Distributed intelligent calculation center coupled with land wind power generation and energy consumption control system and method

Abstract

The invention discloses a distributed intelligent calculation center coupled with land wind power generation and an energy consumption control system and method. An integrated system comprising a wind power generation system, an energy storage system and a distributed intelligent calculation center system is constructed; the wind power generation system converts wind energy to supply power, and the energy storage system stores redundant electric energy and releases the redundant electric energy when needed to guarantee stable operation of the intelligent calculation center. The distributed intelligent calculation center systems are in one-to-one correspondence with fan site selection positions, and the natural environment is utilized for heat dissipation; a heat dissipation system is further arranged and comprises an air cooling system and a liquid cooling system, the air cooling system dissipates heat through natural low-temperature air, the liquid cooling system dissipates heat through natural water circulation in a water storage pool on the mountain and under the mountain, the heat dissipation efficiency is improved, and energy consumption is reduced; according to the wind power generation power and the real-time power utilization demand of the intelligent calculation center, the charging and discharging strategy of the energy storage system is dynamically adjusted, stable power supply is ensured, resources of the intelligent calculation center are flexibly scheduled according to the task load, efficient utilization is achieved, energy consumption of the intelligent calculation center is remarkably reduced, the wind energy utilization rate is increased, and development of the green data center is promoted.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing and energy utilization, and in particular to a system and method for a distributed intelligent computing center and energy consumption control coupled with onshore wind power generation. Background Art

[0002] With the explosive growth of global informatization and data volume, data centers, as core facilities for data storage and processing, have become increasingly energy-intensive. The high energy consumption of data centers not only increases operating costs, but also creates tremendous pressure on the environment. Therefore, how to reduce the energy consumption of data centers and improve energy efficiency has become a technical issue that needs to be solved urgently.

[0003] In the existing data center cooling technology, the air conditioning system is mainly used for cooling and heat dissipation. The air conditioning system takes away the heat in the computer room and discharges it to the outside through the circulation of refrigerant and heat exchange of air. However, this traditional heat dissipation method has many shortcomings. First, the energy consumption of the air conditioning system is high, accounting for a large part of the total energy consumption of the data center. Secondly, the air conditioning system consumes a lot of water resources for cooling, which causes a waste of water resources. In addition, the air conditioning system generates noise and emits greenhouse gases during the heat dissipation process, which has a certain impact on the environment.

[0004] In order to improve the shortcomings of traditional heat dissipation technology, some new heat dissipation technologies have emerged. For example, liquid cooling technology removes heat through liquid circulation, and has high heat dissipation efficiency, but the cost and maintenance cost are relatively high, and professional technicians are required for maintenance. Another technology is air cooling technology, which uses fans and radiators for heat dissipation. It has a lower cost, but the heat dissipation efficiency is relatively low, and the heat dissipation effect is limited in high-density data centers.

[0005] In recent years, with the rapid development of renewable energy, the technology of using natural energy for data center heat dissipation has gradually attracted attention. Among them, wind energy, as a clean and renewable energy, has great application potential. However, there are relatively few technologies that directly apply wind energy to data center heat dissipation, and there are some problems. For example, wind energy resources are unevenly distributed and are greatly affected by seasons and weather, resulting in unstable heat dissipation effects. In addition, existing wind energy heat dissipation systems are often complex in structure, with high construction and maintenance costs, making them difficult to be widely promoted in practical applications.

[0006] In response to the above problems, the present invention proposes a system and method for a distributed intelligent computing center and energy consumption control coupled with onshore wind power generation, aiming to utilize the natural resource advantages of onshore wind farms to achieve efficient and low-energy heat dissipation in data centers. The present invention provides a stable power supply and efficient heat dissipation solution for data centers by utilizing the distributed coupling layout of data centers and onshore wind farms, making full use of the electricity generated by wind power generation and the low-temperature resources in the natural environment. At the same time, the present invention also combines the application of energy storage systems to further improve energy utilization efficiency and reduce the operating costs and environmental pressures of data centers. Summary of the invention

[0007] The technical problem to be solved by the present invention is to provide a system and method for distributed intelligent computing center and energy consumption control coupled with onshore wind power generation, so as to solve the technical problems of high energy consumption, high dependence on the power grid and poor heat dissipation of traditional intelligent computing centers.

[0008] In order to solve the above technical problems, the technical solution adopted by the present invention is: a system for the distribution and energy consumption control of an intelligent computing center coupled with onshore wind power generation, including a wind power generation system, which provides power support for the intelligent computing center and the energy storage system; an energy storage system connected to the wind power generation system, which stores excess electric energy generated by the wind power generation system, and releases electric energy when the wind power generation power is insufficient, thereby ensuring the stable operation of the intelligent computing center; a distributed intelligent computing center system connected to the wind power generation system, including multiple intelligent computing center units, each of which is distributedly arranged in a one-to-one correspondence with the wind turbine site of the wind power generation system, and dissipates heat by utilizing the natural environment advantages of the wind power generation site; the system is also provided with a heat dissipation system, including an air cooling system and a liquid cooling system.

