Target configuration determination method, device and equipment for tri-generation system and medium

Abstract

The invention relates to the technical field of energy, in particular to a target configuration determination method, device, equipment and medium of a tri-generation system, according to the method, corresponding system simulation models are constructed through preset configuration parameters such as the effect level of a refrigeration unit and the working medium, and performance economic calculation is carried out on the multiple system simulation models to determine the target configuration of the tri-generation system. And obtaining a performance index set and an economic index set of different configuration systems so as to determine the target configuration of the trigeneration system from different configurations. Thus, the system simulation model is constructed through the preset configuration parameters, and the performance of the tri-generation system under different configurations can be accurately simulated, so that the performance and the economic index of each system configuration are comprehensively evaluated, the target configuration meeting actual requirements is accurately determined, the energy utilization rate and the economic benefit of the system are improved, and the economic benefit of the system is improved. Energy consumption and system operation cost are effectively reduced, and scientific decision support is provided for practical application.

Description

Technical Field

[0001] The present application relates to the technical field of energy, and particularly to a method, device, equipment and medium for determining the target configuration of a combined cooling, heating and power (CCHP) system. Background Art

[0002] With the continuous growth of energy demand and the increasingly strict environmental protection requirements, the combined cooling, heating and power (CCHP) system, as a multi-effect system integrating heat, electricity and cooling functions, has shown great application potential in modern energy-saving buildings and industrial processes.

[0003] However, most of the existing CCHP systems rely on experience or simple engineering assumptions in the design and configuration process, and factors such as the synergy effect, load distribution, and energy efficiency ratio between different units are not fully considered, resulting in low overall round-trip efficiency of the CCHP system.

[0004] Therefore, there is an urgent need for a method to effectively determine the target configuration of the CCHP system to improve the energy utilization rate and economic benefits of the CCHP system. Summary of the Invention

[0005] In view of the above problems, the present invention provides a method, device, equipment and medium for determining the target configuration of a CCHP system to improve the energy utilization rate and economic benefits of the CCHP system.

[0006] In the first aspect, the present application provides a method for determining the target configuration of a CCHP system, where the CCHP system includes an energy storage unit, a circulation unit and a refrigeration unit, and the method includes:

[0007] Based on multiple preset configuration parameters of the refrigeration unit, respectively construct corresponding system simulation models; the preset configuration parameters include the effect level and working medium of the refrigeration unit;

[0008] Based on a preset configuration analysis strategy, perform performance and economic calculations on multiple system simulation models to obtain a performance index set and an economic index set for each system simulation model;

[0009] Based on the performance index set and the economic index set, determine the target configuration of the CCHP system from the system configurations corresponding to each system simulation model.

[0010] In the second aspect, the present application provides a device for determining the target configuration of a CCHP system, where the CCHP system includes an energy storage unit, a circulation unit and a refrigeration unit, and the device includes:

[0011] A building unit for respectively building corresponding system simulation models based on multiple preset configuration parameters of the refrigeration unit; the preset configuration parameters include the effect level and the working medium of the refrigeration unit;

[0012] An evaluation unit for performing performance and economic calculations on multiple system simulation models based on a preset configuration analysis strategy to obtain a performance index set and an economic index set for each system simulation model;

[0013] A determination unit for determining a target configuration of the cogeneration system from the system configurations corresponding to each system simulation model based on the performance index set and the economic index set.

[0014] Optionally, the evaluation unit is specifically configured to:

[0015] Perform performance index calculations on each system simulation model based on a preset performance analysis strategy to obtain a performance index set for each system simulation model; the performance index set characterizes the overall energy utilization rate of the cogeneration system;

[0016] Perform economic index calculations on each system simulation model based on a preset economic analysis strategy to obtain an economic index set for each system simulation model; the economic index set characterizes the economic feasibility of the corresponding cogeneration system.

[0017] Optionally, the performance index set includes the round-trip efficiency of the energy storage unit, the refrigeration efficiency of the refrigeration unit, and the overall round-trip efficiency of the cogeneration system.

[0018] Optionally, the economic index set includes the levelized cost of electricity and the payback period of the cogeneration system.

[0019] Optionally, the effect level of the refrigeration unit includes a single-effect level and a double-effect level. The double-effect level indicates that the corresponding refrigeration unit has two solution heat exchangers, and the two solution exchangers are used for internal heat exchange between a high-temperature condenser and a low-pressure desorber; the single-effect level indicates that the refrigerant of the corresponding refrigeration unit is generated in the desorber.

[0020] Optionally, the energy storage unit is configured to convert electrical energy into the internal energy of high-pressure air and store the high-pressure air during the low electricity consumption period; release the internal energy of the air to obtain electrical energy during the high electricity consumption period;

[0021] The circulation unit is configured to obtain the surplus heat energy of the energy storage unit and convert the surplus heat energy into electrical energy;

[0022] The refrigeration unit is configured to obtain the heat energy of the flue gas of the circulation unit and convert the heat energy into cold energy.

[0023] In a third aspect, the present application provides a computer device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the method for determining the target configuration of any one of the cogeneration systems in the first aspect is implemented.

[0024] In a fourth aspect, the present application provides a computer storage medium. Computer program instructions are stored in the computer-readable storage medium, and the computer program instructions are executed by the processor to implement the method for determining the target configuration of any one of the cogeneration systems in the first aspect.

[0025] In a fifth aspect, a computer program product provided by an embodiment of the present application includes computer program instructions. When the computer program instructions are executed by the processor, the method for determining the target configuration of any one of the cogeneration systems in the first aspect is implemented.

[0026] The beneficial effects of the present invention are as follows:

[0027] An embodiment of the present application provides a method for determining the target configuration of a cogeneration system. The cogeneration system includes an energy storage unit, a circulation unit, and a refrigeration unit. The method respectively constructs corresponding system simulation models through multiple preset configuration parameters such as the effect level and working medium of the refrigeration unit, and performs performance and economic calculations on the multiple system simulation models through a preset configuration analysis strategy to obtain a performance index set and an economic index set for each system simulation model. Thus, through the performance index set and the economic index set, the target configuration of the cogeneration system is determined from the system configurations corresponding to each system simulation model. In this way, by constructing a system simulation model through preset configuration parameters, the performance of the cogeneration system under different configurations can be accurately simulated, so as to comprehensively evaluate the performance and economic indicators of each configuration, accurately determine the target configuration that meets the requirements, improve the energy utilization rate and economic benefits of the system, effectively reduce energy consumption and system operation costs, and provide scientific decision-making support for practical applications. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following will briefly introduce the drawings required for use in the description of the embodiments or related technologies. Obviously, the drawings in the following description are only the embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained according to the provided drawings without creative efforts.

