A Coupling Control Method for Energy Consumption Optimization of Data Center Digital Twin Chilled Water System

Abstract

This invention relates to a method for optimizing and coupling control of energy consumption in a data center digital twin chilled water system. The method includes: obtaining first energy consumption calculation parameters related to the three-dimensional outdoor environment system, second energy consumption calculation parameters related to the one-dimensional fluid network system, and third energy consumption calculation parameters related to the three-dimensional data center room system, all assuming that the three-dimensional outdoor environment system, the one-dimensional fluid network system, and the three-dimensional data center room system all meet corresponding preset requirements; calculating the first energy consumption of the three-dimensional outdoor environment system based on the first energy consumption calculation parameters; calculating the second energy consumption of the one-dimensional fluid network system based on the second energy consumption calculation parameters; calculating the third energy consumption of the three-dimensional data center room system based on the third energy consumption calculation parameters; and summing the first, second, and third energy consumptions as the total energy consumption of the data center digital twin chilled water system energy consumption model. This method not only solves the problem of requiring large amounts of computing resources in existing technologies but also improves calculation accuracy.

Description

Technical Field

[0001] This invention relates to the field of data center energy-saving technology, and in particular to a method for optimizing and coupling control of energy consumption in a data center digital twin chilled water system. Background Technology

[0002] With the continuous development of emerging technologies such as cloud computing and the Internet of Things, the application scope of data centers is constantly expanding, and the energy consumption of data centers is receiving increasing attention. Statistics show that global data center energy consumption accounts for about 2% of total energy consumption, and this proportion is continuously increasing. In data centers, the cooling system is a very important energy-consuming component, accounting for about 30% to 40% of total energy consumption. Therefore, optimizing and controlling the energy consumption of chilled water systems is essential.

[0003] Chilled water systems are one of the most commonly used cooling methods in data centers. They circulate cooling water to servers to remove heat. This process consumes a significant amount of energy, making it crucial to control the energy consumption of chilled water systems.

[0004] Currently, existing methods can achieve this through artificial intelligence (AI)-based approaches. AI is a very popular technology that can control systems using algorithms such as machine learning and deep learning. In data centers, AI is also widely used in the energy consumption control of chilled water systems.

[0005] For example, the above method can control the energy consumption of the chilled water system by inputting historical data from the data center chilled water system into a neural network for training, and then adjusting the flow rate and temperature of the cooling water based on the training results. Experimental results show that this method can effectively reduce the energy consumption of the chilled water system.

[0006] However, while the aforementioned artificial intelligence methods have higher adaptability and better control accuracy compared to traditional control methods, they require a large amount of computing resources and a large amount of historical data for training. Summary of the Invention

[0007] (a) Technical problems to be solved

[0008] In view of the above-mentioned shortcomings and deficiencies of the prior art, the present invention provides an energy consumption optimization and coupling control method for a data center digital twin chilled water system, which solves the technical problem of the prior art requiring a large amount of computing resources.

[0009] (II) Technical Solution

[0010] To achieve the above objectives, the main technical solutions adopted by the present invention include:

[0011] In a first aspect, embodiments of the present invention provide a method for optimizing and coupling control of energy consumption in a data center digital twin chilled water system. This method is based on a pre-constructed energy consumption model of the data center digital twin chilled water system, and the energy consumption model includes a three-dimensional outdoor environment system, a one-dimensional fluid network system, and a three-dimensional computer room system. The method includes: under the condition that the three-dimensional outdoor environment system, the one-dimensional fluid network system, and the three-dimensional computer room system all meet corresponding preset requirements, obtaining a first energy consumption calculation parameter related to the three-dimensional outdoor environment system, a second energy consumption calculation parameter related to the one-dimensional fluid network system, and a third energy consumption calculation parameter related to the three-dimensional computer room system; calculating a first energy consumption of the three-dimensional outdoor environment system based on the first energy consumption calculation parameter; calculating a second energy consumption of the one-dimensional fluid network system based on the second energy consumption calculation parameter; calculating a third energy consumption of the three-dimensional computer room system based on the third energy consumption calculation parameter; and summing the first, second, and third energy consumptions as the total energy consumption of the data center digital twin chilled water system energy consumption model.

[0012] In one possible embodiment, the three-dimensional outdoor environment system includes an outdoor cooling tower, and the first energy consumption calculation parameter includes the stable rotational speed of the outdoor fan of the outdoor cooling tower.

[0013] Specifically, when the three-dimensional outdoor environment system, the one-dimensional fluid network system, and the three-dimensional computer room system all meet their respective preset requirements, the system acquires the first energy consumption calculation parameters related to the three-dimensional outdoor environment system, the second energy consumption calculation parameters related to the one-dimensional fluid network system, and the third energy consumption calculation parameters related to the three-dimensional computer room system. This includes: when the outlet water temperature of the outdoor cooling tower does not meet the first preset value requirement, adjusting the speed of the outdoor fan until a stable speed is reached; wherein, the stable speed of the outdoor fan is the speed at which the first preset value requirement is met, or the minimum or maximum speed of the outdoor fan.

[0014] And, based on the first energy consumption calculation parameters, calculate the first energy consumption of the three-dimensional outdoor environment system, including: based on the stable speed of the outdoor fan, calculate the energy consumption of the outdoor fan, and use the energy consumption of the outdoor fan as the first energy consumption.

