Immersion liquid cooling data control method and system combining photovoltaic and low-temperature waste heat power generation
By combining photovoltaic and low-temperature waste heat power generation in an immersion liquid cooling data control method, an energy flow self-driven system is established to achieve self-sustainability and high-efficiency energy utilization of the data center cooling system. This solves the problems of energy dependence and insufficient load adaptability in existing technologies and provides an integrated solution for high-density heat dissipation and distributed power generation.
Patent Information
- Application Number
- CN202511234443.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-09-01
- Publication Date
- 2025-11-04
- Estimated Expiration
- 2045-09-01
AI Technical Summary
In existing technologies, data center cooling systems rely on grid power, resulting in low energy efficiency, insufficient load adaptability, separation of cooling and power generation systems, and underutilization of photovoltaic and low-temperature waste heat power generation.
The system adopts a symbiotic energy base to drive dual-path conversion, combined with photovoltaic power to directly supply the cooling system pump group and control unit. Waste heat is used to drive the expansion unit to generate electricity through the gasification of organic working fluid, forming an energy flow self-driven system. The energy path is reconstructed in real time through a mode switcher to achieve zero-intervention steady-state operation.
It achieves self-sustaining energy consumption characteristics of the cooling system, reduces dependence on the external power grid, ensures optimal energy efficiency ratio under different load scenarios, and provides an integrated solution for high-density heat dissipation and distributed power generation.
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Figure CN120730711B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of immersion liquid cooling control technology, and in particular to an immersion liquid cooling data control method and system that combines photovoltaic and low-temperature waste heat power generation. Background Technology
[0002] With the rapid development of information technology, data centers, as information carriers, are increasing in number and expanding in scale, gradually moving towards higher density and higher power. Current research mainly focuses on improving the energy efficiency of the main servers in the racks, while energy consumption optimization for other parts of the data center, such as plate heat exchangers and control and display units (CDUs), is significantly insufficient. Furthermore, during the long-term operation of data centers, the operation of numerous devices often generates substantial waste heat. If this waste heat is not properly handled, it can harm the data center and its surrounding environment, resulting in significant energy losses. While conventional methods of heat recovery for heating contribute to residential heating, they reduce waste heat in data centers but fail to address the energy consumption issues of other parts of the data center.
[0003] Prior art 1, Chinese patent application number 202510047602.0, discloses a two-phase flow immersion liquid-cooled data center cooling system, including data center servers and condensing equipment. Each data center server has a coolant inlet and a coolant outlet, and a coolant return pipe connects the inlet and outlet of the condensing equipment. While the two-phase liquid cooling method for cooling data center servers offers superior heat exchange capacity compared to traditional single-phase and other types of cooling methods—the phase change removes more heat, and the external heat pipes significantly enhance the heat exchange effect, resulting in a stronger heat exchange capacity for the two-phase flow system—adjustable connectors link the servers, ensuring uniform cooling and facilitating maintenance. Movable connectors further optimize maintenance, creating a convenient and flexible system. However, relying solely on two-phase flow liquid cooling to improve heat exchange capacity without incorporating renewable energy sources (such as photovoltaics) and waste heat power generation to optimize the energy structure results in a high dependence on grid power and low energy efficiency.
[0004] Prior art two, Chinese patent application number 202510824230.8, discloses an immersion liquid cooling device, control method, and system. It uses preset sensors to acquire the temperatures at the inlet and outlet of the chip-level evaporator and the chip's highest temperature in real time, determining the correspondence between the inlet / outlet temperature difference and a preset threshold. If the outlet temperature difference is less than the preset threshold, a preset adjustment method is used to control the valve opening of the corresponding pipeline valve to decrease as the outlet temperature difference increases, and the valve opening is determined in real time. When the valve opening reaches its minimum and the outlet temperature is still less than the preset threshold, the target fan speed is determined based on the chip's highest temperature and its heat generation power using a first preset formula. If the outlet temperature difference equals the preset threshold, the target fan speed is determined based on the chip's highest temperature and its heat generation power. While this solves the problem of the lack of a immersion liquid cooling device, control method, and system with a controllable cooling effect and wide applicability in the prior art, it only adjusts the cooling effect through valve opening and fan speed, without considering energy source optimization and lacking load adaptive capability.
[0005] Prior art three, Chinese patent application number 202510192230.0, discloses a smart computing immersion precision liquid cooling device and control method for waste heat cascade recovery. It includes: a cabinet, the cabinet containing a cooling enclosure, a computing chip, and a server motherboard, with the computing chip fixedly connected to the surface of the server motherboard; a first circulation system for removing waste heat from components on the server other than the computing chip; a second circulation system for removing waste heat from the computing chip; a first waste heat recovery system for recovering waste heat from components other than the computing chip; and a second waste heat recovery system for recovering waste heat from the computing chip. Although by monitoring the temperature of each server motherboard and each computing chip within the cabinet, adjusting the opening of the main pipe valve and branch pipe valves, and combining two sets of coolant circulation systems to provide coolant to each server motherboard and each computing chip, achieving precise cooling of the liquid-cooled cabinet, it only provides cascade cooling for different server components, does not fully utilize waste heat for power generation to supplement system energy consumption, and lacks integration of photovoltaic energy.
[0006] Current technologies 1, 2, and 3 suffer from problems such as energy dependence, low energy utilization efficiency, insufficient load adaptability, and separation of cooling and power generation systems. Therefore, this invention provides an immersion liquid cooling data control method and system that combines photovoltaic and low-temperature waste heat power generation. Summary of the Invention
[0007] To achieve the above objectives, the present invention adopts the following technical solution:
[0008] One aspect of the present invention provides an immersion liquid cooling data control method combining photovoltaic and low-temperature waste heat power generation, comprising the following steps:
[0009] The symbiotic energy base drives a dual-path conversion, with photovoltaic power directly supplying the cooling system pumps and control units to maintain liquid cooling circulation; waste heat is used to drive the expander unit to generate electricity through the gasification of organic working fluid, supplementing the energy consumption of the cooling system and forming a self-driven energy flow system.
[0010] The core of the energy flow self-driven system is to input and control operating parameters. Based on the load status and photovoltaic output, it dynamically executes a three-state strategy: high load linkage with grid peak shaving, medium load solar thermal self-complementary, and low load independent photovoltaic support. The energy path is reconstructed in real time through a mode switcher to achieve zero-intervention steady-state operation.
[0011] In one alternative implementation, the process of forming a self-driven energy flow system includes the following steps:
[0012] The thermal parameters in the symbiotic energy substrate are input into the waste heat recovery device, which induces the organic working fluid molecules to generate an axial kinetic energy gradient in the evaporator, causing the molecules to aggregate in an orderly manner along a preset direction.
[0013] Axial kinetic energy gradient drives the working fluid gasification flow to impact the turbine blades. The nanogroove structure on the blade surface converts molecular kinetic energy into continuous angular momentum, and its torque value matches the power demand of the cooling system pump group in real time.
[0014] The expansion machine output shaft is embedded with a permanent magnet vortex ring. The continuous angular momentum cuts the closed magnetic circuit to generate an induced current. After the phase of the induced current is optimized by the winding topology, it directly outputs an isentropic electrical energy pulse, which is seamlessly connected to the power supply bus of the cooling system.
[0015] In one alternative implementation, the process of reconstructing the energy path in real time via a mode switch includes the following steps:
[0016] The junction temperature gradient of the server chip and the carrier mobility of the photovoltaic cell are interlocked through the semiconductor lattice resonance effect, forming a dynamic load light intensity characteristic surface.
[0017] The dynamic load light intensity characteristic surface excites the magnetic domain flipping behavior through the gap magnetic field of the permanent magnet vortex ring. Its flipping mode corresponds to the load state, generating non-volatile topology commands.
[0018] High load state: Magnetic domain multi-pole flipping triggers grid interface lattice resonance; Medium load state: Magnetic domain bi-pole flipping activates the photovoltaic-thermal complementary channel; Low load state: Magnetic domain uni-pole flipping closes the photovoltaic direct-through loop.
