OPTIMIZATION OF PAU ITB DATA CENTER COOLING SYSTEM
Data center is a facility that consume a lot of energy. From total energy used, IT equipment as its major component consume energy by 50%, and cooling system by 37%. There are various strategies to improve the efficiency of the cooling system in order to save energy consumption. Data center opera...
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id-itb.:449162019-11-13T10:27:47ZOPTIMIZATION OF PAU ITB DATA CENTER COOLING SYSTEM Ridlo Iqbal Mukaffi, Akhmad Teknik (Rekayasa, enjinering dan kegiatan berkaitan) Indonesia Final Project Data center, cooling system, energy efficiency,Rack Cooling Index, Power Usage Effectiveness, Computational Fluid Dynamics INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/44916 Data center is a facility that consume a lot of energy. From total energy used, IT equipment as its major component consume energy by 50%, and cooling system by 37%. There are various strategies to improve the efficiency of the cooling system in order to save energy consumption. Data center operates continuously so that the potential of disturbance and shut down due to overheating should be avoided. Optimization is performed by using the Computational Fluid Dynamics (CFD) simulation. Assessment of PAU data center shows that the metric RCI is 100% and the metric PUE is 2,04. The simulation results indicate the presence of mixing between hot air and cold air and cause less efficient of the cooling process. Optimization is carried out by adding blanking panels, cold aisle containment, and changing the layout of the component and shelves. The result show that the value of RCI achieved at 100% for RCIhigh and 99% for RCIlow. Meanwhile, the PUE value is reduced to 1,92. The energy used for cooling system is also reduced by 1,28 kW. text |
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Teknik (Rekayasa, enjinering dan kegiatan berkaitan) Ridlo Iqbal Mukaffi, Akhmad OPTIMIZATION OF PAU ITB DATA CENTER COOLING SYSTEM |
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Data center is a facility that consume a lot of energy. From total energy used, IT
equipment as its major component consume energy by 50%, and cooling system
by 37%. There are various strategies to improve the efficiency of the cooling
system in order to save energy consumption. Data center operates continuously so
that the potential of disturbance and shut down due to overheating should be
avoided. Optimization is performed by using the Computational Fluid Dynamics
(CFD) simulation. Assessment of PAU data center shows that the metric RCI is
100% and the metric PUE is 2,04.
The simulation results indicate the presence of mixing between hot air and cold air
and cause less efficient of the cooling process. Optimization is carried out by
adding blanking panels, cold aisle containment, and changing the layout of the
component and shelves. The result show that the value of RCI achieved at 100%
for RCIhigh and 99% for RCIlow. Meanwhile, the PUE value is reduced to 1,92.
The energy used for cooling system is also reduced by 1,28 kW. |
format |
Final Project |
author |
Ridlo Iqbal Mukaffi, Akhmad |
author_facet |
Ridlo Iqbal Mukaffi, Akhmad |
author_sort |
Ridlo Iqbal Mukaffi, Akhmad |
title |
OPTIMIZATION OF PAU ITB DATA CENTER COOLING SYSTEM |
title_short |
OPTIMIZATION OF PAU ITB DATA CENTER COOLING SYSTEM |
title_full |
OPTIMIZATION OF PAU ITB DATA CENTER COOLING SYSTEM |
title_fullStr |
OPTIMIZATION OF PAU ITB DATA CENTER COOLING SYSTEM |
title_full_unstemmed |
OPTIMIZATION OF PAU ITB DATA CENTER COOLING SYSTEM |
title_sort |
optimization of pau itb data center cooling system |
url |
https://digilib.itb.ac.id/gdl/view/44916 |
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