A method, device, equipment and medium for designing and optimizing a multi-energy cogeneration system considering SOFC operating characteristics

Abstract

The present application relates to a kind of multi-energy supply system design optimization method, device, equipment and medium considering SOFC operating characteristics, comprising: by simulating and solving process model and electrochemical model, the operating characteristics of SOFC are obtained;On the basis of considering the operating characteristics of SOFC, the design optimization model of the multi-energy supply system based on SOFC facing specific application scenarios is constructed;The design optimization model of the multi-energy supply system based on SOFC constructed is solved;Based on the solution result, the rated power or rated capacity of each equipment in the multi-energy supply system based on SOFC and optimal operation scheme are determined.The present application can be widely applied in the field of distributed energy technology system design.

Description

Technical Field

[0001] This invention relates to the field of distributed energy technology system design, specifically to a method, apparatus, equipment, and medium for optimizing the design of a multi-energy supply system that takes into account the operating characteristics of SOFC (solid oxide fuel cell). Background Technology

[0002] SOFC, as a third-generation power generation technology, has advantages such as higher power generation efficiency and waste heat recovery compared with traditional power generation technologies. When combined with energy storage and energy conversion equipment, it forms a solid oxide fuel cell-cooling-heating-power (SOFC-CCHP) system, which can meet the user's cooling, heating and power load requirements, thereby realizing the function of multi-energy supply.

[0003] However, existing system design methods typically treat the electrical and thermal efficiencies of SOFCs as constant values, ignoring their actual operational characteristics that vary with SOFC operating conditions. This simplification leads to a lack of effective coordination in power scheduling between energy storage and energy conversion equipment, making it difficult to consider the system's capacity configuration. Summary of the Invention

[0004] To address the aforementioned problems, the present invention aims to provide a method, apparatus, equipment, and medium for optimizing the design of a multi-energy supply system that considers the operating characteristics of SOFC. By comprehensively considering the operating characteristics of SOFC, namely the correlation between fuel flow rate and electrical and thermal power, as well as ramp-up characteristics, the multi-energy supply system can be optimized for application scenarios that supply various types of energy.

[0005] To achieve the above objectives, the present invention adopts the following technical solution: In a first aspect, the present invention provides a design optimization method for a multi-energy combined heat and power (CHP) system that considers the operating characteristics of SOFC, comprising: The operating characteristics of SOFCs were obtained by simulating and solving process and electrochemical models. Based on the operating characteristics of SOFC, a design optimization model for a SOFC-based multi-energy supply system is constructed for specific application scenarios. The design optimization model of the SOFC-based multi-energy supply system is solved. Based on the solution results, the rated power or rated capacity of each device in the SOFC-based combined energy supply system and the optimal operating scheme are determined.

[0006] Furthermore, the process of simulating and solving the process model and electrochemical model to obtain the operating characteristics of SOFC includes: Construct an SOFC process model; Based on the constructed SOFC process model, an electrochemical model of SOFC is established. Based on the constructed electrochemical model of SOFC, simulation software was used to conduct operation simulations to obtain the corresponding electrical and thermal power data generated by the fuel flow during SOFC operation, and the operating characteristics of SOFC were obtained through processing.

[0007] Furthermore, the electrochemical model of the SOFC includes: The output power of an SOFC is expressed as: ; ; ; In the formula, For the electrical power of SOFC, For SOFC current, The voltage of the SOFC; It is Faraday's constant. The amount of oxygen consumed in the electrochemical reaction; For Nernst voltage, For Ohm's loss, To reduce activation loss, This is due to concentration loss.

[0008] Furthermore, the operating characteristics of the SOFC include electrical power and thermal power, expressed as follows:

[0009] In the formula, For SOFC in the Heavenly Electric power at any given moment No. Heavenly Thermal power at any moment No. Heavenly fuel flow rate at any given time and The parameter of the quadratic term in the relation is... and The parameter of the linear term in the relation. and This is the zero-degree term in the relation.

[0010] Furthermore, the design optimization model for a SOFC-based multi-energy supply system, considering the operational characteristics of SOFC, and oriented towards specific application scenarios, includes: Determine the load data based on the given specific application scenario; Based on the determined load data, the design optimization objectives and constraints of the SOFC-based multi-energy supply system are constructed.

