Method and device for optimizing operating parameters of solid oxide electrolysis system
By constructing electrochemical and degradation models and optimizing the operating parameters of SOEC, the problems of insufficient durability and lifespan of solid oxide electrolyzers were solved, achieving high electrolysis efficiency and low degradation rate.
Patent Information
- Application Number
- CN202510932034.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-07
- Publication Date
- 2025-11-04
AI Technical Summary
Existing technologies struggle to determine suitable operating parameters to mitigate the degradation of solid oxide electrolyzers, resulting in insufficient durability and lifespan, which hinders large-scale applications.
Electrochemical, degradation, and decay models were constructed, and combined with mass and energy conservation models. The operating parameters were optimized using simulation data to improve electrolysis efficiency and reduce decay rate.
By optimizing operating parameters, the durability and service life of solid oxide electrolyzers (SOECs) have been improved, and the problem of performance degradation during long-term operation has been solved.
Smart Images
Figure CN120893178A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of solid oxide electrolysis cell, and particularly relates to a solid oxide electrolysis system operation parameter optimization method and device. BACKGROUND
[0002] With renewable energy becoming the main body of new power supply, the fluctuation of the supply end will far exceed the bearing capacity of the power grid. Using solid oxide electrolysis cell (SOEC) to electrolyze hydrogen and store energy to assist peak shaving can not only fully utilize surplus renewable energy, but also fully utilize industrial waste steam, so as to realize efficient comprehensive utilization of resources. Therefore, the practicalization of SOEC technology has important promoting significance for large-scale distributed hydrogen production and flexible support of renewable energy consumption.
[0003] However, the SOEC will have serious performance degradation in long-term operation. Therefore, it is necessary to establish a reasonable SOEC model and related degradation model and analyze to seek suitable operation parameters to reduce SOEC degradation, so as to improve durability and prolong service life, and make large-scale use of SOEC further possible. SUMMARY
[0004] Therefore, it is necessary to provide a solid oxide electrolysis system operation parameter optimization method and device to solve the technical problem that the prior art is difficult to determine suitable operation parameters to reduce solid oxide electrolysis cell degradation, improve durability and prolong service life.
[0005] In order to solve the above problems, in a first aspect, the present application provides a solid oxide electrolysis system operation parameter optimization method, comprising: adding the Nernst voltage, ohmic loss, activation loss and concentration loss of the stack to construct an electrochemical model; constructing a degradation model based on the degradation law and coarsening law of the oxygen electrode, the degradation law of the fuel electrode, the degradation law of the electrolyte and the degradation law of the interconnection components of the solid oxide electrolysis system; constructing a degradation model based on the electrochemical model, the degradation model, the mass conservation model and the energy conservation model of the solid oxide electrolysis system, the heat conduction model of the heat exchanger and the working principle model of the air blower; inputting different solid oxide electrolysis system operation parameters into the degradation model for simulation, determining the electrolysis efficiency and attenuation rate of the solid oxide electrolysis system based on the simulation data, and determining the target operation parameters of the solid oxide electrolysis system by comprehensively considering the electrolysis efficiency and the attenuation rate.
[0006] In a possible implementation, the electrolysis efficiency and the decay rate of the solid oxide electrolysis system are determined based on the simulation data, and the target operation parameter of the solid oxide electrolysis system is determined by synthesizing the electrolysis efficiency and the decay rate. In the case where the simulation data meets the constraint condition, the operation parameters of each operation point of the solid oxide electrolysis system, and the corresponding electrolysis efficiency and decay rate are determined based on the simulation data. The electrolysis efficiency and the decay rate of each operation point are normalized respectively to obtain normalized electrolysis efficiency and decay rate. The normalized electrolysis efficiency and decay rate are weighted and summed, and the target operation parameter of the solid oxide electrolysis system is determined based on the operation parameter of each operation point when the weighted sum result is the maximum value.
[0007] In a possible implementation, the electrolysis efficiency is determined based on the amount of substance of hydrogen generated by the solid oxide electrolysis system, the low heat value of hydrogen, the current of the solid oxide electrolysis system, and the voltage of the solid oxide electrolysis system.
[0008] In a possible implementation, the calculation formula of the electrolysis efficiency is as follows:
[0009] wherein, is the electrolysis efficiency, is the amount of substance of hydrogen generated by the solid oxide electrolysis system, is the low heat value of hydrogen, is the current of the solid oxide electrolysis system, is the voltage of the solid oxide electrolysis system.
