Home > Benchmarking > Metrics

Benchmarking

Metrics

Self-benchmarking

Case Studies

Lawrence Berkeley National Laboratory

Metrics

"Miles per gallon", "dollars per pound", "income per capita", ... metrics are part of every day life and conversation. Metrics enable evaluation, and evaluation enables decision-making. Business executives often say that "you can't manage what you don't measure." [download] There is no single correct metric. The appropriate choice of metric depends on the intended use.

For data centers, metrics can be physical (e.g. energy use per unit floor area) or economic (e.g. energy costs per unit floor area). They can apply to the whole-facility, a system, subsystem, or single component. As discussed elsewhere in this site, design intent documentation is enhanced by the assignment of metrics that help validate whether or not a best practice has in fact achieved its intended goal. Examples follow:

Whole-Building Metrics

System Metrics

Component Metrics