[0011] Furthermore, the design optimization objectives of the SOFC-based multi-energy supply system are determined according to the specific application scenario, including minimizing annual costs, maximizing SOFC efficiency, or minimizing power curtailment rate.

[0012] Furthermore, the constraints include system energy balance, SOFC operating characteristic-related constraints, energy balance of the energy storage system, energy storage system power and charge / discharge constraints, cooling system power constraints, grid interaction power and state constraints.

[0013] Secondly, the present invention provides a design optimization device for a multi-energy combined heat and power system that considers the operating characteristics of SOFC, comprising: The SOFC operating characteristics acquisition module is used to acquire the operating characteristics of SOFC by simulating and solving process models and electrochemical models. The optimization model building module is used to build a design optimization model for a SOFC-based multi-energy supply system for specific application scenarios, taking into account the operating characteristics of SOFC. The model solving module is used to solve the design optimization model of the SOFC-based multi-energy supply system. The operation scheme output module is used to determine the rated power or rated capacity of each device in a SOFC-based combined energy supply system and the optimal operation scheme based on the solution results.

[0014] Thirdly, the present invention provides a computer-readable storage medium for storing one or more programs, said one or more programs including instructions that, when executed by a computing device, cause the computing device to perform any method.

[0015] Fourthly, the present invention provides a computing device comprising: one or more processors and a memory, wherein the memory stores one or more programs and is configured to be executed by the one or more processors, the one or more programs including instructions for performing any method.

[0016] The present invention has the following advantages due to the adoption of the above technical solutions: The present invention optimizes the design by establishing a model that takes into account the actual operating characteristics of SOFC, and by clarifying the relationship between SOFC electrical power, thermal power and fuel flow, and comprehensively considering the supply of electrical energy, thermal energy and cold energy of the energy system, it can not only improve the overall economy of the system, but also enhance the flexibility of power scheduling between energy storage equipment and energy conversion equipment. Attached Figure Description

[0017] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Throughout the drawings, the same reference numerals denote the same parts. In the drawings: Figure 1 This is the design optimization process for a multi-energy supply system based on SOFC operating characteristics provided in this embodiment of the invention; Figure 2 This is the SOFC process flow provided in the embodiments of the present invention; Figure 3 These are the SOFC operation characteristics provided in the embodiments of the present invention; Figure 4 This is a structural diagram of a multi-energy supply system based on SOFC operating characteristics provided in this embodiment of the invention; Figure 5 This is a schematic diagram of the design and operation scheme of the multi-energy supply system provided in the embodiments of the present invention. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the described embodiments of the present invention are within the scope of protection of the present invention.

[0019] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the scope of exemplary embodiments according to the invention. As used herein, the singular form is intended to include the plural form as well, unless the context clearly indicates otherwise. Furthermore, it should be understood that when the terms "comprising" and / or "including" are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof.

[0020] In some embodiments of the present invention, a design optimization method for a multi-energy supply system considering the operating characteristics of SOFC is provided. Based on the operating characteristics of SOFC, by clarifying the relationship between SOFC electrical power, thermal power and fuel flow, and comprehensively considering the supply of electrical energy, thermal energy and cold energy of the energy system, a design scheme for a multi-energy supply system based on SOFC power generation and heat generation with the minimum total cost within the research time period is realized.

[0021] Correspondingly, in other embodiments of the present invention, a design optimization apparatus, device, and medium for a multi-energy supply system that takes into account the operating characteristics of SOFC are provided.

[0022] Exemplary embodiments of the invention will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the invention and to fully convey the scope of the invention to those skilled in the art.

[0023] Example 1 like Figure 1 As shown in the figure, this embodiment provides a design optimization method for a multi-energy supply system considering the operating characteristics of SOFC, which includes the following steps: 1) Obtain the operating characteristics of SOFC by simulating and solving process and electrochemical models; 2) Based on the operational characteristics of SOFC, construct a design optimization model for a SOFC-based multi-energy supply system for specific application scenarios; 3) Solve the design optimization model of the SOFC-based multi-energy supply system; 4) Based on the solution results of step 3), determine the rated power or rated capacity of each device in the SOFC-based combined energy supply system and the optimal operating scheme.

[0024] Furthermore, step 1) above includes the following steps: 1.1) Construct the SOFC process model.