[0015] In one possible embodiment, the one-dimensional fluid network system includes a one-dimensional cooling tower, a cooling water pump, a chiller unit, and a chilled water pump, and the second energy consumption calculation parameter includes the stable speed of the cooling water pump;

[0016] Among them, when the three-dimensional outdoor environment system, the one-dimensional fluid network system and the three-dimensional computer room system all meet the corresponding preset requirements, the first energy consumption calculation parameters related to the three-dimensional outdoor environment system, the second energy consumption calculation parameters related to the one-dimensional fluid network system and the third energy consumption calculation parameters related to the three-dimensional computer room system are obtained. This further includes: after the outdoor fan reaches the stable speed of the outdoor fan, the wet bulb temperature of the air entering the outdoor cooling tower is transferred to the one-dimensional cooling tower so that the cooling side of the one-dimensional cooling tower, the cooling water pump and the chiller unit constitute a cooling water circulation.

[0017] If the temperature difference between the outlet water temperature and the inlet water temperature of the condenser does not meet the second preset value requirement, adjust the speed of the cooling water pump until the stable speed of the cooling water pump is reached; wherein, the stable speed of the cooling water pump is the speed at which the second preset value requirement is met, or the minimum speed or maximum speed of the cooling water pump.

[0018] In one possible embodiment, the three-dimensional computer room system includes the most unfavorable terminal, and the second energy consumption calculation parameter further includes the stable speed of the chilled water pump;

[0019] Specifically, when the three-dimensional outdoor environment system, the one-dimensional fluid network system, and the three-dimensional computer room system all meet their respective preset requirements, the system acquires the first energy consumption calculation parameters related to the three-dimensional outdoor environment system, the second energy consumption calculation parameters related to the one-dimensional fluid network system, and the third energy consumption calculation parameters related to the three-dimensional computer room system. This further includes: when the temperature difference meets the second preset value requirement but the pressure difference between the inlet riser pressure at the most unfavorable end and the outlet riser pressure at the most unfavorable end does not meet the third preset value requirement, adjusting the speed of the chilled water pump until a stable speed is reached; wherein the stable speed of the chilled water pump is the speed at which the third preset value requirement is met, or the minimum speed or maximum speed of the chilled water pump.

[0020] In one possible embodiment, calculating the second energy consumption of the one-dimensional fluid network system based on the second energy consumption calculation parameters includes: calculating the energy consumption of the cooling water pump based on the stable rotational speed of the cooling water pump; calculating the energy consumption of the chilled water pump based on the stable rotational speed of the chilled water pump; and determining the second energy consumption based on the energy consumption of the cooling water pump and the energy consumption of the chilled water pump.

[0021] In one possible embodiment, determining the second energy consumption based on the energy consumption of the cooling water pump and the chilled water pump includes: when the chiller unit includes a cooling water side for heat dissipation for the condenser and a chilled water side for heat exchange with the evaporator, fitting a curve related to the energy consumption of the chiller unit based on the chilled water outlet temperature of the chiller unit that meets the fourth preset value requirement, the cooling water inlet temperature of the chiller unit, the partial load, and the cooling energy efficiency coefficient, and calculating the energy consumption of the chiller unit according to the curve; and using the sum of the energy consumption of the cooling water pump, the energy consumption of the chilled water pump, and the energy consumption of the chiller unit as the second energy consumption.

[0022] In one possible embodiment, the third energy consumption calculation parameter includes the fourth stable speed of the end fan;

[0023] Among them, when the three-dimensional outdoor environment system, the one-dimensional fluid network system, and the three-dimensional computer room system all meet the corresponding preset requirements, the first energy consumption calculation parameters related to the three-dimensional outdoor environment system, the second energy consumption calculation parameters related to the one-dimensional fluid network system, and the third energy consumption calculation parameters related to the three-dimensional computer room system are obtained, including: when the temperature difference between the air inlet side temperature and the air outlet side temperature at the terminal does not meet the fifth preset value requirement, the speed of the terminal fan is adjusted until the first stable speed of the terminal fan is reached; wherein, the first stable speed of the terminal fan is the speed at which the fifth preset value requirement is met or the minimum speed or maximum speed of the terminal fan;

[0024] Furthermore, based on the third energy consumption calculation parameters, the third energy consumption of the three-dimensional computer room system is calculated, including: based on the first stable speed of the terminal fan, the energy consumption of the terminal fan is calculated, and based on the energy consumption of the terminal fan, the third energy consumption is determined.

[0025] In one possible embodiment, the third energy consumption calculation parameter includes the second stable speed of the end fan;

[0026] Specifically, when the three-dimensional outdoor environment system, the one-dimensional fluid network system, and the three-dimensional computer room system all meet their respective preset requirements, the system acquires the first energy consumption calculation parameters related to the three-dimensional outdoor environment system, the second energy consumption calculation parameters related to the one-dimensional fluid network system, and the third energy consumption calculation parameters related to the three-dimensional computer room system. These parameters include: when the pressure difference between the inlet pressure and the outlet pressure at the terminal does not meet the sixth preset value requirement, adjusting the speed of the terminal fan until the second stable speed of the terminal fan is reached; wherein, the second stable speed of the terminal fan is the speed at which the sixth preset value requirement is met, or the minimum speed or maximum speed of the terminal fan.

[0027] Furthermore, based on the third energy consumption calculation parameters, the third energy consumption of the three-dimensional computer room system is calculated, including: based on the second stable speed of the terminal fan, the energy consumption of the terminal fan is calculated, and based on the energy consumption of the terminal fan, the third energy consumption is determined.

