Communication machine room performance evaluation method and device and electronic equipment

Abstract

The invention provides a communication machine room performance evaluation method and device and electronic equipment. In the scheme, a liquid cooling cabinet heat exchange model is established based on convective heat exchange process parameters between a server and a cooling liquid in a liquid cooling cabinet; according to heat exchange process parameters and flow distribution process parameters between cooling liquid in the cooling capacity distribution unit and cooling water in the cooling capacity distribution unit, a heat exchange model of the cooling capacity distribution unit is established; establishing a cooling tower heat exchange model according to the heat exchange process parameters of cooling water and air in the cooling tower; and establishing an immersed liquid cooling system model based on the three models, evaluating the comprehensive performance of the liquid cooling data center by using the immersed liquid cooling system model to obtain a performance evaluation result of the liquid cooling data center, and monitoring the cooling efficiency of the liquid cooling data center by using the performance evaluation result. According to the scheme, the problem that a method for evaluating the comprehensive performance of the liquid cooling data center has limitation, including inaccurate and incomplete evaluation, is solved.

Description

Technical Field

[0001] The present application relates to the field of liquid-cooled data centers, and in particular to a communication room performance evaluation method, a communication room performance evaluation device, and electronic equipment. Background Art

[0002] Data centers are buildings housing a collection of computing and storage devices. The high density of electronic components and the specialized heat dissipation requirements inherent in these devices make their cooling systems distinct from traditional process-based air conditioning systems. Data center cooling systems are unique in terms of reliability requirements and system load. Existing data center air conditioning systems can be primarily categorized as air systems, liquid cooling systems, and complex systems that combine the former. As heat density increases, the advantages of liquid cooling are becoming increasingly apparent, offering lower Power Usage Effectiveness (PUE), reduced noise, and a smaller system footprint.

[0003] The existing technology uses a single indicator such as PUE to evaluate the performance of liquid-cooled data centers from a macro-energy consumption perspective, which has limitations and lacks an accurate, comprehensive and systematic evaluation method for liquid-cooled data centers. Summary of the Invention

[0004] The main purpose of this application is to provide a communication room performance evaluation method, a communication room performance evaluation device and an electronic device, so as to at least solve the problem that the methods for evaluating the comprehensive performance of liquid-cooled data centers in the prior art have limitations, including inaccurate and incomplete evaluation.

[0005] In order to achieve the above-mentioned purpose, according to one aspect of the present application, a method for evaluating the performance of a communication room is provided, wherein the communication room includes a liquid-cooled data center, comprising: establishing a liquid-cooled cabinet heat exchange model using a lumped parameter method based on the convection heat transfer process parameters between the server and the coolant in the liquid-cooled cabinet; establishing a coolant distribution unit heat exchange model based on the heat exchange process parameters and flow distribution process parameters between the coolant in the coolant distribution unit and the cooling water in the coolant distribution unit, wherein the coolant in the coolant distribution unit originates from the coolant in the liquid-cooled cabinet, and the coolant in the coolant distribution unit is the coolant in the liquid-cooled cabinet. The cooling water in the element comes from the cooling water in the cooling tower; according to the heat exchange process parameters of the cooling water and air in the cooling tower, the efficiency-heat transfer unit method is used to establish a cooling tower heat exchange model; based on the liquid-cooled cabinet heat exchange model, the cooling capacity distribution unit heat exchange model and the cooling tower heat exchange model, an immersion liquid cooling system model of the liquid-cooled data center is established, and the immersion liquid cooling system model is used to evaluate the comprehensive performance of the liquid-cooled data center to obtain a performance evaluation result of the liquid-cooled data center, and the performance evaluation result is used to monitor the cooling efficiency of the liquid-cooled data center.

[0006] According to another aspect of the present application, a communication room performance evaluation device is provided, comprising: a first establishing unit for establishing a liquid cooling cabinet heat exchange model using a lumped parameter method based on convection heat exchange process parameters between a server and a cooling liquid in a liquid cooling cabinet; a second establishing unit for establishing a cooling distribution unit heat exchange model based on heat exchange process parameters and flow distribution process parameters between the cooling liquid in the cooling distribution unit and the cooling water in the cooling distribution unit, wherein the cooling liquid in the cooling distribution unit originates from the cooling liquid in the liquid cooling cabinet, and the cooling water in the cooling distribution unit originates from a cooling tower. a third establishing unit for establishing a cooling tower heat exchange model by adopting an efficiency-heat transfer unit method according to the heat exchange process parameters of the cooling water and air in the cooling tower; an evaluation unit for establishing an immersion liquid cooling system model of a liquid-cooled data center based on the liquid-cooled cabinet heat exchange model, the cooling capacity distribution unit heat exchange model and the cooling tower heat exchange model, and using the immersion liquid cooling system model to evaluate the comprehensive performance of the liquid-cooled data center, thereby obtaining a performance evaluation result of the liquid-cooled data center, and using the performance evaluation result to monitor the cooling efficiency of the liquid-cooled data center.

[0007] According to another aspect of the present application, an electronic device is provided, comprising: one or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs include a method for executing any one of the communication room performance evaluation methods.

[0008] Applying the technical solution of the present application, a liquid cooling cabinet heat exchange model is established using the lumped parameter method based on the convective heat transfer process parameters between the server and the cooling liquid in the liquid cooling cabinet; a cooling distribution unit heat exchange model is established based on the heat exchange process parameters and flow distribution process parameters between the cooling liquid in the cooling distribution unit and the cooling water in the cooling distribution unit, wherein the cooling liquid in the cooling distribution unit originates from the cooling liquid in the liquid cooling cabinet, and the cooling water in the cooling distribution unit originates from the cooling water in the cooling tower; a cooling tower heat exchange model is established using the efficiency-heat transfer unit method based on the heat exchange process parameters between the cooling water in the cooling tower and the air; an immersion liquid cooling system model of the liquid cooling data center is established based on the liquid cooling cabinet heat exchange model, the cooling distribution unit heat exchange model and the cooling tower heat exchange model, and the immersion liquid cooling system model is used to evaluate the comprehensive performance of the liquid cooling data center to obtain the performance evaluation results of the liquid cooling data center, and the performance evaluation results are applied to monitor the cooling efficiency of the liquid cooling data center. In this solution, a submerged liquid cooling system model covering liquid-cooled cabinets, cooling distribution units, and cooling towers was systematically constructed through thermodynamic modeling methods such as the lumped parameter method and the efficiency-heat transfer unit method. This model can accurately reflect the heat exchange process and energy flow between modules within the liquid-cooled data center, thereby achieving a comprehensive quantification and evaluation of the comprehensive heat exchange efficiency and energy consumption level of the liquid-cooled data center, thereby solving the problem of limitations in the existing methods for evaluating the comprehensive performance of liquid-cooled data centers, including inaccurate and incomplete evaluations. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] The drawings that constitute part of this application are used to provide a further understanding of this application. The illustrative embodiments of this application and their descriptions are used to explain this application and do not constitute an improper limitation on this application. In the drawings:

[0010] Figure 1 A flow chart of a communication room performance evaluation method provided according to an embodiment of the present application is shown;

[0011] Figure 2 A schematic diagram of an immersion liquid cooling system model of a liquid-cooled data center according to a communication room performance evaluation method provided in an embodiment of the present application is shown;

[0012] Figure 3 A logic flow chart of an immersion liquid cooling system model control strategy algorithm for a communication room performance evaluation method provided in accordance with an embodiment of the present application is shown;

[0013] Figure 4 A schematic diagram of a first test cabinet numbering and load arrangement scheme of a communication room performance evaluation method provided in accordance with an embodiment of the present application is shown;

[0014] Figure 5A schematic diagram of a second test cabinet numbering and load arrangement scheme for a communication room performance evaluation method provided in accordance with an embodiment of the present application is shown;

[0015] Figure 6 A comparison chart showing the measured and calculated heat gain of the CDU water-side cooling liquid and the cabinet heat generation according to a communication room performance evaluation method provided by an embodiment of the present application is shown;

[0016] Figure 7 A comparison diagram of the measured and calculated cabinet outlet liquid temperature in the second working condition of Solution 1 of a communication room performance evaluation method provided by an embodiment of the present application is shown;

[0017] Figure 8 The figure shows a structural block diagram of a communication room performance evaluation device provided according to an embodiment of the present application. DETAILED DESCRIPTION

[0018] It should be noted that, in the absence of conflict, the embodiments and features of the embodiments in this application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0019] In order to enable those skilled in the art to better understand the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of this application.

[0020] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present application described here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0021] As introduced in the background technology, the existing technology has limitations in evaluating the performance of liquid-cooled data centers from a macro-energy consumption perspective through single indicators such as PUE, and lacks an accurate, comprehensive and systematic evaluation method for liquid-cooled data centers. In order to solve the problem of limitations in the methods for evaluating the comprehensive performance of liquid-cooled data centers, the embodiments of the present application provide a communication room performance evaluation method, a communication room performance evaluation device and an electronic device.

[0022] The technical solutions in the embodiments of the present invention will be described clearly and completely below with reference to the accompanying drawings in the embodiments of the present invention.

[0023] In this embodiment, a communication room performance evaluation method running on a mobile terminal, a computer terminal or a similar computing device is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0024] Figure 1 FIG. 1 is a flow chart of a method for evaluating the performance of a communication room according to an embodiment of the present application. Figure 1 As shown, the method includes the following steps:

[0025] Step S101, based on the convection heat transfer process parameters between the server and the coolant in the liquid cooling cabinet, a lumped parameter method is used to establish a liquid cooling cabinet heat transfer model;

[0026] Specifically, the communications room includes a liquid-cooled data center, which includes servers and liquid-cooled cabinets. Step S101 describes a method for modeling the heat exchange process of the liquid-cooled cabinet in the liquid-cooled data center. The core of the method is to trigger the convective heat transfer process between the server and the coolant in the liquid-cooled cabinet, and use the lumped parameter method to simplify and construct a liquid-cooled cabinet heat exchange model to evaluate the heat exchange performance of the liquid-cooled cabinet. The lumped parameter method is a modeling method used in thermal science to simplify the heat transfer process of an object. It is suitable for situations where the internal thermal resistance of the object is much smaller than the external thermal resistance, that is, the temperature distribution inside the object is relatively uniform. Among them, the convective heat transfer process parameters include the convective heat transfer coefficient, the total area of ​​the server surface in contact with the coolant, and the server wall temperature. By establishing a liquid-cooled cabinet heat exchange model, it can be used to predict and evaluate the heat exchange efficiency between the server and the coolant in the liquid-cooled cabinet, as well as the temperature change of the coolant under different load and cooling conditions, providing key data support for the performance evaluation and control strategy of the liquid-cooled data center.

[0027] Step S102, establishing a heat exchange model for the cooling distribution unit based on heat exchange process parameters and flow distribution process parameters between the cooling liquid in the cooling distribution unit and the cooling water in the cooling distribution unit, wherein the cooling liquid in the cooling distribution unit originates from the cooling liquid in the liquid-cooled cabinet, and the cooling water in the cooling distribution unit originates from the cooling water in the cooling tower;

[0028] Specifically, step S102 describes constructing a heat exchange model for the cooling distribution unit (CDU) based on the cooling water heat exchange process parameters and flow distribution process parameters within the cooling distribution unit's (CDU) operating parameters, thereby evaluating the CDU's performance in a liquid-cooled data center. As a key component connecting the liquid-cooled cabinets and cooling towers, the CDU is responsible for heat exchange between the coolant and cooling water, ensuring that the heat generated by the servers in the liquid-cooled data center is effectively processed. It also collects the cooled coolant and distributes the flow of the cooled coolant. In short, the CDU serves as a bridge within the liquid-cooled data center. On the one hand, it exchanges heat with the coolant in the liquid-cooled cabinets, receiving heat dissipated from the servers; on the other hand, it transfers this heat to the cooling water in the cooling tower, which ultimately releases the heat to the atmosphere through the cooling tower, thereby achieving heat circulation cooling within the liquid-cooled data center. Heat exchange process parameters include coolant temperature, cooling water temperature, and the flow rates of the coolant and cooling water. Flow distribution process parameters include the inflow and outflow rates of the coolant and cooling water, as well as flow control parameters. Based on heat exchange and flow distribution parameters, a heat transfer model for the cooling distribution unit (CDU) is established. This model analyzes the CDU's heat transfer efficiency and energy consumption under different operating conditions, identifies system bottlenecks, and provides a basis for system optimization. The CDU heat transfer model regulates the speeds of the oil and water pumps to adapt to dynamic server loads and environmental fluctuations, ensuring efficient and stable system operation. Furthermore, the optimal operating parameters calculated by the CDU heat transfer model, such as the CDU inlet and outlet liquid temperatures and system power consumption, guide the optimized design and operation of the system, achieving energy conservation, emission reduction, and cost control. In short, the CDU heat transfer model, based on the heat exchange and flow distribution parameters between the cooling water in the CDU, is a key step in understanding, evaluating, and optimizing the performance of liquid-cooled data center cooling systems. It provides in-depth analysis of the operating characteristics of this core component, providing scientific decision support for thermal management of the entire liquid-cooled data center.

