Performance optimization method of heat integration heat pump power storage system, medium and program product

Abstract

The invention discloses a performance optimization method of a heat integration heat pump power storage system, a medium and a program product, and the performance optimization method comprises the steps: generating a performance optimization model based on finite time thermodynamics based on a preset optimization path; based on different optimization criteria, generating corresponding optimization target models; and solving the performance optimization model and different optimization target models to obtain performance optimization parameters under different optimization criteria. According to the invention, thermodynamic optimization in finite time can be realized, the heat loss of operation is reduced, and the energy efficiency is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of energy storage system optimization, and particularly relates to a performance optimization method, medium and program product for a heat-integrated heat pump electricity storage system. Background Art

[0002] Currently, the proportion of renewable energy power generation continues to increase. However, due to its intermittent and volatile characteristics, the problem of power consumption has become increasingly prominent. At the same time, the mismatch between power sources and loads also poses higher requirements for the peak shaving and frequency modulation of the power grid. Energy storage technologies, especially electricity storage technologies, have become the key to solving these problems.

[0003] Currently, globally, pumped-storage is the most widely used electricity storage technology, with its cumulative installed capacity accounting for approximately 86%. Pumped-storage has the advantages of high efficiency, long life, large capacity, and low cost per kilowatt-hour, but at the same time faces challenges such as long construction periods, high investment costs, large environmental impacts, and strict requirements for geographical and geological conditions. The cumulative installed capacity of lithium-ion batteries accounts for approximately 11%, which is known for its high electricity storage efficiency, short construction period, high energy density, and fast response speed, but has problems such as high cost per kilowatt-hour, short life, and safety hazards. Other new energy storage technologies, including sodium-sulfur batteries, flow batteries, compressed air energy storage, liquid air energy storage, and molten salt heat storage, are currently still in the research and development and demonstration stages, have not achieved large-scale commercial applications, and cannot meet the requirements of high density, low cost, and long-term energy storage at the same time.

[0004] As an emerging energy storage technology, heat pump electricity storage takes the "electricity-heat-electricity" conversion as the core and has the advantages of no geographical restrictions, safety and reliability, low cost, and long-term energy storage by means of the intermediate process of heat storage. The efficiency of the heat pump electricity storage system is jointly determined by the heat pump cycle efficiency, heat storage efficiency, and power generation efficiency, among which the low-temperature heat source temperature in the heat pump cycle has a significant impact on the system efficiency. In the existing technology, heat is often only extracted from the environment, and the expansion reaches the ambient temperature at the power generation end, and its theoretical system efficiency may be lower than that of pumped-storage. Therefore, the key to improving the efficiency of heat pump electricity storage lies in integrating low-temperature heat sources and reducing irreversible heat losses. Under the constraints of limited time and limited size, how to effectively optimize the thermodynamic process of the heat-integrated heat pump electricity storage system and significantly improve the comprehensive energy utilization efficiency of the entire system is an important technical problem that urgently needs to be broken through in this field. Summary of the Invention

[0005] In view of the above problems, the present invention proposes a performance optimization method, medium and program product for a heat-integrated heat pump electricity storage system.

[0006] In order to achieve the above technical objectives and reach the above technical effects, the present invention is realized through the following technical solutions:

[0007] In a first aspect, the present invention provides a method for optimizing the performance of a thermally integrated heat pump electricity storage system, including:

[0008] Generating a performance optimization model based on finite-time thermodynamics according to a preset optimization path;

[0009] Generating corresponding optimization target models based on different optimization criteria;

[0010] Solving the performance optimization model and different optimization target models to obtain performance optimization parameters under different optimization criteria.

[0011] In combination with the first aspect, optionally, the thermally integrated heat pump electricity storage system includes a high-temperature heat pump cycle, a heat storage cycle, and an organic Rankine cycle connected in sequence;

[0012] The high-temperature heat pump cycle includes a first evaporator, a compressor, a first condenser, and a throttle valve connected in sequence; the first evaporator is used to connect to a waste heat source;

[0013] The heat storage cycle includes a packed bed provided with a phase change material;

[0014] The organic Rankine cycle includes a second evaporator, an expander, a second condenser, and a working fluid pump connected in sequence; the expander is used for external power generation;

[0015] The first condenser and the second evaporator are respectively connected to the packed bed.

