EMIS ReportDesign-Prelim 2020sep11 - Page 6



40%
30%
27%
22%
20%
13%
10%
6%
9%
EXECUTIVE SUMMARY
FIGURE ES-2: Percent change in Smart Energy Analytics Campaign participant
energy use, relative to the year before FDD installation (n = 28 in Year 1).
0%
Individual organizations’ consumption change
–10%
–20%
Median values
2
2
3
4
5
6
Post-installation year (FDD)
savings are projected to be 4.1 TBtu and $95 million
once EMIS use is established for all organizations.
Further, these savings are expected to be maintained
or increase in subsequent years as additional
opportunities are uncovered. (See Figure ES-2).
These savings demonstrate the reduction in energy
use achieved at buildings that are utilizing EMIS.
However, the savings cannot be attributed solely to the
operational improvements achieved with the support
of the EMIS, since energy savings are determined at
the whole building level, and other energy-impacting
projects may be occurring simultaneously. The
types of operational improvements executed with
the help of EMIS were largely as expected, and are
common to traditional existing building commissioning
(EBCx) practices; improved HVAC scheduling,
space temperature adjustments, and addressing
simultaneous heating and cooling were the top
three improvement measures reported by Campaign
participants. In contrast with EBCx, however, long-term
EMIS users are able to look deeper with automated
analytics, enacting more sophisticated control routines
and analyzing hundreds of HVAC system components
simultaneously in ways that are impossible with
manual analysis.
Subhead Goes Here
With cost reporting from 72 participants, median
costs and resource requirements by EMIS type are
as follows:
EIS: Software installation and configuration is
$0.01/sq. ft., annual recurring software cost is
$0.01/sq. ft., and the annual in-house labor is one
hour per month per building.

FDD: Software installation and configuration is
$0.06/sq ft, the annual recurring software cost is
$0.02/sq. ft., and the annual in-house labor is
8 hours per month per building.
Berkeley Lab | Proving the Business Case for Building Analytics
4





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