[0029] Step S103, establishing a cooling tower heat exchange model using the efficiency-heat transfer unit method based on the heat exchange process parameters between the cooling water and the air in the cooling tower;

[0030] Cooling towers are a crucial component of liquid-cooled data centers. Their primary function is to cool hot water from the cooling distribution unit (CDU) through heat exchange with the air, reducing its temperature before returning it to the system for recirculation. The Effectiveness-Number of Transfer Units (ε-NTU) method is a mathematical model used in the design and analysis of heat exchangers, particularly when phase change occurs on one side of the heat exchanger, such as water evaporation in a cooling tower. The core of this method is to quantify the performance of a heat exchanger using two metrics: effectiveness (ε) and the number of transfer units (NTU). Effectiveness reflects the ratio of a heat exchanger's actual heat transfer performance to the theoretical ideal state of perfect heat transfer. In cooling towers, effectiveness is related to the cooling water's outlet temperature, indicating the tower's ability to cool the hot water to a temperature close to the wet-bulb temperature of the air. The number of transfer units (NTU) is a measure of the heat transfer capacity within a heat exchanger. It is related to the heat exchanger's effective heat transfer area, the medium's heat transfer coefficient, and the medium's heat capacity flow rate.

[0031] The parameters of the heat exchange process between cooling water and air in a cooling tower include the cooling water inlet temperature and flow rate, the air wet-bulb temperature, and other data. These data provide the data foundation for constructing a cooling tower heat exchange model. The cooling tower heat exchange model is established using the efficiency-heat transfer unit method. This quantifies the parameters of the heat exchange process between cooling water and air in the cooling tower. Combining the cooling tower's structure and operating characteristics, a model is constructed that can predict and evaluate the cooling tower's heat exchange efficiency and energy consumption. This not only helps evaluate the cooling tower's own performance but also provides key information for optimizing the overall operational strategy of liquid-cooled data centers, especially when adjusting the coolant flow and temperature to accommodate dynamic server loads and changing external environmental conditions.

[0032] Step S104: Based on the liquid-cooled cabinet heat exchange model, the cooling distribution unit heat exchange model, and the cooling tower heat exchange model, an immersion liquid cooling system model of the liquid-cooled data center is established, and the immersion liquid cooling system model is used to evaluate the comprehensive performance of the liquid-cooled data center to obtain a performance evaluation result of the liquid-cooled data center, and the performance evaluation result is used to monitor the cooling efficiency of the liquid-cooled data center.

[0033] Specifically, the liquid-cooled cabinet heat exchange model focuses on the heat exchange efficiency between the server and the coolant. The heat exchange process is simplified through the lumped parameter method, making it possible to quickly and accurately calculate the temperature changes of the coolant inside and outside the liquid-cooled cabinet and the heat dissipation status of the server. The cooling distribution unit heat exchange model analyzes the heat exchange between the coolant and the cooling water, including the temperature changes of the coolant in the cooling distribution unit, the heat exchange efficiency of the plate heat exchanger in the cooling distribution unit, and the energy consumption of the oil pump and water pump. The cooling tower heat exchange model uses the efficiency-heat transfer unit method to calculate the heat exchange efficiency between the cooling water and the air, including the heat exchange efficiency and cooling capacity of the cooling tower, taking into account the impact of environmental factors (such as air temperature and humidity) on the performance of the cooling tower.

[0034] By integrating three heat exchange models—the liquid-cooled cabinet heat exchange model, the cooling distribution unit heat exchange model, and the cooling tower heat exchange model—based on temperature and flow parameters, an immersion liquid cooling system model is formed that reflects the complete heat exchange process of a liquid-cooled data center. The immersion liquid cooling system model fully considers the interactions between various components, such as the flow of coolant from the liquid-cooled cabinet to the cooling distribution unit, where it is cooled by the cooling tower and then circulated back to the liquid-cooled cabinet. Using the immersion liquid cooling system model, various operational parameters of a liquid-cooled data center, such as server load, coolant and cooling water temperature and flow rate, and outdoor environmental conditions, can be input to predict and evaluate the data center's heat exchange efficiency, energy consumption, and potential system bottlenecks. Performance evaluation results provide insights into the overall system's effectiveness, including the heat exchange between components and the cooling tower's cooling capacity. Performance evaluation results include heat exchange efficiency, energy consumption metrics, and the operating status of each component. This information is crucial for monitoring the cooling efficiency of a liquid-cooled data center, providing real-time insights into the cooling performance of the data center under current operating conditions and the presence of overheating risks or energy waste. Based on performance evaluation results, the cooling efficiency of the liquid-cooled data center is monitored in real time to ensure that servers operate within a safe temperature range. Coolant circulation and cooling tower operation strategies are optimized to achieve efficient energy utilization and cost savings. Monitoring is not limited to efficiency under current operating conditions but also includes predictions of system response under different future operating conditions, providing guidance for long-term operational planning of the liquid-cooled data center.

[0035] In summary, by establishing a system-level immersion liquid cooling system model, it is possible to achieve refined management and performance optimization of the cooling system of the liquid-cooled data center, which is of great significance for improving the energy efficiency of the data center, reducing operating costs, and ensuring the stable operation of the server.

[0036] Through this embodiment, a model of an immersion liquid cooling system covering liquid-cooled cabinets, cooling distribution units, and cooling towers is systematically constructed by using thermodynamic modeling methods such as the lumped parameter method and the efficiency-heat transfer unit method. This model can accurately reflect the heat exchange process and energy flow between modules within a liquid-cooled data center, thereby achieving a comprehensive quantification and evaluation of the comprehensive heat exchange efficiency and energy consumption level of the liquid-cooled data center, thereby solving the problem of limitations of the existing methods for evaluating the comprehensive performance of liquid-cooled data centers, including inaccurate and incomplete evaluations.

[0037] In the specific implementation process, based on the convection heat transfer process parameters between the server and the coolant in the liquid cooling cabinet, a lumped parameter method is used to establish a liquid cooling cabinet heat transfer model, including: constructing an equivalent model, in which the liquid cooling cabinet is equivalent to a whole, and the server is equivalent to a heat point with uniform temperature; based on the equivalent model, the lumped parameter method is applied, with the inlet and outlet of the coolant in the liquid cooling cabinet as the boundary, and the first formula Q=hS(T w -T f ) calculate the convective heat transfer between the coolant in the liquid cooling cabinet and the server, where Q is the convective heat transfer between the coolant in the liquid cooling cabinet and the server, h is the convective heat transfer coefficient of the convective heat transfer, S is the contact surface area between the server and the coolant in the liquid cooling cabinet, and T w is the wall temperature of the above server, T f is the temperature of the coolant between the servers; the total heat transfer value between the servers and the coolant in the liquid-cooled cabinet is calculated using the second formula Q'=mCΔT, where Q' is the total heat transfer value, m is the mass of the coolant in the liquid-cooled cabinet, C is the specific heat capacity of the coolant in the liquid-cooled cabinet, and ΔT is the temperature difference between the coolant in the liquid-cooled cabinet before and after heating; a heat exchange model of the liquid-cooled cabinet is established based on the first and second formulas.

[0038] Specifically, in establishing the heat exchange model for a liquid-cooled cabinet, the complex internal structure and heat transfer process are simplified by treating the cabinet as a whole. The server is then equated to a single, uniformly heated hot spot. This assumes that all heat-generating parts of the server have the same temperature and thermal power, thus ignoring the details of the server's internal heat distribution. Simultaneously, the cabinet is simplified, and its complex internal fluid paths and heat transfer processes are treated as a uniform heat exchange process, characterized by temperature changes at the coolant inlet and outlet.

[0039] Based on the established equivalent model, the lumped parameter method allows the use of a simplified model to analyze the heat exchange between the server and the coolant in the liquid cooling cabinet, without considering the specific flow pattern of the coolant inside the liquid cooling cabinet. This can greatly simplify the calculation process while still maintaining sufficient accuracy, especially when the server is in direct contact with the coolant and the interface thermal resistance is small. The first formula Q = hS (T w -T f ) is used to calculate the convective heat transfer between the coolant in the liquid cooling cabinet and the server. The convective heat transfer coefficient h is a measure of the heat transfer rate caused by the temperature difference per unit area per unit time. The calculation formula for the convective heat transfer coefficient h is: Where Nu is the ratio of the convective heat transfer coefficient to the conductive heat transfer coefficient, λ is the thermal conductivity of the fluid, and l is the characteristic length. Gr is the Glacier number, which indicates the influence of gravity, Pr is the Prandtl number, which indicates the ratio of the dynamic viscosity of the fluid to the thermal conductivity, and C1 is a constant related to the flow form. The wall temperature of the server is T w The temperature of the coolant between the server and the f The key parameter that determines heat exchange efficiency is the contact surface area S between the server and the coolant in the liquid-cooled cabinet. This area is related to the size of the server and the coolant flow path.

[0040] The second formula, Q'=mCΔT, calculates the total heat transfer between the server and the coolant in the liquid cooling cabinet. This formula uses the coolant's mass m, its specific heat capacity C, and the temperature difference ΔT before and after heating to calculate the total heat transfer between the server and the coolant.

[0041] The heat transfer model for liquid-cooled cabinets is based on the first and second equations above, primarily considering the balance between server heat generation and the coolant's heat absorption capacity. This model predicts the amount of heat absorbed by the coolant from the server, as well as the temperature difference before and after the coolant is heated, given server power, coolant temperature, and flow rate. This approach offers the advantage of assisting in the design and optimization of liquid-cooled cabinets, ensuring they effectively remove server heat while reducing energy consumption under a variety of operating conditions. Furthermore, the model can provide recommendations for operating strategies for the liquid cooling system, such as adjusting the coolant flow rate based on the server's real-time load or optimizing the coolant temperature setting. This ensures efficient system operation while maintaining server cooling. By regularly updating and calibrating the model parameters, the performance of the liquid-cooled cabinet can be continuously monitored, allowing issues to be identified and adjusted promptly, ultimately improving cooling efficiency and energy savings.

[0042] In summary, the liquid-cooling cabinet heat transfer model constructed using the lumped parameter method based on the convective heat transfer process parameters between the server and the liquid-cooling cabinet can accurately reflect the heat exchange performance of the liquid cooling system while simplifying the heat conduction problem, providing strong support for the optimal design and operation management of the liquid-cooled data center cooling system.

