Jiaqi Liang, P.E., C.E.M., C.M.V.P.
Track G | High Performance Buildings & Communities
Optimizing data center energy efficiency is often overlooked by small to mid-sized data center (typically less than 1 MW) operators, which often leads to higher than normal system operational costs. Even though the majority of data centers range from small server rooms to mid-sized data centers, the aging equipment, oversized cooling system, underutilized space, and a lack of sub-metering systems create bottlenecks to improve operations. In addition, the growing demands for big data deployments are constantly being challenged due to existing data centers’ limitations on redundancy, reliability, and flexibility for future expansions.
Utility companies and policy makers have designed, developed and implemented data center energy efficiency incentive programs to resolve this issue over the past several years. However, it is observed that small to mid-sized data centers have a relatively low participation rate in the utility programs when compared to other market segments.
This paper studies healthcare-sector data centers as examples, evaluates the causes and consequences of lower participation to help optimize the data center design and operations. By leveraging successful past experiences in running multiple energy efficiency programs across the country, this paper will analyze unique features of small to mid-sized data centers, but not limited to, system size, typical energy-conservation measures, energy performance benchmarking and discuss guidelines to aid in the decision-making process. This paper presents a sample case for a small to mid-sized data center for a hospital system.
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