Data Center Dual-System Heat Pipe Multi-Split Air Conditioning System and Its Control Method and Device
By acquiring and simulating the operating conditions and status parameters of a dual-system heat pipe multi-split air conditioning system in a data center, the optimal load allocation rate was calculated, solving the problem of improper load allocation in the heat pipe air conditioning system and achieving improved system energy efficiency and reduced PUE value.
Patent Information
- Application Number
- CN202211297221.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-10-21
- Publication Date
- 2025-11-14
- Estimated Expiration
- 2042-10-21
AI Technical Summary
During the transitional season, improper load distribution between the heat pipe air conditioning system and the mechanical refrigeration system in the data center may cause the mechanical refrigeration system to fail to start normally, increasing compressor power consumption and resulting in high system energy consumption, making it difficult to reduce the PUE value.
By acquiring the operating conditions and status parameters of the dual-system heat pipe multi-split air conditioning system in the data center, we conduct cooling simulation operation with different load distribution rates, calculate the optimal load distribution rate corresponding to the minimum power utilization efficiency, and adjust the system to operate at this load distribution rate in real time to ensure the reasonable distribution of load between the heat pipe and mechanical refrigeration systems.
It achieves optimal load distribution for the data center air conditioning system under different operating conditions, reduces system energy consumption, improves overall energy efficiency, and lowers the PUE value.
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Figure CN115604995B_ABST
Abstract
Description
Technical Field
[0001] This application belongs to the field of air conditioning technology, and specifically relates to a dual-system heat pipe multi-split air conditioning system for data centers and its control method and device. Background Technology
[0002] Currently, during transitional seasons, data centers often employ a hybrid cooling method, primarily using heat pipe air conditioning with mechanical refrigeration systems supplementing cooling on demand. This method effectively utilizes natural cold sources and reduces system energy consumption. However, when the supplemental cooling capacity is insufficient, the mechanical refrigeration system may fail to start due to inadequate cooling capacity. Furthermore, insufficient cooling load on the mechanical refrigeration system can increase the power consumption of equipment such as compressors.
[0003] Therefore, how to adjust the load distribution rate of heat pipe cooling and mechanical cooling to reduce the PUE value of the data center while ensuring the normal operation of the system has become an urgent problem to be solved. Summary of the Invention
[0004] The present invention aims to solve or improve at least one of the above-mentioned technical problems.
[0005] The first aspect of the present invention provides a control method for a dual-system heat pipe multi-split air conditioning system in a data center.
[0006] The second aspect of the present invention provides a control device for a dual-system heat pipe multi-split air conditioning system for a data center.
[0007] The third aspect of the present invention provides a control device for a dual-system heat pipe multi-split air conditioning system for a data center.
[0008] The fourth aspect of the present invention provides a readable storage medium.
[0009] The fifth aspect of the present invention provides a dual-system heat pipe multi-split air conditioning system for data centers.
[0010] The first aspect of this invention provides a control method for a dual-system heat pipe multi-split air conditioning system for a data center. The dual-system heat pipe multi-split air conditioning system includes at least two refrigeration systems, an indoor fan, and an outdoor fan. The at least two refrigeration systems include mechanical refrigeration systems, each including a compressor. The control method includes: acquiring operating condition parameters of the dual-system heat pipe multi-split air conditioning system during operation; acquiring state parameters of the dual-system heat pipe multi-split air conditioning system during operation; based on the operating condition parameters and state parameters, controlling the dual-system heat pipe multi-split air conditioning system to perform refrigeration simulation operation at different load distribution rates; after the refrigeration simulation operation, obtaining the compressor power, cooling capacity of each refrigeration system, indoor fan power, and outdoor fan power under different load distribution rates, and then calculating the power utilization efficiency of the dual-system heat pipe multi-split air conditioning system under different load distribution rates; determining the load distribution rate corresponding to the minimum power utilization efficiency as the optimal load distribution rate, and controlling the dual-system heat pipe multi-split air conditioning system to operate at the optimal load distribution rate.
[0011] The control method for a dual-system heat pipe multi-split air conditioning system in a data center of the present invention can detect the operating conditions and status of the dual-system heat pipe multi-split air conditioning system in real time, simulate the cooling state of the dual-system heat pipe multi-split air conditioning system in a data center with different load distribution rates, and then determine the load distribution rate corresponding to the minimum power utilization efficiency as the optimal load distribution rate. The dual-system heat pipe multi-split air conditioning system in a data center is controlled to operate at the optimal load distribution rate, thereby realizing the rational allocation of the load of the heat pipe cooling system and the mechanical cooling system, improving the overall energy efficiency of the system, and reducing the PUE value of the computer room.
[0012] In the above technical solution, at least two refrigeration systems also include heat pipe refrigeration systems; the steps for obtaining the operating condition parameters of the data center dual-system heat pipe multi-split air conditioning system include: obtaining the temperature and humidity at the air inlet of the indoor unit, obtaining the temperature and humidity at the air inlet of the outdoor fan, and obtaining the air velocity at the air inlet of the outdoor fan; the steps for obtaining the status parameters of the data center dual-system heat pipe multi-split air conditioning system include: obtaining the evaporation pressure and / or temperature of the mechanical refrigeration system and / or the heat pipe refrigeration system on the indoor side, and obtaining the condensation pressure and / or temperature of the mechanical refrigeration system and / or the heat pipe refrigeration system on the outdoor side, respectively.
