Comprehensive review and future prospects of multi-level fan control strategies in data centers for joint optimization of thermal management systems

K Cao, Z Li, H Luo, Y Jiang, H Liu, L Xu, P Gao… - Journal of Building …, 2024 - Elsevier
With the rapid advancement of information and communication technology, particularly in
artificial intelligence and cloud computing, the deployment of data centers has surged …

Deepee: Joint optimization of job scheduling and cooling control for data center energy efficiency using deep reinforcement learning

Y Ran, H Hu, X Zhou, Y Wen - 2019 IEEE 39th International …, 2019 - ieeexplore.ieee.org
The past decade witnessed the tremendous growth of power consumption in data centers
due to the rapid development of cloud computing, big data analytics, and machine learning …

Model-based optimization of free cooling switchover temperature and cooling tower approach temperature for data center cooling system with water-side economizer

J Li, Z Li - Energy and Buildings, 2020 - Elsevier
Free cooling is commonly used in data centers to reduce cooling system energy
consumption using a water-side economizer (WSE). In this system, cooling mode is switched …

Optimizing energy efficiency for data center via parameterized deep reinforcement learning

Y Ran, H Hu, Y Wen, X Zhou - IEEE Transactions on Services …, 2022 - ieeexplore.ieee.org
The rapid advancements in cloud computing, Big Data and their related applications have
led to a skyrocketing increase in data center energy consumption year by year. The prior …

Adaptive control algorithm with a retraining technique to predict the optimal amount of chilled water in a data center cooling system

BR Park, YJ Choi, EJ Choi, JW Moon - Journal of Building Engineering, 2022 - Elsevier
We developed control algorithms based on one of three artificial-intelligence-based
retraining techniques (sliding window, vector adaptation, and vector augmentation) to …

Thermal management of air and liquid cooled data centres: A review

GD Chethana, BS Gowda - Materials Today: Proceedings, 2021 - Elsevier
Data centres (DCs) are often provided with adequate air conditioning units to meet cooling
needs. Failure free operation is the primary goal of any DC, as equipment failure in a DC is …

Cooperatively improving data center energy efficiency based on multi-agent deep reinforcement learning

C Chi, K Ji, P Song, A Marahatta, S Zhang, F Zhang… - Energies, 2021 - mdpi.com
The problem of high power consumption in data centers is becoming more and more
prominent. In order to improve the energy efficiency of data centers, cooperatively optimizing …

Optimizing data center energy efficiency via event-driven deep reinforcement learning

Y Ran, X Zhou, H Hu, Y Wen - IEEE Transactions on Services …, 2022 - ieeexplore.ieee.org
To reduce the skyrocketing energy consumption of data centers, the prevailing approaches
adopt the time-driven manner to control IT and cooling subsystems. These methods suffer …

Evaluation and optimization of a two-phase liquid-immersion cooling system for data centers

C Liu, H Yu - Energies, 2021 - mdpi.com
An efficient cooling system for data centers can boost the working efficiency of servers and
promote energy savings. In this study, a laboratory experiment and computational fluid …

Graph-based modelling and simulation of liquid immersion cooling systems

M Lionello, M Rampazzo, A Beghi, D Varagnolo… - Energy, 2020 - Elsevier
Currently, most of the existing data centers use chilled air to remove the heat produced by
the servers. However, liquids have generally better heat dissipation capabilities than air …