[0028] In one possible embodiment, the third energy consumption calculation parameter includes the third stable speed of the end fan;

[0029] Among them, when the three-dimensional outdoor environment system, the one-dimensional fluid network system, and the three-dimensional computer room system all meet the corresponding preset requirements, the first energy consumption calculation parameters related to the three-dimensional outdoor environment system, the second energy consumption calculation parameters related to the one-dimensional fluid network system, and the third energy consumption calculation parameters related to the three-dimensional computer room system are obtained, including: when the temperature at the specified location does not meet the seventh preset value requirement, the speed of the terminal fan is adjusted until the third stable speed of the terminal fan is reached; wherein, the third stable speed of the terminal fan is the speed at which the seventh preset value requirement is met, or the minimum speed or maximum speed of the terminal fan;

[0030] Furthermore, based on the third energy consumption calculation parameters, the third energy consumption of the three-dimensional computer room system is calculated, including: based on the third stable speed of the terminal fan, the energy consumption of the terminal fan is calculated, and based on the energy consumption of the terminal fan, the third energy consumption is determined.

[0031] In one possible embodiment, the designated location is any one of the following: the end air outlet, the end air return outlet, a designated location within the cold aisle, and the server entrance.

[0032] (III) Beneficial Effects

[0033] The beneficial effects of this invention are:

[0034] This application provides a data center digital twin chilled water system energy consumption optimization and coupling control method. By obtaining first energy consumption calculation parameters related to the three-dimensional outdoor environment system, second energy consumption calculation parameters related to the one-dimensional fluid network system, and third energy consumption calculation parameters related to the three-dimensional data center system, all under the condition that the three-dimensional outdoor environment system, one-dimensional fluid network system, and three-dimensional computer room system all meet corresponding preset requirements, the method calculates the first energy consumption of the three-dimensional outdoor environment system based on the first energy consumption calculation parameters, the second energy consumption of the one-dimensional fluid network system based on the second energy consumption calculation parameters, and the third energy consumption of the three-dimensional data center system based on the third energy consumption calculation parameters. The sum of the first, second, and third energy consumptions is then used as the total energy consumption of the data center digital twin chilled water system energy consumption model. Compared to existing artificial intelligence methods, this method eliminates the need for data training, thus not only solving the problem of consuming large amounts of computing resources but also improving calculation accuracy.

[0035] To make the above-mentioned objectives, features and advantages to be achieved by the embodiments of this application more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0036] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments of this application will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0037] Figure 1 This illustration shows a structural schematic diagram of a constructed energy consumption model of a data center digital twin chilled water system provided in an embodiment of this application;

[0038] Figure 2 This paper presents a flowchart illustrating an energy consumption optimization and coupling control method for a data center digital twin chilled water system according to an embodiment of this application.

[0039] Figure 3 This paper presents a flowchart illustrating a specific method for energy consumption optimization and coupling control of a data center digital twin chilled water system according to an embodiment of this application.

[0040] Figure 4 A flowchart illustrating an energy consumption optimization implementation provided in an embodiment of this application is shown. Detailed Implementation

[0041] To better explain and facilitate understanding of the present invention, the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0042] Currently, in addition to artificial intelligence-based methods, existing technologies also include traditional PID control methods. PID control is a classic control method that measures the error between the system output and the desired output, and adjusts the controller output according to the magnitude of the error to control the system. In data centers, PID control is also widely used for energy consumption control in chilled water systems.

[0043] For example, this method measures parameters such as the flow rate and temperature of cooling water, calculates the energy consumption of cooling water based on these parameters, and then adjusts the flow rate and temperature of cooling water according to the output of the PID controller, thereby controlling the energy consumption of the chilled water system.

[0044] However, this traditional PID control method suffers from drawbacks such as poor sensitivity and robustness, which affect its application in data centers. Therefore, more and more research is exploring other, more advanced control methods.

[0045] Furthermore, this may include model predictive control (MMCC) methods, which are control methods based on mathematical models. These methods establish a mathematical model of the system and predict its future state based on the model, thereby adjusting the controller's output to control the system. In data centers, MMCC is also widely used for energy consumption control in chilled water systems.

[0046] For example, this method establishes a mathematical model of a data center chilled water system, predicts the future flow rate and temperature of the cooling water based on the model, and then adjusts the flow rate and temperature of the cooling water based on the prediction results, thereby controlling the energy consumption of the chilled water system.

[0047] However, this model predictive control method has higher control accuracy and better robustness compared to the traditional PID control method, but it requires the establishment of a mathematical model of the system, so it consumes a lot of computing resources in practical applications.

[0048] Additionally, hybrid control methods may be included, which combine multiple different control methods to fully leverage the advantages of each method and improve control accuracy and robustness. In data centers, hybrid control methods are also widely used in the energy consumption control of chilled water systems.

[0049] For example, this hybrid control method involves establishing a mathematical model of the data center chilled water system, predicting the future flow rate and temperature of the cooling water based on the model, and then adjusting the flow rate and temperature of the cooling water based on the prediction results. If the error between the prediction results and the actual results exceeds a certain range, a PID control method is used to adjust the output of the controller, thereby controlling the energy consumption of the chilled water system.

[0050] However, while this hybrid control method can fully leverage the advantages of each control method and improve control accuracy and robustness, it also has some problems, such as the difficulty in adjusting the controller parameters.

[0051] Based on this, this application provides a data center digital twin chilled water system energy consumption optimization coupling control method. By obtaining first energy consumption calculation parameters related to the three-dimensional outdoor environment system, second energy consumption calculation parameters related to the one-dimensional fluid network system, and third energy consumption calculation parameters related to the three-dimensional data center system, all under the condition that the three-dimensional outdoor environment system, one-dimensional fluid network system, and three-dimensional computer room system all meet their respective preset requirements, the method calculates the first energy consumption of the three-dimensional outdoor environment system based on the first energy consumption calculation parameters, the second energy consumption of the one-dimensional fluid network system based on the second energy consumption calculation parameters, and the third energy consumption of the three-dimensional data center system based on the third energy consumption calculation parameters. Finally, the sum of the first, second, and third energy consumptions is used as the total energy consumption of the data center digital twin chilled water system energy consumption model. This not only enables energy consumption assessment coupled with the three-dimensional thermal environment but also reduces data center energy consumption.