[0013] In this technical solution, by acquiring parameters such as the temperature and humidity at the air inlet of the indoor fan, the temperature and humidity at the air inlet of the outdoor fan, the air velocity at the air inlet of the outdoor fan, and the evaporation pressure and / or temperature on the indoor and outdoor sides, it is possible to control the dual-system heat pipe multi-split air conditioning system of the data center to perform cooling simulation operation with different load distribution rates, thereby determining the optimal load distribution rate.
[0014] In the above technical solution, the control method of the data center dual-system heat pipe multi-split air conditioning system further includes: re-acquiring operating condition parameters and status parameters, recalculating the optimal load distribution rate, and controlling the data center dual-system heat pipe multi-split air conditioning system to operate at the recalculated optimal load distribution rate.
[0015] In this technical solution, when the system has been running for a period of time or the number of IT devices turned on changes, the optimal load distribution rate is recalculated. This allows the invention to take into account changes in outdoor environmental parameters, simulate and calculate the optimal load distribution rate of the refrigeration system under the current test conditions, and replace the optimal load distribution rate of the system simulated and calculated under the previous test conditions. This improves the system's adaptability to changes in the operating environment and ensures the optimal load distribution rate even if the number of IT devices turned on changes.
[0016] In the above technical solution, the control method of the data center dual-system heat pipe multi-split air conditioning system further includes: determining whether the cooling operation status of the data center dual-system heat pipe multi-split air conditioning system meets the optimal load allocation rate, and if not, recalculating the optimal load allocation rate and controlling the data center dual-system heat pipe multi-split air conditioning system to operate at the recalculated optimal load allocation rate.
[0017] In this technical solution, the judgment device can determine whether the cooling operation status of the dual-system heat pipe multi-split air conditioning system in the data center meets the optimal load distribution rate. If it does not meet the optimal load distribution rate, the optimal load distribution rate is recalculated and the system operates at the recalculated optimal load distribution rate. This ensures that the cooling system can operate at the optimal load distribution rate at any time.
[0018] In the above technical solution, the steps for determining whether the cooling operation status of the dual-system heat pipe multi-split air conditioning system in the data center meets the optimal load allocation rate include: obtaining the simulated state parameters of the air conditioning components when running at the optimal load allocation rate; obtaining the actual operating parameters of the air conditioning components when running at the optimal load allocation rate; and determining that the cooling operation status of the dual-system heat pipe multi-split air conditioning system in the data center does not meet the optimal load allocation rate when the simulated state parameters and the actual operating parameters do not meet the preset conditions.
[0019] In this technical solution, by judging whether the simulated state parameters of the air conditioning components during simulated operation with the optimal load allocation rate and the actual operating parameters during actual operation with the optimal load allocation rate meet the preset conditions, it is determined whether the cooling operation status of the data center dual-system heat pipe multi-split air conditioning system meets the optimal load allocation rate. If the preset conditions are not met, it means that the cooling operation status of the data center dual-system heat pipe multi-split air conditioning system does not meet the optimal load allocation rate. This allows for timely recalculation of the optimal load allocation rate, thereby ensuring real-time and reasonable allocation of the load between the heat pipe cooling system and the mechanical cooling system, improving the overall energy efficiency of the system, and reducing the PUE value of the computer room.
[0020] A second aspect of the present invention provides a control device for a dual-system heat pipe multi-split air conditioning system in a data center, comprising: an acquisition unit for acquiring operating condition parameters and status parameters of the dual-system heat pipe multi-split air conditioning system during operation; a processing unit for controlling the dual-system heat pipe multi-split air conditioning system to perform cooling simulation operation at different load allocation rates based on the operating condition parameters and status parameters; after the cooling simulation operation, obtaining the compressor power, cooling capacity of each cooling system, indoor fan power, and outdoor fan power under different load allocation rates, and then calculating the power utilization efficiency of the dual-system heat pipe multi-split air conditioning system under different load allocation rates; determining the load allocation rate corresponding to the minimum power utilization efficiency as the optimal load allocation rate, and controlling the dual-system heat pipe multi-split air conditioning system to operate at the optimal load allocation rate.
[0021] The third aspect of the present invention provides a control device for a dual-system heat pipe multi-split air conditioning system for a data center, including a storage device and a processor. The storage device stores a computer program, and when the processor executes the program, it implements the control method for the dual-system heat pipe multi-split air conditioning system for a data center as provided in any of the technical solutions of the first aspect of this application.
[0022] The fourth aspect of the present invention provides a readable storage medium on which a program or instructions are stored, and when the program or instructions are executed by a processor, a control method for a data center dual-system heat pipe multi-split air conditioning system as provided in any of the technical solutions of the first aspect of this application is implemented.
[0023] The fifth aspect of this invention provides a data center dual-system heat pipe multi-split air conditioning system, comprising: at least two refrigeration systems and an indoor fan and an outdoor fan, wherein the at least two refrigeration systems include mechanical refrigeration systems and the mechanical refrigeration systems include compressors; a control device for the data center dual-system heat pipe multi-split air conditioning system as described in the second or third aspect of this application; and / or a readable storage medium as described in the fourth aspect of this application.
