Presentation installed at the Invisible Cities Graduate Symposium and Expo, held in Kitchener, Ontario on October 26th, 2013 through the University of Waterloo's Critical Media Lab. This presentation summarizes my research on smart city technology and the idea of using big data to better understand cities.
21c President and Founder, Dr Julia Glidden was invited by Google to be a key speaker at their TEDx event on Smart Cities. Speaking to over 200 members of Google Julia set out the concept of using a city as an innovation platform, using open data to harness the power of a cities greatest resource – its citizens.
Smart Cities and Big Data - Research Presentationannegalang
Research presentation on smart cities (sensor technology) and big data, presented in a graduate course I took on Transmedia Design and Digital Culture.
Smart Cities are all about collaboration, sharing and transparency. They need true openness of data. It is not just governments opening up their data for everyone in public platforms. It is individual citizens and privately-owned companies offering their data to the government or government departments sharing their data with one another. That is the true meaning of ‘Open Data’, which goes beyond the traditional definitions. Because Smart Cities eat the ‘status quo’ for breakfast. They change at the speed of light, together with their environment. They are the cities of the future.
Presentation installed at the Invisible Cities Graduate Symposium and Expo, held in Kitchener, Ontario on October 26th, 2013 through the University of Waterloo's Critical Media Lab. This presentation summarizes my research on smart city technology and the idea of using big data to better understand cities.
21c President and Founder, Dr Julia Glidden was invited by Google to be a key speaker at their TEDx event on Smart Cities. Speaking to over 200 members of Google Julia set out the concept of using a city as an innovation platform, using open data to harness the power of a cities greatest resource – its citizens.
Smart Cities and Big Data - Research Presentationannegalang
Research presentation on smart cities (sensor technology) and big data, presented in a graduate course I took on Transmedia Design and Digital Culture.
Smart Cities are all about collaboration, sharing and transparency. They need true openness of data. It is not just governments opening up their data for everyone in public platforms. It is individual citizens and privately-owned companies offering their data to the government or government departments sharing their data with one another. That is the true meaning of ‘Open Data’, which goes beyond the traditional definitions. Because Smart Cities eat the ‘status quo’ for breakfast. They change at the speed of light, together with their environment. They are the cities of the future.
The role of digital technologies in promoting smart city governance; Data-driven decision making.
Gabriela Viale Pereira, Postdoc, Danube University Krems, AU
Panel #4: Open Knowledge - Data, Citizens and Governance
FIWARE Global Summit
Smart Cities
Participative Cities
Citizen participation
Beyond Open Data Portals
CO-CREATION
Urban Intelligence
Knowledge Graphs
Actionable Knowledge to the service of citizens
Two of the main current challenges faced by society are the growing urbanization and ageing of population. ICTs play a key role helping us addressing these socioeconomic problems which are paramount for our future progress. Firstly, this talk will overview the opportunities and strengths brought forward by ICT democratization in all societal sectors to make cities more age-friendly, sustainable, productive and satisfying environments. On the other hand, it will also review the weaknesses and threats associated to the increasing adoption of ICT to face these societal challenges. For instance, it will review the need to capture and process personal information to offer assistance services and ease decision making in cities, together with the threats to privacy that personal data management may cause. Several European projects facing the challenges of Sustainable and Inclusive Cities will be described in order to illustrate the high potential of this idea. Both their scientific-technological contributions and their economic potential will be overviewed, highlighting the potential of the Silver Economy – the new market opened to address the progressive societal ageing. Secondly, this talk will give further details about three core pillars to make reality this idea of more elderly-friendly ambient assisted cities, namely Internet of Things, Big Data and higher stakeholder participation and collaboration. Through use cases extracted from European projects, examples of novel personal health devices connected to Internet, new ways to correlate and process information in order to enhance decision-making and emerging approaches to make elderly people to have a higher involvement and engagement in aspects related to personal autonomy and their higher societal involvement will be provided. Finally, the talk will conclude exemplifying how Spanish administrations are addressing ageing problems through smart healthcare technologies.
Intervención Olavi Luotonen. Comisión europea. Scientific Officer, New Infrastucture Paradigms and Experimental Facilities en las Primeras Jornadas de Centros de Conocimiento. Citilab Cornellà #citilab #joceco
A brief introduction to the Eurotech Group and Eurotech’s M2M Field-to-Application Building Blocks for Smart City Applications
M2M Applications and Use Cases: Industrial Air Conditioning System Monitoring, Environmental Monitoring, Retail Shop Performance Measurement, Retail Energy and Asset Management, Elderly Living Project, Taxi Queue Optimization, Parking Management, Cool Chain Monitoring and Fleet Management Optimization
Professor Isam Shahrour Summer Course « Smart and Sustainable City » Chapter...Isam Shahrour
This lecture presents the Smart City Concept. It includes presentation of the city challenges, the response of the Smart City to these challenges, the Smart City concept, a survey of the smart city development in the world and the methodology of the implementation of this concept.
