System and method for radiative cooling for data centers
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Solution Overview
Problem
Existing heat dissipation methods in data centers, such as liquid cooling and fans, are energy-intensive and environmentally impactful, and radiative cooling is less effective in areas with high cloud cover due to absorption and scattering of electromagnetic energy by clouds.
Innovation Solution
A system utilizing artificial intelligence to determine cloudless portions of the sky and adjust passive cooling panels using a robotic arm to direct heat dissipation, combining radiative and active liquid cooling to efficiently dissipate heat by converting it into electromagnetic energy and emitting it into cloudless areas of the sky.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Temperature
If traditional liquid cooling or fan-based cooling is used, then heat dissipation is effective, but energy consumption increases and environmental impact worsens
Solution Approach 1:
The system uses passive radiative cooling panels that automatically dissipate heat without requiring external energy input. The panels convert heat energy to electromagnetic radiation and emit it into the sky, utilizing natural atmospheric conditions rather than consuming additional energy for active cooling
Solution Approach 2:
The invention replaces mechanical cooling systems (fans, pumps) with a radiative cooling system that uses electromagnetic radiation to transfer heat directly from the liquid to the atmosphere, eliminating the need for mechanical energy consumption
2Device complexity
If radiative cooling is used in areas with high cloud cover, then the system structure is simple, but heat dissipation effectiveness decreases due to cloud absorption and scattering
Solution Approach 1:
The system dynamically adjusts the orientation of radiative cooling panels using robotic arms to track and target cloudless portions of the sky. This dynamic positioning allows the simple radiative cooling structure to adapt to changing atmospheric conditions and maintain effectiveness even when some sky portions are clouded
Solution Approach 2:
The system targets specific local regions of the sky (cloudless portions) rather than requiring the entire sky to be clear. By directing heat radiation toward localized clear areas, the system maintains effectiveness without requiring complete sky clearance
3Device complexity
If fixed radiative cooling panels are used, then the system is simple, but adaptability to changing sky conditions is reduced
Solution Approach 1:
The system incorporates robotic arms that enable the radiative cooling panels to dynamically change their orientation and position in response to moving clouds. This dynamic capability allows the system to continuously track cloudless sky portions and maintain optimal heat dissipation performance
Solution Approach 2:
The system uses cameras and artificial intelligence to monitor sky conditions in real-time, providing feedback that guides the robotic arms to adjust panel orientation. This closed-loop control enables the system to adapt to changing atmospheric conditions while maintaining relatively simple panel structures
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows for rapid and efficient heat dissipation with minimal energy consumption, effectively addressing the limitations of traditional cooling methods and improving heat management in data centers by leveraging cloudless sky conditions for optimal heat dispersal.
Implementation Method 1
Radiative cooling technology allows heat energy to be converted to electromagnetic or light energy and dispersed into the sky by the use of emissive surfaces
Implementation Method 2
Liquid containing waste heat from equipment may be pumped through the panels, which then emit the heat via electromagnetic energy
Implementation Method 3
The heat dissipation surface or panel may emit electromagnetic energy and cool liquid flowing through the panel
Implementation Method 4
generate a signal to cause a heat dissipation surface or panel to be moved (e.g., using a robotic arm) such that heat is radiated toward the cloudless portion of the sky
Implementation Method 5
receive an image of the sky, determine a cloudless portion of the sky, e.g., using artificial intelligence
Data Source
AI summary
Methods, apparatuses, systems, computing devices, and/or the like are provided. An example system for heat dissipation may include a memory. The example system may also include a processor configured to receive at least one visual representation of at least a portion of the sky, determine, based on the at least one visual representation (e.g., using artificial intelligence), a mask distinguishing between clouded and cloudless portions of the sky, based on the mask, determine a direction in which to point a heat dissipation panel toward one or more aim portions of the sky, and generate a signal to cause one or more heat dissipation surfaces or panels to be moved (e.g., using a robotic arm) such that heat is radiated toward the one or more aim portions of the sky.