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Παπαδόπουλος Άρης
Πρόεδρος & ΔΣ
arpap@zeb.gr
www.zeb.gr
Building efficiency services & ICT
environment
Building Efficiency
Services
and ICT
Environment
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
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
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
How can we
better manage
our operational
costs?
How can we
minimize our
energy
spending?
How can we
share our
results with
building
occupants?
Unrestricted © Siemens Switzerland Ltd 2018
July 2018 Author/Department
Page 6 6
Building efficiency services & ICT environment
Data Connectivity
Building efficiency services & ICT environment
IEEE : Institute of Electrical and Electronics Engineers
8
Building efficiency services & ICT environment
How Artificial Intelligence puts
the ‘smart’ in smart buildings
Building efficiency services & ICT environment
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
OSI (Open Systems Interconnection)
11
Building efficiency services & ICT environment
12
Building efficiency services & ICT environment
• 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
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
15
Building efficiency services & ICT environment
NBIoT Energy metering Example 1
• Continuous Improvement
• Proactive Maintenance
• Occupant Comfort
• Real-Time Alerts
16
Building efficiency services & ICT environment
Cloud-Based Building Management System
Example 2
17
Building efficiency services & ICT environment
18
Building efficiency services & ICT environment
19
Building efficiency services & ICT environment
20
2015 ASHRAE HANDBOOK: HVAC Applications
Building efficiency services & ICT environment
CloudFIMs
Facility Improvement
Measures
Building efficiency services & ICT environment
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
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
24
2015 ASHRAE HANDBOOK: HVAC Applications
Building efficiency services & ICT environment
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
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
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
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
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
The future
Progress is now accelerating by pairing technology and
analytics with building experts and service.
Building efficiency services & ICT environment

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Building efficiency services & ICT.pdf

  • 1. Παπαδόπουλος Άρης Πρόεδρος & ΔΣ arpap@zeb.gr www.zeb.gr Building efficiency services & ICT environment
  • 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
  • 6. How can we better manage our operational costs? How can we minimize our energy spending? How can we share our results with building occupants? Unrestricted © Siemens Switzerland Ltd 2018 July 2018 Author/Department Page 6 6 Building efficiency services & ICT environment
  • 7. Data Connectivity 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
  • 12. 12 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
  • 15. 15 Building efficiency services & ICT environment NBIoT Energy metering Example 1
  • 16. • Continuous Improvement • Proactive Maintenance • Occupant Comfort • Real-Time Alerts 16 Building efficiency services & ICT environment Cloud-Based Building Management System Example 2
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  • 20. 20 2015 ASHRAE HANDBOOK: HVAC Applications 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
  • 24. 24 2015 ASHRAE HANDBOOK: HVAC Applications Building efficiency services & ICT environment
  • 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