Flywheel energy storage cooling system based on green data center

Abstract

The application discloses a flywheel energy storage cooling system based on a green data center, relates to the flywheel energy storage cooling technical field, and solves the technical problem that the prior art cannot infer heat detection according to the heat state of different heat scenes, specifically, an energy storage operation detection module is used for performing operation detection on a flywheel energy storage system, numerical values are set for corresponding matching stages according to the matching stage analysis of internal components of the flywheel energy storage system, the operation time period of the flywheel energy storage system is counted at each moment, and the operation time period is divided into an abnormal operation time period and a normal operation time period according to the statistical values; a heat scene analysis unit is used for performing heat scene analysis on the flywheel energy storage system in different operation time periods, and each type of operation time period is obtained according to the scene analysis; and a cooling layout analysis optimization module is used for performing analysis and optimization on the cooling layout of the flywheel energy storage system.

Description

Technical Field

[0001] The present invention relates to the technical field of flywheel energy storage cooling technology, and in particular to a flywheel energy storage cooling system based on a green data center. Background Art

[0002] The flywheel energy storage system is based on the principle of conservation of angular momentum. It mainly converts electrical energy into the mechanical energy of the flywheel to achieve electrical energy storage. During the charging process, the electrical energy drives the electric motor, and the electric motor drives the flywheel to accelerate its rotation. The electrical energy is converted into the kinetic energy of the flywheel and stored. During the discharge process, the flywheel drives the generator to operate, converting the kinetic energy of the flywheel into electrical energy and releasing it.

[0003] However, in the existing technology, the flywheel energy storage system cannot predict heat generation based on operating status analysis, and cannot effectively avoid abnormal operating conditions that reduce the cooling control efficiency of the flywheel energy storage system. At the same time, it cannot infer heat generation based on the heating status of different heating scenarios and cannot perform cooling control based on the functional differences brought about by different heating scenarios. In addition, it cannot perform targeted optimization based on cooling layout analysis, and cannot ensure the cooling efficiency of the flywheel energy storage.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the Invention

[0005] The purpose of the present invention is to solve the above-mentioned problems and to propose a flywheel energy storage cooling system based on a green data center.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A flywheel energy storage cooling system based on a green data center includes a flywheel energy storage system and an energy storage cooling control center, wherein the energy storage cooling control center is communicatively connected to an energy storage operation detection module, a cooling layout analysis and optimization module, and a heating scenario analysis unit;

[0008] The energy storage operation detection module performs operation detection on the flywheel energy storage system, sets the corresponding coordination stage value according to the coordination stage analysis of the internal components of the flywheel energy storage system, collects statistics on the operation period of the flywheel energy storage system at each moment, and divides the operation period into abnormal operation period and normal operation period according to the statistical values;

[0009] The heating scenario analysis unit performs heating scenario analysis on the flywheel energy storage system at different operating periods, and obtains various types of operating periods based on the scenario analysis;

[0010] The cooling layout analysis and optimization module is used to analyze and optimize the cooling layout of the flywheel energy storage system.

[0011] As a preferred embodiment of the present invention, the process of the energy storage operation detection module is as follows:

[0012] The coordination phase of the flywheel body and the motor is collected, and the floating value of the motor control speed affected by the rotation of the flywheel body itself is collected. If the floating value of the motor control speed exceeds the set floating value threshold, the current motor and flywheel operation phase is set to 1; otherwise, the current motor and flywheel operation phase is set to 0.

[0013] As a preferred embodiment of the present invention, the coordination stage of the flywheel body and the bearing system is collected, and the decibel value of the corresponding friction sound when the flywheel and the bearing system generate friction is collected, and the current coordination stage is detected according to the floating span of the decibel value at each moment. If the floating span of the decibel value of the friction sound at the current moment exceeds the decibel floating span threshold, the coordination stage of the flywheel body and the bearing system at the current moment is set to a value of 1; otherwise, the coordination stage of the flywheel body and the bearing system at the current moment is set to a value of 0.

[0014] As a preferred embodiment of the present invention, the flywheel energy storage system is statistically analyzed at each moment during its operation. A binary method is used. If both the two values ​​are not 1 during the coordination phase, the value is calculated as 1. If both the two values ​​are 1 during the coordination phase, the value is calculated as 10. The flywheel hardware operation analysis parameters are obtained based on the total number of moment statistics during the operation.