[0043] In some embodiments of the present application, a heat exchange model of the cooling distribution unit is established based on the heat exchange process parameters and flow distribution process parameters between the coolant in the cooling distribution unit and the cooling water in the cooling distribution unit, including: according to the third formula Q oil =G oil C oil (T in,oil -T out,oil ), the fourth formula Q W =G w C w (T out,w -T in,w ) and the fifth formula Q oil =Q W +Q loss Establish the heat exchange model between the coolant side and the cooling water side, where T in,oil is the inlet temperature of the coolant side, T out,oil is the outlet temperature of the coolant side, T in,w is the inlet water temperature on the cooling water side, T out,w is the outlet water temperature of the cooling water side, Q oil is the heat released from the coolant side, G oil is the flow rate of the above coolant, C oil is the specific heat capacity of the above coolant, Q W is the heat absorbed by the cooling water side, G w is the flow rate of the cooling water, C w is the specific heat capacity of the cooling water, Q loss is the heat loss of the above-mentioned coolant, the above-mentioned coolant side is the inlet and outlet of the coolant in the above-mentioned cooling distribution unit, and the above-mentioned cooling water side is the inlet and outlet of the cooling water in the above-mentioned cooling distribution unit; according to the sixth formula Seventh formula η m (x) = b × (1-e kx ) and the eighth formula η vfd (x) = α + βx - γx 2 +μx 3 Construct an energy consumption model for the variable frequency pump, where P is the energy consumption of the variable frequency pump, H is the head of the variable frequency pump, Q is the flow rate of the variable frequency pump, and η vfd is the comprehensive efficiency of the variable frequency pump, η mis the motor efficiency of the above-mentioned variable frequency pump, x is the load rate of the above-mentioned variable frequency pump, ρ is the density of the fluid in the above-mentioned variable frequency pump, g is the acceleration of gravity, and a, b, k, α, β, γ, and μ are constants; the field synergy coefficient of the plate heat exchanger in the above-mentioned cooling distribution unit is calculated, and the above-mentioned field synergy coefficient is an indicator that quantifies the internal heat exchange performance of the above-mentioned plate heat exchanger; based on the heat exchange model of the above-mentioned coolant side and the cooling water side, the energy consumption model of the above-mentioned variable frequency pump and the above-mentioned field synergy coefficient, a heat exchange model of the above-mentioned cooling distribution unit is established.

[0044] Specifically, in the cooling distribution unit, after the coolant absorbs heat from the liquid-cooled cabinet, it needs to release this heat through heat exchange with the cooling water, thereby achieving re-cooling of the coolant. Here, the lumped parameter method is used to simplify the heat exchange process, mainly based on the coolant side inlet temperature T in,oil , Coolant side outlet temperature T out,oil , and the cooling water side inlet temperature T in,w , Cooling water side outlet temperature T out,w , through the third formula Q oil =G oil C oil (T in,oil -T out,oil ), the fourth formula Q W =G w C w (T out,w -T in,w ) and the fifth formula Q oil =Q W +Q loss To establish the heat exchange model between the coolant side and the cooling water side.

[0045] In the cooling capacity distribution unit, the variable frequency pump is used to control the flow of coolant and cooling water. The energy consumption model of the variable frequency pump is established based on the characteristic parameters of the variable frequency pump, including the energy consumption P of the variable frequency pump, the head H of the variable frequency pump, the flow rate Q of the variable frequency pump, and the comprehensive pump efficiency η of the variable frequency pump. vfd , variable frequency pump motor efficiency η m , the load rate x of the variable frequency pump, the density ρ of the fluid in the variable frequency pump and the acceleration of gravity g. The sixth formula Seventh formula η m (x) = b × (1-e kx ) and the eighth formula η vfd (x) = α + βx - γx 2 +μx 3 It reflects the energy consumption calculation of the variable frequency pump under different operating conditions, which helps to understand the efficiency of energy conversion in the cooling distribution unit and achieve energy efficiency optimization while maintaining a good cooling effect. n represents the actual speed of the pump inverter, n i Indicates rated speed.

[0046] The field synergy factor is a key indicator for evaluating the temperature uniformity and heat exchange efficiency of fluids within a plate heat exchanger. It reflects the temperature gradient and flow velocity distribution of the two fluids (coolant and cooling water) within the heat exchanger. A larger field synergy value indicates a more uniform temperature distribution within the heat exchanger, higher heat exchange efficiency, and less potential for heat exchange improvement.

[0047] The final heat exchange model of the cooling distribution unit is a comprehensive reflection of the heat exchange models for the coolant and cooling water sides, the energy consumption model of the variable frequency pump, and the field synergy coefficient. The heat exchange model of the cooling distribution unit can be used to evaluate the heat exchange performance of the cooling distribution unit. The temperature changes of the coolant and cooling water can be used to calculate the heat exchange efficiency and cooling capacity of the cooling distribution unit. Under given operating conditions, the heat exchange model of the cooling distribution unit can predict the energy consumption of the variable frequency pump and help optimize the operating strategy of the variable frequency pump, such as adjusting the speed to keep the system running at high efficiency and low consumption. Furthermore, the introduction of the field synergy coefficient enables the heat exchange model of the cooling distribution unit to not only evaluate the current heat exchange efficiency of the cooling distribution unit but also guide the design optimization of the plate heat exchanger. For example, by adjusting the layout of the fluid channels or increasing the heat exchange area to increase the field synergy value, thereby improving heat exchange efficiency.

[0048] By constructing a heat exchange model for the cooling distribution unit, we can fully understand the heat exchange process within the cooling distribution unit in liquid-cooled data centers. This includes not only the heat exchange efficiency between the coolant and the cooling water, but also the energy consumption of the variable frequency pump and the performance evaluation of the plate heat exchanger. This is crucial for the overall performance evaluation and operational control of liquid-cooled data centers. The establishment and application of a heat exchange model for the cooling distribution unit facilitates more efficient management of the cooling system in liquid-cooled data centers, ensuring that servers operate at a stable temperature while reducing energy consumption and operating costs.

[0049] In some other embodiments of the present application, based on the heat exchange process parameters of the cooling water and air in the cooling tower, the efficiency-heat transfer unit method is used to establish a cooling tower heat exchange model, including: calculating the number of energy efficiency units based on the air flow rate and the cooling water flow rate; using the ninth formula Calculate the heat exchange efficiency of the cooling tower above, where ε tower For the above heat exchange efficiency, NTU tower is the number of energy efficiency units mentioned above, G tower,a is the air flow rate, G tower,w is the cooling water flow rate, c w is the specific heat capacity of the cooling water, h tower,as,E is the saturated air enthalpy corresponding to the cooling tower inlet water temperature, h tower,as,L is the saturated air enthalpy corresponding to the cooling tower outlet water temperature, T out,w' is the inlet water temperature of the cooling tower, T in,w ' is the outlet water temperature of the cooling tower; using the tenth formula Determine the efficiency of the cooling tower, where EEF is the efficiency of the cooling tower, T wb is the outdoor wet-bulb temperature; the cooling tower heat exchange model is established based on the above ninth formula and the above tenth formula.

[0050] Specifically, the energy efficiency unit number (NTU) is a key parameter for evaluating the performance of heat exchangers, reflecting the effective heat transfer capacity of the heat exchanger. In cooling towers, the calculation of the energy efficiency unit number needs to take into account the air flow rate and the cooling water flow rate. tower The calculation formula is Among them, G tower,w is the cooling water flow rate, G tower,a is the air flow rate, A tower Indicates the cooling capacity of the cooling tower (indicates the heat load that the cooling tower can handle per unit time), B tower Indicates cooling efficiency (referring to the cooling tower's ability to effectively remove heat from circulating water).

[0051] Cooling tower heat exchange efficiency ε tower By the ninth formula Calculate, where NTU tower is the energy efficiency unit number of the cooling tower, which is used to quantify the heat exchange potential of the cooling tower, c w is the specific heat capacity of cooling water, h tower,as,E 、h tower,as,L They are respectively expressed as the saturated air enthalpy value corresponding to the cooling tower inlet water temperature and the saturated air enthalpy value corresponding to the cooling tower outlet water temperature. Enthalpy is a physical quantity that describes the energy state of matter, including internal energy and flow energy. out,w '、T in,w 'Represents the cooling tower inlet water temperature and cooling tower outlet water temperature respectively.

[0052] The cooling tower efficiency EEF is calculated by the formula The calculation reflects that the cooling tower reduces the cooling water temperature to close to the outdoor wet bulb temperature T wb The outdoor wet bulb temperature is the temperature of the air when it reaches saturation, which is usually lower than the dry bulb temperature (air temperature). The calculation of the cooling tower's efficiency helps to understand the heat exchange potential of the cooling tower under specific environmental conditions (such as outdoor air temperature and humidity).

[0053] The development of a cooling tower heat transfer model integrates the calculation of the cooling tower's heat exchange efficiency and effectiveness. By quantifying the heat exchange process between the cooling water and the air within the cooling tower, the cooling tower heat transfer model can predict the cooling tower's performance under different operating conditions. Specifically, the cooling tower heat transfer model calculates the efficiency of the cooling water in the cooling tower when exchanging heat with the air. By calculating the cooling tower's effectiveness, the cooling tower's ability to cool the cooling water to a temperature close to the outdoor wet-bulb temperature can be determined. This is critical for assessing the cooling tower's total cooling potential and reliability in hot weather. The efficiency and effectiveness data output by the cooling tower heat transfer model can be used to guide cooling tower operation and control strategies, such as adjusting the cooling tower's fan speed and water spray volume based on changes in outdoor temperature to achieve more efficient cooling. In short, the cooling tower heat transfer model provides a comprehensive and accurate performance evaluation tool for liquid-cooled data center cooling systems, helping to achieve efficient energy utilization and stable system operation.

[0054] In order to fully understand the operating status of the cooling system of the liquid-cooled data center, optimize energy efficiency, and ensure that the server operates at the optimal temperature, an immersion liquid cooling system model of the liquid-cooled data center is established based on the above-mentioned liquid-cooled cabinet heat exchange model, the above-mentioned cold distribution unit heat exchange model and the above-mentioned cooling tower heat exchange model, including: combining the above-mentioned liquid-cooled cabinet heat exchange model, the above-mentioned cold distribution unit heat exchange model and the above-mentioned cooling tower heat exchange model through temperature parameters and flow parameters to obtain the above-mentioned immersion liquid cooling system model; in the above-mentioned immersion liquid cooling system model, the outlet temperature and outlet flow rate of the coolant in the above-mentioned liquid-cooled cabinet are used as input parameters as the inlet temperature and inlet flow rate of the coolant in the above-mentioned cold distribution unit, and the above-mentioned input parameters are also used to regulate the flow rate of the oil pump in the above-mentioned liquid-cooled cabinet; the outlet water temperature and inlet water temperature of the above-mentioned cooling tower are determined as the inlet water temperature and outlet water temperature of the cooling water in the above-mentioned cold distribution unit.

[0055] Specifically, the immersion liquid cooling system model for a liquid-cooled data center links the heat exchange models for the liquid-cooled cabinet, the cooling distribution unit, and the cooling tower, using temperature and flow as link parameters. This means that each component of the system must not only consider its own heat exchange efficiency and energy consumption, but also its impact on the temperature and flow dynamics of the entire system. After absorbing the heat generated by the servers, the coolant in the liquid-cooled cabinet's outlet temperature and flow rate become the inlet temperature and flow rate of the coolant in the cooling distribution unit. This is because the coolant completes initial heat exchange in the liquid-cooled cabinet before being transported to the cooling distribution unit for further cooling. The cooling tower's outlet water temperature becomes the inlet water temperature of the cooling water in the cooling distribution unit, while the cooling tower's inlet water temperature becomes the outlet water temperature of the cooling water in the cooling distribution unit. This linkage reflects that after cooling the cooling water in the cooling tower, it flows back into the cooling distribution unit to cool the hot coolant from the liquid-cooled cabinet. The oil pump flow rate in a liquid-cooled cabinet is also affected by its outlet liquid temperature and flow rate. According to the temperature rise and flow demand of the coolant in the liquid-cooled cabinet, the oil pump needs to adjust its speed accordingly to ensure continuous flow of the coolant and effective cooling.

[0056] The process of modeling an immersion liquid cooling system involves integrating the heat exchange models of the liquid-cooled cabinet, the cooling distribution unit, and the cooling tower. The coolant temperature and flow rate output by the liquid-cooled cabinet heat exchange model directly influence the coolant temperature and flow rate of the cooling distribution unit, which in turn affects the cooling efficiency of the cooling distribution unit. The coolant temperature and flow rate parameters in the cooling distribution unit heat exchange model, along with the temperature and flow rate of the cooling water, jointly determine the heat exchange performance and energy consumption of the cooling distribution unit. The cooling water temperature, the output of the cooling tower heat exchange model, is fed back to the cooling distribution unit, influencing its cooling efficiency.

