Data Center Cooling System Based on Hyperbolic Cooling Tower

Abstract

Embodiments of the present application provide a data center cooling system based on a hyperbolic cooling tower. The system includes a compressor, a condenser, a primary fluorine pump, a secondary fluorine pump, a throttling device, an evaporator, and a server; the server receives data information uploaded by the compressor, the condenser, the primary fluorine pump, the secondary fluorine pump, the throttling device, and the evaporator; calculates the operating frequency of the compressor based on the data information, and controls the condenser, the primary fluorine pump, the secondary fluorine pump, and the throttling device to deliver refrigerant to the evaporator. In this way, the energy consumption of the data center is significantly reduced.

Description

Technical Field

[0001] Embodiments of the present application relate to the field of industrial cooling, and particularly to a data center cooling system based on a hyperbolic cooling tower. Background Art

[0002] According to statistics, from 2011 to 2016, the power consumption of data centers increased rapidly, growing at a rate of more than 10% per year. In 2017, the total power consumption of domestic data centers reached 130 billion kWh, while the annual power generation of the Three Gorges Dam in that year was 97.605 billion kWh. In 2018, the total power consumption of national data centers was 150 billion kWh, accounting for 2% of the total social power consumption. It is expected that by 2025, the proportion will double to reach 4.05%.

[0003] Large data centers will adopt a traditional water-side free natural cooling as the refrigeration system architecture, and this system is configured with equipment such as chillers, plate heat exchangers, cooling towers, water pumps, and cold storage tanks. In summer, the chiller provides a cold source to the data center in a mechanical refrigeration mode, in winter, the cooling tower and the plate heat exchanger provide a cold source to the data center in a water-side free natural cooling mode, and in the transitional season, the chiller, the cooling tower, and the plate heat exchanger operate jointly to provide a cold source to the data center. Based on the calculation of the high water temperature traditional water-side natural cooling refrigeration system, the PUEs of ultra-large data centers built in Beijing, Shanghai, Shenzhen, and Chengdu are 1.25, 1.30, 1.35, and 1.30 respectively, which can meet the "Guiding Opinions on Strengthening the Construction of Green Data Centers" issued by the Ministry of Industry and Information Technology. However, because the high water temperature water-side natural cooling system has been adopted, the space for further improving energy efficiency is limited, and it is difficult to meet the requirements of the PUE 1.15 and 1.25 limit values formulated in regions such as Beijing.

[0004] Based on the above situation, it is necessary to promote a new refrigeration system solution to improve the energy efficiency of data centers to match the requirements of the current environment and conform to future trends. Summary of the Invention

[0005] According to an embodiment of the present application, a data center cooling solution based on a hyperbolic cooling tower is provided.

[0006] In the first aspect of the present application, a data center cooling system based on a hyperbolic cooling tower is provided. The system includes:

[0007] A compressor, a condenser, a primary fluorine pump, a secondary fluorine pump, a throttling device, an evaporator, and a server;

[0008] The server receives the data information uploaded by the compressor, the condenser, the primary fluorine pump, the secondary fluorine pump, the throttling device, and the evaporator; calculates the operating frequency of the compressor based on the data information, and conveys the refrigerant to the evaporator through the condenser, the primary fluorine pump, the secondary fluorine pump, and the throttling device;

[0009] The condenser is used to cool the refrigerant delivered by the compressor and deliver it to the primary fluorine pump.

[0010] The primary fluorine pump is used to receive the refrigerant delivered by the condenser and deliver it to the secondary fluorine pump.

[0011] The secondary fluorine pump is used to receive the refrigerant delivered by the primary fluorine pump and deliver it to the evaporator through the throttling device.

[0012] The evaporator is used to release the refrigerant.

[0013] Further, calculating the operating frequency of the compressor based on the data information includes:

[0014] Generating an equipment operation curve based on the data information;

[0015] Determining the operating frequency of the compressor based on the operation curve and the coolant delivery amounts required in each area of the data center.

