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

Abstract

The invention discloses a two-stage AMTEC-two-stage TEG solar thermal power generation system and a parameter optimization method thereof, particularly relates to the technical field of solar thermal power generation systems, and is technically characterized in that the system comprises a butterfly type solar thermal collector, two-stage AMTEC equipment and a two-stage thermoelectric generator; the butterfly type solar heat collector is used for receiving solar light radiation, converting the solar light radiation 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 two-stage thermoelectric generator 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.

Description

Technical Field

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

[0002] Solar power generation system is the main direction of development of solar energy technology. It converts solar energy into thermal energy, and then converts thermal energy into electrical energy through some power systems, including gas turbines, heat engines, thermionic generators, thermophotovoltaic cells, thermoelectric generators, etc.

[0003] Alkali metal thermoelectric converter (AMTEC) is a functional power system that converts heat directly into electricity by driving sodium ions through a β″ alumina solid electrolyte (BASE) membrane. It has many inherent advantages such as high efficiency (0.20-0.40), quiet operation, maintenance-free, and diverse heat sources. People often improve the performance of alkali metal thermoelectric converters by optimizing the parameters of the device. Researchers analyzed the thermal performance of the two-stage alkali metal thermoelectric converter and obtained a maximum output power of about 125W and a maximum efficiency of about 29%. On the one hand, due to the alkali metal thermoelectric converter The evaporation temperature of the converter is between 900-1300K. It is not difficult to find a variety of heat sources, including waste heat from high-temperature batteries, nuclear reactors or concentrated solar energy. On the other hand, since the condenser temperature of alkali metal thermoelectric converters (400-800K) is higher than the ambient temperature, it is crucial to consider and study part of the waste heat discharged by the condenser. Thermoelectric generators (TEGs) can directly convert part of the thermal energy into electrical energy. However, the working efficiency of thermoelectric materials is very low, mainly due to the low quality factor (ZT), which is a key parameter used to quantify the performance of thermoelectric devices, systems or methods.

[0004] Therefore, the present invention aims to provide a two-stage AMTEC-two-stage TEG solar thermal power generation system and a parameter optimization method thereof to solve the above-mentioned related problems. Summary of the invention

[0005] The technical problem to be solved by the present invention is that the prior art has low utilization rate of waste heat discharged from two-stage AMTEC devices and low working efficiency of temperature difference generators. The purpose is to provide a two-stage AMTEC-two-stage TEG solar thermal power generation system and a parameter optimization method thereof. By providing the two-stage AMTEC-two-stage TEG solar thermal power generation system, the waste heat discharged from the two-stage AMTEC devices is processed by using two-stage TEG devices, so that the thermal energy generated by solar energy can be fully utilized and the utilization rate of waste heat discharged from the two-stage AMTEC devices can be improved; by providing the parameter optimization method based on the control variable method, a parameter optimization strategy for the two-stage AMTEC-two-stage TEG solar thermal power generation system can be generated to further improve the conversion efficiency of the solar thermal power generation system after the two-stage AMTEC devices and the two-stage TEG devices are combined.

[0006] The present invention is achieved through the following technical solutions:

[0007] A two-stage AMTEC-two-stage TEG solar thermal power generation system, the system includes a butterfly solar collector, a two-stage AMTEC device and a two-stage temperature difference generator, the butterfly solar collector is used to receive solar light radiation and convert the solar light radiation into heat energy and transfer 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 two-stage temperature difference generator 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.

[0008] Furthermore, the butterfly-type solar thermal collector includes an optical lens and a thermal receiver, wherein the optical lens is used to receive solar light radiation, and the thermal receiver is used to convert the solar light radiation into thermal energy and transfer it to the two-stage AMTEC device.