[0009] In the preferred scheme, the wind power generation system includes a tower, blades, a hub, a nacelle, a main bearing, a gearbox, a generator and a power supply system, which is used to convert wind energy into electrical energy to provide power support for the intelligent computing center and the energy storage system; the siting and layout of the wind turbines take into account the richness of wind energy resources while taking into account the coordination with the intelligent computing center to reduce the power consumption ratio PUE of the intelligent computing center.

[0010] In the preferred scheme, the energy storage system includes a battery pack, a battery management system and an energy storage inverter, which is used to store excess electrical energy generated by the wind power generation system and release electrical energy when the wind power generation power is insufficient to ensure the stable operation of the intelligent computing center.

[0011] In the preferred solution, the energy storage system dynamically adjusts the charging and discharging strategy according to the wind power generation power and the real-time power demand of the intelligent computing center to ensure the stability of power supply.

[0012] In a preferred solution, the distributed intelligent computing center system includes multiple intelligent computing center units, and each intelligent computing center unit includes a computer room, a management system, a temperature control system, and a lighting system.

[0013] In a preferred solution, the distributed intelligent computing center system also includes an intelligent computing center control room, which is integrated with the wind power generation control center and jointly managed.

[0014] In the preferred scheme, the heat dissipation system includes an air cooling system and a liquid cooling system. The air cooling system dissipates heat through natural low-temperature wind, and the liquid cooling system uses natural water in reservoirs on the mountain and below for circulating heat to improve heat dissipation efficiency and reduce energy consumption.

[0015] In the preferred scheme, the air cooling system includes an air inlet duct, a fresh air fan, an air mixing chamber, a fan wall, an exhaust duct, and an air recovery duct. Natural low-temperature air enters the fresh air fan through the air inlet duct for filtration, then enters the air mixing chamber to mix with recycled air, and then passes through the fan wall to introduce the low-temperature air into the computer room, taking away the heat in the computer room, and then is discharged through the exhaust duct or recovered to the air mixing chamber through the recovery channel.

[0016] In the preferred scheme, the liquid cooling system includes a water reservoir, a cooling tower, a water pump, a heat exchanger and a cooling water circulation pipeline. The water reservoir collects rainwater and spring water, etc. Natural water enters the cooling tower after dissipating heat by utilizing the height difference and the natural environment during its upward flow, and is formed into cold source water after being treated. The cold source water is fully heat-exchanged in the heat exchanger with the cooling water after absorbing heat in the cabinet through the pipeline, thereby taking away the heat from the computer room.

[0017] In the preferred solution, the intelligent computing center is distributed in the wind farm station and can be centrally or decentralizedly scheduled according to the task volume to achieve flexible configuration and efficient utilization of computing resources.

[0018] A method for controlling energy consumption by using a system for intelligent computing center distribution and energy consumption control coupled with onshore wind power generation, the method comprising the following steps: Step 1: Convert wind energy into electrical energy through a wind power generation system to provide power support for the intelligent computing center and energy storage system; Step 2: Use the energy storage system to store the excess electricity generated by the wind power generation system and release the electricity when the wind power generation power is insufficient to ensure the stable operation of the intelligent computing center; Step 3: Distribute the intelligent computing center and the wind turbine site selection location of the wind power generation system in a one-to-one correspondence, and make full use of the natural environment advantages of the wind power plant for heat dissipation; Step 4: The intelligent computing center is cooled through the air cooling system and liquid cooling system of the heat dissipation system. The air cooling system uses natural low-temperature wind for heat dissipation, and the liquid cooling system uses natural water in the reservoirs on the mountain and below for circulating heat dissipation, thereby improving heat dissipation efficiency and reducing energy consumption.

[0019] The preferred solution also includes a step of dynamically adjusting the charging and discharging strategy of the energy storage system according to the wind power generation power and the real-time power demand of the intelligent computing center to ensure the stability of the power supply.

[0020] The preferred solution also includes the step of centralized or decentralized scheduling of the intelligent computing center according to the task volume, so as to achieve flexible configuration and efficient utilization of computing resources.