[0029] Figure 1 It is a schematic flowchart of a method for determining the target configuration of a cogeneration system provided by an embodiment of the present application;

[0030] Figure 2 It is a temperature-entropy diagram of a single-effect refrigeration unit provided by an embodiment of the present application;

[0031] Figure 3 It is a temperature-entropy diagram of a dual-effect refrigeration unit provided by an embodiment of the present application;

[0032] Figure 4 It is a schematic structural diagram of a trigeneration system provided by an embodiment of the present application;

[0033] Figure 5 It is a schematic structural diagram of another trigeneration system provided by an embodiment of the present application;

[0034] Figures 6(a)-(d) are schematic diagrams showing the influence of the outlet temperature of the heat exchanger and the mass flow rate of the refrigeration unit on CCHP systems with different configurations provided by an embodiment of the present application;

[0035] Figure 7 It is a schematic comparison diagram of system simulation models with different configurations provided by an embodiment of the present application;

[0036] Figure 8 It is a cost-income statement of a CCHP system with different configurations provided by an embodiment of the present application;

[0037] Figure 9 It is a schematic structural diagram of a device for determining the target configuration of a trigeneration system provided by an embodiment of the present application;

[0038] Figure 10 It is a schematic structural diagram of a computer device provided by an embodiment of the present application. Detailed implementation manners

[0039] To make the objectives, technical solutions, and advantages of the present application clearer and more understandable, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Apparently, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments of the present application, all other embodiments obtained by those of ordinary skill in the art without making creative efforts fall within the scope of protection of the present application. Without conflict, the embodiments in the present application and the features in the embodiments can be combined with each other arbitrarily. And although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order from here.

[0040] In the description and claims of this application and the above-mentioned drawings, the terms "first" and "second" are used to distinguish different objects, rather than to describe a specific order. In addition, the term "including" and any variations thereof are intended to cover non-exclusive protection. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but may optionally also include steps or units not listed, or may optionally also include other steps or units inherent to these processes, methods, products or devices. The "multiple" in this application may mean at least two, for example, it may be two, three or more, and the embodiments of this application do not make limitations.

[0041] The term "and / or" in the embodiments of this application is merely a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " in this article generally represents an "or" relationship between the associated objects before and after.

[0042] The design concept of the embodiments of this application will be briefly introduced below.

[0043] With the development of the global economy and the continuous growth of the population, the demand for energy continues to increase. The overuse of traditional fossil fuels has led to serious environmental problems, such as increased greenhouse gas emissions and climate change, forcing the industry to accelerate the transformation to renewable energy. However, the intermittency and unpredictability of renewable energy (such as wind energy and solar energy, etc.) have led to huge challenges in its large-scale application. Currently, to address the instability problem of renewable energy, energy storage technologies are often used for regulation to ensure the stable and efficient utilization of energy supply. And the traditional single energy conversion method has been difficult to meet the requirements of modern society for energy efficiency, environmental protection and sustainability, and the CCHP system has emerged to further improve the comprehensive utilization efficiency of energy. The trigeneration system can, through the comprehensive effect of the three functions of heat collection, power generation and cooling, improve the energy utilization efficiency while reducing energy consumption, reducing emissions, and optimizing the multiple utilization of energy.

[0044] However, most of the current trigeneration systems still rely on experience or simple engineering assumptions in the design and configuration process, and factors such as the synergy effect, load distribution, and energy efficiency ratio between different units have not been fully considered, resulting in low energy utilization efficiency and economic benefits of the trigeneration system.

[0045] To solve the above problems, the embodiments of the present application provide a method for determining the target configuration of a combined cooling, heating and power (CCHP) system. The CCHP system includes an energy storage unit, a circulation unit and a refrigeration unit. The method respectively constructs corresponding system simulation models through multiple preset configuration parameters such as the effect level and working medium of the refrigeration unit, and performs performance and economic calculations on the multiple system simulation models through a preset configuration analysis strategy to obtain the performance index set and economic index set of each system simulation model. Thus, through the performance index set and economic index set, the target configuration of the CCHP system is determined from the system configurations corresponding to each system simulation model. In this way, by constructing system simulation models through preset configuration parameters, the performance of the CCHP system under different configurations can be accurately simulated, so as to comprehensively evaluate the performance and economic indicators of each configuration, accurately determine the target configuration that meets the requirements, improve the energy utilization rate and economic benefits of the system, effectively reduce energy consumption and system operation costs, and provide scientific decision-making support for practical applications.

[0046] The following briefly introduces the application scenarios applicable to the technical solutions of the embodiments of the present application. It should be noted that the application scenarios described below are only used to illustrate the embodiments of the present application rather than to limit them. In the specific implementation process, the technical solutions provided by the embodiments of the present application can be flexibly applied according to actual needs.

[0047] The solutions provided by the embodiments of the present application can be applied to most application scenarios that require the supply of cold energy, electric energy and heat energy to improve energy utilization rate and economic benefits. For example, through the method for determining the target configuration of the CCHP system provided by the embodiments of the present application, the synergistic effects of each subunit of the CCHP system can be comprehensively considered, and different configurations of the CCHP system can be comprehensively considered from the aspects of performance indicators and economic indicators, so as to optimize the system configuration and improve the energy utilization efficiency and economic benefits of the CCHP system. In addition, the embodiments of the present application can also flexibly adjust the configuration of the CCHP system according to specific application scenarios (such as different load demands and working conditions) to meet the specific needs of different industries and scales. For example, in a production workshop with high electricity demand, the system can give priority to providing electricity; while in an area with large heat demand, the system can provide more heat by adjusting the configuration, and at the same time provide cold energy in the area where refrigeration is required.

[0048] Of course, the method provided by the embodiments of the present application is not limited to the above application scenarios and can also be used in other possible application scenarios, which are not restricted by the embodiments of the present application. The functions that can be realized by each device in the above application scenarios will be described together in the subsequent method embodiments, and will not be elaborated here.

[0049] Next, in combination with the application scenarios described above, the method provided by the exemplary embodiments of the present application will be described with reference to the accompanying drawings. It should be noted that the above application scenarios are only shown for the convenience of understanding the spirit and principle of the present application, and the embodiments of the present application are not limited in this regard.