[0009] The present invention also provides a parameter optimization method for a two-stage AMTEC-two-stage TEG solar thermal power generation system as described in any one of the above, the method comprising:

[0010] The first objective function is constructed by maximizing the system output power density, the second objective function is constructed by maximizing the system output efficiency, and the third objective function is constructed by maximizing the product of the system output power density and the output efficiency;

[0011] Obtain system operating parameters, perform thermodynamic analysis on the two-stage AMTEC-two-stage TEG solar thermal power generation system, divide the system operating parameters into independent variable parameters and dependent variable parameters, and construct multiple constraint equations of independent variable parameters and dependent variable parameters;

[0012] Based on multiple constraint equations, the independent variable parameters and the dependent variable parameters are optimized using the first objective function, the second objective function and the third objective function to obtain the optimal parameter optimization interval.

[0013] Furthermore, the system operating parameters are obtained, and a thermodynamic analysis is performed on the two-stage AMTEC-two-stage TEG solar thermal power generation system, and the system operating parameters are divided into independent variable parameters and dependent variable parameters, wherein the independent variable parameters include the solar concentration of the butterfly solar collector, the current density of the first-stage AMTEC in the two-stage AMTEC device, the thickness of the BASE tube in the second-stage AMTEC in the two-stage AMTEC device, the evaporator temperature of the two-stage AMTEC device, the intermediate temperature of the two-stage AMTEC device, and the dimensionless current in the two-stage temperature difference generator; the dependent variable parameters include the current density of the second-stage AMTEC device in the two-stage AMTEC device, the thickness of the BASE tube in the first-stage AMTEC in the two-stage AMTEC device, the condenser temperature of the two-stage AMTEC, the ratio of the area of ​​the heat receiver to the area of ​​the BASE tube in the first-stage AMTEC in the two-stage AMTEC device, the ratio of the area of ​​the BASE tube in the first-stage AMTEC in the two-stage AMTEC device to the area of ​​the BASE tube in the second-stage AMTEC, and the ratio of the thermal conductivity of the two-stage temperature difference generator to the area of ​​the BASE tube in the second-stage AMTEC.

[0014] Furthermore, multiple constraint equations of independent variable parameters and dependent variable parameters are constructed as follows:

[0015]

[0016]

[0017] Wherein, J1 represents the current density of the first-stage AMTEC in the two-stage AMTEC device; x represents the area ratio of the BASE tube in the first-stage AMTEC to the BASE tube in the second-stage AMTEC in the two-stage AMTEC device; J2 represents the current density of the second-stage AMTEC; q in represents the total incident solar energy per unit time; q R represents the reflection loss of the heat receiver; q L1 represents the heat loss from the heat receiver to the environment; T H represents the evaporator temperature of the two-stage AMTEC; T C represents the condenser temperature of the two-stage AMTEC; q L2 represents the heat loss released to the environment by the two-stage AMTEC; q C It represents the heat energy transferred from the two-stage AMTEC to the two-stage temperature difference generator.

[0018] Furthermore, based on multiple constraint equations, the first objective function, the second objective function and the third objective function are used to optimize the independent variable parameters and the dependent variable parameters to obtain the optimal parameter optimization interval, specifically:

[0019] Taking multiple independent variable parameters as given parameters and taking the remaining independent variable parameters as parameters to be optimized;

[0020] Under the constraint relationship of multiple constraint equations, the first objective function, the second objective function and the third objective function are used to calculate the objective function value of the parameter to be optimized, and a three-dimensional parameter optimization interval between efficiency, power output density, and the product of power output density and efficiency and the parameter to be optimized is constructed.

[0021] The present invention also provides a parameter optimization system for a two-stage AMTEC-two-stage TEG solar thermal power generation system, which is used in any one of the above-mentioned parameter optimization methods for a two-stage AMTEC-two-stage TEG solar thermal power generation system, and the system comprises:

[0022] The first module is used to construct a first objective function by maximizing the system output power density, to construct a second objective function by maximizing the system output efficiency, and to construct a third objective function by maximizing the product of the system output power density and the output efficiency;

[0023] The second module is used to obtain the system operating parameters and conduct thermodynamic analysis on the two-stage AMTEC-two-stage TEG solar thermal power generation system, divide the system operating parameters into independent variable parameters and dependent variable parameters, and construct multiple constraint equations of independent variable parameters and dependent variable parameters;

[0024] The third module is used to optimize the independent variable parameters and the dependent variable parameters based on multiple constraint equations using the first objective function, the second objective function and the third objective function to obtain the optimal parameter optimization interval.