[0024] In the above technical solution, at least two refrigeration systems also include heat pipe refrigeration systems. The data center dual-system heat pipe multi-split air conditioning system also includes: a condition parameter acquisition device for acquiring the temperature and humidity at the air inlet of the indoor unit, the temperature and humidity at the air inlet of the outdoor fan, and the air velocity at the air inlet of the outdoor fan; and a status parameter acquisition device for acquiring the evaporation pressure and / or temperature of the mechanical refrigeration system and / or heat pipe refrigeration system on the indoor side, and the condensation pressure and / or temperature of the mechanical refrigeration system and / or heat pipe refrigeration system on the outdoor side.
[0025] In this technical solution, the indoor and outdoor air temperature and humidity, as well as the outdoor wind speed, are used as the initial values of the unit model's operating conditions. The evaporation pressure and / or temperature of the mechanical refrigeration system and / or heat pipe refrigeration system on the indoor and outdoor sides are used as the initial values of the unit model's operating state. The unit model simulates different system load distribution rates and then determines the optimal load distribution rate.
[0026] Additional aspects and advantages of the invention will become apparent in the following description or may be learned by practice of the invention. Attached Figure Description
[0027] Figure 1 A control flowchart of a control method for a data center dual-system heat pipe multi-split air conditioning system provided by an embodiment of the present invention is shown.
[0028] Figure 2 A block diagram of a control device for a data center dual-system heat pipe multi-split air conditioning system provided in an embodiment of the present invention is shown.
[0029] Figure 3 A block diagram of another control device for a data center dual-system heat pipe multi-split air conditioning system provided in an embodiment of the present invention is shown;
[0030] Figure 4 The control principle diagram of the control method for a data center dual-system heat pipe multi-split air conditioning system provided in an embodiment of the present invention is shown.
[0031] Figure 5 A control flowchart of a control method for a data center dual-system heat pipe multi-split air conditioning system provided in another embodiment of the present invention is shown.
[0032] in, Figures 2 to 4 The correspondence between component names and their designations is as follows:
[0033] 11 Compressor, 12 First condenser, 13 Expansion valve, 14 First evaporator, 21 Second condenser, 22 Second evaporator, 3 Indoor fan, 41 First outdoor fan, 42 Second outdoor fan, 5 Control device for data center dual-system heat pipe multi-split air conditioning system, 52 Processing unit, 54 Acquisition unit, 56 Storage, 58 Processor, 61 First temperature and humidity sensor, 62 Second temperature and humidity sensor, 63 Third temperature and humidity sensor, 71 First temperature sensor, 72 Second temperature sensor, 73 Fifth temperature sensor, 74 Sixth temperature sensor, 81 First wind speed sensor, 82 Second wind speed sensor, 91 First pressure sensor, 92 Second pressure sensor. Detailed Implementation
[0034] To better understand the above aspects, features, and advantages of the embodiments of the present invention, the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be noted that, unless otherwise specified, the embodiments and features described in these embodiments can be combined with each other.
[0035] Many specific details are set forth in the following description in order to provide a full understanding of the embodiments of the present invention. However, the embodiments of the present invention may also be implemented in other ways different from those described herein. Therefore, the protection provided by the embodiments of the present invention is not limited to the specific embodiments disclosed below.
[0036] Example 1
[0037] like Figure 1 As shown, the first aspect of the present invention is to provide a control method for a dual-system heat pipe multi-split air conditioning system for a data center. The dual-system heat pipe multi-split air conditioning system for a data center includes at least two refrigeration systems, an indoor fan, and an outdoor fan. The at least two refrigeration systems include mechanical refrigeration systems, each including a compressor. The control method for the dual-system heat pipe multi-split air conditioning system for a data center includes the following steps:
[0038] S102: Obtain the operating condition parameters of the dual-system heat pipe multi-split air conditioning system in the data center during operation;
[0039] S104: Obtain the status parameters of the data center dual-system heat pipe multi-split air conditioning system during operation;
[0040] S106: Based on operating condition parameters and status parameters, control the dual-system heat pipe multi-split air conditioning system of the data center to perform cooling simulation operation with different load distribution rates;
[0041] S108: After the refrigeration simulation operation, the compressor power, cooling capacity of each refrigeration system, indoor fan power, and outdoor fan power under different load distribution rates are obtained. Then, the power utilization efficiency of the data center dual-system heat pipe multi-split air conditioning system under different load distribution rates is calculated.
[0042] S110: Determine the load allocation rate corresponding to the minimum power utilization efficiency as the optimal load allocation rate, and control the data center dual-system heat pipe multi-split air conditioning system to operate at the optimal load allocation rate.
[0043] The control method for a dual-system heat pipe multi-split air conditioning system in a data center according to the present invention firstly initiates a hybrid cooling mode in the dual-system heat pipe multi-split air conditioning system, detects the operating condition parameters and status parameters of the dual-system heat pipe multi-split air conditioning system during operation, and controls the dual-system heat pipe multi-split air conditioning system to perform cooling simulation operation at different load allocation rates based on the operating condition parameters and status parameters. After the cooling simulation operation, the compressor power, cooling capacity of each cooling system, indoor fan power, and outdoor fan power under different load allocation rates are obtained, and the power utilization efficiency (PUE) of the dual-system heat pipe multi-split air conditioning system under different load allocation rates in this operating condition is calculated. The PUE has a minimum value as it changes with different load allocation rates. The load allocation rate corresponding to the minimum PUE value is taken as the optimal load allocation rate of the unit under this operating condition, and the dual-system heat pipe multi-split air conditioning system is controlled to operate at the optimal load allocation rate. The data center dual-system heat pipe multi-split air conditioning system provided by this invention can monitor the operating conditions and status of the data center dual-system heat pipe multi-split air conditioning system in real time, simulate the cooling state of the data center dual-system heat pipe multi-split air conditioning system under different load distribution rates, and then determine the load distribution rate corresponding to the minimum power utilization efficiency as the optimal load distribution rate. The system is then controlled to operate at the optimal load distribution rate, thereby achieving reasonable allocation of the load between the heat pipe cooling system and the mechanical cooling system, improving the overall energy efficiency of the system, and reducing the PUE value of the computer room.