[0050] As Figure 1 shown, the embodiments of the present application provide a method for determining the target configuration of a trigeneration system, and the specific process of this method is as follows:

[0051] Step 101: Based on multiple preset configuration parameters of the refrigeration unit, construct corresponding system simulation models respectively.

[0052] In the embodiments of the present application, the trigeneration system may include an energy storage unit, a circulation unit, and a refrigeration unit. For the refrigeration unit among them, the present application can preset different configuration parameters, such as the effect level and working medium of the refrigeration unit, so as to obtain trigeneration systems with different configurations for subsequent model simulation and index calculation, and determine the desired target configuration from the trigeneration systems with different configurations.

[0053] In a possible implementation manner, the energy storage unit of the trigeneration system may be a Compressed Air Energy Storage (CAES) system, which is used to convert electrical energy into the internal energy of high-pressure air through compressed air technology during the low electricity consumption period, so as to store the excess electrical energy, and during the high electricity consumption period, convert the stored air internal energy into electrical energy to achieve the time transfer and supply balance of electricity. The circulation unit may be an Organic Rankine Cycle (ORC) unit, which is used to recover the waste heat of the compressor in the CAES unit and convert the heat energy into electrical energy through a generator. The refrigeration unit may be an Absorption Refrigeration System (ARS), which is used to recover the heat energy in the flue gas generated by the circulation unit and convert the heat energy into cold energy. In this way, during the non-high electricity consumption period, the CAES unit stores electrical energy and recovers waste heat to drive ORC power generation, and during the high electricity consumption period, it uses the stored compressed air to generate electricity. The ORC unit uses waste heat to generate electricity, and the excess heat drives ARS refrigeration, realizing the efficient utilization of energy and the efficient conversion of various energy forms, and improving the energy utilization efficiency.

[0054] In a possible implementation manner, the effect level of the ARS represents different ways of realizing heat exchange effect or cooling effect in the thermodynamic cycle of the refrigeration unit, including but not limited to single-effect ARS and double-effect ARS. Among them, the single-effect ARS realizes the refrigeration cycle through an evaporator and a condenser, and the double-effect ARS enhances the refrigeration effect through internal heat exchange.

[0055] Specifically, the double-effect ARS can have two solution heat exchangers, which are respectively used for internal heat exchange between the high-temperature condenser and the low-pressure desorber, providing a higher pressure level, and the refrigerant is generated in the desorber and the second-effect desorber, thereby increasing the amount of water vapor generated under the same heat input. The single-effect ARS unit does not have such an internal heat exchanger, and in the single-effect ARS system, the refrigerant is only generated in the desorber.

[0056] Specifically, the single-effect ARS unit uses waste heat as the driving energy and can use different working media such as LiBr-H 2 O or NH 3 -H 2 O, etc., and completes the refrigeration cycle through main components such as a desorber, a condenser, an evaporator, and an absorber. Refer to Figure 2 The temperature-entropy diagram (T-S diagram) of a single-effect ARS provided by an embodiment of the present application is shown. Refer to Figure 3 The temperature-entropy diagram (T-S diagram) of a double-effect ARS provided by an embodiment of the present application is shown. Among them, the vertical axis (T) represents temperature (unit: °C), the horizontal axis (S) represents entropy (unit: kJ / °C), Yi represents the saturated vapor of the refrigerant, Xi represents the saturated liquid, TS represents the concentration of the concentrated solution, and DS represents the concentration of the dilute solution. The streams involved in the refrigerant circuit are: 49, 43, 44, 45, 46, 47, 48, 49. The streams involved in the solution circuit are: 49, 50, 51, 52, 47, 48, 49. The T-S of this diagram can represent the refrigerant characteristics related to the mixture, and the refrigerant and solution circuits overlap, such as Figure 2 between points 47 and 49 shown. And this T-S diagram reflects the energy changes in different states during the refrigeration cycle. Each curve shows the entropy change of the refrigerant in each process at different temperatures. The different temperatures and entropy values of each process determine the energy conversion efficiency of the system. Among them, the DESORBER curve represents the desorption process, which is a part of the absorption cycle. In this process, the solution releases the absorbed heat. The condenser 2 (COND2) curve represents the condensation process, and the absorbed heat is released at this stage. The refrigerant becomes liquid in this stage. The ARS curve represents the process in which the refrigerant absorbs heat in the absorber, turning the solution into a concentrated solution. The evaporator (Evaporator, EVAP) curve represents the evaporation process of the solution in the evaporator, absorbing heat and turning the refrigerant into a gaseous state. The heat exchanger (Superheat Exchanger, SHX) curve represents the heat exchange process between different fluids in the system. TD, TC, TA, and TE respectively represent the temperatures of different parts of the desorber, condenser, absorber, and evaporator. These temperature lines help to understand the heat transfer and energy consumption of the system in each process. Combine Figure 2 and Figure 3It can be seen that compared with the single-effect ARS system, the double-effect ARS system has two solution heat exchangers for internal heat exchange. They are located between the high-temperature condenser (COND3) and the desorber at a lower pressure, while the single-effect ARS system does not have such internal heat exchangers. With such a design, the double-effect ARS can have a higher pressure level, while the pressure level of the single-effect ARS is relatively low. And in the double-effect ARS system, the refrigerant is generated in the desorber and the second-effect desorber, thus increasing the amount of water vapor generated under the same heat input. While in the single-effect ARS system, the refrigerant is only generated in the desorber. Therefore, the double-effect ARS system is superior to the single-effect ARS system in terms of internal heat exchange, pressure level, and refrigerant generation, and can generate more water vapor under the same heat input, improving the refrigeration efficiency of the system.

[0057] In a possible implementation, the working medium refers to a substance that conducts heat exchange, absorbs, and releases energy during the refrigeration or thermodynamic cycle process, including but not limited to lithium bromide-aqueous solution (LiBr-H2O) and ammonia-aqueous solution (NH3-H2O). In this way, by selecting a suitable working medium, heat can be efficiently absorbed and released during the refrigeration process, thereby improving the overall thermal efficiency of the system.

[0058] In summary, the embodiments of the present application can combine the CAES unit, the ORC unit, and the ARS with different configuration parameters to form a trigeneration system with different configurations.

[0059] Specifically, by integrating CAES, ORC, and the ARS with different configuration parameters, configurations such as the CCHP-1 system (working medium is LiBr-H2O), the CCHP-2 system (working medium is NH3-H2O), the CCHP-3 system (LiBr-H2O), and the CCHP-4 system (NH3-H2O) can be formed to meet different actual energy supply requirements.

