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Full-Text Articles in Engineering
Hybrid-Cooled Data Center Server Layout Optimization For Air-Side Heat Recovery, Assel Sakanova, Sajad Alimohammadi, Jaakko Mcevody, Tim Persoons
Hybrid-Cooled Data Center Server Layout Optimization For Air-Side Heat Recovery, Assel Sakanova, Sajad Alimohammadi, Jaakko Mcevody, Tim Persoons
Conference Papers
The rapid increase in energy demand for data center requires improved cooling techniques. This study investigates, numerically and experimentally, the energy efficiency optimization based on server level air flows and also identifies the potential for waste heat recovery from the air stream for a hybrid air/liquid cooled server. Multi-objective genetic algorithm and entropy generation minimization are chosen as tools to address the multiple objectives involved in the problem and examine the cooling performance and waste heat recovery potential. Selected experimental measurements have successfully validated the CFD simulation model.
Benchmarking The Application Of Detached Eddy Simulation Techniques In Data Center Server Flow Modelling Using Stereoscopic Particle Image Velocimetry, Sajad Alimohammadi, Jaakko Mcevody, Yan Delauré, Tim Persoons
Benchmarking The Application Of Detached Eddy Simulation Techniques In Data Center Server Flow Modelling Using Stereoscopic Particle Image Velocimetry, Sajad Alimohammadi, Jaakko Mcevody, Yan Delauré, Tim Persoons
Conference Papers
The evolution and new trends in low-cost cloud computing services and growing data analysis loads on data centers keep increasing the power density of the servers as well as the global electricity consumption of data centers. The server component arrangement is mainly bounded by compactness of the device and can be somewhat overlooked. Both optical visualization and computational simulation techniques can be utilized to quantify complex turbulent flow fields inside the servers, and thus optimize thermal flows. The primary stage of a comprehensive research to enhance data center server cooling performance and energy efficiency is reported on here. A full-scale …
Task Complexity, And Operators’ Capabilities As Predictor Of Human Error: Modeling Framework And An Example Of Application, Maria Chiara Leva, Alberto Caimo, R. Duane, Micaela Demichela, Lorenzo Comberti
Task Complexity, And Operators’ Capabilities As Predictor Of Human Error: Modeling Framework And An Example Of Application, Maria Chiara Leva, Alberto Caimo, R. Duane, Micaela Demichela, Lorenzo Comberti
Conference Papers
This paper presents the initial framework adopted to assess human error in assembly tasks at a large manufacturing company in Ireland. The model to characterize and predict human error presented in this paper is linked conceptually to the model introduced by Rasch (1980), where the probability of a specified outcome is modelled as a logistic function of the difference between the person capacity and item difficulty. The model needs to be modified to take into account an outcome that is not dichotomous and feed into the interaction between two macro factors: (a) Task complexity: that sum-marises all factors contributing to …