Flywheel energy storage cooling system based on green data center

Abstract

The invention discloses a flywheel energy storage cooling system based on a green data center, relates to the technical field of flywheel energy storage cooling, solves the technical problem that heating detection cannot be performed according to heating states of different heating scenes in the prior art, and particularly relates to an energy storage operation detection module for performing operation detection on a flywheel energy storage system, and a control module for controlling the flywheel energy storage system. According to matching stage analysis of internal parts of the flywheel energy storage system, numerical value setting is carried out on the corresponding matching stage, statistics is carried out on the running time period of the flywheel energy storage system at all moments, and the running time period is divided into an abnormal running time period and a normal running time period according to the statistical numerical value; the heating scene analysis unit is used for performing heating scene analysis on the flywheel energy storage system in different operation periods, and obtaining various types of the operation periods according to the scene analysis; and the cooling layout analysis and optimization module is used for analyzing and optimizing 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, and particularly 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, and mainly realizes electrical energy storage by converting electrical energy and mechanical energy of the flywheel into each other; during the charging process, electrical energy drives the motor, and the motor drives the flywheel to rotate at an accelerated speed, and the electrical energy is converted into the kinetic energy of the flywheel and stored; during the discharging process, the flywheel drives the generator to operate, and the kinetic energy of the flywheel is converted into electrical energy and released.

[0003] However, in the prior art, the flywheel energy storage system cannot perform heat generation prediction based on the analysis of the operating state, and cannot effectively avoid abnormal operating states, which reduces the cooling control efficiency of the flywheel energy storage system; at the same time, it cannot perform heat generation detection based on the inference of the heat generation state in different heat generation scenarios, and cannot perform cooling control according to the different functions brought by different heat generation scenarios; in addition, it cannot perform targeted optimization based on the analysis of the cooling layout, and cannot ensure the cooling efficiency of the flywheel energy storage.

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

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

[0006] The purpose of the present invention can be achieved by the following technical solutions: 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. 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 heat generation scenario analysis unit; The energy storage operation detection module performs operation detection on the flywheel energy storage system, sets corresponding numerical values for the corresponding cooperation stages according to the analysis of the cooperation stages of the internal components of the flywheel energy storage system, counts each moment of the operation period of the flywheel energy storage system, and divides the operation period into an abnormal operation period and a normal operation period according to the statistical values; The heat generation scenario analysis unit performs heat generation scenario analysis on the flywheel energy storage system in different operation periods, and obtains various types of the operation periods according to 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.

[0007] As a preferred embodiment of the present invention, the process of the energy storage operation detection module is as follows: Collect the matching stage of the flywheel body and the motor, and collect the value of the fluctuation of the motor control speed affected by the rotation of the flywheel body itself during rotation. If the value of the fluctuation of the motor control speed exceeds the set fluctuation value threshold, set the value of the operation stage of the motor and the flywheel at the current moment to 1; otherwise, set the value of the operation stage of the motor and the flywheel at the current moment to 0.

[0008] As a preferred embodiment of the present invention, collect the matching stage of the flywheel body and the bearing system, and collect the decibel value of the corresponding friction sound when friction occurs between the flywheel and the bearing system. Then, perform the current matching stage detection according to the floating span of the decibel values 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, set the value of the matching stage of the flywheel body and the bearing system at the current moment to 1; otherwise, set the value of the matching stage of the flywheel body and the bearing system at the current moment to 0.

[0009] As a preferred embodiment of the present invention, count each moment of the operation period of the flywheel energy storage system. Using the binary method, if both of the matching stages are not 1, the numerical calculation is 1; if both of the matching stages are 1, the data calculation is 10; obtain the flywheel hardware operation analysis parameter according to the total number of moments in the operation time. 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, mark the current operation period of the flywheel energy storage system 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, mark the current operation period of the flywheel energy storage system as a normal operation period.

