Technologies for the Energy-Efficient Data Center

2007 ◽  
Author(s):  
Tahir Cader ◽  
Levi Westra ◽  
Andres Marquez
Keyword(s):  
Pacific Northwest ◽  
Data Center ◽  
Data Centers ◽  
Cost Ratio ◽  
Typical Data ◽  
The Pacific ◽  
Power Usage Effectiveness ◽  
Four Levels ◽  
Broad Cross Section ◽  
The Impact

Although semiconductor manufacturers have provided temporary relief with lower-power multi-core microprocessors, OEMs and data center operators continue to push the limits for individual rack power densities. It is not uncommon today for data center operators to deploy multiple 20 kW racks in a facility. Such rack densities are exacerbating the major issues of power and cooling in data centers. Data center operators are now forced to take a hard look at the efficiencies of their data centers. Malone and Belady (2006) have proposed three metrics, i.e., Power Usage Effectiveness (PUE), Data Center Efficiency (DCE), and the Energy-to-Acquisition Cost ratio (EAC), to help data center operators quickly quantify the efficiency of their data centers. In their paper, Malone and Belady present nominal values of PUE across a broad cross-section of data centers. PUE values are presented for data centers at four levels of optimization. One of these optimizations involves the use of Computational Fluid Dynamics (CFD). In the current paper, CFD is used to conduct an in-depth investigation of a liquid-cooled data center that would potentially be housed at the Pacific Northwest National Labs (PNNL). The boundary conditions used in the CFD model are based upon actual measurements on a rack of liquid-cooled servers housed at PNNL. The analysis shows that the liquid-cooled facility could achieve a PUE of 1.57 as compared to a PUE of 3.0 for a typical data center (the lower the PUE, the better, with values below 1.6 approaching ideal). The increase in data center efficiency is also translated into an increase in the amount of IT equipment that can be deployed. At a PUE of 1.57, the analysis shows that 91% more IT equipment can be deployed as compared to the typical data center. The paper will discuss the analysis of the PUE, and will also explore the impact of the raising data center efficiency via the use of multiple cooling technologies and CFD analysis. Complete results of the analyses will be presented in the paper.

Metrics and an Infrastructure Model to Evaluate Data Center Efficiency

2007 ◽  
Author(s):  
Christian L. Belady ◽  
Christopher G. Malone
Keyword(s):  
Data Center ◽  
Power Efficiency ◽  
Cost Model ◽  
Typical Data ◽  
Total Data ◽  
Power Usage Effectiveness ◽  
Equipment Utilization ◽  
Hardware Costs ◽  
The Impact ◽  
Range Of Values

This work describes two data center efficiency metrics: Power Usage Effectiveness (PUE) and Compute Power Efficiency (CPE). PUE characterizes the fraction of the total data center power used for IT work. CPE characterizes the overall data center efficiency, considering IT equipment utilization as well as how power is used in the data center. The PUE results from three data center studies are presented here. The data suggests that a carefully designed and managed data center has a PUE of 2.0. More studies are required to determine the range of values for the typical data center. A data center infrastructure and energy cost model is presented to compare hardware costs to infrastructure and energy costs. The impact of PUE on these costs is examined to illustrate the impact of data center efficiency on the total cost of operating a data center.

scholarly journals An ethic of care? Academic administration and pandemic policy

2021 ◽  
Vol 20 (1-2) ◽  
pp. 632-638
Author(s):  
Stephanie A Bryson
Keyword(s):  
Social Work ◽  
Political Theory ◽  
Pacific Northwest ◽  
Ethic Of Care ◽  
The Political ◽  
Academic Administration ◽  
The Public ◽  
Political Landscape ◽  
The Pacific ◽  
The Impact

This reflexive essay examines the adoption of an intentional ‘ethic of care’ by social work administrators in a large social work school located in the Pacific Northwest. An ethic of care foregrounds networks of human interdependence that collapse the public/private divide. Moreover, rooted in the political theory of recognition, a care ethic responds to crisis by attending to individuals’ uniqueness and ‘whole particularity.’ Foremost, it rejects indifference. Through the personal recollections of one academic administrator, the impact of rejecting indifference in spring term 2020 is described. The essay concludes by linking the rejection of indifference to the national political landscape.