[0025] 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.

[0026] 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.

[0027] 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.

[0028] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0029] In the present invention, by providing a two-stage AMTEC-two-stage TEG solar thermal power generation system, two-stage TEG equipment is used to process waste heat discharged by the two-stage AMTEC equipment, so that the thermal energy generated by solar energy can be fully utilized and the utilization rate of waste heat discharged by the two-stage AMTEC equipment can be improved; by providing a parameter optimization method based on the control variable method, a parameter optimization strategy for the two-stage AMTEC-two-stage TEG solar thermal power generation system can be generated to further improve the conversion efficiency of the solar thermal power generation system after the two-stage AMTEC equipment and the two-stage TEG equipment are combined. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] 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:

[0031] Figure 1 This is a schematic diagram of the structure of a two-stage AMTEC-two-stage TEG solar thermal power generation system in this embodiment;

[0032] Figure 2 This is a schematic diagram of a method flow of a parameter optimization method for a two-stage AMTEC-two-stage TEG solar thermal power generation system in this embodiment;

[0033] Figure 3 (a)- Figure 3 (c) is a schematic diagram showing the results of an example of a parameter optimization method for a two-stage AMTEC-two-stage TEG solar thermal power generation system in this embodiment;

[0034] Figure 4 (a)- Figure 4 (b) is a schematic diagram showing the results of an example of a parameter optimization method for a two-stage AMTEC-two-stage TEG solar thermal power generation system in this embodiment;

[0035] Figure 5 This is a schematic diagram of the results of an example of a parameter optimization method for a two-stage AMTEC-two-stage TEG solar thermal power generation system in this embodiment;

[0036] Figure 6 This is a schematic diagram of module connections of a parameter optimization system of a two-stage AMTEC-two-stage TEG solar thermal power generation system in this embodiment;

[0037] Figure 7 It is a structural schematic diagram of a computer device in this embodiment. DETAILED DESCRIPTION

[0038] 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.

[0039] 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.

[0040] 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.

[0041] Example 1

[0042] See also Figure 1 As shown, a structural schematic diagram of a two-stage AMTEC-two-stage TEG solar thermal power generation system is shown, wherein the system includes a butterfly solar collector, a two-stage AMTEC device and a two-stage temperature difference generator (two-stage TEG device), the butterfly solar collector is used to receive solar light radiation and convert the solar light radiation into heat energy and transfer 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 two-stage temperature difference generator 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.

[0043] Furthermore, the butterfly-type solar thermal collector includes an optical lens and a thermal receiver, wherein the optical lens is used to receive solar light radiation, and the thermal receiver is used to convert the solar light radiation into thermal energy and transfer it to the two-stage AMTEC device.

[0044] Specifically, in the present invention, the working principle of the two-stage AMTEC-two-stage TEG solar thermal power generation system is as follows: optical lenses are provided to obtain incident solar energy from the sun, 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 two-stage temperature difference generator, and the two-stage temperature difference generator further converts the waste heat generated by the two-stage AMTEC device to obtain electrical energy for output.