[0010] In a possible implementation, the decay rate is determined based on the running time of the solid oxide electrolysis system, the input voltage of the solid oxide electrolysis system after a set time length under constant current operation, and the initial input voltage of the solid oxide electrolysis system under constant current operation.
[0011] In a possible implementation, the calculation formula of the decay rate is as follows:
[0012] wherein, is the decay rate, the decay rate is the running time of the solid oxide electrolysis system t hours, the voltage decay rate per thousand hours; represents the input voltage of the solid oxide electrolysis system after t hours under constant current operation; represents the initial input voltage of the solid oxide electrolysis system under constant current operation.
[0013] In a possible implementation, the constraint conditions include a constraint condition of water vapor conversion rate, a constraint condition of effective working current density interval, and a temperature constraint condition.
[0014] In a possible implementation, the calculation formula of the water vapor conversion rate is as follows:
[0015] wherein, is the water vapor conversion rate, is the number of single cells in the solid oxide electrolysis system, is the standard molar volume, is the volume flow rate of water vapor in the standard state input into the solid oxide electrolysis system, F is the Faraday constant.
[0016] In a possible implementation, the temperature constraint condition includes a maximum temperature constraint, a stack temperature gradient constraint, and a stack inlet gas temperature difference constraint.
[0017] In a second aspect, the present application provides a solid oxide electrolysis system operation parameter optimization device, comprising: An electrochemical model construction module is configured to add the Nernst voltage, ohmic loss, activation loss, and concentration loss of the stack to construct an electrochemical model. A degradation model construction module is configured to construct a degradation model based on the degradation law and coarsening law of the oxygen electrode, the degradation law of the fuel electrode, the degradation law of the electrolyte, and the degradation law of the solid oxide electrolysis system interconnection component. A degradation module construction module is configured to construct a degradation model of the solid oxide electrolysis system based on the electrochemical model, the degradation model, the mass conservation model and the energy conservation model of the solid oxide electrolysis system, the heat conduction model of the heat exchanger, and the working principle model of the air blower. An operation parameter determination module is configured to input different solid oxide electrolysis system operation parameters into the degradation model for simulation, determine the electrolysis efficiency and the attenuation rate of the solid oxide electrolysis system based on the simulation data, and determine the target operation parameter of the solid oxide electrolysis system by comprehensively considering the electrolysis efficiency and the attenuation rate.
[0018] The beneficial effect of the above implementation manner is that the solid oxide electrolysis system operation parameter optimization method and device provided by the application adds the Nernst voltage, ohmic loss, activation loss and concentration loss of the electric pile, constructs an electrochemical model, also comprehensively considers the degradation law and coarsening law of the oxygen electrode, the degradation law of the fuel electrode, the degradation law of the electrolyte and the degradation law of the interconnection components of the solid oxide electrolysis system, and combines the mass conservation model and energy conservation model of the solid oxide electrolysis system, the heat conduction model of the heat exchanger and the working principle model of the air blower to construct a degradation model; the degradation model can be simulated according to different operation parameters, the electrolysis efficiency and the attenuation rate corresponding to various operation parameters are analyzed, and then the operation parameters corresponding to the optimal scheme with higher electrolysis efficiency and lower attenuation rate are comprehensively considered, the corresponding operation parameters can improve the durability and service life of the solid oxide electrolysis cell, thereby solving the technical problem that the prior art scheme is difficult to determine appropriate operation parameters to reduce the degradation of the solid oxide electrolysis cell, improve the durability and prolong the service life. BRIEF DESCRIPTION OF DRAWINGS
[0019] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.
[0020] Figure 1 The flow chart of one embodiment of the solid oxide electrolysis system operation parameter optimization method provided by the present application; Figure 2 The structural schematic diagram of the solid oxide electrolysis system provided by the present application; Figure 3 The modeling schematic diagram of the solid oxide electrolysis system provided by the present application; Figure 4 The principle block diagram of one embodiment of the solid oxide electrolysis system operation parameter optimization device provided by the present application; Figure 5 The structural schematic diagram of one embodiment of the electronic device provided by the present application. DETAILED DESCRIPTION
[0021] The technical solutions in the embodiments of the present application will be described clearly and completely in combination with the drawings of the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.
[0022] In the description of the embodiments of the present application, the meaning of "a plurality of" is two or more, unless otherwise specified.