[0016] Further, determining the operating frequency of the compressor based on the operation curve and the coolant delivery amounts required in each area of the data center includes:

[0017] Determining the total coolant delivery amount based on the coolant delivery amounts required in each area of the data center;

[0018] Determining the time required for each area to complete refrigeration based on the operation curve;

[0019] Determining the operating frequency of the compressor based on the total coolant delivery amount and the time required for each area to complete refrigeration.

[0020] Further, the coolant delivery amounts required in each area of the data center are determined by the following method:

[0021] Obtaining the internal temperature and humidity, system temperature, system flow rate, and / or outdoor temperature and humidity in the area through sensors;

[0022] Determining the coolant delivery amount required in the area based on the internal temperature and humidity, system temperature, system flow rate, and / or outdoor temperature and humidity.

[0023] Further, it further includes a regional temperature monitoring module, which is specifically used for:

[0024] Obtaining the temperature value in the cooling area and uploading it to the server;

[0025] The server receives the temperature value and adjusts the refrigerant flow rate delivered to this area according to the temperature value.

[0026] Further, adjusting the refrigerant flow rate delivered to this area according to the temperature value includes:

[0027] Adjusting the refrigerant flow rate delivered to this area according to the PID logic.

[0028] Further, it further includes a compressor monitoring module, specifically for:

[0029] Monitoring the operating state of the compressor and uploading the monitoring data to the server;

[0030] The server receives the monitoring data and adjusts the frequency, flow rate, evaporation temperature, and / or condensation temperature of the compressor according to the monitoring data.

[0031] Further, monitoring the operating state of the compressor includes:

[0032] Monitoring the inlet pressure, outlet pressure, and inlet flow rate of the compressor.

[0033] Further,

[0034] The secondary fluorine pump corresponds to one or more evaporators;

[0035] The primary fluorine pump corresponds to one or more secondary fluorine pumps.

[0036] Further, it further includes an outdoor ambient temperature monitoring module, specifically for:

[0037] Obtaining the ambient temperature outside each area and uploading it to the server;

[0038] The server receives the value of the ambient temperature outside the area. If the value of the ambient temperature is lower than the threshold, the refrigerant delivery to the corresponding area is shut off.

[0039] The data center cooling system based on a hyperbolic cooling tower provided by the embodiments of the present application generates a corresponding equipment operation curve by obtaining the operation data of the equipment; determines the operating frequency of the compressor based on the operation curve and the coolant delivery amounts required by each area of the data center; and delivers coolant to each area of the data center based on the operating frequency of the compressor, greatly reducing the energy consumption of the data center.

[0040] It should be understood that the content described in the Summary of the Invention section is not intended to limit the key or important features of the embodiments of the present application, nor is it used to limit the scope of the present application. Other features of the present application will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In conjunction with the accompanying drawings and with reference to the following detailed description, the above and other features, advantages, and aspects of the embodiments of the present application will become more apparent. In the drawings, the same or similar reference numerals denote the same or similar elements, where:

[0042] Figure 1 shows an architecture diagram of a data center cooling system based on a hyperbolic cooling tower according to an embodiment of the present application;

[0043] Figure 2 shows a schematic diagram of the internal structure of a hyperbolic cooling tower data center according to an embodiment of the present application;

[0044] Figure 3 shows a flowchart of a method for implementing a data center cooling system based on a hyperbolic cooling tower according to an embodiment of the present application;

[0045] Figure 4 shows a schematic diagram of a terminal device or server suitable for implementing the embodiments of the present application. Detailed implementation manners

[0046] To make the objectives, technical solutions, and advantages of the embodiments of the present disclosure clearer, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present disclosure. Apparently, the described embodiments are some, but not all, of the embodiments of the present disclosure. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments of the present disclosure without creative efforts shall fall within the protection scope of the present disclosure.

[0047] In addition, the term "and / or" in this article is merely a description of the association relationship between associated objects, indicating that three relationships may exist. For example, A and / or B may represent: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " in this article generally represents an "or" relationship between the preceding and following associated objects.