[0045] See also Figure 2 As shown, the present invention also provides a parameter optimization method for a two-stage AMTEC-two-stage TEG solar thermal power generation system as described in any one of the above, the method comprising:

[0046] S1: The first objective function is constructed by maximizing the system output power density, the second objective function is constructed by maximizing the system output efficiency, and the third objective function is constructed by maximizing the product of the system output power density and the output efficiency;

[0047] Specifically, in this embodiment, the first objective function is constructed by maximizing the system output power density through the energy transfer situation inside the composite system, specifically: max =p A +p T , where p represents the system output power density; p A represents the output power density of the two-stage AMTEC device subsystem; p T Represents the output power density of the two-stage TEG device subsystem;

[0048] 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, P represents the total power of the system; 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: Among them, 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 T represents the subsystem efficiency of the two-stage TEG device, η T =P T / qC , P T represents the output power of the two-stage TEG device subsystem, q C represents the heat energy transferred from the two-stage AMTEC to the two-stage TEG devices, q L2 represents the heat loss released to the environment by the two-stage AMTEC;

[0049] The third objective function is constructed by maximizing the product of the system output power density and output efficiency, specifically: W max =pη, where W represents the product of system output power density and output efficiency.

[0050] S2: Obtain system operating parameters, and perform thermodynamic analysis on the two-stage AMTEC-two-stage TEG solar thermal power generation system, divide the system operating parameters into independent variable parameters and dependent variable parameters, and construct multiple constraint equations of independent variable parameters and dependent variable parameters;

[0051] Specifically, in this embodiment, the system operation parameters are obtained, and the two-stage AMTEC-two-stage TEG solar thermal power generation system is thermodynamically analyzed, and the system operation parameters are divided into independent variable parameters and dependent variable parameters, wherein the independent variable parameters include the solar concentration of the butterfly solar collector, the current density of the first-stage AMTEC in the two-stage AMTEC device, the thickness of the BASE tube in the second-stage AMTEC in the two-stage AMTEC device, the evaporator temperature of the two-stage AMTEC device, the intermediate temperature of the two-stage AMTEC device, and the dimensionless current in the two-stage temperature difference generator; the dependent variable parameters include the current density of the second-stage AMTEC device in the two-stage AMTEC device, the thickness of the BASE tube in the first-stage AMTEC in the two-stage AMTEC device, the condenser temperature of the two-stage AMTEC, the area ratio of the heat receiver to the area ratio of the BASE tube in the first-stage AMTEC in the two-stage AMTEC device, the area ratio of the BASE tube in the first-stage AMTEC in the two-stage AMTEC device to the area ratio of the BASE tube in the second-stage AMTEC, and the thermal conductivity of the two-stage temperature difference generator to the area ratio of the BASE tube in the second-stage AMTEC;

[0052] Multiple constraint equations of independent variable parameters and dependent variable parameters are constructed, wherein the multiple constraint equations include three energy balance equations, the constraint relationship between the β"-alumina solid electrolyte (BASE) tube and temperature in two alkali metal thermoelectric converters, and the current continuity equation, specifically:

[0053]

[0054]

[0055] Wherein, J1 represents the current density of the first-stage AMTEC in the two-stage AMTEC device; x represents the area ratio of the BASE tube in the first-stage AMTEC to the BASE tube in the second-stage AMTEC in the two-stage AMTEC device; J2 represents the current density of the second-stage AMTEC; η0 represents the optical efficiency of the lens; q in represents the total incident solar energy per unit time; q R represents the reflection loss of the heat receiver; q L1 represents the heat loss from the heat receiver to the environment; T H represents the evaporator temperature of the two-stage AMTEC; T in represents the middle temperature of the two-stage AMTEC; M represents the molar mass of sodium; F represents the Faraday constant; A1 represents the heat leakage area of ​​the two-stage AMTEC; L represents the latent heat of vaporization; σ represents the Stefan-Boltzmann constant; z represents the radiation reduction coefficient; P1 represents the power of the first-stage AMTEC; c p represents molar specific heat; P2 represents the power of the second-stage AMTEC; A2 represents the area of ​​the BASE tube in the second-stage AMTEC; T C represents the condenser temperature of the two-stage AMTEC; q L2 represents the heat loss released to the environment by the two-stage AMTEC; q C represents the heat energy transferred from the two-stage AMTEC to the two-stage temperature difference generator; p sat (T) represents the saturated vapor pressure at temperature T; μ represents the characteristic coefficient of the BASE tube material.