[0025] like Figure 2 The diagram shows the SOFC process model constructed in this embodiment, which includes: an SOFC, a combustion chamber (BURNER), a first recovery unit (RECUPERATE1), a second recovery unit (RECUPERATE2), and a heat exchanger (HEAT). Air and fuel, after passing through the first and second recovery units, enter the anode and cathode of the SOFC, respectively, where an electrochemical reaction occurs. During this process, the SOFC generates electrical energy and releases a large amount of heat. Fuel and air exiting from the anode and cathode outlets of the SOFC enter the combustion chamber, where unreacted fuel undergoes complete combustion. The high-temperature exhaust gas is then sent to the first and second recovery units to heat the fuel and air before passing through the heat exchanger and exiting at 50°C. The heat exchanger collects the heat energy generated by the SOFC during this process.

[0026] 1.2) Based on the constructed SOFC process model, an electrochemical model of SOFC is established.

[0027] Fuel cells operate based on electrochemical principles, and an electrochemical model of SOFC is constructed to determine the electrical and thermal energy output of a solid oxide fuel cell.

[0028] The output power of SOFC can be expressed as:

[0029] In the formula, For the electrical power of SOFC, For SOFC current, This is the voltage of the SOFC.

[0030] SOFC current It can be represented as:

[0031] In the formula, It is Faraday's constant. This represents the amount of oxygen consumed in the electrochemical reaction.

[0032] The voltage of an SOFC can be expressed as:

[0033] In the formula, For Nernst voltage, For Ohm's loss, To reduce activation loss, This is due to concentration loss.

[0034] Nernst voltage It can be represented as:

[0035] In the formula, Let be the ideal gas constant. Battery operating temperature , and They are respectively , and The partial voltage, It is the reversible potential under the standard condition of 1 bar.

[0036] It can be represented as:

[0037] Ohm loss It is the voltage loss caused by the transfer of electrons between ions through the anode, cathode, and electrolyte, and can be expressed as:

[0038] In the formula, , , These are the resistivities of the anode, cathode, and electrolyte of the SOFC module, respectively. , , These represent the thicknesses of the anode, cathode, and electrolyte in an SOFC module. This represents the active area of ​​the battery.

[0039] Activation loss The loss caused by the energy barrier that reactants must overcome can be expressed as:

[0040] In the formula, and The activation losses at the anode and cathode, respectively, can be expressed as:

[0041]

[0042] In the formula, , These are the charge transfer coefficients at the anode and cathode, respectively. , These represent the exchange current densities at the anode and cathode, respectively. This represents the current density of the battery.

[0043] Battery current density It can be represented as:

[0044] Exchange current density on the anode and cathode , , can be represented as:

[0045]

[0046] In the formula, and These are the pre-exponential factors for the anode and cathode, respectively. and These are the activation energies of the anode and cathode, respectively. For reference, work pressure.

[0047] Concentration loss The voltage loss is due to the mass transfer limitation when the gas phase enters and passes through the electrode. In this model, since the thickness of the anode is much smaller than that of the cathode, the anode mass transfer resistance can be ignored, and only the concentration loss of the cathode portion is considered, which is expressed as:

[0048] In the formula, The limiting current density on the cathode can be expressed as:

[0049] In the formula, The effective diffusion coefficient on the cathode can be expressed as:

[0050] In the formula, is the general diffusion coefficient of the gas in the cathode. and These are porosity and tortuosity, respectively.

[0051] 1.3) Based on the constructed electrochemical model of SOFC, the operation simulation was carried out using relevant simulation software to obtain the corresponding electrical power and thermal power data generated by the fuel flow during the operation of SOFC, and the operating characteristics of SOFC were obtained by processing.

[0052] Based on the electrochemical model of SOFC constructed in step 1.2), the corresponding electrical and thermal power data generated by the fuel flow during SOFC operation are obtained by calculating the electrochemical model.

[0053] like Figure 3 As shown, the operating characteristics of the SOFC are obtained by fitting the electrical power, thermal power, and fuel flow rate. The relationship between the electrical power and thermal power of the SOFC is expressed as:

[0054] In the formula, For SOFC in the Heavenly Electric power at any given moment No. Heavenly Thermal power at any moment No. Heavenly fuel flow rate at any given time and The parameter of the quadratic term in the relation is... and The parameter of the linear term in the relation. and This is the zero-degree term in the relation.

