A method and device for calculating adjustable capacity of a cooling system, an electronic device, and a storage medium

Abstract

The present application relates to the technical field of cooling supply system control, and especially relates to a cooling supply system adjustable capacity calculation method and device, electronic equipment and storage medium, the present application constructs a cooling supply system adjustable capacity calculation model containing a first module and a second module, takes the given adjustment time as an input parameter, calculates the up-regulation capacity and down-regulation capacity of the water system based on the chilled water outlet temperature measured value, return water temperature measured value and outlet temperature set value by the first module, calculates the up-regulation capacity and down-regulation capacity of the air system based on the fan operating frequency measured value, hotspot area measuring point temperature, adjustment time and chilled water outlet temperature measured value by the second module, realizes the real-time calculation of the cooling supply system adjustable capacity driven by the adjustment time, can output the corresponding maximum adjustable capacity for different adjustment times, and overcomes the defect that the existing method cannot evaluate the adjustable capacity under different times in real time.

Description

Technical Field

[0001] This invention relates to the field of cooling system control technology, and in particular to a method, apparatus, electronic device, and storage medium for calculating the adjustable capacity of a cooling system. Background Technology

[0002] With the popularization of the concept of computer-power synergy, the accurate assessment of the flexible regulation capability of cooling systems, as a major component of building and data center energy consumption, has become a core prerequisite for energy optimization and grid interaction. Cooling systems typically consist of a water system (chilled water network) and a ventilation system (air conditioning fans), which work together to regulate the temperature of the end-user space. Since both the water and ventilation systems have a certain regulation margin, and the heat capacity of the end-user space provides short-term temperature maintenance capabilities, the overall cooling system has significant flexible regulation potential, enabling peak shaving and valley filling of energy consumption through methods such as water-side cold storage and wind-side frequency conversion. Therefore, accurate assessment of the flexible regulation capability of cooling systems is crucial for evaluating their overall demand-side response capability.

[0003] Currently, this field mainly employs a combined approach of physical modeling and algorithm optimization to calculate the optimal operating strategy of the system. For example, Chinese invention patent CN117878887A discloses a variable temperature regulation method for data center cooling loads that considers carbon efficiency. This method establishes an energy consumption model and a response potential model for the cooling system, and achieves optimal operation control of the cooling system through coordinated scheduling of the water system and the air system.

[0004] However, existing methods output the optimal operating strategy under specific peak-shaving scenarios, making it difficult to provide the maximum adjustable capacity of the system under current operating conditions and for different adjustment durations in real time. Furthermore, although both the water and air systems in the cooling system have adjustment capabilities, they are coupled during operation. Changes in the water supply temperature directly affect the heat exchange efficiency on the air side, resulting in a trade-off between their adjustable capacities. Modeling them as independent subsystems can easily lead to an overestimation of the total adjustable capacity. Summary of the Invention

[0005] In view of this, the purpose of the present invention is to provide a method, apparatus, electronic device, and storage medium for calculating the adjustable capacity of a cooling system.

[0006] In a first aspect, embodiments of the present invention provide a method for calculating the adjustable capacity of a cooling system, the method comprising: Acquire the given adjustment duration, chilled water outlet temperature setpoint, fan operating frequency setpoint, and real-time operating parameters generated by the power supply system during operation; the real-time operating parameters include at least the measured chilled water outlet temperature, the measured chilled water return temperature, the measured fan operating frequency, and the temperature at the measurement point in the hot spot area of ​​the data center; Input the given adjustment time, measured chilled water outlet temperature, measured chilled water return temperature, and set chilled water outlet temperature into the first module of the pre-built adjustable capacity calculation model of the cooling system, and output the water system upward adjustment capacity and water system downward adjustment capacity. The measured values ​​of the fan operating frequency, the temperature of the hot spot area in the data center, the given adjustment time, and the measured values ​​of the chilled water outlet temperature are input into the second module of the pre-built adjustable capacity calculation model of the cooling system, and the upward and downward adjustment capacity of the air system is output. If the measured values ​​of chilled water outlet temperature, chilled water return temperature, and temperature at the hot spot area of ​​the data center all meet their respective preset safe operating limits, the upward adjustment capacity of the water system and the upward adjustment capacity of the air system are added together to obtain the total upward adjustment capacity of the cooling system, and the downward adjustment capacity of the water system and the downward adjustment capacity of the air system are added together to obtain the total downward adjustment capacity of the cooling system.

[0007] In conjunction with the first aspect, the given adjustment time, measured chilled water outlet temperature, measured chilled water return temperature, and setpoint chilled water outlet temperature are input into the first module of the pre-built adjustable capacity calculation model of the cooling system. The output steps for adjusting the water system capacity upward and downward include: Based on the measured values ​​of chilled water return temperature and chilled water outlet temperature, calculate the real-time and maximum chilled water storage capacity of the chilled water network. Calculate the chilled water outlet temperature upward adjustment coefficient and the chilled water outlet temperature downward adjustment coefficient based on the set value of the chilled water outlet temperature and its allowable upper and lower limits; Calculate the upper limit constraint coefficient of the return water temperature based on the measured value of the chilled water return water temperature and the preset return water temperature warning temperature; Based on the real-time pipe storage capacity, maximum pipe storage capacity, outlet water temperature adjustment coefficient, chilled water outlet temperature adjustment coefficient, return water temperature upper limit constraint coefficient, and adjustment time, the water system upward adjustment capacity and water system downward adjustment capacity are calculated.

[0008] Combining the first aspect, the measured values ​​of the fan operating frequency, the temperature of the data center hotspot area, the given adjustment time, and the measured values ​​of the chilled water outlet temperature are input into the second module. The output steps for increasing and decreasing the air system capacity include: Calculate the dynamic hotspot temperature comprehensive constraint coefficient based on the temperature measurement points and adjustment duration in the hotspot areas of the data center; Calculate the air-water system coupling coefficient based on the chilled water outlet temperature setpoint, the measured chilled water outlet temperature, the fan operating frequency setpoint, and the measured fan operating frequency. Based on the measured value of the fan operating frequency, the set value of the fan operating frequency, the comprehensive constraint coefficient of the dynamic hot spot temperature, and the coupling coefficient of the air-water system, the upward adjustment capacity and downward adjustment capacity of the air system are calculated.

[0009] In conjunction with the first aspect, the steps for calculating the dynamic hotspot temperature comprehensive constraint coefficient based on the temperature measured at key points in the data center's hotspot area and the adjustment duration include: The current weighted hotspot temperature is obtained by weighted summation based on the temperature of each hotspot area and its corresponding weight. The measured instantaneous temperature rise rate is determined based on the change in hot spot temperature between adjacent time periods, and the measured instantaneous temperature rise rate is multiplied by the online error adaptive correction coefficient to obtain the corrected temperature rise rate. The corrected temperature rise rate is segmented according to the adjustment duration. If the adjustment duration does not exceed the preset threshold, the corrected temperature rise rate is used directly. If it exceeds the preset threshold, the corrected temperature rise rate is subjected to exponential decay to obtain the average temperature rise rate during the adjustment period. Based on the current weighted hotspot temperature and average temperature rise rate, calculate the predicted hotspot temperature after the adjustment period ends; The dynamic hotspot temperature comprehensive constraint coefficient is calculated based on the current weighted hotspot temperature relative to the allowable temperature boundary and the average temperature rise rate.