[0015] If the total number of flywheel hardware operation analysis parameters exceeds the total number threshold, or the numerical deviation of the flywheel hardware operation analysis parameters corresponding to different operation periods exceeds the deviation threshold, the current operation period of the flywheel energy storage system is marked as an abnormal operation period; if the total number of flywheel hardware operation analysis parameters does not exceed the total number threshold, and the numerical deviation of the flywheel hardware operation analysis parameters corresponding to different operation periods does not exceed the deviation threshold, the current operation period of the flywheel energy storage system is marked as a normal operation period.

[0016] As a preferred embodiment of the present invention, the operation process of the fever scene analysis unit is as follows:

[0017] During normal operation, a heating scenario analysis is performed and a heating threshold is set. If the heating value at each location in the flywheel energy storage system exceeds the heating threshold, the corresponding location is marked as a positive temperature impact location; otherwise, the corresponding location is marked as a positive temperature non-impact location.

[0018] Collect the floating value of the heating area at the positive temperature-affected position during normal operation and the reciprocating floating span of the corresponding heating value peak at the positive temperature-unaffected position;

[0019] If the area floating value of the heat generating area at the positive temperature influence position exceeds the area floating threshold value or the reciprocating floating span of the heat generating amount peak value at the positive temperature non-influence position exceeds the peak value floating threshold value during the normal operation period, the current normal operation period is marked as a risk heat generating period; if the area floating value of the heat generating area at the positive temperature influence position does not exceed the area floating threshold value and the reciprocating floating span of the heat generating amount peak value at the positive temperature non-influence position does not exceed the peak value floating threshold value during the normal operation period, the current normal operation period is marked as a safe heat generating period.

[0020] As a preferred embodiment of the present application, the heat generating scene analysis is performed on the abnormal operation period:

[0021] The heat dissipation speed threshold value is set, if the heat dissipation speed exceeds the set heat dissipation speed threshold value, the corresponding position is marked as a high heat dissipation position; if the heat dissipation speed does not exceed the set heat dissipation speed threshold value, the corresponding position is marked as a low heat dissipation position;

[0022] The speed ratio corresponding to the heat generating temperature rising speed and the heat dissipation temperature falling speed of the high heat dissipation position and the standby heat generating amount growth span of the low heat dissipation position during the abnormal operation period are collected, if the speed ratio corresponding to the heat generating temperature rising speed and the heat dissipation temperature falling speed of the high heat dissipation position during the abnormal operation period exceeds the speed ratio threshold value, or the standby heat generating amount growth span of the low heat dissipation position exceeds the standby heat generating amount growth span threshold value, the current abnormal operation period is marked as a risk heat dissipation period; if the speed ratio corresponding to the heat generating temperature rising speed and the heat dissipation temperature falling speed of the high heat dissipation position during the abnormal operation period does not exceed the speed ratio threshold value, and the standby heat generating amount growth span of the low heat dissipation position does not exceed the standby heat generating amount growth span threshold value, the current abnormal operation period is marked as a safe heat dissipation period.

[0023] As a preferred embodiment of the present application, the energy storage cooling control fuses the operation period, if the risk heat generating period and the risk heat dissipation period are adjacent or in the current real-time operation period, the current real-time operation period is marked as a high-intensity cooling period; if the risk heat generating period and the safe heat dissipation period, the safe heat generating period and the risk heat dissipation period are adjacent or in the current real-time operation period, the current real-time operation period is marked as a medium-intensity cooling period; if the safe heat generating period and the safe heat dissipation period are adjacent or in the current real-time operation period, the current real-time operation period is marked as a low-intensity cooling period.

[0024] As a preferred embodiment of the present application, the process of the cooling layout analysis optimization module is as follows:

[0025] During the operation phase of the flywheel energy storage system, the moment when heat is generated is the starting moment of the heat dissipation phase, and the heat dissipation phase is obtained at the current operation moment; the volume ratio of the spatial volume of the cooling medium circulation channel during the heat dissipation phase to the spatial volume of the heat generation position of the flywheel energy storage system is collected, and the heat dissipation residence space corresponding to the current cooling medium circulation channel surface is obtained according to the real-time volume ratio, and the real-time amount to be dissipated is obtained through the heat dissipation residence space; the heat dissipation deviation duration of the current period is obtained by combining the heat dissipation speed of the cooling medium circulation and the real-time amount to be dissipated of the heat dissipation residence space; according to the increase of the operation time in the current operation period, the heat dissipation deviation duration is accumulated and summed to obtain the maximum deviation value of the delay duration of different heat dissipation residence spaces in the current operation period.