[0060] In a possible implementation, referring to Figure 4 The following is a schematic structural diagram of a CCHP system provided by an embodiment of the present application. The Figure 4represents the partial configuration structures of the CCHP-1 system (with LiBr-H2O as the working medium) and CCHP-2 (with NH3-H2O as the working medium) that adopt a single-effect ARS unit. Among them, the CAES unit converts the excess electricity into compressed air through a multistage compressor (including one low-pressure compressor and six high-pressure compressors) during the off-peak electricity consumption period and stores it in an underground cave. At the same time, the waste heat generated during the compression process by the multistage compressor is recovered and used as the heat source for the ORC unit to drive the evaporation of the organic working fluid in the ORC system to generate electricity. In the ORC unit, R600a can be selected as the organic working fluid, and the waste heat is recovered through the evaporator and converted into steam to drive the turbine to generate electricity. During the peak electricity consumption period, the stored high-pressure compressed air is released and burned in the combustion chamber, thereby generating additional electricity through turbine expansion. And during this process, the excess heat generated can be used to drive the single-effect ARS system to achieve the cold energy output of the system.

[0061] In a possible implementation manner, referring to Figure 5 is a schematic diagram of a CCHP system provided by an embodiment of the present application. The Figure 5 represents the partial configuration structures of the CCHP-3 (with LiBr-H2O as the working medium) and CCHP-4 (with NH3-H2O as the working medium) that adopt a double-effect ARS unit. Among them, the double-effect ARS unit has two solution heat exchangers (SHXs) for internal heat exchange. The two SHXs are located between the high-temperature condenser (COND3) and the low-pressure desorber (DESORBER), so that the double-effect ARS can provide a higher pressure level, and the refrigerant is generated in the desorber and the second-effect desorber, enabling the CCHP system to increase the production of water vapor under the same heat input.

[0062] In a possible implementation manner, the embodiments of the present application can simulate the trigeneration systems with different configurations through process simulation software to construct corresponding system simulation models.

[0063] Specifically, the Aspen V12 process simulation software can be used to simulate the trigeneration systems with different configurations. Among them, the CAES unit includes components such as a multistage centrifugal compressor, a gas storage cave, a recuperator, a combustion chamber, and a turbine. The ORC unit includes components such as an expander, a condenser, a fluid pump, and an evaporator. HeatX blocks and the like can be used to simulate the relevant components and perform simulations based on assumptions. For the ARS system, considering the operating conditions and working fluids, multiple blocks can be used for simulation and steady-state simulation can be performed based on assumptions. At the same time, by comparing the CAES, ORC, and ARS models with relevant data respectively, the accuracy of the models can be verified and the relative error can be reduced.

[0064] Specifically, for the CAES unit, the assumptions during simulation include: the process is simulated under steady-state conditions, the isentropic efficiency of the multistage compressor is 75%, the pressure drops of all components are neglected, the isentropic efficiency of the turbine is 93%, and the natural gas is 100% CH 4 , and the temperature is 32°C. The simulation results of the model are compared with those of other CAES projects, and the relative errors of parameters such as the inlet temperature, pressure, and outlet temperature are all less than 1%.

[0065] For the ORC unit, the assumptions during simulation include: the ORC operates under steady-state conditions; the pressure drops of all components are neglected; the outlet flow of the condenser is assumed to be in a saturated liquid state; the isentropic efficiencies of the ORC expander and pump are both assumed to be 90%. The experimental data can be selected from the relevant data of other experimenters. The organic working fluid is R600a. The simulation results are compared with the plant data, and the relative errors of parameters such as the EVAP outlet temperature, output power, cooling water temperature, EVAP heat transfer rate, OT heat transfer rate, and COND heat transfer rate are all less than 3%. For the ARS unit, the simulation results of different working media can be compared with the data in other relevant literatures, and the relative errors of parameters such as pressure, heat transfer rate, concentration, and COP are all less than 1%.

[0066] For the ARS unit, the assumptions during simulation include: the pressure drops of all heat exchangers are neglected; all heat losses are neglected; the states of the refrigerant leaving the condenser and evaporator are both saturated; the isentropic efficiency of the pump is 85%.

[0067] Step 102: Based on the preset performance analysis strategy, calculate the performance indicators for each system simulation model to obtain the performance indicator set of each system simulation model.

[0068] In the embodiments of the present application, after constructing the system simulation models of the combined heat and power systems with different configurations, performance analysis can be performed on each system simulation model, multiple performance indicators of each system simulation model can be calculated, and the corresponding performance indicator set can be obtained. This performance indicator set reflects the overall energy utilization rate of the combined heat and power system and is used to subsequently determine the system target configuration that meets the relevant requirements.

[0069] In a possible implementation, for the CAES unit, the Round - Trip Efficiency (RTE) can be used to calculate performance metrics. The RTE is used to measure the efficiency of the CAES unit in converting input energy into output energy. When calculating the RTE, the total energy output of the turbine, the chemical energy input of the fuel, and the total energy input of the compressor need to be considered. By dividing the total energy output of the turbine by the sum of the chemical energy input of the fuel and the total energy input of the compressor, the RTE of the CAES can be obtained. For the ARS unit, the Coefficient of Performance (COP) can be used to evaluate its refrigeration efficiency. The COP reflects the ability of the ARS system to provide cooling capacity under a certain energy consumption. When calculating the COP, the heat absorbed by the evaporator, the heat supplied by the desorber, and the power consumption of the ARS pump need to be considered. By dividing the heat absorbed by the evaporator by the sum of the heat supplied by the desorber and the power consumption of the ARS pump, the COP of the ARS can be obtained. For the overall RTE of the CCHP system, multiple factors are comprehensively considered, including the energy of the turbine, the ORC unit, the ARS unit, and the heat supply. When calculating the overall RTE of the CCHP system, the energy output of the turbine, the energy output of the ORC system, the cooling capacity of the ARS system, and the heat supply energy are added together, and then divided by the sum of the chemical energy input of the fuel, the energy input of the compressor, the power consumption of the ORC pump, and the power consumption of the ARS pump.