[0048] Figure 1 shows an architecture diagram of a data center cooling system based on a hyperbolic cooling tower according to an embodiment of the present application, including a compressor, a condenser, a primary fluorine pump, a secondary fluorine pump, a throttling device, an evaporator, and a server (central control system);

[0049] wherein, the compressor is configured to deliver a refrigerant to the condenser inside the hyperbolic cooling tower;

[0050] The condenser is configured to cool the refrigerant delivered by the compressor and send it to the primary fluorine pump; it can be divided into multiple small independently openable and closable partitions according to the divided areas;

[0051] The primary fluorine pump is configured to receive the refrigerant delivered by the condenser and deliver it to the secondary fluorine pump;

[0052] The secondary fluorine pump is configured to receive the refrigerant delivered by the primary fluorine pump and deliver it to the evaporator through the throttling device;

[0053] The evaporator is configured to release the refrigerant; generally, one evaporator is provided for each refrigeration area;

[0054] The throttling device is configured to adjust the opening degree of the throttling device according to a preset PID logic, thereby affecting the refrigerant flow rate in the evaporator.

[0055] The server is connected to the above settings by wired or wireless means; it is configured to receive the data information uploaded by the compressor, condenser, primary fluorine pump, secondary fluorine pump, throttling device, and evaporator, such as the temperature information uploaded by the temperature sensor arranged at the inlet of the evaporator, the inlet pressure, outlet pressure, and inlet flow rate of the compressor uploaded by the sensor arranged on the compressor, etc.; calculate the operating frequency of the compressor based on the data information, and control the condenser, primary fluorine pump, secondary fluorine pump, and throttling device to deliver the refrigerant to the evaporator;

[0056] Further, the sensors involved in the present disclosure include:

[0057] Outdoor temperature sensor, outdoor relative humidity sensor, outdoor wind speed sensor, compressor inlet pressure sensor, compressor outlet pressure sensor, compressor inlet temperature sensor, compressor outlet temperature sensor, compressor inlet flow sensor, condenser inlet pressure sensor, condenser outlet pressure sensor, condenser inlet temperature sensor, condenser outlet temperature sensor, condenser inlet flow sensor, fluorine pump inlet pressure sensor, fluorine pump outlet pressure sensor, fluorine pump inlet temperature sensor, fluorine pump outlet temperature sensor, fluorine pump inlet flow sensor, evaporator inlet pressure sensor, evaporator outlet pressure sensor, evaporator inlet temperature sensor, evaporator outlet temperature sensor, and / or evaporator inlet flow sensor, etc.

[0058] In the present disclosure, one primary fluorine pump corresponds to multiple secondary fluorine pumps; one secondary fluorine pump corresponds to multiple evaporators.

[0059] The present disclosure is applied to a hyperbolic cooling tower. Refer to Figure 2 , Figure 2 which shows a schematic diagram of the internal structure of the data center of the hyperbolic cooling tower according to the embodiment of the present disclosure.

[0060] It should be noted that the structure of the hyperbolic cooling tower data center of the present disclosure follows the conventional hyperbolic cooling tower structure, retaining the outdoor fresh air intake, outdoor fresh air exhaust passage, and bottom water tank. An equipment foundation is set above the outdoor intake area, and necessary functional areas of the data center such as the computer room area / auxiliary area, pipeline and heat recovery system area, natural / evaporative cooling coil area, and spraying area are successively set on the equipment foundation.

[0061] Figure 3 The flowchart of the method for the data center cooling system based on the hyperbolic cooling tower according to the embodiments of the present application is shown, including:

[0062] S310, obtaining the operation data of the equipment and generating the corresponding equipment operation curve.

[0063] After the system is started and in the initial stage of operation input, the compressor, fluorine pumps (primary and secondary), and throttling devices will preferentially operate under relatively large working conditions to ensure that the system circulates within a short time, guaranteeing sufficient flow in each part, and then gradually making slow, multi-stage, and distributed adjustments according to the comparison between the set value and the actual value and the actual situation of each position, gradually reaching the system requirements and making the system in a relatively stable operating state.