[0057] By constructing a systematic model, such as an immersion cooling system, the heat exchange performance and energy consumption of a liquid-cooled data center can be predicted based on server load, ambient temperature, and other operating conditions. By adjusting the oil and water pump speeds, cooling tower operating parameters, and other factors, the optimal energy consumption condition can be found while meeting safety and cooling requirements. By monitoring deviations between the immersion cooling system model output and actual system data in real time, potential faults or performance degradation points can be promptly identified, allowing measures to be taken to prevent equipment damage or system failure. During the planning phase of a liquid-cooled data center, the immersion cooling system model can help designers select the most appropriate cooling technology, component specifications, and layout to achieve the desired cooling effect and energy efficiency goals. In summary, the establishment of an immersion cooling system model can provide a deeper understanding and control of the cooling efficiency and energy consumption of liquid-cooled data centers, contributing to the realization of high performance, high energy efficiency, and low operating costs of data centers.

[0058] Furthermore, the above-mentioned immersion liquid cooling system model is used to evaluate the comprehensive performance of the above-mentioned liquid-cooled data center to obtain the performance evaluation results of the above-mentioned liquid-cooled data center, including: inputting the actual operating parameters of the above-mentioned liquid-cooled data center into the above-mentioned immersion liquid cooling system model to obtain the above-mentioned performance evaluation results of the above-mentioned liquid-cooled data center, wherein the above-mentioned actual operating parameters include the load of the above-mentioned liquid-cooled cabinet, the inlet and outlet temperature and flow rate of the cooling liquid in the above-mentioned cooling distribution unit, the inlet and outlet temperature and flow rate of the cooling water in the above-mentioned cooling distribution unit, the temperature and flow rate of the cooling water in the above-mentioned cooling tower, and outdoor environmental conditions, wherein the above-mentioned performance evaluation results include the comprehensive heat exchange efficiency and energy consumption of the above-mentioned liquid-cooled data center.

[0059] Specifically, the actual operating parameters of the liquid-cooled data center are input into the immersion liquid cooling system model. These parameters include the load of the liquid-cooled cabinet, the inlet and outlet temperatures and flow rates of the coolant in the cooling distribution unit, the inlet and outlet temperatures and flow rates of the cooling water in the cooling distribution unit, the temperature and flow rate of the cooling water in the cooling tower, and outdoor environmental conditions. The load of the liquid-cooled cabinet refers to the power consumption of the server, which is the main source of cooling demand in the liquid-cooled data center. The size of the load directly affects the amount of heat absorbed by the coolant. The inlet and outlet temperatures and flow rates of the coolant in the cooling distribution unit refer to the temperature and flow rate of the coolant before entering the cooling distribution unit, as well as the temperature and flow rate of the coolant when it flows out of the cooling distribution unit. The temperature and flow rate of the coolant before entering the cooling distribution unit reflect the state of the coolant after absorbing heat from the liquid-cooled cabinet, and the temperature and flow rate of the coolant when it flows out of the cooling distribution unit reflect the cooling effect of the cooling distribution unit. The inlet and outlet temperatures and flow rates of the cooling water in the cooling distribution unit (CDU) refer to the temperature and flow rate of the cooling water upon entering the CDU, and the temperature and flow rate of the cooling water upon exiting the CDU. These are key parameters for measuring the heat exchange efficiency and energy consumption of the CDU. The temperature and flow rate of the cooling water in the cooling tower reflect the cooling capacity and energy consumption of the cooling tower. Outdoor environmental conditions, including the dry-bulb and wet-bulb temperatures of the outdoor air, influence the cooling effectiveness of the cooling tower and the overall energy consumption of a liquid-cooled data center.

[0060] The immersion liquid cooling system model uses the above operating parameters as input and predicts the comprehensive heat exchange efficiency and energy consumption of the liquid-cooled data center through a series of calculations. Specifically, the immersion liquid cooling system model can predict the heat exchange efficiency of the liquid-cooled cabinet, cooling distribution unit, and cooling tower under current operating conditions. In other words, how effectively the coolant and cooling water remove the heat generated by the server. This includes evaluating the heat exchange capacity of each component and the overall system's ability to transfer heat from the server to the ambient air. The immersion liquid cooling system model can evaluate the total energy consumption of the liquid-cooled data center under specific operating parameters, including the energy consumption of the coolant pump, cooling water pump, cooling tower fan, and other equipment in the cooling distribution unit (such as oil pumps and refrigeration units). This reflects the system's energy consumption under different load and environmental conditions.

[0061] The comprehensive heat exchange efficiency demonstrates the liquid-cooled data center's ability to effectively remove heat from servers, which is crucial for ensuring the normal operating temperature of servers and improving data center cooling efficiency. Energy consumption provides an overview of the energy consumption of the liquid-cooled data center cooling system under various operating conditions, which is important for optimizing energy use and reducing operating costs. Based on the comprehensive heat exchange efficiency and energy consumption output by the immersion cooling system model, system operating conditions can be adjusted. For example, under high load or high temperature conditions, the coolant or cooling water flow rate can be increased, the cooling tower fan speed can be increased, or the operating parameters of the cooling distribution unit can be adjusted to ensure safe system operation and improve cooling efficiency. Long-term, the predictions from the immersion cooling system model can guide system design improvements, such as selecting a more efficient cooling tower, optimizing the heat exchanger design within the cooling distribution unit, or improving the coolant distribution strategy within the liquid-cooled cabinet. The immersion cooling system model can also be used to identify potential failure points in the system, such as insufficient coolant flow or abnormally high cooling water temperature, enabling timely measures to prevent system failure.

[0062] Furthermore, after establishing an immersion liquid cooling system model of a liquid-cooled data center based on the liquid-cooling cabinet heat exchange model, the cooling capacity distribution unit heat exchange model and the cooling tower heat exchange model, the method further includes: inputting preset control strategy parameters into the immersion liquid cooling system model, the preset control strategy parameters including the designed maximum liquid outlet temperature of the liquid-cooling cabinet, the liquid outlet safety margin temperature, the real-time load of the liquid-cooling cabinet, the real-time liquid outlet temperature of the liquid-cooling cabinet, the outdoor wet-bulb temperature and the designed maximum water inlet temperature of the cooling tower; determining the average value of the real-time liquid outlet temperatures of all the liquid-cooling cabinets The cooling water outlet temperature of the cooling tower is determined as the cooling water inlet temperature of the cooling water in the cooling distribution unit; the cooling water outlet temperature of the cooling water in the cooling tower is determined as the cooling water inlet temperature of the cooling distribution unit; the cooling water outlet temperature of the cooling water in the cooling distribution unit is obtained by calculating the heat exchange model of the cooling distribution unit, and the cooling water outlet temperature of the cooling distribution unit is compared with the design maximum outlet temperature of the liquid cooling cabinet, and the flow rate and speed of the oil pump in the liquid cooling cabinet are adjusted according to the comparison result.

[0063] Specifically, the preset control strategy parameters are key information guiding the dynamic adjustment of the cooling system. These include the liquid cooling cabinet's designed maximum outlet temperature, the outlet safety margin temperature, the cabinet's real-time load, the cabinet's real-time outlet temperature, the outdoor wet-bulb temperature, and the cooling tower's designed maximum inlet water temperature. If the coolant temperature exceeds the cabinet's designed maximum outlet temperature, it will damage the server hardware and require immediate action to reduce the temperature. The outlet safety margin temperature refers to the safe temperature difference between the coolant outlet temperature and the designed maximum outlet temperature to ensure server safety. This is an additional safety margin below the designed maximum outlet temperature. The cabinet's real-time load refers to the actual power consumption of the servers, reflecting the current heat generation in the liquid-cooled data center and used to adjust the cooling system's thermal management strategy. The cabinet's real-time outlet temperature refers to the actual temperature of the coolant as it leaves the cabinet. It is a key indicator for monitoring heat exchange efficiency and assessing the cooling system's operating status. The outdoor wet-bulb temperature reflects the cooling potential of the external environment, has a direct impact on the cooling tower's efficiency, and is an important basis for adjusting cooling tower operating parameters. The maximum design inlet water temperature of a cooling tower refers to the highest temperature that the cooling tower can handle when it is designed, and is used to determine whether the cooling tower can maintain effective cooling under extreme operating conditions.

[0064] The average of all liquid-cooled cabinets' real-time outlet temperatures serves as the coolant inlet temperature for the cooling distribution unit. This parameter reflects the overall heat exchange status of all liquid-cooled cabinets. The cooling tower's treated cooling water outlet temperature serves as the cooling water inlet temperature for the cooling distribution unit, reflecting the cooling tower's actual cooling efficiency. The cooling tower's designed maximum inlet temperature is set to the cooling water outlet temperature in the cooling distribution unit, ensuring the cooling system provides adequate cooling capacity even under high loads.

[0065] After calculating the coolant outlet temperature using the cooling distribution unit's heat exchange model, this temperature is compared with the liquid-cooled cabinet's designed maximum outlet temperature to determine whether and how to adjust the cabinet's oil pump flow rate and speed. Specifically, if the calculated coolant outlet temperature approaches or reaches the liquid-cooled cabinet's designed maximum outlet temperature, it means the cooling system's heat exchange capacity is nearing its limit, posing a risk of overheating. In this case, the oil pump flow rate and speed should be increased. Increasing the pump speed encourages more coolant to circulate, improving heat exchange efficiency and effectively removing more heat, preventing server overheating. Conversely, if the coolant outlet temperature is significantly below the liquid-cooled cabinet's designed maximum outlet temperature, it indicates sufficient cooling capacity. In this case, the oil pump flow rate and speed should be reduced to reduce unnecessary energy consumption while maintaining system safety and stability.

[0066] Applying these preset control strategy parameters to the immersion liquid cooling system model and adjusting the oil pump based on the comparison of the coolant outlet temperature in the cooling distribution unit with the designed maximum outlet temperature of the liquid cooling cabinet has a multi-faceted positive impact on liquid-cooled data centers. Specifically, by continuously monitoring the temperature of the coolant and cooling water and adjusting the operating status of the oil pump in real time, refined control of the cooling system is achieved, ensuring that servers operate within the optimal temperature range. This strategy can automatically adjust to changes in the internal and external environment of the data center (such as increases and decreases in server load and fluctuations in outdoor temperature), improving the dynamic adaptability and flexibility of the system. By properly adjusting the oil pump flow and speed, overcooling is avoided and the energy consumption of the cooling system is reduced. Maintaining the coolant temperature within a safe range reduces the risk of thermal shock to the server and helps extend the service life of the server and other critical components.

[0067] In order to ensure that the immersion liquid cooling system model can truly reflect the cooling system performance of the liquid-cooled data center, in some embodiments of the present application, the above method also includes: collecting the operating parameters of the above liquid-cooled data center, the above operating parameters include the inlet and outlet temperatures of the cooling liquid of the above liquid cooling cabinet, the inlet and outlet temperatures and flow of the cooling liquid of the above cooling distribution unit, the inlet and outlet temperatures and flow of the cooling water of the above cooling tower, and the outdoor wet-bulb temperature. The above operating parameters are obtained by selecting the above liquid cooling cabinet for experiment in the above liquid cooling data center, using a heating rod to simulate the heat source of the above server, and implementing different load layout schemes and working conditions; using the above immersion liquid cooling system model to test the performance of the above liquid cooling data center under different preset experimental conditions, obtaining test results, and comparing the above test results with the measured data to evaluate the accuracy of the above immersion liquid cooling system model, wherein the above preset experimental conditions are set based on the speed of the oil pump and the water pump.

