1) Powerful analysis tools that:
· Easily allow for comparisons of a facility against its peers to determine
which facilities are consuming excessive quantities of utilities. For example,
compare metered electricity consumption at barracks with all other metered barracks at the site.
· Allow for year-over-year consumption comparisons that meet a certain criteria. For example, create a list of all buildings at the installation where building electricity
consumption in FY 2004 was 50% greater than consumption in FY 2003.
· Rank all metered facilities at the installation with regards to utility consumption
(get that top ten utility consumer list).
· Allow for comparisons of metered usage to calculated usage that meet a certain
criteria. If metered usage is much higher than calculated usage, then the facility
should be placed on a ‘hit list’. If metered usage is much lower,
then perhaps the meter(s) is broken, which negatively impacts dollar reimbursements.
· Allow for the categorization of installation facilities by facility type and
related energy usage regardless of whether or not the installation is metered. For
example, a base may have laboratory facilities that comprise 25% of the facility area but consume 40% of the electricity. At another installation, family housing may comprise 50% of the facility area and
consume 40% of the utilities.
· Allow for modeling of energy consumption at an installation. For example,
estimate the impact on utility consumption of installing air conditioning at an entire installation or just at a single facility.
· Allow for the creation of an audit/project ‘hit list’ of facilities
found to be major energy consumers based on the analyses methods discussed above.
2) Comparisons of facility annual utility consumption with consumption calculated
using military handbooks (based on geographical location). SABER cross-references facility consumption with utility studies
on typical energy use intensities for a facility type. The ability to calculate
utility and water consumption is particularly useful for the following reasons:
· It provides a method for estimating utility consumption in facilities that
are not metered. Estimates are based on facility type (warehouse, BQ, office, shop, laboratory, family housing, hospital,
dining, grocery, etc.), facility area and local weather patterns.
· It provides a method for estimating utility consumption at smaller installations
where none of the facilities are metered.
· It provides a means for estimating which facility types consume the most utilities
at a site (example: an actual analysis has shown that at one particular site,
which is only 20% metered, buildings of type ‘laboratory’ consume almost 50% of the energy but comprise only 25%
of the area).
· It provides a method for apportioning utility consumption to multiple buildings
tied to a single meter.