[0070] Specifically, the Peng - Robinson equation of state can be used to calculate the physical properties of the CAES and simplify the simulation. By calculating the RTE value of the CAES, the comprehensive energy utilization efficiency of the CAES system from fuel input and compressor power consumption to turbine power generation can be measured. By calculating the overall RTE value of the system, the efficiency between the electrical, cooling, and heating outputs of the CCHP system and the fuel and equipment power consumption is comprehensively evaluated, reflecting the overall energy utilization efficiency of the system. The ELECNRTL method can be used to calculate the physical properties of the ARS and simplify the simulation, and calculate the COP value of the ARS, that is, the ratio of the cooling capacity to the input energy, reflecting the energy utilization effect of absorption refrigeration.

[0071] The formula for calculating the RTE of the CAES unit is as follows:

[0072]

[0073] Among them, represents the power generation power of the turbine in the CAES, with the unit of power (such as kW), which is the effective energy released after the compressed air expands through the turbine, that is, the effective output of the system from energy storage to power generation.

[0074] E fuelRepresents the input energy of the fuel, with the unit of energy (such as kJ). In the CAES unit, the fuel (such as natural gas) is used to heat the compressed air, thereby enhancing the power generation capacity of the turbine, reflecting the impact of the system's fuel consumption on energy efficiency.

[0075] Represents the power consumption of the compressor, with the unit of power (such as kW), which is the electrical energy input required to compress air into the gas storage tank during the energy storage process.

[0076] The RTE calculation formula for the CCHP system is:

[0077]

[0078] Among them, Represents the power generation of the turbine, that is, the effective output of the system's power generation through the turbine.

[0079] Represents the net power output generated by the ORC unit.

[0080] Represents the cooling capacity generated by the ARS unit, which is the cooling effect achieved by the ARS unit through absorbing heat (waste heat from CAES or ORC), reflecting the refrigeration efficiency generated by the system's waste heat utilization.

[0081] Represents the heat output of the system, including the thermal energy from fuel combustion and waste heat recovery.

[0082] Represents the power consumption of the circulation pump in the ORC unit, which is expressed as the electrical energy required to maintain the flow of the organic working fluid and is used to evaluate the energy consumption during the operation of the ORC system.

[0083] Represents the power consumption of the circulation pump in the ARS unit, which is expressed as the electrical energy required to maintain the circulation of the absorbent solution and reflects the operating energy consumption of the ARS unit.

[0084] The COP calculation formula for the ARS unit is:

[0085]

[0086] Represents the cooling capacity provided by the evaporator, which is the main refrigeration output of the ARS, with the unit of power (such as kW). The evaporator provides a cooling effect by absorbing heat.

[0087] Represents the heat consumed by the desorber, with the unit of power (such as kW). The desorber separates the refrigerant from the absorbent through a heat source (such as waste heat or fuel heating).

[0088] Represents the power consumption of the circulation pump in the ARS system.

[0089] In one possible implementation, the embodiments of the present application also determine the reference design conditions of the CCHP system, including boundary conditions and parameters such as the compressor outlet mass flow rate, charge and discharge time, and the temperature at the outlet of the regenerator. Based on the above parameters and conditions, for CCHP systems with different configurations (CCHP-1, CCHP-2, CCHP-3, and CCHP-4), the effects of different regenerator outlet temperatures and ARS mass flow rates on the system performance indicators are evaluated and compared.

[0090] Specifically, for the charging process of the CAES unit, the relevant parameters can be set as follows: ambient temperature 25°C, ambient pressure 1.013 bar, compressor pressure ratio 1.96177, compressor outlet mass flow rate 353 kg / s, compressor isentropic efficiency 75%, and charging time 3 hours. For the discharging process of the CAES, the relevant parameters include: discharging time 6 hours, high-pressure turbine inlet pressure 34.40 bar, turbine isentropic efficiency 93%, low-pressure turbine inlet pressure 17.93 bar, fuel inlet pressure of combustion chamber 1 44.82 bar, fuel inlet pressure of combustion chamber 2 24.13 bar, fuel inlet temperature of combustion chamber 1 32.22°C, and fuel inlet temperature of combustion chamber 2 32.22°C. The relevant cycle parameters of the ORC unit include: ORC turbine inlet pressure 19.85 bar, condenser pressure 4 bar, ORC evaporator temperature 100°C, ORC condenser temperature 30°C, ORC turbine isentropic efficiency 90%, and ORC pump isentropic efficiency 90%. The relevant parameters of the ARS unit include: regenerator outlet temperature (desorber inlet temperature) 210°C, desorber outlet temperature 120°C, CCHP-1 ARS mass flow rate 55 kg / s, CCHP-2 ARS mass flow rate 72 kg / s, CCHP-3 ARS mass flow rate 76 kg / s, and CCHP-4 ARS mass flow rate 156 kg / s.

[0091] Specifically, refer to Figure 6(a) - Figure 6(b)The figure shows the schematic diagram of the influence of the heat exchanger outlet temperature and the ARS mass flow rate on CCHP systems with different configurations. The horizontal axis represents the ARS mass flow rate (Mass flowrate), with the unit of kg / s. The mass flow rate generally refers to the mass of the fluid passing through per unit time, that is, it represents the flow rate of the gas or liquid entering the ARS unit. There are two vertical axes in the figure, representing the coefficient of performance (COP) and the energy utilization efficiency (RTE) respectively, and the solid line and the dashed line are used to represent the changes of COP and RTE respectively. COP and RTE increase with the increase of the mass flow rate, and the positive correlation with the regenerator outlet temperature is obvious. Among them, Figure 6(a) represents the influence of the heat exchanger outlet temperature and the ARS mass flow rate on CCHP-1. According to Figure 6(a), when the ARS mass flow rate is between 30 and 40 kg / s, COP and RTE increase, especially at 210°C, the effect is significant. However, when it exceeds 40 kg / s, COP and RTE decrease, possibly due to the actual limitations of the ARS operating range and the increase of heat transfer irreversibility in the heat exchanger. Figure 6(b) represents the influence of the heat exchanger outlet temperature and the ARS mass flow rate on CCHP-2. According to Figure 6(b), since the latent heat of NH3-H2O is lower than that of LiBr-H2O, the designed mass flow rate of the CCHP-2 system is higher than that of CCHP-1. With the increase of the ARS mass flow rate, COP and RTE also increase. Especially when the ARS mass flow rate is about 100 kg / s and the regenerator outlet temperature is about 210°C, the performance indicators of the CCHP-2 system reach the peak. Figure 6(c) represents the influence of the heat exchanger outlet temperature and the ARS mass flow rate on CCHP-2. According to Figure 6(c), COP and RTE increase with the increase of the mass flow rate, and as the regenerator outlet temperature rises, COP also increases. At a mass flow rate of about 120 kg / s and a regenerator outlet temperature of 210°C, the performance indicators of the CCHP-3 system reach the peak. Figure 6(d) represents the influence of the heat exchanger outlet temperature and the ARS mass flow rate on CCHP-2. According to Figure 6(d), when the ARS mass flow rate is 180 kg / s and the regenerator outlet temperature is 210°C, the performance indicators of the CCHP-4 system reach the peak.