[0068] Specifically, to validate the accuracy of the immersion liquid cooling system model, it is first necessary to collect real-world operating data from a liquid-cooled data center under various operating conditions. These operating parameters include the coolant inlet and outlet temperatures of the liquid-cooled cabinet, the coolant inlet and outlet temperatures and flow rates of the cooling capacity distribution unit (CDU), the cooling water inlet and outlet temperatures and flow rates of the cooling tower, and the outdoor wet-bulb temperature. The coolant inlet and outlet temperatures of the liquid-cooled cabinet reflect the efficiency of heat exchange and the thermal state within the cabinet. The coolant inlet and outlet temperatures and flow rates of the CDU reflect the efficiency of the cooling system. The cooling water inlet and outlet temperatures and flow rates of the cooling tower are key indicators for evaluating cooling tower performance. External environmental conditions directly affect the cooling effectiveness of the cooling tower, so monitoring the outdoor wet-bulb temperature is crucial for understanding cooling tower performance. These operating parameters were obtained through experimental conditions in a real liquid-cooled data center. In the experiments, specific liquid-cooled cabinets were selected and heating rods were used to simulate server heat sources, implementing different load configurations and operating conditions. This method simulates the heat generation of servers under high load, providing a realistic data foundation for cooling system performance evaluation.

[0069] The immersion liquid cooling system model can be used to test the performance of a liquid-cooled data center under different preset experimental conditions. The preset experimental conditions are set based on the speed of the oil pump and water pump. Adjustments to these speeds are directly related to the flow rates of the coolant and cooling water, thereby affecting the heat exchange efficiency and energy consumption of the entire cooling system. The results of the immersion liquid cooling system model test include the estimated coolant and cooling water temperatures and flow rates under different operating conditions, as well as the system's comprehensive heat exchange efficiency and energy consumption. These data are compared with actual operating parameters to evaluate whether the predictive capabilities of the immersion liquid cooling system model are consistent with reality. In short, by collecting the operating parameters of the liquid-cooled data center and comparing them with the predicted results of the immersion liquid cooling system model, not only is the accuracy of the immersion liquid cooling system model verified, but it also provides an important basis for the optimization and improvement of the liquid cooling system.

[0070] In order to enable those skilled in the art to more clearly understand the technical solution of the present application, the implementation process of the communication room performance evaluation method of the present application will be described in detail below with reference to specific embodiments.

[0071] This embodiment relates to a specific method for evaluating the performance of a communication room, which dynamically interacts and models the three modules of the liquid cooling cabinet side, the cooling distribution unit side (CDU side) and the cooling tower side, and accurately quantifies the heat exchange efficiency and energy consumption contribution of each subsystem through the dynamic interaction of parameters such as temperature and flow. Through dynamic control algorithms (such as cabinet group adjustment strategies based on the highest liquid outlet temperature), the optimization of system operating conditions and minimization of energy consumption are achieved. Combining the lumped parameter method, field synergy theory and cooling tower efficiency EEF (based on the ε-NTU method), a multi-dimensional evaluation system is constructed, covering indicators such as heat exchange potential, energy consumption distribution, safety and reliability.

[0072] 1. Establish an IDC immersion liquid cooling model (immersion liquid cooling system model for liquid-cooled data centers)

[0073] The lumped parameter method ignores subtle temperature variations within an object and is suitable for systems where the internal thermal resistance is much smaller than the external thermal resistance. This method simplifies the model, and the parameters are generally easy to adjust. It can be modified and optimized based on actual conditions, facilitating analysis and calculation. It is used to model immersion liquid cooling systems.

[0074] 1.1 Establishing a heat exchange model for liquid cooling cabinets

[0075] Liquid-cooled cabinets provide a heat exchange platform between servers and coolant. The coolant flows from bottom to top, and the temperature is adjusted by controlling the oil pump speed. A cabinet heat exchange model was established based on the lumped parameter method, accounting for convective heat transfer between the servers and the coolant to simplify the model calculations.

[0076] The liquid cooling cabinet is taken as the research object, and the server is regarded as a single, uniform temperature heat point. The heat exchange between solid and liquid is considered. Therefore, the liquid between the inlet and outlet of the cabinet is taken as the research object. The coolant obtains a temperature rise after being heated by the server. Therefore, according to the principle that energy is absorbed and released during the process of liquid heating, the heat transfer between the heat generated by the server and the heat gained by the coolant satisfies the basic thermodynamic equation Q=hS(T w -T f ), where h is the convection heat transfer coefficient, in W / (m2*K); S is the convection heat transfer area, the contact area between the server and the coolant, in m2; T w is the wall temperature of the server, in °C; T f is the liquid temperature between the two servers (coolant temperature between servers), in °C; Where Nu is the ratio of the convective heat transfer coefficient to the conductive heat transfer coefficient, λ is the thermal conductivity of the fluid, and l is the characteristic length. Gr is the Glacier number, which indicates the effect of gravity. Pr is the Prandtl number, which indicates the ratio of the dynamic viscosity to the thermal conductivity of the fluid. C1 is a constant related to the flow pattern.

[0077] Taking the liquid between the inlet and outlet of the cabinet as the research object, the cold liquid obtains a temperature rise after being heated by the server. Therefore, based on the principle that energy is absorbed and released during the process of liquid heating, the basic thermodynamic equation for heat transfer between the heat generated by the server and the heat gained by the coolant is: Q'=mCΔT, where Q' is the total heat transfer value in J; m is the mass of the liquid (the mass of the coolant in the liquid-cooled cabinet) in kg; C is the specific heat capacity of the heated liquid (the specific heat capacity of the coolant in the liquid-cooled cabinet) in J / kg*℃; ΔT is the temperature difference before and after the liquid is heated (the temperature difference before and after the coolant in the liquid-cooled cabinet is heated) in ℃.

[0078] 1.2 Establish CDU model (cooling distribution unit heat exchange model)

[0079] The CDU connects the primary and secondary sides, enabling heat exchange and flow distribution between coolant and cooling water. Its core components are the plate heat exchanger and oil pump. A CDU heat transfer and energy consumption model was established, using field synergy theory to evaluate the plate heat exchange performance.

[0080] For countercurrent plate exchange, the heat released by the hot fluid is equal to the heat gained by the cold fluid. Assume that the heat released by the hot fluid is Q oil , the heat absorbed by the cold fluid is Q W , then Q oil =G oil C oil (T in,oil -T out,oil ), QW =G w C w (T out,w -T in,w ), Q oil =Q W +Q loss , where T in,oil is the inlet temperature of the coolant side, in °C; T out,oil T is the outlet temperature of the coolant side, in °C; in,w T is the water side inlet temperature (cooling water side inlet temperature), unit is ℃; out,w is the outlet water temperature on the water side (the outlet water temperature on the cooling water side), in °C; G oil is the flow rate of the above coolant, C oil is the specific heat capacity of the above coolant, in J / (kg*℃); G w is the flow rate of the cooling water, C w is the specific heat capacity of the cooling water, in J / (kg*℃); Q loss is the heat lost by the above coolant.

[0081] The power of the variable frequency pump is: η m (x) = 0.94187 × (1-e -9.04x ), η vfd (x) = 0.5067 + 1.283x - 1.42x 2 +0.5842x 3 , where P is the pump energy consumption (energy consumption of the variable frequency pump), in kW; H is the pump head (head of the variable frequency pump), in m; Q is the pump flow (flow of the variable frequency pump), in m3 / h; η m is the motor efficiency (the motor efficiency of the variable frequency pump); x is the pump load rate (the load rate of the variable frequency pump); ρ is the density of the fluid (the density of the fluid in the variable frequency pump), the unit is kg / m3; g is the acceleration of gravity, which is 9.8m / s2; η vfd It is the overall pump efficiency of the variable frequency pump.

[0082] The calculation method of the field synergy factor varies according to the fluid flow form of the heat exchanger. The calculation methods for co-current, counter-current and cross-current are as follows:

[0083] In a co-current plate heat exchanger:

[0084] In a counterflow plate heat exchanger:

[0085] In a cross-flow plate heat exchanger:

[0086] In the above calculation formula, C r It is called heat capacity flow: Where m' is the mass flow rate in kg / s, c p is the specific heat capacity of the fluid, with the unit being J / (kg*℃).

[0087] N tu The number is the number of efficiency units of the board, which is calculated as follows: Among them, K represents the heat transfer coefficient of the plate exchanger, the unit is W / (m2*℃); A represents the heat transfer area of ​​the plate exchanger, the unit is m2.

[0088] The field synergy number characterizes the degree of flow field synergy and reflects the heat transfer performance and potential. Its value ranges from 0 to 1. The larger the value, the more uniform the temperatures of the two flow fields, that is, the better the heat transfer effect and the smaller the potential for improving heat transfer. When it is 1, it is an ideal state, indicating that the temperature difference between the cold and hot fluids in the heat exchanger is 0, the flow field is completely uniform, the heat transfer has reached the ideal state, and no further improvement can be made.

[0089] 1.3 Establishing cooling tower heat exchange model

[0090] The ε-NTU method is used to establish a cooling tower heat exchange model, and the cooling tower efficiency EEF is introduced to evaluate its performance. The water temperature and air parameters are considered in the model, and the cooling tower outlet water temperature is obtained by calculation.

[0091] In the ε-NTU method, the following assumptions need to be made about the environment: the air passing through the open cooling tower is assumed to be ideal saturated moist air, and the air temperature is equal to the wet-bulb temperature of the air actually passing through the cooling tower; the evaporation of water in the open cooling tower is ignored; the Lewis number is 1; and the air temperature on the cooling water surface is assumed to be equal to the water temperature, that is, the thermal conductivity of water is considered to be much greater than the thermal conductivity of the surface air.

[0092] In the heat exchange process of the cooling tower, the direction of heat always flows from the high-temperature cooling water to the air, so there is a heat equation in the cooling tower: Q = ε tower G tower,a (h tower,as,E -h tower,a,E )=c w G tower,w (T out,w '-T in,w ')

[0093] Among them, G tower,a , G tower,w They are air flow rate and water flow rate (cooling water flow rate), the unit is kg / s; c w is the specific heat capacity of water (specific heat capacity of cooling water), unit is kJ / (kg*K); T out,w '、T in,w' are the cooling tower inlet water temperature (outlet water temperature on the cooling water side) and outlet water temperature (inlet water temperature on the cooling water side), in °C; h tower,as,E 、h tower,a,E 、h tower,as,L They are the saturated air enthalpy value corresponding to the cooling tower inlet water temperature, the actual enthalpy value of the cooling tower inlet air, and the saturated air enthalpy value corresponding to the cooling tower outlet water temperature, and the unit is kJ / kg.

[0094] In the above formula, the cooling tower heat exchange efficiency ε tower The calculation of is as follows: in,

[0095] The number of energy efficiency units is calculated as follows: Among them, A tower Indicates the cooling capacity of the cooling tower (indicates the heat load that the cooling tower can handle per unit time), B tower Indicates cooling efficiency (referring to the cooling tower's ability to effectively remove heat from circulating water).

[0096] Combining the above formulas, we can get the outlet water temperature of the cooling tower as

[0097] When the efficiency of a cooling tower is expressed in temperature, it indicates the efficiency of the cooling tower in the heat transfer process. The ratio between the temperature difference between the inlet water temperature and the outdoor wet bulb temperature and the inlet and outlet water temperature difference indicates the heat removal capacity that the cooling tower can provide when cooling the cooling water. The calculation formula is: Among them, T wb is the outdoor wet-bulb temperature.

[0098] 1.4 Establishing the immersion liquid cooling system model

[0099] The system model integrates various modules, using temperature and flow as interaction objects to achieve model linkage. The model can be used to evaluate system operation and control, calculate outputs based on input parameters, and provide a basis for system optimization, such as evaluating existing systems and calculating reliability.

[0100] See the schematic diagram of the immersion liquid cooling system model of the liquid cooling data center for details. Figure 2 At the system level of the model, temperature and flow are used as interaction objects between the cabinet side, CDU side, and cooling tower side. The temperature and flow of the coolant flowing out of the cabinet after aggregation are the inlet and outlet temperature and flow of the plate heat exchanger coolant of the CDU, which is also the flow of the oil pump; the outlet water temperature of the cooling tower is the inlet water temperature of the CDU, the inlet water temperature of the cooling tower is the outlet water temperature of the CDU, and the water flow of the cooling tower is the total water flow of the CDU carried by the system.

[0101] The system model described above is divided into three parts: the primary side (cooling tower side), the secondary side (CDU side), and the cabinet side. Each part has its own heat exchange model, and they are linked through temperature and flow parameters. The cooling tower's outlet water temperature becomes the CDU's inlet water temperature, and the CDU's outlet water temperature in turn affects the coolant temperature on the cabinet side. The entire system model implements a linked cycle.