[0023] The terms "comprising" and "having" and any variations thereof in the embodiments of the present application are intended to cover the inclusions not exclusively, for example, the processes, methods, devices, products or equipment comprising a series of steps or modules do not have to be limited to the clearly listed steps or modules, but can include other steps or modules that are not clearly listed or inherent to these processes, methods, products or equipment.
[0024] The naming or numbering of the steps appearing in the embodiments of the present application does not mean that the steps in the method flow must be performed in the time / logical order indicated by the naming or numbering, and the named or numbered flow steps can change the execution order according to the technical purpose to be achieved, as long as the same or similar technical effects can be achieved.
[0025] Reference to "embodiments" herein means that the specific features, structures or characteristics described in connection with the embodiments can be included in at least one embodiment of the present application. The phrase appears at various places in the specification does not necessarily all refer to the same embodiments, nor is it necessarily independent or alternative embodiments to other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.
[0026] The present application provides a solid oxide electrolysis system operating parameter optimization method and device, which are described below respectively.
[0027] At present, there are few studies on the influence of operating parameters on SOEC degradation, and most of the existing studies are on the influence of various operating parameters on system efficiency. Some studies considering SOEC degradation do not fully consider the degradation situation. Specifically, in the aspect of model establishment, due to the complex degradation mechanism of SOEC, there are many reasons leading to SOEC degradation, and it is not easy to establish an accurate and comprehensive degradation model, resulting in relatively few existing SOEC models. In the aspect of parameter optimization, most of the studies on SOEC focus on the collaborative optimization of temperature, efficiency and hydrogen yield of SOEC to ensure that the system can efficiently produce more hydrogen under the condition of meeting thermal safety, and no study considers the degradation problems of Ni agglomeration, electrolyte phase transition, LSM phase coarsening in oxygen electrode, oxygen electrode delamination and oxidation film formed on the interconnection.
[0028] As shown in Figure 1 The present application provides a solid oxide electrolysis system operating parameter optimization method, which comprises: S101. Add the Nernst voltage, ohmic loss, activation loss and concentration loss of the fuel cell to construct an electrochemical model.
[0029] It is understandable that the structural diagram of a solid oxide electrolysis system is as follows: Figure 2 As shown, it includes: a blower 201, a heat exchanger 202, a valve 203, a heater 204, a hydrogen storage tank 205, a pressure regulator 206, a mixing valve 207, a water container 208, a water pump 209, a steam generator 210, a water separator 211, and an SOEC (solid oxide electrolyzer). Reference Figure 3 As shown, the first step is to model the fuel cell stack and auxiliary components of the solid oxide electrolysis system. The fuel cell stack modeling includes electrochemical modeling, degradation modeling, mass conservation modeling, and energy conservation modeling. The auxiliary component modeling includes heat transfer modeling of the heat exchanger and blower modeling.
[0030] Electrochemical model: The voltage of a single cell can be obtained from the Nernst voltage and the three loss voltages:
[0031] in, , , , These represent the Nernst voltage, ohmic loss, activation loss, and concentration loss, respectively. The Nernst voltage is derived from the Nernst equation:
[0032] in, , , Represent , , The partial pressure.
[0033] in, It can be obtained from the following formula:
[0034] The activation voltage is caused by the slow electrochemical reaction rates at the fuel and oxygen electrodes. Part of the voltage generated during the chemical reactions driving electron transport or electron transfer out of the electrodes is lost; this voltage is highly nonlinear. The activation voltages of the fuel and air electrodes can be calculated using the Butler-Volmer equation:
[0035]
[0036] in is the current density, and are the ideal gas constant and Faraday constant, respectively, is the number of electrons participating in the electrochemical reaction =2, and are the exchange current densities of the fuel electrode and the air electrode, respectively, T denotes the temperature, and the calculation formula is as follows:
[0037]
[0038] wherein, is the pre-exponential factor of the fuel electrode, is the pre-exponential factor of the oxygen electrode, is the activation energy of the fuel electrode half-reaction, is the activation energy of the oxygen electrode half-reaction.
[0039] Ohmic loss is caused by the resistance of electrons passing through the electrode material and various connecting components and the resistance of ions passing through the electrolyte. This pressure drop is linearly proportional to the current density, and the calculation formula is as follows:
[0040] Concentration loss is caused by the change in the concentration of reactants on the electrode surface during use. This irreversibility is called concentration loss, and the decrease in concentration is caused by the inability to provide sufficient reactants to the electrode surface. The calculation formula is as follows:
[0041] S102, based on the degradation law and the coarsening law of the oxygen electrode, the degradation law of the fuel electrode, the degradation law of the electrolyte, and the degradation law of the solid oxide electrolysis system interconnection component, a degradation model is constructed.
