Exergy Analysis of Data Center Thermal Management Systems

Shah, Amip; Carey, Van P.; Bash, Cullen; Patel, Chandrakant D.; Sharma, Ratnesh

doi:10.1007/978-1-4419-7124-1_9

Cited by 3 publications

(1 citation statement)

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“…This would enable quantitative comparisons between motifs; their categorization as "good" or "bad" from the sustainability metric point-of-view; and, furthermore, this information could be used to provide guidance to an administrator or a management system regarding the most "sustainable" configurations of the chiller ensemble under a particular load. There are several sustainability metrics, such as power consumed, carbon footprint, and exergy loss [Shah et al 2008], where exergy is defined as the energy that is available to be used. Note that typically optimizing a sustainability metric, such as power consumed, also minimizes the total cost of operation.…”

Section: Sustainability Characterizationmentioning

confidence: 99%

Temporal data mining approaches for sustainable chiller management in data centers

Patnaik

Marwah

Sharma

et al. 2011

ACM Trans. Intell. Syst. Technol.

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Practically every large IT organization hosts data centers-a mix of computing elements, storage systems, networking, power, and cooling infrastructure-operated either in-house or outsourced to major vendors. A significant element of modern data centers is their cooling infrastructure, whose efficient and sustainable operation is a key ingredient to the "always-on" capability of data centers. We describe the design and implementation of CAMAS (Chiller Advisory and MAnagement System), a temporal data mining solution to mine and manage chiller installations. CAMAS embodies a set of algorithms for processing multivariate time-series data and characterizes sustainability measures of the patterns mined. We demonstrate three key ingredients of CAMAS-motif mining, association analysis, and dynamic Bayesian network inference-that help bridge the gap between low-level, raw, sensor streams, and the high-level operating regions and features needed for an operator to efficiently manage the data center. The effectiveness of CAMAS is demonstrated by its application to a real-life production data center managed by HP.

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Section: Sustainability Characterizationmentioning

confidence: 99%

Temporal data mining approaches for sustainable chiller management in data centers

Patnaik

Marwah

Sharma

et al. 2011

ACM Trans. Intell. Syst. Technol.

Self Cite

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Thermal Modeling and Management of Storage Systems in Data Centers

Jiang

Zhang

Qin

et al. 2015

Handbook on Data Centers

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A versatile modeling approach to monitoring and reduction of energy consumption of telecommunication cooling systems

et al. 2016

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The paper presents and discusses the versatility of a first principle based model aimed at performing extensive energy scenario analyses for single telecommunication (TLC) equipment rooms. Such a modeling approach is currently under implementation on an intranet platform specifically developed to perform real-time monitoring and diagnosis, as well as offline optimization analyses based on real data acquired on the field. Specifically in this work, a model of room thermal dynamics previously developed by the authors was upgraded, in such a way as to enable its extension to any TLC room, thus also being versatile for application in different room typology and in all possible climatic locations as well. Through the model, specific energy management strategies were tested and extensively analyzed by exploring a large number of control parameters ranges. The model was also coupled to a sub-model enabling the simulation of air handling unit operated in cold ventilation, thus allowing assessing the effect of including such a low-cost operating mode, whose main features are detailed in a specific section. The performed simulations not only clearly indicate the high accuracy granted by the model in all analyzed rooms, but also demonstrate the great potential offered by well-constructed model-based optimization analyses to single out the best control parameters to be applied on a given TLC room

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Exergy Analysis of Data Center Thermal Management Systems

Cited by 3 publications

References 100 publications

Temporal data mining approaches for sustainable chiller management in data centers

Temporal data mining approaches for sustainable chiller management in data centers

Thermal Modeling and Management of Storage Systems in Data Centers

A versatile modeling approach to monitoring and reduction of energy consumption of telecommunication cooling systems

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