[0019] In the non-volatile topology command-driven mode switcher, the ferroelectric phase change material undergoes lattice recombination, and its conductivity distribution is reconstructed into three conduction modes according to the command, forming a zero-delay energy topology.
[0020] High load: Low resistance path of grid-cooling bus; Medium load: Parallel path of photovoltaic-waste heat; Low load: DC path of photovoltaic.
[0021] In one optional implementation, the process of reconstructing the conductivity distribution into three conduction modes according to instructions includes the following steps:
[0022] The magnetic field configuration of the non-volatile topological command acts on the oxygen octahedral rotation system of the ferroelectric phase transition material, locking the cation displacement vector of a specific crystal plane with the magnetic moment direction, forming a lattice-magnetic moment coherent interface.
[0023] The lattice-magnetic moment coherent interface triggers the directional migration of oxygen ion vacancies along the crystallographic slip plane, generating a cation threshold conductivity array;
[0024] High load instruction: Vacancies accumulate in the crystal direction to form a three-dimensional conductive network; Medium load instruction: Vacancies construct dual pathways along the crystal direction; Low load instruction: Vacancies construct a single channel in the crystal direction;
[0025] The spin electron cloud of the cation threshold conductive array covers the material surface, and its Fermi level recess depth automatically matches the impedance requirements of the target conduction mode, realizing a lattice-level energy topology.
[0026] In one alternative implementation, the process of generating a cation threshold conductive array includes the following steps:
[0027] The lattice-magnetic moment coherent interface produces pseudocubic unit cell distortion, and the lattice constant of a specific slip plane is asymmetrically stretched, forming a vacancy migration barrier gradient.
[0028] The vacancy migration barrier gradient triggers the directional diffusion of oxygen ions along the direction of decreasing barrier, the crystal direction barrier difference induces the diffusion of vacancy bodies, the crystal direction barrier difference drives the diffusion of vacancy planes, and the crystal direction barrier difference constrains the diffusion of vacancy lines; when the local vacancy concentration exceeds the lattice doping threshold, it triggers the splitting of cation spin states.
[0029] Spin-state split cations form localized d-electron orbital overlaps at grain boundaries, and the split-state electron cloud constructs along the diffusion path: a three-dimensional network, a dual-path matrix, and a single-row chain structure, generating a long-range ordered conductive array.
[0030] In one alternative implementation, the process of constructing a split-state electron cloud along a diffusion path includes the following steps:
[0031] The crystal field stability energy of the spin-splitter cation is compressed by lattice distortion, leading to energy level splitting of the fivefold degenerate d electron orbitals;
[0032] Energy level splitting triggers the reconstruction of the split-state electronic wavefunction at the grain boundary. The dz² orbital electron cloud extends conically along the bulk diagonal and penetrates adjacent cells to form a three-dimensional electron tunneling network.
[0033] A three-dimensional electron tunneling network, a dual-path conductive matrix, and a single-row quantum wire chain respectively capture lattice vibration phonons of the corresponding crystal orientation. The conductive path is locked in the three-dimensional network to carry a milliohm-level resistance through phonon-electron coupling. The dual-path maintains a hundred-millihm impedance, and the single-row chain exhibits a thousand-ohm resistance, thus completing the cation threshold conductive array.
[0034] In one alternative implementation, the process of locking the conductive path via phonon-electron coupling includes the following steps:
[0035] The three-dimensional structure of the electron tunneling network captures the atomic expansion and contraction vibrations of the crystal orientation, the planar structure of the dual-path conductive matrix adsorbs the interlayer slip vibrations of the crystal orientation, and the linear structure of the single-row quantum wire chain fixes the axial stretching vibrations of the crystal orientation, forming phonon energy bound states.
[0036] Phonon energy-bound states force the reconstruction of the trajectory of free electrons. In a three-dimensional network, electrons gain full spatial degrees of freedom. In a dual-path matrix, electrons are confined to a two-dimensional plane. In a single-row chain, electrons move directionally along a single axis, generating a dimensionally confined electron group.
[0037] The dimensional confined electron group, through lattice coupling, forms an ultra-low resistance channel through the cooperative motion of three-dimensional free electrons. The collision loss of two-dimensional planar electrons maintains the median impedance, and the one-dimensional directional electron path constraint induces high resistance characteristics, thus completing a permanently stable conductive array.
[0038] In one alternative implementation, the process of dimensionally confined electron groups through lattice coupling includes the following steps:
[0039] The full-space motion trajectory of the three-dimensional free electron group excites synchronous fluctuations of the lattice atomic nuclei, causing coherent displacement fields to be generated at the corner atoms of the cubic unit cell, and the potential well depth is reduced to the order of electron de Broglie wavelength.
[0040] The coherent displacement field forms a potential energy platform in the three-dimensional network region, and the phase of free electrons remains continuous as they cross the potential barrier; the restricted motion of the two-dimensional planar electron group triggers asymmetric oscillations of crystal plane atoms, generating an interleaved potential barrier array; the motion axis of the one-dimensional directional electron group is strongly coupled with the lattice atomic nuclei, generating a multi-barrier chain.
[0041] The potential field reconstruction system achieves global coherence of the electron wave function through the conservation of nuclear-electron angular momentum and a three-dimensional potential energy platform, forming a Bose condensation superfluid channel. A two-dimensional staggered barrier array induces partial electron tunneling, maintaining the balance of charge carrier collision dissipation. A one-dimensional barrier chain constrains the localized transition of electrons, realizing single-path quantum blocking and completing the dimension-solidified resistor array.
[0042] In one alternative implementation, the low-temperature waste heat generated by the server operation is transferred to the liquid cooling circulation system, and the photovoltaic modules simultaneously capture solar radiation energy to form the basic energy input and generate a symbiotic energy base.
[0043] Another aspect of the present invention provides an immersion liquid cooling data control system that combines photovoltaic and low-temperature waste heat power generation, implementing the aforementioned immersion liquid cooling data control method that combines photovoltaic and low-temperature waste heat power generation, comprising: a liquid cooling cabinet, a CDU control unit, a PLC controller, a solar panel, a photovoltaic cell, a light intensity sensor, a waste heat recovery device, a mode switch, a water pump, a fan, a dry condenser, an oil pump, a circuit switch, an evaporator, a condenser, an expander, a generator, and a working fluid pump;
[0044] The liquid-cooled cabinet has a coolant outlet at the upper right end connected to the CDU control unit via a pipe. The CDU control unit is connected to the PLC controller via a circuit. Solar panels are mounted on photovoltaic cells, which are connected to the CDU control unit, PLC controller, mode switcher, water pump, and dry condenser. A light intensity sensor is mounted on one side of the photovoltaic cells and connected to the PLC controller. A waste heat recovery device is connected to the dry condenser and CDU control unit via a pipe. The mode switcher is mounted on top of the waste heat recovery device and connected to the PLC controller. The water pump is connected to the CDU control unit and the coolant inlet at the lower left end of the liquid-cooled cabinet via a pipe. A fan is mounted on top of the dry condenser. An oil pump is connected to the outlet of the dry condenser and the evaporator via a pipe. One end of a circuit switch is connected to the water pump, and the other end is connected to the waste heat recovery device. The evaporator is connected to one end of the expander and one end of the working fluid pump via a pipe. The other end of the expander is connected to one end of the condenser, and the other end of the condenser is connected to the other end of the working fluid pump. The expander is connected to the generator.
[0045] This invention establishes a photovoltaic-waste heat hybrid energy supply system, breaking through the stability bottleneck of single energy supply; achieves self-sustaining characteristics of cooling system energy consumption, reducing dependence on external power grid; ensures optimal energy efficiency ratio under different load scenarios through multi-modal control strategy; completes fully automatic closed-loop management from energy capture to utilization; and provides an integrated solution for high-density heat dissipation and distributed power generation suitable for data centers. Attached Figure Description
[0046] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:
[0047] Figure 1 This is a flowchart of the immersion liquid cooling data control method combining photovoltaic and low-temperature waste heat power generation provided in Embodiment 1 of the present invention;
[0048] Figure 2 This is a schematic diagram of the immersion liquid cooling data control method combining photovoltaic and low-temperature waste heat power generation provided in Embodiment 2 of the present invention.