Data centers as the backbone of smart cities: principal considerations for the study of facility costs and benefits

Facilities ◽  
2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Patrick T.I. Lam ◽  
Daniel Lai ◽  
Chi-Kin Leung ◽  
Wenjing Yang
Keyword(s):  
Hong Kong ◽  
Real Estate ◽  
Data Center ◽  
Data Centers ◽  
Smart Cities ◽  
Costs And Benefits ◽  
Content Type ◽  
Cost And Benefit ◽  
Mission Critical ◽  
The Impact

Purpose As smart cities flourish amidst rapid urbanization and information and communication technology development, the demand for building more and more data centers is rising. This paper aims to examine the principal issues and considerations of data center facilities from the cost and benefit dimensions, with an aim to illustrate the approaches for maximizing the net benefits and remain “green.” Design/methodology/approach A comprehensive literature review informs the costs and benefits of data center facilities, and through a case study of a developer in Hong Kong, the significance of real estate costs is demonstrated. Findings Major corporations, establishments and governments need data centers as a mission critical facility to enable countless electronic transactions to take place any minute of the day. Their functional importance ranges from health, transport, payment, etc., all the way to entertainment activities. Some enterprises own them, whilst others use data center services on a co-location basis, in which case data centers are regarded as an investment asset. Real estate costs affect their success to a great extent, as in the case of a metropolitan where land cost forms a substantial part of the overall development cost for data centers. Research limitations/implications As the financial information of data center projects are highly sensitive due to the competitive status of the industry, a full set of numerical data is not available. Instead, the principles for a typical framework are established. Originality/value Data centers are very energy intensive, and their construction is usually fast tracked costing much to build, not to mention the high-value equipment contents housed therein. Their site locations need careful selection due to stability and security concerns. As an essential business continuity tool, the return on investment is a complex consideration, but certainly the potential loss caused by any disruption would be a huge amount. The life cycle cost and benefit considerations are revealed for this type of mission-critical facilities. Externalities are expounded, with emphasis on sustainable issues. The impact of land shortage for data center development is also demonstrated through the case of Hong Kong.

scholarly journals New Data Center Performance Index: Perfect Design Data Center—PDD

Climate ◽  
2020 ◽  
Vol 8 (10) ◽  
pp. 110
Author(s):  
Alexandre F. Santos ◽  
Pedro D. Gaspar ◽  
Heraldo J. L. de Souza
Keyword(s):  
Data Center ◽  
Air Conditioning ◽  
Data Centers ◽  
Current Method ◽  
Energy Usage ◽  
Design Data ◽  
The Difference ◽  
Power Usage Effectiveness ◽  
Approximate Result ◽  
Classification Table

Data Centers (DC) are specific buildings that require large infrastructures to store all the information needed by companies. All data transmitted over the network is stored on CDs. By the end of 2020, Data Centers will grow 53% worldwide. There are methodologies that measure the efficiency of energy consumption. The most used metric is the Power Usage Effectiveness (PUE) index, but it does not fully reflect efficiency. Three DC’s located at the cities of Curitiba, Londrina and Iguaçu Falls (Brazil) with close PUE values, are evaluated in this article using the Energy Usage Effectiveness Design (EUED) index as an alternative to the current method. EUED uses energy as a comparative element in the design phase. Infrastructure consumption is the sum of energy with Heating, Ventilating and Air conditioning (HVAC) equipment, equipment, lighting and others. The EUED values obtained were 1.245 (kWh/yr)/(kWh/yr), 1.313 (kWh/yr)/(kWh/yr) and 1.316 (kWh/yr)/(kWh/yr) to Curitiba, Londrina and Iguaçu Falls, respectively. The difference between the EUED and the PUE Constant External Air Temperature (COA) is 16.87% for Curitiba, 13.33% for Londrina and 13.30% for Iguaçu Falls. The new Perfect Design Data center (PDD) index prioritizes efficiency in increasing order is an easy index to interpret. It is a redefinition of EUED, given by a linear equation, which provides an approximate result and uses a classification table. It is a decision support index for the location of a Data Center in the project phase.

