3. The building efficiency imperative
41%
buildings’ share
of global emissions
CO2 31% industry
28% mobility
Up to
80%
of building costs
come from
operations
30%
maintenance
40% energy
Meeting the new types
of competitive
disruption demands
new cost
efficiencies and a
greener market image
Volatile energy prices
drive new
requirements
in strategic energy
procurement
Increasing cost
pressures demand
optimized energy
procurement, energy
efficiency and
consumption control
Increasing environmental
and non - financial
reporting regulations
demand new capabilities
in energy efficiency and
carbon management
Real estate is often
the 2nd largest expense
on organizations’ income
statement
500
climate laws
passed in 66 of
the world’s largest
emitting countries
50%
of the energy
consumed by
buildings
is wasted
3
Building efficiency services & ICT environment
4. They consume
40%
of all energy
They use
25%
of all water
Sources: CommScope/IDC Energy Insights, Business Strategy: Global Smart Building Technology Spending 2015 –
2019 Forecast Intel, Smarter Building & Homes With the Internet of Things
They emit
33%
of all green-house gases
CO2
The global impact of buildings
4
Building efficiency services & ICT environment
5. Growing reliance on
OPEX for infrastructure
upgrades
Demanding employee
expectations of
workplace
Emerging technologies
becoming viable quickly
Sustainability targets are
expanding
Evolving safety and
cyber-security needs
Aging in-house
workforces and skill set
gaps
The evolution of business
expectations
5
Building efficiency services & ICT environment
8. IEEE : Institute of Electrical and Electronics Engineers
8
Building efficiency services & ICT environment
9. How Artificial Intelligence puts
the ‘smart’ in smart buildings
Building efficiency services & ICT environment
10. ARTIFICIAL INTELLIGENCE (AI) :
BASIC BUILDING BLOCKS
• 1. MACHINE LEARNING
Machine learning is an application of artificial intelligence (AI) that provides systems the
ability to automatically learn and improve from experience without being explicitly
programmed. The primary aim is to allow the computers learn automatically without human
intervention or assistance and adjust actions accordingly.
• 2. DEEP LEARNING
Deep learning is a type of machine learning that trains a computer to perform human-like
tasks, such as recognizing speech, identifying images or making predictions. Instead of
organizing data to run through predefined equations, deep learning sets up basic parameters
about the data and trains the computer to learn on its own by recognizing patterns using
many layers of processing.
• 3. NATURAL LANGUAGE PROCESSING
Natural Language Processing (NLP) is a key building block that will help computers learn,
analyze, and understand human language
• 4. NATURAL LANGUAGE GENERATION
Natural language generation (NLG) is the use of artificial intelligence (AI) programming to
produce written or spoken narrative from a dataset
5. VISUAL RECOGNITION
Image recognition is used to perform a large number of machine-based visual tasks, such as
labeling the content of images with meta-tags, performing image content search and guiding
autonomous robots, self-driving cars and accident avoidance systems.
Building efficiency services & ICT environment
11. OSI (Open Systems Interconnection)
11
Building efficiency services & ICT environment
13. • Energy management services
• Reporting, alarms, self learning, analytics
• Smart energy services
Service
Layer
• Sensors configuration
• Real time measurement
• Control
Control
Layer
• Data aggregation G/W
• ZigBee,
• Mobile & Fixed BB
• m2m modules
Communication
Layer
• Smart plugs, smart electricity
submeters, thermostats, cameras,
motion detectors, door/window
sensors
• Smoke detectors, CO sensors,
flood sensors, etc
Smart Sensors Layer
13
Building efficiency services & ICT environment
14. Data Connectivity Technologies
Field Device Level
(Meters, sensors, actuators,
IoT Devices, etc.)
Subsystem and
Automation Level
Management Level
Data Flow to/From the cloud
Cloud Level
Secure communication
REST API
Data
Services
App
BMS
BacNET Monitor
Software Proxy
PX Meter Box
Mind
Connect
Nano
14
Building efficiency services & ICT environment
22. 100%
60%
30%
Why is Energy and Asset
Efficiency important?
