AI-optimized closed mist-based cooling system for data centers

Abstract

A closed cooling system for data centers, consisting of: a cloud chamber a drying zone, Peltier-based water recovery modules and an AI control unit, where warm air from the servers is cooled using evaporative mist and most of the evaporated water is recovered for reuse.

Description

SCOPE OF THE INVENTION

[0001] The present disclosure relates to a cooling system for data centers. More precisely, the invention discloses an AI-enabled, closed, mist-based cooling system integrated with a water recovery mechanism. The proposed system addresses energy efficiency, water conservation, and environmental sustainability in data center operation. BACKGROUND OF THE INVENTION

[0002] Given the globally increasing demand for digital storage and artificial intelligence, data centers have become major consumers of electricity and water. Cooling accounts for approximately 35-40% of energy consumption in data centers. Current cooling technologies—such as conventional HVAC systems, evaporative cooling, and liquid cooling—are energy-intensive, consume large quantities of water, and use harmful refrigerants.

[0003] Data centers, particularly Microsoft's Quincy facility, consume hundreds of millions of gallons of water annually for cooling, posing a serious challenge to global sustainability goals. There is a need for a smart, environmentally friendly solution that can be retrofitted into existing infrastructure.

[0004] Accordingly, the present invention offers a retrofittable, AI-controlled cooling system that drastically reduces water consumption, eliminates the need for refrigerants, and improves energy efficiency. It supports initiatives such as Microsoft's Water Plus goal by 2030 and contributes to reducing the carbon footprint. SUMMARY OF THE INVENTION

[0005] The following is a simplified summary of certain embodiments of the invention. This summary is not exhaustive and is intended to provide an overview before a detailed description is provided.

[0006] Accordingly, the present invention discloses a closed, AI-controlled, fog-based cooling system for data centers.

[0007] According to one embodiment of the invention, the system comprises a fog chamber in which warm server exhaust air is cooled by a fine water mist generated by ultrasonic or piezoelectric means. The mist absorbs the heat through evaporative cooling without coming into direct contact with the servers.

[0008] Furthermore, a water recovery system based on a Peltier module condenses over 90% of the water vapor in the exiting humid air. This recovered water is returned to the fog chamber, creating a closed system. An AI-based controller adjusts the fog intensity, fan speed, and Peltier activation based on real-time server load and thermal data.

[0009] Furthermore, the system includes air circulation ducts, a water reservoir (e.g., 100,000 gallons), and sensors for real-time monitoring of temperature, humidity, and airflow. The modular design of the invention allows for easy retrofitting in data centers of varying sizes.

[0010] In a medium-sized 1 MW data center, the system can operate for over 120 days using the same amount of water that conventional systems would consume in less than a week.

[0011] The invention thus ensures optimal cooling with significant energy and water savings, reduced emissions and improved sustainability. DETAILED DESCRIPTION

[0012] The embodiments and features of the invention are explained in more detail below with reference to specific, non-limiting examples. The examples listed here serve to illustrate the core functionality and can be varied without altering the scope of the invention. System components 1. Cloud chamber: A closed unit equipped with piezoelectric or ultrasonic fog generators that atomize water into microdroplets to absorb heat through evaporation. 2. Drying zone: Uses desiccants or passive airflow drying techniques to reduce residual moisture before recirculation. 3. Peltier module array: A series of thermoelectric devices used to condense water vapor from humid air. The system recovers up to 90% of the evaporated water. 4. Air circulation channels: These direct the air movement between the server room, the fog chamber and the condenser modules. 5. Reservoir: A large-capacity tank (e.g., 100,000 gallons) for storing and reusing the water used in the fogging process. 6. Sensors: These are distributed throughout the system to monitor temperature, humidity, pressure and airflow. 7. AI Control: A machine learning module that dynamically adjusts fog formation, fan speed, and water recovery based on historical and real-time conditions. Process flow • Step 1: Warm air from the server room is directed into the fog chamber. • Step 2: Mist is generated, which causes evaporative cooling of the air without contact with the hardware. • Step 3: The cool and moist air flows through the drying zone to reduce excess moisture. • Step 4: After cooling and drying, the air is directed back into the server room. • Step 5: The remaining moist air is passed over Peltier modules, where the water condenses and is recovered. • Step 6: AI algorithms control all subsystems in real time to maximize cooling efficiency and water recovery. Performance indicators (for a 1 MW data center): • Energy consumption: -2730 MWh / year (compared to over 3500 MWh for conventional systems). • Water consumption: 100,000 gallons last for ~126 days (compared to 6 days with conventional systems). • Daily water loss: ~3000 liters (~10% of the daily fog volume). • Reduction of CO2 emissions: ~460 tonnes / year CO2 equivalent.

Claims

[1] A closed cooling system for data centers, consisting of: a cloud chamber a drying zone, Peltier-based water recovery modules and an AI control unit, where warm air from the servers is cooled using evaporative mist and most of the evaporated water is recovered for reuse. [2] System according to claim 1, wherein the nebulization is carried out via piezoelectric or ultrasonic atomizers. [3] System according to claim 1, wherein the Peltier modules recover at least 90% of the evaporated water by condensation. [4] System according to claim 1, wherein the AI ​​control unit dynamically adjusts system parameters such as fog intensity, fan speed and condensation activity based on the thermal load of the servers. [5] System according to claim 1, wherein the cooling process does not require the use of refrigerants and compressors. [6] System according to claim 1, wherein the system is modular in design and can be retrofitted into existing data center infrastructures. [7] System according to claim 1, wherein the moist air from the fog chamber is passed through the Peltier condensation modules for water recovery. [8] System according to claim 1, wherein a 100,000 gallon water reservoir is sufficient to support continuous operation for up to 3-4 months in a medium-sized 1 MW data center.