[0049] Figure 3 This is a process diagram of generating a symbiotic energy substrate provided in Embodiment 3 of the present invention;
[0050] Figure 4 This is a process diagram of forming a self-driven energy flow system provided in Embodiment 4 of the present invention;
[0051] Figure 5 This is a process diagram of real-time energy path reconstruction via a mode switch provided in Embodiment 7 of the present invention;
[0052] Figure 6 This is a block diagram of the immersion liquid cooling data control system combining photovoltaic and low-temperature waste heat power generation provided in Embodiment 13 of the present invention;
[0053] Figure 7 This is a schematic diagram of the waste heat recovery device in Embodiment 13 of the present invention;
[0054] Figure 8 A block diagram of the electronic device provided by the present invention;
[0055] Figure 9 A block diagram of a computer-readable storage medium provided for this invention;
[0056] Reference numerals: 1. Liquid-cooled cabinet; 2. CDU control unit; 3. PLC controller; 4. Solar panel; 5. Photovoltaic cell; 6. Light intensity sensor; 7. Waste heat recovery device; 8. Mode switch; 9. Water pump; 10. Fan; 11. Dry condenser; 12. Oil pump; 13. Circuit switch; 14. Evaporator; 15. Condenser; 16. Expander; 17. Generator; 18. Working fluid pump; 19. Central processing unit / microprocessor / main control chip; 20. Storage medium; 21. Data bus; 22. Input / output bus / external bus / device bus; 23. Display; 24. Input / output device; 25. Computer-readable instructions; 26. Non-transitory computer-readable storage medium. Detailed Implementation
[0057] The technical solutions of the present invention will now be described with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.
[0058] Hereinafter, the terms "first," "second," etc., are used for descriptive convenience only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined with "first," "second," etc., may explicitly or implicitly include one or more of that feature. In the description of this invention, unless otherwise stated, "a plurality of" means two or more.
[0059] In this invention, unless otherwise explicitly specified and limited, the term "connection" should be interpreted broadly. For example, "connection" can be a fixed mechanical connection, a detachable mechanical connection, or an integral part; or, "connection" can be a direct connection or an indirect connection through an intermediate medium. Furthermore, unless otherwise explicitly specified and limited, the term "coupling" should be interpreted broadly. For example, "coupling" can be a direct electrical connection, such as physical contact and electrical conduction between two components; it can also be understood as an electrical connection between different components in a circuit structure through physical lines capable of transmitting electrical signals, such as copper foil or wires on a printed circuit board (PCB), to transmit electrical signals; or, "coupling" can be an indirect electrical connection between two components through an intermediate medium; or, "coupling" can be an electrical connection between two components in a non-contact manner, such as an electrical connection between two components using capacitive coupling to transmit electrical signals.
[0060] In this embodiment of the invention, directional terms such as "up," "down," "left," and "right" may be defined relative to the orientation of the components shown in the accompanying drawings. It should be understood that these directional terms can be relative concepts, used for relative description and clarification, and can change accordingly depending on the orientation of the components in the accompanying drawings.
[0061] Example 1: As Figure 1 As shown, this embodiment of the invention provides an immersion liquid cooling data control method combining photovoltaic and low-temperature waste heat power generation, comprising the following steps:
[0062] Step S100: The low-temperature waste heat generated by the server operation is transferred to the liquid cooling circulation system, and the photovoltaic modules capture solar radiation energy to form the basic energy input and generate a symbiotic energy base.
[0063] Step S200: The symbiotic energy base drives the dual-path conversion, and the photovoltaic power directly supplies the cooling system pump group and control unit to maintain the liquid cooling cycle; the waste heat drives the expander unit to generate electricity through the gasification of organic working fluid, which supplements the energy consumption of the cooling system and forms a self-driven energy flow system.
[0064] Step S300: Input the operating parameters of the energy flow self-driven system into the control core, and dynamically execute the three-state strategy based on the load status and photovoltaic output: high load linkage with grid peak shaving, medium load solar thermal self-complementary, and low load photovoltaic independent support; and reconstruct the energy path in real time through the mode switcher to achieve zero-intervention steady-state operation.
[0065] In the above embodiments, this embodiment establishes a dual-energy input architecture of photovoltaic power generation and server waste heat. The photovoltaic modules and the liquid cooling circulation system form a thermal-electric coupling interface, and the energy base has the ability to buffer instantaneous fluctuations. It realizes the parallel processing of direct power drive and heat-power conversion. Photovoltaic power prioritizes the basic power consumption of the liquid cooling system, and waste heat power generation dynamically compensates for the additional energy consumption of the system, forming a closed-loop energy recovery link. It constructs a three-modal operation strategy decision tree, seamlessly switches between the grid, photovoltaic and waste heat sources, dynamically reconstructs the load-aware energy path, and eliminates the system operation mode switching delay.
[0066] In summary, please refer to the appendix for the specific principles. Figure 2 This embodiment establishes a photovoltaic-waste heat hybrid energy supply system, breaking through the stability bottleneck of single energy supply; achieving self-sustaining energy consumption characteristics of the cooling system and reducing dependence on the external power grid; ensuring optimal energy efficiency ratio under different load scenarios through multi-modal control strategies; completing fully automatic closed-loop management from energy capture to utilization; and providing an integrated solution for high-density heat dissipation and distributed power generation suitable for data centers. This embodiment combines conventional power grid, photovoltaic power generation, and low-temperature waste heat recovery technology (organic Rankine cycle) to achieve uninterrupted power supply to the CDU control unit, reducing the basic power consumption of the CDU control unit and plate heat exchanger. Furthermore, compared to existing liquid-cooled server systems, this invention solves the energy consumption problem of the control unit in the system and reduces the outlet liquid temperature of the plate heat exchanger by utilizing waste heat recovery, indirectly reducing the heat dissipation burden and power consumption of the dry condenser in the system, further alleviating energy waste caused by other modules in the system besides the server, and causing the PUE of the single-phase immersion liquid cooling system to continuously approach 1. This embodiment utilizes a solar panel installed on the CDU control unit for auxiliary power supply and simultaneously constructs a waste heat recovery module based on the organic Rankine cycle. The two are combined through automatic control by a PLC controller to form a new type of green energy data center system, which not only achieves waste heat recovery but also reduces the energy consumption of the CDU control unit and heat exchanger.
[0067] Example 2: Figure 3 As shown, based on Example 1, the process of generating the symbiotic energy substrate in step S100 of this embodiment of the invention includes the following steps:
[0068] Step S101: The waste heat generated by the server chips in the liquid-cooled cabinet is absorbed by the dielectric fluid. The waste heat flows through the surface of the server's heat-generating element in a closed loop, forming a directional heat conduction path.
[0069] Step S102: A microchannel heat exchange layer is integrated into the backsheet of the photovoltaic cell. When the dielectric fluid flows through this layer, a dual effect occurs: the operating temperature of the photovoltaic cell is reduced, the photoelectric conversion efficiency decay is suppressed, and the metal substrate that absorbs the heat of the fluid generates a thermally induced carrier migration enhancement effect.
[0070] Step S103: The DC power output from the photovoltaic cell and the temperature parameters of the microchannel heat exchange layer are input into the energy management core. The electrical parameters and thermal parameters are encoded into a unified energy equivalent through a thermoelectric coupling algorithm to generate a quantifiable and schedulable symbiotic energy base.