[0064] In some embodiments, after the system operates normally, the operation status of each device is obtained through sensors set on each component, that is, the data information uploaded by each component, and the operation curve of each device is generated. The historical operation curves of each device are stored in the server, and based on the historical operation curves, the generated operation curve is corrected by factors such as the change in the electricity consumption structure (caused by changes in the industrial structure, technological progress, improvement of living standards, etc.), temperature, and demand-side management.

[0065] S320, determining the operating frequency of the compressor based on the operation curve and the coolant delivery amounts required in each area of the data center.

[0066] In some embodiments, based on the coolant delivery amounts required in each area of the data center, the total coolant delivery amount is determined; the coolant delivery amounts required in each area can be determined according to the indoor and outdoor environmental temperatures and the area space size within the area;

[0067] Determining the time required for each area to complete refrigeration based on the operation curve;

[0068] Based on the total coolant delivery amount and the time required for each area to complete refrigeration, the operating frequency of the compressor is determined.

[0069] S330, delivering coolant to each area of the data center based on the operating frequency of the compressor.

[0070] In some embodiments, after determining the operating frequency of the compressor, the refrigerant is delivered to the condenser inside the hyperbolic cooling tower. After being cooled by the condenser, the refrigerant flows through the primary fluorine pump. The primary fluorine pump delivers the refrigerant to the pipeline near the evaporator, and then the secondary fluorine pump installed near the evaporator or evaporator group delivers the refrigerant to each evaporator. The throttling device in front of the evaporator adjusts according to the refrigeration demand of the area where the evaporator is located and the room, allowing the refrigerant to be fully released in the evaporator and ensuring sufficient power to return to the compressor.

[0071] Further, during the operation of the system, in order to ensure the operation efficiency of the system, it is necessary to monitor the working efficiency of each component;

[0072] Specifically, during the entire refrigeration-heat dissipation cycle of the system, the temperature value uploaded by the temperature sensor set at the inlet or outlet of the evaporator (set according to the actual application scenario) is obtained in real time. The temperature value is compared with the preset threshold value to determine whether the refrigeration effect in the current area meets the refrigeration demand, and a signal is transmitted to the throttling device. The throttling device adjusts the opening degree of the throttling device according to the preset PID logic, thereby affecting the refrigerant flow rate in the evaporator. For example, if the demand is not met, the opening degree of the throttling device is increased; otherwise, the opening degree of the throttling device is reduced or closed. At this time, the server records the regulation data and related records of all evaporators, throttling devices, and secondary fluorine pumps.

[0073] In some embodiments, the server adjusts the operating frequency of the compressor according to the recorded data, that is, the server makes a comprehensive judgment based on the compressor, condenser, outdoor temperature, and equipment capacity;

[0074] Specifically, when the actual refrigeration demand of a certain evaporator is higher than the cooling capacity of the evaporator at this time, that is, when the inlet temperature or outlet temperature of the evaporator is higher than the set threshold value, the opening degree of the throttle valve at this place is preferentially increased. When it still doesn't work, the frequency of the secondary fluorine pump is increased. When the system demand still cannot be met, such as only the temperature at this evaporator does not meet the requirements, the frequency of the evaporator fan is adjusted or the central control system makes a comprehensive judgment. If the system demand still cannot be met after multiple adjustments, a fault alarm message is sent to the staff; the fault alarm message includes the location of the evaporator and the relevant data information, such as refrigeration demand, adjustment records, etc.;

[0075] When the actual refrigeration demand is less than the cooling capacity of the evaporator, reverse adjustment is made with reference to the above adjustment method.

[0076] In some embodiments, when regulating the evaporator, throttling device, and secondary fluorine pump, the server will obtain real-time data information such as the inlet pressure, outlet pressure, and inlet flow rate of the compressor, as well as operation data. According to the rated parameters (performance parameters) of the compressor and the operation data corrected by the AI algorithm, it determines whether the compressor is operating in the best state, adjusts the frequency, flow rate, evaporation temperature, and condensation temperature of the compressor to relatively low power consumption, and at the same time detects whether the compressor state is approaching the surge risk area. If necessary (when approaching), it will briefly open the hot gas bypass of the compressor and perform rapid arithmetic analysis in this interval to find the best operating state point that meets the current refrigeration demand and quickly adjust.