[0021] The system and method for distributed intelligent computing center and energy consumption control coupled with onshore wind power generation provided by the present invention have the following beneficial effects: 1. This invention fundamentally solves the technical problems of traditional intelligent computing centers, such as high energy consumption, heavy reliance on the power grid, and poor heat dissipation, through a series of innovative technologies, and improves the energy efficiency and stability of the intelligent computing center; 2. The distributed coupling layout of the present invention couples the intelligent computing center with the wind power generation system in a distributed manner, making full use of the natural environment advantages of the wind farm. This layout is not only conducive to heat dissipation, but also reduces the dependence on power grid power supply, and enhances the self-sufficiency of the intelligent computing center; 3. The application of the energy storage system of the present invention effectively smooths the intermittency and volatility of wind power generation through the energy storage system, ensuring that the intelligent computing center can still maintain a stable power supply when wind power generation is insufficient or unstable, thereby improving the reliability and stability of the system; 4. The innovative water-cooling heat dissipation system of the present invention utilizes water reservoirs on and below the mountain and the natural environment to dissipate heat, thereby improving heat dissipation efficiency, reducing dependence on traditional heat dissipation equipment, and reducing heat dissipation costs; 5. The present invention uses wind power generation to reduce energy consumption. It uses wind power generation as a clean energy source and combines it with an innovative heat dissipation system to significantly reduce the energy consumption of the intelligent computing center, which is in line with the development trend of green and environmental protection. 6. The energy storage system of the present invention ensures power supply, which once again emphasizes the role of the energy storage system in smoothing the intermittency and volatility of wind power generation, ensuring the continuous operation capability of the intelligent computing center in a complex power environment, and improving the overall performance of the system; 7. The flexible scheduling of the intelligent computing center of the present invention is distributed in the wind farm station, and can be centrally or decentralizedly scheduled according to the task volume, realizing the flexible configuration and efficient utilization of computing resources, and improving the utilization rate of computing resources; 8. The present invention significantly reduces the energy consumption and heat dissipation cost of the intelligent computing center and improves economic benefits by utilizing wind power generation and an innovative heat dissipation system; 9. The application of the energy storage system of the present invention ensures the stable power supply of the intelligent computing center and improves the reliability and stability of the system; 10. The innovative water cooling system of the present invention reduces operating costs, while reducing energy consumption and environmental pollution; 11. The intelligent computing center of the present invention can be flexibly scheduled according to the task volume, meeting the needs of different tasks and improving the utilization rate and overall performance of computing resources; 12. The technical solution of the present invention effectively solves the problems of high energy consumption, unstable power supply and low computing resource utilization of the intelligent computing center through a series of innovations and improvements, thereby achieving the effect of reducing energy consumption, improving energy utilization efficiency, enhancing system reliability and stability, and reducing operating costs, providing strong support for the sustainable development of the intelligent computing center. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The present invention will be further described below in conjunction with the accompanying drawings and implementation examples: Figure 1 It is a schematic diagram of the overall structure of the system of the present invention; Figure 2 Schematic diagram of the workflow of the method of the present invention In the figure: wind power generation system 1, energy storage system 2, distributed intelligent computing center system 3, and heat dissipation system 4. DETAILED DESCRIPTION

[0023] The technical solution of the present invention is further described below in conjunction with the accompanying drawings and embodiments: Example 1 like Figure 1 As shown, the system of distributed and energy consumption control of intelligent computing centers coupled with onshore wind power generation includes a wind power generation system 1, which provides power support for the intelligent computing center and an energy storage system 2; the energy storage system 2 connected to the wind power generation system 1 stores excess electric energy generated by the wind power generation system 1, and releases electric energy when the wind power generation power is insufficient, thereby ensuring the stable operation of the intelligent computing center; a distributed intelligent computing center system 3 connected to the wind power generation system 1 includes multiple intelligent computing center units, each of which is distributedly arranged in a one-to-one correspondence with the wind turbine site of the wind power generation system, and dissipates heat by utilizing the natural environment advantages of the wind power generation site; the system is also provided with a heat dissipation system 4, including an air cooling system and a liquid cooling system.

[0024] In this embodiment, the wind power generation system 1 includes a tower, blades, a hub, a nacelle, a main bearing, a gearbox, a generator and a power supply system, which is used to convert wind energy into electrical energy to provide power support for the intelligent computing center and the energy storage system 2; the siting and layout of the wind turbines take into account the richness of wind energy resources while taking into account the coordination with the intelligent computing center to reduce the power consumption ratio PUE (Power Usage Effectiveness) of the intelligent computing center.

[0025] Furthermore, the energy storage system 2, including a battery pack, a battery management system and an energy storage inverter, is used to store excess electrical energy generated by the wind power generation system and release electrical energy when the wind power generation power is insufficient to ensure the stable operation of the intelligent computing center.

[0026] Furthermore, the energy storage system 2 dynamically adjusts the charging and discharging strategy according to the wind power generation power and the real-time power demand of the intelligent computing center to ensure the stability of power supply.

[0027] Furthermore, the distributed intelligent computing center system 3 includes multiple intelligent computing center units, each of which includes a computer room, a management system, a temperature control system, and a lighting system.

[0028] Furthermore, the distributed intelligent computing center system 3 also includes an intelligent computing center control room, which is integrated with the wind power generation control center and jointly managed.

[0029] Furthermore, the heat dissipation system 4 includes an air cooling system and a liquid cooling system. The air cooling system dissipates heat through natural low-temperature wind, and the liquid cooling system uses natural water in reservoirs on the mountain and below to circulate and dissipate heat, so as to improve heat dissipation efficiency and reduce energy consumption.

[0030] Furthermore, the air cooling system includes an air inlet duct, a fresh air fan, an air mixing chamber, a fan wall, an exhaust duct, and an air recovery duct. Natural low-temperature air enters the fresh air fan through the air inlet duct for filtration, then enters the air mixing chamber to mix with recycled air, and then passes through the fan wall to introduce the low-temperature air into the computer room, taking away the heat in the computer room, and then is discharged through the exhaust duct or recovered to the air mixing chamber through the recovery channel.