[0071] In the above embodiments, this embodiment uses a microchannel design on the photovoltaic cell backsheet to enable waste heat conduction and photoelectric conversion to occur synchronously in the same physical space; the thermoelectric coupling algorithm quantifies thermal parameters (°C·L / min) and electrical parameters (V / A) into a unified standard energy unit (kW·h); the value of the symbiotic energy substrate is automatically adjusted according to the server load rate and light intensity, providing a real-time driving benchmark; this embodiment abandons the traditional mode of independently setting up waste heat recovery devices and photovoltaic arrays, realizing an energy fusion technology chain of waste heat conduction, thermo-electric coupling enhancement, and energy substrate encoding, so that the energy flow self-driven system in subsequent steps directly inherits the dynamic characteristics of the substrate.
[0072] Example 3: Based on Example 2, the process of encoding electrical energy parameters and thermal parameters into a unified energy equivalent using a thermoelectric coupling algorithm in step S103 of this embodiment includes the following steps:
[0073] Step S1031: The heat flow rate of the metal substrate of the microchannel heat exchange layer and the carrier mobility at the output end of the photovoltaic cell generate mutual interference through the semiconductor band overlap effect, forming a thermo-electric intermodulation function;
[0074] Step S1032: The thermal-electric intermodulation function drives the lattice vibration relaxation program in the energy management core, quantizes the heat flow rate into the equivalent carrier excitation potential, and simultaneously inverts the carrier mobility into the thermal conduction quantum number, generating a dual-parameter fused energy scale;
[0075] Step S1033: The dual-parameter fused energy scale is processed by non-steady-state Fourier constraint to eliminate the spectral conflict between photovoltaic intermittency and waste heat pulsation, and outputs a standard energy equivalent sequence with spatiotemporal continuity, i.e., the symbiotic energy base.
[0076] In the above embodiments, this embodiment achieves autonomous coupling at the physical level, utilizing the semiconductor band overlap effect to realize intrinsic mutual interference of thermal / electrical parameters, replacing traditional mathematical modeling; quantized energy mapping: macroscopic parameters are transformed into quantum-level energy scales through a lattice vibration relaxation model; spectral conflict resolution: non-steady-state Fourier constraint processing eliminates differences in energy forms, generating a homogeneous substrate. The entire process relies on the intrinsic physical properties of the material, band overlap / lattice vibration / quantum conduction, completely avoiding external control algorithms, providing an indivisible physical benchmark for subsequent energy self-driving.
[0077] Example 4: Figure 4As shown, based on Example 1, the process of forming a self-driven energy flow system in step S200 of this embodiment of the invention includes the following steps:
[0078] Step S201: The thermal parameters in the symbiotic energy substrate are input into the waste heat recovery device to induce an axial kinetic energy gradient in the organic working fluid molecules in the evaporator, so that the molecules gather in an orderly manner along the preset direction.
[0079] Step S202: The axial kinetic energy gradient drives the working fluid gasification flow to impact the turbine blades. The nanogroove structure on the blade surface converts molecular kinetic energy into continuous angular momentum, and its torque value matches the power demand of the cooling system pump group in real time.
[0080] Step S203: The expansion machine output shaft is embedded with a permanent magnet vortex ring. The continuous angular momentum cuts the closed magnetic circuit to generate an induced current. After the phase of the induced current is optimized by the winding topology, it directly outputs an isentropic electrical energy pulse, which is seamlessly connected to the power supply bus of the cooling system.
[0081] In the above embodiments, this embodiment achieves molecular-level energy guidance, directly controlling the direction of motion of working fluid molecules through thermal parameters, replacing traditional heat exchangers; nanostructure kinetic energy conversion, turbine blade groove design converts molecular collisions into lossless angular momentum; isentropic electric direct drive electromagnetic induction phase dynamically matches the cooling load, eliminating the converter link; making waste heat power generation a self-powered organ of the cooling system, completely avoiding independent components such as working fluid pumps and condensers, and realizing true energy self-circulation.
[0082] Example 5: Based on Example 4, the process of directly outputting isentropic electrical energy pulses after winding topology optimization in step S203 of this embodiment includes the following steps:
[0083] Step S2031: The continuous angular momentum drives the permanent magnet vortex ring to periodically cut the conductor array. The spontaneous magnetization direction of the rare earth magnets in the permanent magnet vortex ring forms a fixed tilt angle with the plane of angular momentum rotation, generating a spacetime aligned alternating magnetic flux.
[0084] Step S2032: The spatial distribution of the conductor array is optimized based on the impedance spectrum of the cooling system. Alternating magnetic flux excites free electrons to tunnel in a specific topological position, forming a phase-locked induced current group.
[0085] Step S2033: The phase-locked induced current group is transmitted through the magnetoresistive confinement channel. The carbon lattice on the inner wall of the channel filters out the random thermal motion component of the charge carriers and outputs a steady-state electrical energy pulse sequence with zero entropy increase characteristics.
[0086] In the above embodiments, the magneto-mechanical self-alignment mechanism of this embodiment utilizes the fixed tilt angle between the spontaneous magnetization direction of the permanent magnet and the mechanical rotation to replace the traditional commutator; quantum tunneling current conduction guides free electrons to tunnel through by optimizing the conductor topology, circumventing the constraints of the law of electromagnetic induction; entropy-controlled electrical energy is synthesized into a carbon lattice to filter out carrier thermal noise, so that the output electrical energy satisfies the thermodynamic isentropic condition. The entire process relies on the intrinsic properties of the material, spontaneous magnetization / quantum tunneling / lattice screening, to achieve in-situ conversion of mechanical energy to electrical energy, and its output is directly compatible with the spectrum characteristics of the cooling system power supply bus.
[0087] Example 6: Based on Example 5, the process of forming a phase-locked induced current group in step S2032 provided in this embodiment of the invention includes the following steps:
[0088] Step S20321: The real-time impedance spectrum of the cooling system is analyzed by the Fermi level gradient of the conductor material to form a spatially modulated barrier thickness distribution on the array surface, and the peak or trough position of the barrier corresponds strictly to the impedance extreme point.
[0089] Step S20322: The spatiotemporally aligned alternating magnetic flux penetrates the potential barrier thickness distribution region, inducing electron cloud band collapse at a specific potential barrier trough, generating a self-sustaining quantum tunneling channel.
[0090] Step S20323: The self-sustaining quantum tunneling channel captures the phase information of the alternating magnetic flux, constrains free electrons to move coherently along the direction of the maximum rate of change of magnetic flux, and outputs a set of charge carriers with synchronized wave functions.
[0091] In the above embodiments, the impedance physical transformation of this embodiment is as follows: the circuit impedance is transformed into the geometric distribution of the potential barrier on the conductor surface through the Fermi level gradient; the magnetically controlled quantum channel is formed by alternating magnetic flux inducing band collapse at the weak points of the potential barrier, creating a tunneling path without external excitation; and the wave function current-carrying synchronization is achieved by the automatic phase coupling of the electronic quantum state and the magnetic field, circumventing the traditional electromagnetic induction mechanism. Relying on quantum-scale physical effects, the Fermi level response, band collapse, and wave function coherence bind current generation and the energy consumption requirements of the cooling system at an atomic level.
[0092] Example 7: As Figure 5 As shown, based on Embodiment 1, the process of real-time reconstructing the energy path through a mode switch in step S300 of this embodiment of the invention includes the following steps:
[0093] Step S301: The junction temperature gradient of the server chip and the carrier mobility of the photovoltaic cell are interlocked through the semiconductor lattice resonance effect, forming a dynamic load light intensity characteristic surface.
[0094] Step S302: The dynamic load light intensity characteristic surface excites the magnetic domain flipping behavior through the gap magnetic field of the permanent magnet vortex ring. Its flipping mode corresponds to the load state, generating non-volatile topology commands.
[0095] High load state: Magnetic domain multi-pole flipping triggers grid interface lattice resonance; Medium load state: Magnetic domain bi-pole flipping activates the photovoltaic-thermal complementary channel; Low load state: Magnetic domain uni-pole flipping closes the photovoltaic direct-through loop.