[0026] As a preferred embodiment of the present invention, a deviation distance between the installation position of the heat dissipation component and the center of the positive temperature influence position during the heat dissipation stage is collected, and based on the current deviation distance, the excess heat dissipation per unit time of the heat dissipation component and the real-time heat dissipation per unit time is collected; the heat increase at the corresponding positive temperature influence position at the same unit time is collected, and the heat increase is calculated by ratio of the heat increase to the excess heat dissipation to obtain a heat value ratio;

[0027] At the same time, the maximum deviation threshold of the delay time and the heat value ratio threshold are set, and the thresholds set for the high-intensity cooling period, the medium-intensity cooling period, and the low-intensity cooling period are different.

[0028] As a preferred embodiment of the present invention, if the maximum deviation value of the delay time of different heat dissipation residence spaces during the operation period exceeds the maximum deviation threshold of the delay time, or the heat value ratio exceeds the heat value ratio threshold, a cooling layout optimization signal is generated; if the maximum deviation value of the delay time of different heat dissipation residence spaces during the operation period does not exceed the maximum deviation threshold of the delay time, and the heat value ratio exceeds the heat value ratio threshold, a cooling layout high efficiency signal is generated.

[0029] Compared with the prior art, the present invention has the following beneficial effects:

[0030] 1. In the present invention, the operating state of the flywheel energy storage system is inferred based on the operation detection to ensure that all components can operate normally, and to avoid abnormal operation causing abnormal heating state of the internal heating position of the flywheel energy storage system, resulting in fluctuation of heat generation so that it is impossible to ensure that the cooling system can meet the heat generation at all times, thereby reducing the heat dissipation efficiency of the flywheel energy storage system and creating a vicious cycle that affects the operating efficiency of the flywheel energy storage system.

[0031] 2. In the present invention, the heating state of each heating scenario of the flywheel energy storage system is inferred according to different operating states, and heating detection is performed according to real-time heating scenario analysis to analyze the different impacts brought by the heating scenarios. At the same time, based on the impact analysis results, the energy storage cooling control center can perform targeted cooling control to ensure that the real-time cooling setting parameters can control different types of heating scenarios, improve the fault tolerance of the flywheel energy storage system, avoid abnormal heating caused by abnormal hardware operation in the flywheel energy storage system, affect the energy storage function coordination of the entire system, and indirectly affect the service life of the power electronic converter, thereby improving the energy storage cooling control efficiency.

[0032] 3. In the present invention, the cooling layout of the flywheel energy storage system is analyzed and optimized. The cooling layout is analyzed based on the cooling layout of the current operating period and the cooling intensity type of the corresponding period. It is inferred whether the current cooling efficiency is suitable for the current flywheel energy storage system, so that the cooling layout can be adjusted in time, thereby improving the cooling efficiency of the flywheel energy storage system. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] To facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0034] Figure 1 This is a principle block diagram of the first embodiment of the present invention;

[0035] Figure 2 This is a principle block diagram of embodiment 2 of the present invention. DETAILED DESCRIPTION

[0036] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0037] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present invention. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute a separate or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0038] Example 1

[0039] See also Figure 1As shown, a flywheel energy storage cooling system based on a green data center includes a flywheel energy storage system and an energy storage cooling control center, and the flywheel energy storage system and the energy storage cooling control center are connected in a two-way communication manner; the flywheel energy storage system is composed of a flywheel body, a motor, a bearing system, and a power electronic converter, and relies on the motor / generator to convert electrical energy into mechanical energy of the flywheel to achieve electrical energy storage; the energy storage cooling control center is adapted to the flywheel energy storage system and performs cooling control during the operation of the flywheel energy storage system;

[0040] The energy storage cooling control center is connected to the energy storage operation detection module, the cooling layout analysis and optimization module, and the heating scenario analysis unit. It collects and analyzes the operating data of the flywheel energy storage system based on green data center technology.

[0041] As a preferred feasibility example, the energy storage operation detection module is used to perform operation detection on the flywheel energy storage system, infer the operating status of the flywheel energy storage system based on the operation detection, ensure that all components can operate normally, and avoid abnormal operation causing abnormal heating status of internal heating locations of the flywheel energy storage system, resulting in fluctuating heat generation and making it impossible to ensure that the cooling system can meet the heat generation at all times, thereby reducing the heat dissipation efficiency of the flywheel energy storage system and creating a vicious cycle that affects the operating efficiency of the flywheel energy storage system.