[0031] Furthermore, the liquid cooling system includes a water reservoir, a cooling tower, a water pump, a heat exchanger and a cooling water circulation pipeline. The water reservoir collects rainwater and spring water, etc. Natural water enters the cooling tower after dissipating heat by utilizing the height difference and the natural environment during its upward flow, and is formed into cold source water after being treated. The cold source water is fully heat-exchanged in the heat exchanger with the cooling water after absorbing heat in the cabinet through the pipeline, thereby taking away the heat from the computer room.

[0032] Furthermore, the intelligent computing center is distributed in the wind farm stations, and can be centrally or decentralizedly scheduled according to the task volume to achieve flexible configuration and efficient utilization of computing resources.

[0033] Example 2 In another preferred embodiment, based on Example 1, Figure 2 As shown, a method for energy consumption control using a system of intelligent computing center distribution and energy consumption control coupled with onshore wind power generation includes the following steps: Step 1: Convert wind energy into electrical energy through wind power generation system 1 to provide power support for the intelligent computing center and energy storage system 2; Step 2: Use energy storage system 2 to store excess electricity generated by wind power generation system 1, and release electricity when wind power generation power is insufficient to ensure stable operation of the intelligent computing center; Step 3: Distribute the intelligent computing center and the wind turbine site selection locations of wind power generation system 1 in a one-to-one correspondence, and make full use of the natural environment advantages of the wind power plant for heat dissipation; Step 4: The intelligent computing center is cooled by the air cooling system and liquid cooling system of cooling system 4. The air cooling system uses natural low-temperature wind for heat dissipation, and the liquid cooling system uses natural water in the reservoirs on the mountain and below for circulating heat dissipation, thereby improving heat dissipation efficiency and reducing energy consumption.

[0034] In this embodiment, it also includes a step of dynamically adjusting the charging and discharging strategy of the energy storage system 2 according to the wind power generation power and the real-time power demand of the intelligent computing center to ensure the stability of the power supply.

[0035] Furthermore, it also includes the step of centralized or decentralized scheduling of the intelligent computing center according to the task volume, so as to achieve flexible configuration and efficient utilization of computing resources.

[0036] Example 3 In another preferred embodiment, based on embodiments 1 and 2, Figure 1 and Figure 2 As shown, the following is a detailed description of a specific implementation of the system and method for distributed intelligent computing center and energy consumption control coupled with onshore wind power generation of the present invention: The system of onshore wind power generation coupled with intelligent computing center distribution and energy consumption control in this embodiment mainly includes a wind power generation system 1, an energy storage system 2, a distributed intelligent computing center system 3 and a heat dissipation system 4.

[0037] The wind power generation system 1 includes a tower, blades, a hub, a nacelle, a main bearing, a gearbox, a generator and a power supply system; the tower serves as a supporting structure, the blades capture wind energy and transmit it to the generator through the hub and the gearbox, the generator converts mechanical energy into electrical energy, and provides power support for the intelligent computing center and the energy storage system 2 through the power supply system; the site selection and layout of the wind turbines not only consider the abundance of wind energy resources, but also take into account the coordination with the intelligent computing center to reduce the power consumption ratio PUE of the intelligent computing center; for example, in areas with abundant wind energy resources, such as mountainous areas or coastal areas, choose appropriate locations to install wind turbines, and at the same time, distribute the intelligent computing center units around these wind turbines to make full use of wind energy resources and reduce energy consumption.

[0038] Energy storage system 2 includes a battery pack, a battery management system and an energy storage inverter; the battery pack is used to store excess electrical energy generated by the wind power generation system, the battery management system is responsible for monitoring the status of the battery pack and controlling charging and discharging, and the energy storage inverter converts the DC power in the battery pack into the AC power required by the intelligent computing center; when the wind power generation power is insufficient, the energy storage system 2 releases electrical energy to ensure the stable operation of the intelligent computing center; in addition, the energy storage system 2 also dynamically adjusts the charging and discharging strategy according to the wind power generation power and the real-time power demand of the intelligent computing center to ensure the stability of the power supply.

[0039] The distributed intelligent computing center system 3 includes multiple intelligent computing center units, each of which is distributedly arranged in a one-to-one correspondence with the wind turbine site selection location of the wind power generation system; each intelligent computing center unit includes a computer room, a management system, a temperature control system, and a lighting system; the computer room is equipped with high-performance computing equipment, the management system is responsible for monitoring and managing the operating status of the computing equipment, and the temperature control system and the lighting system are responsible for the temperature control and lighting requirements of the computer room respectively; in addition, the distributed intelligent computing center system also includes an intelligent computing center control room, which is integrated with the wind power generation control center for joint management to achieve flexible scheduling and efficient utilization of computing resources.