[0052] To better understand the above technical solutions, exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present invention are shown in the drawings, it should be understood that the present invention can be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that the present invention can be understood more clearly and thoroughly, and that the scope of the present invention can be fully conveyed to those skilled in the art.

[0053] Please see Figure 1 , Figure 1 This illustration shows a structural schematic of a constructed energy consumption model for a data center digital twin chilled water system, provided in an embodiment of this application. The energy consumption model for this data center digital twin chilled water system can be constructed based on a method for constructing a data center digital twin chilled water system energy consumption model described in application number 202310607342.9. Specifically, the energy consumption model includes a three-dimensional outdoor environment system, a one-dimensional fluid network system, and a three-dimensional computer room system. Both the three-dimensional outdoor environment system and the three-dimensional computer room system can be three-dimensional systems, and the one-dimensional fluid network system can be a one-dimensional system.

[0054] Furthermore, the main equipment in the energy consumption model of the data center digital twin chilled water system may include cooling towers (which may include three-dimensional outdoor cooling towers and one-dimensional cooling towers, wherein the three-dimensional outdoor cooling towers include cooling tower 1 and cooling tower 2, etc., located in a three-dimensional outdoor environment system, and the one-dimensional cooling towers include cooling tower 1 and cooling tower 2, etc., located in a one-dimensional fluid network system), chiller units, water pumps (which may include cooling water pumps and chilled water pumps), terminals, and IT equipment, and the energy consumption-related methods of the above equipment are shown in Table 1 below. The terminals may be air conditioners installed in the computer room, which have heat exchange coils and fans.

[0055] Table 1

[0056]

[0057] And, for Figure 1 In the data center digital twin chilled water system energy consumption model shown, the white hollow circles represent control equipment parameters, and the black solid circles represent control values.

[0058] Among them, white hollow circles 1 and 3 represent the rotational speed of cooling tower fan 1; white hollow circles 2 and 4 represent the rotational speed of cooling tower fan 2; white hollow circle 5 represents the rotational speed of cooling water pump; white hollow circle 6 represents the rotational speed of chilled water pump; white hollow circle 7 represents the opening degree of water valve 1 at terminal 1; white hollow circle 8 represents the opening degree of water valve 2 at terminal 2; white hollow circle 9 represents the rotational speed of fan 1 at terminal 1; white hollow circle 10 represents the rotational speed of fan 2 at terminal 2; and white hollow circle 11 represents the rotational speed of fan 1 for IT equipment.

[0059] Furthermore, black solid circles 1 and 3 represent the outlet water temperature of cooling tower 1; black solid circles 2 and 4 represent the outlet water temperature of cooling tower 2; black solid circle 5 represents the inlet water temperature of the condenser; black solid circle 6 represents the outlet water temperature of the condenser; black solid circle 7 represents the inlet water pressure; black solid circle 8 represents the outlet water pressure; black solid circle 9 represents the temperature or pressure on the inlet side of terminal 1; black solid circle 10 represents the temperature or pressure on the outlet side of terminal 1; black solid circle 11 represents the temperature or pressure on the outlet side of terminal 2; black solid circle 12 represents the temperature or pressure on the outlet side of terminal 2; black solid circle 13 represents the inlet and outlet air temperature or load of IT equipment; and black solid circles 14 and 15 represent the inlet and outlet water temperatures of the evaporator.

[0060] Please see Figure 2 , Figure 2 A flowchart illustrating an energy consumption optimization and coupling control method for a data center digital twin chilled water system according to an embodiment of this application is shown. Specifically, this energy consumption optimization and coupling control method for a data center digital twin chilled water system is based on, for example... Figure 1 The constructed data center digital twin chilled water system energy consumption model shown is implemented, and the data center digital twin chilled water system energy consumption model includes a three-dimensional outdoor environment system, a one-dimensional fluid network system, and a three-dimensional computer room system. The energy consumption optimization and coupling control method of the data center digital twin chilled water system includes:

[0061] Step S210: If the three-dimensional outdoor environment system, the one-dimensional fluid network system and the three-dimensional computer room system all meet the corresponding preset requirements, obtain the first energy consumption calculation parameters related to the three-dimensional outdoor environment system, the second energy consumption calculation parameters related to the one-dimensional fluid network system and the third energy consumption calculation parameters related to the three-dimensional computer room system.

[0062] Step S220: Calculate the first energy consumption of the three-dimensional outdoor environment system based on the first energy consumption calculation parameters;

[0063] Step S230: Calculate the second energy consumption of the one-dimensional fluid network system based on the second energy consumption calculation parameters;

[0064] Step S240: Calculate the third energy consumption of the three-dimensional computer room system based on the third energy consumption calculation parameters;

[0065] Step S250: The sum of the energy consumption of the first energy consumption, the second energy consumption, and the third energy consumption is used as the total energy consumption of the data center digital twin chilled water system energy consumption model.

[0066] To facilitate understanding of the embodiments of this application, specific embodiments are described below.