[0010] As a preferred embodiment of the present invention, the operation process of the heat generation scenario analysis unit is as follows: Perform heat generation scenario analysis on the normal operation period, set the heat generation threshold. If the heat generation amount at each position in the flywheel energy storage system exceeds the heat generation threshold, mark the corresponding position as a positive temperature influence position; otherwise, mark the corresponding position as a positive temperature non-influence position. Collect the floating value of the heat generation area of the positive temperature influence position and the reciprocating floating span of the peak heat generation amount corresponding to the positive temperature non-influence position during the normal operation period. If the floating value of the heating area area at the positive temperature influence position during the normal operation period exceeds the area floating threshold, or the reciprocating floating span of the calorific value peak corresponding to the positive temperature non-influence position exceeds the peak floating threshold, then mark the current normal operation period as a risk heating period; if the floating value of the heating area area at the positive temperature influence position during the normal operation period does not exceed the area floating threshold, and the reciprocating floating span of the calorific value peak corresponding to the positive temperature non-influence position does not exceed the peak floating threshold, then mark the current normal operation period as a safe heating period.

[0011] As a preferred embodiment of the present invention, perform a heating scenario analysis on the abnormal operation period: Set a heat dissipation speed threshold. If the heat dissipation speed exceeds the set heat dissipation speed threshold, then mark the corresponding position as a high heat dissipation position; if the heat dissipation speed does not exceed the set heat dissipation speed threshold, then mark the corresponding position as a low heat dissipation position; Collect the corresponding speed ratio of the heating temperature rise speed and the heat dissipation temperature drop speed at the high heat dissipation position during the abnormal operation period, and the growth span of the heat to be dissipated at the low heat dissipation position. If the corresponding speed ratio of the heating temperature rise speed and the heat dissipation temperature drop speed at the high heat dissipation position during the abnormal operation period exceeds the speed ratio threshold, or the growth span of the heat to be dissipated at the low heat dissipation position exceeds the growth span threshold of the heat to be dissipated, then mark the current abnormal operation period as a risk heat dissipation period; if the corresponding speed ratio of the heating temperature rise speed and the heat dissipation temperature drop speed 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, then mark the current abnormal operation period as a safe heat dissipation period.

[0012] As a preferred embodiment of the present invention, the energy storage cooling control fuses the operation periods. If the risk heating period and the risk heat dissipation period are adjacent or in the current real-time operation period, then mark the current real-time operation period as a high-intensity cooling period; if the risk heating period and the safe heat dissipation period, the safe heating period and the risk heat dissipation period are adjacent or in the current real-time operation period, then mark the current real-time operation period as a medium-intensity cooling period; if the safe heating period and the safe heat dissipation period are adjacent or in the current real-time operation period, then mark the current real-time operation period as a low-intensity cooling period.

[0013] As a preferred embodiment of the present invention, the process of the cooling layout analysis and optimization module is as follows: During the operation stage of the flywheel energy storage system, the heat generation moment is the starting moment of the heat dissipation stage, and the heat dissipation stage is obtained based on the current operation moment; collect the corresponding volume ratio of the spatial volume of the cooling medium flow channel to the spatial volume of the heat generation position of the flywheel energy storage system within the heat dissipation stage, obtain the heat dissipation residence space corresponding to the current cooling medium flow channel according to the real-time volume ratio, and obtain the real-time heat quantity to be dissipated through the heat dissipation residence space; combine the heat dissipation speed of the cooling medium flow and the real-time heat quantity to be dissipated in the heat dissipation residence space to obtain the heat dissipation deviation duration of the current time period; according to the increase in the operation time within the current operation time period, accumulate and sum the heat dissipation deviation duration to obtain the maximum deviation value of the delay duration of different heat dissipation residence spaces within the current operation time period.