[0042] The coordinated operation of the flywheel body, motor, and bearing system is detected, the coordinated stage of the flywheel body and the motor is collected, and when the motor controls the rotation of the flywheel body in the coordinated stage, the flywheel body's own rotation during rotation affects the motor control speed floating value. It should be explained that the inertia affects the speed floating value as the motor sets the flywheel to 10 revolutions per second. Due to the different current flywheel rotation speeds, the motor has a certain speed buffer for the speed change of the flywheel. The deviation between the corresponding motor set speed and the real-time flywheel speed at the current moment is the speed floating value; and if the speed floating value affecting the motor control exceeds the set floating value threshold, the motor and flywheel operation stage at the current moment is set to a value of 1; otherwise, the motor and flywheel operation stage at the current moment is set to a value of 0; wherein, the set floating value threshold is a threshold parameter artificially set by those skilled in the art; it should be explained that the parameter analysis involved in this scheme is realized by collecting the frequency domain response function value between the flywheel rotor and the magnetic levitation bearing, and the frequency domain response function value is a publicly known prior art;

[0043] The matching stage of the flywheel body and the bearing system is collected, and when the bearing system supports the flywheel body to rotate during the matching stage, the decibel value of the corresponding friction sound when the flywheel and the bearing system generate friction is collected, and the current matching stage is detected according to the floating span of the decibel value at each moment. If the floating span of the decibel value of the friction sound at the current moment exceeds the decibel floating span threshold, the matching stage of the flywheel body and the bearing system at the current moment is set to a value of 1; otherwise, the matching stage of the flywheel body and the bearing system at the current moment is set to a value of 0; wherein the decibel floating span threshold is a threshold parameter manually set by those skilled in the art;

[0044] The flywheel energy storage system is statistically analyzed at each moment during its operation, i.e., numerical statistics are performed in the two coordination phases. A binary method is used, where if both the numerical values ​​are not 1 during the coordination phase, the numerical value is calculated as 1; if both the numerical values ​​are 1 during the coordination phase, the numerical value is calculated as 10. The flywheel hardware operation analysis parameters are obtained based on the total number of statistical moments during the operation.

[0045] If the total number of the flywheel hardware operation analysis parameters exceeds the total number threshold, or the numerical deviation of the flywheel hardware operation analysis parameters corresponding to different operation periods exceeds the deviation threshold, the current operation period of the flywheel energy storage system is marked as an abnormal operation period;

[0046] If the total number of the flywheel hardware operation analysis parameters does not exceed the total number threshold, and the numerical deviation of the flywheel hardware operation analysis parameters corresponding to different operation periods does not exceed the deviation threshold, then the current operation period of the flywheel energy storage system is marked as a normal operation period;

[0047] The abnormal operation period and normal operation period are sent to the energy storage cooling control center;

[0048] At the same time, after completing the energy storage operation detection, different types of operation time periods are sent to the fever scene analysis unit;

[0049] As a preferred feasibility example, the heating scenario analysis unit performs heating scenario analysis on the flywheel energy storage system in different operating periods, infers the heating status of each heating scenario of the flywheel energy storage system according to different operating states, performs heating detection based on real-time heating scenario analysis, and analyzes the different impacts brought by the heating scenarios. At the same time, based on the impact analysis results, the energy storage cooling control center can perform targeted cooling control to ensure that the real-time cooling setting parameters can control different types of heating scenarios, improve the fault tolerance of the flywheel energy storage system, avoid abnormal heating caused by abnormal hardware operation in the flywheel energy storage system, affect the energy storage function coordination of the entire system, and indirectly affect the service life of the power electronic converter, thereby improving the energy storage cooling control efficiency;

[0050] The heat scene analysis is performed on the normal operation period, a heat amount threshold is set, and the heat amount threshold is used to detect whether the heat dissipation of the flywheel energy storage system is affected by the constant current position heat amount, specifically, if the heat amount of each position in the flywheel energy storage system exceeds the heat amount threshold, the corresponding position is marked as a positive temperature influence position; otherwise, the corresponding position is marked as a positive temperature non-influence position; it needs to be explained that the influence types of each position are different, but they can all be controlled by the cooling system in the normal operation period;

