Self-benchmarking Guide for Data Centers: Metrics, Benchmarks, Actions

Mathew, Paul ; Ganguly, Srirupa ; Greenberg, Steve ; Sartor, Dale

Lawrence Berkeley National Laboratory

关键词: 32;    Personnel;    Construction;    Energy Efficiency;    Consultants;   

DOI  :  10.2172/983248
RP-ID  :  LBNL-3393E
RP-ID  :  DE-AC02-05CH11231
RP-ID  :  983248

美国|英语

来源: UNT Digital Library

【 摘 要 】

This guide describes energy efficiency metrics and benchmarks that can be used to track the performance of and identify potential opportunities to reduce energy use in data centers. This guide is primarily intended for personnel who have responsibility for managing energy use in existing data centers - including facilities managers, energy managers, and their engineering consultants. Additionally, data center designers may also use the metrics and benchmarks described in this guide for goal-setting in new construction or major renovation. This guide provides the following information: (1) A step-by-step outline of the benchmarking process. (2) A set of performance metrics for the whole building as well as individual systems. For each metric, the guide provides a definition, performance benchmarks, and potential actions that can be inferred from evaluating this metric. (3) A list and descriptions of the data required for computing the metrics. This guide is complemented by spreadsheet templates for data collection and for computing the benchmarking metrics. This guide builds on prior data center benchmarking studies supported by the California Energy Commission. Much of the benchmarking data are drawn from the LBNL data center benchmarking database that was developed from these studies. Additional benchmark data were obtained from engineering experts including facility designers and energy managers. This guide also builds on recent research supported by the U.S. Department of Energy's Save Energy Now program.