[0016] In combination with the first aspect, optionally, the charge-discharge path based on the preset optimization path of the thermally integrated heat pump electricity storage system is as follows:

[0017] During charging, the waste heat source transfers heat to the working fluid in the first evaporator, and the working fluid then flows through the compressor and is lifted to a high-temperature and high-pressure state. Then the working fluid flows into the first condenser and exchanges heat with pressurized water to store the high-temperature heat in the phase change material of the packed bed;

[0018] During discharging, the pressurized water extracts heat from the phase change material of the packed bed and transfers the high-temperature heat to the working fluid in the second evaporator. The working fluid flows into the expander, releases heat for external power generation, and the working fluid after heat release flows into the second condenser for further cooling, and then is pumped into the second evaporator by the working fluid pump to continue absorbing heat.

[0019] In combination with the first aspect, optionally, the mathematical expression of the performance optimization model is:

[0020] ;

[0021] ;

[0022] ;

[0023] Where, is the performance index of the high-temperature heat pump cycle; is the performance index of the organic Rankine cycle; The electrical efficiency of the heat integrated heat pump energy storage system;

[0024] 、 are the heating capacity of the first condenser and the input power of the compressor in the high-temperature heat pump cycle, 、 are respectively the condensing temperature of the first condenser and the evaporating temperature of the first evaporator in the high-temperature heat pump cycle; 、 、 The calculation formulas are:

[0025] ;

[0026] ;

[0027] ;

[0028] Where, is the heat transfer coefficient between the first condenser in the high-temperature heat pump cycle and the second evaporator in the organic Rankine cycle, is the heat transfer coefficient of the first evaporator in the high-temperature heat pump cycle, is the heat exchange area between the first condenser in the high-temperature heat pump cycle and the second evaporator in the organic Rankine cycle, is the heat exchange area of the first evaporator in the high-temperature heat pump cycle, 、 are the heat transfer time during the charge and discharge cycle respectively, and the ratio of the two is defined as , 、 are the heat storage temperature and waste heat source temperature respectively, and the parameters Defined as , is the evaporation temperature of the second evaporator in the organic Rankine cycle;

[0029] 、 are the cooling capacity of the second evaporator and the output power of the expander in the organic Rankine cycle, 、 、 are the ambient temperature, the condensation temperature and the evaporation temperature in the organic Rankine cycle, respectively. Defined as .

[0030] In combination with the first aspect, optionally, when the optimization criterion is to maximize the output power of the heat-integrated heat pump energy storage system during the discharge cycle, the mathematical expression of the optimization objective model is:

[0031] ;

[0032] In the formula, is the maximum output power of the heat-integrated heat pump energy storage system, is the heat transfer coefficient of the second condenser in the organic Rankine cycle,

[0033] In combination with the first aspect, optionally, the solution method for the performance optimization parameters includes:

[0034] Solve with respect to and to be 0, that is , , and obtain , ;

[0035] Substitute the solved , into the performance optimization model to obtain the performance index of the high-temperature heat pump cycle and the performance index of the organic Rankine cycle under the optimization criterion of maximum output power, , . In the formula, is , is ;

[0036] Based on the performance index of the high-temperature heat pump cycle and the performance index of the organic Rankine cycle, calculate the electro-thermal efficiency , .

[0037] In combination with the first aspect, optionally, when the optimization criterion is to maximize the effective power of the heat-integrated heat pump energy storage system, the effective power optimization is defined as the product of power and efficiency, representing the balance of output power and electro-thermal efficiency; the mathematical expression of the optimization objective model is:

[0038] ;

[0039] In the formula, is the maximum effective power of the heat-integrated heat pump energy storage system.

[0040] ​Combined with the first aspect, optionally, the solution method of the performance optimization parameters includes:

[0041] Solve Regarding And The partial derivatives with respect to are 0, that is , , to obtain , ;

[0042] Substitute the solved , into the performance optimization model to obtain the performance index of the high-temperature heat pump cycle and the performance index of the organic Rankine cycle, , , where in the formula, is , is ;

[0043] Based on the performance index of the high-temperature heat pump cycle and the performance index of the organic Rankine cycle, calculate the electrical efficiency , .