[0051] The heat area floating value of the positive temperature influence position in the normal operation period and the reciprocating floating span of the corresponding heat amount peak value of the positive temperature non-influence position are collected, and the corresponding area floating threshold and peak value floating threshold are set for comparison:

[0052] If the heat area floating value of the positive temperature influence position in the normal operation period exceeds the area floating threshold, or the reciprocating floating span of the corresponding heat amount peak value of the positive temperature non-influence position exceeds the peak value floating threshold, the current normal operation period is marked as a risk heat period;

[0053] If the heat area floating value of the positive temperature influence position in the normal operation period does not exceed the area floating threshold, and the reciprocating floating span of the corresponding heat amount peak value of the positive temperature non-influence position does not exceed the peak value floating threshold, the current normal operation period is marked as a safe heat period;

[0054] The heat scene analysis is performed on the abnormal operation period:

[0055] A heat dissipation speed threshold is set, and the heat dissipation speed threshold is used to analyze and infer whether the heat dissipation speed of the heat position affects the heat dissipation efficiency of the entire flywheel energy storage system, the heat dissipation speed of each position in the abnormal operation period is compared with the threshold, if the heat dissipation speed exceeds the set heat dissipation speed threshold, the corresponding position is marked as a high heat dissipation position; if the heat dissipation speed does not exceed the set heat dissipation speed threshold, the corresponding position is marked as a low heat dissipation position;

[0056] The heat dissipation temperature rising speed and the heat dissipation temperature falling speed corresponding speed ratio of the high heat dissipation position in the abnormal operation period, and the growth span of the heat amount to be dissipated of the low heat dissipation position are collected, and the speed ratio threshold and the growth span threshold of the heat amount to be dissipated are set for comparison:

[0057] If the heat dissipation temperature rising speed and the heat dissipation temperature falling speed corresponding speed ratio of the high heat dissipation position in the abnormal operation period exceeds the speed ratio threshold, or the growth span of the heat amount to be dissipated of the low heat dissipation position exceeds the growth span threshold of the heat amount to be dissipated, the current abnormal operation period is marked as a risk heat dissipation period;

[0058] If the speed ratio of the rising speed of the heat generation temperature of the high-heat-dissipation position and the falling speed of the heat dissipation temperature in the abnormal operation period does not exceed the speed ratio threshold, and the growth span of the heat to be dissipated of the low-heat-dissipation position does not exceed the heat-to-be-dissipated growth span threshold, the current abnormal operation period is marked as a safe heat dissipation period;

[0059] The risk heat generation period, the safe heat generation period, the risk heat dissipation period and the safe heat dissipation period are sent to the energy storage cooling control center together;

[0060] After receiving, the energy storage cooling control center divides and controls the real-time operation period in a targeted manner, that is, the operation periods are fused. If the risk heat generation period and the risk heat dissipation period are adjacent or in the current real-time operation period, the current real-time operation period is marked as a high-intensity cooling period. If the risk heat generation period and the safe heat dissipation period, or the safe heat generation period and the risk heat dissipation period are adjacent or in the current real-time operation period, the current real-time operation period is marked as a medium-intensity cooling period. If the safe heat generation period and the safe heat dissipation period are adjacent or in the current real-time operation period, the current real-time operation period is marked as a low-intensity cooling period. Different intensity operation periods are controlled in a targeted manner;

[0061] The energy storage cooling control center generates a cooling layout analysis optimization signal and sends it to the cooling layout analysis optimization module;

[0062] As a preferred feasible example, the cooling layout analysis optimization module is used to analyze and optimize the cooling layout of the flywheel energy storage system. The cooling layout of the current operation period and the cooling intensity type of the corresponding period are analyzed to infer whether the current cooling efficiency is suitable for the current flywheel energy storage system, so as to adjust the cooling layout in time and improve the cooling efficiency of the flywheel energy storage system;

[0063] The heat generation moment in the flywheel energy storage system operation stage is the starting moment of the heat dissipation stage, and the heat dissipation stage is obtained at the current operation moment. The corresponding volume ratio of the space volume of the cooling medium flow passage and the space volume of the flywheel energy storage system heat generation position in the heat dissipation stage is collected. According to the real-time volume ratio, the heat dissipation residence space corresponding to the current cooling medium flow passage is obtained. The real-time heat to be dissipated is obtained through the heat dissipation residence space. It needs to be explained that the real-time heat to be dissipated represents the heat to be cooled in real time;