[0092] Step 103: Based on the preset economic analysis strategy, calculate the economic indicators for each system simulation model to obtain the economic indicator set of each system simulation model.

[0093] In the embodiments of the present application, after constructing the system simulation models of the combined heat and power systems with different configurations, economic analysis can be carried out on each system simulation model, calculate multiple economic indicators of each system simulation model, and obtain the corresponding economic indicator set. This economic indicator set reflects the economic feasibility of the corresponding combined heat and power system.

[0094] In a possible implementation manner, the embodiments of the present application may preset economic indicators for evaluating the economic benefits of the system to determine the economic feasibility of CCHP systems with different configurations.

[0095] Specifically, economic analysis software such as Aspen Process Economic Analyser (APEA V12) can be used to calculate economic indicators such as the Levelized Cost of Electricity (LCOE) and Payback Period (PBP) of the trigeneration system to conduct an economic evaluation of the trigeneration system.

[0096] Specifically, LCOE can be calculated by dividing the Total Annual Cost (TAC) by the sum of annual electricity, heating, and cooling outputs. Among them, TAC includes Annualized Capital Expenditure (ACAPEX), Fixed Operating Expenditure (FOPEX), and Variable Operating Expenditure (VOPEX). ACAPEX is the total capital expenditure (CAPEX) multiplied by the Capital Recovery Factor (CRF), and the calculation of CRF takes into account factors such as the economic life of the equipment and the interest rate. FOPEX is the fixed operating expenditure, which is calculated by multiplying the total capital expenditure by a fixed ratio. VOPEX is the variable operating expenditure, including fuel costs and electricity consumption costs. PBP can be calculated by dividing the total capital expenditure by the difference between the total sales revenue and the operating cost. The total sales revenue includes heating, cooling, and electricity revenues.

[0097] Specifically, the calculation formula of LCOE is as follows:

[0098]

[0099] Among them, LCOE represents the total cost of producing unit energy (such as per kilowatt-hour) and is used to measure the economy of energy production. The lower the LCOE, the lower the production cost of the energy and the better the economy.

[0100] TAC represents the total annual cost, which is all the costs generated by the system every year, including capital expenditure, operating expenditure, maintenance costs, fuel costs, etc.

[0101] E cchp-output represents the energy output of the trigeneration system.

[0102] The calculation formula for TAC is as follows:

[0103] TAC = ACAPEX + FOPEX + VOPEX

[0104] Among them, TAC represents the total annual cost, which is used to measure the total cost generated by the entire system every year, including capital expenditure, fixed operating expenditure, and variable operating expenditure.

[0105] ACAPEX represents the annual capital expenditure, that is, the capital investment expenditure of the system, usually including the purchase or construction costs of equipment, facilities, and other long-term assets.

[0106] FOPEX represents the fixed operating expenditure, that is, the fixed operating cost every year, including personnel salaries, management expenses, and other costs that do not change with the production volume.

[0107] VOPEX represents the variable operating expenditure, that is, the costs directly related to the production volume or operating scale, such as energy consumption, raw material costs, etc.

[0108] The calculation formula for CRF is as follows:

[0109]

[0110] Among them, CRF represents the capital recovery factor, which is used to calculate the coefficient of annualized capital expenditure, taking into account the interest rate i and the economic life n of the equipment, and helps to determine how to allocate the capital expenditure.

[0111] The calculation formula for FOPEX is as follows:

[0112] FOPEX = 0.074 × CAPEX

[0113] Among them, this formula represents the proportion (7.4%) of the fixed operating expenditure in the annual capital expenditure (CAPEX). CAPEX represents the total relevant capital expenditure of the charging process, discharging process, ORC unit, and ARS unit.

[0114] The calculation formula for VOPEX is as follows:

[0115] VOPEX = Fuel cost + Electricity consumption cost

[0116] The calculation formula for PBP is as follows:

[0117]

[0118] Among them, Sales Revenue represents the sales revenue, that is, the revenue obtained from the sales of different energies (heating, cooling, electricity).

[0119] The calculation formula of Sales Revenue is as follows:

[0120] Sales Revenue = Sale Heating + Sale Cooling + Sale Electricity

[0121] Among them, Sale Heating represents the sales revenue from heating services, Sale Cooling represents the sales revenue from cooling services, and Sale Electricity represents the revenue from electricity sales.

[0122] Step 104: Based on the performance index set and economic index set, determine the target configuration of the trigeneration system from the system configurations corresponding to each system simulation model.

[0123] In the embodiments of the present application, after obtaining the performance indexes and economic indexes of the system simulation models with different configurations, the target configuration of the trigeneration system that meets the requirements can be determined from the system configurations corresponding to each system simulation model.

[0124] In a possible implementation manner, the performance indexes of the system simulation models are used to compare the performances of the trigeneration systems with different configurations, and the target configuration that meets the preset performance conditions is determined.

[0125] Specifically, referring to Figure 7 as shown in the comparison schematic diagram of the system simulation models with different configurations provided by the embodiments of the present application, this figure reflects the comparison of the CCHP systems with four configurations of CCHP-1, CCHP-2, CCHP-3, and CCHP-4 in terms of RTE, COP, and cooling capacity. According to this, it can be known that the overall performance of the double-effect ARS is better than that of the single-effect ARS, and the performance of LiBr-H2O is better than that of NH3-H2O. That is, the CCHP-3 system with a double-effect ARS unit and LiBr-H2O as the working medium has the relatively highest performance indexes among all configurations, and can achieve an electric energy output of 206 MW, a heating capacity of 7.26 MW. Especially in realizing large-cooling-capacity refrigeration, it can generate a refrigerating capacity of 27.28 MW, and the COP is 1.36.

[0126] In a possible implementation manner, the economic indexes of the system simulation models are used to compare the economics of the trigeneration systems with different configurations, and the target configuration that meets the preset performance conditions is determined.