[0010] In conjunction with the first aspect, the steps for calculating the coupling coefficient of the air-water system based on the setpoint of the chilled water outlet temperature, the measured value of the chilled water outlet temperature, the setpoint of the fan operating frequency, and the measured value of the fan operating frequency include: The criteria for adjusting the water-side cooling capacity are determined based on the setpoint of the chilled water outlet temperature, the measured value of the chilled water outlet temperature, and the upper and lower limits of the allowable chilled water outlet temperature. The criterion for adjusting the air-side cooling capacity is determined based on the degree to which the cube of the ratio of the set value of the fan operating frequency to the measured value of the fan operating frequency deviates from 1. Calculate the ratio of the water-side cooling capacity adjustment range criterion to the air-side cooling capacity adjustment range criterion; If the ratio exceeds the preset wind The water matching reference value is then scaled according to the preset coupling balance coefficient based on the excess range to obtain the feng shui system coupling coefficient; If the ratio does not exceed the preset wind speed If the water matching benchmark value is used, then the coupling coefficient of the feng shui system will be assigned a value of 1.

[0011] In conjunction with the first aspect, the steps for calculating the upward and downward adjustment capacity of the wind system based on the measured value of the wind turbine operating frequency, the set value of the wind turbine operating frequency, the comprehensive constraint coefficient of dynamic hot spot temperature, and the coupling coefficient of the wind-water system include: The adjustable power of the fan is obtained by multiplying the cube of the ratio of the set frequency of the fan to the measured frequency of the fan by 1 and the rated power of the fan. Multiply the positive adjustable component of the power increment in the adjustable power base of the wind turbine by the dynamic hot spot temperature comprehensive constraint coefficient and the wind-water system coupling coefficient to obtain the wind system up-adjustment capacity after double correction. Multiply the negative adjustable component of the power reduction corresponding to the adjustable power base of the wind turbine by the comprehensive constraint coefficient of dynamic hot spot temperature and the coupling coefficient of the wind-water system to obtain the wind system down-adjustment capacity after double correction.

[0012] In conjunction with the first aspect, the method also includes: If any of the measured values ​​of chilled water outlet temperature, chilled water return temperature, or temperature at a measuring point in the hotspot area of ​​the data center fails to meet their respective preset safe operating limits, the set value of chilled water outlet temperature and / or the set value of fan operating frequency will be adjusted. The calculations of the first and second modules will be re-executed with the adjusted set values, and the recalculated operating parameters will be checked again until the safe operating limits are met.

[0013] Secondly, this application provides a computing device for an adjustable capacity cooling system, the device comprising: The parameter acquisition and model retrieval module is used to acquire the given adjustment time, chilled water outlet temperature setpoint, fan operating frequency setpoint, and real-time operating parameters generated by the power supply system during operation. The real-time operating parameters include at least the measured chilled water outlet temperature, the measured chilled water return temperature, the measured fan operating frequency, and the temperature of the measurement points in the hot spot area of ​​the data center. The water-cooled adjustable capacity calculation module is used to input the given adjustment time, the measured value of the chilled water outlet temperature, the measured value of the chilled water return temperature, and the set value of the chilled water outlet temperature into the first module of the pre-built adjustable capacity calculation model of the cooling system, and output the water system upward adjustment capacity and the water system downward adjustment capacity. The air-cooled adjustable capacity calculation module is used to input the measured value of the fan operating frequency, the temperature of the measuring point in the hot spot area of ​​the data center, the given adjustment time and the measured value of the chilled water outlet temperature into the second module of the pre-built adjustable capacity calculation model of the cooling system, and output the upward and downward adjustment capacity of the air system. The adjustable cooling capacity calculation module is used to calculate the total adjustable cooling capacity by adding the upward adjustment capacity of the water system and the upward adjustment capacity of the air system, provided that the measured values ​​of the chilled water outlet temperature, the chilled water return temperature, and the temperature of the measuring point in the hot spot area of ​​the data center all meet their respective preset safe operating limits. The module also calculates the total downward adjustment capacity of the cooling system by adding the downward adjustment capacity of the water system and the downward adjustment capacity of the air system.

[0014] Thirdly, this application provides an electronic device, which includes a memory and a processor. The memory stores a computer program, and the processor runs the computer program to cause the electronic device to perform the above-described method.

[0015] Fourthly, this application provides a readable storage medium storing computer program instructions, which are read and executed by a processor to perform the above-described method.

[0016] The embodiments of the present invention bring the following beneficial effects: This application provides a method, device, electronic device, and storage medium for calculating the adjustable capacity of a cooling system. The method includes: acquiring a given adjustment time, a setpoint for chilled water outlet temperature, a setpoint for fan operating frequency, and real-time operating parameters generated by the power supply system during operation; the real-time operating parameters include at least the measured values ​​of chilled water outlet temperature, chilled water return temperature, fan operating frequency, and the temperature of a measuring point in a hotspot area of ​​the data center; inputting the given adjustment time, the measured values ​​of chilled water outlet temperature, the measured values ​​of chilled water return temperature, and the setpoint for chilled water outlet temperature into a pre-constructed adjustable capacity calculation model of the cooling system. The module outputs the upward and downward adjustment capacities of the water system. The second module of the pre-built adjustable capacity calculation model of the cooling system inputs the measured values ​​of the fan operating frequency, the temperature of the data center hotspot area, the given adjustment time, and the measured value of the chilled water outlet temperature. The module outputs the upward and downward adjustment capacities of the air system. If the measured values ​​of the chilled water outlet temperature, the chilled water return temperature, and the temperature of the data center hotspot area all meet their respective preset safe operating limits, the upward adjustment capacity of the water system is superimposed with the upward adjustment capacity of the air system to obtain the total upward adjustment capacity of the cooling system. The downward adjustment capacity of the water system is superimposed with the downward adjustment capacity of the air system to obtain the total downward adjustment capacity of the cooling system.

[0017] This invention constructs an adjustable capacity calculation model for a cooling system comprising a first module and a second module. Using a given adjustment duration as input parameters, the first module calculates the upward and downward adjustment capacities of the water system based on measured values ​​of the chilled water outlet temperature, the return water temperature, and the setpoint outlet temperature. The second module calculates the upward and downward adjustment capacities of the air system based on measured values ​​of the fan operating frequency, the temperature at hot spot measurement points, the adjustment duration, and the measured chilled water outlet temperature. This achieves real-time calculation of the adjustable capacity of the cooling system driven by the adjustment duration, and can output the corresponding maximum adjustable capacity for different adjustment durations, overcoming the shortcomings of existing methods that cannot evaluate the adjustable capacity under different durations in real time.

[0018] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention are realized and obtained in accordance with the structures particularly pointed out in the description, claims and drawings.

[0019] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0020] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0021] Figure 1 A flowchart illustrating a method for calculating the adjustable capacity of a cooling system according to an embodiment of the present invention; Figure 2 A schematic diagram of a calculation device for an adjustable capacity cooling system provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of the electronic device structure provided in an embodiment of the present invention.

[0022] Figure label: 10 - Parameter acquisition and model retrieval module; 20 - Water-cooled adjustable capacity calculation module; 30 - Air-cooled adjustable capacity calculation module; 40 - Cooling adjustable capacity calculation module. 130 - Processor, 131 - Memory, 132 - Bus, 133 - Communication interface. Detailed Implementation

[0023] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0024] To facilitate understanding of this embodiment, the technical terms used in this application will be briefly introduced below.