[0044] Combined with the first aspect, optionally, when the optimization criterion is the best compromise between the energy benefit and loss of the heat integrated heat pump energy storage system, the mathematical expression of the optimization target model is:

[0045] ;

[0046] Where in the formula, is the output power after the best compromise optimization.

[0047] Combined with the first aspect, optionally, the solution method of the performance optimization parameters includes:

[0048] Solve Regarding And The partial derivatives with respect to are 0, that is , , to obtain , ;

[0049] Substitute the solved , into the performance optimization model to obtain the performance index of the high-temperature heat pump cycle and the performance index , , , where is , is ;

[0050] Based on the performance index of the high-temperature heat pump cycle and the performance index of the organic Rankine cycle ,

[0051] Second, the present invention provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, it implements the performance optimization method of the heat-integrated heat pump energy storage system described in any item of the first aspect.

[0052] Third, the present invention provides a computer program product, including a computer program / instructions, and when the computer program / instructions are executed by a processor, it implements the performance optimization method of the heat-integrated heat pump energy storage system described in any item of the first aspect.

[0053] Compared with the prior art, the beneficial effects of the present invention are:

[0054] The present invention provides a performance optimization method, medium and program product for a heat-integrated heat pump energy storage system. By constructing a performance optimization model based on finite-time thermodynamics and performing multi-dimensional thermodynamic optimization through various optimization criteria, the operating heat loss is reduced and the energy efficiency of the system is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the embodiments. Obviously, the following-described drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts, where:

[0056] Figure 1 is a schematic flowchart of the performance optimization method of the heat-integrated heat pump energy storage system according to an embodiment of the present invention;

[0057] Figure 2 is a schematic diagram of the principle of the performance optimization method of the heat-integrated heat pump energy storage system according to an embodiment of the present invention;

[0058] Figure 3 is an energy flow diagram of the performance optimization method of the heat-integrated heat pump energy storage system according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0059] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Apparently, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0060] In addition, if there are descriptions involving "first", "second", etc. in the embodiments of the present invention, the descriptions of "first", "second", etc. are only for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include at least one such feature. In addition, the technical solutions between various embodiments can be combined with each other, but it must be based on the fact that those of ordinary skill in the art can implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be considered that such a combination of technical solutions does not exist and is not within the protection scope required by the present invention.

[0061] Embodiment 1

[0062] The embodiments of the present invention provide a method for optimizing the performance of a thermally integrated heat pump energy storage system, as Figure 1 shown, including the following steps:

[0063] (1) Generate a performance optimization model based on finite-time thermodynamics based on a pre-set optimization path;

[0064] (2) Generate corresponding optimization target models based on different optimization criteria;

[0065] (3) Solve the performance optimization model and different optimization target models to obtain performance optimization parameters under different optimization criteria.

[0066] The embodiments of the present invention provide a method for optimizing the performance of a thermally integrated heat pump energy storage system. By constructing a performance optimization model based on finite-time thermodynamics and performing multi-dimensional thermodynamic optimization through various optimization criteria, the heat loss during operation is reduced and the energy efficiency of the system is improved.

[0067] In a specific implementation manner of the embodiments of the present invention, the thermally integrated heat pump energy storage system includes a high-temperature heat pump cycle, a heat storage cycle, and an organic Rankine cycle connected in sequence;

[0068] The high-temperature heat pump cycle includes a first evaporator, a compressor, a first condenser, and a throttle valve connected in sequence; the first evaporator is used to be connected to a waste heat source;

[0069] The heat storage cycle includes a packed bed, and a phase change material is provided in the packed bed;

[0070] The organic Rankine cycle includes a second evaporator, an expander, a second condenser, and a working fluid pump that are connected in sequence; the expander is used for external power generation;

[0071] The first condenser and the second evaporator are respectively connected to the packed bed.