[0044] In the above embodiments, at least two refrigeration systems also include heat pipe refrigeration systems. The temperature and humidity at the air inlet of the indoor unit, the temperature and humidity at the air inlet of the outdoor fan, and the air velocity at the air inlet of the outdoor fan are obtained as operating condition parameters for the dual-system heat pipe multi-split air conditioning system of the data center. The evaporation pressure and / or temperature of the mechanical refrigeration system and / or the heat pipe refrigeration system on the indoor side, and the condensation pressure and / or temperature of the mechanical refrigeration system and / or the heat pipe refrigeration system on the outdoor side are obtained as state parameters for the dual-system heat pipe multi-split air conditioning system of the data center. In this way, by obtaining parameters such as the temperature and humidity at the air inlet of the indoor fan, the temperature and humidity at the air inlet of the outdoor fan, the air velocity at the air inlet of the outdoor fan, and the evaporation pressure and / or temperature on the indoor side, the dual-system heat pipe multi-split air conditioning system of the data center can be controlled to perform refrigeration simulation operation with different load distribution rates, thereby determining the optimal load distribution rate.
[0045] In the above embodiments, when the system has been running for a period of time or the number of IT devices turned on changes, the data center dual-system heat pipe multi-split air conditioning system can reacquire operating parameters and status parameters, recalculate the optimal load allocation rate, and control the data center dual-system heat pipe multi-split air conditioning system to operate at the recalculated optimal load allocation rate. This allows the invention to take into account changes in outdoor environmental parameters, simulate and calculate the optimal load allocation rate of the cooling system under the current testing conditions, and replace the optimal load allocation rate simulated and calculated under the previous testing conditions. This improves the system's adaptability to changes in the operating environment, ensuring the optimal load allocation rate even if the number of IT devices turned on changes.
[0046] In the above embodiments, it is also possible to determine whether the cooling operation status of the dual-system heat pipe multi-split air conditioning system in the data center meets the optimal load allocation rate. When the cooling operation status of the dual-system heat pipe multi-split air conditioning system in the data center does not meet the optimal load allocation rate, the optimal load allocation rate is recalculated and the system operates with the recalculated optimal load allocation rate. This ensures that the cooling system can work with the optimal load allocation rate at any time.
[0047] In the above embodiments, by judging whether the simulated state parameters of the air conditioning components during simulated operation with the optimal load allocation rate and the actual operating parameters during actual operation with the optimal load allocation rate meet the preset conditions, it is determined whether the cooling operation status of the data center dual-system heat pipe multi-split air conditioning system meets the optimal load allocation rate. If the preset conditions are not met, it indicates that the cooling operation status of the data center dual-system heat pipe multi-split air conditioning system does not meet the optimal load allocation rate. This allows for timely recalculation of the optimal load allocation rate, thereby ensuring real-time and reasonable allocation of the load of the heat pipe cooling system and the mechanical cooling system, improving the overall energy efficiency of the system, and reducing the PUE value of the computer room.
[0048] like Figure 2 As shown, an embodiment of the second aspect of the present invention provides a control device 5 for a data center dual-system heat pipe multi-split air conditioning system, including an acquisition unit 54 and a processing unit 52. The acquisition unit 54 is used to acquire the operating condition parameters and status parameters of the data center dual-system heat pipe multi-split air conditioning system during operation. The processing unit 52 is able to control the data center dual-system heat pipe multi-split air conditioning system to perform cooling simulation operation with different load distribution rates based on the operating condition parameters and status parameters. After the cooling simulation operation, the power of compressor 11, the cooling capacity of each cooling system, the power of indoor fan 3, and the power of outdoor fan under different load distribution rates are obtained. Then, the power utilization efficiency of the data center dual-system heat pipe multi-split air conditioning system under different load distribution rates is calculated. The load distribution rate corresponding to the minimum power utilization efficiency is determined as the optimal load distribution rate, and the data center dual-system heat pipe multi-split air conditioning system is controlled to operate at the optimal load distribution rate.
[0049] like Figure 3 As shown, the third aspect of the present invention provides a control device 5 for a data center dual-system heat pipe multi-split air conditioning system, including a storage 56 and a processor 58. The storage 56 stores a computer program, and the processor 58 executes the program to implement the control method for the data center dual-system heat pipe multi-split air conditioning system as provided in any embodiment of the first aspect of this application.
[0050] The fourth aspect of the present invention provides a readable storage medium on which a program or instructions are stored, which, when executed by a processor 58, implement a control method for a data center dual-system heat pipe multi-split air conditioning system as provided in any embodiment of the first aspect of this application.
[0051] The fifth aspect of the present invention provides a data center dual-system heat pipe multi-split air conditioning system including at least two refrigeration systems, an indoor fan 3 and an outdoor fan, the at least two refrigeration systems including a mechanical refrigeration system, the mechanical refrigeration system including a compressor 11, and further including a control device 5 of the data center dual-system heat pipe multi-split air conditioning system as described in the second or third aspect of the present application; and / or a readable storage medium as described in the fourth aspect of the present application.