[0040] The heat dissipation system 4 includes an air cooling system and a liquid cooling system; the air cooling system dissipates heat through natural low-temperature wind, including an air inlet channel, a fresh air fan, a mixed air chamber, a fan wall, an exhaust channel, and an air recovery channel; the natural low-temperature wind enters the fresh air fan through the air inlet channel for filtration, then enters the mixed air chamber to mix with the recovered air, and then passes through the fan wall to introduce the low-temperature air into the computer room, taking away the heat in the computer room, and finally is discharged through the exhaust channel or recycled to the mixed air chamber through the recovery channel for reuse; the liquid cooling system uses natural water in the reservoirs on the mountain and down the mountain for circulating heat dissipation, including a reservoir, a cooling tower, a water pump, a heat exchanger, and a cooling water circulation pipeline; the reservoir collects natural water resources such as rainwater and mountain spring water, and the natural water uses the height difference and the natural environment to dissipate heat during the upward flow process, and then enters the cooling tower, and forms cold source water after being treated. The cold source water is fully heat-exchanged in the heat exchanger with the cooling water that absorbs heat in the cabinet through the pipeline, taking away the heat in the computer room, achieving efficient heat dissipation and reducing energy consumption.

[0041] In specific applications, the system controls energy consumption through the following steps: first, wind energy is converted into electrical energy through wind power generation system 1 to provide power support for the intelligent computing center and energy storage system; second, the energy storage system 2 is used to store the excess electrical energy generated by the wind power generation system, and release the electrical energy when the wind power generation power is insufficient to ensure the stable operation of the intelligent computing center; then, the intelligent computing center is distributedly arranged in a one-to-one correspondence with the wind turbine site selection location of the wind power generation system 1, and the natural environment advantages of the wind power plant are fully utilized for heat dissipation; finally, the intelligent computing center is cooled by the air cooling system and liquid cooling system of the heat dissipation system 4 to improve the heat dissipation efficiency and reduce energy consumption; in addition, the charging and discharging strategy of the energy storage system can be dynamically adjusted according to the wind power generation power and the real-time power demand of the intelligent computing center to ensure the stability of the power supply; at the same time, the intelligent computing center is centrally or decentralizedly scheduled according to the task volume to achieve flexible configuration and efficient utilization of computing resources.

[0042] Example 4 In another preferred embodiment, based on embodiments 1, 2, and 3, Figure 1 and Figure 2 As shown, this embodiment is basically the same as Embodiment 3, but differs in the specific implementation of the energy storage system 2 and the heat dissipation system 4.

[0043] In terms of energy storage system 2, this embodiment adopts a more advanced battery management system, which can monitor the status of the battery pack more accurately and perform more refined charging and discharging control according to the wind power generation power and the power demand of the intelligent computing center, thereby further improving the stability and efficiency of power supply.

[0044] In terms of the heat dissipation system 4, the air cooling system of this embodiment has added an intelligent adjustment function, which can automatically adjust the speed and air intake of the fan wall according to the temperature changes in the computer room and the external environmental conditions to achieve more precise heat dissipation control; at the same time, the liquid cooling system has also been optimized, using a more efficient heat exchanger and a more reasonable cooling water circulation pipeline layout, which further improves the heat dissipation efficiency and reduces energy consumption.

[0045] In addition, this embodiment also takes into account the scalability and flexibility of the intelligent computing center unit; in the distributed intelligent computing center system 3, each intelligent computing center unit adopts a modular design, which can be flexibly expanded and upgraded according to actual needs; at the same time, the intelligent computing center control room also has remote monitoring and management functions, which can realize remote monitoring and management of each intelligent computing center unit, further improving the flexibility and reliability of the system.

[0046] In the preferred scheme, the wind power generation system 1 includes a tower, blades, a hub, a nacelle, a main bearing, a gearbox, a generator and a power supply system, which are used to convert wind energy into electrical energy to provide power support for the intelligent computing center and the energy storage system 2; the siting and layout of the wind turbines take into account the richness of wind energy resources while taking into account the coordination with the intelligent computing center to reduce the power consumption ratio PUE of the intelligent computing center; the above settings also ensure that the efficient operation of the wind power generation system matches the data processing requirements of the intelligent computing center, realizing green and sustainable computing power supply; at the same time, the energy storage system 2 acts as a backup power supply, automatically replenishing electricity when the wind is insufficient, ensuring the continuity and stability of the operation of the intelligent computing center.

[0047] In the preferred scheme, the energy storage system 2 includes a battery pack, a battery management system and an energy storage inverter, which is used to store excess electricity generated by the wind power generation system and release electricity when the wind power generation power is insufficient to ensure the stable operation of the intelligent computing center; the above settings can effectively improve energy utilization and enhance the power supply reliability of the intelligent computing center; at the same time, the intelligent management function of the energy storage system 2 can automatically adjust the charging and discharging strategies according to actual needs to achieve green and efficient energy management.

[0048] In the preferred scheme, the energy storage system 2 dynamically adjusts the charging and discharging strategy according to the wind power generation power and the real-time power demand of the intelligent computing center to ensure the stability of power supply; the above settings not only improve the utilization rate of renewable energy, but also effectively alleviate the power pressure of the intelligent computing center during high-load operation, realize the green and efficient coordination of energy and computing, and provide a solid guarantee for the sustainable development of smart cities.