[0072] In a specific implementation manner of the embodiment of the present invention, the charge-discharge path based on the optimization path of the pre-set heat-integrated heat pump energy storage system is as follows:

[0073] During charging, the waste heat source transfers heat to the working fluid in the first evaporator, and the working fluid then flows through the compressor and is boosted to a high temperature and high pressure state. Then, the working fluid flows into the first condenser and exchanges heat with the pressurized water, storing the high-temperature heat in the phase change material of the packed bed;

[0074] During discharging, the pressurized water extracts heat from the phase change material of the packed bed and transfers the high-temperature heat to the working fluid in the second evaporator. The working fluid flows into the expander, releases heat for external power generation, and the working fluid after heat release flows into the second condenser for further cooling, and then is pumped into the second evaporator by the working fluid pump to continue absorbing heat.

[0075] In a specific implementation manner of the embodiment of the present invention, the mathematical expression of the performance optimization model is:

[0076] ;

[0077] ;

[0078] ;

[0079] In the formula, is the performance index of the high-temperature heat pump cycle; is the performance index of the organic Rankine cycle; is the electrical efficiency of the heat-integrated heat pump energy storage system;

[0080] and are respectively the heat quantity generated by the first condenser and the input power of the compressor in the high-temperature heat pump cycle, and are respectively the condensation temperature of the first condenser and the evaporation temperature of the first evaporator in the high-temperature heat pump cycle; and and The calculation formulas of are respectively:

[0081] ;

[0082] ;

[0083] ;

[0084] Wherein, is the heat transfer coefficient between the first condenser in the high-temperature heat pump cycle and the second evaporator in the organic Rankine cycle, is the heat transfer coefficient of the first evaporator in the high-temperature heat pump cycle, is the heat exchange area between the first condenser in the high-temperature heat pump cycle and the second evaporator in the organic Rankine cycle, is the heat exchange area of the first evaporator in the high-temperature heat pump cycle, , are the heat transfer times during the charge-discharge cycle respectively, and the ratio of the two is defined as , , are the heat storage temperature and the waste heat source temperature respectively, and the parameter is defined as , is the evaporation temperature of the second evaporator in the organic Rankine cycle.

[0085] In a specific embodiment of the embodiment of the present invention, when the optimization criterion is that the output power of the heat-integrated heat pump energy storage system is the largest during the discharge cycle, the mathematical expression of the optimization target model is:

[0086] ;

[0087] Wherein, is the maximum output power of the heat-integrated heat pump energy storage system, is the heat transfer coefficient of the second condenser in the organic Rankine cycle, is the heat exchange area of the second condenser in the organic Rankine cycle.

[0088] In a specific embodiment of the embodiment of the present invention, the solution method of the performance optimization parameters includes:

[0089] Solve with respect to and such that the partial derivatives are 0, that is , , and obtain , ;

[0090] Substitute the solved , into the performance optimization model to obtain the performance index ] of the high-temperature heat pump cycle and the performance index of the organic Rankine cycle under the optimization criterion of the maximum output power, , , wherein,​ For , is ;

[0091] The performance index based on the high-temperature heat pump cycle and the performance index of the organic Rankine cycle are used to calculate the electricity-to-electricity efficiency , . The electricity-to-electricity efficiency refers to the efficiency of converting electricity to electricity.

[0092] In a specific embodiment of the embodiment of the present invention, when the optimization criterion is to maximize the effective power of the heat-integrated heat pump energy storage system, the effective power optimization is defined as the product of power and efficiency, representing the balance of output power and electricity-to-electricity efficiency; the mathematical expression of the optimization target model is:

[0093] ;

[0094] In the formula, is the maximum effective power of the heat-integrated heat pump energy storage system.

[0095] In a specific embodiment of the embodiment of the present invention, the solution method of the performance optimization parameters includes:

[0096] Solve with respect to and such that the partial derivatives are 0, that is , , to obtain , ;

[0097] Substitute the solved , into the performance optimization model to obtain the performance index of the high-temperature heat pump cycle and the performance index of the organic Rankine cycle under the optimization criterion of maximum effective power, , , in the formula, is , is ;

[0098] Based on the performance index of the high-temperature heat pump cycle and the performance index of the organic Rankine cycle, calculate the electricity-to-electricity efficiency , .