[0127] Specifically, assume that the service life of CCHP1-4 systems with different configurations is 20 years, and the systems operate continuously for 9 hours per day. By analyzing the economic indicators of the system simulation models of CCHP systems with different configurations, such as calculating the LCOE and PBP of each CCHP system, the costs of CCHP systems with different configurations and different units of the CCHP system can be obtained. Refer to Figure 8 The following is a cost-income table of a CCHP system with different configurations provided by an embodiment of the present application. Among them, for combined heat and power systems with different configurations (CCHP-1, CCHP-2, CCHP-3, and CCHP-4), various costs and incomes of different systems are listed, including capital cost during the charging process, capital cost during the charging process, capital cost during the ORC process, capital cost during the ARS process, capital expenditure, annualized capital expenditure, fixed operating expenditure, fuel cost, refrigeration income, sales income, payback period, and levelized cost of electricity. According to this Figure 8 It can be seen that the levelized cost of electricity (LCOE) of the CCHP-3 system is 31.01 $ / MWh, which is the lowest among all systems. The payback period of the CCHP-3 system is 12.9 years, and the annual sales income is 40.14 M$. The CAES charging cost accounts for the largest proportion among all systems, while the ARS discharging cost is the lowest. The CCHP-3 system has the best economic benefits due to its maximum refrigeration capacity and is suitable for large-scale commercial applications. And although the ARS cost only accounts for about 1% of the system cost, it can bring significant sales income. Through the comparison of the above economic indicators, it provides an important basis for the development of the ARS value chain and the commercial deployment of CAES, and proposes a new operation strategy: specifically using the waste heat during the emission process for ARS, so as to further explore dynamic modeling and simulation, multi-objective optimization, and environmental impact assessment to promote the commercialization process of the CCHP system.

[0128] Refer to Figure 9 As shown in the figure, based on the same inventive concept, an embodiment of the present application further provides a target configuration determination device 90 for a combined heat and power system, and the device includes:

[0129] A construction unit 901, configured to respectively construct corresponding system simulation models based on multiple preset configuration parameters of the refrigeration unit; the preset configuration parameters include the effect level and working medium of the refrigeration unit;

[0130] An evaluation unit 902, configured to perform performance and economic calculations on multiple system simulation models based on a preset configuration analysis strategy, and obtain a performance index set and an economic index set of each system simulation model;

[0131] A determination unit 903, configured to determine the target configuration of the combined heat and power system from the system configurations corresponding to each system simulation model based on the performance index set and the economic index set.

[0132] Optionally, the evaluation unit 902 is specifically configured to:

[0133] Calculate performance indicators for each system simulation model based on a preset performance analysis strategy to obtain a set of performance indicators for each system simulation model; the set of performance indicators characterizes the overall energy utilization rate of the cogeneration system.

[0134] Calculate economic indicators for each system simulation model based on a preset economic analysis strategy to obtain a set of economic indicators for each system simulation model; the set of economic indicators characterizes the economic feasibility of the corresponding cogeneration system.

[0135] Optionally, the set of performance indicators includes the round-trip efficiency of the energy storage unit, the refrigeration efficiency of the refrigeration unit, and the overall round-trip efficiency of the cogeneration system.

[0136] Optionally, the set of economic indicators includes the levelized cost of electricity and the payback period of the cogeneration system.

[0137] Optionally, the effect levels of the refrigeration unit include a single-effect level and a double-effect level. The double-effect level indicates that the corresponding refrigeration unit has two solution heat exchangers, and the two solution exchangers are used for internal heat exchange between the high-temperature condenser and the low-pressure desorber; the single-effect level indicates that the refrigerant of the corresponding refrigeration unit is generated in the desorber.

[0138] Optionally, the energy storage unit is configured to convert electrical energy into the internal energy of high-pressure air and store the high-pressure air during the low electricity consumption period; release the internal energy of the air to obtain electrical energy during the high electricity consumption period.

[0139] The circulation unit is configured to obtain the remaining heat energy of the energy storage unit and convert the remaining heat energy into electrical energy.

[0140] The refrigeration unit is configured to obtain the heat energy of the flue gas of the circulation unit and convert the heat energy into cold energy.

[0141] For the convenience of description, the above parts are divided into respective unit modules (or modules) according to functions and described separately. Of course, when implementing this application, the functions of the respective units (or modules) can be implemented in one or more software or hardware. Those skilled in the art can understand that various aspects of this application can be implemented as a system, a method, or a program product. Therefore, various aspects of this application can be specifically implemented in the following forms, namely: a complete hardware implementation, a complete software implementation (including firmware, microcode, etc.), or an implementation combining hardware and software aspects, which can be collectively referred to as "circuit", "module", or "system" here.

[0142] This device can be used to execute the methods shown in the various embodiments of this application. Therefore, for the functions that can be realized by the respective functional modules of this device, reference can be made to the description of the foregoing embodiments, and details will not be repeated.

[0143] Please refer to Figure 10 As shown, based on the same inventive concept, an embodiment of the present application further provides a computer device 100. In one embodiment, the computer device may be the cogeneration system in the embodiment of the present application, or may be a target configuration determination device for the cogeneration system. The computer device is as Figure 10 shown and includes a memory 1001, a communication module 1003, and one or more processors 1002.

[0144] The memory 1001 is used to store the computer program executed by the processor 1002. The memory 1001 may mainly include a program storage area and a data storage area. Among them, the program storage area may store an operating system and programs required to run the instant messaging function, etc.; the data storage area may store various instant messaging information and operation instruction sets, etc.

[0145] The memory 1001 may be a volatile memory, such as a random-access memory (RAM); the memory 1001 may also be a non-volatile memory, such as a read-only memory, a flash memory, a hard disk drive (HDD), or a solid-state drive (SSD); or the memory 1001 is any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto. The memory 1001 may be a combination of the above memories.

[0146] The processor 1002 may include one or more central processing units (CPUs) or be a digital processing unit, etc. The processor 1002 is used to implement the target configuration determination method of the above cogeneration system when calling the computer program stored in the memory 1001.

[0147] The communication module 1003 is used to communicate with terminal devices such as the cogeneration system or other servers.

[0148] In the embodiment of the present application, the specific connection medium between the above memory 1001, communication module 1003, and processor 1002 is not limited. In the embodiment of the present application Figure 10 it is connected between the memory 1001 and the processor 1002 through a bus 1004. The bus 1004 is in Figure 10is described by a thick line. The connection manners between other components are only for illustrative purposes and are not restrictive. The bus 1004 can be divided into an address bus, a data bus, a control bus, etc. For the sake of description, Figure 10 it is only described by a thick line in the figure, but it does not describe that there is only one bus or one type of bus.

