The world’s most advanced
Transcript of The world’s most advanced
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The world’s most advanced
buildings have brains Technology to achieve building performance & sustainability
siemens.com/perfect-places Unrestricted © Siemens 2017
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Unrestricted © Siemens AG
October 2017 Page 2 Building Technologies
Our world is undergoing big changes…
Demographic change
Digital transformation
Climate change
Urbanization
Globalization
Growing importance
of energy efficiency
and sustainability
Higher
innovation
speed
Increased
need for
security
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Unrestricted © Siemens AG
October 2017 Page 3 Building Technologies
Improving building performance is a big lever
for cost saving AND efficiency increase
Real estate is often the
2nd largest expense
on organizations’
income statement
Worldwide buildings
account for
41% of all global
energy demand
Energy costs alone
represent about
30% of an office buildings
total operating costs
In most organizations, the
real estate portfolio is the
3rd most valuable or
expensive single asset
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October 2017 Page 4
Digitalization is impacting all industries
Today data can be turned into value easier than only a few years ago
By 2020 there will be approx.
7 bn connected devices in
buildings globally
Decreasing data
collection costs $500 per 1 m transistors in 1990
$0.05 per 1 m transistors in 2012
Increasing data processing
speed
Digital prototyping
Predictive maintenance Digital Twin
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October 2017 Page 5
Digital services meet the expectations of our customers
Existing services get digitally enhanced…
and new data-driven services are
created by using building data intelligently.
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October 2017 Page 6
Digitalization is here
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Buildings
are talking ...
... we are
listening ...
... and helping you
get ahead of the
competition
400 mio. 600’000 ~75’000
Data values
analysed
per day
Connected
data points
Connected
buildings
Connected base of Siemens Building Technologies
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October 2017 Page 7
Domain expertise
Technology and tools
Building performance
portfolio
Creating perfect places through building data
Safe
Productive
Efficient
Reliable
… is properly applied … … we help create perfect places When the right building data …
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October 2017 Page 8
Creating perfect places through building data
Define Relevant KPI Determine Data Sources 1 2 3 Develop Analysis Strategy
Analytics tools
Frequency of data & reporting
Remote and on-site analysis
Data access management
Physical assets data (static)
• HVAC/security equipment
• Building stock
Performance data (dynamic)
• Energy consumption
• Building automation system
External data
• Weather forecast
• Legislation/Compliance data
Operating cost/unit
Worker satisfaction
CO2 emissions
Employee productivity
… is properly applied … … we help create perfect places When the right building data …
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October 2017 Page 9
Creating perfect places through building data
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Digital Service Center
Data Scientists
Analytics Software
Local Service Organization
Service Managers
Digital Tools
Insights and Implementation
(maintenance, modernization, energy efficiency, security)
Domain
expertise
Technology
and tools
Building
performance
portfolio
$ €
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Analytics
Platform
… is properly applied … When the right building data … … we help create perfect places
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October 2017 Page 10
Creating perfect places through building data
by addressing the entire data value chain
… is properly applied … When the right building data … … we help create perfect places
Data Monitoring
Program Management Building Performance
Optimization
Preliminary Energy Audit
Utility Bill Management
Performance Assurance
Capture data Identify opportunities Take action
Navigator based services (examples):
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October 2017 Page 11
Creating perfect places through building data
Use case #1 – shopping center
Most pressing Issues
One of Scandinavia’s most visited and
most sustainable shopping centers
Solution from Siemens
• Stronger more
profitable business
• Less risk associated
with tenant turn-over
• Improved visitor experience
• Greater sustainability
performance
Tenant satisfaction
and retention
Public perception and
visitor satisfaction
Modernization and
efficiency (€/sqm.)
• Ability to maintain fair and consistent rents
• Safe and comfortable place to work
• Modern and sustainable building
that is easy to promote
• Safe and comfortable place to relax
• Continuous data-based analytics
to identify opportunities
• Projects implemented regularly to reduce OPEX
… is properly applied … When the right building data … … we help create perfect places
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October 2017 Page 12
Creating perfect places through building data
Use case #1 – shopping center
KPIs
• Operational efficiency
• Tenant satisfaction
• Sustainability
Data sources
• Energy and HVAC equipment
• Air quality and temperature sensors
• Occupancy rate and weather data
Actions taken
• Building controls based
on weather forecasts
• Repair of faulty equipment
(i.e. heat recovery units)
• Air flow alterations
1,500 data points
50% reduction in district heating
Domain expertise
• Dedicated on-site energy
and operations manager
• Energy engineers
Technology and tools
• Remote analytics and reporting
Building performance portfolio
• Navigator with Fault Detection and Diagnostics
• Cloud-hosted Desigo CC
€110 k/year in immediate savings
… is properly applied … When the right building data … … we help create perfect places
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October 2017 Page 13
Creating perfect places through building data
Use case #2 – financial institution
… is properly applied … When the right building data … … we help create perfect places
KPIs
• Bottom-line savings
• Sustainability
Data Sources
• HVAC equipment
• Energy meters
Actions taken
• Updated on-site technology
• Monitoring and reporting
• Decision support information
for continuous improvement
• Correction of building controls
21,000 data points
7.7% Annual savings on utility spend
Domain expertise
• Digital service support engineers
• Energy engineers
Technology and tools
• Fault Detection and Diagnostics analytics
Building performance portfolio
• Navigator
• Monitoring and reporting
US$411 k/year In annual cost savings
Example: “Non-
standard power
consumption”
exeeding defined
threshold value 14 mio. data records per week
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October 2017 Page 14
What’s next?
Unrestricted © Siemens AG 2017
April 2017 Page 14
• Artificial intelligence
• Partnership eco-system
• Indoor positioning
• Digital twin
• Software as a Service
Experts acting
quickly
Foresight to predict
maintenance needs
Predictive, simulation-driven
analysis and decision making
Proactively identify faults before
they become bigger issues
Remote
Responsive
Preventive
Condition
based
Predictive
Prescriptive
Depth of data-driven insight
Self-learning and
automated actions Autonomous
Cu
sto
mer
valu
e
Insights based on
system health data
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October 2017 Page 15
With our service platform, we are connecting buildings
and provide digital services based on advanced analytics
Networking
(IoT)
Data collection
and intelligent
evaluation
(big data/
analytics)
• SAP/ERP
• Weather
• etc.
Building management system Other technical systems
Navigator Service portal
Sales, operation,
service, BA
Customer Service technician,
energy engineers
Customer
Connectivity
Advanced Service
Center (ASC)
Siemens Service Platform
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Thank you