[0042] It can be understood that the degradation model: For the degradation of the oxygen electrode, the commonly used LSM-YSZ oxygen electrode is mainly considered. Such oxygen electrode is prone to This chemical reaction, thereby forming (LZO) layer, LZO particles cover the oxygen electrode and electrolyte interface to weaken the interface strength. Accordingly, a corresponding degradation model is established to describe this phenomenon, and the mathematical model is as follows: ,
[0043] In addition, the oxygen electrode will be roughened due to the diffusion of Mn2+, and the degradation is evaluated by the length of TPB, which will affect the exchange current density of the air electrode, at which time the exchange current density needs to be corrected, and the model is established as follows:
[0044]
[0045]
[0046]
[0047] For the degradation of the fuel electrode, since Ni-YSZ has excellent electrocatalytic performance and the thermal expansion coefficient is close to YSZ electrolyte, it is often used as a fuel electrode, so the degradation mechanism of this kind of electrode is mainly studied, and the main degradation reason comes from the coarsening of Ni, which will affect the exchange current density of the fuel electrode, at which time the exchange current density needs to be corrected, and the model of Ni coarsening is established as follows:
[0048]
[0049]
[0050]
[0051] For the degradation of the electrolyte, the commonly used YSZ electrolyte is considered, and the degradation can be represented by the decrease of ionic conductivity and the increase of ohmic loss, which can be modeled as follows:
[0052]
[0053]
[0054] The degradation of the interconnection component is due to the formation of an oxide layer between the current collector and the interconnection component under high temperature and oxygen-rich environment, which increases the interface contact resistance, and the thickness of the oxide layer can be calculated according to the Wagner oxidation theory model as follows: ,
[0055] S103, based on the electrochemical model, the degradation model, the mass conservation model and the energy conservation model of the solid oxide electrolysis system, the heat transfer model of the heat exchanger, and the working principle model of the air blower, a degradation model of the solid oxide electrolysis system is constructed.
[0056] It can be understood that the mass conservation model mainly satisfies the following equations: ,
[0057] ,
[0058] where represents the number of moles, represents the molar flow rate, represents the temperature, and represent the inlet and outlet of the control unit, respectively, represents the molar concentration of the fluid .
[0059] Energy conservation model: For the gas control unit, mainly satisfy:
[0060] For the solid control unit, mainly satisfy:
[0061] ; ;
[0062] Then model the auxiliary components of the SOEC system: Heat exchanger: For the heat exchanger, the following formula should be followed:
[0063] where represents the heat conduction of the gas i in the heat exchanger with the gas j ; , , , are the density, volume, specific heat capacity, temperature of the gas i , respectively.
[0064] Blower: For the blower, the following formula should be followed:
[0065] where is the amount of substance of air, is the normal pressure specific heat capacity of air, is the temperature of the air flowing into the blower, is the efficiency of the blower, , respectively are the pressure of the air flowing into and out of the fan, is the specific heat capacity ratio of the air.
[0066] S104, input different solid oxide electrolysis system operation parameters into the degradation model for simulation, determine the electrolysis efficiency and the decay rate of the solid oxide electrolysis system based on the simulation data, and determine the target operation parameters of the solid oxide electrolysis system by comprehensively considering the electrolysis efficiency and the decay rate.
[0067] It can be understood that the method provided by the application can be executed by an application program on a terminal or a server, the terminal can be a mobile phone or a computer, and the server can be an edge server or a cloud server.
[0068] Based on the system model, the operation parameters of the SOEC system are optimized: First, after the model is verified by experiment, the air excess ratio and the water vapor conversion rate are changed under different current densities, the system efficiency and the decay rate are calculated by using the SOEC system degradation model, and the operation parameters that make the system run efficiently and have low decay are obtained through multi-objective optimization.
[0069] The application first establishes an SOEC system model considering the agglomeration of Ni, the phase change of the electrolyte, the LSM phase coarsening in the oxygen electrode, the delamination of the oxygen electrode and the formation of the oxide film on the interconnection, and then verifies the model, and then a SOEC system operation parameter optimization method is realized by the model, so that the system has a lower decay rate under the working state of efficient hydrogen production.