[0052] Furthermore, such as Figure 4As shown, the present invention provides a data center dual-system heat pipe multi-split air conditioning system, which also includes a condition parameter acquisition device, a status parameter acquisition device, a simulation operation device, and a control device 5 for the data center dual-system heat pipe multi-split air conditioning system. At least two refrigeration systems include a mechanical refrigeration system and a heat pipe refrigeration system. The mechanical refrigeration system includes a compressor 11, a first evaporator 14, an expansion valve 13, and a first condenser 12. Thus, the first evaporator 14, the expansion valve 13, the first condenser 12, and the compressor 11 form a compressor refrigeration circuit. The heat pipe refrigeration system includes a second evaporator 22 and a second condenser 21. Thus, the second evaporator 22 and the second condenser 21 constitute a heat pipe refrigeration circuit to achieve different modes of refrigeration. The outdoor fan consists of a first outdoor fan 41 and a second outdoor fan 42. The first outdoor fan 41 dissipates heat from the first condenser 12, increasing the cooling efficiency of the mechanical refrigeration system. The second outdoor fan 42 dissipates heat from the second condenser 21, increasing the cooling efficiency of the heat pipe refrigeration system. The first evaporator 14 and the second evaporator 22 are connected by a heat pipe, forming a heat pipe auxiliary circuit to transfer the cooling capacity generated by the mechanical refrigeration system to the second evaporator 22. This transfers the cooling energy generated by the compressor 11 refrigeration system to the second evaporator 22, thereby increasing the indoor cooling efficiency. In other words, the second evaporator 22 acts as a terminal heat exchanger for the air conditioner, thus increasing the indoor cooling capacity. The operating parameter acquisition device includes a first temperature and humidity sensor 61, a second temperature and humidity sensor 62, and a third temperature and humidity sensor 63. The first temperature and humidity sensor 61 is installed at the air inlet of the indoor fan 3 to acquire the temperature and humidity at the air inlet of the indoor fan 3. The second temperature and humidity sensor 62 is installed at the inlet of the first outdoor fan 41 to acquire the temperature and humidity at the air inlet of the first outdoor fan 41. The third temperature and humidity sensor 63 is installed at the air inlet of the second outdoor fan 42 to acquire the temperature and humidity at the air inlet of the second outdoor fan 42. Thus, the indoor and outdoor air temperature and humidity can be detected by the first temperature and humidity sensor 61, the second temperature and humidity sensor 62, and the third temperature and humidity sensor 63. In other words, the temperature and humidity detected by the first temperature and humidity sensor 61 are the indoor temperature and humidity, while the temperature and humidity detected by the second temperature and humidity sensor 62 and the third temperature and humidity sensor 63 are the outdoor temperature and humidity. Furthermore, the operating condition parameter acquisition device also includes a first wind speed sensor 81 and a second wind speed sensor 82. The first wind speed sensor 81 is used to measure the wind speed of the first outdoor fan 41, and the second wind speed sensor 82 is used to measure the wind speed of the second outdoor fan 42. In this way, the outdoor wind speed can be accurately measured based on the first wind speed sensor 81 and the second wind speed sensor 82.The state parameter acquisition device includes a first temperature sensor 71 and a first pressure sensor 91, both located at the inlet of the first evaporator 14, for acquiring the temperature and / or pressure of the condensate at the inlet of the first evaporator 14, and then obtaining the evaporation temperature and / or pressure of the mechanical refrigeration system based on the acquired temperature and / or pressure of the condensate at the inlet of the first evaporator 14; the state parameter acquisition device also includes a second temperature sensor 72 and a second pressure sensor 92, both located at the outlet of the first condenser 12, for acquiring the temperature and / or pressure of the condensate at the outlet of the first condenser 12, and then determining the condensation temperature and / or pressure of the mechanical refrigeration system; the state parameter acquisition device also includes a third temperature sensor and a third pressure sensor, both located at the outlet of the second condenser 21, for acquiring the condensation temperature and / or pressure of the heat pipe refrigeration system; the state parameter acquisition device also includes a fourth temperature sensor and / or a fourth pressure sensor, both located at the inlet of the second evaporator 22, for acquiring the evaporation temperature and / or pressure of the heat pipe refrigeration system. This allows for the determination of the evaporation pressure and / or temperature of the mechanical refrigeration system and / or heat pipe refrigeration system on the indoor side, and the condensation pressure and / or temperature of the mechanical refrigeration system and / or heat pipe refrigeration system on the outdoor side, using multiple temperature sensors and / or multiple pressure sensors. The simulation operation device is connected to the operating condition parameter acquisition device and the status parameter acquisition device, and is used to perform refrigeration simulation operation with different load distribution rates based on the acquired operating condition parameters and status parameters. The control device 5 of the data center dual-system heat pipe multi-split air conditioning system is connected to the simulation operation device, and is used to control the simulation operation device to perform refrigeration simulation operation with different load distribution rates based on the acquired operating condition parameters and status parameters. That is, the control device 5 of the data center dual-system heat pipe multi-split air conditioning system can determine the evaporation pressure and / or temperature of the mechanical refrigeration system and / or heat pipe refrigeration system based on the temperature and humidity at the air inlet of the indoor fan 3, the temperature and humidity at the air inlet of the first outdoor fan 41 and the second outdoor fan 42, and the temperature and humidity at the air inlet of the first outdoor fan 41 and the second outdoor fan 42. The air inlet velocity at the air inlets of the outdoor fan 41 and the second outdoor fan 42, the evaporation pressure and / or temperature of the mechanical refrigeration system and / or heat pipe refrigeration system on the indoor side, and the condensation pressure and / or temperature of the mechanical refrigeration system and / or heat pipe refrigeration system on the outdoor side are used to control the dual-system heat pipe multi-split air conditioning system of the data center to perform refrigeration simulation operation under different load distribution rates. Based on the operation results of the simulation operation device, the power of compressor 11, the cooling capacity of the mechanical refrigeration system and / or heat pipe refrigeration system, the power of indoor fan 3, and the power of the first outdoor fan 41 and the second outdoor fan 42 under different load distribution rates are obtained. Then, the power utilization efficiency of the dual-system heat pipe multi-split air conditioning system of the data center under different load distribution rates is calculated. The load distribution rate corresponding to the minimum power utilization efficiency is determined as the optimal load distribution rate, and the dual-system heat pipe multi-split air conditioning system of the data center is controlled to operate at the optimal load distribution rate.