scholarly journals What drives the evolution of hunter–gatherer subsistence technology? A reanalysis of the risk hypothesis with data from the Pacific Northwest

2011 ◽  
Vol 366 (1567) ◽  
pp. 1129-1138 ◽  
Author(s):  
Mark Collard ◽  
Briggs Buchanan ◽  
Jesse Morin ◽  
Andre Costopoulos
Keyword(s):  
Pacific Northwest ◽  
Northwest Coast ◽  
Contact Period ◽  
Hunter Gatherers ◽  
The Pacific ◽  
Wide Range ◽  
Relevant Variables ◽  
The Impact ◽  
The Relationship

Recent studies have suggested that the decisions that hunter–gatherers make about the diversity and complexity of their subsistence toolkits are strongly affected by risk of resource failure. However, the risk proxies and samples employed in these studies are potentially problematic. With this in mind, we retested the risk hypothesis with data from hunter–gatherer populations who lived in the northwest coast and plateau regions of the Pacific Northwest during the early contact period. We focused on these populations partly because the northwest coast and plateau differ in ways that can be expected to lead to differences in risk, and partly because of the availability of data for a wide range of risk-relevant variables. Our analyses suggest that the plateau was a more risky environment than the northwest coast. However, the predicted differences in the number and complexity of the populations' subsistence tools were not observed. The discrepancy between our results and those of previous tests of the risk hypothesis is not due to methodological differences. Rather, it seems to reflect an important but hitherto unappreciated feature of the relationship between risk and toolkit structure, namely that the impact of risk is dependent on the scale of the risk differences among populations.

Predicting the impact of perturbations on salmon (Oncorhynchus spp.) communities: implications for monitoring

2004 ◽  
Vol 61 (7) ◽  
pp. 1166-1175 ◽  
Author(s):  
M R Arkoosh ◽  
L Johnson ◽  
P A Rossignol ◽  
T K Collier
Keyword(s):  
Pacific Northwest ◽  
Anthropogenic Factors ◽  
Valuable Insight ◽  
Community Members ◽  
Contaminant Exposure ◽  
Community Model ◽  
The Pacific ◽  
Chemical Contaminant ◽  
The Impact ◽  
Insight Into

Twenty-six salmon (Oncorhynchus spp.) stocks from the Pacific Northwest are listed as either threatened or endangered. A number of anthropogenic factors, likely including degradation of habitat by chemical contaminant exposure, have contributed to their decline. Techniques that can assess injury or judge the efficacy of regulatory actions on the recovery of this species are needed. We strive to understand why a population is changing by examining changes in their intrinsic birth rates, death rates, and (or) growth rates. However, salmon populations are influenced by other species in the community. To address this issue, we developed a parsimonious three-trophic-level community model consisting of prey, salmon, and parasites and examined the model's response to one anthropogenic factor (contaminant exposure) using qualitative analysis. This community model may not only provide valuable insight into salmon survival but also may broaden the approaches available to elucidate direct and indirect effects. We demonstrate analytically that some community members, possibly salmon themselves, might be ambiguous or unreliable variables to monitor. We also demonstrate that other species in the community, such as parasites, may be more sensitive than salmon in monitoring the influence of anthropogenic factors such as contaminants.

PUGET SOUND FISHERIES AND OIL POLLUTION – A Status Report

1971 ◽  
Vol 1971 (1) ◽  
pp. 139-145
Author(s):  
Robert C. Clark ◽  
John S. Finley
Keyword(s):  
Pacific Northwest ◽  
State Government ◽  
Oil Pollution ◽  
Economic Value ◽  
Puget Sound ◽  
Petroleum Industry ◽  
Status Report ◽  
Research Activities ◽  
The Pacific ◽  
The Impact

