100%

EMIS ReportDesign-Prelim 2020sep11 - Flipbook - Page 15

As new participants join the program and existing
participants continue their EMIS implementation, new
data are added, and the research results are updated
each year. Almost all participants implemented
or planned to implement EIS or FDD. While two
participants with ASO are in the study cohort, there
are not enough data to report savings and costs for
this technology.
2.1 Energy Savings
To understand energy and cost savings benefits
achieved by owners using EMIS technologies,
participants are asked to provide annual energy
consumption before and after EMIS implementation.
These energy savings achievements are attributable
to several energy efficiency activities including, but
not limited to, use of the EMIS. Participants provide
data only for buildings with active use of EMIS.
Energy savings achieved since EMIS installation are
determined in four ways.

analysis approach for estimating energy savings
may use BAS trends or short-term measurements
as baseline data. Spreadsheet calculations are
based on engineering equations that often utilize
temperature or load-based bin analysis.

BUILDING ENERGY SIMULATION: Modeling
whole facility energy use is a system analysis
approach that uses energy simulation software such
as eQUEST, EnergyPlus, Trane TRACE, or Carrier HAP.
2.2 Costs
Costs to implement an EMIS and perform MBCx are
gathered from participants in the three categories
shown below: base cost, recurring EMIS cost, and
in-house labor cost. Cost data are provided by
participants in dollars for the base cost and annual
software cost, and then normalized by floor area.
Technology and measure identification costs:

BASE COST: Costs for the EMIS software
installation and configuration, including EMIS vendor
and service provider costs. They do not include
additional costs such as the cost of energy metering
hardware and communications, adding points to the
BAS for EMIS monitoring purposes, additional data
servers, retrocommissioning, or retrofits.
INTERVAL DATA ANALYSIS: Pre-EMIS (baseline
year) interval data are used to develop a model of
building energy use. Energy use is projected using
the baseline model and compared with actual
energy use during the period after installing EMIS.
This method utilizes the International Performance
Measurement and Verification Protocol (IPMVP)
Option C methodology.
ENGINEERING CALCULATIONS: This system

RECURRING EMIS COST: Annual recurring costs
broken out into two categories: software cost
and MBCx service provider cost. These costs are
generally incurred starting immediately after system
implementation is complete.

ANNUAL ENERGY USE ANALYSIS: Pre-EMIS
(baseline year) energy use is compared to the most
recent full year of energy use. Energy cost savings
are calculated using national average energy prices.
Sometimes the data are normalized for weather
using ENERGY STAR Portfolio Manager. When the
participant uses ENERGY STAR Portfolio Manager for
their buildings with EMIS, data was gathered through
standard ENERGY STAR reports with weathernormalized energy usage. If participants do not utilize
ENERGY STAR Portfolio Manager, then the change in
energy use was not weather-normalized.
2. METHODOLOGY
support. The information gained from these activities
has been used to categorize EMIS implementations
and determine the barriers and enablers to
successfully implementing EMIS.
ANNUAL SOFTWARE COST: The recurring
annual cost for a software license or software-as-aservice fees.

ONGOING MBCX SERVICE PROVIDER COST:
The average annual cost to MBCx service providers
or other consultants for support in analyzing and
implementing EMIS findings.

IN-HOUSE LABOR COST: Labor costs are
broken out into the categories or EMIS installation/
configuration and ongoing EMIS use. In-house labor
costs are reported both in hours and estimated cost.
The labor cost estimate is determined using the
reported hours utilizing the EMIS and $125/hour as
an average labor rate.
Berkeley Lab | Proving the Business Case for Building Analytics
13