[0064] The heat dissipation deviation time length of the current period is obtained by combining the heat dissipation speed of the cooling medium flow and the real-time heat to be dissipated of the heat dissipation residence space;

[0065] According to the increase of the operation time in the current operation period, the delay time length maximum deviation value of different heat dissipation residence spaces in the current operation period is obtained by accumulating and summing the heat dissipation deviation time length;

[0066] During the heat dissipation phase, the deviation distance between the heat dissipation component installation position and the center of the positive temperature impact position is collected. Based on the current deviation distance, the excess of the heat dissipation per unit time of the heat dissipation component and the real-time heat dissipation per unit time is collected. It should be explained that the unit time is used to detect the speed parameter of the heat dissipation component, while the deviation of the heat dissipation is not collected. This is to reflect the accuracy of the current heat dissipation component installation position. When the position deviates, a heat dissipation component with a high heat dissipation speed cannot fully exert its heat dissipation performance.

[0067] Collect the heat increase at the positive temperature impact position at the same unit time, and calculate the ratio of the heat increase to the excess heat dissipation to obtain the heat value ratio;

[0068] At the same time, the maximum deviation threshold of the delay time and the heat value ratio threshold are set and compared: It should be explained that the threshold setting is a threshold parameter manually set by personnel in this field in combination with historical operations during actual operation, which is used to measure the eligibility of the currently collected data; and the thresholds set for the high-intensity cooling period, the medium-intensity cooling period, and the low-intensity cooling period are different, that is, the threshold setting for the high-intensity cooling period is equal to 0.8 times the medium-intensity cooling period, which is equal to 0.6 times the low-intensity cooling period; the threshold type is unified when comparing thresholds, but in actual comparison, there are deviations in the actual values ​​of the thresholds corresponding to different types of cooling periods;

[0069] If the maximum deviation of the delay durations of different heat dissipation residence spaces within the operating period exceeds the maximum delay duration deviation threshold, or the heat value ratio exceeds the heat value ratio threshold, it is inferred that the cooling layout analysis is inefficient, and a cooling layout optimization signal is generated and sent to the energy storage cooling control center;

[0070] If the maximum deviation of the delay durations of different heat dissipation residence spaces within the operating period does not exceed the maximum deviation threshold for the delay duration, and the heat value ratio exceeds the heat value ratio threshold, it is inferred that the cooling layout analysis is efficient, and a cooling layout efficiency signal is generated and sent to the energy storage cooling control center;

[0071] After receiving the cooling layout optimization signal, the energy storage cooling control center adjusts the spatial volume of the cooling medium circulation channel in the heat generation position of the flywheel energy storage system, or moves the cooling medium circulation channel; then moves the heat dissipation components set in the flywheel energy storage system;

[0072] Example 2

[0073] As a preferred feasibility example, Figure 2 As shown, the energy storage cooling control center is communicatively connected to the cooling mode adjustment unit;

[0074] A cooling mode adjustment unit is used to adjust the cooling mode of the flywheel energy storage system. By adjusting the cooling mode, the cooling efficiency of the flywheel energy storage system is maximized to avoid the limitations of the cooling mode in applicable scenarios, which may result in the inability to meet the current scenario to ensure heat dissipation performance and cause unnecessary operating risks for the flywheel energy storage system.

[0075] Collect the cumulative duration of the risk heat dissipation period in the flywheel energy storage system when the current cooling method is used, and the rising speed of the risk heating period after the cumulative duration of the risk heat dissipation period reaches the set value;

[0076] If the cumulative duration of the risk heat dissipation period and the rising speed of the risk fever period both exceed the corresponding set thresholds, it is inferred that the current cooling method is abnormal and the cooling method is adjusted; that is, when the space where the heat is generated is an irregular space, the cooling method is set to air cooling; if the spatial area where the heat is generated is large, the cooling method is set to liquid cooling, and the area is dissipated by the transportation of the cooling medium, and the diameter of the transportation pipeline is set according to the size of the heat dissipation area; when the heat generation area exceeds a geometric integer multiple of the set red line threshold, phase change materials are used to achieve cooling by utilizing the characteristics of the phase change material to absorb or release a large amount of heat during the phase change process;

[0077] If the cumulative duration of the risk heat dissipation period and the rising speed of the risk fever period do not exceed the corresponding set thresholds, it is inferred that the current cooling method is normal and heat dissipation continues to be performed in the current cooling method.

