Automatic generation of energy conservation measures in buildings using genetic algorithms

2011 ◽  
Vol 43 (10) ◽  
pp. 2718-2726 ◽  
Author(s):  
V. Siddharth ◽  
P.V. Ramakrishna ◽  
T. Geetha ◽  
Anand Sivasubramaniam
2022 ◽  
pp. 225-238
Author(s):  
D. Bienvenido-Huertas ◽  
K. Berti ◽  
E. Delgado-Gutierrez ◽  
D. Sánchez-García ◽  
D. Marín-García

Author(s):  
Kyosung Choo ◽  
Renan Manozzo Galante ◽  
Michael Ohadi

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.


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