[0102] The modeling process described above uses a lumped parameter approach, which simplifies internal temperature variations and is suitable for situations with large differences in thermal resistance. Each subsystem then undergoes its own modeling steps. For example, the cabinet considers server heat generation and convective heat transfer of the coolant, the CDU uses a plate heat exchanger model, and the cooling tower calculates heat exchange efficiency.

[0103] This model algorithm uses the liquid outlet temperature of the cabinet with the highest liquid outlet temperature in the cabinet group as a reference, and uses this as the basis for adjustment to ensure that the liquid outlet temperature of each cabinet in the system is within a safe range. On the basis of ensuring system safety, the speed of the water pump is reduced as much as possible to control the system to achieve the most energy-saving system working state. The immersion liquid cooling system model control strategy algorithm logic is as follows Figure 3 shown.

[0104] The control strategy logic of the immersion liquid cooling system model is as follows: After inputting the cabinet's designed maximum liquid outlet temperature Tin,o`, the liquid outlet safety margin temperature ΔT0, the real-time loads of all cabinets Q1, Q2, Q3, Q4, Q5, Q6, etc., as well as the real-time liquid outlet temperature T1, T2, T3, T4, T5, T6, etc. of each cabinet, the outdoor wet-bulb temperature, the cooling tower's designed maximum inlet water temperature Tout,w`, and the equipment's own parameters, the average value of T1-T6 is calculated as the CDU inlet liquid temperature Tin,o, the cooling tower's outlet water temperature is calculated as the CDU inlet water temperature Tin,w, and Tout,w` is used as the CDU outlet water temperature. The CDU outlet liquid temperature Tout,w is calculated using the plate heat exchange model, and the cabinet-side heat exchange model is used to solve the oil pump flow rate, which serves as the basis for control. However, at this time, the outlet temperature of some cabinets may be higher than Tin,o`, so T1-T6 is compared with Tin,o`. If the outlet temperature of some cabinets is higher than Tin,o`, the oil pump speed is increased and the calculation is restarted, thus completing a complete cycle of model control.

[0105] 2IDC immersion liquid cooling system actual measurement and model verification

[0106] 2.1 IDC immersion liquid cooling system test

[0107] In order to verify the accuracy of the liquid cooling system model, study the temperature field of the actual working state in the cabinet, judge the flow state of the coolant and the uniformity of heat exchange, use a heating rod to simulate the heat generation of the server, set different load layout schemes and working conditions, collect system operation data, and conduct an immersion liquid cooling system actual measurement experiment. In the liquid cooling system experiment, the temperature field of a single cabinet is measured, multiple measurement points are arranged, and temperature data under four different working conditions are collected simultaneously. The cabinet numbers of this experiment and the two different load layout schemes in each cabinet are as follows: Figures 4 and 5 shown.

[0108] In this experiment, the heating rods were heated at a constant power level to simulate steady-state server operation. The experimental unit consisted of six units, each sharing two CDUs (one active and one standby). The six cabinets were designated G1-G6, with three groups of two cabinets each. The number of heating rods within each group varied. The load power of the experimental cabinets is shown in Table 1.

[0109] Table 1 Experimental cabinet load power

[0110]

[0111] This experiment used data from the CDU control panel to determine the system's operating status in real time. Based on this data, the water system valve opening and pump speed were adjusted through the panel. The resulting data included: the inlet and outlet oil temperatures of each cabinet throughout the entire operation process; the inlet and outlet oil temperatures and oil flow rates of the CDU; the inlet and outlet temperatures and flow rates of the CDU water system; the dry-bulb and wet-bulb temperatures of the outdoor air environment; and the inlet and outlet water temperatures and flow rates of the cooling tower.

[0112] This experiment has the above Figure 4 (Scheme 1) to Figure 5 (Scheme 2) has two different load arrangement schemes, with four operating conditions:

[0113] First operating condition: Cold start the system, turn on the oil pump and load power supply at the same time, the oil pump starts to run, driving the coolant in the cabinet to circulate, the oil pump speed is adjusted to 60% constant speed, the water system is closed, and the first operating condition is completed when the system runs to the CDU oil inlet temperature of 38℃.

[0114] Second operating condition: The water pump speed runs at 100%, and the oil pump speed continues to maintain the value of the first operating condition (60%). After the adjustment is completed, wait for the system to run while monitoring the CDU inlet temperature. When the oil temperature fluctuates within ±0.1℃ for 5 sampling intervals, it reaches steady state.

[0115] The third working condition: The oil pump speed is adjusted to 40%, and the water system remains unchanged. After the adjustment is completed, continue to wait for the system to run and continuously observe the CDU inlet temperature on the panel. When the coolant temperature fluctuates within ±0.1℃ for 5 sampling intervals, it reaches steady state.

[0116] The fourth working condition: adjust the oil pump speed to 80%, and the water system remains unchanged. After the adjustment is completed, the system begins to move in a balanced manner. Continuously observe the CDU inlet temperature on the panel. When the oil temperature fluctuates within ±0.1°C for 5 sampling intervals, steady state is reached.

[0117] Under experimental conditions, if the temperature fluctuation of the coolant inlet and outlet of the cabinet is ≤0.5℃ and lasts for five sampling intervals, the system operation is considered to have reached a steady state.

[0118] The parameters of the four working conditions of the experiment are shown in Table 2:

[0119] Table 2 Description of temperature field test conditions

[0120] Working condition classification Water pump / % Oil pump / % load / % First working condition 0 60 100 Second working condition 100 60 100 The third working condition 100 40 100 Fourth working condition 100 80 100

[0121] This experiment measured the temperature field within a liquid-cooled cabinet in a data center's immersion liquid cooling system. The maximum server load within a single cabinet was 11kW. To facilitate the placement of test instruments within the cabinet, oil-cooled heating rods with a nameplate indicating 10A-220V were used to simulate the load. Because the maximum load of a single liquid-cooled cabinet is 11kW and each heating rod has a power of 2.2kW, each cabinet can accommodate up to five heating rods. The cabinet used for data collection in this test was G1.

[0122] 2.2 Model verification calculation

[0123] Verification calculations were performed on the model at the cabinet side, CDU side, and cooling tower side. The experimental operating parameters were substituted into the model calculations and compared with the measured data.

[0124] The purpose of calculating the working conditions of the system is to compare the calculated values ​​with the measured values. The closer the calculated values ​​are to the measured values, the better the fit between the model and the actual system, and the more it can reflect the heat exchange conditions of the system.

[0125] The heat gain on the cooling water side and the cooling liquid side of the CDU is compared with the total heat generated by the cabinets that the CDU is responsible for. Because, ideally, all the heat generated by the cabinets on the secondary side enters the coolant and is then transferred from the coolant to the cooling water, the total heat generated by the cabinets should be numerically equal to the heat gain of the CDU's cooling liquid and cooling water. A numerical comparison is made between the total heat generated by the six cabinets, the heat gain of the CDU's cooling water, and the heat gain of the cooling liquid. Using the total heat generated by the six cabinets as a benchmark, the calculated heat gain on the CDU's cooling liquid side is compared with the heat gain on the cooling water side. The verification results show that the distribution of the heat gain on the cooling liquid side and the heat gain on the cooling water side are both within ±5% of the total heat generated by the cabinets. For the distribution, see Figure 6, indicating that the heat transfer models on the CDU and cabinet sides are well connected, with a heat loss error of ≤±5%. The heat transfer model can be used for calculations with oil temperature and oil flow as the input and output relationship.

[0126] On the cabinet side, the same research method as that used on the CDU side was used to compare the measured data with the calculated data. The calculated values ​​of the cabinet coolant outlet temperature for each working condition under the two schemes were compared with the measured values. The calculated values ​​were used as a benchmark to verify the degree of concentration of the measured data. The verification results for the second working condition are as follows: Figure 7 As shown by Figure 7 It can be seen that the measured data are distributed within ±10% of the calculated data under the same operating point.

[0127] The comparison and summary of the measured data and the calculated results show that the model is highly consistent with the actual system heat exchange conditions, with the error within a certain range. The cabinet side and CDU side models are reliable and can accurately describe the system heat exchange conditions, providing a basis for model application.

[0128] 3. Application of immersion liquid cooling system operation optimization

[0129] 3.1 Self-optimization of the system's optimal operating conditions

[0130] To reduce system energy consumption and address the dynamic loads of actual servers and outdoor climate fluctuations, an algorithm was developed to identify optimal operating conditions. This algorithm considers safety requirements and energy conservation, using a model to calculate energy consumption under different operating conditions and output optimal operating parameters, such as the optimal CDU outlet temperature and system power consumption.

[0131] 3.2 System Reliability Evaluation

[0132] The model assesses system reliability, taking into account cabinet load and outdoor environmental parameters. The algorithm determines whether the system can operate safely under different operating conditions and quantifies reliability, such as calculating "annual non-guaranteed hours," to provide a reference for operations and maintenance.

[0133] 3.3 System Control Strategy

[0134] An oil pump speed control algorithm has been developed for large liquid cooling systems. Based on parameters such as the cabinet's real-time load and liquid outlet temperature, the CDU's liquid inlet temperature is calculated. The oil pump flow rate is calculated using a plate heat exchanger model and a cabinet-side heat exchange model. This algorithm then controls the oil pump speed to ensure the cabinet's liquid outlet temperature remains within a safe range, reducing energy consumption.

[0135] The dynamic working process of the system is a process of dynamic changes in multiple parameters. The dynamic characteristics are reflected in the fact that the power of the server inside the cabinet may change in real time, and the outdoor air environment may also change in real time. Therefore, in the control logic of the immersion liquid cooling system, it is necessary to adjust the speed of the water pump and oil pump in real time.

[0136] The actual IDC server does not always run at rated power. As the network status and computing needs change, the load in the cabinet changes at any time, so adjusting the speed of the variable frequency oil pump can achieve the goal of energy saving.

[0137] 3.4 Comprehensive performance evaluation

[0138] An evaluation algorithm is established to conduct a comprehensive performance evaluation of the existing system. Field synergy coefficient and cooling tower efficiency EEF are introduced as evaluation indicators to calculate the system's transmission and distribution energy consumption, quantify the system's working conditions and heat exchange effects in real time, and provide a basis for system optimization.

[0139] Currently, existing immersion liquid cooling data center systems have yet to achieve the same market share as air cooling systems, resulting in limited research on system evaluation and quantification of actual heat transfer potential and effectiveness. The immersion liquid cooling system model developed this time can address this issue to a certain extent. The heat transfer model established for a specific system can more accurately represent the heat transfer process of the entire system. The evaluation indicators and physical quantities calculated for the parameters input into the model during the heat transfer process can provide more accurate and real-time quantitative results for specific evaluation parameters, providing effective, accurate, and timely feedback on the system as a basis for evaluating its operating status.

[0140] In addition to evaluating existing systems, the model can also be used to predict the effects of the selected primary, secondary, and cabinet sides, and provide actual evaluation index calculation results. The quality of the calculation results can directly reflect the degree of matching between the primary and secondary side modules of the system.

[0141] The embodiments of the present application also provide a communication room performance evaluation device. It should be noted that the communication room performance evaluation device of the embodiments of the present application can be used to execute the communication room performance evaluation method provided in the embodiments of the present application. The device is used to implement the above-mentioned embodiments and preferred implementation methods, and the details that have been explained will not be repeated. As used below, the term "module" can be a combination of software and / or hardware that implements a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and conceivable.

[0142] The following introduces the communication room performance evaluation device provided in the embodiment of the present application.