[0025] Cooling system: refers to a refrigeration system that uses chilled water as the medium for distributing cooling capacity and achieves temperature control of the terminal space through the coordinated operation of the water system and the air system. It includes three components: cold source side equipment, water system (chilled water pipeline network) and air system (air conditioning fans and ducts).

[0026] Adjustable capacity: refers to the amount of power change that a cooling system can achieve within a given adjustment period by adjusting operating parameters (such as changing the chilled water outlet temperature or adjusting the fan operating frequency), including increasing capacity (increasing system power) and decreasing capacity (reducing system power).

[0027] Adjustment duration: refers to the time span required for the cooling system to complete a specified power adjustment. It is a key time parameter for calculating adjustable capacity and determines the release rate of the cooling capacity stored in the water system pipes and the amplitude of the frequency adjustment of the air system.

[0028] Chilled water storage capacity: refers to the cooling capacity carried by the chilled water stored in the chilled water network, which is determined by the network volume, chilled water properties, and the supply and return water temperature difference. Real-time chilled water storage capacity represents the current actual level of cooling capacity stored in the system; maximum chilled water storage capacity represents the maximum cooling capacity that the system can store under extreme operating conditions.

[0029] Hot spot temperature: refers to the temperature value corresponding to the area with the highest temperature in the terminal space (such as a data center).

[0030] Dynamic hotspot temperature comprehensive constraint coefficient: refers to a coefficient constructed based on the margin of the current hotspot temperature relative to the allowable temperature boundary and the rate of change of the hotspot temperature, used to correct the end-point thermal safety constraint of the adjustable capacity of the wind system.

[0031] The coupling coefficient of the water-wind system refers to the coefficient constructed based on the relative relationship between the current cooling capacity adjustment range on the water side and the current cooling capacity adjustment range on the wind side. It is used to characterize the mutual balance between the adjustable capacity of the water system and the wind system.

[0032] Terminal space thermal inertia: refers to the ability of the terminal space temperature not to rise immediately when the cooling system reduces the cooling capacity. Instead, due to the time delay of the heat capacity of the air and the building envelope, a certain degree of temperature rise is allowed in a short period of time without affecting the safe operation of the equipment. This ability provides the cooling system with short-term flexible adjustment space.

[0033] After introducing the technical terms used in this application, the application scenarios and design concepts of the embodiments of this application will be briefly described below.

[0034] Existing methods use modeling and optimization systems to calculate the optimal operating strategy, but they cannot evaluate the maximum adjustable capacity under different adjustment durations in real time. Furthermore, they often model water and air systems independently, ignoring the coupling and constraints between them, which can easily lead to an overestimation of the adjustable capacity.

[0035] Based on this, embodiments of this application provide a method, apparatus, electronic device, and storage medium for calculating the adjustable capacity of a cooling system.

[0036] Example 1 This application provides a method for calculating the adjustable capacity of a cooling system, combined with... Figure 1 As shown, the method includes: S110, acquire the given adjustment duration, chilled water outlet temperature setpoint, fan operating frequency setpoint, and real-time operating parameters generated by the power supply system during operation; the real-time operating parameters include at least the measured chilled water outlet temperature, the measured chilled water return temperature, the measured fan operating frequency, and the temperature of the measurement point in the hot spot area of ​​the data center.

[0037] S120 inputs the given adjustment time, the measured value of chilled water outlet temperature, the measured value of chilled water return temperature, and the set value of chilled water outlet temperature into the first module of the pre-built adjustable capacity calculation model of the cooling system, and outputs the water system upward adjustment capacity and the water system downward adjustment capacity.

[0038] S130 inputs the measured value of the fan operating frequency, the temperature of the measuring point in the hot spot area of ​​the data center, the given adjustment time and the measured value of the chilled water outlet temperature into the second module of the pre-built adjustable capacity calculation model of the cooling system, and outputs the upward and downward adjustment capacity of the air system. S140, if the measured values ​​of chilled water outlet temperature, chilled water return temperature, and temperature of the measuring point in the hot spot area of ​​the data center all meet their respective preset safe operating limits, the upward adjustment capacity of the water system and the upward adjustment capacity of the air system are added together to obtain the total upward adjustment capacity of the cooling system, and the downward adjustment capacity of the water system and the downward adjustment capacity of the air system are added together to obtain the total downward adjustment capacity of the cooling system.

[0039] This application establishes a cooling system adjustable capacity calculation model comprising a first module and a second module. Using a given adjustment duration as input parameters, the first module calculates the upward and downward adjustment capacities of the water system based on measured values ​​of chilled water outlet temperature, measured values ​​of return water temperature, and the setpoint of outlet water temperature. The second module calculates the upward and downward adjustment capacities of the air system based on measured values ​​of fan operating frequency, temperature at hot spot measurement points, adjustment duration, and measured values ​​of chilled water outlet temperature. This achieves real-time calculation of the adjustable capacity of the cooling system driven by the adjustment duration, and can output the corresponding maximum adjustable capacity for different adjustment durations. This overcomes the shortcomings of existing methods that can only output the optimal strategy for specific peak-shaving scenarios and cannot evaluate the adjustable capacity under different durations in real time.

[0040] The cooling system of this invention refers to a refrigeration system applied in scenarios such as data centers, industrial plants, and commercial buildings, using chilled water as the cooling capacity distribution medium, and achieving temperature control of the terminal space through the coordinated operation of the water system and the air system. This cooling system mainly consists of a cold source side, a water system, and an air system. The cold source side includes equipment such as chiller units, cooling towers, and chilled water pumps. The chiller units produce chilled water through vapor compression circulation or absorption circulation and inject the cooling capacity into the chilled water pipeline network; the chilled water pumps provide power for the chilled water circulation, propelling the low-temperature chilled water along the supply pipeline to the end users; the cooling towers provide cooling and heat dissipation for the condenser side of the chiller units.

[0041] The water system, also known as the chilled water piping system, consists of supply water pipes, return water pipes, manifolds, regulating valves, and piping components. Its working principle is as follows: Low-temperature chilled water (supply temperature typically 7℃~12℃) produced by the chiller units is transported to each terminal air conditioning unit via the supply water pipes. In the surface coolers of the terminal air conditioning units, it exchanges heat with the return air, raising its temperature. The heated chilled water then returns to the chiller units via the return water pipes to cool down again, forming a complete circulation loop. The chilled water piping network has a certain volume, and the chilled water stored within it has a certain cold storage capacity, i.e., pipe-stored cold capacity. When the supply water temperature decreases or the return water temperature increases, the pipe-stored cold capacity increases; conversely, it decreases. This change in pipe-stored cold capacity is the physical source of the water system's adjustable capacity.

[0042] The air system, or air-side delivery and distribution system, consists of an air conditioning unit (including a cooling coil, filter, and fan), supply air ducts, return air ducts, air outlets, and dampers. Its working principle is as follows: the fan in the air conditioning unit drives indoor return air or outdoor fresh air to flow through the cooling coil. The chilled water flowing in the cooling coil cools the air. The cooled air is then delivered through the supply air duct to the terminal space (such as a data center), where it absorbs heat from IT equipment and other heat sources, increasing its temperature. The warmed return air then returns to the air conditioning unit through the return air duct for further cooling, forming an air-side circulation loop. The fans in the air system are variable frequency fans, whose operating frequency is adjustable. Increasing the frequency increases the airflow and fan power consumption (corresponding to an upward adjustment of capacity), while decreasing the frequency decreases the airflow and fan power consumption (corresponding to a downward adjustment of capacity). Therefore, the air system itself has power regulation capabilities.