[0070] In some embodiments, based on the simulation data, the electrolysis efficiency and the decay rate of the solid oxide electrolysis system are determined, and the target operation parameters of the solid oxide electrolysis system are determined by comprehensively considering the electrolysis efficiency and the decay rate. In the case that the simulation data meets the constraint condition, the operation parameters of each operation point of the solid oxide electrolysis system and the corresponding electrolysis efficiency and decay rate are determined based on the simulation data; The electrolysis efficiency and the decay rate of each operation point are normalized respectively to obtain the normalized electrolysis efficiency and the decay rate; The normalized electrolysis efficiency and the decay rate are weighted and summed, and the target operation parameters of the solid oxide electrolysis system are determined based on the operation parameters of each operation point when the weighted sum result is the maximum.
[0071] It can be understood that the target operation parameters of the solid oxide electrolysis system are composed of the operation parameters of each operation point when the weighted sum result is the maximum.
[0072] Finally, the ranges and discrete steps of the three operation parameters are determined, as shown in Table 1: Table 1: Operation parameter table
[0073] The current density, water vapor conversion rate and air excess ratio of the operation points are set according to the above table, the operation parameters are taken as the input of the model, simulation is performed and simulation data is collected. It is checked whether the system temperature constraint is met during simulation. If met, the operation parameters, system efficiency (i.e. electrolysis efficiency), voltage decay rate and other data of this simulation are saved, and initialized for the next operation point. If not met, it is directly initialized for the next operation point. After the above steps are completed, all operation points that meet the temperature constraint and their corresponding system efficiency and decay rate are obtained.
[0074] After obtaining the above data, the system efficiency and decay rate of each operation point are normalized, and the processing formula is as follows:
[0075] represents the maximum efficiency under the above operation point, is the minimum decay rate under the above operation point.
[0076] The weighted objective function is used for optimization, and the formula is as follows:
[0077] and represent the normalized efficiency and decay rate. ω is the weight factor value, used to adjust the importance of system efficiency and decay rate in achieving the objective function.
[0078] After setting the appropriate weight factor according to the actual situation, the maximum is obtained, which realizes the parameter optimization of the system running with high efficiency and low decay.
[0079] In some embodiments, the electrolysis efficiency is determined based on the amount of substance of hydrogen gas produced by the solid oxide electrolysis system, the low heat value of hydrogen gas, the current of the solid oxide electrolysis system and the voltage of the solid oxide electrolysis system.
[0080] The calculation formula of the electrolysis efficiency is:
[0081] is the electrolysis efficiency, is the amount of substance of hydrogen gas produced by the solid oxide electrolysis system, is the low heat value of hydrogen gas. is the current of the solid oxide electrolysis system, is the voltage of the solid oxide electrolysis system.
[0082] It can be understood that, in order to obtain optimal system operation parameters, a higher electrolysis efficiency is required, and the electrolysis efficiency is positively correlated with the amount of substance of hydrogen gas generated by electrolysis, the low heat value of hydrogen gas, and the like, and is inversely correlated with the system voltage and the current.
[0083] In some embodiments, the decay rate is determined based on a running time of the solid oxide electrolysis system, an input voltage of the solid oxide electrolysis system after a set time length under constant current operation, and an initial input voltage of the solid oxide electrolysis system under constant current operation.
[0084] wherein the calculation formula of the decay rate is:
[0085] wherein, is the decay rate, the decay rate is a running time of the solid oxide electrolysis system t hours, a voltage decay rate per thousand hours (%); represents an input voltage (V) of the solid oxide electrolysis system after t hours under constant current operation; represents an initial input voltage (V) of the solid oxide electrolysis system under constant current operation.
[0086] It can be understood that, in order to obtain optimal operation parameters, a smaller decay rate is required, and the decay rate is positively correlated with the input voltage of the solid oxide electrolysis system after t hours under constant current operation.
[0087] In some embodiments, the calculation formula of the water vapor conversion rate is as follows:
[0088] wherein, is the water vapor conversion rate, is a number of single cells in the solid oxide electrolysis system, is a standard molar volume, is a volume flow rate of water vapor under standard state input into the solid oxide electrolysis system, F is a Faraday constant.
[0089] It can be understood that the water vapor conversion rate can be used to calculate the system electrolysis efficiency and the decay rate, and is positively correlated with the current and the number of single cells in the solid oxide electrolysis system, and is inversely correlated with the volume flow rate of water vapor under standard state input into the solid oxide electrolysis system.