[0049] In the preferred scheme, the distributed intelligent computing center system 3 includes multiple intelligent computing center units, each of which includes a computer room, a management system, a temperature control system, and a lighting system; the above settings are intended to achieve efficient data processing and computing capabilities; each intelligent computing center unit is connected through a high-speed network to form a powerful computing power cluster, the management system realizes intelligent resource scheduling, and the temperature control and lighting systems ensure a stable and energy-saving operating environment.

[0050] In the preferred scheme, the distributed intelligent computing center system 3 also includes an intelligent computing center control room, which is integrated with the wind power generation control center and managed jointly; the above settings can realize centralized monitoring and efficient scheduling of wind power generation and intelligent computing center operations, ensure a dynamic balance between energy supply and computing needs, and further improve the overall energy efficiency and reliability of the system.

[0051] In the preferred scheme, the heat dissipation system 4 includes an air cooling system and a liquid cooling system. The air cooling system dissipates heat through natural low-temperature wind, and the liquid cooling system uses natural water in the reservoirs on the mountain and below for circulating heat to improve heat dissipation efficiency and reduce energy consumption. The above settings not only make full use of natural resources and achieve the goal of green energy saving, but also significantly improve the stability and reliability of equipment operation, providing a solid guarantee for the long-term and efficient operation of the system.

[0052] In the preferred scheme, the air cooling system includes an air inlet channel, a fresh air fan, an air mixing chamber, a fan wall, an exhaust channel, and an air recovery channel. Natural low-temperature air enters the fresh air fan through the air inlet channel for filtration, and then enters the air mixing chamber to mix with recycled air. The low-temperature air is then introduced into the computer room through the fan wall to take away the heat in the computer room, and then discharged through the exhaust channel or recovered to the air mixing chamber through the recovery channel. The above arrangement effectively utilizes the natural cold source and reduces the energy consumption of air conditioning. At the same time, it realizes air recycling and reuse through the air recovery channel, improves energy utilization efficiency, and ensures that the temperature in the computer room is stable and energy-saving and environmentally friendly.

[0053] In the preferred scheme, the liquid cooling system includes a water reservoir, a cooling tower, a water pump, a heat exchanger and a cooling water circulation pipeline. The water reservoir collects rainwater and spring water, etc. Natural water enters the cooling tower after utilizing the height difference and the natural environment to dissipate heat during the upward flow, and is formed into cold source water after being treated. The cold source water is fully heat-exchanged in the heat exchanger with the cooling water after absorbing heat in the cabinet through the pipeline, and takes away the heat from the computer room. The above arrangement can achieve efficient heat dissipation in the computer room without consuming additional electricity, greatly reducing operating costs. At the same time, the liquid cooling system uses environmentally friendly natural water as the cooling medium, which reduces pollution to the environment and realizes green and energy-saving operation of the computer room.

[0054] In the preferred solution, the intelligent computing center is distributed in the wind farm station and can be centrally or decentralizedly scheduled according to the task volume to achieve flexible configuration and efficient utilization of computing resources. The above settings not only reduce the delay in data transmission, but also make full use of the spatial resources of the wind farm station, forming a green fusion of wind power and intelligent computing, and providing new ideas for the coordinated development of renewable energy and intelligent computing.

[0055] The preferred scheme also includes a step of dynamically adjusting the charging and discharging strategy of the energy storage system 2 according to the wind power generation power and the real-time electricity demand of the intelligent computing center to ensure the stability of the power supply; the above setting can store excess electricity when wind resources are abundant, and release electricity when wind power is insufficient or when electricity consumption is peak, thereby maximizing the utilization of energy, while also ensuring the continuity and reliability of the operation of the intelligent computing center.

[0056] The preferred solution also includes the step of centralized or decentralized scheduling of the intelligent computing center according to the task volume, so as to achieve flexible configuration and efficient utilization of computing resources; the above settings can significantly improve the operating efficiency of the intelligent computing center and meet diverse and large-scale computing needs. At the same time, through intelligent monitoring and dynamic adjustment, it ensures that computing resources are always in the optimal state, providing users with stable and efficient services.