[0043] In operation, chilled water is generated on the cold source side and transported to the terminal air conditioning units by the water system. The air system drives airflow through the surface coolers of the air conditioning units, where it exchanges heat with the chilled water and is cooled. The cooled air is then sent into the terminal space to cool the heat source equipment. The air, after absorbing heat and becoming warmer, returns to the air system for recooling, while the chilled water, after absorbing heat and becoming warmer, returns to the cold source side for recooling. These two systems form circulation loops on the air side and chilled water side, respectively. In this process, the water system and the air system are physically coupled through the surface coolers of the terminal air conditioning units. The chilled water temperature and flow rate on the water side determine the upper limit of the surface cooler's heat exchange capacity, while the air flow rate and inlet air temperature on the air side determine the surface cooler's heat exchange requirements. When the water supply temperature on the water side increases or decreases, the heat exchange efficiency of the surface cooler changes accordingly, and the air supply volume on the air side needs to be adjusted accordingly to maintain a stable temperature in the terminal space. Conversely, when the air supply volume on the air side changes, the return water temperature of the surface cooler will also fluctuate, thus affecting the rate of change of the stored cooling capacity in the water system. Water and wind influence and restrict each other, so there is a coupling relationship where the adjustable capacity increases or decreases.

[0044] End-point spaces (such as data centers) are the final service targets of cooling systems. Data centers house heat-generating equipment such as IT cabinets. The hot air exhausted from these cabinets creates a temperature distribution within the data center, with the hottest area being the hotspot, known as the hotspot temperature. Hotspot temperature is a core indicator of data center thermal safety. When the hotspot temperature exceeds the maximum permissible operating temperature of the equipment, it can lead to overheating, system crashes, or even damage to the IT equipment. Therefore, when assessing the adjustable capacity of a cooling system, it is crucial to ensure that the hotspot temperature remains within a safe and permissible range during adjustments. Because the data center temperature does not rise immediately after the cooling system stops or reduces its cooling capacity, but rather due to the time delay caused by the thermal inertia of the air and the building envelope, the end-point data center has the ability to withstand a certain temperature rise in a short period without affecting the safe operation of the equipment. This ability is known as the "thermal inertia" or "heat storage capacity" of the end-point data center and is an important component of the adjustable capacity of the cooling system.

[0045] In step S110, the given adjustment duration The evaluation period specified by the user requires the cooling system to respond by increasing or decreasing its power within this timeframe. This parameter directly determines the release rate of the cold storage capacity in the water system pipes and the magnitude of the frequency adjustment of the air system, and serves as the common time reference for all subsequent adjustable capacity calculations.

[0046] Chilled water outlet temperature setpoint The setpoint for the water system's operation is the control target, and its deviation from the measured value of the outlet water temperature determines the current available control margin of the water system; the setpoint for the fan operating frequency. These are the control targets for the operation of the wind system, and the deviation between these targets and the measured value of the wind turbine's operating frequency determines the current available power adjustment range of the wind system. In subsequent iterations, if the safety test fails, the above two setpoints need to be adjusted and recalculated.

[0047] Real-time operating parameters generated by the cooling system during operation, including measured values ​​of chilled water outlet temperature. Measured value of chilled water return temperature Actual measured value of fan operating frequency Temperature measurement points in hotspot areas of the data center.

[0048] The parameters mentioned above serve three core aspects: the calculation of adjustable capacity of the water system, the calculation of adjustable capacity of the air system, and the verification of safe operating limits. Together, they constitute a complete set of input data for the assessment of the adjustable capacity of the cooling system.

[0049] In conjunction with the first aspect, step S120 includes: S121. Calculate the real-time and maximum chilled water storage capacity of the chilled water network based on the measured values ​​of the chilled water return temperature and the chilled water outlet temperature.

[0050] S122, calculate the chilled water outlet temperature adjustment coefficient and the chilled water outlet temperature adjustment coefficient based on the set value of the chilled water outlet temperature and its allowable upper and lower limits.

[0051] S123, calculate the upper limit constraint coefficient of the return water temperature based on the measured value of the chilled water return water temperature and the preset return water temperature warning temperature.

[0052] S124 calculates the water system's upward and downward adjustment capacities based on the real-time pipe storage capacity, maximum pipe storage capacity, outlet water temperature adjustment coefficient, chilled water outlet temperature adjustment coefficient, return water temperature upper limit constraint coefficient, and adjustment duration.

[0053] In this embodiment, a pre-constructed adjustable capacity calculation model for the cooling system is provided, comprising a first module and a second module. The first module calculates the adjustable capacity of the water system based on its operating parameters (i.e., the function performed in step S120), while the second module calculates the adjustable capacity of the air system based on its operating parameters and the coupling relationship between the water and air systems (i.e., the function performed in step S130). This model places the water and air systems within a unified evaluation framework, fully leveraging their respective adjustment potentials and correcting the air-side adjustable capacity using the subsequent air-water system coupling coefficient, thereby achieving a coordinated evaluation of the overall adjustable capacity of the cooling system.

[0054] In step S121, based on the measured value of the chilled water return temperature... Measured value of chilled water outlet temperature The real-time cooling capacity of the chilled water network is calculated using the following formula. and maximum cooling capacity of the tube :

[0055]

[0056] In the formula, This is the total volume of the chilled water pipe network. The density of chilled water, The specific heat capacity of water at constant pressure; This represents the maximum value of the chilled water return temperature in the water system. This is the minimum temperature of the chilled water supply to the water system.

[0057] In step S122, according to the set value of chilled water outlet temperature and its allowed upper limit value and lower limit value The chilled water outlet temperature adjustment coefficient is calculated using the following formula. and chilled water outlet temperature adjustment coefficient :

[0058]

[0059] in, It reflects the margin of the water temperature setpoint relative to the lower limit. The larger the margin, the more capable the system is of withstanding the increase in supply water temperature (corresponding to a larger downward adjustment capacity). It is used to correct the available proportion of the water system's upward adjustment and avoid the assessment results exceeding the actual adjustment capacity. It reflects the margin of the water temperature setpoint relative to the upper limit. The larger the margin, the more capable the system is of withstanding a decrease in the supply water temperature (corresponding to a larger upward adjustment capacity). It is used to correct the available proportion of the water system's downward adjustment capacity to avoid the assessment results exceeding the actual adjustment capacity.

[0060] In step S123, the chilled water return temperature is an important indicator reflecting the adequacy of terminal cooling capacity utilization and safety status. During the operation of the cooling system, an excessively high return water temperature may indicate insufficient terminal cooling capacity supply, overheating risk to IT equipment, and may also lead to increased evaporation temperature of the chiller unit, decreased operating efficiency, or even triggering a protective shutdown. Therefore, this invention introduces a return water temperature warning system. This serves as a warning boundary for safe operation. When the measured return water temperature is lower than the warning temperature, the system operates safely, and the upper limit constraint coefficient for the return water temperature is set to 1, indicating that no limitation on the adjustable capacity is required. When the measured return water temperature exceeds the warning temperature and continues to rise, the upper limit constraint coefficient for the return water temperature... The coefficient decreases linearly between 1 and 0. The closer the return water temperature is to the upper limit, the closer the coefficient is to 0. This indicates that the adjustable capacity of the system should be significantly reduced or even reduced to zero to prevent the return water temperature from deteriorating further due to over-adjustment, thereby ensuring the safe operation of the system.

[0061] Among them, the upper limit constraint coefficient of return water temperature Calculate using the following formula:

[0062] Among them, the engineering can be taken 14℃.