[0090] In some embodiments, the constraint conditions include a constraint condition of the water vapor conversion rate, a constraint condition of an effective working current density range, and a temperature constraint condition.
[0091] The temperature constraints include the maximum temperature constraint, the stack temperature gradient constraint, and the stack inlet gas temperature difference constraint.
[0092] It is understandable that the operating parameters of the electrolysis system should satisfy the following constraints: When the system is working, the steam conversion rate cannot be too high or too low. If the steam conversion rate is too low, the system temperature will easily become too high, while if the steam conversion rate is too high, the raw material will be insufficient. The calculation formula and constraints are as follows:
[0093] in For water vapor conversion rate, This refers to the number of individual cells in the electrolysis system. For standard molar volume, The input is the volumetric flow rate of water vapor under standard conditions in the electrolysis system. is Faraday's constant.
[0094]
[0095] in , The minimum and maximum values of the water vapor conversion rate for normal operation of the fuel cell stack. , The values are typically 0.6 and 0.9, respectively.
[0096] The effective operating current density range of SOEC is generally considered to be 0~1A / cm². 2 That is, satisfying:
[0097] In addition to the constraints mentioned above, the system also needs to meet certain temperature constraints. The main temperature constraints and their general values are as follows: Maximum temperature constraint: The highest temperature inside the fuel cell stack should be below 1173K, which corresponds to the highest temperature of a single node being below 1173K in the established fuel cell stack model. Fuel cell stack temperature gradient constraint: The temperature gradient inside the fuel cell stack should be less than 8K / cm, which corresponds to the temperature difference between adjacent nodes (each node is 2cm long) being less than 16K in the established fuel cell stack model.
[0098] In addition, the temperature difference constraint of the gas at the inlet of the fuel cell stack must be met, that is, the temperature difference between water vapor and air at the inlet of the fuel cell stack should be less than 200K. In the established fuel cell stack model, this means that the temperature difference between water vapor and air at the inlet of the first node should be less than 200K.
[0099] like Figure 4 As shown, the present invention also provides a device 400 for optimizing operating parameters of a solid oxide electrolysis system, comprising: The electrochemical model construction module 401 is configured to add the Nernst voltage, ohmic loss, activation loss and concentration loss of the stack to construct an electrochemical model; The degradation model construction module 402 is configured to construct a degradation model based on the degradation law and roughening law of the oxygen electrode, the degradation law of the fuel electrode, the degradation law of the electrolyte and the degradation law of the solid oxide electrolysis system interconnection component; The degradation model construction module 403 is configured to construct a degradation model of the solid oxide electrolysis system based on the electrochemical model, the degradation model, the mass conservation model and the energy conservation model of the solid oxide electrolysis system, the heat conduction model of the heat exchanger and the working principle model of the air blower. The operation parameter determination module 404 is configured to input different operation parameters of the solid oxide electrolysis system into the degradation model for simulation, determine the electrolysis efficiency and the attenuation rate of the solid oxide electrolysis system based on the simulation data, and determine the target operation parameter of the solid oxide electrolysis system by comprehensively considering the electrolysis efficiency and the attenuation rate.
[0100] The solid oxide electrolysis system operation parameter device provided by the above embodiments can realize the technical solutions described in the solid oxide electrolysis system operation parameter method embodiments. The principles of the implementation of the above modules or units can be referred to the corresponding content in the solid oxide electrolysis system operation parameter method embodiments, which will not be described here.
[0101] As shown in Figure 5 The present application also provides an electronic device 500. The electronic device 500 includes a processor 501, a memory 502 and a display 503. Figure 5 Only some components of the electronic device 500 are shown, but it should be understood that all the components shown are not required, and more or less components can be implemented instead.
[0102] The memory 502 can be an internal storage unit of the electronic device 500 in some embodiments, such as a hard disk or a memory of the electronic device 500. The memory 502 can also be an external storage device of the electronic device 500 in other embodiments, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc.
[0103] Further, the memory 502 can include both an internal storage unit and an external storage device of the electronic device 500. The memory 502 is used to store application software and various data installed in the electronic device 500.
[0104] The processor 501 may, in some embodiments, be a central processing unit (CPU), a microprocessor or other data processing chip, for running program codes or processing data stored in the memory 502, such as the solid oxide electrolysis system operating parameter method of the present application.
[0105] The display 503 may, in some embodiments, be an LED display, a liquid crystal display, a touch liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, etc. The display 503 is used to display information of the electronic device 500 and to display a visualized user interface. The components 501-503 of the electronic device 500 communicate with each other through a system bus.