ABSTRACT The Greater Puget Sound Basin is one of the largest oil handling areas on the West Coast of North America. Due to the increased local need for petroleum products and to the proposed influx of Alaskan North Slope crude oil in the near future, this area will undoubtedly experience even greater petroleum transportation and processing activities. In terms of living resources of economic value—fish, shellfish, waterfowl and aquatic animals—Puget Sound is one of the most productive estuaries on the Pacific Coast. There is increasing evidence that the extensive sport, commercial and aquacultural fisheries resources are threatened by pollution resulting from oil spilled in the transport, handling, and use of petroleum. This paper presents a stauts report of what is being done in the Pacific Northwest by the petroleum industry, state government and federal agencies to protect the environment prior to the anticipated expansion of the petroleum industry. Research activities which will provide additional information for minimizing the impact of oil pollution on an already pollution-stressed environment are also discussed.

scholarly journals The Effect of Hexazinone, Sulfometuron, Metsulfuron, and Atrazine on the Germination Success of Selected Ceanothus and Rubus Species

2002 ◽  
Vol 17 (4) ◽  
pp. 194-201
Author(s):  
Robin Rose ◽  
J. Scott Ketchum
Keyword(s):  
Pacific Northwest ◽  
Dry Weight ◽  
Efficacy Trial ◽  
Herbicide Application ◽  
The Pacific ◽  
Germination Success ◽  
Rubus Species ◽  
Herbaceous Weed Control ◽  
The Impact ◽  
Germination And Growth

Abstract This study documents the impact pre-emergent forestry herbicides have on germination of some selected seral woody competitors in the Pacific Northwest. Four commonly used pre-emergent soil-active herbicides (hexazinone, sulfometuron, metsulfuron, and atrazine) typically used for herbaceous weed control were applied at six rates over stratified seed of Ceanothus velutinus (CEVE) and Ceanothus integerrimus (CEIN) in a greenhouse efficacy trial. In addition, hexazinone and sulfometuron were applied over stratified Rubus ursinus (RUUR) and Rubus parviflorus (RUPA) seed and sulfometuron over stratified seed of Rubus spectabilis (RUSP) at the same six rates. Numbers of seed to successfully germinate and develop true leaves were counted over a 9 wk period immediately following herbicide application. The hexazinone treatments reduced germination and growth of CEVE, CEIN, and RUPA. The RUUR species was tolerant of the hexazinone herbicide at low rates but at higher rates was strongly affected. The sulfometuron treatments had less effect on survival probability than hexazinone but strongly reduced the average dry weight of plantlets of all species. Seedling dry weight decreased with increasing rate of both metsulfuron and atrazine. Increasing the metsulfuron rate reduced the probability for CEVE seedlings to survive but not CEIN. Finally, atrazine sharply reduced the plantlet survival and reduced dry weight of both CEVE and CEIN even at low rates.West. J. Appl. For. 17(4):194–201.

Efficiency Enhancement Using Cold Storage for Solar Powered Absorption Cooling of Data Centers

2008 ◽  
Author(s):  
Russell Muren ◽  
Van P. Carey
Keyword(s):  
Cold Storage ◽  
Data Center ◽  
Data Centers ◽  
Peak Load ◽  
Coefficient Of Performance ◽  
Cycle Performance ◽  
Absorption Refrigeration ◽  
Absorption Cooling ◽  
Solar Powered ◽  
The Impact

Use of solar powered absorption refrigeration to augment data center afternoon cooling has three advantages: (1) it replaces non-renewable electrically powered cooling with cooling provided by renewable power, (2) it reduces operating costs by reducing consumption of costly peak load electrical power, and (3) use of a carbon free energy source reduces the carbon footprint of the data center. In the investigation summarized here, a computational model of a lithium bromide (LiBr) and water absorption system performance was used to explore the advantages of using nighttime cooling and cold storage to enhance the performance of solar powered absorption refrigeration for peak cooling in data centers. In this study, the model accounts for thermodynamic property effects on the absorption cycle performance and finite heat exchanger effectiveness. The model is used to explore the impact of parametric changes on system coefficient of performance (COP) and system payback. The results indicate that COP enhancements above 15% can be achieved with simple cold storage strategies. The results indicate that that when optimally designed, this type of system achieves energy efficiency, offering environmental and economic advantages that make it an attractive initial step in incorporating solar powered absorption cooling into green data center designs. Strategies for maximizing the positive contributions of cold storage suggested by the results are discussed.

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