[0096] Step S303: The ferroelectric phase change material of the non-volatile topology command-driven mode switch undergoes lattice recombination, and its conductivity distribution is reconstructed into three conduction modes according to the command, forming a zero-delay energy topology;
[0097] High load: Low resistance path of grid-cooling bus; Medium load: Parallel path of photovoltaic-waste heat; Low load: DC path of photovoltaic.
[0098] In the above embodiments, the physical quantities are directly decided: the decision surface is generated by the intrinsic coupling of junction temperature and carrier mobility, replacing the software algorithm; magnetic domain flipping encoding: the gap field of permanent magnet vortex ring discretizes the continuous characteristic quantities into three-state magnetic commands; lattice-level path reconstruction: the ferroelectric material lattice reorganizes the conductive network according to the magnetic commands to achieve zero-power switching; the execution of the three-state strategy becomes the intrinsic response of the material, completely avoiding program control and power electronic switching, and realizing true zero-intervention steady-state operation.
[0099] Example 8: Based on Example 7, the process of reconstructing the conductivity distribution into three conduction modes according to instructions in step S303 of this embodiment includes the following steps:
[0100] Step S3031: The magnetic field configuration of the non-volatile topological command acts on the oxygen octahedral rotation system of the ferroelectric phase transition material, locking the cation displacement vector of a specific crystal plane with the magnetic moment direction, forming a lattice-magnetic moment coherent interface;
[0101] Step S3032: The lattice-magnetic moment coherent interface triggers the directional migration of oxygen ion vacancies along the crystallographic slip plane, generating a cation threshold conductivity array;
[0102] High load instruction: Vacancies accumulate in the crystal direction to form a three-dimensional conductive network; Medium load instruction: Vacancies construct dual pathways along the crystal direction; Low load instruction: Vacancies construct a single channel in the crystal direction;
[0103] Step S3033: The spin electron cloud of the cation threshold conductive array covers the material surface, and its Fermi level recess depth automatically matches the impedance requirements of the target conduction mode to realize lattice-level energy topology.
[0104] In the above embodiments, this embodiment achieves magnetoelectric atomic-level coupling: the magnetic field command is converted into lattice displacement using the oxygen octahedral rotation system; crystallographic pathway self-organization: the migration of vacancies in different crystal orientations automatically constructs three-dimensional / two-dimensional / one-dimensional conductive paths; quantum confined conduction: spin electron cloud coverage enables adaptive control of the Fermi level; the reconstruction of the three conduction modes becomes a single crystal phase transition process, completely eliminating the mechanical action of traditional relays and the carrier migration delay of semiconductor switches.
[0105] Example 9: Based on Example 8, the process of generating the cation threshold conductive array in step S3032 of this embodiment of the invention includes the following steps:
[0106] Step S30321: Pseudocubic cell distortion is generated at the lattice-magnetic moment coherent interface, and the lattice constant of a specific slip plane is asymmetrically stretched, forming a vacancy migration barrier gradient.
[0107] Step S30322: The vacancy migration barrier gradient triggers oxygen ions to diffuse in a directional manner along the direction of decreasing barrier, the crystal direction barrier difference induces vacancy volume diffusion, the crystal direction barrier difference drives vacancy surface diffusion, and the crystal direction barrier difference constrains vacancy line diffusion; when the local vacancy concentration exceeds the lattice doping threshold, it triggers cation spin state splitting.
[0108] Step S30323: Spin-state split cations form localized d-electron orbital overlaps at grain boundaries, and the split-state electron cloud constructs a three-dimensional network, a dual-path matrix, and a single-row chain structure along the diffusion path, generating a long-range ordered conductive array.
[0109] In the above embodiments, this embodiment achieves strain barrier driving: using the stress field generated by lattice distortion to replace the electric field / concentration gradient driving; spin state conduction conversion: vacancy concentration triggers the splitting of cation electronic states, making the insulator-conductor transition an intrinsic response; orbital topology self-organization: the overlapping mode of d electron orbitals automatically matches the crystal orientation dimension, forming an atomically precise conduction path; making the reconstruction of the three conduction modes completely avoid external excitation, becoming the self-organization behavior of the material under magnetic-crystal coupling.
[0110] Example 10: Based on Example 9, the process of constructing the split-state electron cloud along the diffusion path in step S30323 of this embodiment of the invention includes the following steps:
[0111] Step S303231: The crystal field stabilization energy of the spin-state split cation is compressed by lattice distortion, resulting in the energy level splitting of the fivefold degenerate d electron orbitals; Crystal orientation: dz² orbital energy level collapse; Crystal orientation: dx²-y² orbital band broadening; Crystal orientation: dxy orbital band gap closure;
[0112] Step S303232: Energy level cross-splitting triggers the reconstruction of the split state electronic wave function at the grain boundary. The dz² orbital electron cloud extends conically along the bulk diagonal direction, penetrating adjacent cells to form a three-dimensional electron tunneling network. The dx²-y² orbital electron cloud extends on the crystal plane, constructing a dual-path conduction matrix. The dxy orbital electron cloud focuses linearly along the crystal axis direction, generating a single-row quantum wire chain.
[0113] Step S303233: The three-dimensional electron tunneling network, the dual-path conductive matrix, and the single-row quantum wire chain respectively capture the lattice vibration phonons of the corresponding crystal orientation. The conductive path is locked in the three-dimensional network to carry a milliohm level resistance through phonon-electron coupling. The dual-path maintains a hundred milliohm impedance, and the single-row chain presents a thousand ohm level resistance, thus completing the cation threshold conductive array.
[0114] In the above embodiments, the stress-controlled quantum orbits of this embodiment are as follows: lattice distortion directly compresses the spatial distribution of d-electron orbits, replacing external field control; wave function geometric self-organization: the electron cloud automatically extends into a conical / planar / linear topology, inheriting crystal orientation constraints; phonon-frozen conductive paths: lattice vibration quantum permanently locks the resistance characteristics of the conductive network; making the conductive array a physical entity with lattice-electron-phonon tri-quantum coupling, whose conductive dimension and resistance characteristics are irreversibly determined by the initial magnetic command.
[0115] Example 11: Based on Example 10, the process of locking the conductive path through phonon-electron coupling in step S303233 of this embodiment of the invention includes the following steps:
[0116] Step S3032331: The three-dimensional structure of the three-dimensional electron tunneling network captures the atomic expansion and contraction vibrations of the crystal orientation, the planar structure of the dual-path conductivity matrix adsorbs the interlayer slip vibrations of the crystal orientation, and the linear structure of the single-row quantum wire chain fixes the axial stretching vibrations of the crystal orientation, forming phonon energy bound states.
[0117] Step S3032332: Phonon energy-bound states force the free electrons to reconstruct their trajectories. Electrons in the three-dimensional network gain full spatial degrees of freedom. Electrons in the dual-path matrix are confined to the two-dimensional plane. Electrons in the single-row chain move directionally along a single axis, generating a dimensionally confined electron group.
[0118] Step S3032333: The dimensional confined electron group forms an ultra-low resistance channel through lattice coupling, and the three-dimensional free electrons move in concert. The collision loss of two-dimensional planar electrons maintains the median impedance, and the one-dimensional directional electron path constraint induces high resistance characteristics, thus completing a permanently stable conductive array.
[0119] In the above embodiments, this embodiment achieves vibrational energy locking, allowing conductive structures of different dimensions to autonomously select matching lattice vibration modes; motion dimension inheritance, with electron movement strictly following the spatial characteristics of the conductive structure; and intrinsic resistance solidification, where the resistance value is inherently determined by the electron motion dimension and is independent of the environment. This makes the resistance values of the three conductive paths permanent intrinsic properties of the material under magnetic command control, achieving zero-drift energy path reconstruction.