[0067] Specifically, please see Figure 3 , Figure 3 This document illustrates a flowchart of a data center digital twin chilled water system energy consumption optimization and coupling control method according to an embodiment of this application. Specifically, the method includes the following steps:

[0068] For a three-dimensional outdoor environment system (or three-dimensional outdoor environment), according to Figure 1 The variable frequency fan is controlled by the outlet water temperature of the outdoor cooling tower (for example, it may include the outlet water temperature of cooling tower 1 corresponding to black solid circle 1 and the outlet water temperature of cooling tower 2 corresponding to black solid circle 2). If the outlet water temperature of the outdoor cooling tower does not meet the first preset value requirement, the speed of the outdoor fan is adjusted until the stable speed of the outdoor fan is reached. For example, if the outdoor fan speed meets the first preset value requirement before reaching the maximum speed, then the speed at this time is the stable speed of the outdoor fan; as another example, if the outdoor fan speed still cannot meet the first preset value requirement when it reaches the minimum speed, then the minimum speed is the stable speed of the outdoor fan; as yet another example, if the outdoor fan speed still cannot meet the first preset value requirement when it reaches the maximum speed, then the maximum speed is the stable speed of the outdoor fan.

[0069] Furthermore, if the first energy consumption calculation parameter includes the stable speed of the outdoor fan of the outdoor cooling tower, the energy consumption of the outdoor fan can be calculated based on the stable speed of the outdoor fan, and the energy consumption of the outdoor fan can be used as the first energy consumption.

[0070] It should be understood that the specific process for calculating the energy consumption of the outdoor fan based on its stable rotational speed can be set according to actual needs, and the embodiments of this application are not limited thereto.

[0071] For example, the energy consumption of outdoor fans can be calculated based on wind turbine laws or curves.

[0072] It should also be understood that the specific value or range required by the first preset value can be set according to actual needs, and the embodiments of this application are not limited thereto.

[0073] Correspondingly, other preset value requirements (such as the second preset value requirement, etc.) are similar and will not be described in detail later.

[0074] Furthermore, for a one-dimensional fluid network system (or simply a one-dimensional fluid network), after the outdoor fan reaches its stable speed, the wet-bulb temperature of the incoming air from the outdoor cooling tower is transferred to the one-dimensional cooling tower, so that the cooling water circulation is formed on the cooling side of the one-dimensional cooling tower, cooling water pump, and chiller unit. And the control of the cooling water pump is based on... Figure 1 The cooling water pump speed is controlled by the temperature difference between the condenser outlet water temperature (i.e., the solid black circle 6) and the condenser inlet water temperature (i.e., the solid black circle 5). If the temperature difference between the condenser outlet and inlet water temperatures does not meet the second preset value requirement, the cooling water pump speed is adjusted until a stable speed is reached. The stable speed of the cooling water pump is either the speed at which the second preset value requirement is met, or the minimum or maximum speed of the cooling water pump.

[0075] Furthermore, when the second energy consumption calculation parameter includes the stable speed of the cooling water pump, the energy consumption of the cooling water pump is calculated based on the stable speed of the cooling water pump.

[0076] It should be understood that the specific process for calculating the energy consumption of the cooling water pump based on its stable speed can also be set according to actual needs, and the embodiments of this application are not limited thereto.

[0077] For example, the energy consumption of cooling water pumps can be calculated based on fan laws or curves.

[0078] Furthermore, considering that the chiller unit includes a cooling water side for heat dissipation of the condenser and a chilled water side for heat exchange with the evaporator, the chiller unit outputs a chilled water outlet temperature that meets the controller's setpoint requirements (i.e., black solid circles 14 and 15). In other words, the chiller unit's controller operates based on the chilled water outlet temperature. Additionally, a curve relating to the chiller unit's energy consumption is fitted using a two-dimensional table consisting of the chilled water outlet temperature meeting the fourth preset value, the chiller unit's cooling water inlet temperature (i.e., black solid circle 5), partial load, and the coefficient of performance (COP). The chiller unit's energy consumption is then calculated based on this curve.

[0079] And, the chilled water pump on the chiller chilled water side according to Figure 1 The pressure difference between the inlet water pressure (i.e., the solid black circle 7) and the outlet water pressure (i.e., the solid black circle 8) controls the speed of the chilled water pump. Furthermore, if the pressure difference between the inlet riser pressure and the outlet riser pressure at the most unfavorable end does not meet the third preset value requirement, the speed of the chilled water pump is adjusted until a stable speed is reached. The stable speed of the chilled water pump is the speed at which the third preset value requirement is met, or the minimum or maximum speed of the chilled water pump. The most unfavorable end refers to the end with the lowest water flow rate.

[0080] Furthermore, if the second energy consumption calculation parameter further includes the stable speed of the chilled water pump, the energy consumption of the chilled water pump is calculated based on the stable speed of the chilled water pump.

[0081] It should be understood that the specific process for calculating the energy consumption of the chilled water pump based on its stable rotational speed can also be set according to actual needs, and the embodiments of this application are not limited thereto.

[0082] For example, the energy consumption of chilled water pumps can be calculated based on fan laws or curves.

[0083] Therefore, based on the above structure, the energy consumption of the cooling water pump, the energy consumption of the chilled water pump, and the energy consumption of the chiller unit can be used as the second energy consumption.

[0084] In addition, for a 3D data center suite system, the terminal units can be divided into water-side and air-side. The water-side is connected to a chilled water pump to provide cooling for the hot air in the data center suite. The air-side uses fans to deliver the cooled air to the inlets of IT equipment such as servers. The water valves and fan speeds in the terminal units can be controlled via... Figure 1 The temperature or pressure difference between the black solid circles 9 and 10, or the temperature at a specified location, controls the speed of the terminal fan.

[0085] For example, if the temperature difference between the inlet and outlet air temperatures at the terminal does not meet the fifth preset value requirement, the speed of the terminal fan is adjusted until the first stable speed of the terminal fan is reached; wherein, the first stable speed of the terminal fan is the speed at which the fifth preset value requirement is met, or the minimum or maximum speed of the terminal fan. Furthermore, based on the first stable speed of the terminal fan, the energy consumption of the terminal fan is calculated, and based on the energy consumption of the terminal fan, the third energy consumption is determined.