[0055]

[0056] In the formula, and These represent the maximum and minimum values ​​of the SOFC electrical power, respectively. and These represent the maximum and minimum values ​​of the SOFC thermal power, respectively. and These represent the maximum and minimum values ​​of SOFC fuel mass flow rate, respectively.

[0057] Furthermore, step 2) above includes the following steps: 2.1) Determine the load data based on the given specific application scenario.

[0058] In this embodiment, under a given specific application scenario, such as office buildings, hotels, data centers, etc., where there is a demand for cooling, heating, and electricity, the load data is determined by acquiring the electricity, heating, and cooling consumption data of the user load system under a typical cycle (day, month, or year), as well as the corresponding grid electricity price at each moment.

[0059] like Figure 4 The diagram shows the SOFC-based combined energy supply system constructed in this embodiment. The system includes a power grid, an SOFC system, an energy storage battery, a thermal storage tank, an electric chiller, and an absorption chiller. The SOFC system, power grid, and energy storage battery are connected to a power bus to meet the electrical load's power needs. The SOFC system and thermal storage tank are connected to a thermal bus to meet the thermal load's heat needs. The electric chiller is connected to the power bus to convert electrical energy into cold energy; the absorption chiller is connected to the thermal bus to convert heat energy into cold energy, and together they meet the cooling load's cooling needs.

[0060] 2.2) Based on the determined load data, construct the design optimization objectives and constraints of the SOFC-based multi-energy supply system.

[0061] In this embodiment, a design optimization model is established based on a SOFC-based combined energy supply system designed for a specific application scenario. This model includes the operational optimization objective of the combined energy supply system and the corresponding constraints. The operational optimization objective can be determined according to the specific application scenario, such as minimizing the annual cost of the entire combined energy supply system, maximizing SOFC efficiency, and minimizing the curtailment rate. The constraints include system energy balance, SOFC operational characteristic constraints, energy balance of the energy storage system, energy storage system performance and charge / discharge constraints, cooling system power constraints, grid interaction power, and state constraints.

[0062] Under different optimization objectives, the extracted load data and the required constraints are the same, specifically: ①System energy balance.

[0063] System energy balance refers to the balance of energy between the supply side and the user side at any time of year. The system energy balance designed in this embodiment mainly includes power balance, heat balance, and cooling balance.

[0064] In a combined energy supply system, the sum of power generation, energy storage system discharge, and power supply from the external grid equals the sum of the load demand, battery charging, electricity sold to the external grid, and electricity consumed by the cooling system. Therefore, the power balance of the combined energy supply system can be expressed as:

[0065] In the formula, For the electrical power of the SOFC system, This refers to the discharge power of the energy storage battery. The system purchases power from the grid. For electrical load, The charging power of the energy storage battery, In order for the system to sell power to the grid, The electrical power consumed by the electric chiller.

[0066] In a combined energy supply system, the sum of the heat generated and the heat supplied by the energy storage system equals the heat demanded by the load side, the heat stored by the energy storage system, and the heat consumed by the cooling system. Therefore, the heat balance of the combined energy supply system can be expressed as:

[0067] In the formula, For the thermal power of the SOFC system, To provide heating power to the thermal storage tank, For heat load, The thermal storage capacity of the thermal storage tank. The heat power consumed for cooling.

[0068] In a combined energy supply system, the system cooling capacity equals the cooling energy demanded by the load side. Therefore, the cooling energy balance of the combined energy supply system can be expressed as:

[0069] In the formula, The cooling power generated by the thermal chiller. The cooling power generated by the electric chiller. It is a cold load.

[0070] ②Constraints related to the operational characteristics of SOFC.

[0071] SOFCs generate electricity and heat in this combined energy system. The operating characteristics of SOFCs are used to model the combined energy system. The electrical and thermal power of a single SOFC may not match the energy required by the demand side. Design optimization requires configuring the scale of SOFCs.