[0053] The data center dual-system heat pipe multi-split air conditioning system provided by this invention can monitor the operating conditions and status of the data center dual-system heat pipe multi-split air conditioning system in real time, simulate the cooling state of the data center dual-system heat pipe multi-split air conditioning system under different load distribution rates, and then determine the load distribution rate corresponding to the minimum power utilization efficiency as the optimal load distribution rate. The system is then controlled to operate at the optimal load distribution rate, thereby achieving reasonable allocation of the load between the heat pipe cooling system and the mechanical cooling system, improving the overall energy efficiency of the system, and reducing the PUE value of the computer room.
[0054] In the above embodiments, the first condenser 12 and the second condenser 21 are finned tube heat exchangers, but they can also be other types of heat exchangers.
[0055] In the above embodiments, the first evaporator 14 includes a shell-and-tube heat exchanger, but it can also be other types of heat exchangers, such as plate heat exchangers.
[0056] In the above embodiments, the data center dual-system heat pipe multi-split air conditioning system further includes a judgment device connected to the control device 5 of the data center dual-system heat pipe multi-split air conditioning system. This device determines whether the cooling operation state of the data center dual-system heat pipe multi-split air conditioning system meets the optimal load allocation rate. When the cooling operation state of the data center dual-system heat pipe multi-split air conditioning system does not meet the optimal load allocation rate, the control device 5 can control the simulation operation device to re-perform cooling simulation operations with different load allocation rates, re-determine the optimal load allocation rate, and control the data center dual-system heat pipe multi-split air conditioning system to operate at the recalculated optimal load allocation rate. The data center dual-system heat pipe multi-split air conditioning system of the present invention uses the judgment device to determine whether the cooling operation state of the data center dual-system heat pipe multi-split air conditioning system meets the optimal load allocation rate. If it does not meet the optimal load allocation rate, the system recalculates the optimal load allocation rate and operates at the recalculated optimal load allocation rate. This ensures that the cooling system can operate at the optimal load allocation rate at any time.
[0057] In the above embodiments, the determining device can determine whether the cooling operation status of the data center dual-system heat pipe multi-split air conditioning system meets the optimal load allocation rate based on the preset relationship between the simulated state parameters of the air conditioning components during simulated operation with the optimal load allocation rate and the actual operating parameters of the air conditioning components during actual operation with the optimal load allocation rate. If the preset conditions are not met, it indicates that the cooling operation status of the data center dual-system heat pipe multi-split air conditioning system does not meet the optimal load allocation rate. This allows for timely recalculation of the optimal load allocation rate, thereby ensuring real-time and reasonable allocation of the load of the heat pipe cooling system and the mechanical cooling system, improving the overall energy efficiency of the system, and reducing the PUE value of the computer room.
[0058] Furthermore, a fifth temperature sensor 73 is also provided in the heat pipe auxiliary circuit, which is connected to the inlet of the first evaporator 14 to detect the temperature of the refrigerant in the heat pipe auxiliary circuit. A sixth temperature sensor 74 is also provided in the compressor 11 refrigeration circuit, which is connected to the outlet of the first evaporator 14 to detect the temperature of the refrigerant in the second circuit. This allows for an accurate assessment of the heat exchange capacity.
[0059] like Figure 5 As shown in this embodiment, the control method for a data center dual-system heat pipe multi-split air conditioning system includes the following steps:
[0060] S202: The data center's dual-system heat pipe multi-split air conditioning system has entered hybrid cooling mode;
[0061] S204: Detect the temperature and humidity at the air inlet of the indoor fan, as well as the temperature, humidity and wind speed at the air inlets of the first and second outdoor fans, the evaporation pressure and / or temperature of the indoor evaporator, the condensation pressure and / or temperature of the first and second condensers, and the number of IT devices turned on.
[0062] S206: Input the detected values into the simulation operation device, and calculate the unit's performance parameters under different refrigerant distribution rates through the control device;
[0063] S208: Calculate the PUE value of the data center under different refrigerant allocation rates, and take the load allocation rate corresponding to the minimum value as the optimal load allocation rate under this operating condition;
[0064] S210: When the system runs for a preset time or the number of IT devices turned on changes, re-detect the evaporation pressure and / or temperature, condensation pressure and / or temperature, air temperature and humidity in the computer room, air temperature and humidity and wind speed on the outside, re-simulate and calculate the optimal load distribution rate under this operating condition, and replace the previous load distribution rate.