[0086] For example, if the pressure difference between the inlet and outlet pressures at the terminal does not meet the sixth preset value requirement, the speed of the terminal fan is adjusted until the second stable speed of the terminal fan is reached; wherein, the second stable speed of the terminal fan is the speed at which the sixth preset value requirement is met, or the minimum or maximum speed of the terminal fan. Furthermore, based on the second stable speed of the terminal fan, the energy consumption of the terminal fan is calculated, and based on the energy consumption of the terminal fan, the third energy consumption is determined.

[0087] For example, if the temperature at a specified location does not meet the seventh preset value requirement, the speed of the terminal fan is adjusted until the third stable speed of the terminal fan is reached; wherein, the third stable speed of the terminal fan is the speed at which the seventh preset value requirement is met, or the minimum speed or maximum speed of the terminal fan. Furthermore, based on the third stable speed of the terminal fan, the energy consumption of the terminal fan is calculated, and based on the energy consumption of the terminal fan, the third energy consumption is determined.

[0088] It should be understood that the specific location of the designated position can also be set according to actual needs, and the embodiments of this application are not limited thereto.

[0089] For example, the specified location is any one of the following: the end air outlet, the end air return outlet, a specified location within the cold aisle (e.g., the upper, middle, or lower part of the cold aisle), and the server entrance.

[0090] As explained above, the terminal unit supplies cool air to the inlet of the IT equipment to cool the heat dissipated by the chips and other components. The IT equipment also contains fans, and the fan speed can be adjusted based on the inlet air temperature or load rate of the IT equipment. Figure 1 The fan is controlled by a solid black circle 13, and its power consumption can be calculated after the rotation speed is determined.

[0091] It should also be noted here that, through the above... Figure 3 Having understood the control process and energy consumption calculation flow, which may include multiple controllers, the following section explains how to obtain optimal data center energy consumption through these controllers.

[0092] Specifically, the way to minimize energy consumption in data center components such as cooling towers, chillers, pumps, terminals, and IT equipment is to reduce the speed of fans or pumps as much as possible. For chillers, this means reducing the compressor speed to keep it operating at its highest efficiency point. However, the speed cannot be reduced indiscriminately. If it is too low, it can lead to insufficient chilled water supply or insufficient fan airflow, both of which can cause hotspots in IT equipment. Optimal data center energy consumption can be achieved through the control of these systems, while ensuring a safe thermal environment for the operation of IT equipment.

[0093] Please see Figure 4 , Figure 4 A flowchart illustrating an energy consumption optimization implementation provided in an embodiment of this application is shown. Figure 4 As shown, Figure 4 It still includes three systems: a 3D outdoor environment system, a 1D fluid network system, and a 3D computer room suite. However, it emphasizes the controller's workflow, with the dashed lines representing the controller's feedback path. Furthermore, when performing coupled 1D and 3D calculations, the controller needs to continuously iterate and optimize the calculations to obtain the final solution.

[0094] It should be noted that the optimized control requirements assume the following preconditions: stable IT load in the data center, adjustable chilled water outlet temperature in the chillers, variable frequency drives for all fans and pumps, and favorable outdoor and thermal environments within the data center. In these cases, optimization is not required. If the above conditions are not met, optimized control will only adjust adjustable equipment.

[0095] And, such as Figure 4 As shown, the optimized control adopted to reduce the energy consumption of the terminal fan is to use temperature difference + supply air temperature control. The temperature difference is the minimum temperature difference between the air inlet and outlet of all IT devices, and the supply air temperature is the maximum temperature at the air inlet of all IT devices.

[0096] Typically, the sensors of the terminal fan controller are located at the air supply and return vents of the air conditioner, or at the top of the hot and cold aisles. The temperature difference in these areas is smaller than that of the air inlet and outlet of the IT equipment, causing the air conditioner fan to output a larger air volume and increase energy consumption. Optimized control places the sensors at the air inlet and outlet of the IT equipment, resulting in more precise control. Furthermore, the increased temperature difference leads to an increase in the supply air temperature, thereby reducing the fan's power consumption.

[0097] In addition, see also Figure 4 The optimized control method adopted to reduce the energy consumption of IT equipment fans is to use IT equipment inlet air temperature control. The inlet air temperature of IT equipment is set to the maximum allowable inlet air temperature of IT equipment, while ensuring that this temperature will not increase the fan speed and thus will not increase the fan energy consumption. Increased fan energy consumption of IT equipment is not useful work and is not conducive to reducing carbon emissions.

[0098] Furthermore, the controller of the IT equipment fan usually controls the fan speed based on the chip temperature or load rate. When the control sensor is placed at the inlet of the IT equipment, it is in the same position as the terminal air supply temperature control point, which is conducive to the coordinated work of the terminal fan and the IT equipment fan.

[0099] Additionally, see also Figure 4 The optimized control method used to reduce the energy consumption of chilled water pumps is temperature difference and pressure difference control, with the temperature difference point being... Figure 1 The temperature difference between the two points, black solid circles 14 and 15, and... Figure 1 The controller should prioritize maintaining the pressure difference between the solid black circles 7 and 8, and then increase the temperature difference based on the terminal control situation. This can reduce the energy consumption of the refrigeration pump.

[0100] In addition, see also Figure 4 To reduce chiller energy consumption, optimized control is adopted, which involves controlling the chilled water outlet temperature and increasing the chilled water outlet temperature.

[0101] Additionally, see also Figure 4 To reduce the energy consumption of the cooling water pump, optimized control is adopted by using temperature difference control, which improves... Figure 1 The temperature difference between the solid black circles 5 and 6.