[0056] S3: Based on multiple constraint equations, the independent variable parameters and the dependent variable parameters are optimized using the first objective function, the second objective function and the third objective function to obtain the optimal parameter optimization interval.

[0057] Specifically, in this embodiment, based on multiple constraint equations, the first objective function, the second objective function and the third objective function are used to optimize the independent variable parameters and the dependent variable parameters to obtain the optimal parameter optimization interval, which is specifically:

[0058] Taking multiple independent variable parameters as given parameters and taking the remaining independent variable parameters as parameters to be optimized;

[0059] It should be noted that, in this embodiment, the given parameter refers to setting a fixed value for the selected independent variable parameter so as to maximize the system output power density, the system output efficiency, and the product of the system output power density and the output efficiency.

[0060] Under the constraint relationship of multiple constraint equations, the first objective function, the second objective function and the third objective function are used to calculate the objective function value of the parameter to be optimized, and a three-dimensional parameter optimization interval between efficiency, power output density, and the product of power output density and efficiency and the parameter to be optimized is constructed.

[0061] For example, see Figure 3 (a)- Figure 3 (c) shows that in this embodiment, the solar concentration C of the butterfly solar collector and the intermediate temperature T of the two-stage AMTEC are in The thickness D2 of the BASE tube in the second AMTEC stage of the two-stage AMTEC device is set to a given parameter, where C = 1350, T in =800K, D2=3.16×10 -5 m, the evaporator temperature T of the two-stage AMTEC device H Set as the parameter to be optimized, select the dimensionless current i in the two-stage TEG and the current density J1 of the first-stage AMTEC in the two-stage AMTEC device as variables from the remaining optimization parameters according to multiple constraint equations, and use the first objective function, the second objective function and the third objective function to respectively calculate the objective function values ​​of the parameters to be optimized, so as to construct a three-dimensional parameter optimization interval between the system output power density, the system output efficiency and the product of the system output power density and the output efficiency, and the dimensionless current i and the current density J1 of the first-stage AMTEC in the two-stage AMTEC device, so as to obtain the maximum efficiency, power output density, and the product value of the power output density and the efficiency; see Figure 3 (a)- Figure 3 As shown in (c), there are different optimal values ​​of i and J1 to achieve the maximum efficiency η max,C =0.289, the power output density reaches the maximum value p max,C =56.6×10 3 W m -2 , and the product of power output density and efficiency to obtain the maximum value W max,C =9.48×10 3 W m -2 .

[0062] For example, see Figure 4 (a)- Figure 4 As shown in (b), in this embodiment, T in Set to given parameters, where T in = 800K, select the thickness D2 of the BASE tube in the second stage AMTEC of the two-stage AMTEC device, the evaporator temperature T of the two-stage AMTEC device H, the dimensionless current i in the two-stage TEG device and the current density J1 of the first-stage AMTEC in the two-stage AMTEC device are taken as the parameters to be optimized. The first objective function, the second objective function and the third objective function are used to calculate the objective function values ​​of the parameters to be optimized so as to maximize the system output power density, the system output efficiency and the product of the system output power density and the output efficiency, respectively, and obtain the maximum efficiency η max,C , power output density p at maximum efficiency ηmax,C , the maximum power output density p max,C , efficiency η at maximum power output density pmax,C , and the efficiency η when the product of efficiency and power output density is maximum ω,C and power output density p ω,C As the C curve changes, the parameter optimization interval between the system's efficiency and power output density and the parameters to be optimized is constructed; see Figure 4 (a)- Figure 4 As shown in (b), η max,C , η pmax,C and η ω,C As C increases, however, p max,C Does not increase with the increase of C, p ω,C and p ηmax,C It increases first and then tends to a constant value with the increase of C. The shaded area in the figure is the optimal working range of efficiency and power output density.