Chapter 3 introduction to the smart city concept, AUST 2015Isam Shahrour
This lecture presents the concept of the smart city with particular focus on the use of the digital technology and collective governance. It also presents the data collection, analysis and use in the management of the City and the methodology to be followed for the implementation of the Smart City concept.
The role of digital technologies in promoting smart city governance; Data-driven decision making.
Gabriela Viale Pereira, Postdoc, Danube University Krems, AU
Panel #4: Open Knowledge - Data, Citizens and Governance
FIWARE Global Summit
Smart Cities
Participative Cities
Citizen participation
Beyond Open Data Portals
CO-CREATION
Urban Intelligence
Knowledge Graphs
Actionable Knowledge to the service of citizens
Two of the main current challenges faced by society are the growing urbanization and ageing of population. ICTs play a key role helping us addressing these socioeconomic problems which are paramount for our future progress. Firstly, this talk will overview the opportunities and strengths brought forward by ICT democratization in all societal sectors to make cities more age-friendly, sustainable, productive and satisfying environments. On the other hand, it will also review the weaknesses and threats associated to the increasing adoption of ICT to face these societal challenges. For instance, it will review the need to capture and process personal information to offer assistance services and ease decision making in cities, together with the threats to privacy that personal data management may cause. Several European projects facing the challenges of Sustainable and Inclusive Cities will be described in order to illustrate the high potential of this idea. Both their scientific-technological contributions and their economic potential will be overviewed, highlighting the potential of the Silver Economy – the new market opened to address the progressive societal ageing. Secondly, this talk will give further details about three core pillars to make reality this idea of more elderly-friendly ambient assisted cities, namely Internet of Things, Big Data and higher stakeholder participation and collaboration. Through use cases extracted from European projects, examples of novel personal health devices connected to Internet, new ways to correlate and process information in order to enhance decision-making and emerging approaches to make elderly people to have a higher involvement and engagement in aspects related to personal autonomy and their higher societal involvement will be provided. Finally, the talk will conclude exemplifying how Spanish administrations are addressing ageing problems through smart healthcare technologies.
Intervención Olavi Luotonen. Comisión europea. Scientific Officer, New Infrastucture Paradigms and Experimental Facilities en las Primeras Jornadas de Centros de Conocimiento. Citilab Cornellà #citilab #joceco
A brief introduction to the Eurotech Group and Eurotech’s M2M Field-to-Application Building Blocks for Smart City Applications
M2M Applications and Use Cases: Industrial Air Conditioning System Monitoring, Environmental Monitoring, Retail Shop Performance Measurement, Retail Energy and Asset Management, Elderly Living Project, Taxi Queue Optimization, Parking Management, Cool Chain Monitoring and Fleet Management Optimization
Professor Isam Shahrour Summer Course « Smart and Sustainable City » Chapter...Isam Shahrour
This lecture presents the Smart City Concept. It includes presentation of the city challenges, the response of the Smart City to these challenges, the Smart City concept, a survey of the smart city development in the world and the methodology of the implementation of this concept.
Chapter 3 introduction to the smart city concept, AUST 2015Isam Shahrour
This lecture presents the concept of the smart city with particular focus on the use of the digital technology and collective governance. It also presents the data collection, analysis and use in the management of the City and the methodology to be followed for the implementation of the Smart City concept.
Digital as an enabler for climate actionSoren Gigler
Digital innovations are key enablers for climate action and sustainability. the presentation provides an overview of the EU's program on the digital and green transformation and provides recommendations on how to leverage the power of digital innovations to address the challenges of climate change.
Open innovation for Digital and green transformationSoren Gigler
This presentation provide an overview about EU program to support the digital and green transformation, including the European Green Digital Coalition, the Digital and Green Transformation Declaration by EU Member States and the European Parliament-supported pilot program.
Smart city Shahrour AUST Beirut april 2015 shIsam Shahrour
Conference of Isam Shahrour at the American University of Science Technology (AUST), Beirut, April 2015 on the topic: "Smart City for developing countries: Utopia or a real opportunity?"
This presentation focuses on the role breakthrough digital technologies, such as AI, blockchain and IoT can play for climate action and sustainble development. It also addresses the urgent need to enhance the sustainability of the ICT sector. The digital transformation approach is based on a people-centered approach that puts people instead of technologies first
EDF2014: Marta Nagy-Rothengass, Head of Unit Data Value Chain, Directorate Ge...European Data Forum
PPP on Data & Executive Panel on Big Data, Introduction by Marta Nagy-Rothengass, Head of Unit Data Value Chain, Directorate General for Communications Networks, Content and Technology at the European Data Forum 2014, 20 March 2014 in Athens, Greece: Towards a Data Value Chain Partership in Europe.