[0072] Based on the SOFC operating characteristics determined in step 1), calculate the scale of the SOFC system in the combined energy supply system. The electrical and thermal power of the SOFC system are:

[0073] In the formula, The number of SOFCs For SOFC in the Heavenly Fuel flow rate at any given time (kg / s) For SOFC in the Heavenly System fuel flow rate at any given time (kg / s) For SOFC in the Heavenly Electric power (kW) at any given time. For SOFC in the Heavenly System power (kW) at any given time. For SOFC in the Heavenly Thermal power (kW) at any given time. For SOFC systems in the first Heavenly Thermal power (kW) at any given time.

[0074] Because SOFCs operate at high temperatures, they exhibit slow power change, necessitating the setting of SOFC ramp-up power. Electric power at time minus The power at time t is 0.2 times the power of the SOFC system, and the ramp power constraint is:

[0075] ③ Energy balance of the energy storage system.

[0076] An energy storage system includes an energy storage battery and a thermal storage tank. The energy storage battery stores electrical energy, and the thermal storage tank stores heat.

[0077] Energy storage batteries after a time interval The remaining charge is equal to the energy storage battery after a time interval. The amount of electricity after self-discharge, plus the amount of electricity generated during the time interval. The amount of charge on the battery, minus the amount of charge applied during the time interval. The discharge capacity of the battery. Therefore, the energy storage battery at time intervals... The electrical balance on the surface can be expressed as:

[0078] In the formula, and The first Heavenly Time and the The energy storage battery's capacity (kWh) at all times. and These are the energy storage batteries. Heavenly The charging and discharging power at any given time, and These refer to the charging and discharging efficiencies of the energy storage battery, respectively. The self-loss rate of the energy storage battery. and These represent the maximum and minimum values ​​of the state of charge (SOC) of the energy storage battery. This refers to the rated capacity (kWh) of the energy storage battery.

[0079] The thermal storage tank after a time interval The heat generated after the time interval is equal to the heat storage tank. The heat released from the heat source, plus the heat generated during the time interval... The amount of heat stored in the upper heat storage tank, minus the amount stored during the time interval. The heat supplied by the upper heat storage tank. Therefore, the heat storage tank at time intervals... The heat balance can be expressed as:

[0080] In the formula, and The first Heavenly Time and the The amount of heat (kWh) in the thermal storage tank at all times. and respectively For the heat storage and heating capacity of the thermal storage tank, and These refer to the heat storage and heating efficiency of the thermal storage tank, respectively. The heat loss rate of the thermal storage tank. and These represent the maximum and minimum values ​​of the state of charge of the thermal storage tank, respectively. This refers to the rated capacity (kWh) of the thermal storage tank.

[0081] ④ Power and charge / discharge constraints of the energy storage system.

[0082] The power constraint of a storage battery for charging and discharging at any time interval can be expressed as:

[0083] In the formula, The rated power (kW) of the energy storage battery. For energy storage batteries, the charge and discharge states are two variables. and These represent the maximum and minimum values ​​of the state of charge (SOC) of the energy storage battery. This refers to the rated capacity (kWh) of the energy storage battery.

[0084] The power constraint of charging and discharging of the thermal storage tank at any time interval can be expressed as:

[0085] In the formula, The rated power (kW) of the thermal storage tank. It is a binary variable representing the heating status of the thermal storage tank.

[0086] ⑤ Power constraints of the refrigeration system.

[0087] The refrigeration system consists of an absorption chiller and an electric chiller, both of which supply the cooling energy required by the demand side. The absorption chiller consumes the waste heat from the SOFC to produce the cooling energy needed by the demand side, while the electric chiller can utilize the electrical energy from the SOFC, the electrical energy from the energy storage battery, and the electrical energy supplied by the grid to produce cooling energy to meet the cooling energy requirements of the demand side.

[0088] The power constraint of an absorption chiller can be expressed as:

[0089]

[0090] In the formula, This refers to the cooling power of the absorption chiller. The coefficient of performance (COP) of the refrigeration unit. The heat power consumed by the absorption chiller. This refers to the rated power of the absorption chiller.

[0091] The power constraint of an electric chiller can be expressed as:

[0092]

[0093] In the formula, For the power of the electric chiller, The coefficient of performance (COP) of an electric refrigeration unit. The electrical power consumed by the electric chiller. This refers to the rated power of the electric chiller.

[0094] ⑥ Power grid interaction and state constraints.