[0063] In step S124, based on the real-time cooling capacity of the pipe Maximum cooling capacity of the tube Water outlet temperature adjustment coefficient Chilled water outlet temperature adjustment coefficient upper limit constraint coefficient for return water temperature And adjust the duration The water system's upward adjustment capacity is calculated using the following formula. Water system capacity reduction :

[0064]

[0065] Increase capacity This indicates the system's ability to increase cooling capacity beyond its current level; the magnitude of this increase depends on the margin between the current cooling capacity and the maximum cooling capacity stored in the pipes. The larger this margin, the more additional cooling capacity the water system can release; reduce the capacity. This indicates the system's ability to reduce cooling power from its current level, and the extent of this reduction depends on the current real-time cooling capacity stored in the pipes. The larger this value is, the more cooling space the system can reduce; both are divided by the given settling time. The cooling capacity (kJ) is converted into power per unit time (kW).

[0066] Chilled water outlet temperature adjustment coefficient The adjustment factor for the increased capacity reflects the margin of the outlet water temperature setpoint relative to the upper limit. The larger the margin, the more capable the system is of implementing the increased adjustment. (This refers to the chilled water outlet temperature increase factor.) The adjustment factor for the reduced capacity reflects the margin of the outlet water temperature setpoint relative to the lower limit. The larger the margin, the more capable the system is of implementing the reduction operation.

[0067] upper limit constraint coefficient of return water temperature Simultaneously, corrections are made to both factors, limiting the bidirectional adjustable capacity when the return water temperature is too high. Through the comprehensive correction of the above three coefficients, it is ensured that the calculated adjustable capacity of the water system conforms to both the physical adjustment capability of the equipment and the safety boundary of system operation.

[0068] In conjunction with the first aspect, step S130 includes: S131, calculate the dynamic hotspot temperature comprehensive constraint coefficient based on the temperature of the measurement points in the hotspot area of ​​the data center and the adjustment time.

[0069] S132, calculate the air-water system coupling coefficient based on the chilled water outlet temperature setpoint, the measured chilled water outlet temperature, the fan operating frequency setpoint, and the measured fan operating frequency.

[0070] S133, calculate the upward and downward capacity of the wind system based on the measured value of the wind turbine operating frequency, the set value of the wind turbine operating frequency, the comprehensive constraint coefficient of the dynamic hot spot temperature, and the coupling coefficient of the wind-water system.

[0071] The flexibility of a cooling system is limited not only by the characteristics of the water and air systems themselves, but also by the rigid constraints of thermal safety in the terminal computer room. IT equipment in the terminal computer room has strict requirements for operating temperature. When the cooling system reduces the cooling supply (downsizing) or delays the release of cooling capacity, the room temperature will rise. If the hot spot temperature exceeds the maximum allowable operating temperature of the equipment, it may lead to overheating, shutdown, or even damage. Therefore, any assessment of adjustable capacity must take into account the thermal safety boundaries of the terminal computer room. To this end, this invention introduces a dynamic hot spot temperature comprehensive constraint coefficient. This serves as a safety metric for assessing the extent of adjustments a terminal data center can withstand under its current conditions.

[0072] In conjunction with the first aspect, step S131 includes: S1311, the current weighted hotspot temperature is obtained by weighted summation based on the temperature of each hotspot area measurement point and its corresponding weight.

[0073] S1312 determines the measured instantaneous temperature rise rate based on the change in hot spot temperature in adjacent time periods, and multiplies the measured instantaneous temperature rise rate by the online error adaptive correction coefficient to obtain the corrected temperature rise rate.

[0074] S1313, the corrected temperature rise rate is segmented according to the adjustment time. If the adjustment time does not exceed the preset threshold, the corrected temperature rise rate is used directly. If it exceeds the preset threshold, the corrected temperature rise rate is subjected to exponential decay processing to obtain the average temperature rise rate during the adjustment period.

[0075] S1314, Calculate the predicted hotspot temperature after the adjustment period ends, based on the current weighted hotspot temperature and the average temperature rise rate.

[0076] S1315, calculate the dynamic hotspot temperature comprehensive constraint coefficient based on the current weighted hotspot temperature relative to the allowable temperature boundary and the average temperature rise rate.

[0077] First, step S1311 calculates the current weighted hotspot temperature, which characterizes the overall thermal state of the computer room, by summing the temperatures of the measuring points deployed in each hotspot area within the computer room and considering the weights of each area. :

[0078] In the formula, The weights for each measurement point's temperature are summed to a value of 1. For measurement points The hot spot temperature value.

[0079] Then, step S1312 predicts the hotspot temperature value after the given adjustment period ends based on the current hotspot temperature change trend. Specifically: By measuring the change in hotspot temperature between adjacent time periods (This value can be obtained by subtracting the data from hotspot temperature sensors in adjacent time periods, or by using a dynamic time window method to calculate the comprehensive temperature rise rate from a historical data period.) Calculate the instantaneous temperature rise rate. ; Online error adaptive correction coefficient After correction, the corrected instantaneous temperature rise rate is obtained. .

[0080] Step S1313 then checks whether the adjustment duration exceeds the preset threshold. The process is segmented: if the adjustment period is short, the corrected rate of temperature change is directly used for linear extrapolation; if the adjustment period is long, the rate of temperature change is subjected to exponential decay to conform to the physical law that the temperature will not rise infinitely linearly in actual thermal equilibrium, and finally the predicted value of the hot spot temperature after the adjustment period ends is obtained.

[0081] In this embodiment, the average temperature rise rate during the adjustment period is calculated using the following formula. :

[0082] In the formula, In this embodiment, the temperature attenuation intensity factor is used. The value range is 0.3-0.6.

[0083] Then, step S1314 calculates the predicted hotspot temperature after the adjustment period ends using the following formula. :

[0084] Based on this, step S1315 calculates the dynamic hotspot temperature comprehensive constraint coefficient using the following formula. :

[0085] in, This is a temperature rise rate correction factor, which in this embodiment ranges from 0.8 to 1.2; This is the highest permissible temperature for the hotspot. This is the lowest permissible temperature for the hot spot.

[0086] Combining the above formula, this temperature comprehensive constraint coefficient It consists of two parts: the first reflects The coefficient for the relative allowable temperature margin is larger as the hotspot temperature decreases and moves further away from the upper limit, indicating a greater temperature rise margin in the terminal equipment room and allowing the ventilation system to perform a wider range of adjustments. The latter term reflects the rate of temperature rise in the hotspot; the faster the temperature rises, the smaller the coefficient, indicating a faster temperature approaches the safety boundary, requiring a reduction in the adjustable capacity of the ventilation system to ensure safety. This coefficient correction ensures that the calculation of the adjustable capacity of the ventilation system is always based on the thermal safety of the terminal equipment room as a hard constraint, avoiding safety risks caused by over-adjustment.

[0087] Because the water and air systems in a cooling system are not independent but physically coupled through the surface coolers of the terminal air conditioning units, changes in the water supply temperature directly affect the heat exchange efficiency of the surface coolers, thus altering the amount of air required to maintain stable terminal temperatures. Similarly, changes in the air supply volume on the air side also change the return water temperature of the surface coolers, thereby affecting the rate of cooling capacity consumption in the water system pipes. These two systems are mutually causal and restrictive, exhibiting a trade-off relationship in adjustable capacity. Traditional solutions that calculate the adjustable capacities of the water and air systems independently and then directly add them together will lead to an overestimation of the total adjustable capacity.

