| dc.description.abstract | In traditional data centers, the emphasis has always been placed on the availability of physical spaces without planning for future technology integrations and requirement growths. A common scenario is that, in a limited space, more and more servers and equipment were installed as the need of information processing increased, and the new application systems developed. As a result, the services offered have grown rapidly and become more perplexed both in numbers and types.
To support the growth in requirements, equipment, such as servers and data storage devices, has multiplied in numbers. Therefore, many data centers experience the so called “machine-infested” phenomenon. These data centers have not only faced the basic operation bottlenecks such as electricity, air-conditioning, and networking, but have also faced with the increasing tangible and intangible costs in energy waste and management.
This study attempted to design a new energy saving and efficient data center. It adopted TileFlow™ CFD, a software tool for stimulating cooling performance of data centers. First of all, it analyzed the environment in the current center and compares with the scenario set in the stimulation to find the closet parameters. Then, it applied this set of parameters to the new to-be-built data center. It then calculated the efficiency of data center performance with the stimulated hypothesis and provided the equipment setup parameters. This study also proposed coupling features for new data center.
A high efficient data center focuses not only on maximizing its performance but also on minimizing its cost. When designing a high efficient data center, the key factors include but not limited to agility, automation, security, and service level. The capability of integrating new technology applications is also an important component. Since there is currently no formal law regulating data center management, the common practice in the industry is to follow related international standards as a basis when designing data centers. The general adopted international standards include TIA-942, Uptime Institute, TGG, and ASHERA. These guidelines provide a set of sound measurements to business in increasing its competitiveness in the industry.
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