[0057] In summary, the system and method of distributed intelligent computing center and energy consumption control coupled with onshore wind power generation proposed in the present invention successfully solve the technical problems of high energy consumption, low efficiency and waste of resources in the field of heat dissipation of data centers; the present invention proposes for the first time to combine the onshore wind power generation system 1 with the intelligent computing center, and use wind power generation to provide power support for the intelligent computing center, thereby realizing green and sustainable energy utilization; the dynamic charging and discharging strategy of its energy storage system 2, the energy storage system 2 not only stores the excess electric energy generated by wind power generation, but also can dynamically adjust the charging and discharging strategy according to the real-time power demand of the intelligent computing center, Ensure the stability of power supply; the layout of the distributed intelligent computing center system 3, the intelligent computing center unit and the wind turbine site selection location of the wind power generation system 1 are distributedly arranged in a one-to-one correspondence, making full use of the natural environment advantages of the wind power plant for heat dissipation, reducing the power consumption ratio PUE of the intelligent computing center; the present invention creatively combines the air cooling system and the liquid cooling system. The air cooling system uses natural low-temperature wind for heat dissipation, and the liquid cooling system uses natural water in the reservoirs on the mountain and below for circulating heat dissipation, which significantly improves the heat dissipation efficiency and reduces energy consumption; the application of its intelligent scheduling algorithm, the scheme introduces the intelligent scheduling algorithm The method can automatically select the optimal computing nodes and computing resource allocation strategy according to the task type and computing requirements, realizing flexible configuration and efficient utilization of computing resources; the prediction function of the energy consumption monitoring and control system 4, the energy consumption monitoring and control system not only monitors the energy consumption of the intelligent computing center in real time, but also has a prediction function, which can predict future energy consumption trends based on historical energy consumption data and current task volume, and adjust power allocation and computing resource allocation strategies in advance to further optimize energy consumption control; the scheme has shown significant novelty and creativity in the coupling of onshore wind power generation and intelligent computing center, the dynamic charging and discharging strategy of the energy storage system 2, the layout of the distributed intelligent computing center system 3, the combination of the dual cooling system 4, the application of intelligent scheduling algorithms and the prediction function of the energy consumption monitoring and control system; through the coordinated work of the wind power generation system 1, the energy storage system 2, the distributed intelligent computing center system 3 and the cooling system 4, the distributed layout and efficient heat dissipation control of the intelligent computing center are realized, effectively reducing the energy consumption and operating costs of the intelligent computing center; at the same time, the system is also highly flexible and scalable, and can be flexibly adjusted and upgraded according to actual needs, providing a strong guarantee for the efficient operation of the intelligent computing center.

[0058] The present invention proposes an innovative distributed intelligent computing center coupled with onshore wind power generation and energy consumption control system and method, which successfully solves the long-standing technical problems of high energy consumption, low efficiency and resource waste in the field of data center heat dissipation; the solution combines the onshore wind power generation system 1 with the intelligent computing center for the first time, using wind power generation, a green and sustainable energy, to provide power support for the intelligent computing center, realizing a revolutionary change in energy utilization; the energy storage system 2 plays a vital role in the solution, and its dynamic charging and discharging strategy can not only effectively store the excess electricity generated by wind power generation, but also flexibly adjust according to the real-time power demand of the intelligent computing center to ensure the stability of power supply; In terms of layout, the distributed intelligent computing center system 3 corresponds to the wind turbine site selection position of the wind power generation system 1 one by one, realizing a distributed layout and making full use of the natural environment advantages of the wind power generation site for heat dissipation, thereby greatly reducing the power consumption ratio PUE of the intelligent computing center; in addition, the present invention also creatively combines the air cooling system and the liquid cooling system. The air cooling system uses natural low-temperature wind for efficient heat dissipation, while the liquid cooling system cleverly uses the natural water in the reservoirs on the mountain and below for circulating heat dissipation. The combination of the two heat dissipation systems significantly improves the heat dissipation efficiency and further reduces energy consumption; In terms of intelligent scheduling, the solution introduces advanced intelligent scheduling algorithms, which can automatically select the optimal computing nodes and computing resource allocation strategies according to the task type and computing requirements, and realize flexible configuration and efficient utilization of computing resources. At the same time, the energy consumption monitoring and control system 4 not only has the ability to monitor the energy consumption of the intelligent computing center in real time, but also has a powerful prediction function. It can accurately predict future energy consumption trends based on historical energy consumption data and current task volume, and adjust power allocation and computing resource allocation strategies in advance to further optimize energy consumption control; In summary, the scheme has shown remarkable novelty and creativity in the coupling of onshore wind power generation and the intelligent computing center, the dynamic charging and discharging strategy of the energy storage system 2, the layout of the distributed intelligent computing center system 3, the combination of dual heat dissipation systems, the application of intelligent scheduling algorithms, and the prediction function of the energy consumption monitoring and control system 4. Through the coordinated work of the wind power generation system 1, the energy storage system 2, the distributed intelligent computing center system 3 and the heat dissipation system 4, the scheme realizes the distributed layout and efficient heat dissipation control of the intelligent computing center, effectively reducing the energy consumption and operating costs of the intelligent computing center. At the same time, the system is also highly flexible and scalable, and can be flexibly adjusted and upgraded according to actual needs, providing a strong guarantee for the efficient operation and sustainable development of the intelligent computing center.

Claims

1. A system for intelligent computing center distribution and energy consumption control coupled with onshore wind power generation, characterized in that: The system comprises a wind power generation system (1) which provides power support for an intelligent computing center and an energy storage system (2); an energy storage system (2) connected to the wind power generation system (1) which stores excess electric energy generated by the wind power generation system (1) and releases electric energy when the wind power generation power is insufficient, thereby ensuring the stable operation of the intelligent computing center; a distributed intelligent computing center system (3) connected to the wind power generation system (1) which comprises a plurality of intelligent computing center units, each of which is distributedly arranged in correspondence with the wind turbine site of the wind power generation system, and uses the natural environment advantages of the wind power generation site to dissipate heat; the system is also provided with a heat dissipation system (4) which comprises an air cooling system and a liquid cooling system.