[0088] To quantify this coupling relationship, step S132 introduces a wind-water system coupling coefficient. The coefficient is calculated based on the relative relationship between the current adjustment ranges on the water side and the wind side.

[0089] Specifically, based on the chilled water outlet temperature setpoint Measured value of chilled water outlet temperature The deviation, combined with the upper limit of the allowable outlet water temperature. and lower limit value The criterion for determining the adjustment range of water-side cooling capacity is determined by the following formula. :

[0090] Criteria for adjusting the water-side cooling capacity This reflects the degree to which the water system deviates from its normal operating point. The greater the deviation, the greater the adjustable space on the water side, and vice versa. At the same time, according to the set value of the fan operating frequency Measured value of wind turbine operating frequency The degree to which the cube of the ratio deviates from 1 is determined by the following formula to determine the criterion for the adjustment range of the air-side cooling capacity. :

[0091] Criteria for adjusting the cooling capacity on the wind side This reflects the degree to which the wind system is currently deviating from its normal operating point.

[0092] Subsequently, the coupling coefficient of the wind-water system is calculated using the following formula. :

[0093] in, In this embodiment, the coupling balance coefficient is used. The value range is 0.3-0.6; The benchmark value for wind-water matching can be obtained through system measurement and calibration.

[0094] Based on the above formula, the criterion for adjusting the cooling capacity on the water side is... Criteria for adjusting air-side cooling capacity ratio Exceeding the preset feng-shui matching benchmark value This means that the adjustment range on the water side is too large relative to the wind side. In this case, excessive adjustment of the water system will disrupt the matching relationship with the wind system, therefore the adjustable capacity of the wind system needs to be reduced; if the ratio... Not exceeding If the current adjustment range of the water and wind sides is considered to be within the coordination range, the coupling coefficient is taken as 1, and the adjustable capacity of the wind system is not reduced additionally.

[0095] This mechanism enables the adjustable capacity of the water system and the air system to be coordinated and matched within a unified framework, effectively avoiding the problem of overestimation of total capacity under the constraint of one increasing while the other decreases.

[0096] Understandably, the adjustable capacity of the air system comes from the ability to adjust the operating frequency of the fan. In step S133, the fan operating frequency is first set according to the... Measured value of wind turbine operating frequency The deviation of the cube of the ratio from 1 Multiply by the rated power of the fan The adjustable power reference of the wind turbine is obtained. This baseline adjustability represents the theoretical adjustability of the wind system at the purely equipment level.

[0097] However, as mentioned before, the actual safe and usable adjustable capacity must be subject to the dual constraints of terminal room thermal security and air-water system coupling.

[0098] Therefore, the upward adjustment capacity of the air system is calculated using the following formula. :

[0099] Calculate the upward adjustment capacity of the ventilation system using the following formula. :

[0100] It is evident that when the terminal hotspot temperature margin is sufficient and the temperature rise rate is stable (large hotspot coefficient), and the adjustment ranges on both the water and air sides are coordinated (large coupling coefficient), the adjustable capacity of the air system can be fully released. Conversely, when the terminal thermal safety margin is insufficient or the water-side adjustment range is much greater than the air-side adjustment range, the two coefficients decrease accordingly, and the adjustable capacity of the air system is reasonably reduced to ensure the safety of the terminal equipment and the overall stable operation of the system.

[0101] At this point, the upward and downward adjustment capacities of the water system and the air system have been calculated independently. However, both calculations are based on the equipment characteristics and physical constraints under current operating conditions. Whether the calculated capacity values ​​can be safely released in actual operation still needs to be verified by the final safety status of the terminal cooling system. Therefore, this invention selects three key temperature parameters (measured chilled water outlet temperature). Measured value of chilled water return temperature The temperature of the data center hotspot area is used as an indicator for verifying the safe operating limits. The verification of the safe operating limits of the above three temperature parameters covers three key links of the cooling system: the cold source side (outlet water temperature), the distribution side (return water temperature), and the end user side (hotspot temperature). Only when all three pass can the system be considered to have the basic conditions for safely performing regulation operations.

[0102] After passing the safety limit test, the adjustable capacities of the water system and the ventilation system need to be superimposed. This is because the adjustable capacity of the ventilation system has already been tested in S131 and S132 using the dynamic hotspot temperature comprehensive constraint coefficient. Coupling coefficient of Feng Shui system The dual correction means that the capacity of the air system has been reasonably reduced based on the terminal thermal safety margin and the coordination between water and air regulation. Therefore, the superposition of the water and air system capacities is not a simple addition of two independent capacities, but a coordinated combination under the premise of considering terminal thermal safety constraints and the water-air coupling balance. Among them, the increased capacity of the water system... Increased capacity of the ventilation system Adding them together gives the total increase in system power (i.e., total upward adjustment capacity) that the cooling system can achieve under a given adjustment period; and the downward adjustment capacity of the water system. With the reduced capacity of the air system The sum of these values ​​yields the total system power reduction (i.e., the total downward reduction capacity) that the cooling system can achieve under a given adjustment period. The total upward and total downward reduction capacities together constitute the complete assessment of the cooling system's flexible adjustment capability under current operating conditions for a specified adjustment period.

[0103] In conjunction with the first aspect, it also includes: S150 If any of the measured values ​​of chilled water outlet temperature, chilled water return temperature, or temperature at a measuring point in the hotspot area of ​​the data center does not meet the preset safe operating limits, the set value of chilled water outlet temperature and / or the set value of fan operating frequency will be adjusted, and the calculations of the first and second modules will be re-executed with the adjusted set values. The recalculated operating parameters will also be checked again until the safe operating limits are met.

[0104] The safety boundary violation check in step S140 above is a single-item judgment based on the current measured values ​​of the chilled water outlet temperature, the return water temperature, and the temperature of the measuring point in the hot spot area. If all three conditions are met, the total adjustable capacity is directly output; if any one condition is not met, it indicates that the system's operating state has reached or even exceeded the safety boundary under the current setpoint combination. In this case, directly outputting the adjustable capacity assessment result may place the system in an unsafe operating state. Therefore, it is necessary to actively guide the system state back to the safe domain by adjusting the setpoints and reassess the adjustable capacity for iterative optimization.

[0105] In actual operation, the measured values ​​of chilled water outlet temperature and return temperature depend on the current operating conditions of the chiller unit, while the temperature at the measuring points in hot spots depends on the current actual air supply status of the air system and the terminal heat load. Adjust the chilled water outlet temperature setpoint. This is equivalent to changing the operational objective of the water system. When the temperature rises, the chiller unit reduces its cooling power, the outlet water temperature rises, the heat exchange temperature difference between the chilled water and the terminal air decreases, the terminal cooling capacity decreases, but the system energy consumption decreases (corresponding to an increase in the reduced capacity); when At this time, the refrigeration unit increases its cooling power, the outlet water temperature decreases, the heat exchange temperature difference increases, and the terminal cooling capacity increases, but the system energy consumption increases (corresponding to the increased capacity). Meanwhile, adjustments are made... It will also affect the chilled water return temperature. As the outlet water temperature decreases, the return water temperature will also decrease, providing a greater temperature margin for the release of adjustable capacity.