[0102] In addition, see also Figure 4 The optimized control method adopted to reduce cooling tower energy consumption is to control the cooling tower outlet water temperature and increase the cooling tower outlet water temperature.

[0103] Furthermore, the method for reducing energy consumption for all the aforementioned devices is to increase the temperature difference, starting from the terminal. Increasing the controlled temperature difference or control temperature affects the temperature difference on the chilled water and cooling water sides, which in turn affects the energy consumption of water pumps, cooling towers, chillers, and IT equipment fans. All these energy consumptions combined constitute the total energy consumption of the data center. However, it's important to note that the energy consumption of IT equipment fans increases significantly with rising inlet air temperatures. This fan power consumption is not used in calculations and only increases carbon emissions. The chiller outlet water temperature cannot be increased indefinitely; it must remain within the chiller's output capacity requirements. For all these reasons, the energy consumption of chilled water system equipment has an optimal point as the terminal temperature difference and control temperature increase, as detailed in the attached diagram. The purpose of control optimization is to find this optimal point.

[0104] In summary, by utilizing the above technical solutions, this application proposes an optimized control combination that can perform energy consumption assessment in a one-dimensional and three-dimensional coupled energy consumption model. Furthermore, when the outdoor environment changes, optimized control of the fluid equipment in the digital twin system ensures a safe thermal environment for the IT equipment in the three-dimensional computer room, achieving optimal equipment energy consumption.

[0105] It should be understood that the above-described energy consumption optimization and coupling control method for data center digital twin chilled water systems is merely exemplary. Those skilled in the art can make various modifications based on the above method, and the modified solutions also fall within the protection scope of this application.

[0106] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0107] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, as well as combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions.

[0108] It should be noted that any reference numerals placed between parentheses in the claims should not be construed as limiting the claims. The word "comprising" does not exclude the presence of components or steps not listed in the claims. The word "a" or "an" preceding a component does not exclude the presence of a plurality of such components. The invention can be implemented by means of hardware comprising several different components and by means of a suitably programmed computer. In claims that enumerate several means, several of these means may be embodied by the same hardware. The use of the terms first, second, third, etc., is merely for convenience of expression and does not indicate any order. These terms can be understood as part of the component names.

[0109] Furthermore, it should be noted that in the description of this specification, the terms "one embodiment," "some embodiments," "embodiment," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Furthermore, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0110] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the claims should be interpreted to include both the preferred embodiments and all changes and modifications falling within the scope of the invention.

[0111] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, then this invention should also include these modifications and variations.

Claims

1. A method for energy consumption optimization and coupled control of a data center digital twin chilled water system, characterized in that, The energy consumption optimization and coupling control method for the data center digital twin chilled water system is based on the constructed energy consumption model of the data center digital twin chilled water system. The energy consumption model of the data center digital twin chilled water system includes a three-dimensional outdoor environment system, a one-dimensional fluid network system, and a three-dimensional computer room system. The three-dimensional outdoor environment system includes an outdoor cooling tower, and the one-dimensional fluid network system includes a one-dimensional cooling tower, a cooling water pump, a chiller unit, and a chilled water pump. The energy consumption optimization and coupling control method for the data center digital twin chilled water system includes: When the three-dimensional outdoor environment system, the one-dimensional fluid network system, and the three-dimensional computer room system all meet their respective preset requirements, the first energy consumption calculation parameter related to the three-dimensional outdoor environment system, the second energy consumption calculation parameter related to the one-dimensional fluid network system, and the third energy consumption calculation parameter related to the three-dimensional computer room system are obtained; when the outlet water temperature of the outdoor cooling tower does not meet the first preset value requirement, the speed of the outdoor fan is adjusted until the stable speed of the outdoor fan is reached; wherein, the stable speed of the outdoor fan is the speed at which the first preset value requirement is met or the speed of the outdoor fan. The minimum or maximum speed; after the outdoor fan reaches its stable speed, the wet-bulb temperature of the air entering the outdoor cooling tower is transferred to the one-dimensional cooling tower, so that the one-dimensional cooling tower, the cooling water pump, and the cooling side of the chiller unit form a cooling water circulation; if the temperature difference between the outlet water temperature of the condenser and the inlet water temperature of the condenser does not meet the second preset value requirement, the speed of the cooling water pump is adjusted until the stable speed of the cooling water pump is reached; wherein, the stable speed of the cooling water pump is the speed at which the second preset value requirement is met or the minimum or maximum speed of the cooling water pump; Based on the first energy consumption calculation parameters, the first energy consumption of the three-dimensional outdoor environment system is calculated; Based on the second energy consumption calculation parameters, the second energy consumption of the one-dimensional fluid network system is calculated; Based on the aforementioned third energy consumption calculation parameters, the third energy consumption of the three-dimensional computer room system is calculated. The sum of the energy consumption of the first energy consumption, the second energy consumption, and the third energy consumption is taken as the total energy consumption of the data center digital twin chilled water system energy consumption model; The first energy consumption calculation parameter includes the stable speed of the outdoor fan of the outdoor cooling tower; And, the calculation of the first energy consumption of the three-dimensional outdoor environment system based on the first energy consumption calculation parameters includes: Based on the stable rotational speed of the outdoor fan, the energy consumption of the outdoor fan is calculated, and the energy consumption of the outdoor fan is used as the first energy consumption. The second energy consumption calculation parameter includes the stable speed of the cooling water pump.