[0063] For example, see Figure 5 As shown, in this embodiment, the solar concentration C of the butterfly solar collector is set to a given parameter, where C = 1450, the thickness D2 of the BASE tube in the second stage AMTEC of the two-stage AMTEC device, the evaporator temperature T of the two-stage AMTEC device are selected H , the dimensionless current i in the two-stage TEG device and the current density J1 of the first-stage AMTEC in the two-stage AMTEC device are taken as the parameters to be optimized. The first objective function, the second objective function and the third objective function are used to calculate the objective function values ​​of the parameters to be optimized so as to maximize the system output power density, the system output efficiency and the product of the system output power density and the output efficiency. The system efficiency and the system power output density are obtained as T in The change curve of the system efficiency and power output density is constructed to build the parameter optimization interval between the parameters to be optimized; see Figure 5 As shown, when T in =840K≡T in,ηmax , the system achieves maximum efficiency η max =0.292; when T in =900K≡T in,pmax , the system obtains the maximum power output density P max=68.7×10 3 W m -2 In the figure, T in,pmax,C and T in,ηmax,C is the maximum power output density and maximum efficiency T in The optimal value of in The optimal working range of can be written as: T in,ηmax,C ≤T in ≤T in,pmax,C ; The optimal working range of power output density and efficiency can be written as: η pmax,C ≤η≤η max,C , p ηmax,C ≤p≤p max,C .

[0064] Example 2

[0065] See also Figure 6 As shown, the present invention also provides a parameter optimization system for a two-stage AMTEC-two-stage TEG solar thermal power generation system, which is used in any one of the above-mentioned parameter optimization methods for a two-stage AMTEC-two-stage TEG solar thermal power generation system, and the system includes:

[0066] The first module 100 is used to construct a first objective function by maximizing the system output power density, construct a second objective function by maximizing the system output efficiency, and construct a third objective function by maximizing the product of the system output power density and the output efficiency;

[0067] The second module 200 is used to obtain system operating parameters and perform thermodynamic analysis on the two-stage AMTEC-two-stage TEG solar thermal power generation system, divide the system operating parameters into independent variable parameters and dependent variable parameters, and construct multiple constraint equations of the independent variable parameters and the dependent variable parameters;

[0068] The third module 300 is used to optimize the independent variable parameters and the dependent variable parameters based on multiple constraint equations using the first objective function, the second objective function and the third objective function to obtain the optimal parameter optimization interval.

[0069] 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.

[0070] Example 3

[0071] This embodiment further provides a computer device, including a system memory 1005 and a processor 1001 . The system memory 1005 stores a computer program. When the processor 1001 executes the computer program, the steps of any one of the above methods are implemented.

[0072] 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.

[0073] 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.

[0074] 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.

[0075] 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.

[0076] 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.

[0077] 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.

[0078] Example 4

[0079] 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.

[0080] 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.

[0081] 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.

[0082] Example 5

[0083] 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.

[0084] 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-two-stage TEG solar thermal power generation system, characterized in that: The system includes a butterfly solar collector, a two-stage AMTEC device and a two-stage temperature difference generator. The butterfly solar collector is used to receive solar radiation and convert the solar radiation 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 two-stage temperature difference generator 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-two-stage TEG 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 radiation, and the thermal receiver is used to convert the solar radiation into thermal energy and transfer it to the two-stage AMTEC device.

3. A parameter optimization method for a two-stage AMTEC-two-stage TEG solar thermal power generation system according to any one of claims 1-2, characterized in that: Methods include: The first objective function is constructed by maximizing the system output power density, the second objective function is constructed by maximizing the system output efficiency, and the third objective function is constructed by maximizing the product of the system output power density and the output efficiency; Obtain system operating parameters, conduct thermodynamic analysis on the two-stage AMTEC-two-stage TEG solar thermal power generation system, divide the system operating parameters into independent variable parameters and dependent variable parameters, and construct multiple constraint equations of independent variable parameters and dependent variable parameters; Based on multiple constraint equations, the independent variable parameters and the dependent variable parameters are optimized using the first objective function, the second objective function and the third objective function to obtain the optimal parameter optimization interval.