[0078] When the present invention is in use, the energy storage operation detection module performs operation detection on the flywheel energy storage system, sets the numerical value of the corresponding coordination stage according to the coordination stage analysis of the internal components of the flywheel energy storage system, performs statistics on the operation time period of the flywheel energy storage system at each moment, and divides the operation time period into abnormal operation time period and normal operation time period according to the statistical values; the heating scene analysis unit performs heating scene analysis on the flywheel energy storage system in different operation time periods, and obtains various types of operation time periods according to the scene analysis; the cooling layout analysis and optimization module is used to analyze and optimize the cooling layout of the flywheel energy storage system.

[0079] The preferred embodiments of the present invention disclosed above are intended only to help illustrate the present invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the present invention to specific embodiments. Obviously, many modifications and variations are possible based on the contents of this specification. These embodiments are selected and described in detail in this specification to better explain the principles and practical applications of the present invention, thereby enabling those skilled in the art to better understand and utilize the present invention. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A flywheel energy storage cooling system based on a green data center, characterized in that: It includes a flywheel energy storage system and an energy storage cooling control center. The energy storage cooling control center is connected to the energy storage operation detection module, the cooling layout analysis and optimization module, and the heating scenario analysis unit; The energy storage operation detection module performs operation detection on the flywheel energy storage system, sets the corresponding coordination stage value according to the coordination stage analysis of the internal components of the flywheel energy storage system, collects statistics on the operation period of the flywheel energy storage system at each moment, and divides the operation period into abnormal operation period and normal operation period according to the statistical values; The process of the energy storage operation detection module is as follows: Collect the coordination phase of the flywheel body and the motor, and collect the floating value of the motor control speed affected by the rotation of the flywheel body itself during rotation. If the floating value of the motor control speed exceeds the set floating value threshold, the current motor and flywheel operation phase is set to 1; otherwise, the current motor and flywheel operation phase is set to 0. The coordination stage of the flywheel body and the bearing system is collected, and the decibel value of the corresponding friction sound when the flywheel and the bearing system generate friction is collected. The current coordination stage is detected based on the floating span of the decibel value at each moment. If the floating span of the decibel value of the friction sound at the current moment exceeds the decibel floating span threshold, the coordination stage of the flywheel body and the bearing system at the current moment is set to a value of 1; otherwise, the coordination stage of the flywheel body and the bearing system at the current moment is set to a value of 0; The flywheel energy storage system is statistically analyzed at each moment during its operation. A binary method is used. If both the two values ​​are not 1 during the coordination phase, the value is calculated as 1. If both the two values ​​are 1 during the coordination phase, the value is calculated as 10. The flywheel hardware operation analysis parameters are obtained based on the total number of operational statistics. If the total number of the flywheel hardware operation analysis parameters exceeds the total number threshold, or the numerical deviation of the flywheel hardware operation analysis parameters corresponding to different operation periods exceeds the deviation threshold, the current operation period of the flywheel energy storage system is marked as an abnormal operation period; If the total number of the flywheel hardware operation analysis parameters does not exceed the total number threshold, and the numerical deviation of the flywheel hardware operation analysis parameters corresponding to different operation periods does not exceed the deviation threshold, then the current operation period of the flywheel energy storage system is marked as a normal operation period; The heating scenario analysis unit performs heating scenario analysis on the flywheel energy storage system at different operating periods, and obtains various types of operating periods based on the scenario analysis; The cooling layout analysis and optimization module is used to analyze and optimize the cooling layout of the flywheel energy storage system.

2. A flywheel energy storage cooling system based on a green data center according to claim 1, characterized in that: The operation process of the fever scene analysis unit is as follows: During normal operation, a heating scenario analysis is performed and a heating threshold is set. If the heating value at each location in the flywheel energy storage system exceeds the heating threshold, the corresponding location is marked as a positive temperature impact location; otherwise, the corresponding location is marked as a positive temperature non-impact location. Collect the floating value of the heating area at the positive temperature-affected position during normal operation and the reciprocating floating span of the corresponding heating value peak at the positive temperature-unaffected position; If the area fluctuation value of the heating zone at the positive temperature impact location during the normal operation period exceeds the area fluctuation threshold, or the reciprocating fluctuation span of the corresponding heating value peak at the positive temperature non-impact location exceeds the peak fluctuation threshold, the current normal operation period will be marked as a risky heating period; If the area fluctuation value of the heating zone at the positive temperature-affected position during the normal operating period does not exceed the area fluctuation threshold, and the reciprocating fluctuation span of the corresponding heating value peak at the positive temperature-unaffected position does not exceed the peak fluctuation threshold, the current normal operating period will be marked as a safe heating period.