[0014] As a preferred embodiment of the present invention, collect the deviation distance between the installation position of the heat dissipation component and the center of the positive temperature influence position within the heat dissipation stage, and according to the current deviation distance, collect the excess amount of the heat dissipation per unit time of the heat dissipation component and the real-time heat dissipation per unit time; collect the heat generation increase amount corresponding to the positive temperature influence position at the same unit time, and calculate the ratio of the heat generation increase amount to the heat dissipation excess amount to obtain the heat quantity ratio. At the same time, set the maximum deviation threshold of the delay duration and the heat quantity ratio threshold, and the thresholds set for the high-intensity cooling time period, medium-intensity cooling time period, and low-intensity cooling time period are different.

[0015] As a preferred embodiment of the present invention, if the maximum deviation value of the delay duration of different heat dissipation residence spaces within the operation time period exceeds the maximum deviation threshold of the delay duration, or the heat quantity ratio exceeds the heat quantity ratio threshold, a cooling layout optimization signal is generated; if the maximum deviation value of the delay duration of different heat dissipation residence spaces within the operation time period does not exceed the maximum deviation threshold of the delay duration, and the heat quantity ratio exceeds the heat quantity ratio threshold, a cooling layout high-efficiency signal is generated.

[0016] Compared with the prior art, the beneficial effects of the present invention are: 1. In the present invention, the operation state of the flywheel energy storage system is inferred based on the operation detection to ensure that each component can operate normally, avoiding abnormal heat generation states at the internal heat generation positions of the flywheel energy storage system due to abnormal operation, resulting in fluctuations in the heat generation quantity so that the cooling system cannot meet the heat generation quantity at every moment, reducing the heat dissipation efficiency of the flywheel energy storage system, and instead generating a vicious cycle to affect the operation efficiency of the flywheel energy storage system.

[0017] 2. In the present invention, the heating states of each heating scenario of the flywheel energy storage system are inferred according to different operating states, and heating detection is performed based on the real-time heating scenario analysis. The different impacts brought by the heating scenario are analyzed. At the same time, according to 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 rate of the flywheel energy storage system, avoid abnormal heating caused by abnormal operation of the hardware in the flywheel energy storage system, affect the energy storage function cooperation of the entire system, and indirectly affect the service life of the power electronic converter, thereby improving the energy storage cooling control efficiency.

[0018] 3. In the present invention, the cooling layout of the flywheel energy storage system is analyzed and optimized. The cooling layout analysis is carried out through the cooling layout in the current operating period and the type of cooling intensity in the corresponding period to infer whether the current cooling efficiency is suitable for the current flywheel energy storage system, so as to adjust the cooling layout in a timely manner and improve the cooling efficiency of the flywheel energy storage system. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] For the convenience of those skilled in the art to understand, the present invention will be further described below with reference to the accompanying drawings.

[0020] Figure 1 is the principle block diagram of Embodiment 1 of the present invention; Figure 2 is the principle block diagram of Embodiment 2 of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0021] In order to enable those skilled in the art to better understand the solution of the present invention, 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. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0022] Reference to "embodiment" in this document means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the present invention. The phrase does not necessarily refer to the same embodiment at every occurrence in the specification, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art will explicitly and implicitly understand that the embodiments described herein may be combined with other embodiments.