[0065] S212: Determine whether the data center dual-system heat pipe multi-split air conditioning system is operating at the optimal load distribution rate; if yes, execute S214; if no, execute S210.
[0066] S214: The data center dual-system heat pipe multi-split air conditioning system shall continue to operate according to the current settings.
[0067] The present invention discloses a control method for a dual-system heat pipe multi-split air conditioning system in a data center. The system initiates a mixed cooling mode, detects the indoor and outdoor air inlet temperature and humidity, the evaporation pressure and / or temperature of the indoor evaporator, and the condensation pressure and / or temperature of the first and second condensers. These detected values are transmitted to a simulation operating device. The indoor and outdoor air temperature and humidity, as well as the outdoor air inlet wind speed, are used as the initial operating conditions of the simulation operating device. The evaporation pressure and / or temperature of the indoor evaporator and the condensation pressure and / or temperature of the first and second outdoor condensers are used as the initial operating conditions of the unit model. The unit model simulates different system load distribution rates. The simulation operating device obtains the compressor power, mechanical refrigeration system cooling capacity, heat pipe system cooling capacity, and indoor and outdoor fan power at different load distribution rates. The power utilization efficiency (PUE) of the dual-system heat pipe multi-split air conditioning system under this operating condition at different load distribution rates is calculated. The PUE exhibits a minimum value as it changes with different load distribution rates; the load distribution rate corresponding to the minimum PUE value is taken. The load allocation rate is the optimal load distribution rate of the unit under this operating condition. When the preset system operation time or the number of IT devices turned on changes, the indoor and outdoor air inlet temperature and humidity, outdoor air inlet wind speed, indoor heat exchanger evaporation pressure and / or temperature, and two outdoor heat exchangers condensation pressure and / or temperature are re-detected. The data center dual-system heat pipe multi-split air conditioning system is simulated and calculated again to obtain the optimal load allocation rate of the data center dual-system heat pipe multi-split air conditioning system under the detected operating condition, and replaces the previously calculated optimal load allocation rate of the data center dual-system heat pipe multi-split air conditioning system. The optimal load allocation rate of the data center dual-system heat pipe multi-split air conditioning system is updated in real time, so that the data center dual-system heat pipe multi-split air conditioning system can adapt to any operating condition. During the operation at the optimal load allocation rate, the refrigerant flow rate of the cooling system is detected to determine whether the cooling operation time of the data center dual-system heat pipe multi-split air conditioning system has reached the optimal load allocation rate. If the optimal load allocation rate is reached, the system operates according to the current operating parameters of the data center dual-system heat pipe multi-split air conditioning system; otherwise, the detection is repeated.
[0068] Additional aspects and advantages of the invention will become apparent in the following description or may be learned by practice of the invention.
Claims
1. A control method for a dual-system heat pipe multi-split air conditioning system in a data center, characterized in that, The data center dual-system heat pipe multi-split air conditioning system includes at least two cooling systems, an indoor fan, and an outdoor fan. The at least two cooling systems include mechanical cooling systems, each including a compressor. The control method for the data center dual-system heat pipe multi-split air conditioning system includes: Obtain the operating parameters of the dual-system heat pipe multi-split air conditioning system in the data center during operation; Obtain the running status parameters of the dual-system heat pipe multi-split air conditioning system in the data center; Based on the operating parameters and the status parameters, the data center dual-system heat pipe multi-split air conditioning system is controlled to perform cooling simulation operation with different load distribution rates; After the cooling simulation operation, the compressor power, cooling capacity of each cooling system, indoor fan power, and outdoor fan power under different load distribution rates are obtained. Then, the power utilization efficiency of the data center dual-system heat pipe multi-split air conditioning system under different load distribution rates is calculated. The load allocation rate corresponding to the minimum power utilization efficiency is determined as the optimal load allocation rate, and the data center dual-system heat pipe multi-split air conditioning system is controlled to operate at the optimal load allocation rate. At least two of the aforementioned refrigeration systems also include a heat pipe refrigeration system; The steps for obtaining the operating parameters of the dual-system heat pipe multi-split air conditioning system in the data center include: obtaining the temperature and humidity at the air inlet of the indoor fan, obtaining the temperature and humidity at the air inlet of the outdoor fan, and obtaining the air intake speed at the air inlet of the outdoor fan. The steps for obtaining the operational status parameters of the dual-system heat pipe multi-split air conditioning system in the data center include: obtaining the evaporation pressure and / or temperature of the mechanical refrigeration system and / or the heat pipe refrigeration system on the indoor side, and obtaining the condensation pressure and / or temperature of the mechanical refrigeration system and / or the heat pipe refrigeration system on the outdoor side, respectively. The mechanical refrigeration system further includes a first evaporator, an expansion valve, and a first condenser. The first evaporator, expansion valve, first condenser, and compressor form a compressor refrigeration circuit. The heat pipe refrigeration system includes a second evaporator and a second condenser. The second evaporator and the second condenser form a heat pipe refrigeration circuit. The outdoor fan consists of a first outdoor fan and a second outdoor fan. The first outdoor fan is used to dissipate heat from the first condenser, and the second outdoor fan is used to dissipate heat from the second condenser. The first evaporator and the second evaporator are connected by a heat pipe. The first evaporator and the second evaporator form a heat pipe auxiliary circuit to deliver the cooling capacity generated by the mechanical refrigeration system to the second evaporator.