[0120] Example 12: Based on Example 11, the process of dimensional confined electron groups operating through lattice coupling in step S3032333 of this embodiment of the invention includes the following steps:
[0121] Step S30323331: The full-space motion trajectory of the three-dimensional free electron group excites the synchronous fluctuation of the lattice atomic nuclei, causing the corner atoms of the cubic unit cell to generate a coherent displacement field, and the potential well depth is reduced to the order of electron de Broglie wavelength.
[0122] Step S30323332: The coherent displacement field forms a potential energy platform in the three-dimensional network region, and the phase of free electrons remains continuous as they cross the potential barrier; the restricted motion of the two-dimensional planar electron group triggers asymmetric oscillations of crystal plane atoms, generating an interleaved potential barrier array; the motion axis of the one-dimensional directional electron group is strongly coupled with the lattice atomic nuclei, generating a multi-barrier chain.
[0123] Step S30323333: The potential field reconstruction system achieves global coherence of the electron wave function through the conservation of nuclear-electron angular momentum and the three-dimensional potential energy platform, forming a Bose condensation superfluid channel; the two-dimensional staggered barrier array induces partial electron tunneling, maintaining the balance of charge carrier collision dissipation; the one-dimensional barrier chain constrains the localized transition of electrons, realizing single-path quantum blocking and completing the dimension-solidified resistor array.
[0124] In the above embodiments, the nuclear-electron motion is coordinated, and the electron motion mode directly drives the displacement of the lattice atomic nuclei; the potential field dimension is adaptive, and the barrier structure automatically matches the electron group motion dimension; quantum transport is intrinsically determined: the resistance characteristics are determined by the coupling nature of the potential field and wave function, completely breaking away from Ohm's law. This makes the resistance value a permanent quantum property of the material under magnetic command control, and its milliohm / hundred milliohm / kilohm resistance value is irreversibly locked by the initial electron group dimension.
[0125] Example 13: As Figure 6 and Figure 7As shown, based on Embodiments 1-12, the immersion liquid-cooled data control system combining photovoltaic and low-temperature waste heat power generation provided in this embodiment of the invention includes: a liquid-cooled cabinet 1, a CDU control unit 2, a PLC controller 3, a solar panel 4, a photovoltaic cell 5, a light intensity sensor 6, a waste heat recovery device 7, a mode switch 8, a water pump 9, a fan 10, a dry condenser 11, an oil pump 12, a circuit switch 13, an evaporator 14, a condenser 15, an expander 16, a generator 17, and a working fluid pump 18.
[0126] The coolant outlet at the upper right end of the liquid-cooled cabinet 1 is connected to the CDU control unit 2 via a pipe. The CDU control unit 2 is connected to the PLC controller 3 via a circuit. The solar panel 4 is mounted on the photovoltaic cell 5, which is connected to the CDU control unit 2, the PLC controller 3, the mode switcher 8, the water pump 9, and the dry condenser 11. The light intensity sensor 6 is mounted on one side of the photovoltaic cell 5 and connected to the PLC controller 3. The waste heat recovery device 7 is connected to the dry condenser 11 and the CDU control unit 2 via a pipe. The mode switcher 8 is mounted on the top of the waste heat recovery device 7 and is connected to the PLC controller 3. LC controller 3 is connected; water pump 9 is connected to CDU control unit 2 and coolant inlet at the lower left end of liquid cooling cabinet 1 via pipe; fan 10 is installed at the top of dry condenser 11, oil pump 12 is connected to outlet end of dry condenser 11 and evaporator 14 via pipe; one end of circuit switch 13 is connected to water pump 9, and the other end is connected to waste heat recovery device 7; evaporator 14 is connected to one end of expander 16 and one end of working fluid pump 18 via pipe, the other end of expander 16 is connected to one end of condenser 15, the other end of condenser 15 is connected to the other end of working fluid pump 18, and expander 16 is connected to generator 17.
[0127] In the above embodiments, in the photovoltaic power supply mode, when there is sufficient sunlight, the solar panel 4 absorbs light energy and converts it into electrical energy, which is stored in the photovoltaic cell 5; the light intensity sensor 6 monitors the light intensity in real time and feeds the data back to the PLC controller 3; the photovoltaic power drives the water pump 9 and the CDU control unit 2, and the coolant flows out from the upper right outlet of the liquid cooling cabinet 1, is cooled by the CDU control unit 2, and then flows back from the lower left inlet to form a liquid cooling cycle; if there is excess photovoltaic power, it can be assisted by the dry condenser 11 for heat dissipation, and the heat exchange effect can be enhanced by the fan 10.
[0128] When there is insufficient sunlight in the waste heat power generation mode, the mode switcher 8 switches to the waste heat recovery mode under the control of the PLC controller 3; the waste heat recovery device 7 absorbs waste heat from the liquid cooling system and transfers the heat to the evaporator 14 through the dry condenser 11; in the evaporator 14, the low-boiling-point working fluid is heated and vaporized, which drives the expander 16 to rotate, thereby driving the generator 17 to generate electricity; the expanded working fluid enters the condenser 15 to cool and liquefy, and is sent back to the evaporator 14 by the working fluid pump 18, forming an organic Rankine cycle (ORC).
[0129] The PLC controller 3 automatically adjusts the mode switch 8 according to the light intensity and waste heat temperature to achieve coordinated operation of photovoltaic power supply and waste heat power generation; the oil pump 12 and dry condenser 11 provide additional heat exchange protection to ensure stable system operation.
[0130] This embodiment achieves high energy efficiency, with photovoltaic cells 5 and waste heat recovery device 7 providing complementary energy sources, reducing grid dependence and improving overall energy utilization. Heat dissipation is optimized, with immersion liquid cooling 1 and CDU control unit 2 directly cooling the server, achieving higher heat exchange efficiency than traditional air cooling; dry condenser 11 and fan 10 provide auxiliary heat dissipation, adapting to different load scenarios. Reliability and stability are ensured through PLC controller 3 automatically switching operating modes, with photovoltaic and waste heat serving as backups to avoid downtime due to single-point failures; oil pump 12 provides redundant coolant flow assurance, ensuring operation even under extreme conditions. Environmental protection and energy saving are achieved, with the waste heat recovery system reducing CO2 emissions by approximately 15 tons annually, meeting green data center standards; working fluid pump 18 uses environmentally friendly refrigerant, reducing environmental impact. It is particularly suitable for high-energy-consuming data centers, achieving a highly efficient, stable, and low-carbon operating mode through triple optimization of photovoltaic power supply + waste heat power generation + liquid cooling.
[0131] This embodiment includes an immersion liquid-cooled cabinet 1 composed of several servers, a dry condenser 11 containing a fan 10, a CDU control unit 2 equipped with solar panels 4 for photovoltaic power generation, a plate heat exchanger, variable frequency water pumps 9 and oil pumps 12 for primary and secondary circulation, and a waste heat recovery device 7 for the data center connected to the plate heat exchanger. The waste heat recovery device 7 includes an evaporator 14, a condenser 15, an expander 16, a generator 17, and a working fluid pump 18. The system utilizes the low-temperature waste heat (typically 40°C~80°C) generated by the data center servers and transfers the heat to the circulating working fluid (such as low-boiling-point organic working fluids R123 or R152a) through the plate heat exchanger. The liquid working fluid, after absorbing heat, is converted into high-pressure saturated steam in the evaporator 14, which drives the expander 16 to rotate and perform work, thereby driving the generator 17 to generate electricity. The generated electricity is directly supplied to the CDU control unit 2, water pumps 9, and other equipment. After performing work, the low-pressure waste gas enters the condenser 15, where it releases heat and re-condenses into a liquid state under the cooling of the dry condenser 11 (in conjunction with the fan 10). Finally, it is pressurized by the working gas pump 18 and sent back to the evaporator 14, forming a closed continuous cycle. This process converts waste heat energy into electrical energy, significantly reducing the energy consumption of auxiliary equipment in the data center, while improving overall energy efficiency through cascade utilization.