[0099] In a specific implementation manner of the embodiment of the present invention, when the optimization criterion is the best compromise between the energy efficiency and loss of the heat-integrated heat pump energy storage system, the mathematical expression of the optimization objective model is:

[0100] ;

[0101] In the formula, is the output power after optimal compromise optimization.

[0102] In a specific implementation manner of the embodiment of the present invention, the solution method of the performance optimization parameters includes:

[0103] Solve with respect to and such that the partial derivatives are 0, that is, , , to obtain , ; 0]

[0104] Substitute the solved , into the performance optimization model to obtain the performance index of the high-temperature heat pump cycle and the performance index of the organic Rankine cycle under the maximum optimization criterion of the best compromise, , , in the formula, is , is ;

[0105] Based on the performance index of the high-temperature heat pump cycle and the performance index of the organic Rankine cycle, calculate the power-to-power efficiency , .

[0106] The following details the performance optimization method of the heat-integrated heat pump energy storage system in the embodiment of the present invention in combination with a specific implementation manner.

[0107] (1) Construct a heat-integrated heat pump energy storage system according to the energy form and application scenario;

[0108] The heat-integrated heat pump energy storage system specifically includes a waste heat source, power supply, high-temperature heat pump cycle, heat storage cycle, and organic Rankine cycle; where:

[0109] The waste heat source includes solar thermal, geothermal, and industrial waste heat (industrial waste gas, wastewater, etc.);

[0110] The power supply includes valley electricity, green electricity (wind power, photovoltaic power, hydropower, etc.);

[0111] The high-temperature heat pump cycle includes a first evaporator, a compressor, a first condenser, and a throttle valve, and each component is connected in sequence;

[0112] The heat storage cycle includes a packed bed in which a phase change material is provided;

[0113] The organic Rankine cycle includes a second evaporator, an expander, a second condenser and a working fluid pump, and each component is connected in sequence;

[0114] The waste heat source is connected to the first evaporator in the high-temperature heat pump cycle as a low-grade heat source for the evaporator; the power supply (i.e. Figure 2 The power grid of China is connected to the compressor in the high-temperature heat pump cycle to improve the quality of waste heat; the first condenser of the high-temperature heat pump cycle and the second evaporator of the organic Rankine cycle are respectively connected to the packed bed of the heat storage cycle; the expander in the organic Rankine cycle is externally connected to a generator for power generation.

[0115] (2) Clarify the input and output parameters of the heat integrated heat pump storage system, match the cold and hot source temperature zones and the heat storage temperature zones, and establish an optimization path;

[0116] The input parameters include the heat source temperature (i.e. the hot side inlet temperature of the first evaporator, i.e. Figure 2 T2), cold source temperature (cold side inlet temperature of the second condenser, i.e. Figure 2 T0), input power (compressor input power, i.e. Figure 2 Middle W in ), the output parameters include: the output power of the expander in the organic Rankine cycle (i.e. Figure 2 Middle W out ); The low-grade heat source temperature range is 60℃-90℃ (i.e. Figure 2 T2), the cold source temperature zone is 20℃-30℃ (i.e. Figure 2 T0), the heat storage temperature range is 110℃-130℃ (i.e. Figure 2 T1); Figure 3 As shown, during charging, the waste heat source transfers heat to the working fluid in the first evaporator, and the working fluid then flows through the compressor and is elevated to a high-temperature and high-pressure state. The working fluid then flows into the first condenser, exchanges heat with pressurized water, and stores the high-temperature heat in the phase change material of the packed bed; during discharging, the pressurized water takes heat from the phase change material of the packed bed and transfers the high-temperature heat to the working fluid in the second evaporator, and the working fluid flows into the expander, releasing heat to generate electricity externally. The working fluid after heat release flows into the second condenser to exchange heat with cooling water for further cooling, and is then pumped into the second evaporator through the working fluid pump to continue absorbing heat.