2. The system for intelligent computing center distribution and energy consumption control coupled with onshore wind power generation according to claim 1 is characterized by: The wind power generation system (1) includes a tower, blades, a hub, a nacelle, a main bearing, a gearbox, a generator and a power supply system, which are used to convert wind energy into electrical energy to provide power support for the intelligent computing center and the energy storage system (2); the site selection and layout of the wind turbines take into account the richness of wind energy resources while taking into account the coordination with the intelligent computing center to reduce the power consumption ratio PUE of the intelligent computing center.

3. The system for intelligent computing center distribution and energy consumption control coupled with onshore wind power generation according to claim 2 is characterized in that: The energy storage system (2) comprises a battery pack, a battery management system and an energy storage inverter, and is used to store excess electric energy generated by the wind power generation system and release the electric energy when the wind power generation power is insufficient, thereby ensuring the stable operation of the intelligent computing center.

4. The system for intelligent computing center distribution and energy consumption control coupled with onshore wind power generation according to claim 3 is characterized by: The energy storage system (2) dynamically adjusts the charging and discharging strategy according to the wind power generation power and the real-time power demand of the intelligent computing center to ensure the stability of power supply.

5. The system for intelligent computing center distribution and energy consumption control coupled with onshore wind power generation according to claim 4 is characterized in that: The distributed intelligent computing center system (3) comprises a plurality of intelligent computing center units, each of which comprises a computer room, a management system, a temperature control system, and a lighting system.

6. The system for intelligent computing center distribution and energy consumption control coupled with onshore wind power generation according to claim 5 is characterized by: The distributed intelligent computing center system (3) also includes an intelligent computing center control room, which is integrated with the wind power generation control center and jointly managed.

7. The system for intelligent computing center distribution and energy consumption control coupled with onshore wind power generation according to claim 6 is characterized by: The heat dissipation system (4) comprises an air cooling system and a liquid cooling system. The air cooling system dissipates heat through natural low-temperature wind, and the liquid cooling system dissipates heat through circulation using natural water in water reservoirs on or below the mountain, thereby improving heat dissipation efficiency and reducing energy consumption.

8. The system for intelligent computing center distribution and energy consumption control coupled with onshore wind power generation according to claim 7 is characterized by: The air cooling system includes an air inlet channel, a fresh air fan, an air mixing chamber, a fan wall, an exhaust channel, and an air recovery channel. Natural low-temperature air enters the fresh air fan through the air inlet channel for filtration, then enters the air mixing chamber to mix with recycled air, and then passes through the fan wall to introduce the low-temperature air into the computer room, taking away the heat in the computer room, and then is discharged through the exhaust channel or recovered to the air mixing chamber through the recovery channel.

9. The system for intelligent computing center distribution and energy consumption control coupled with onshore wind power generation according to claim 8 is characterized in that: The liquid cooling system includes a water reservoir, a cooling tower, a water pump, a heat exchanger and a cooling water circulation pipeline. The water reservoir collects rainwater and spring water, etc. Natural water uses the height difference and the natural environment to dissipate heat during its upward flow and then enters the cooling tower to form cold source water after being treated. The cold source water is fully heat-exchanged in the heat exchanger with the cooling water that has absorbed heat in the cabinet through the pipeline, thereby taking away the heat from the computer room.

10. A method for controlling energy consumption by using a system of intelligent computing center distribution and energy consumption control coupled with onshore wind power generation, characterized in that: The method comprises the following steps: Step 1: The wind power generation system (1) converts wind energy into electrical energy to provide power support for the intelligent computing center and energy storage system (2); Step 2: Use the energy storage system (2) to store the excess electricity generated by the wind power generation system (1), and release the electricity when the wind power generation power is insufficient to ensure the stable operation of the intelligent computing center; Step 3: Distribute the intelligent computing center and the wind turbine site selection locations of the wind power generation system (1) in a one-to-one correspondence, and make full use of the natural environment advantages of the wind power plant to dissipate heat; Step 4: The intelligent computing center is cooled by the air cooling system and liquid cooling system of the heat dissipation system (4). The air cooling system uses natural low-temperature wind to dissipate heat, and the liquid cooling system uses natural water from the reservoirs on the mountain and below to circulate and dissipate heat, thereby improving heat dissipation efficiency and reducing energy consumption.

11. The method for intelligent computing center distribution and energy consumption control coupled with onshore wind power generation according to claim 10, characterized in that: It also includes the step of dynamically adjusting the charging and discharging strategy of the energy storage system (2) according to the wind power generation power and the real-time power demand of the intelligent computing center to ensure the stability of the power supply.

12. The method for intelligent computing center distribution and energy consumption control coupled with onshore wind power generation according to claim 10, characterized in that: It also includes the steps of centralized or decentralized scheduling of the intelligent computing center according to the task volume, so as to achieve flexible configuration and efficient utilization of computing resources.

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