EMIS ReportDesign-Prelim 2020sep11 - Page 37



monitoring healthy air quality and supporting building
resilience are becoming increasingly important for
today’s buildings.
Organizations that implement EIS know how
much energy they are consuming (and saving).
Those that implement
The Smart Energy
FDD find operational
Analytics Campaign
improvements they could
data illustrates a
not have detected without
maturing market for
automated analysis. EIS
EMIS, with a wide
and FDD work together
to provide both top-down
range of tools
and bottom-up analysis
being deployed
of a building’s energy
successfully at scale
use and systems, moving
from reactive to proactive building operations that are
continuously informed by analytics.
Taken as a whole, the Smart Energy Analytics
Campaign data illustrates a maturing market for
EMIS, with a wide range of tools being deployed
successfully at scale. Over the past decade EMIS have
moved from being a niche tool with great potential,
to an essential energy management tool for leading
organizations to improve building performance,
enhance occupant comfort, and achieve aggressive
energy savings goals.
Berkeley Lab | Proving the Business Case for Building Analytics
5. A MATURING MARKET FOR ANALYTICS
At $0.06/sq ft, the base cost for FDD software
implementation was six times higher than the EIS
base cost of implementation, and FDD annual
recurring costs ($0.02/sq ft) were double that of
EIS. However, FDD served as more powerful tool,
providing transparency into building performance
datasets and access to actionable information on how
to remedy faults. In-house staff utilized their EIS a
median of one hour per month per building, and their
FDD a median of eight hours per month per building.
FDD implementations have more data streams and
complexity than EIS; therefore, higher costs than
those associated with EIS are expected. This research
showed that implementing EIS or FDD each resulted
in a two-year simple payback period.
Greater transparency into building operations
using robust analytics results in a decision-making
informed by data. There are a variety of successful
approaches (i.e., using an in-house team or a third
party) for utilizing an EMIS to find and fix operational
measures, and any approach requires successful
prioritization and follow-up on analytical findings.
Owners that dedicate adequate staff time to review
the analytics and address the opportunities identified
reap the benefits of their investment. Even beyond the
energy benefits, the non-energy benefits EMIS offer for
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