2. The control method for a data center dual-system heat pipe multi-split air conditioning system according to claim 1, characterized in that, Also includes: The operating parameters and status parameters are reacquired, and the optimal load allocation rate is recalculated. The data center dual-system heat pipe multi-split air conditioning system is then controlled to operate at the recalculated optimal load allocation rate.
3. The control method for a data center dual-system heat pipe multi-split air conditioning system according to claim 1, characterized in that, Also includes: Determine whether the cooling operation status of the data center dual-system heat pipe multi-split air conditioning system meets the optimal load allocation rate. If not, recalculate the optimal load allocation rate and control the data center dual-system heat pipe multi-split air conditioning system to operate at the recalculated optimal load allocation rate.
4. The control method for a data center dual-system heat pipe multi-split air conditioning system according to claim 3, characterized in that, The steps for determining whether the cooling operation status of the data center dual-system heat pipe multi-split air conditioning system meets the optimal load distribution rate include: Obtain the simulation state parameters of the air conditioning component during simulated operation at the optimal load distribution rate; Obtain the actual operating parameters of the air conditioning component when it is actually running at the optimal load distribution rate; When the simulated state parameters and the actual operating parameters do not meet the preset conditions, it is determined that the cooling operation state of the data center dual-system heat pipe multi-split air conditioning system does not meet the optimal load distribution rate.
5. A control device for a dual-system heat pipe multi-split air conditioning system in a data center, characterized in that, include: The acquisition unit is used to acquire the operating condition parameters and status parameters of the dual-system heat pipe multi-split air conditioning system in the data center during operation; The processing unit, based on the operating parameters and the status parameters, controls the data center dual-system heat pipe multi-split air conditioning system to perform cooling simulation operation under different load allocation rates; after the cooling simulation operation, it obtains the compressor power, cooling capacity of each cooling system, indoor fan power, and outdoor fan power under different load allocation rates, and then calculates the power utilization efficiency of the data center dual-system heat pipe multi-split air conditioning system under different load allocation rates; the load allocation rate corresponding to the minimum power utilization efficiency is determined as the optimal load allocation rate, and the data center dual-system heat pipe multi-split air conditioning system is controlled to operate at the optimal load allocation rate; The data center dual-system heat pipe multi-split air conditioning system includes at least two refrigeration systems, an indoor fan, and an outdoor fan. The at least two refrigeration systems include mechanical refrigeration systems, each of which includes a compressor. The at least two refrigeration systems also include heat pipe refrigeration systems. The acquisition unit is specifically used to acquire the temperature and humidity at the air inlet of the indoor fan, the temperature and humidity at the air inlet of the outdoor fan, and the air intake speed at the air inlet of the outdoor fan. The evaporation pressure and / or temperature of the mechanical refrigeration system and / or the heat pipe refrigeration system on the indoor side are obtained respectively, and the condensation pressure and / or temperature of the mechanical refrigeration system and / or the heat pipe refrigeration system on the outdoor side are obtained respectively. The mechanical refrigeration system further includes a first evaporator, an expansion valve, and a first condenser. The first evaporator, expansion valve, first condenser, and compressor form a compressor refrigeration circuit. The heat pipe refrigeration system includes a second evaporator and a second condenser. The second evaporator and the second condenser form a heat pipe refrigeration circuit. The outdoor fan consists of a first outdoor fan and a second outdoor fan. The first outdoor fan is used to dissipate heat from the first condenser, and the second outdoor fan is used to dissipate heat from the second condenser. The first evaporator and the second evaporator are connected by a heat pipe. The first evaporator and the second evaporator form a heat pipe auxiliary circuit to deliver the cooling capacity generated by the mechanical refrigeration system to the second evaporator.
6. A control device for a dual-system heat pipe multi-split air conditioning system in a data center, characterized in that, include: A storage device and a processor, wherein the storage device stores a computer program, and the processor executes the program to implement the control method for a data center dual-system heat pipe multi-split air conditioning system as described in any one of claims 1 to 4.
7. A readable storage medium, characterized in that, The readable storage medium stores a program or instructions that, when executed by a processor, implement the control method for a data center dual-system heat pipe multi-split air conditioning system as described in any one of claims 1 to 4.
8. A dual-system heat pipe multi-split air conditioning system for a data center, characterized in that, include: At least two refrigeration systems, an indoor fan, and an outdoor fan, wherein at least two of the refrigeration systems include mechanical refrigeration systems, and the mechanical refrigeration systems include compressors; The control device for a data center dual-system heat pipe multi-split air conditioning system as described in claim 5 or 6; and / or the readable storage medium as described in claim 7.
9. The data center dual-system heat pipe multi-split air conditioning system according to claim 8, characterized in that, At least two of the aforementioned cooling systems also include heat pipe cooling systems, and the data center dual-system heat pipe multi-split air conditioning system further includes: Operating parameter acquisition device, used to acquire the temperature and humidity at the air inlet of the indoor unit, the temperature and humidity at the air inlet of the outdoor fan, and the air velocity at the air inlet of the outdoor fan; A wind speed state parameter acquisition device is used to acquire the evaporation pressure and / or temperature of the mechanical refrigeration system and / or the heat pipe refrigeration system on the indoor side, and the condensation pressure and / or temperature of the mechanical refrigeration system and / or the heat pipe refrigeration system on the outdoor side.
Citation Information
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