3. A flywheel energy storage cooling system based on a green data center according to claim 2, characterized in that: Perform heating scenario analysis during abnormal operation periods: Set a heat dissipation speed threshold. If the heat dissipation speed exceeds the set heat dissipation speed threshold, the corresponding position will be marked as a high heat dissipation position; if the heat dissipation speed does not exceed the set heat dissipation speed threshold, the corresponding position will be marked as a low heat dissipation position. Collect the corresponding speed ratio of the heating temperature rising speed and the cooling temperature falling speed at the high cooling position during the abnormal operation period, as well as the growth span of the heat to be dissipated at the low cooling position. If the corresponding speed ratio of the heating temperature rising speed and the cooling temperature falling speed at the high cooling position during the abnormal operation period exceeds the speed ratio threshold, or the growth span of the heat to be dissipated at the low cooling position exceeds the growth span threshold, then mark the current abnormal operation period as a risky cooling period; If the speed ratio of the heating temperature rise rate and the cooling temperature decrease rate at the high heat dissipation position during the abnormal operation period does not exceed the speed ratio threshold, and the growth span of the heat to be dissipated at the low heat dissipation position does not exceed the growth span threshold of the heat to be dissipated, the current abnormal operation period is marked as a safe heat dissipation period.

4. A flywheel energy storage cooling system based on a green data center according to claim 3, characterized in that: The energy storage cooling control center integrates the upcoming operating periods. If the risk heating period and the risk cooling period are adjacent to each other or are in the current real-time operating period, the current real-time operating period is marked as a high-intensity cooling period. If the risky heating period and the safe cooling period, or the safe heating period and the risky cooling period are adjacent to or in the current real-time operation period, the current real-time operation period is marked as a medium-intensity cooling period; If the safe heating period and the safe heat dissipation period are adjacent to each other or are in the current real-time operation period, the current real-time operation period is marked as a low-intensity cooling period.

5. The flywheel energy storage cooling system based on a green data center according to claim 1 is characterized in that: The process of the cooling layout analysis and optimization module is as follows: During the operation phase of the flywheel energy storage system, the moment when heat is generated is the starting moment of the heat dissipation phase, and the heat dissipation phase is obtained at the current operation moment; the volume ratio of the spatial volume of the cooling medium circulation channel during the heat dissipation phase to the spatial volume of the heat generation position of the flywheel energy storage system is collected, and the heat dissipation residence space corresponding to the current cooling medium circulation channel surface is obtained according to the real-time volume ratio, and the real-time amount to be dissipated is obtained through the heat dissipation residence space; the heat dissipation deviation duration of the current period is obtained by combining the heat dissipation speed of the cooling medium circulation and the real-time amount to be dissipated of the heat dissipation residence space; according to the increase of the operation time in the current operation period, the heat dissipation deviation duration is accumulated and summed to obtain the maximum deviation value of the delay duration of different heat dissipation residence spaces in the current operation period.

6. A flywheel energy storage cooling system based on a green data center according to claim 5, characterized in that: The deviation distance between the installation position of the heat dissipation component and the center of the positive temperature influence position during the heat dissipation stage is collected. Based on the current deviation distance, the excess heat dissipation per unit time of the heat dissipation component and the real-time heat dissipation per unit time are collected. The heat increase at the corresponding positive temperature influence position at the same unit time is collected, and the heat value ratio is calculated by calculating the ratio of the heat increase to the excess heat dissipation. At the same time, the maximum deviation threshold of the delay time and the heat value ratio threshold are set, and the thresholds set for the high-intensity cooling period, the medium-intensity cooling period, and the low-intensity cooling period are different.

7. A flywheel energy storage cooling system based on a green data center according to claim 6, characterized in that: If the maximum deviation of the delay durations of different heat dissipation residence spaces during the operating period exceeds the maximum deviation threshold of the delay duration, or the heat value ratio exceeds the heat value ratio threshold, a cooling layout optimization signal is generated; if the maximum deviation of the delay durations of different heat dissipation residence spaces during the operating period does not exceed the maximum deviation threshold of the delay duration, and the heat value ratio exceeds the heat value ratio threshold, a cooling layout high efficiency signal is generated.

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