[0023] Embodiment 1 Please refer to Figure 1As shown in the figure, 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 is bidirectionally communicatively connected to the energy storage cooling control center; 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 and the 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 controls the cooling during the operation of the flywheel energy storage system; 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 heat generation scenario analysis unit; the operation data of the flywheel energy storage system is collected and statistically analyzed according to the green data center technology, and data analysis is performed; As a preferred feasible example, the energy storage operation detection module is used to detect the operation of the flywheel energy storage system, infer the operation state of the flywheel energy storage system according to the operation detection, ensure that each component can operate normally, and avoid abnormal heat generation at the internal heat generation position of the flywheel energy storage system due to abnormal operation, resulting in a floating heat generation amount so that the cooling system cannot meet the heat generation amount at all times, reducing the heat dissipation efficiency of the flywheel energy storage system, and instead generating a vicious cycle to affect the operation efficiency of the flywheel energy storage system; Detect the coordinated operation of the flywheel body, the motor, and the bearing system, collect the coordination stage of the flywheel body and the motor, and when the motor controls the rotation of the flywheel body within the coordination stage, collect the floating value of the motor control speed affected by the self-rotation of the flywheel body during rotation. It should be noted that the floating value of the speed affected by inertia is expressed as the motor setting the flywheel to rotate at 10 revolutions per second. Due to the different current self-rotation speeds of the flywheel, there is a certain speed buffer for the motor to change the speed of the flywheel. Then, the deviation between the motor-set speed and the real-time flywheel speed at the current moment is the floating value of the speed; and when the floating value of the motor control speed affected exceeds the set floating value threshold, set the value of the operation stage of the motor and the flywheel at the current moment to 1; otherwise, set the value of the operation stage of the motor and the flywheel at the current moment to 0; among them, the set floating value threshold is a threshold parameter artificially set by those skilled in the art; it should be noted that the parameter analysis involved in this solution 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; Collect the fitting stage of the flywheel body and the bearing system. When the bearing system supports the rotation of the flywheel body during the fitting stage, collect the decibel value corresponding to the friction sound generated when the flywheel and the bearing system rub against each other, and perform the current fitting stage detection based on the floating span of the decibel values 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, set the value of the fitting stage of the flywheel body and the bearing system at the current moment to 1; otherwise, set the value of the fitting stage of the flywheel body and the bearing system at the current moment to 0. Among them, the decibel floating span threshold is a threshold parameter artificially set by those skilled in the art. Statistically count each moment of the operation period of the flywheel energy storage system, that is, perform numerical statistics on the two fitting stages. Using the binary method, if both of the fitting stages are not 1, the numerical calculation is 1; if both of the fitting stages are 1, the data calculation is 10. Obtain the flywheel hardware operation analysis parameter according to the total number of moments of the operation time. If the total number of flywheel hardware operation analysis parameters exceeds the total threshold, or the numerical deviation of the flywheel hardware operation analysis parameters corresponding to different operation periods exceeds the deviation threshold, mark the current operation period of the flywheel energy storage system as an abnormal operation period. If the total number of flywheel hardware operation analysis parameters does not exceed the total threshold, and the numerical deviation of the flywheel hardware operation analysis parameters corresponding to different operation periods does not exceed the deviation threshold, mark the current operation period of the flywheel energy storage system as a normal operation period. And send the abnormal operation period and the normal operation period to the energy storage cooling control center together. At the same time, after completing the energy storage operation detection, send the operation periods of different types to the heating scenario analysis unit. As a preferred feasible example, the heating scenario analysis unit performs heating scenario analysis on the flywheel energy storage system for different operation periods, infers the heating states of each heating scenario of the flywheel energy storage system according to different operation states, performs heating detection according to the real-time heating scenario analysis, analyzes the different impacts brought by the heating scenario. At the same time, according to the impact analysis result, 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 rate 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 cooperation of the entire system, and indirectly affect the service life of the power electronic converter, thereby improving the energy storage cooling control efficiency. Conduct a heat generation scenario analysis for the normal operation period, set a heat generation