Energy Conservation Measures of a Primary Data Center on an Academic Campus

2013 ◽  
Author(s):  
Kyosung Choo ◽  
Renan Manozzo Galante ◽  
Michael Ohadi
Keyword(s):  
Energy Conservation ◽  
Data Center ◽  
Power Saving ◽  
Primary Data ◽  
University Of Maryland ◽  
Conservation Measures ◽  
Air Temperatures ◽  
Cold Aisle Containment ◽  
The University ◽  
Energy Conservation Measures

Energy Conservation Measures (ECMs) of the primary data center at the University of Maryland are developed. Measurement and simulation are performed to validate the developed ECMs. Three ECMs — 1) Increase in the return temperature at Computer Room Air Conditionings (CRACs) 2) Cold aisle containment 3) Elimination of unnecessary CRACs — are suggested to reduce energy consumption by optimizing the thermo-fluid flow in the data center. Power savings of 12.7 kW – 17.4 kW and 14.1 kW are obtained by increasing the return air temperatures at the CRACs and performing the cold aisle containment, respectively. In addition, a power saving of 11.2 kW is obtained by turning off CRACs 3 and 8 which have an adverse effect on the data center cooling.

scholarly journals Energy Conservation Measures for a Research Data Center in an Academic Campus

Energies ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2820
Author(s):  
Khaled Iyad Alsharif ◽  
Aspen Glaspell ◽  
Kyosung Choo
Keyword(s):  
Energy Consumption ◽  
Energy Conservation ◽  
Data Center ◽  
Temperature Increase ◽  
Air Conditioning ◽  
Research Data ◽  
System Failure ◽  
Conservation Measures ◽  
Failure Scenario ◽  
Energy Conservation Measures

Simulation and experimental studies were conducted to investigate energy consumption, develop ECMs (Energy Conservation Measures), and analyze temperature increase under a power failure scenario for a research data center at Youngstown State University. Two ECMs were developed to improve energy consumption by analyzing the thermal performance of the data center: (1) increase the return temperature in air conditioning vents; (2) provide cold aisle containment with the set point temperature increase. A transient analysis was conducted under a cooling system failure scenario to predict the temperature variation over time. The results suggest that it takes 600 s to increase the server inlet temperature by 16.1 °C for the baseline model. In addition, in the ECM #2, the maximum temperature at the server inlet did not reach 40 C under the air conditioning system failure scenario, which is the maximum operating temperature of the ASHRAE A3 envelop.

Analysing the Effectiveness of the Energy Conservation Measures to Reduce Energy Poverty Cases in the Southern Regions of Spain

2022 ◽  
pp. 225-238
Author(s):  
D. Bienvenido-Huertas ◽  
K. Berti ◽  
E. Delgado-Gutierrez ◽  
D. Sánchez-García ◽  
D. Marín-García
Keyword(s):  
Energy Conservation ◽  
Energy Poverty ◽  
Conservation Measures ◽  
Energy Conservation Measures
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