[0132] The data center system's internal CDU photovoltaic power generation and waste heat recovery management uses the AM0105 methodology in conjunction with PLC controller 3. The AM0105 methodology classifies the CDU's operating state into three states—on, idle, and off—based on the load changes of each rack and the corresponding energy consumption of the CDU control unit 2. PLC controller 3 summarizes the CDU energy consumption curve from historical data and uses the photovoltaic output power monitored by the light intensity sensor 6. Then, PLC controller 3 freely switches between the three modes based on the real-time changes in the CDU control unit 2's energy consumption and photovoltaic output power.
[0133] When the liquid-cooled rack 1 is powered on, its load exceeds 50%. The CDU control unit 2 requires more energy to control server flow exchange and coolant heat exchange. To ensure stable power supply during the day, the PLC controller 3 activates the photovoltaic cell 5 as auxiliary power supply, based on the grid connection. At night, the light intensity sensor 6 detects a decrease in light intensity, and the PLC controller 3 responds by stopping photovoltaic power generation and storing residual electricity. The waste heat power generation device 7 then connects with the grid to ensure the normal operation of the CDU control unit 2. When the liquid-cooled rack 1 is idle, its load is between 20% and 50%. During the day, the CDU control unit 2 generates electricity directly from the photovoltaic cell 5. At night, when sunlight is absent, the PLC controller 3 controls low-temperature waste heat power generation to maintain data center operation. When the rack is powered off, the data center rack essentially stops operating or maintains only 10% to 15% load. After monitoring, the PLC controller 3 disconnects the grid connection, and the CDU control unit 2 is powered entirely by solar energy during the day. At night, the stored residual electricity is used as the power source for the CDU control unit 2.
[0134] The data center liquid cooling system of this invention is based on the combination of photovoltaic power generation and waste heat recovery. For example, it can be used in a data center containing 50 single-phase immersion liquid-cooled racks with 50 1U servers. When the racks are running in the powered-on state, during the day, the solar panels 4 on the CDU control unit 2 are activated by the PLC controller 3 to absorb solar energy for photovoltaic power generation, reducing the energy consumption of the CDU control unit 2 of each rack and alleviating the burden on the public power grid of the data center. At night, PLC controller 2 shuts down solar panel 4 and starts the waste heat recovery device 7 of the data center. In the system, cooling water exchanges heat with superheated coolant through a plate heat exchanger, forming a saturated liquid state with a certain pressure and temperature. The superheated cooling water then flows into the evaporator 14 of the waste heat recovery device 7. The low-boiling-point working fluid (such as R123 or R152a) in the evaporator 14 exchanges heat with the cooling water, absorbing heat again and becoming a saturated gaseous working fluid that drives the expander 16. The expander 16 drives the generator 17 to continue supplying power to the CDU control unit 2. Simultaneously, the waste gas (working fluid) after work is sent to the condenser 15 by the working fluid pump 18, returning to a liquid working fluid and forming a complete cycle. Furthermore, to ensure safety, the system is equipped with an early warning and control mechanism. When the data center suddenly needs to operate at full load, PLC controller 3 automatically triggers the grid, waste heat recovery device 7, and photovoltaic cell 5 to supply power in parallel. Depending on the situation, the photovoltaic cell 5 can also supply surplus electricity to other parts of the system, such as water pump 9, oil pump 12, and condenser 15.
[0135] Figure 8 A block diagram of an exemplary electronic device suitable for implementing embodiments of the present invention is shown.
[0136] The electronic device may include a central processing unit / microprocessor / main control chip, etc. 19; and a storage medium 20 coupled to the central processing unit / microprocessor / main control chip, etc. 19, and storing computer-executable instructions therein for performing the steps of various methods of embodiments of the present invention when executed by the processor.
[0137] The central processing unit / microprocessor / main control chip, etc., 19 may include, but are not limited to, one or more processors or microprocessors, etc.
[0138] Storage medium 20 may include, but is not limited to, random access memory (RAM), read-only memory (ROM), flash memory, EPROM memory, EEPROM memory, registers, computer storage media (e.g., hard disk, floppy disk, solid-state drive, removable disk, CD-ROM, DVD-ROM, Blu-ray disc, etc.).
[0139] In addition, the electronic device may also include (but is not limited to) a data bus 21, an input / output bus / external bus / device bus 22, a display 23, and input / output devices 24 (e.g., keyboard, mouse, speaker, etc.).
[0140] The central processing unit / microprocessor / main control chip, etc. 19 can communicate with external devices (23, 24, etc.) via I / O bus 22 through wired or wireless network (not shown).
[0141] Storage medium 20 may also store at least one computer-executable instruction for performing steps of various functions and / or methods in the embodiments described herein when run by the central processing unit / microprocessor / main control chip, etc. 19.
[0142] In one embodiment, the at least one computer-executable instruction may also be compiled into or comprise a software product, wherein one or more computer-executable instructions are executed by a processor to perform the steps of the various functions and / or methods in the embodiments described herein.
[0143] Figure 9 A schematic diagram of a computer-readable storage medium according to an embodiment of the present invention is shown.
[0144] like Figure 9As shown, instructions, such as computer-readable instructions 25, are stored on the non-transitory computer-readable storage medium 26. When the computer-readable instructions 25 are executed by a processor, the various methods described above can be performed. The non-transitory computer-readable storage medium includes, but is not limited to, volatile memory and / or non-volatile memory. Volatile memory may include, for example, random access memory (RAM) and / or cache memory. Non-transitory non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc. For example, the non-transitory computer-readable storage medium 26 can be connected to a computing device such as a computer, and then, when the computing device executes the computer-readable instructions 25 stored on the computer-readable storage medium 26, the various methods described above can be performed.
[0145] In the several embodiments provided by this invention, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.
[0146] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.
[0147] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.
[0148] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for executing all or part of the steps of the methods of the various embodiments of this invention through a computer device (which may be a personal computer, server, or network device, etc.). The aforementioned storage medium includes: USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, optical disks, and other media capable of storing program code.
[0149] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims
1. A data control method for immersion liquid cooling combining photovoltaic and low-temperature waste heat power generation, characterized in that, Includes the following steps: The symbiotic energy base drives a dual-path conversion: photovoltaic power is directly supplied to the cooling system pumps and control units to maintain the liquid cooling cycle; waste heat is used to drive the expansion unit to generate electricity through the gasification of organic working fluid, which supplements the energy consumption of the cooling system and forms a self-driven energy flow system; the low-temperature waste heat generated by the server operation is transferred to the liquid cooling cycle system, and the photovoltaic modules capture solar radiation energy simultaneously, which constitutes the basic energy input and generates the symbiotic energy base. The core of the energy flow self-driven system is the input control of operating parameters. Based on the load status and photovoltaic output, it dynamically executes a three-state strategy: high load linkage with grid peak shaving, medium load solar thermal self-complementary, and low load independent photovoltaic support; and it achieves zero-intervention steady-state operation by reconstructing the energy path in real time through a mode switcher. The process of forming a self-driven energy flow system includes the following steps: The thermal parameters in the symbiotic energy substrate are input into the waste heat recovery device, which induces the organic working fluid molecules to generate an axial kinetic energy gradient in the evaporator, causing the molecules to aggregate in an orderly manner along a preset direction. Axial kinetic energy gradient drives the working fluid gasification flow to impact the turbine blades. The nanogroove structure on the blade surface converts molecular kinetic energy into continuous angular momentum, and its torque value matches the power demand of the cooling system pump group in real time. The expansion machine output shaft is embedded with a permanent magnet vortex ring. The continuous angular momentum cuts the closed magnetic circuit to generate an induced current. After the phase of the induced current is optimized by the winding topology, it directly outputs an isentropic electrical energy pulse, which is seamlessly connected to the power supply bus of the cooling system.
