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A review of data center cooling technology, operating conditions and the corresponding low-grade waste heat recovery opportunities
The depletion of the world's limited reservoirs of fossil fuels, the worldwide impact of global
warming and the high cost of energy are among the primary issues driving a renewed …
warming and the high cost of energy are among the primary issues driving a renewed …
Dynamic thermal environment management technologies for data center: A review
Y Du, Z Zhou, X Yang, X Yang, C Wang, J Liu… - … and Sustainable Energy …, 2023 - Elsevier
The energy demand of the data center (DC) industry has accounted for 2% of the total global
energy consumption, and its operating power consumption has reached 50 times that of the …
energy consumption, and its operating power consumption has reached 50 times that of the …
[BUKU][B] Surrogate-model-based design and optimization
Surrogate-Model-Based Design and Optimization | SpringerLink Skip to main content
Advertisement Springer Nature Link Account Menu Find a journal Publish with us Track your …
Advertisement Springer Nature Link Account Menu Find a journal Publish with us Track your …
A two-stage adaptive multi-fidelity surrogate model-assisted multi-objective genetic algorithm for computationally expensive problems
Surrogate model-assisted multi-objective genetic algorithms (MOGA) show great potential in
solving engineering design problems since they can save computational cost by reducing …
solving engineering design problems since they can save computational cost by reducing …
A kriging metamodel assisted multi-objective genetic algorithm for design optimization
The high computational cost of population based optimization methods, such as multi-
objective genetic algorithms (MOGAs), has been preventing applications of these methods …
objective genetic algorithms (MOGAs), has been preventing applications of these methods …
Geometric filtration using proper orthogonal decomposition for aerodynamic design optimization
C= fluctuation correlation matrix CD= drag coefficient CL= lift coefficient F= matrix of
snapshot fluctuations l= design variable lower bounds M= no. of snapshots n= no. of sample …
snapshot fluctuations l= design variable lower bounds M= no. of snapshots n= no. of sample …
Optimization via FENSAP-ICE of aircraft hot-air anti-icing systems
MPC Pellissier, WG Habashi, A Pueyo - Journal of Aircraft, 2011 - arc.aiaa.org
IN-FLIGHT icing is a major concern in aircraft safety because it remains a nonnegligible
source of accidents and is still a serious hazard today [1, 2]. Indeed, the aerodynamic …
source of accidents and is still a serious hazard today [1, 2]. Indeed, the aerodynamic …
Air flow measurement and management for improving cooling and energy efficiency in raised-floor data centers: A survey
Recently, the rapid growth in both data center power density and scale poses great
challenges to the cooling system. On one hand, the data center operators try to over …
challenges to the cooling system. On one hand, the data center operators try to over …
Multiobjective collaborative robust optimization with interval uncertainty and interdisciplinary uncertainty propagation
We present a new solution approach for multidisciplinary design optimization (MDO)
problems that, for the first time in literature, has all of the following characteristics: Each …
problems that, for the first time in literature, has all of the following characteristics: Each …
Data mining of Pareto-optimal transonic airfoil shapes using proper orthogonal decomposition
MULTIOBJECTIVE design exploration [1](MODE) is a framework to extract essential
knowledge of a multiobjective design optimization problem, such as tradeoff information …
knowledge of a multiobjective design optimization problem, such as tradeoff information …