Energy efficiency
40
%
Up to 40%
of total costs of operations are related to
energy
Up to 30%
of total costs of operations are related to
maintenance
30
%
Asset efficiency
Total cost of
operation
22
Building efficiency services & ICT environment
23. 23
2015 ASHRAE HANDBOOK: HVAC Applications
Building efficiency services & ICT environment
AFDD is an automatic process by which faulty operation, degraded performance,
and failed components are detected and understood. The primary objective is
early detection of fault and diagnosis of their causes, enabling correction of the
faults before additional damage to the system, loss of service, or excessive energy
use and cost result. This is accomplished by continuously monitoring the
operation of a system, using AFDD processes to detect and diagnose abnormal
conditions and the faults associated with them, then evaluating the significance of
the detected faults and deciding how to respond. For example, the temperature
of the supply air provided by air-handing unit (AHU) might be observed to be
chronically higher than its set point during hot weather. This conclusion might be
drawn by a trained analyst visually inspecting a time series plot of the supply air
temperature .Alternatively , a computer algorithm could process there data
continuously ,reach this same conclusion, and report the condition to operators
or interact directly with a computer-based maintained management
system(CMMS) to automatically schedule maintenance or repair services.
CHARTER 61. SMART BUILDING SYSTEMS
25. Results
ü Remote Operational
Changes
ü Proactive Analytics
ü Performance Analysis
ü Energy Savings
ü Low Cost Data
Driven Solution
ü Targeted Maintenance
ü Outcome Based
Program Reporting
CloudFIMs –
Remote Analytics and Services that Drive Results
Services Provided
§ Remote Corrective
Actions – Monthly
§ Targeted Equipment
Deficiency List
§ Quarterly Program Review
Fault Detection and Diagnostics
3 Air Handling Units
1 Boiler
System
1 Chiller System
25
Building efficiency services & ICT environment
26. CloudFIMs –Easily identify issues
that make a difference
Outside air temp sensor
deviation
Determines downstream HVAC systems
operation and schedule
High energy saving depending
on severity and system configuration
Supply air static pressure
reset deviation
Demand based system management
Simultaneous Heating
and Cooling Elimination
Prevention of reheating and re-
cooling the air simultaneously
Boiler Reset Schedule
Deviation
Often changed manually or not
implemented
Supply air temperature reset
schedule deviation
Most commonly manually overridden
parameter
Over Ventilation Prevention
Prevent heating cold outside air for no
reason
Chiller Performance Visibility
Shows chiller plant performance
and identifies a need for a conversation
about our complete chiller optimization
strategy known as Demand Flow
Free cooling not working
Improve economizer mode operation –
use enthalpy based operation instead
of straight dry bulb operation
26
Building efficiency services & ICT environment
27. Digitalization
• Digitalization now not only stretches across the globe
but also across the broad range of building
disciplines and beyond.
• Today, data can be gathered from safety and security
systems, HVAC equipment and controls, energy
efficiency programs together with lighting and
power.
Building efficiency services & ICT environment
28. The new digital world
• Intelligent sensors, actuators and similar devices supply a
wealth of data which until now has mostly been unused.
• Intelligent evaluation using big data applications can now
be used to combine these massive but unstructured
amounts of data into transparent information which in turn
can be feed into linked performance indicators in real time.
• Smart algorithms can easily evaluate trends and recognize
patterns in user behavior or consumption, thereby enabling
informed decisions, predictive strategies and continuous
optimization.
• This, together with sophisticated self-optimization
functions, gives buildings a central nervous system making
them smart.
Building efficiency services & ICT environment
29. Transformation process
in the new digital world
• Building digitisation is here and data can be leveraged to
improve efficiency and drive down costs
• The digital transformation will lead to new and changing
business models
• The software becomes a central factor with openness and
transparency being key. Closed and proprietary systems will
be big losers
• Partnerships between traditional industrial enterprises and
large IT players
• Network of partnerships and alliances, companies are
interconnected in ecosystems but at the same time act as
competitors in the market
Building efficiency services & ICT environment
30. The future
Progress is now accelerating by pairing technology and
analytics with building experts and service.
Building efficiency services & ICT environment