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(I) HVAC
Management and
Control
70%-%80 HVAC energy
savings
(II) Detailed
Energy
Footprint
Precise energy picture
of the entire building
• Uses existing BMS
• No additional equipment
(including sub-metering)
required
• ONLY access account to the
system to be created
• Completely automatic savings
Smart Locus SaaS
Building
(I) HVAC Management and Control
• Operations and control
only on zone level - NO
central plant operations
• Gradually taking control
of the entire building
zone by zone, over time
• NO risk of affecting
central plant operations
• Granular local comfort
preferences from each
individual
• Granular multiple-
parameter local zone
(VAV) control
Smart Locus
Granular Zone Level Control
Central Plant
Chillers
Boilers
Air Supply Fans
Zones
(Offices)
Multiple
parameter
granular control
Higher zone savings
translate into higher
central plant savings
Building
Data
Building
Control
(II) Detailed Building Footprint
Smart Locus
Database
Building
Data
Interface
Processed data to
present precise
building energy
details Details
Down to the VAV
parameters level
• Historical and real-time
statistics
• Energy measurements
• No sub-meters installation
required
• Energy leaks, abnormal
patterns, and anomalies
location detection
• Commissioning and
recommissioning
Visual RepresentationData Analysis
(I) Cont.
Individual Zone Multi-Parameters Controls
Control
Commands
Sensor
Data
Smart Locus
• Granular individual VAV
control
• Multi-parameters control -
temperature, ducts, air
flow, humidity, and air
volume
• Comfort considerations
• 24 hour adjusted for
changing conditions
• Automatic back end
processing in SL data
center
Zones (Offices)
(I) Cont.
Efficiency While Maintaining Comfort
• Granular individually personalized comfort level
• Based on every person individual preferences the system
establishes the most optimum desired comfort
• Each person individually sets desired comfort parameters
using a phone app or browser based interface into the system
• Loretta
place th
of our c
feedbac
here???
(II) Cont.
Unique flexible and detailed information
Building hardware – sensors, controllers, meters
Visual Representation
• Energy consumption and
heating/cooling load
• Energy comparison per
person/zone/suite/building
• Building and building
components energy
efficiency calculation
• Building component failure
detection and prediction
• Additional BMS settings
recommendations to
further improve efficiency
and manageability
• Complementary to existing
solutions vs compete
Data Analysis
Precise and Granular Building Data
Smart
Locus
Monitoring
Interface
Fundamentally Different New Technology
Control
Interface
Weather
Data
from
Weather
Station
Weather
Interface
Sensor
Data
Interface
Processing
Engine
DatabaseComfort
Interface
Smart Locus
a, pls an
for the
ort app
Visual RepresentationData Analysis
Monitoring
Interface
Other SW
API
• Integration
• Ability to override
settings by building
manager
• Off-line building
simulation means no
occupant discomfort at
all stages of deployment
• Choose to control only
important parameters

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Smart Locus Product Presentation

  • 1. (I) HVAC Management and Control 70%-%80 HVAC energy savings (II) Detailed Energy Footprint Precise energy picture of the entire building • Uses existing BMS • No additional equipment (including sub-metering) required • ONLY access account to the system to be created • Completely automatic savings Smart Locus SaaS
  • 2. Building (I) HVAC Management and Control • Operations and control only on zone level - NO central plant operations • Gradually taking control of the entire building zone by zone, over time • NO risk of affecting central plant operations • Granular local comfort preferences from each individual • Granular multiple- parameter local zone (VAV) control Smart Locus Granular Zone Level Control Central Plant Chillers Boilers Air Supply Fans Zones (Offices) Multiple parameter granular control Higher zone savings translate into higher central plant savings Building Data Building Control
  • 3. (II) Detailed Building Footprint Smart Locus Database Building Data Interface Processed data to present precise building energy details Details Down to the VAV parameters level • Historical and real-time statistics • Energy measurements • No sub-meters installation required • Energy leaks, abnormal patterns, and anomalies location detection • Commissioning and recommissioning Visual RepresentationData Analysis
  • 4. (I) Cont. Individual Zone Multi-Parameters Controls Control Commands Sensor Data Smart Locus • Granular individual VAV control • Multi-parameters control - temperature, ducts, air flow, humidity, and air volume • Comfort considerations • 24 hour adjusted for changing conditions • Automatic back end processing in SL data center Zones (Offices)
  • 5. (I) Cont. Efficiency While Maintaining Comfort • Granular individually personalized comfort level • Based on every person individual preferences the system establishes the most optimum desired comfort • Each person individually sets desired comfort parameters using a phone app or browser based interface into the system • Loretta place th of our c feedbac here???
  • 6. (II) Cont. Unique flexible and detailed information Building hardware – sensors, controllers, meters Visual Representation • Energy consumption and heating/cooling load • Energy comparison per person/zone/suite/building • Building and building components energy efficiency calculation • Building component failure detection and prediction • Additional BMS settings recommendations to further improve efficiency and manageability • Complementary to existing solutions vs compete Data Analysis Precise and Granular Building Data Smart Locus Monitoring Interface
  • 7. Fundamentally Different New Technology Control Interface Weather Data from Weather Station Weather Interface Sensor Data Interface Processing Engine DatabaseComfort Interface Smart Locus a, pls an for the ort app Visual RepresentationData Analysis Monitoring Interface Other SW API • Integration • Ability to override settings by building manager • Off-line building simulation means no occupant discomfort at all stages of deployment • Choose to control only important parameters