[0095]

[0096] In the formula, Indicates the power exchange of the power grid. Indicates the amount of electricity purchased from the power grid. Indicates the power output sold to the grid. It is a binary variable representing the interaction state between the system and the power grid.

[0097] Furthermore, in step 3) above, the design optimization model based on the SOFC multi-energy combined supply system is a mixed integer nonlinear programming (MINLP) model. Considering the above constraints, the optimization model is input into the calculation software to solve the objective function, and the result under the objective function conditions can be obtained.

[0098] Furthermore, in step 4) above, the optimal operation scheme of the SOFC multi-energy combined supply system is determined based on the solution results of the model.

[0099] The following example, taking the optimal solution under the condition of minimizing the total cost of the entire multi-energy combined supply system as the optimization objective, illustrates the extraction and analysis of the results in this invention.

[0100] Following the above process, a design optimization model for a SOFC-based combined energy supply system is constructed and solved. This yields the rated power of the SOFC, the rated capacity and rated power of related equipment in the combined energy supply system, and the power scheduling of different equipment in the system at any given time. A stacked bar chart of equipment power is then created with power as the vertical axis and time as the horizontal axis, providing the power scheduling scheme for all equipment in the combined energy supply system. Figure 5 As shown. Figure 5 The power values ​​corresponding to the different shapes of the bars in the graph represent the operating power of different devices in the system when the total system cost is minimized. The rated power of different devices can be obtained by... Figure 5 The maximum power of each device in the system is determined. Therefore, by... Figure 5 This allows us to obtain the rated power of the system equipment selected when the total cost is minimized, as well as the power information of any device in the system at any given time, which is the optimal design and operation scheme of the combined energy supply system.

[0101] Example 2 The above-described embodiment 1 provides a method for designing and optimizing a multi-energy supply system considering SOFC operating characteristics. Correspondingly, this embodiment provides a device for designing and optimizing a multi-energy supply system considering SOFC operating characteristics. The device provided in this embodiment can implement the method for designing and optimizing a multi-energy supply system considering SOFC operating characteristics described in embodiment 1. This device can be implemented through software, hardware, or a combination of both. For example, the device may include integrated or separate functional modules or units to execute the corresponding steps in the methods of embodiment 1. Since the device in this embodiment is basically similar to the method embodiment, the description process in this embodiment is relatively simple. Relevant details can be found in the description of embodiment 1. The embodiment of the device provided in this embodiment is merely illustrative.

[0102] This embodiment provides a design optimization device for a multi-energy combined heat and power system that considers the operating characteristics of SOFC, including: The SOFC operating characteristics acquisition module is used to acquire the operating characteristics of SOFC by simulating and solving process models and electrochemical models. The optimization model building module is used to build a design optimization model for a SOFC-based multi-energy supply system for specific application scenarios, taking into account the operating characteristics of SOFC. The model solving module is used to solve the design optimization model of the SOFC-based multi-energy supply system; The operation scheme output module is used to determine the rated power or rated capacity of each device in a SOFC-based combined energy supply system and the optimal operation scheme based on the solution results.

[0103] Example 3 This embodiment provides a processing device corresponding to the multi-energy supply system design optimization method considering SOFC operating characteristics provided in Embodiment 1. The processing device can be a client-side processing device, such as a mobile phone, laptop, tablet computer, desktop computer, etc., to execute the method of Embodiment 1.

[0104] The processing device includes a processor, a memory, a communication interface, and a bus. The processor, memory, and communication interface are connected via the bus to enable communication between them. The memory stores a computer program that can run on the processor. When the processor runs the computer program, it executes the multi-energy combined heat and power system design optimization method considering SOFC operating characteristics provided in Embodiment 1.

[0105] Preferably, the memory may be high-speed random access memory (RAM), and may also include non-volatile memory, such as at least one disk storage device.

[0106] Preferably, the processor can be any type of general-purpose processor such as a central processing unit (CPU) or a digital signal processor (DSP), and there is no limitation herein.

[0107] Example 4 The multi-energy supply system design optimization method considering SOFC operating characteristics in Embodiment 1 can be specifically implemented as a computer program product. The computer program product may include a computer-readable storage medium on which computer-readable program instructions are loaded for executing the multi-energy supply system design optimization method considering SOFC operating characteristics described in Embodiment 1.