[0117] (3) Under the optimization path, a performance optimization model based on finite-time thermodynamics is established;

[0118] The efficiency of the heat-integrated heat pump energy storage system is jointly determined by the heat pump cycle efficiency, the heat storage efficiency, and the power generation efficiency. All optimization parameters include the coefficient of performance (COP) of the high-temperature heat pump cycle, the coefficient of performance of the organic Rankine cycle and the electrical efficiency of the system ;

[0119] The calculation formula for the coefficient of performance (COP) of the high-temperature heat pump cycle is as follows:

[0120] (1)

[0121] In the formula, and are respectively the heating capacity of the first condenser and the input power of the compressor in the high-temperature heat pump cycle, and are respectively the condensation temperature of the first condenser and the evaporation temperature of the first evaporator in the high-temperature heat pump cycle;

[0122] and and The calculation formulas for are as follows:

[0123] (2)

[0124] (3)

[0125] (4)

[0126] In the formula, is the heat transfer coefficient between the first condenser in the high-temperature heat pump cycle and the second evaporator in the organic Rankine cycle, is the heat transfer coefficient of the first evaporator in the high-temperature heat pump cycle, is the heat transfer area between the first condenser in the high-temperature heat pump cycle and the second evaporator in the organic Rankine cycle, is the heat transfer area of the first evaporator in the high-temperature heat pump cycle, and are respectively the heat transfer times during the charge-discharge cycle, and the ratio of the two is defined as , and are respectively the heat storage temperature and the waste heat source temperature, and the parameter is defined as , represents the evaporation temperature of the second evaporator in the organic Rankine cycle;

[0127] The coefficient of performance of the organic Rankine cycle The calculation formula is as follows:

[0128] (5)

[0129] In the formula, and are respectively the refrigerating capacity of the second evaporator and the output power of the expander in the organic Rankine cycle, and and are respectively the ambient temperature, the condensation temperature and the evaporation temperature in the organic Rankine cycle, is defined as ;

[0130] The electrical efficiency of the thermally integrated heat pump energy storage system The calculation formula is as follows:

[0131] (6)

[0132] (4) According to the requirements of power or efficiency, combined with different optimization criteria, solve the optimization model of finite-time thermodynamics to explore the optimal performance configuration of the system at different time scales.

[0133] The optimization criteria include maximum power optimization, effective power optimization and unified trade-off optimization (i.e., the best compromise optimization between energy benefit and loss):

[0134] The maximum power optimization is only for the discharge cycle. Based on finite-time thermodynamics, the power output of the organic Rankine cycle is as follows:

[0135] (7)

[0136] In the formula is the heat transfer coefficient of the condenser in the ORC, is the heat transfer area of the condenser in the ORC;

[0137] By solving with respect to and such that the partial derivatives are 0, i.e., , , we obtain , .

[0138] Substitute the solved , into formulas (1, 5 - 6) to obtain the performance index of the high-temperature heat pump cycle and the performance index of the organic Rankine cycle. The calculation results are as follows:

[0139] (8)

[0140] (9)

[0141] Therefore, the electro - electric efficiency The calculation formula is as follows:

[0142] (10)

[0143] In the formula, the parameter is , is ;

[0144] The defined effective power optimization is the product of power and efficiency, representing the balance of output power and electro - electric efficiency. Its calculation formula is as follows:

[0145] (11)

[0146] By solving the partial derivatives of with respect to and being 0, that is , , we get , .

[0147] Substitute the solved , into formula (1,5 - 6), and we can obtain the performance index of the high - temperature heat pump cycle under maximum power optimization and the performance index of the organic Rankine cycle. The calculation results are as follows:

[0148] (12)

[0149] (13)

[0150] Therefore, the electro - electric efficiency The calculation formula is as follows:

[0151] (14)

[0152] The defined unified trade - off ecological optimization is the combination of unified trade - off optimization ( ) and ecological optimization (E), representing the best compromise between energy benefits and losses. Its calculation formula is as follows:

[0153] (15)

[0154] By solving the partial derivatives of with respect to and being 0, that is , , obtain , .

[0155] Substitute the obtained, into formula (1,5 - 6), and the performance index of the high-temperature heat pump cycle under maximum power optimization and the performance index of the organic Rankine cycle can be obtained. The calculation results are as follows:

[0156] (16)

[0157] (17)

[0158] Therefore, the electro-thermal efficiency is calculated as follows:

[0159] (18).

[0160] Example 2

[0161] Based on the same inventive concept as in Example 1, an embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, it implements the performance optimization method of the thermal integrated heat pump electricity storage system described in any one of Example 1.