[0106] In some embodiments of the present application, when the processor 501 executes the solid oxide electrolysis system operating parameter program in the memory 502, the following steps can be implemented: adding the Nernst voltage, ohmic loss, activation loss and concentration loss of the stack to build an electrochemical model; building a degradation model based on the degradation law and roughening law of the oxygen electrode, the degradation law of the fuel electrode, the degradation law of the electrolyte and the degradation law of the solid oxide electrolysis system interconnection components; building a degradation model of the solid oxide electrolysis system based on the electrochemical model, the degradation model, the mass conservation model and the energy conservation model of the solid oxide electrolysis system, the heat conduction model of the heat exchanger, and the working principle model of the air blower; inputting different solid oxide electrolysis system operating parameters into the degradation model for simulation, determining the electrolysis efficiency and the decay rate of the solid oxide electrolysis system based on the simulation data, and determining the target operating parameters of the solid oxide electrolysis system by comprehensively considering the electrolysis efficiency and the decay rate.
[0107] It should be understood that, in addition to the above functions, the processor 501 may, when executing the solid oxide electrolysis system operating parameter program in the memory 502, also implement other functions, which can be referred to the description of the corresponding method embodiments above.
[0108] Further, the embodiments of the present application do not make specific limitation on the type of the electronic device 500 mentioned above, and the electronic device 500 can be a mobile phone, a tablet computer, a personal digital assistant (PDA), a wearable device, a laptop computer, or the like. Exemplary embodiments of the portable electronic device include, but are not limited to, a portable electronic device running an IOS, an android, a microsoft, or other operating system. The portable electronic device described above can also be other portable electronic devices, such as a laptop computer having a touch-sensitive surface (e.g., a touch panel), and the like. It should also be understood that in some other embodiments of the present application, the electronic device 500 can also not be a portable electronic device, but a desktop computer having a touch-sensitive surface (e.g., a touch panel).
[0109] In yet another aspect, the present application also provides a non-transitory computer readable storage medium having stored thereon a computer program, which, when executed by a processor, implements the solid oxide electrolysis system operating parameter method provided by the above method, the method comprising: adding the Nernst voltage, ohmic loss, activation loss, and concentration loss of the stack to construct an electrochemical model; constructing a degradation model based on the degradation law and coarsening law of the oxygen electrode, the degradation law of the fuel electrode, the degradation law of the electrolyte, and the degradation law of the interconnection components of the solid oxide electrolysis system; constructing a degradation model based on the electrochemical model, the degradation model, the mass and energy conservation models of the solid oxide electrolysis system, the heat conduction model of the heat exchanger, and the working principle model of the air blower; inputting different solid oxide electrolysis system operating parameters into the degradation model for simulation, determining the electrolysis efficiency and decay rate of the solid oxide electrolysis system based on the simulation data, and determining the target operating parameters of the solid oxide electrolysis system by comprehensively considering the electrolysis efficiency and the decay rate.
[0110] Those skilled in the art can understand that all or part of the processes of the above-mentioned embodiments can be completed by a computer program instructing relevant hardware, and the program can be stored in a computer readable storage medium. The computer readable storage medium includes a magnetic disk, an optical disk, a read-only memory, a random access memory, and the like.
[0111] The solid oxide electrolysis system operation parameter optimization method and device provided by the present application are described in detail above, and the principles and implementation modes of the present application are described by applying specific examples. The above description of the examples is only used to help understand the method of the present application and its core idea. Meanwhile, for those skilled in the art, according to the idea of the present application, the specific implementation modes and application ranges will be changed, and the above description of the content of the specification should not be understood as a limitation of the present application.
Claims
1. A method for optimizing operating parameters of a solid oxide electrolysis system, characterized in that, include: An electrochemical model is constructed by summing the Nernst voltage, ohmic loss, activation loss, and concentration loss of the fuel cell stack. A degradation model is constructed based on the degradation and coarsening laws of the oxygen electrode, the degradation law of the fuel electrode, the degradation law of the electrolyte, and the degradation law of the interconnection components of the solid oxide electrolysis system. Based on the electrochemical model, the degradation model, the mass conservation model and energy conservation model of the solid oxide electrolysis system, the heat transfer model of the heat exchanger, and the working principle model of the blower, a degradation model of the solid oxide electrolysis system is constructed. Different operating parameters of the solid oxide electrolysis system are input into the degradation model for simulation. Based on the simulation data, the electrolysis efficiency and degradation rate of the solid oxide electrolysis system are determined, and the target operating parameters of the solid oxide electrolysis system are determined by combining the electrolysis efficiency and the degradation rate.