[0106] Adjust the fan operating frequency setting value This is equivalent to changing the operating target of the air system. When the frequency setpoint increases, the fan speed increases, the air volume increases, the terminal heat exchange efficiency improves, and the hot spot temperature decreases, but the fan power consumption increases (corresponding to an increase in capacity). When the capacity is reduced, the fan speed decreases, the air volume decreases, the terminal heat exchange efficiency decreases, and the hot spot temperature increases, but the fan power consumption decreases (corresponding to an increase in the reduced capacity). It will also affect the chilled water return temperature. This has an impact; when the air supply volume increases, the chilled water releases more cooling capacity in the surface cooler. When the air volume increases, the cooling capacity of the water system pipes is consumed more quickly; when the air volume decreases, The reduction slows down the consumption of cooling capacity in the pipes.

[0107] Therefore, the chilled water outlet temperature setpoint And fan operating frequency setting value These are all optimization variables in this method. Adjusting any setpoint will simultaneously affect the operating status of both the water system and the air system, thus affecting the calculation results of the adjustable capacity. Therefore, when the safety limit violation test is not met, it is necessary to adjust the chilled water outlet temperature setpoint. Fan operating frequency setpoint At least one of them, and re-execute S120 (first module calculates adjustable capacity of water system) and S130 (second module calculates adjustable capacity of air system) and S140 safety limit cross-boundary check with adjusted set values.

[0108] If the safety check passes after recalculation, the corresponding total adjustable capacity is output. If it still fails, the setpoint is adjusted and the above calculation and check process is repeated until a set of setpoints that satisfies all safety operating limits is found. The total upward and downward adjustment capacities of the cooling system calculated under this combination are then output. This iterative process is essentially a single-objective or multi-objective optimization process with safety operating limits as constraints and maximizing adjustable capacity as the goal. Preferably, simulated annealing or heuristic algorithms can be used to solve this problem, so that it converges to a feasible solution that satisfies the safety constraints within a finite number of iterations.

[0109] Secondly, embodiments of this application provide a calculation device for the adjustable capacity of a cooling system, such as... Figure 2 As shown, the device includes: a parameter acquisition and model retrieval module 10, a water-cooled adjustable capacity calculation module 20, an air-cooled adjustable capacity calculation module 30, and a cooling adjustable capacity calculation module 40.

[0110] The parameter acquisition and model retrieval module 10 is used to acquire the given adjustment time, chilled water outlet temperature setpoint, fan operating frequency setpoint, and real-time operating parameters generated by the power supply system during operation; the real-time operating parameters include at least the measured chilled water outlet temperature, the measured chilled water return temperature, the measured fan operating frequency, and the temperature of the measurement point in the hot spot area of ​​the data center.

[0111] The water-cooled adjustable capacity calculation module 20 is used to input the given adjustment time, the measured value of the chilled water outlet temperature, the measured value of the chilled water return temperature, and the set value of the chilled water outlet temperature into the first module of the pre-built adjustable capacity calculation model of the cooling system, and output the water system upward adjustment capacity and the water system downward adjustment capacity.

[0112] The air-cooled adjustable capacity calculation module 30 is used to input the measured value of the fan operating frequency, the temperature of the hot spot area of ​​the data center, the given adjustment time, and the measured value of the chilled water outlet temperature into the second module of the pre-built adjustable capacity calculation model of the cooling system, and output the upward and downward adjustment capacity of the air system.

[0113] The adjustable cooling capacity calculation module 40 is used to calculate the total adjustable cooling capacity of the cooling system by superimposing the upward adjustment capacity of the water system and the upward adjustment capacity of the air system, provided that the measured values ​​of the chilled water outlet temperature, the chilled water return temperature, and the temperature of the measuring point in the hot spot area of ​​the data center all meet their respective preset safe operating limits. The module also calculates the total downward adjustment capacity of the cooling system by superimposing the downward adjustment capacity of the water system and the downward adjustment capacity of the air system.

[0114] Thirdly, embodiments of this application provide an electronic device, combined with Figure 3 As shown, the electronic device includes a memory 131 and a processor 130. The memory 131 stores a computer program, and the processor 130 runs the computer program to make the electronic device perform the above-described method.

[0115] Furthermore, combined Figure 3 The electronic device shown also includes a bus 132 and a communication interface 133, with the processor 130, the communication interface 133 and the memory 131 connected via the bus 132.

[0116] The memory 131 may include high-speed random access memory (RAM) and may also include non-volatile memory, such as at least one disk storage device. Communication between this system network element and at least one other network element is achieved through at least one communication interface 133 (which can be wired or wireless), such as the Internet, wide area network, local area network, metropolitan area network, etc. The bus 132 may be an ISA bus, PCI bus, or EISA bus, etc. The bus can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 3 The symbol is represented by a single double-headed arrow, but this does not mean that there is only one bus or one type of bus.

[0117] Processor 130 may be an integrated circuit chip with signal processing capabilities. In implementation, each step of the above method can be completed by the integrated logic circuitry in the hardware of processor 130 or by instructions in software form. Processor 130 may be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc.; it may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this invention. The general-purpose processor may be a microprocessor or any conventional processor. The steps of the methods disclosed in the embodiments of this invention can be directly manifested as execution by a hardware decoding processor, or execution by a combination of hardware and software modules in the decoding processor. The software module can reside in a mature storage medium in the art, such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, or registers. This storage medium is located in memory 131, and processor 130 reads the information in memory 131 and, in conjunction with its hardware, completes the steps of the method described in the foregoing embodiments.

[0118] Fourthly, embodiments of this application provide a readable storage medium storing computer program instructions, which are read and executed by a processor to perform the above-described method.

[0119] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the system and apparatus described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0120] Furthermore, in the description of the embodiments of the present invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in the present invention based on the specific circumstances.

[0121] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, essentially, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0122] In the description of this invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0123] Finally, it should be noted that the above embodiments are merely specific implementations of the present invention, used to illustrate the technical solutions of the present invention, and not to limit it. The scope of protection of the present invention is not limited thereto. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily conceive of changes to the technical solutions described in the foregoing embodiments within the technical scope disclosed in the present invention, or make equivalent substitutions for some of the technical features; and these modifications, changes, or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be covered within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for calculating the adjustable capacity of a cooling system, characterized in that, The method includes: The system acquires the given adjustment duration, chilled water outlet temperature setpoint, fan operating frequency setpoint, and real-time operating parameters generated by the power supply system during operation. The real-time operating parameters include at least the measured chilled water outlet temperature, the measured chilled water return temperature, the measured fan operating frequency, and the temperature at the measurement point in the hotspot area of ​​the data center. The given adjustment time, the measured value of the chilled water outlet temperature, the measured value of the chilled water return temperature, and the set value of the chilled water outlet temperature are input into the first module of the pre-built adjustable capacity calculation model of the cooling system, and the water system upward adjustment capacity and water system downward adjustment capacity are output. The measured value of the fan operating frequency, the temperature of the measuring point in the hot spot area of ​​the data center, the given adjustment time, and the measured value of the chilled water outlet temperature are input into the second module of the pre-built adjustable capacity calculation model of the cooling system, and the upward and downward adjustment capacity of the air system are output. If the measured values ​​of the chilled water outlet temperature, the chilled water return temperature, and the temperature of the measuring point in the hot spot area of ​​the data center all meet their respective preset safe operating limits, the upward adjustment capacity of the water system and the upward adjustment capacity of the air system are added together to obtain the total upward adjustment capacity of the cooling system, and the downward adjustment capacity of the water system and the downward adjustment capacity of the air system are added together to obtain the total downward adjustment capacity of the cooling system.