2. The energy consumption optimization and coupling control method for a data center digital twin chilled water system according to claim 1, characterized in that, The three-dimensional computer room system includes the most unfavorable terminal, and the second energy consumption calculation parameter further includes the stable speed of the chilled water pump; Wherein, the step of obtaining the first energy consumption calculation parameter related to the three-dimensional outdoor environment system, the second energy consumption calculation parameter related to the one-dimensional fluid network system, and the third energy consumption calculation parameter related to the three-dimensional computer room system, when the three-dimensional outdoor environment system, the one-dimensional fluid network system, and the three-dimensional computer room system all meet the corresponding preset requirements, further includes: If the temperature difference meets the second preset value requirement and the pressure difference between the inlet riser pressure at the most unfavorable end and the outlet riser pressure at the most unfavorable end does not meet the third preset value requirement, the speed of the chilled water pump is adjusted until the stable speed of the chilled water pump is reached; wherein, the stable speed of the chilled water pump is the speed at which the third preset value requirement is met, or the minimum speed or maximum speed of the chilled water pump.

3. The energy consumption optimization and coupling control method for a data center digital twin chilled water system according to claim 2, characterized in that, The calculation of the second energy consumption of the one-dimensional fluid network system based on the second energy consumption calculation parameters includes: Calculate the energy consumption of the cooling water pump based on its stable rotational speed. Calculate the energy consumption of the chilled water pump based on its stable rotational speed. The second energy consumption is determined based on the energy consumption of the cooling water pump and the energy consumption of the chilled water pump.

4. The energy consumption optimization and coupling control method for a data center digital twin chilled water system according to claim 3, characterized in that, Determining the second energy consumption based on the energy consumption of the cooling water pump and the energy consumption of the chilled water pump includes: When the chiller unit includes a cooling water side for heat dissipation of the condenser and a chilled water side for heat exchange with the evaporator, based on the chilled water outlet temperature of the chiller unit that meets the fourth preset value requirement, the cooling water inlet temperature of the chiller unit, the partial load and the cooling energy efficiency coefficient, a curve related to the energy consumption of the chiller unit is fitted, and the energy consumption of the chiller unit is calculated according to the curve. The energy consumption of the cooling water pump, the energy consumption of the chilled water pump, and the energy consumption of the chiller unit are summed as the second energy consumption.

5. The energy consumption optimization and coupling control method for a data center digital twin chilled water system according to claim 4, characterized in that, The third energy consumption calculation parameter includes the fourth stable speed of the end fan; Wherein, when the three-dimensional outdoor environment system, the one-dimensional fluid network system, and the three-dimensional computer room system all meet the corresponding preset requirements, the acquisition of the first energy consumption calculation parameters related to the three-dimensional outdoor environment system, the second energy consumption calculation parameters related to the one-dimensional fluid network system, and the third energy consumption calculation parameters related to the three-dimensional computer room system includes: If the temperature difference between the inlet temperature and the outlet temperature at the terminal does not meet the fifth preset value requirement, the speed of the fan at the terminal is adjusted until the first stable speed of the fan at the terminal is reached; wherein, the first stable speed of the fan at the terminal is the speed at which the fifth preset value requirement is met, or the minimum speed or maximum speed of the fan at the terminal. And, the calculation of the third energy consumption of the three-dimensional computer room system based on the third energy consumption calculation parameters includes: Based on the first stable speed of the terminal fan, the energy consumption of the terminal fan is calculated, and based on the energy consumption of the terminal fan, the third energy consumption is determined.

6. The energy consumption optimization and coupling control method for a data center digital twin chilled water system according to claim 4, characterized in that, The third energy consumption calculation parameter includes the second stable speed of the end fan; Wherein, when the three-dimensional outdoor environment system, the one-dimensional fluid network system, and the three-dimensional computer room system all meet the corresponding preset requirements, the acquisition of the first energy consumption calculation parameters related to the three-dimensional outdoor environment system, the second energy consumption calculation parameters related to the one-dimensional fluid network system, and the third energy consumption calculation parameters related to the three-dimensional computer room system includes: If the pressure difference between the inlet pressure and the outlet pressure at the terminal does not meet the sixth preset value requirement, the speed of the fan at the terminal is adjusted until the second stable speed of the fan at the terminal is reached; wherein, the second stable speed of the fan at the terminal is the speed at which the sixth preset value requirement is met, or the minimum speed or maximum speed of the fan at the terminal. And, the calculation of the third energy consumption of the three-dimensional computer room system based on the third energy consumption calculation parameters includes: Based on the second stable rotational speed of the terminal fan, the energy consumption of the terminal fan is calculated, and based on the energy consumption of the terminal fan, the third energy consumption is determined.

7. The energy consumption optimization and coupling control method for a data center digital twin chilled water system according to claim 4, characterized in that, The third energy consumption calculation parameter includes the third stable speed of the end fan; Wherein, when the three-dimensional outdoor environment system, the one-dimensional fluid network system, and the three-dimensional computer room system all meet the corresponding preset requirements, the acquisition of the first energy consumption calculation parameters related to the three-dimensional outdoor environment system, the second energy consumption calculation parameters related to the one-dimensional fluid network system, and the third energy consumption calculation parameters related to the three-dimensional computer room system includes: If the temperature at the designated location does not meet the seventh preset value requirement, adjust the speed of the terminal fan until the third stable speed of the terminal fan is reached; wherein, the third stable speed of the terminal fan is the speed at which the seventh preset value requirement is met, or the minimum speed or maximum speed of the terminal fan. And, the calculation of the third energy consumption of the three-dimensional computer room system based on the third energy consumption calculation parameters includes: Based on the third stable speed of the terminal fan, the energy consumption of the terminal fan is calculated, and based on the energy consumption of the terminal fan, the third energy consumption is determined.

8. The energy consumption optimization and coupling control method for a data center digital twin chilled water system according to claim 7, characterized in that, The designated location is any one of the following: the air outlet of the terminal, the air return outlet of the terminal, a designated location within the cold aisle, and the entrance of the server.

Images