Panduit N8512B 用户手册

• Inlet temperatures

• ΔT across heat exchanger

• Capacity utilization

• Inlet temperatures

• Set points

• Hot air/cold air leakage and recirculation

• Server/CRAH fan speeds

• kW per cabinet density

• Seal every gap for complete separation 
   of cooling and exhaust air

• Direct cold air to where it needs to go 

• Contain cooling and exhaust air for     

maximum cooling capacity effi ciency

• Monitor to maintain operational and
   energy effi ciency

Reduce Operational Costs, Improve  
Capacity Utilization, and Lower 
Power Usage Effectiveness (PUE)*

Driven by explosive data processing growth, Data Center Managers face multiple, 
competing demands: reducing operational costs, improving energy effi ciency, 
and optimizing available capacity, while sustaining a low total cost of ownership.   

To meet these demands while minimizing the risk to service levels, the available 
data center space is often underutilized while being overprovisioned with excess 
power and cooling capacity regardless of actual IT equipment and space utilization. 
Today, a typical data center consumes about 3-5kW per cabinet due to power and 
cooling concerns, while the available cabinet space can accommodate 15kW or 
more per cabinet if managed effectively.

As energy and construction costs continue to rise, over-provisioning and 
under-utilization are no longer sustainable. Energy costs related to cooling account 
for approximately 37% of the overall data center power consumption

1

 and are 

one of the fastest rising data center operational costs

2

.  

 

Power and cooling capacity remain the top targets for effi ciency improvement and 

optimization of cooling capacity is often the simplest way for data center operators 

to realize short term savings and directly impact PUE

3

.

Panduit Labs research confi rms that raising the supply air temperature in a data 

center is one of the most effective means to reduce energy consumption. In addition, 

higher return temperatures enable a higher CRAH ΔT across the heat exchangers 

allowing the cooling system to operate more effi ciently. 

A key way to realize this energy effi ciency potential  and enable maximum capacity 

utilization is to eliminate the mixing of cold and hot air within the cabinet and at the 

room level delivering higher return air temperatures to the cooling system and 

allowing higher room set points.

2

A key way to realize this energy efficiency potential and enable maximum capacity

Average data center energy usage allocation

1

*Power Usage Effectiveness – a metric used to measure how effectively input power is used. It is expressed as a ratio of 
power available to power used.
1 Average Data Center Energy Usage Allocation , Lawrence Berkeley National Laboratory 2007
2 451 Research has published 'Highly Energy-Effi cient Datacenters in Practice,' October 2012
3 How To Measure Energy Consumption In Your Data Center, Gartner Core RAS Research Note G00205428, 8 September 2010 
4 Design Considerations for Datacom Equipment Centers ASHRAE 2005, ISBN 1-931862-94-X. Page 138