2. The method according to claim 1, characterized in that, The steps of inputting the given adjustment time, the measured value of the chilled water outlet temperature, the measured value of the chilled water return temperature, and the set value of the chilled water outlet temperature into the first module of the pre-built adjustable capacity calculation model of the cooling system, and outputting the steps of adjusting the water system capacity upward and downward, include: Based on the measured values ​​of the chilled water return temperature and the chilled water outlet temperature, calculate the real-time and maximum chilled water storage capacity of the chilled water network. Based on the setpoint of the chilled water outlet temperature and its allowable upper and lower limits, calculate the chilled water outlet temperature adjustment coefficient and the chilled water outlet temperature adjustment coefficient; Calculate the upper limit constraint coefficient for the return water temperature based on the measured value of the chilled water return water temperature and the preset return water temperature warning temperature; The upward adjustment capacity and downward adjustment capacity of the water system are calculated based on the real-time pipe cooling capacity, the maximum pipe cooling capacity, the outlet water temperature adjustment coefficient, the chilled water outlet temperature adjustment coefficient, the return water temperature upper limit constraint coefficient, and the adjustment time.

3. The method according to claim 1, characterized in that, The steps of inputting the measured value of the fan operating frequency, the temperature of the measuring point in the hot spot area of ​​the data center, the given adjustment time, and the measured value of the chilled water outlet temperature into the second module, and outputting the steps of increasing and decreasing the capacity of the air system, include: Based on the temperature measured at the hotspot area of ​​the data center and the adjustment duration, calculate the dynamic hotspot temperature comprehensive constraint coefficient. The air-water system coupling coefficient is calculated based on the set value of the chilled water outlet temperature, the measured value of the chilled water outlet temperature, the set value of the fan operating frequency, and the measured value of the fan operating frequency. Based on the measured value of the fan operating frequency, the set value of the fan operating frequency, the comprehensive constraint coefficient of the dynamic hot spot temperature, and the coupling coefficient of the wind-water system, the upward adjustment capacity of the wind system and the downward adjustment capacity of the wind system are calculated.

4. The method according to claim 3, characterized in that, The steps for calculating the dynamic hotspot temperature comprehensive constraint coefficient based on the measured temperature of the hotspot area in the data center and the adjustment duration include: The current weighted hotspot temperature is obtained by weighted summation based on the temperature of each hotspot area and its corresponding weight. The measured instantaneous temperature rise rate is determined based on the change in hot spot temperature between adjacent time periods, and the measured instantaneous temperature rise rate is multiplied by the online error adaptive correction coefficient to obtain the corrected temperature rise rate. The corrected temperature rise rate is segmented according to the adjustment duration. If the adjustment duration does not exceed the preset threshold, the corrected temperature rise rate is used directly. If it exceeds the preset threshold, the corrected temperature rise rate is subjected to exponential decay to obtain the average temperature rise rate during the adjustment period. Based on the current weighted hotspot temperature and the average temperature rise rate, calculate the predicted hotspot temperature after the adjustment period ends; The dynamic hotspot temperature comprehensive constraint coefficient is calculated based on the margin of the current weighted hotspot temperature relative to the allowable temperature boundary and the average temperature rise rate.

5. The method according to claim 3, characterized in that, The steps for calculating the coupling coefficient of the air-water system based on the setpoint of the chilled water outlet temperature, the measured value of the chilled water outlet temperature, the setpoint of the fan operating frequency, and the measured value of the fan operating frequency include: The criteria for adjusting the water-side cooling capacity are determined based on the set value of the chilled water outlet temperature, the measured value of the chilled water outlet temperature, and the upper and lower limits of the allowable chilled water outlet temperature. The criterion for adjusting the air-side cooling capacity is determined based on the degree to which the cube of the ratio of the set value of the fan operating frequency to the measured value of the fan operating frequency deviates from 1. Calculate the ratio of the water-side cooling capacity adjustment range criterion to the air-side cooling capacity adjustment range criterion; If the ratio exceeds the preset feng-shui matching benchmark value, the preset coupling balance coefficient is scaled according to the excess to obtain the feng-shui system coupling coefficient. If the ratio does not exceed the preset feng-shui matching benchmark value, the feng-shui system coupling coefficient is assigned a value of 1.

6. The method according to claim 3, characterized in that, The steps for calculating the upward and downward adjustment capacity of the wind system based on the measured value of the wind turbine operating frequency, the set value of the wind turbine operating frequency, the comprehensive constraint coefficient of the dynamic hot spot temperature, and the coupling coefficient of the wind-water system include: The deviation of the cube of the ratio of the set value of the fan operating frequency to the measured value of the fan operating frequency and 1 is multiplied by the rated power of the fan to obtain the adjustable value of the fan power reference. The positive adjustable component of the power increment in the adjustable power base of the wind turbine is multiplied by the dynamic hot spot temperature comprehensive constraint coefficient and the wind-water system coupling coefficient to obtain the wind system up-adjustment capacity after double correction. The negative adjustable component corresponding to the power reduction in the adjustable power base of the wind turbine is multiplied by the dynamic hot spot temperature comprehensive constraint coefficient and the wind-water system coupling coefficient to obtain the wind system down-adjustment capacity after double correction.

7. The method according to claim 1, characterized in that, The method further includes: If any of the measured values ​​of the chilled water outlet temperature, the chilled water return temperature, or the temperature at the measuring point in the hotspot area of ​​the data center does not meet their respective preset safe operating limits, then the set value of the chilled water outlet temperature and / or the set value of the fan operating frequency will be adjusted, and the calculations of the first module and the second module will be re-executed with the adjusted set values, and the recalculated operating parameters will be checked again until the safe operating limits are met.

8. A calculation device for the adjustable capacity of a cooling system, characterized in that, The device includes: The parameter acquisition and model retrieval module is used to acquire the given adjustment duration, chilled water outlet temperature setpoint, fan operating frequency setpoint, and real-time operating parameters generated by the power supply system during operation; the real-time operating parameters include at least the measured chilled water outlet temperature, the measured chilled water return temperature, the measured fan operating frequency, and the temperature of the measurement points in the hot spot area of ​​the data center. The water-cooled adjustable capacity calculation module is used to input the given adjustment time, the measured value of the chilled water outlet temperature, the measured value of the chilled water return temperature, and the set value of the chilled water outlet temperature into the first module of the pre-built adjustable capacity calculation model of the cooling system, and output the water system upward adjustment capacity and the water system downward adjustment capacity. The air-cooled adjustable capacity calculation module is used to input the measured value of the fan operating frequency, the temperature of the measuring point in the hot spot area of ​​the data center, the given adjustment time and the measured value of the chilled water outlet temperature into the second module of the pre-built adjustable capacity calculation model of the cooling system, and output the upward and downward adjustment capacity of the air system. The adjustable cooling capacity calculation module is used to, under the condition that the measured values ​​of the chilled water outlet temperature, the chilled water return temperature, and the temperature of the measuring point in the hot spot area of ​​the data center all meet their respective preset safe operating limits, add the upward adjustment capacity of the water system and the upward adjustment capacity of the air system to obtain the total upward adjustment capacity of the cooling system, and add the downward adjustment capacity of the water system and the downward adjustment capacity of the air system to obtain the total downward adjustment capacity of the cooling system.

9. An electronic device, characterized in that, The electronic device includes a memory and a processor, the memory storing a computer program and the processor running the computer program to cause the electronic device to perform the method of any one of claims 1 to 7.

10. A storage medium, characterized in that, The storage medium stores computer program instructions, which, when read and executed by a processor, perform the method described in any one of claims 1 to 7.

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