threshold value, and use the heat generation threshold value to detect whether the heat generation at the current position affects the heat dissipation of the flywheel energy storage system. Specifically, if the heat generation at each position in the flywheel energy storage system exceeds the heat generation threshold value, the corresponding position is marked as a positive temperature affected position; otherwise, the corresponding position is marked as a positive temperature unaffected position. It should be noted that although the influence types of each position are different, heat generation control can be achieved through the cooling system during the normal operation period; Collect the floating value of the heat generation area of the positive temperature affected positions and the reciprocating floating span of the peak heat generation of the positive temperature unaffected positions during the normal operation period, and set corresponding area floating threshold values and peak floating threshold values for comparison: If the floating value of the heat generation area of the positive temperature affected positions during the normal operation period exceeds the area floating threshold value, or the reciprocating floating span of the peak heat generation of the positive temperature unaffected positions exceeds the peak floating threshold value, mark the current normal operation period as a risk heat generation period; If the floating value of the heat generation area of the positive temperature affected positions during the normal operation period does not exceed the area floating threshold value, and the reciprocating floating span of the peak heat generation of the positive temperature unaffected positions does not exceed the peak floating threshold value, mark the current normal operation period as a safe heat generation period; Conduct a heat generation scenario analysis for the abnormal operation period: Set a heat dissipation speed threshold value, and use the heat dissipation speed threshold value to analyze the heat dissipation speed of the heat generation positions to infer whether it affects the heat dissipation efficiency of the entire flywheel energy storage system. Compare the heat dissipation speeds of each position during the abnormal operation period with the threshold value. If the heat dissipation speed exceeds the set heat dissipation speed threshold value, mark the corresponding position as a high heat dissipation position; if the heat dissipation speed does not exceed the set heat dissipation speed threshold value, mark the corresponding position as a low heat dissipation position; Collect the speed ratio of the heat generation temperature rise speed and the heat dissipation temperature drop speed of the high heat dissipation positions, and the growth span of the heat to be dissipated of the low heat dissipation positions during the abnormal operation period, and set a speed ratio threshold value and a growth span threshold value of the heat to be dissipated for comparison: If the speed ratio of the heat generation temperature rise speed and the heat dissipation temperature drop speed of the high heat dissipation positions during the abnormal operation period exceeds the speed ratio threshold value, or the growth span of the heat to be dissipated of the low heat dissipation positions exceeds the growth span threshold value of the heat to be dissipated, mark the current abnormal operation period as a risk heat dissipation period; If the speed ratio of the heat generation temperature rise speed and the heat dissipation temperature drop speed of the high heat dissipation positions during the abnormal operation period does not exceed the speed ratio threshold value, and the growth span of the heat to be dissipated of the low heat dissipation positions does not exceed the growth span threshold value of the heat to be dissipated, mark the current abnormal operation period as a safe heat dissipation period; Send the risk heat generation period, safe heat generation period, risk heat dissipation period, and safe heat dissipation period to the energy storage cooling control center; After the energy storage cooling control center receives it, it divides the real-time operation period and conducts targeted cooling control, that is, fuses the operation period. If the risk heating period and the risk heat dissipation period are adjacent or within the current real-time operation period, then the current real-time operation period is marked as a high-intensity cooling period; if the risk heating period and the safe heat dissipation period, or the safe heating period and the risk heat dissipation period are adjacent or within the current real-time operation period, then 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 or within the current real-time operation period, then the current real-time operation period is marked as a low-intensity cooling period; and targeted management and control are carried out according to different intensity operation periods; The energy storage cooling control center generates a cooling layout analysis and optimization signal and sends it to the cooling layout analysis and optimization module; As a preferred feasible example, the cooling layout analysis and optimization module is used to analyze and optimize the cooling layout of the flywheel energy storage system. Through the cooling layout of the current operation period and the cooling intensity type of the corresponding period, it analyzes the cooling layout to infer whether the current cooling efficiency is suitable for the current flywheel energy storage system, so as to timely adjust the cooling layout and improve the cooling efficiency of the flywheel energy storage system; In the operation stage of the flywheel energy storage system, the moment when heat is generated is the starting moment of the heat dissipation stage, and the heat dissipation stage