objective function values ​​are tracked through the Position command to obtain the corresponding optimization parameter points. The obtained optimization parameter points are used to construct the system optimization parameter space, and the optimization parameters corresponding to the tracked optimization parameter points are extracted to generate the optimal parameter set corresponding to the system.

7. A parameter optimization system for a two-stage AMTEC-TRD solar thermal power generation system, characterized in that: The system is used in a parameter optimization method of a two-stage AMTEC-TRD solar thermal power generation system as described in any one of claims 3 to 6, and the system comprises: The first module is used to determine the optimization parameters, construct the first objective function with the maximum total system output power density, construct the second objective function with the maximum total system output efficiency, and construct the third objective function with the maximum product of the total system output power density and output efficiency; The second module is used to construct an initial parameter space based on preset parameter constraints, screen and obtain multiple optimization parameter points in the initial parameter space, and input each optimization parameter point into the first objective function, the second objective function and the third objective function respectively, and calculate and obtain multiple objective function values ​​corresponding to each optimization parameter point; The third module is used to construct the system energy distribution space based on multiple objective function values ​​calculated at each optimization parameter point, and generate the system optimization characteristic curve and the corresponding optimal parameter set through the system energy distribution interval.

8. A computer device comprising a system memory and a processor, wherein the system memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 3 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 3 to 6 are implemented.

10. A computer program product comprising instructions, characterized in that When the instructions are executed by a computer device cluster, the computer device cluster executes the method according to any one of claims 3 to 6.

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