[0077] Furthermore, it also includes:

[0078] Based on the outdoor ambient temperature (obtained through the outdoor ambient temperature monitoring module) and the condenser opening area and heat dissipation capacity, it determines whether to increase or decrease the condenser opening area and condensation temperature;

[0079] Specifically, when the actual refrigeration demand is greater than the refrigeration capacity of the evaporator and the outdoor temperature is relatively low, it is possible to choose to close some condenser areas or lower the condensation temperature to achieve the purpose of reducing the overall system operation energy consumption. Conversely, it will be regulated in the opposite direction. The server will comprehensively judge based on the outdoor temperature, compressor load, primary fluorine pump load, and condenser opening area, and adjust the corresponding parameters to reach the optimal operating state of the system, achieving the goal of overall system energy saving.

[0080] According to the embodiments of the present application, the following technical effects are achieved:

[0081] The hyperbolic cooling tower + compressor + fluorine pump assembly refrigeration system adopted in this disclosure can effectively solve the problems of difficult regulation and control of large fluorine pump systems. At the same time, it can give full play to the functions of the hyperbolic cooling tower, improve work efficiency, reduce economic costs, and significantly reduce the energy consumption of the data center.

[0082] It should be noted that for the foregoing embodiments, for the sake of simple description, they are all expressed as a series of action combinations. However, those skilled in the art should know that the present application is not limited by the described action sequence, because according to the present application, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily essential to the present application.

[0083] Figure 4FIG. shows a schematic block diagram of an electronic device 400 that can be used to implement embodiments of the present disclosure. As shown in the figure, the device 400 includes a central processing unit (CPU) 401, which can execute various appropriate actions and processes according to computer program instructions stored in a read-only memory (ROM) 402 or computer program instructions loaded from a storage unit 408 into a random access memory (RAM) 403. In the RAM 403, various programs and data required for the operation of the device 400 can also be stored. The CPU 401, ROM 402, and RAM 403 are connected to each other via a bus 404. An input / output (I / O) interface 405 is also connected to the bus 404.

[0084] Multiple components in the device 400 are connected to the I / O interface 405, including: an input unit 406, such as a keyboard, a mouse, etc.; an output unit 407, such as various types of displays, speakers, etc.; a storage unit 408, such as a magnetic disk, an optical disc, etc.; and a communication unit 409, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 409 allows the device 400 to exchange information / data with other devices via a computer network such as the Internet and / or various telecommunication networks.

[0085] The processing unit 401 executes the various methods and processes described above. In some embodiments, part or all of the computer program can be loaded and / or installed onto the device 400 via the ROM 402 and / or the communication unit 409. When the computer program is loaded into the RAM 403 and executed by the CPU 401, one or more steps of the method 200 described above can be executed. Alternatively, in other embodiments, the CPU 401 can be configured to execute the method 200 by any other appropriate means (e.g., by means of firmware).

[0086] The functions described above herein can be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that can be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on a chip (SOCs), complex programmable logic devices (CPLDs), and so on.

[0087] The program code for implementing the methods of the present disclosure can be written in any combination of one or more programming languages. These program codes can be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing devices, such that when the program codes are executed by the processor or controller, the functions / operations specified in the flowcharts and / or block diagrams are implemented. The program codes can be executed entirely on the machine, partially on the machine, executed partially on the machine as an independent software package and partially on a remote machine, or executed entirely on a remote machine or server.