Keynote presented at the Arab ICT 2024 conference in Bahrein from 27 to 28 of February, 2024, with title "Engineering Education in the time of the Internet of Things:
Ethics and Sustainability" showing technical and Industry 4.0 activities to be considered under the filter of the Ethical activity of engineering, Sustainability and Circular Economy, and showing information about ECoVEM project and IEEE/IEEE EdSoc - Bahrain Society of Engineers
Virtualisation taking place – Martin BrynskovMartin Brynskov
How understanding virtualisation, the computing continuum and communities of practice is essential for making the right investments in research, innovation and deployment. A global perspective from Europe. By Martin Brynskov https://www.linkedin.com/in/brynskov/
A smart city / Region with smart citizen and smart business
ecosystem. - prezentacja Sergiego Figueroli podczas konferencji „SMART_KOM. Kraków w sieci inteligentnych miast”, 7.11.2014 r., Kraków
Cancer cell metabolism: special Reference to Lactate PathwayAADYARAJPANDEY1
Normal Cell Metabolism:
Cellular respiration describes the series of steps that cells use to break down sugar and other chemicals to get the energy we need to function.
Energy is stored in the bonds of glucose and when glucose is broken down, much of that energy is released.
Cell utilize energy in the form of ATP.
The first step of respiration is called glycolysis. In a series of steps, glycolysis breaks glucose into two smaller molecules - a chemical called pyruvate. A small amount of ATP is formed during this process.
Most healthy cells continue the breakdown in a second process, called the Kreb's cycle. The Kreb's cycle allows cells to “burn” the pyruvates made in glycolysis to get more ATP.
The last step in the breakdown of glucose is called oxidative phosphorylation (Ox-Phos).
It takes place in specialized cell structures called mitochondria. This process produces a large amount of ATP. Importantly, cells need oxygen to complete oxidative phosphorylation.
If a cell completes only glycolysis, only 2 molecules of ATP are made per glucose. However, if the cell completes the entire respiration process (glycolysis - Kreb's - oxidative phosphorylation), about 36 molecules of ATP are created, giving it much more energy to use.
IN CANCER CELL:
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
introduction to WARBERG PHENOMENA:
WARBURG EFFECT Usually, cancer cells are highly glycolytic (glucose addiction) and take up more glucose than do normal cells from outside.
Otto Heinrich Warburg (; 8 October 1883 – 1 August 1970) In 1931 was awarded the Nobel Prize in Physiology for his "discovery of the nature and mode of action of the respiratory enzyme.
WARNBURG EFFECT : cancer cells under aerobic (well-oxygenated) conditions to metabolize glucose to lactate (aerobic glycolysis) is known as the Warburg effect. Warburg made the observation that tumor slices consume glucose and secrete lactate at a higher rate than normal tissues.
Multi-source connectivity as the driver of solar wind variability in the heli...Sérgio Sacani
The ambient solar wind that flls the heliosphere originates from multiple
sources in the solar corona and is highly structured. It is often described
as high-speed, relatively homogeneous, plasma streams from coronal
holes and slow-speed, highly variable, streams whose source regions are
under debate. A key goal of ESA/NASA’s Solar Orbiter mission is to identify
solar wind sources and understand what drives the complexity seen in the
heliosphere. By combining magnetic feld modelling and spectroscopic
techniques with high-resolution observations and measurements, we show
that the solar wind variability detected in situ by Solar Orbiter in March
2022 is driven by spatio-temporal changes in the magnetic connectivity to
multiple sources in the solar atmosphere. The magnetic feld footpoints
connected to the spacecraft moved from the boundaries of a coronal hole
to one active region (12961) and then across to another region (12957). This
is refected in the in situ measurements, which show the transition from fast
to highly Alfvénic then to slow solar wind that is disrupted by the arrival of
a coronal mass ejection. Our results describe solar wind variability at 0.5 au
but are applicable to near-Earth observatories.
Richard's entangled aventures in wonderlandRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
A brief information about the SCOP protein database used in bioinformatics.
The Structural Classification of Proteins (SCOP) database is a comprehensive and authoritative resource for the structural and evolutionary relationships of proteins. It provides a detailed and curated classification of protein structures, grouping them into families, superfamilies, and folds based on their structural and sequence similarities.