[0143] Figure 8 1 is a structural block diagram of a communication room performance evaluation device according to an embodiment of the present application. Figure 8As shown, the apparatus includes a first establishing unit 10 , a second establishing unit 20 , a third establishing unit 30 and an evaluating unit 40 . Among them, the first establishment unit is used to establish a liquid cooling cabinet heat exchange model using the lumped parameter method based on the convective heat transfer process parameters between the server and the cooling liquid in the liquid cooling cabinet; the second establishment unit is used to establish a cooling distribution unit heat exchange model according to the heat exchange process parameters and flow distribution process parameters between the cooling liquid in the cooling distribution unit and the cooling water in the above cooling distribution unit, wherein the cooling liquid in the above cooling distribution unit comes from the cooling liquid in the above liquid cooling cabinet, and the cooling water in the above cooling distribution unit comes from the cooling water in the cooling tower; the third establishment unit is used to establish a cooling tower heat exchange model using the efficiency-heat transfer unit method according to the heat exchange process parameters between the cooling water in the above cooling tower and the air; the evaluation unit is used to establish an immersion liquid cooling system model of the liquid cooling data center based on the above liquid cooling cabinet heat exchange model, the above cooling distribution unit heat exchange model and the above cooling tower heat exchange model, and use the above immersion liquid cooling system model to evaluate the comprehensive performance of the above liquid cooling data center to obtain the performance evaluation result of the above liquid cooling data center, and use the above performance evaluation result to monitor the cooling efficiency of the above liquid cooling data center.

[0144] Through this embodiment, a model of an immersion liquid cooling system covering liquid-cooled cabinets, cooling distribution units, and cooling towers is systematically constructed by using thermodynamic modeling methods such as the lumped parameter method and the efficiency-heat transfer unit method. This model can accurately reflect the heat exchange process and energy flow between modules within a liquid-cooled data center, thereby achieving a comprehensive quantification and evaluation of the comprehensive heat exchange efficiency and energy consumption level of the liquid-cooled data center, thereby solving the problem of limitations of the existing methods for evaluating the comprehensive performance of liquid-cooled data centers, including inaccurate and incomplete evaluations.

[0145] In a specific implementation process, the first establishment unit includes a first construction module, a first calculation module, a second calculation module, and a first establishment module. The first construction module is used to construct an equivalent model, in which the liquid cooling cabinet is equivalent to a whole, and the server is equivalent to a heat point with uniform temperature; the first calculation module is used to apply the lumped parameter method based on the equivalent model, with the inlet and outlet of the cooling liquid in the liquid cooling cabinet as the boundary, and adopt the first formula Q=hS(T w -T f ) calculate the convective heat transfer between the coolant in the liquid cooling cabinet and the server, where Q is the convective heat transfer between the coolant in the liquid cooling cabinet and the server, h is the convective heat transfer coefficient of the convective heat transfer, S is the contact surface area between the server and the coolant in the liquid cooling cabinet, and T w is the wall temperature of the above server, T fis the temperature of the coolant between the servers; the second calculation module is used to calculate the total heat transfer value between the servers and the coolant in the liquid-cooling cabinet using the second formula Q'=mCΔT, wherein Q' is the total heat transfer value, m is the mass of the coolant in the liquid-cooling cabinet, C is the specific heat capacity of the coolant in the liquid-cooling cabinet, and ΔT is the temperature difference before and after the coolant in the liquid-cooling cabinet is heated; the first establishment module is used to establish the heat exchange model of the liquid-cooling cabinet based on the first formula and the second formula.

[0146] In some embodiments of the present application, the second establishing unit includes a second establishing module, a second building module, a third calculating module and a third establishing module. The second establishing module is used to calculate the value of the third formula Q according to the third formula Q. oil =G oil C oil (T in,oil -T out,oil ), the fourth formula Q W =G w C w (T out,w -T in,w ) and the fifth formula Q oil =Q W +Q loss Establish the heat exchange model between the coolant side and the cooling water side, where T in,oil is the inlet temperature of the coolant side, T out,oil is the outlet temperature of the coolant side, T in,w is the inlet water temperature on the cooling water side, T out,w is the outlet water temperature of the cooling water side, Q oil is the heat released from the coolant side, G oil is the flow rate of the above coolant, C oil is the specific heat capacity of the above coolant, Q W is the heat absorbed by the cooling water side, G w is the flow rate of the cooling water, C w is the specific heat capacity of the cooling water, Q loss is the heat loss of the above-mentioned coolant, the above-mentioned coolant side is the inlet and outlet of the coolant in the above-mentioned cooling distribution unit, and the above-mentioned cooling water side is the inlet and outlet of the cooling water in the above-mentioned cooling distribution unit; the second building block is used to calculate the heat loss of the above-mentioned coolant according to the sixth formula Seventh formula η m (x) = b × (1-e kx ) and the eighth formula η vfd (x) = α + βx - γx 2 +μx 3 Construct an energy consumption model for the variable frequency pump, where P is the energy consumption of the variable frequency pump, H is the head of the variable frequency pump, Q is the flow rate of the variable frequency pump, and ηvfd is the comprehensive efficiency of the variable frequency pump, η m is the motor efficiency of the above-mentioned variable frequency pump, x is the load rate of the above-mentioned variable frequency pump, ρ is the density of the fluid in the above-mentioned variable frequency pump, g is the acceleration of gravity, and a, b, k, α, β, γ, and μ are constants; the third calculation module is used to calculate the field synergy coefficient of the plate heat exchanger in the above-mentioned cooling distribution unit, and the above-mentioned field synergy coefficient is an indicator for quantifying the internal heat exchange performance of the above-mentioned plate heat exchanger; the third establishment module is used to establish the heat exchange model of the above-mentioned cooling distribution unit based on the heat exchange model of the above-mentioned coolant side and the cooling water side, the energy consumption model of the above-mentioned variable frequency pump and the above-mentioned field synergy coefficient.

[0147] In some other embodiments of the present application, the third establishing unit includes a fourth calculating module, a fifth calculating module and a first determining module. The fourth calculating module is used to calculate the number of energy efficiency units based on the air flow rate and the cooling water flow rate; the fifth calculating module is used to use the ninth formula Calculate the heat exchange efficiency of the cooling tower above, where ε tower For the above heat exchange efficiency, NTU tower is the number of energy efficiency units mentioned above, G tower,a is the air flow rate, G tower,w is the cooling water flow rate, c w is the specific heat capacity of the cooling water, h tower,as,E is the saturated air enthalpy corresponding to the cooling tower inlet water temperature, h tower,as,L is the saturated air enthalpy corresponding to the cooling tower outlet water temperature, T out,w ' is the inlet water temperature of the cooling tower, T in,w 'For the cooling tower outlet water temperature; the first determination module is used to use the tenth formula Determine the efficiency of the cooling tower, where EEF is the efficiency of the cooling tower, T wb is the outdoor wet-bulb temperature; the cooling tower heat exchange model is established based on the above ninth formula and the above tenth formula.

[0148] In order to fully understand the operating status of the liquid-cooled data center cooling system, optimize energy efficiency, and ensure that the server operates at the optimal temperature, the above-mentioned evaluation unit includes a combination module and a second determination module. Among them, the combination module is used to combine the above-mentioned liquid-cooled cabinet heat exchange model, the above-mentioned cooling capacity distribution unit heat exchange model and the above-mentioned cooling tower heat exchange model through temperature parameters and flow parameters to obtain the above-mentioned immersion liquid cooling system model. In the above-mentioned immersion liquid cooling system model, the outlet temperature and outlet flow rate of the coolant in the above-mentioned liquid-cooled cabinet are used as input parameters as the inlet temperature and inlet flow rate of the coolant in the above-mentioned cooling capacity distribution unit. The above-mentioned input parameters are also used to control the flow rate of the oil pump in the above-mentioned liquid-cooled cabinet; the second determination module is used to determine the outlet water temperature and inlet water temperature of the above-mentioned cooling tower as the inlet water temperature and outlet water temperature of the cooling water in the above-mentioned cooling capacity distribution unit.

[0149] Furthermore, the above-mentioned evaluation unit also includes an input module for inputting the actual operating parameters of the above-mentioned liquid-cooled data center into the above-mentioned immersion liquid cooling system model to obtain the above-mentioned performance evaluation results of the above-mentioned liquid-cooled data center, wherein the above-mentioned actual operating parameters include the load of the above-mentioned liquid-cooled cabinet, the inlet and outlet temperature and flow rate of the cooling liquid in the above-mentioned cooling distribution unit, the inlet and outlet temperature and flow rate of the cooling water in the above-mentioned cooling distribution unit, the temperature and flow rate of the cooling water in the above-mentioned cooling tower, and outdoor environmental conditions, wherein the above-mentioned performance evaluation results include the comprehensive heat exchange efficiency and energy consumption of the above-mentioned liquid-cooled data center.

[0150] Furthermore, the above-mentioned device also includes an input unit, a first determination unit, a second determination unit and a calculation unit. Among them, the input unit is used to input preset control strategy parameters into the above-mentioned immersion liquid cooling system model after establishing the immersion liquid cooling system model of the liquid-cooled data center based on the above-mentioned liquid cooling cabinet heat exchange model, the above-mentioned cooling distribution unit heat exchange model and the above-mentioned cooling tower heat exchange model. The above-mentioned preset control strategy parameters include the design maximum liquid outlet temperature of the above-mentioned liquid cooling cabinet, the liquid outlet safety margin temperature, the real-time load of the above-mentioned liquid cooling cabinet, the real-time liquid outlet temperature of the above-mentioned liquid cooling cabinet, the outdoor wet-bulb temperature and the design maximum inlet water temperature of the above-mentioned cooling tower; the first determination unit is used to determine the average value of the real-time liquid outlet temperatures of all the above-mentioned liquid cooling cabinets as the above-mentioned cooling capacity distribution unit heat exchange model. The cooling water outlet temperature of the cooling water in the cooling tower is determined as the cooling water inlet temperature of the cooling water in the cooling distribution unit; the second determining unit is used to determine the designed maximum inlet temperature of the cooling tower as the cooling water outlet temperature of the cooling water in the cooling distribution unit; the calculating unit is used to calculate the cooling water outlet temperature of the cooling water in the cooling distribution unit through the heat exchange model of the cooling distribution unit, and compare the cooling water outlet temperature of the cooling water in the cooling distribution unit with the designed maximum outlet temperature of the liquid cooling cabinet, and adjust the flow rate and speed of the oil pump in the liquid cooling cabinet according to the comparison result.

[0151] In order to ensure that the immersion liquid cooling system model can truly reflect the cooling system performance of the liquid-cooled data center, in some embodiments of the present application, the above-mentioned device also includes a collection unit and a testing unit. Among them, the collection unit is used to collect the operating parameters of the above-mentioned liquid-cooled data center, and the above-mentioned operating parameters include the inlet and outlet temperatures of the coolant of the above-mentioned liquid cooling cabinet, the inlet and outlet temperatures and flow of the coolant of the above-mentioned cooling distribution unit, the inlet and outlet temperatures and flow of the cooling water of the above-mentioned cooling tower, and the outdoor wet-bulb temperature. The above-mentioned operating parameters are obtained by selecting the above-mentioned liquid cooling cabinet for experiment in the above-mentioned liquid cooling data center, using a heating rod to simulate the heat source of the above-mentioned server, and implementing different load layout schemes and working conditions; the testing unit is used to use the above-mentioned immersion liquid cooling system model to test the performance of the above-mentioned liquid cooling data center under different preset experimental conditions, obtain test results, and compare the above-mentioned test results with the measured data to evaluate the accuracy of the above-mentioned immersion liquid cooling system model, wherein the above-mentioned preset experimental conditions are set based on the speed of the oil pump and the water pump.

[0152] The communication room performance evaluation device includes a processor and a memory. The first establishment unit, the second establishment unit, the third establishment unit, the evaluation unit, and the like are all stored as program units in the memory. The processor executes the program units stored in the memory to implement the corresponding functions. The modules are all located in the same processor; alternatively, the modules can be located in different processors in any combination.

[0153] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0154] An embodiment of the present invention provides a computer-readable storage medium, which includes a stored program. When the program is executed, the device where the computer-readable storage medium is located is controlled to execute the communication room performance evaluation method.

[0155] An embodiment of the present invention provides an electronic device including a processor, a memory, and a program stored in the memory and executable on the processor. When the processor executes the program, the steps of the communication room performance evaluation method described above are implemented. The device herein may be a server, a PC, a PAD, a mobile phone, or the like.

[0156] The present application also provides a computer program product, which, when executed on a data processing device, is suitable for executing a program that initializes the steps of the communication room performance evaluation method.