[0162] Example 3

[0163] Based on the same inventive concept as in Example 1, an embodiment of the present invention provides a computer program product, including computer program / instructions, and when the computer program / instructions are executed by a processor, it implements the performance optimization method of the thermal integrated heat pump electricity storage system described in any one of Example 1.

[0164] Those skilled in the art should understand that the embodiments of the present application can be provided as methods, systems, or computer program products. 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.

[0165] This application is described with reference to the flowcharts and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram can be implemented by computer program instructions, and the combination of flows and / or blocks in the flowchart and / or block diagram can also be implemented. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate a means for implementing the functions specified in one process Figure 1 one process or multiple processes and / or blocks Figure 1 or a means for implementing the functions specified in multiple blocks.

[0166] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including an instruction means, and the instruction means implements the functions specified in one process Figure 1 one process or multiple processes and / or blocks Figure 1 or the functions specified in multiple blocks.

[0167] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process. Thus, the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one process Figure 1 one process or multiple processes and / or blocks Figure 1 or the functions specified in multiple blocks.

[0168] The embodiments of the present invention have been described above in conjunction with the accompanying drawings. However, the present invention is not limited to the above specific embodiments. The above specific embodiments are merely illustrative and not restrictive. Under the inspiration of the present invention, those of ordinary skill in the art can also make many forms without departing from the spirit and scope of the present invention as defined by the claims. All of these are within the protection scope of the present invention.

[0169] The above shows and describes the basic principles, main features, and advantages of the present invention. Those skilled in the art of this industry should understand that the present invention is not limited by the above embodiments. The above embodiments and the descriptions in the specification only illustrate the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and all of these changes and improvements fall within the scope of the present invention claimed. The scope of protection of the present invention is defined by the appended claims and their equivalents.

Claims

1. A performance optimization method for a heat-integrated heat pump power storage system, characterized in that: Including: Generate a performance optimization model based on finite-time thermodynamics according to a preset optimization path; Generate corresponding optimization target models based on different optimization criteria; Solve the performance optimization model and different optimization target models to obtain performance optimization parameters under different optimization criteria.

2. The performance optimization method of a heat-integrated heat pump energy storage system according to claim 1, characterized in that: The heat-integrated heat pump electricity storage system includes a high-temperature heat pump cycle, a heat storage cycle, and an organic Rankine cycle connected in sequence; The high-temperature heat pump cycle includes a first evaporator, a compressor, a first condenser, and a throttle valve connected in sequence; the first evaporator is used to connect with a waste heat source; The heat storage cycle includes a packed bed provided with a phase change material; The organic Rankine cycle includes a second evaporator, an expander, a second condenser, and a working fluid pump connected in sequence; the expander is used for external power generation; The first condenser and the second evaporator are respectively connected to the packed bed.

3. A method for optimizing the performance of a heat-integrated heat pump energy storage system according to claim 2, characterized in that: The charge-discharge path based on the preset optimization path of the heat-integrated heat pump electricity storage system is as follows: During charging, the waste heat source transfers heat to the working fluid in the first evaporator, and the working fluid then flows through the compressor and is boosted to a high-temperature and high-pressure state. Then the working fluid flows into the first condenser, and through heat exchange with pressurized water, the high-temperature heat is stored in the phase change material of the packed bed; During discharging, the pressurized water extracts heat from the phase change material of the packed bed and transfers the high-temperature heat to the working fluid in the second evaporator. The working fluid flows into the expander, releases heat for external power generation, and the working fluid after heat release flows into the second condenser for further cooling, and then is pumped into the second evaporator by the working fluid pump to continue absorbing heat.