[0108] A computer-readable storage medium can be a tangible device that holds and stores instructions for use by an instruction execution device. A computer-readable storage medium can be, for example, but not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any combination thereof.

[0109] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0110] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0111] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0112] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0113] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A design optimization method for a multi-energy combined heat and power system considering the operating characteristics of SOFC, characterized in that, include: The operating characteristics of SOFCs were obtained by simulating and solving process and electrochemical models. Based on the operating characteristics of SOFC, a design optimization model for a SOFC-based multi-energy supply system is constructed for specific application scenarios. The design optimization model of the SOFC-based multi-energy supply system is solved. Based on the solution results, the rated power or rated capacity of each device in the SOFC-based combined energy supply system and the optimal operating scheme are determined.

2. The design optimization method for a multi-energy combined heat and power system considering SOFC operating characteristics as described in claim 1, characterized in that, The process of simulating and solving the process model and electrochemical model to obtain the operating characteristics of SOFC includes: Construct an SOFC process model; Based on the constructed SOFC process model, an electrochemical model of SOFC is established. Based on the constructed electrochemical model of SOFC, simulation software was used to conduct operation simulations to obtain the corresponding electrical and thermal power data generated by the fuel flow during SOFC operation, and the operating characteristics of SOFC were obtained through processing.

3. The design optimization method for a multi-energy combined heat and power system considering the operating characteristics of SOFC as described in claim 2, characterized in that, The electrochemical model of the SOFC includes: The output power of an SOFC is expressed as: ； ； ； In the formula, For the electrical power of SOFC, For SOFC current, The voltage of the SOFC; It is Faraday's constant. The amount of oxygen consumed in the electrochemical reaction; For Nernst voltage, For Ohm's loss, To reduce activation loss, This is due to concentration loss.

4. The design optimization method for a multi-energy combined heat and power system considering SOFC operating characteristics as described in claim 2, characterized in that, The operating characteristics of the SOFC include electrical power and thermal power, and the relationship is expressed as follows: ； In the formula, For SOFC in the Heavenly Electric power at any given moment No. Heavenly Thermal power at any moment No. Heavenly fuel flow rate at any given time and The parameter of the quadratic term in the relation is... and The parameter of the linear term in the relation. and This is the zero-degree term in the relation.

5. The design optimization method for a multi-energy combined heat and power system considering SOFC operating characteristics as described in claim 1, characterized in that, The design optimization model for a SOFC-based multi-energy supply system, considering the operational characteristics of SOFC, and oriented towards specific application scenarios, includes: Determine the load data based on the given specific application scenario; Based on the determined load data, the design optimization objectives and constraints of the SOFC-based multi-energy supply system are constructed.

6. The design optimization method for a multi-energy combined heat and power system considering SOFC operating characteristics as described in claim 5, characterized in that, The design optimization objectives of the SOFC-based multi-energy supply system are determined according to the specific application scenario, including minimizing annual costs, maximizing SOFC efficiency, or minimizing power curtailment rate.

7. The design optimization method for a multi-energy combined heat and power system considering SOFC operating characteristics as described in claim 5, characterized in that, The constraints include system energy balance, SOFC operating characteristic-related constraints, energy balance of the energy storage system, energy storage system power and charge / discharge constraints, cooling system power constraints, grid interaction power and state constraints.

8. A design optimization device for a multi-energy combined heat and power system considering the operating characteristics of SOFC, characterized in that, include: The SOFC operating characteristics acquisition module is used to acquire the operating characteristics of SOFC by simulating and solving process models and electrochemical models. The optimization model building module is used to build a design optimization model for a SOFC-based multi-energy supply system for specific application scenarios, taking into account the operating characteristics of SOFC. The model solving module is used to solve the design optimization model of the SOFC-based multi-energy supply system. The operation scheme output module is used to determine the rated power or rated capacity of each device in a SOFC-based combined energy supply system and the optimal operation scheme based on the solution results.

9. A computer-readable storage medium for storing one or more programs, characterized in that, The one or more programs include instructions that, when executed by a computing device, cause the computing device to perform any of the methods described in claims 1 to 7.

10. A computing device, characterized in that, include: One or more processors and a memory, wherein the memory stores one or more programs and is configured to be executed by the one or more processors, the one or more programs including instructions for performing any of the methods described in claims 1 to 7.

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