[0157] Obviously, those skilled in the art will appreciate that the various modules or steps of the present invention described above can be implemented using a general-purpose computing device, can be centralized on a single computing device, or can be distributed across a network of multiple computing devices. They can be implemented using program code executable by the computing device, and thus, can be stored in a storage device and executed by the computing device. In some cases, the steps shown or described herein can be performed in a different order than that shown, or can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. Thus, the present invention is not limited to any particular combination of hardware and software.

[0158] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0159] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the steps in the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0160] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0161] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0162] In a typical configuration, a computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory.

[0163] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0164] Computer-readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. The information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory media such as modulated data signals and carrier waves.

[0165] It should also be noted that the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, commodity, or apparatus that includes a series of elements includes not only those elements but also other elements not explicitly listed, or includes elements inherent to such process, method, commodity, or apparatus. In the absence of further limitations, an element defined by the phrase "comprises a ..." does not exclude the presence of other identical elements in the process, method, commodity, or apparatus that includes the element.

[0166] The above description is merely a preferred embodiment of the present application and is not intended to limit the present application. Various modifications and variations are possible for those skilled in the art. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present application shall be included within the scope of protection of the present application.

Claims

1. A communication room performance evaluation method, characterized in that: The communication room includes a liquid-cooled data center, including: Based on the convection heat transfer process parameters between the server and the coolant in the liquid cooling cabinet, the liquid cooling cabinet heat transfer model is established using the lumped parameter method; Establishing a heat exchange model of the cooling distribution unit according to heat exchange process parameters and flow distribution process parameters between the cooling liquid in the cooling distribution unit and the cooling water in the cooling distribution unit, wherein the cooling liquid in the cooling distribution unit originates from the cooling liquid in the liquid cooling cabinet, and the cooling water in the cooling distribution unit originates from the cooling water in the cooling tower; According to the heat exchange process parameters between the cooling water and the air in the cooling tower, a cooling tower heat exchange model is established by using the efficiency-heat transfer unit method; Based on the liquid-cooled cabinet heat exchange model, the cooling distribution unit heat exchange model and the cooling tower heat exchange model, an immersion liquid cooling system model of the liquid-cooled data center is established, and the immersion liquid cooling system model is used to evaluate the comprehensive performance of the liquid-cooled data center to obtain a performance evaluation result of the liquid-cooled data center. The performance evaluation result is used to monitor the cooling efficiency of the liquid-cooled data center.

2. The method according to claim 1, characterized in that Based on the convection heat transfer process parameters between the server and the coolant in the liquid cooling cabinet, a liquid cooling cabinet heat transfer model is established using the lumped parameter method, including: Constructing an equivalent model, in which the liquid cooling cabinet is equivalent to a whole, and the server is equivalent to a heat point with uniform temperature; Based on the equivalent model, the lumped parameter method is applied, and the inlet and outlet of the cooling liquid in the liquid cooling cabinet are used as the boundary, and the first formula Q=hS(T w -T f ) calculates the convective heat transfer between the coolant in the liquid cooling cabinet and the server, where Q is the convective heat transfer between the coolant in the liquid cooling cabinet and the server, h is the convective heat transfer coefficient, S is the contact surface area between the server and the coolant in the liquid cooling cabinet, and T w is the wall temperature of the server, T f is the temperature of the coolant between the servers; The total heat transfer value between the server and the coolant in the liquid cooling cabinet is calculated using the second formula Q'=mCΔT, where Q' is the total heat transfer value, m is the mass of the coolant in the liquid cooling cabinet, C is the specific heat capacity of the coolant in the liquid cooling cabinet, and ΔT is the temperature difference between the coolant in the liquid cooling cabinet before and after heating; The liquid cooling cabinet heat exchange model is established based on the first formula and the second formula.

3. The method according to claim 1, characterized in that A heat exchange model of the cooling distribution unit is established according to the heat exchange process parameters and flow distribution process parameters between the coolant in the cooling distribution unit and the cooling water in the cooling distribution unit, including: According to the third formula Q oil =G oil C oil (T in,oil -T out,oil ), the fourth formula Q W =G w C w (T out,w -T in,w ) and the fifth formula Q oil =Q W +Q loss Establish the heat exchange model between the coolant side and the cooling water side, where T in,oil is the inlet temperature of the coolant side, T out,oil is the outlet temperature of the coolant side, T in,w is the inlet water temperature of the cooling water side, T out,w is the outlet water temperature of the cooling water side, Q oil is the heat released by the coolant side, G oil is the flow rate of the coolant, C oil is the specific heat capacity of the coolant, Q W is the heat absorbed by the cooling water side, G w is the flow rate of the cooling water, C w is the specific heat capacity of the cooling water, Q loss is the heat loss of the coolant, the coolant side is the inlet and outlet of the coolant in the cold distribution unit, and the cooling water side is the inlet and outlet of the cooling water in the cold distribution unit; According to the sixth formula Seventh formula η m (x) = b × (1-e kx ) and the eighth formula η vfd (x) = α + βx - γx 2 +μx 3 Construct an energy consumption model for the variable frequency pump, where P is the energy consumption of the variable frequency pump, H is the head of the variable frequency pump, Q is the flow rate of the variable frequency pump, and η vfd is the comprehensive pump efficiency of the variable frequency pump, η m is the motor efficiency of the variable frequency pump, x is the load rate of the variable frequency pump, ρ is the density of the fluid in the variable frequency pump, g is the acceleration of gravity, and a, b, k, α, β, γ, and μ are constants; Calculating a field synergy factor of the plate heat exchanger in the cooling distribution unit, wherein the field synergy factor is an indicator for quantifying the internal heat exchange performance of the plate heat exchanger; The heat exchange model of the cooling capacity distribution unit is established based on the heat exchange model of the coolant side and the cooling water side, the energy consumption model of the variable frequency pump and the field synergy coefficient.

4. The method according to claim 1, wherein According to the heat exchange process parameters between the cooling water and the air in the cooling tower, the heat exchange model of the cooling tower is established by using the efficiency-heat transfer unit method, including: Calculate the number of energy efficiency units based on air flow and cooling water flow; Using the ninth formula Calculate the heat exchange efficiency of the cooling tower, where ε tower is the heat exchange efficiency, NTU tower is the number of energy efficiency units, G tower,a is the air flow rate, G tower,w is the cooling water flow rate, c w is the specific heat capacity of the cooling water, h tower,as,E is the saturated air enthalpy corresponding to the cooling tower inlet water temperature, h tower,as,L is the saturated air enthalpy corresponding to the cooling tower outlet water temperature, T out,w ' is the cooling tower inlet water temperature, T in,w ' is the cooling tower outlet water temperature; Using the tenth formula Determine the efficiency of the cooling tower, where EEF is the efficiency of the cooling tower, T wb is the outdoor wet-bulb temperature; The cooling tower heat exchange model is established based on the ninth formula and the tenth formula.

5. The method according to claim 1, characterized in that Based on the liquid cooling cabinet heat exchange model, the cooling distribution unit heat exchange model, and the cooling tower heat exchange model, an immersion liquid cooling system model of a liquid cooling data center is established, including: The liquid cooling cabinet heat exchange model, the cooling distribution unit heat exchange model and the cooling tower heat exchange model are combined through temperature parameters and flow parameters to obtain the immersion liquid cooling system model. In the immersion liquid cooling system model, the outlet temperature and outlet flow rate of the coolant in the liquid cooling cabinet are used as input parameters as the inlet temperature and inlet flow rate of the coolant in the cooling distribution unit. The input parameters are also used to control the flow rate of the oil pump in the liquid cooling cabinet. The outlet water temperature and the inlet water temperature of the cooling tower are determined as the inlet water temperature and the outlet water temperature of the cooling water in the cooling capacity distribution unit.

6. The method according to claim 1, characterized in that The comprehensive performance of the liquid-cooled data center is evaluated using the immersion liquid cooling system model to obtain a performance evaluation result of the liquid-cooled data center, including: Inputting actual operating parameters of the liquid-cooled data center into the immersion liquid cooling system model to obtain the performance evaluation result of the liquid-cooled data center, wherein the actual operating parameters include the load of the liquid-cooled cabinet, the inlet and outlet temperature and flow rate of the coolant in the cooling distribution unit, the inlet and outlet temperature and flow rate of the cooling water in the cooling distribution unit, the temperature and flow rate of the cooling water in the cooling tower, and outdoor environmental conditions, The performance evaluation results include the comprehensive heat exchange efficiency and energy consumption of the liquid-cooled data center.

7. The method according to claim 1, characterized in that After establishing an immersion liquid cooling system model of a liquid-cooled data center based on the liquid-cooled cabinet heat exchange model, the cooling distribution unit heat exchange model, and the cooling tower heat exchange model, the method further includes: Inputting preset control strategy parameters into the immersion liquid cooling system model, the preset control strategy parameters including the designed maximum liquid outlet temperature of the liquid cooling cabinet, the liquid outlet safety margin temperature, the real-time load of the liquid cooling cabinet, the real-time liquid outlet temperature of the liquid cooling cabinet, the outdoor wet-bulb temperature, and the designed maximum water inlet temperature of the cooling tower; Determining the average value of the real-time liquid outlet temperatures of all the liquid-cooled cabinets as the liquid inlet temperature of the coolant in the cooling distribution unit, and determining the outlet temperature of the cooling water in the cooling tower as the inlet temperature of the cooling water in the cooling distribution unit; Determining the designed maximum water inlet temperature of the cooling tower as the water outlet temperature of the cooling water in the cooling distribution unit; The outlet temperature of the coolant in the cooling distribution unit is obtained by calculating the heat exchange model of the cooling distribution unit, and the outlet temperature of the coolant in the cooling distribution unit is compared with the designed maximum outlet temperature of the liquid cooling cabinet, and the flow rate and speed of the oil pump in the liquid cooling cabinet are adjusted according to the comparison result.

8. The method according to claim 1, characterized in that The method further comprises: Collecting operating parameters of the liquid-cooled data center, including the inlet and outlet temperatures of the coolant of the liquid-cooled cabinet, the inlet and outlet temperatures and flow rates of the coolant of the cooling distribution unit, the inlet and outlet temperatures and flow rates of the cooling water of the cooling tower, and the outdoor wet-bulb temperature. The operating parameters were obtained by conducting experiments in the liquid-cooled data center using the liquid-cooled cabinet, using heating rods to simulate the heat source of the server, and implementing different load placement schemes and operating conditions. The immersion liquid cooling system model is used to test the performance of the liquid-cooled data center under different preset experimental conditions, and test results are obtained. The test results are compared with measured data to evaluate the accuracy of the immersion liquid cooling system model, wherein the preset experimental conditions are set based on the rotational speeds of the oil pump and the water pump.

9. A communication room performance evaluation device, characterized in that: The communication room includes a liquid-cooled data center, including: The first establishing unit is configured to establish a heat transfer model of the liquid cooling cabinet using a lumped parameter method based on convection heat transfer process parameters between the server and the coolant in the liquid cooling cabinet; a second establishing unit, configured to establish a heat exchange model of the cooling distribution unit according to heat exchange process parameters and flow distribution process parameters between the cooling liquid in the cooling distribution unit and the cooling water in the cooling distribution unit, wherein the cooling liquid in the cooling distribution unit originates from the cooling liquid in the liquid cooling cabinet, and the cooling water in the cooling distribution unit originates from the cooling water in the cooling tower; A third establishing unit is used to establish a cooling tower heat exchange model using an efficiency-heat transfer unit method according to the heat exchange process parameters between the cooling water and the air in the cooling tower; An evaluation unit is used to establish an immersion liquid cooling system model of a liquid-cooled data center based on the liquid-cooled cabinet heat exchange model, the cooling distribution unit heat exchange model, and the cooling tower heat exchange model, and use the immersion liquid cooling system model to evaluate the comprehensive performance of the liquid-cooled data center to obtain a performance evaluation result of the liquid-cooled data center, and use the performance evaluation result to monitor the cooling efficiency of the liquid-cooled data center.

10. An electronic device, characterized in that: include: One or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and are configured to be executed by the one or more processors, and the one or more programs include a method for executing the communication room performance evaluation method according to any one of claims 1 to 8.

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