2. The immersion liquid cooling data control method combining photovoltaic and low-temperature waste heat power generation as described in claim 1, characterized in that, The process of reconstructing energy paths in real time using a mode switcher includes the following steps: The junction temperature gradient of the server chip and the carrier mobility of the photovoltaic cell are interlocked through the semiconductor lattice resonance effect, forming a dynamic load light intensity characteristic surface. The dynamic load light intensity characteristic surface excites the magnetic domain flipping behavior through the gap magnetic field of the permanent magnet vortex ring. Its flipping mode corresponds to the load state, generating non-volatile topology commands. High load state: Magnetic domain multi-pole flipping triggers grid interface lattice resonance; Medium load state: Magnetic domain bi-pole flipping activates the photovoltaic-thermal complementary channel; Low load state: Magnetic domain uni-pole flipping closes the photovoltaic direct-through loop. In the non-volatile topology command-driven mode switcher, the ferroelectric phase change material undergoes lattice recombination, and its conductivity distribution is reconstructed into three conduction modes according to the command, forming a zero-delay energy topology. High load: Low resistance path of grid-cooling bus; Medium load: Parallel path of photovoltaic-waste heat; Low load: DC path of photovoltaic.
3. The immersion liquid cooling data control method combining photovoltaic and low-temperature waste heat power generation as described in claim 2, characterized in that, The process of reconstructing the conductivity distribution into three conduction modes according to instructions includes the following steps: The magnetic field configuration of the non-volatile topological command acts on the oxygen octahedral rotation system of the ferroelectric phase transition material, locking the cation displacement vector of a specific crystal plane with the magnetic moment direction, forming a lattice-magnetic moment coherent interface. The lattice-magnetic moment coherent interface triggers the directional migration of oxygen ion vacancies along the crystallographic slip plane, generating a cation threshold conductivity array; High load instruction: Vacancies accumulate in the crystal direction to form a three-dimensional conductive network; Medium load instruction: Vacancies construct dual pathways along the crystal direction; Low load instruction: Vacancies construct a single channel in the crystal direction; The spin electron cloud of the cation threshold conductive array covers the material surface, and its Fermi level recess depth automatically matches the impedance requirements of the target conduction mode, realizing a lattice-level energy topology.
4. The immersion liquid cooling data control method combining photovoltaic and low-temperature waste heat power generation as described in claim 3, characterized in that, The process of generating a cation threshold conductivity array includes the following steps: The lattice-magnetic moment coherent interface produces pseudocubic unit cell distortion, and the lattice constant of a specific slip plane is asymmetrically stretched, forming a vacancy migration barrier gradient. The vacancy migration barrier gradient triggers the directional diffusion of oxygen ions along the direction of decreasing barrier, the crystal direction barrier difference induces the diffusion of vacancy bodies, the crystal direction barrier difference drives the diffusion of vacancy planes, and the crystal direction barrier difference constrains the diffusion of vacancy lines; when the local vacancy concentration exceeds the lattice doping threshold, it triggers the splitting of cation spin states. Spin-state split cations form localized d-electron orbital overlaps at grain boundaries, and the split-state electron cloud constructs along the diffusion path: a three-dimensional network, a dual-path matrix, and a single-row chain structure, generating a long-range ordered conductive array.
5. The immersion liquid cooling data control method combining photovoltaic and low-temperature waste heat power generation as described in claim 4, characterized in that, The process of constructing a split-state electron cloud along a diffusion path includes the following steps: The crystal field stability energy of the spin-splitter cation is compressed by lattice distortion, leading to energy level splitting of the fivefold degenerate d electron orbitals; Energy level splitting triggers the reconstruction of the split-state electronic wavefunction at the grain boundary. The dz² orbital electron cloud extends conically along the bulk diagonal and penetrates adjacent cells to form a three-dimensional electron tunneling network. A three-dimensional electron tunneling network, a dual-path conductive matrix, and a single-row quantum wire chain respectively capture lattice vibration phonons of the corresponding crystal orientation. The conductive path is locked in the three-dimensional network to carry a milliohm-level resistance through phonon-electron coupling. The dual-path maintains a hundred-millihm impedance, and the single-row chain exhibits a thousand-ohm resistance, thus completing the cation threshold conductive array.
6. The immersion liquid cooling data control method combining photovoltaic and low-temperature waste heat power generation as described in claim 5, characterized in that, The process of locking a conductive path via phonon-electron coupling includes the following steps: The three-dimensional structure of the electron tunneling network captures the atomic expansion and contraction vibrations of the crystal orientation, the planar structure of the dual-path conductive matrix adsorbs the interlayer slip vibrations of the crystal orientation, and the linear structure of the single-row quantum wire chain fixes the axial stretching vibrations of the crystal orientation, forming phonon energy bound states. Phonon energy-bound states force the reconstruction of the trajectory of free electrons. In a three-dimensional network, electrons gain full spatial degrees of freedom. In a dual-path matrix, electrons are confined to a two-dimensional plane. In a single-row chain, electrons move directionally along a single axis, generating a dimensionally confined electron group. The dimensional confined electron group, through lattice coupling, forms an ultra-low resistance channel through the cooperative motion of three-dimensional free electrons. The collision loss of two-dimensional planar electrons maintains the median impedance, and the one-dimensional directional electron path constraint induces high resistance characteristics, thus completing a permanently stable conductive array.
7. The immersion liquid cooling data control method combining photovoltaic and low-temperature waste heat power generation as described in claim 6, characterized in that, The process of dimensionally confined electron groups operating through lattice coupling includes the following steps: The full-space motion trajectory of the three-dimensional free electron group excites synchronous fluctuations of the lattice atomic nuclei, causing coherent displacement fields to be generated at the corner atoms of the cubic unit cell, and the potential well depth is reduced to the order of electron de Broglie wavelength. The coherent displacement field forms a potential energy plateau in the three-dimensional network region, and the phase of free electrons remains continuous as they cross the potential barrier; the restricted motion of the two-dimensional planar electron group triggers asymmetric oscillations of crystal plane atoms, generating an interleaved potential barrier array. The axis of motion of a one-dimensional directional electron group is strongly coupled with the atomic nuclei of the lattice, generating multiple potential barrier chains; The potential field reconstruction system achieves global coherence of the electron wave function through the conservation of nuclear-electron angular momentum and a three-dimensional potential energy platform, forming a Bose condensation superfluid channel. A two-dimensional staggered barrier array induces partial electron tunneling, maintaining the balance of charge carrier collision dissipation. A one-dimensional barrier chain constrains the localized transition of electrons, realizing single-path quantum blocking and completing the dimension-solidified resistor array.
8. A submerged liquid-cooled data control system combining photovoltaic and low-temperature waste heat power generation, implementing the submerged liquid-cooled data control method combining photovoltaic and low-temperature waste heat power generation as described in any one of claims 1 to 7, characterized in that, Includes: liquid cooling cabinet, CDU control unit, PLC controller, solar panel, photovoltaic cell, light intensity sensor, waste heat recovery device, mode switch, water pump, fan, dry condenser, oil pump, circuit switch, evaporator, condenser, expander, generator, working fluid pump; The liquid-cooled cabinet has a coolant outlet at the upper right end connected to the CDU control unit via a pipe. The CDU control unit is connected to the PLC controller via a circuit. Solar panels are mounted on photovoltaic cells, which are connected to the CDU control unit, PLC controller, mode switcher, water pump, and dry condenser. A light intensity sensor is mounted on one side of the photovoltaic cells and connected to the PLC controller. A waste heat recovery device is connected to the dry condenser and CDU control unit via a pipe. The mode switcher is mounted on top of the waste heat recovery device and connected to the PLC controller. The water pump is connected to the CDU control unit and the coolant inlet at the lower left end of the liquid-cooled cabinet via a pipe. A fan is mounted on top of the dry condenser. An oil pump is connected to the outlet of the dry condenser and the evaporator via a pipe. One end of a circuit switch is connected to the water pump, and the other end is connected to the waste heat recovery device. The evaporator is connected to one end of the expander and one end of the working fluid pump via a pipe. The other end of the expander is connected to one end of the condenser, and the other end of the condenser is connected to the other end of the working fluid pump. The expander is connected to the generator.
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