4. The parameter optimization method of a two-stage AMTEC-two-stage TEG solar thermal power generation system according to claim 1, characterized in that: The system operating parameters are obtained, and a thermodynamic analysis is performed on the two-stage AMTEC-two-stage TEG solar thermal power generation system. The system operating parameters are divided into independent variable parameters and dependent variable parameters. The independent variable parameters include the solar concentration of the butterfly solar collector, the current density of the first-stage AMTEC in the two-stage AMTEC device, the thickness of the BASE tube in the second-stage AMTEC in the two-stage AMTEC device, the evaporator temperature of the two-stage AMTEC device, the intermediate temperature of the two-stage AMTEC device, and the dimensionless current in the two-stage temperature difference generator; the dependent variable parameters include the current density of the second-stage AMTEC device in the two-stage AMTEC device, the thickness of the BASE tube in the first-stage AMTEC in the two-stage AMTEC device, the condenser temperature of the two-stage AMTEC, the ratio of the area of ​​the heat receiver to the area of ​​the BASE tube in the first-stage AMTEC in the two-stage AMTEC device, the ratio of the area of ​​the BASE tube in the first-stage AMTEC in the two-stage AMTEC device to the area of ​​the BASE tube in the second-stage AMTEC, and the ratio of the thermal conductivity of the two-stage temperature difference generator to the area of ​​the BASE tube in the second-stage AMTEC.

5. The parameter optimization method of a two-stage AMTEC-two-stage TEG solar thermal power generation system according to claim 4, characterized in that: Construct multiple constraint equations for independent variable parameters and dependent variable parameters as follows: Wherein, J1 represents the current density of the first-stage AMTEC in the two-stage AMTEC device; x represents the area ratio of the BASE tube in the first-stage AMTEC to the BASE tube in the second-stage AMTEC in the two-stage AMTEC device; J2 represents the current density of the second-stage AMTEC; q in represents the total incident solar energy per unit time; q R represents the reflection loss of the heat receiver; q L1 represents the heat loss from the heat receiver to the environment; T H represents the evaporator temperature of the two-stage AMTEC; T C represents the condenser temperature of the two-stage AMTEC; q L2 represents the heat loss released to the environment by the two-stage AMTEC; q C It represents the heat energy transferred from the two-stage AMTEC to the two-stage temperature difference generator.

6. The parameter optimization method of a two-stage AMTEC-two-stage TEG solar thermal power generation system according to claim 4, characterized in that: Based on multiple constraint equations, the first objective function, the second objective function and the third objective function are used to optimize the independent variable parameters and the dependent variable parameters to obtain the optimal parameter optimization interval, which is specifically: Taking multiple independent variable parameters as given parameters and taking the remaining independent variable parameters as parameters to be optimized; Under the constraint relationship of multiple constraint equations, the first objective function, the second objective function and the third objective function are used to calculate the objective function value of the parameter to be optimized, and a three-dimensional parameter optimization interval between efficiency, power output density, and the product of power output density and efficiency and the parameter to be optimized is constructed.

7. A parameter optimization system for a two-stage AMTEC-two-stage TEG solar thermal power generation system, characterized in that: The system is used in a parameter optimization method of a two-stage AMTEC-two-stage TEG 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 construct a first objective function by maximizing the system output power density, to construct a second objective function by maximizing the system output efficiency, and to construct a third objective function by maximizing the product of the system output power density and the output efficiency; The second module is used to obtain the system operating parameters and conduct thermodynamic analysis on the two-stage AMTEC-two-stage TEG solar thermal power generation system, divide the system operating parameters into independent variable parameters and dependent variable parameters, and construct multiple constraint equations of independent variable parameters and dependent variable parameters; The third module is used to optimize the independent variable parameters and the dependent variable parameters based on multiple constraint equations using the first objective function, the second objective function and the third objective function to obtain the optimal parameter optimization 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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