Factors Which Affect Efficiency of Data Center

Factors Those Affect Efficiency of Data Center can be the bottleneck to the maximum output making the ROI towards the worse side as the final outcome. There are various parameters to determine the efficiency of a data center. Many third parties provides excellent services to find out some of these factors those affect efficiency of particular Data Center. Needless to say, they are not very cost effective and bears no warranty to point towards the right way.

 

Factors Those Affect Efficiency of Data Center Should Be Evaluated By The Owner Group First

 

This is true that the Third parties can find out some of these factors those affect efficiency of particular Data Center, but in case of already badly performing data center or a datacenter that is on sale either directly or via auction, it is not very cost effective quick way to use the services. An overview of the major points not only save the money for some time and helps to decide, but also, for future these information becomes more helpful for the third parties as well.

 

Factors Those Affect Efficiency of Data Center

 

The location of the data center is the single most important aspect, also the calculation of the costs is involved for the best result. Certainly selecting the location which are physically safer is an important aspect. The accessibility and reliability of the electrical and communications as well as the cost of using energy, water and bandwidth are critical, then the other aspects, however are as important as the temperature of the place and the presence of sources of natural cooling.

The energy efficiency of each data center will be directly affected by the percentage of actual load, compared to the planned capacity. The lower is the use the lower is the efficiency. If the site is not heavily loaded for the first year, we should consider a modular design to mitigate the impact of under-utilization. In addition, most of the data center never operates at 100% load capacity, primarily to ensure the reliability of the equipment and also not to penalize the uptime. Systems typically operate at no more than 80 to 85% of maximum rates planned before and they are considered fully exploited. This is a necessary and prudent compromise in the trade-off between reliability and energy efficiency.
 

 
When we decide the planned capacity for the data center, there are many contributing factors that influence these decisions. The fear of making it too small leads to have space or enough energy in a few years; is a realistic scenario, compounded by the fact that the growth in demand for computing power and power density have made many data centers to seek additional space or additional power supply. On the contrary choose size in excess mitigate this risk, but will go against energy efficiency.

In the presence of these risks it may be convenient to adopt a modular design. Capacity planning and modular design can help to mitigate the risk of capacity or functional obsolescence. In some designs the total space and the ability are designed and manufactured in advance, but only individual sections are fully equipped with UPS, generators and cooling equipment, with a strategy that allows us to save capital and maintenance costs. It also helps to improve energy efficiency at every stage, as smaller sections are more occupied and operate at higher efficiency. The modular design also allows planned expansions, without compromising energy efficiency due to the under-utilization.

In addition to good design and construction of data centers, also good control and maintenance of equipment are involved with it. Today, among the targets, avoiding the faults is also falls under the energy efficiency requirements for each component. This is true in particular for the cooling systems, whose efficiency and effectiveness decreases rapidly if the filters become clogged and the cooling tower are often not cleaned.

Tagged With how can efficiency data affect how something is made in the industry , how cfm affects cost in a data center , what factor can affect data , what factors affect the efficiency of a winch

This Article Has Been Shared 575 Times!

Facebook Twitter Pinterest