is obtained based on the current operation moment; collect the volume ratio of the space volume of the cooling medium circulation channel in the heat dissipation stage to the space volume of the heat generation position of the flywheel energy storage system, and obtain the heat dissipation residence space corresponding to the current cooling medium circulation channel according to the real-time volume ratio, and obtain the real-time heat to be dissipated through the heat dissipation residence space; it should be noted that the real-time heat to be dissipated represents the calorific value waiting to be cooled in real time; Combine the heat dissipation speed of the cooling medium circulation and the real-time heat to be dissipated in the heat dissipation residence space to obtain the heat dissipation deviation duration of the current period; According to the increase in the operation time within the current operation period, accumulate and sum the heat dissipation deviation duration to obtain the maximum deviation value of the delay duration of different heat dissipation residence spaces within the current operation period; Collect the deviation distance between the installation position of the heat dissipation component and the center of the positive temperature influence position in the heat dissipation stage. According to the current deviation distance, collect the excess amount of the heat dissipation per unit time of the heat dissipation component and the real-time heat dissipation per unit time. It should be noted that the unit time is used to detect the speed parameter of the heat dissipation component, and the deviation of the collected heat dissipation amount does not collect the heat dissipation speed, in order to reflect the installation position accuracy of the current heat dissipation component. When there is a position deviation, the heat dissipation component with a high heat dissipation speed cannot fully exert its heat dissipation performance; Collect the increase in heat generation at the corresponding positive temperature influence position at the same unit time, and calculate the ratio of the increase in heat generation to the excess heat dissipation to obtain the heat value ratio; Set the maximum deviation threshold of the delay duration and the heat value ratio threshold at the same time, and compare them: It should be noted that the threshold setting is a threshold parameter artificially set by personnel in the field in actual operation in combination with historical operations, and is used to measure the qualification of the currently collected data; and the thresholds set for the high-intensity cooling period, medium-intensity cooling period, and low-intensity cooling period are different, that is, the threshold set 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; when comparing the thresholds, the threshold types are unified, but there are deviations in the actual values of the thresholds corresponding to different types of cooling periods during actual comparison; If the maximum deviation value of the delay duration in different heat dissipation residence spaces during the operation period exceeds the maximum deviation threshold of the delay duration, 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; If the maximum deviation value of the delay duration in different heat dissipation residence spaces during the operation period does not exceed the maximum deviation threshold of 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; After receiving the cooling layout optimization signal, the energy storage cooling control center adjusts the spatial volume of the cooling medium circulation channel inside the heat generation position of the flywheel energy storage system, or moves the position of the cooling medium circulation channel; subsequently, it moves the position of the heat dissipation components set inside the flywheel energy storage system; Embodiment 2 As a preferred feasible example, as Figure 2 shown, the energy storage cooling control center is communicatively connected to a cooling method adjustment unit; The cooling method adjustment unit is used to adjust the cooling method of the flywheel energy storage system, and maximally improve the cooling efficiency of the flywheel energy storage system by adjusting the cooling method, avoiding the limitations of the applicable scenarios of the cooling method, so as to be unable to cope with the current scenario and ensure the heat dissipation performance, resulting in unnecessary operation risks for the flywheel energy storage system; 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 heat generation period after the cumulative duration of the risk heat dissipation period reaches the set value; If both the cumulative duration of the risk heat dissipation period and the rising speed of the risk heat generation period 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 generation location is located is an irregular space, the cooling method is set to air cooling; when the spatial area where the heat generation location is located is large, the cooling method is set to liquid cooling, and the area is dissipated by transporting the cooling medium, and the diameter of the transport pipeline is set according to the size of the heat dissipation area; when the heat generation amount in the area where the heat generation location is located exceeds a geometric multiple of the set red line threshold, phase change materials are used, and the characteristics of phase change materials absorbing or releasing a large amount of heat during the phase change process are used to achieve cooling; If both the cumulative duration of the risk heat dissipation period and the rising speed of the risk heat generation period do not exceed the corresponding set thresholds, it is inferred that the current cooling method is normal, and the heat dissipation continues with the current cooling method.