[0088] In the context of the present disclosure, a machine-readable medium can be a tangible medium that can contain or store a program for use by or in connection with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0089] Moreover, although the operations are depicted in a particular order, this should be understood as requiring that such operations be performed in the particular order shown or in sequential order, or that all illustrated operations be performed to achieve the desired result. In certain circumstances, multitasking and parallel processing may be advantageous. Similarly, although several specific implementation details are included in the above discussion, these should not be construed as limiting the scope of the present disclosure. Certain features described in the context of separate embodiments can also be implemented in combination in a single implementation. Conversely, various features described in the context of a single implementation can also be implemented separately or in any suitable sub-combination in multiple implementations.

[0090] Although the subject matter has been described in language specific to structural features and / or methodological logical acts, it should be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are merely example forms of implementing the claims.

Claims

1. A data center cooling system based on a hyperbolic cooling tower, characterized in that, Including: A compressor, a condenser, a first-stage fluorine pump, a second-stage fluorine pump, a throttling device, an evaporator, and a server; The server receives data information uploaded by the compressor, the condenser, the first-stage fluorine pump, the second-stage fluorine pump, the throttling device, and the evaporator; calculates the operating frequency of the compressor based on the data information, and controls the condenser, the first-stage fluorine pump, the second-stage fluorine pump, and the throttling device to deliver refrigerant to the evaporator; The condenser is used to cool the refrigerant delivered by the compressor and deliver it to the first-stage fluorine pump; the first-stage fluorine pump is used to receive the refrigerant delivered by the condenser and deliver it to the second-stage fluorine pump; The second-stage fluorine pump is used to receive the refrigerant delivered by the first-stage fluorine pump and deliver it to the evaporator through the throttling device; The throttling device is used to control the refrigerant flow rate delivered to the evaporator; The evaporator is used to release refrigerant; The calculating the operating frequency of the compressor based on the data information includes: The server generates an equipment operation curve based on the data information, and the equipment operation curve is an operation curve of at least one of the compressor, the condenser, and the evaporator; Determine the operating frequency of the compressor based on the operation curve and the coolant delivery amount required in each area of the data center.

2. The system according to claim 1, characterized in that The determining the operating frequency of the compressor based on the operation curve and the coolant delivery amount required in each area of the data center includes: Determine the total coolant delivery amount based on the coolant delivery amount required in each area of the data center; Determine the time required for each area to complete refrigeration based on the operation curve; Determine the operating frequency of the compressor based on the total coolant delivery amount and the time required for each area to complete refrigeration.

3. The system according to claim 2, wherein The coolant delivery amount required in each area of the data center is determined by the following method: Obtain the internal temperature and humidity, system temperature, system flow rate, and / or outdoor temperature and humidity in the area through sensors; Determine the coolant delivery amount required in the area based on the internal temperature and humidity, system temperature, system flow rate, and / or outdoor temperature and humidity.

4. The system according to claim 3, wherein It further includes a regional temperature monitoring module, specifically used for: Obtain the temperature value in the cooling area and upload it to the server; The server receives the temperature value and adjusts the refrigerant flow rate delivered to this area according to the temperature value.

5. The system according to claim 4, characterized in that, The adjusting the refrigerant flow rate delivered to this area according to the temperature value includes: Adjust the refrigerant flow rate delivered to this area according to the PID logic.

6. The system according to claim 5, wherein It further includes a compressor monitoring module, specifically used for: Monitor the operating state of the compressor and upload the monitoring data to the server; the server receives the monitoring data and adjusts the frequency, flow rate, evaporation temperature, and / or condensation temperature of the compressor according to the monitoring data.

7. The system according to claim 6, wherein The monitoring the operating state of the compressor includes: Monitor the inlet pressure, outlet pressure, and inlet flow rate of the compressor.

8. The system according to claim 7, wherein The first-stage fluorine pump corresponds to one or more second-stage fluorine pumps; The second-stage fluorine pump corresponds to one or more evaporators.

9. The system according to claim 8, wherein, It further includes an outdoor ambient temperature monitoring module, specifically used for: Obtain the ambient temperature outside each area and upload it to the server; The server receives the value of the ambient temperature outside the area. If the value of the ambient temperature is lower than the threshold, the refrigerant delivery to the corresponding area is shut off.

Images