[0149] The computer storage medium is stored in the memory 1001. The computer executable instructions are stored in the computer storage medium. The computer executable instructions are used to implement the target configuration determination method of the cogeneration system in the embodiments of the present application. The processor 1002 is used to execute the target configuration determination method of the cogeneration system in the above embodiments.

[0150] Based on the same inventive concept, an embodiment of the present application further provides a storage medium storing a computer program, which when running on a computer, causes the computer to execute the steps in the target configuration determination method of the cogeneration system according to various exemplary embodiments described in this specification.

[0151] In some possible implementation manners, each aspect of the target configuration determination method of the cogeneration system provided by the present application can also be implemented in the form of a computer program product, which includes a computer program. When the program product runs on a computer device, the computer program is used to cause the computer device to execute the steps in the target configuration determination method of the cogeneration system according to various exemplary embodiments described in this specification. For example, the computer device can execute the steps of each embodiment.

[0152] The program product can adopt any combination of one or more readable media. The readable media can be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples (non-exhaustive list) of the readable storage medium include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0153] The program product of the embodiment of the present application can adopt a portable compact disc read-only memory (CD-ROM) and include a computer program, and can run on a computer device. However, the program product of the present application is not limited thereto. In the present application, the readable storage medium can be any tangible medium that contains or stores a program, and the computer program included therein can be used by or in combination with a command execution system, apparatus, or device.

[0154] A readable signal medium can include a data signal propagated in a baseband or as part of a carrier wave, which carries a readable computer program. Such a propagated data signal can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The readable signal medium can also be any readable medium other than a readable storage medium, which can send, propagate, or transmit a program for use by or in conjunction with a command execution system, apparatus, or device.

[0155] The computer program contained on the readable medium can be transmitted by any appropriate medium, including but not limited to wireless, wired, optical fiber cable, RF, etc., or any suitable combination of the above.

[0156] The computer program for performing the operations of the present application can be written in any combination of one or more programming languages, including object-oriented programming languages such as Java, C++, etc., and also including conventional procedural programming languages such as the "C" language or similar programming languages.

[0157] It should be noted that although several units or subunits of the apparatus are mentioned in the above detailed description, this division is merely exemplary and not mandatory. In fact, according to the embodiments of the present application, the features and functions of the two or more units described above can be embodied in one unit. Conversely, the features and functions of one unit described above can be further divided and embodied by multiple units.

[0158] In addition, although the operations of the method of the present application are described in a specific order in the drawings, this does not require or imply that these operations must be performed in that specific order, or that all the operations shown must be performed to achieve the desired result. Additionally or alternatively, some steps can be omitted, multiple steps can be combined into one step for execution, and / or one step can be decomposed into multiple steps for execution.

[0159] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented 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.

[0160] Although the preferred embodiments of the present application have been described, those skilled in the art can make additional changes and modifications once they learn the basic creative concept. Therefore, the appended claims are intended to be construed to include the preferred embodiments as well as all changes and modifications that fall within the scope of the present application.

[0161] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalent technologies, the present application is also intended to include these modifications and variations.

Claims

1. A method for determining target configuration of a trigeneration system, characterized in that: The trigeneration system includes an energy storage unit, a circulation unit and a refrigeration unit, and the method includes: Based on a plurality of preset configuration parameters of the refrigeration unit, respectively constructing corresponding system simulation models; the preset configuration parameters include the effect level and working medium of the refrigeration unit; Based on the preset configuration analysis strategy, the performance and economic calculations are performed on multiple system simulation models to obtain the performance index set and economic index set of each system simulation model; Based on the performance indicator set and the economic indicator set, a target configuration of the trigeneration system is determined from system configurations corresponding to each system simulation model.

2. The method according to claim 1, characterized in that The method of performing performance and economic calculations on multiple system simulation models based on a preset configuration analysis strategy to obtain a performance indicator set and an economic indicator set of each system simulation model includes: Based on a preset performance analysis strategy, a performance index is calculated for each system simulation model to obtain a performance index set for each system simulation model; the performance index set represents the overall energy utilization rate of the trigeneration system; Based on a preset economic analysis strategy, economic indicators of each system simulation model are calculated to obtain an economic indicator set of each system simulation model; the economic indicator set represents the economic feasibility of the corresponding trigeneration system.

3. The method according to claim 1, characterized in that The performance indicator set includes the round-trip efficiency of the energy storage unit, the refrigeration efficiency of the refrigeration unit and the overall round-trip efficiency of the trigeneration system.

4. The method according to claim 1, characterized in that The economic indicator set includes the levelized cost of electricity and the investment payback period of the trigeneration system.

5. The method according to claim 1, characterized in that The effect level of the refrigeration unit includes a single-effect level and a double-effect level. The double-effect level indicates that the corresponding refrigeration unit has two solution heat exchangers, and the two solution exchangers are used for internal heat exchange between the high-temperature condenser and the low-pressure desorber; the single-effect level indicates that the refrigerant of the corresponding refrigeration unit is generated in the desorber.

6. The method according to claim 1, characterized in that The energy storage unit is used to convert electrical energy into air internal energy of high-pressure air during the low-power consumption phase and store the high-pressure air; During the peak period of electricity consumption, the internal energy of the air is released to obtain electrical energy; The circulation unit is used to obtain the residual heat energy of the energy storage unit and convert the residual heat energy into electrical energy; The refrigeration unit is used to obtain the heat energy of the flue gas of the circulation unit and convert the heat energy into cold energy.

7. A device for determining target configuration of a trigeneration system, characterized in that: The trigeneration system includes an energy storage unit, a circulation unit and a refrigeration unit, and the device includes: A construction unit, configured to construct corresponding system simulation models based on a plurality of preset configuration parameters of the refrigeration unit; the preset configuration parameters include an effect level and a working medium of the refrigeration unit; An evaluation unit, used to perform performance and economic calculations on multiple system simulation models based on a preset configuration analysis strategy, and obtain a performance indicator set and an economic indicator set of each system simulation model; A determination unit is used to determine the target configuration of the trigeneration system from the system configurations corresponding to each system simulation model based on the performance indicator set and the economic indicator set.

8. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer storage medium having computer program instructions stored thereon, characterized in that: When the computer program instructions are executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product comprising computer program instructions, characterized in that When the computer program instructions are executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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