[0024] When the present invention is in use, the energy storage operation detection module detects the operation of the flywheel energy storage system, sets corresponding numerical values for the corresponding cooperation stages according to the analysis of the cooperation stages of the internal components of the flywheel energy storage system, counts each moment of the operation period of the flywheel energy storage system, and divides the operation period into an abnormal operation period and a normal operation period according to the statistical values; the heat generation scenario analysis unit analyzes the heat generation scenarios of the flywheel energy storage system in different operation periods, and obtains various types of the operation periods according to 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.

[0025] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the present invention to the specific implementation manners. Obviously, according to the content of this specification, many modifications and changes can be made. These embodiments are selected and specifically described in this specification to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and utilize the present invention well. The present invention is only limited 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, and 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 scene analysis unit; The energy storage operation detection module performs operation detection on the flywheel energy storage system, sets the value of the corresponding coordination stage according to the coordination stage analysis of the internal components of the flywheel energy storage system, counts the operation time of the flywheel energy storage system at each moment, and divides the operation time into abnormal operation time and normal operation time according to the statistical value; 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 according to 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 process of the energy storage operation detection module is as follows: The coordination stage 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 stage is set to 1; otherwise, the current motor and flywheel operation stage is set to 0.

3. A flywheel energy storage cooling system based on a green data center according to claim 2, characterized in that: 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.

4. A flywheel energy storage cooling system based on a green data center according to claim 3, characterized in that: The operation period of the flywheel energy storage system is counted at each moment, and a binary method is used. If both the two are not 1 in the coordination stage, the value is calculated as 1, and if both are 1 in the coordination stage, the data is calculated as 10; the flywheel hardware operation analysis parameters are obtained according to the total number of moment statistics of the operation time; 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.

5. 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: Perform heating scenario analysis during normal operation and set a heating threshold. If the heating value of each position in the flywheel energy storage system exceeds the heating threshold, the corresponding position will be marked as a positive temperature affected position; otherwise, the corresponding position will be marked as a positive temperature unaffected position. Collect the floating value of the heating area at the positive temperature-affected position during the normal operation period and the reciprocating floating span of the corresponding peak value of the heating value at the positive temperature-unaffected position; If the area fluctuation value of the heating area at the positive temperature-affected position exceeds the area fluctuation threshold during the normal operation period, or the reciprocating fluctuation span of the corresponding heating value peak at the positive temperature-unaffected position exceeds the peak fluctuation threshold, the current normal operation period is marked as a risk heating period; If the area floating value of the heating zone at the positive temperature affected position during the normal operation period does not exceed the area floating threshold, and the reciprocating floating span of the corresponding heating value peak at the positive temperature unaffected position does not exceed the peak floating threshold, the current normal operation period is marked as a safe heating period.

6. A flywheel energy storage cooling system based on a green data center according to claim 5, characterized in that: Perform heating scenario analysis during abnormal operation periods: A heat dissipation speed threshold is set. 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; 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 of the heat to be dissipated, the current abnormal operation period is marked as a risk cooling period; If the speed ratio of the heating temperature rise rate and the cooling temperature decrease rate at the high cooling 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 cooling position does not exceed the growth span threshold of the heat to be dissipated, the current abnormal operation period is marked as a safe cooling period.

7. A flywheel energy storage cooling system based on a green data center according to claim 6, characterized in that: The energy storage cooling control integrates the upcoming operation time period. If the risk heating time period and the risk cooling time period are adjacent to or in the current real-time operation time period, the current real-time operation time period is marked as a high-intensity cooling time period. If the risk heating period and the safe cooling period, or the safe heating period and the risk cooling period correspond to each other or are 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 cooling 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.

8. 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: The moment when heat is generated during the operation stage of the flywheel energy storage system is the starting moment of the heat dissipation stage, and the heat dissipation stage is obtained at the current operating time; the spatial volume of the cooling medium circulation channel in the heat dissipation stage and the corresponding volume ratio of the spatial volume of the heat generation position of the flywheel energy storage system are 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 operating time in the current operating 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 operating period.

9. A flywheel energy storage cooling system based on a green data center according to claim 8, characterized in that: Collect 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, and collect the excess of the heat dissipation per unit time of the heat dissipation component and the real-time heat dissipation per unit time according to the current deviation distance; collect the heat increase corresponding to the positive temperature influence 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; At the same time, the maximum deviation threshold of the delay time and the heat value ratio threshold are set, and the thresholds set corresponding to the high-intensity cooling period, the medium-intensity cooling period, and the low-intensity cooling period are different.

10. A flywheel energy storage cooling system based on a green data center according to claim 9, characterized in that: 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.

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