4. A performance optimization method for a heat-integrated heat pump energy storage system according to claim 2 or 3, characterized in that: The mathematical expression of the performance optimization model is: ； ； ； In the formula, is the performance index of the high-temperature heat pump cycle; is the performance index of the organic Rankine cycle; is the electrical efficiency of the heat-integrated heat pump energy storage system; , are the heating capacity of the first condenser and the input power of the compressor in the high-temperature heat pump cycle, , are the condensation temperature of the first condenser and the evaporation temperature of the first evaporator in the high-temperature heat pump cycle; , , The calculation formulas of are as follows: ； ； ； In the formula, is the heat transfer coefficient between the first condenser in the high-temperature heat pump cycle and the second evaporator in the organic Rankine cycle, is the heat transfer coefficient of the first evaporator in the high-temperature heat pump cycle, is the heat transfer area between the first condenser in the high-temperature heat pump cycle and the second evaporator in the organic Rankine cycle, is the heat transfer area of the first evaporator in the high-temperature heat pump cycle, 、 are the heat transfer times during the charge-discharge cycle respectively, and the ratio of the two is defined as , 、 are the heat storage temperature and the waste heat source temperature respectively, and the parameter is defined as , is the evaporation temperature of the second evaporator in the organic Rankine cycle; , are respectively the refrigerating capacity of the second evaporator and the output power of the expander in the organic Rankine cycle, , , are respectively the ambient temperature, the condensation temperature and the evaporation temperature in the organic Rankine cycle, is defined as .

5. A method for optimizing the performance of a heat-integrated heat pump energy storage system according to claim 4, characterized in that: When the optimization criterion is to maximize the output power of the heat-integrated heat pump electricity storage system during the discharge cycle, the mathematical expression of the optimization target model is: ； Where, is the maximum output power of the heat integrated heat pump storage system, is the heat transfer coefficient of the second condenser in the organic Rankine cycle, is the heat exchange area of the second condenser in the organic Rankine cycle.

6. The performance optimization method of a heat-integrated heat pump energy storage system according to claim 5, characterized in that: The solution method of the performance optimization parameters includes: Solution about and The partial derivative of is 0, that is , ,get , ; Substitute the obtained , into the performance optimization model to obtain the performance index of the high-temperature heat pump cycle under the maximum output power optimization criterion and the performance index of the organic Rankine cycle , , , where is , is ; Performance index based on high temperature heat pump cycle and the performance index of the organic Rankine cycle Calculate the electrical efficiency , .

7. A method for optimizing the performance of a heat-integrated heat pump energy storage system according to claim 4, characterized in that: When the optimization criterion is to maximize the effective power of the heat-integrated heat pump electricity storage system, the effective power optimization is defined as the product of power and efficiency, representing the balance of output power and electrical efficiency; the mathematical expression of the optimization target model is: ； In the formula, is the maximum effective power of the heat integrated heat pump energy storage system.

8. A performance optimization method for a heat-integrated heat pump energy storage system according to claim 7, characterized in that: The solution method of the performance optimization parameters includes: Solve Regarding And The partial derivatives are 0, that is , Get , ; Substitute the obtained , into the performance optimization model to obtain the performance index of the high-temperature heat pump cycle under the maximum effective power optimization criterion and the performance index of the organic Rankine cycle of the organic Rankine cycle , , , where is , is ; Performance Index Based on High-Temperature Heat Pump Cycle and the Performance Index of the Organic Rankine Cycle of the Organic Rankine Cycle The electrical efficiency is calculated , .

9. The performance optimization method of a heat-integrated heat pump energy storage system according to claim 4, characterized in that: When the optimization criterion is the best compromise between the energy benefit and loss of the heat-integrated heat pump electricity storage system, the mathematical expression of the optimization target model is: ； In the formula, is the output power after optimal compromise optimization.

10. A method for optimizing the performance of a heat-integrated heat pump energy storage system according to claim 9, characterized in that: The solution method of the performance optimization parameters includes: Solve with respect to and the partial derivatives are 0, that is , , obtaining , ; Substitute the solved , into the performance optimization model to obtain the performance index of the high-temperature heat pump cycle and the performance index of the organic Rankine cycle of the organic Rankine cycle , , , where is , is ; The performance index based on the high-temperature heat pump cycle and the performance index of the organic Rankine cycle of the organic Rankine cycle Calculate the electrical efficiency , .

11. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, it realizes the performance optimization method of the heat-integrated heat pump electricity storage system according to any one of claims 1 to 10.

12. A computer program product, comprising a computer program / instructions, characterized in that, When the computer program / instructions are executed by a processor, it realizes the performance optimization method of the heat-integrated heat pump electricity storage system according to any one of claims 1 to 10.

Images