2. The method for optimizing operating parameters of a solid oxide electrolysis system according to claim 1, characterized in that, The electrolysis efficiency and decay rate of the solid oxide electrolysis system are determined based on simulation data, and the target operating parameters of the solid oxide electrolysis system are determined by combining the electrolysis efficiency and the decay rate, including: Under the condition that the simulation data meets the constraints, the operating parameters of each operating point of the solid oxide electrolysis system, as well as the corresponding electrolysis efficiency and decay rate are determined based on the simulation data. The electrolysis efficiency and decay rate at each operating point are normalized to obtain the normalized electrolysis efficiency and decay rate. The normalized electrolysis efficiency and decay rate are weighted and summed. Based on the operating parameters of each operating point when the weighted summation result is at its maximum value, the target operating parameters of the solid oxide electrolysis system are determined.
3. The method for optimizing operating parameters of a solid oxide electrolysis system according to claim 1, characterized in that, The electrolysis efficiency is determined based on the amount of hydrogen produced by the solid oxide electrolysis system, the lower heating value of hydrogen, the current of the solid oxide electrolysis system, and the voltage of the solid oxide electrolysis system.
4. The method for optimizing operating parameters of a solid oxide electrolysis system according to claim 3, characterized in that, The formula for calculating electrolysis efficiency is: in, For electrolysis efficiency, This refers to the amount of hydrogen produced by the electrolysis of a solid oxide electrolysis system. Because of the low calorific value of hydrogen, This refers to the current in a solid oxide electrolysis system. This represents the voltage of the solid oxide electrolysis system.
5. The method for optimizing operating parameters of a solid oxide electrolysis system according to any one of claims 1-4, characterized in that, The attenuation rate is determined based on the operating time of the solid oxide electrolysis system, the input voltage of the solid oxide electrolysis system after a set time under constant current operation, and the initial input voltage of the solid oxide electrolysis system under constant current operation.
6. The method for optimizing operating parameters of a solid oxide electrolysis system according to claim 5, characterized in that, The formula for calculating the attenuation rate is: in, The decay rate is the operating time of the solid oxide electrolysis system. t Voltage decay rate per thousand hours; This indicates that the solid oxide electrolysis system operates under constant current. t Input voltage after hours; This represents the initial input voltage of the solid oxide electrolysis system under constant current operation.
7. The method for optimizing operating parameters of a solid oxide electrolysis system according to claim 2, characterized in that, The constraints include constraints on water vapor conversion rate, constraints on effective operating current density range, and temperature constraints.
8. The method for optimizing operating parameters of a solid oxide electrolysis system according to claim 7, characterized in that, The formula for calculating the water vapor conversion rate is as follows: in, For water vapor conversion rate, This refers to the number of single cells in a solid oxide electrolysis system. For standard molar volume, The input is the volumetric flow rate of water vapor under standard conditions in the solid oxide electrolysis system. F is Faraday's constant.
9. The method for optimizing operating parameters of a solid oxide electrolysis system according to claim 7, characterized in that, The temperature constraints include the maximum temperature constraint, the stack temperature gradient constraint, and the stack inlet gas temperature difference constraint.
10. A device for optimizing operating parameters of a solid oxide electrolysis system, characterized in that, include: The electrochemical model building module is used to add up the Nernst voltage, ohmic loss, activation loss and concentration loss of the fuel cell stack to build an electrochemical model. The degradation model construction module is used to construct degradation models based on the degradation and coarsening laws of the oxygen electrode, the degradation law of the fuel electrode, the degradation law of the electrolyte, and the degradation law of the interconnection components of the solid oxide electrolysis system. The degradation module construction module is used to construct a degradation model of the solid oxide electrolysis system based on the electrochemical model, the degradation model, the mass conservation model and energy conservation model of the solid oxide electrolysis system, the heat conduction model of the heat exchanger, and the working principle model of the blower. The operating parameter determination module is used to input different operating parameters of the solid oxide electrolysis system into the decay model for simulation, determine the electrolysis efficiency and decay rate of the solid oxide electrolysis system based on the simulation data, and determine the target operating parameters of the solid oxide electrolysis system by combining the electrolysis efficiency and the decay rate.