EMIS ReportDesign-Prelim 2020sep11 - Flipbook - Page 10
Data
Sources
Data
Warehouse
EMIS Capabilities
Utility
Bills
Monthly Data Analytics
Interval
Meters
Energy Information System
• Interval Meter Data Analytics
• Advanced M&V
(Measurement and Verification)
Weather
Stations
Building
Automation
System (BAS)
1. INTRODUCTION & BACKGROUND
FIGURE 1: Energy Management and Information Systems (EMIS) Framework
Fault Detection and Diagnostics
IoT
Devices
Automated System Optimization
Distributed
Energy
Resources
(Granderson et al. 2015). Figure 1 describes a
framework for classifying EMIS functionality. An EMIS
product potentially will have capabilities in multiple
categories and accept a wide range of data inputs.
The data warehouse may be hosted in the cloud or
on-premise.
While monthly data analytics, which includes bill
management software is classified as the first tier of
EMIS, this paper is focused on the more advanced
EMIS as the industry moves toward in-depth analytics.
BAS are used to control building heating, ventilation,
and air-conditioning (HVAC) systems, and in some
cases, building lighting and security systems. The
BAS is excellent at maintaining indoor temperature,
humidity, ventilation, and lighting conditions; however,
BAS often lack the ability to answer questions such as:
how much energy is consumed at different times of the
day? Does the economizer behave appropriately? What
is the optimal air handling unit supply air temperature
setpoint? EMIS tools such as energy information
systems (EIS), fault detection and diagnostics systems
(FDD), and automated system optimization tools
(ASO) supplement the BAS to facilitate analysis and
management of building energy use.
Descriptions of the more in-depth EMIS
technologies that are the focus of this report are as
follows:
ENERGY INFORMATION SYSTEMS / ADVANCED
EIS: The software, data acquisition hardware, and
communication systems used to store, analyze,
and display building energy data. EIS are a subset
of EMIS that are focused on meter-level monitoring
(hourly or more frequent, at whole building or
submeter level). These meter data are not yet
commonly integrated with BAS. Advanced EIS
incorporate automated opportunity analysis that
typically includes predictive energy models using
interval meter data.
FAULT DETECTION AND DIAGNOSTIC
SYSTEMS: Software that automates the process
of detecting faults and suboptimal performance
of building systems and helps to diagnose their
potential causes. FDD are a subset of EMIS that
Berkeley Lab | Proving the Business Case for Building Analytics
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