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.Sérgio Sacani
The return of a sample of near-surface atmosphere from Mars would facilitate answers to several first-order science questions surrounding the formation and evolution of the planet. One of the important aspects of terrestrial planet formation in general is the role that primary atmospheres played in influencing the chemistry and structure of the planets and their antecedents. Studies of the martian atmosphere can be used to investigate the role of a primary atmosphere in its history. Atmosphere samples would also inform our understanding of the near-surface chemistry of the planet, and ultimately the prospects for life. High-precision isotopic analyses of constituent gases are needed to address these questions, requiring that the analyses are made on returned samples rather than in situ.
This pdf is about the Schizophrenia.
For more details visit on YouTube; @SELF-EXPLANATORY;
https://www.youtube.com/channel/UCAiarMZDNhe1A3Rnpr_WkzA/videos
Thanks...!
Richard's aventures in two entangled wonderlandsRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
Slide 1: Title Slide
Extrachromosomal Inheritance
Slide 2: Introduction to Extrachromosomal Inheritance
Definition: Extrachromosomal inheritance refers to the transmission of genetic material that is not found within the nucleus.
Key Components: Involves genes located in mitochondria, chloroplasts, and plasmids.
Slide 3: Mitochondrial Inheritance
Mitochondria: Organelles responsible for energy production.
Mitochondrial DNA (mtDNA): Circular DNA molecule found in mitochondria.
Inheritance Pattern: Maternally inherited, meaning it is passed from mothers to all their offspring.
Diseases: Examples include Leber’s hereditary optic neuropathy (LHON) and mitochondrial myopathy.
Slide 4: Chloroplast Inheritance
Chloroplasts: Organelles responsible for photosynthesis in plants.
Chloroplast DNA (cpDNA): Circular DNA molecule found in chloroplasts.
Inheritance Pattern: Often maternally inherited in most plants, but can vary in some species.
Examples: Variegation in plants, where leaf color patterns are determined by chloroplast DNA.
Slide 5: Plasmid Inheritance
Plasmids: Small, circular DNA molecules found in bacteria and some eukaryotes.
Features: Can carry antibiotic resistance genes and can be transferred between cells through processes like conjugation.
Significance: Important in biotechnology for gene cloning and genetic engineering.
Slide 6: Mechanisms of Extrachromosomal Inheritance
Non-Mendelian Patterns: Do not follow Mendel’s laws of inheritance.
Cytoplasmic Segregation: During cell division, organelles like mitochondria and chloroplasts are randomly distributed to daughter cells.
Heteroplasmy: Presence of more than one type of organellar genome within a cell, leading to variation in expression.
Slide 7: Examples of Extrachromosomal Inheritance
Four O’clock Plant (Mirabilis jalapa): Shows variegated leaves due to different cpDNA in leaf cells.
Petite Mutants in Yeast: Result from mutations in mitochondrial DNA affecting respiration.
Slide 8: Importance of Extrachromosomal Inheritance
Evolution: Provides insight into the evolution of eukaryotic cells.
Medicine: Understanding mitochondrial inheritance helps in diagnosing and treating mitochondrial diseases.
Agriculture: Chloroplast inheritance can be used in plant breeding and genetic modification.
Slide 9: Recent Research and Advances
Gene Editing: Techniques like CRISPR-Cas9 are being used to edit mitochondrial and chloroplast DNA.
Therapies: Development of mitochondrial replacement therapy (MRT) for preventing mitochondrial diseases.
Slide 10: Conclusion
Summary: Extrachromosomal inheritance involves the transmission of genetic material outside the nucleus and plays a crucial role in genetics, medicine, and biotechnology.
Future Directions: Continued research and technological advancements hold promise for new treatments and applications.
Slide 11: Questions and Discussion
Invite Audience: Open the floor for any questions or further discussion on the topic.
The ASGCT Annual Meeting was packed with exciting progress in the field advan...
ICT for Smart Cities
1. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
z
LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
1st
Summer
School
on
Smart
Ci2es
and
Linked
Open
Data
(LD4SC-‐15)
ICT
for
Smart
Ci2es
Dr.
Dimitrios
Tzovaras
InformaBon
Technologies
InsBtute
(ITI)
Centre
for
Research
and
Technology
Hellas
(CERTH)
2. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
Index
• Smart
Ci2es
are
a
Necessity
– CiBes
in
Numbers
– EU
Targets
for
Climate
and
Energy
• The
Concept
of
Smart
CiBes
• ICT
Key
Enabler
for
Smart
CiBes
• ICT
in
the
EeB
Sector
of
Smart
CiBes
• European
FP7/Horizon
ICT
projects
• Future
Vision
2
3. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
Smart
CiBes
are
a
Necessity
(1/2)
– The
percentage
of
people
over
the
age
of
60
increases
each
year
– The
number
of
people
over
the
age
of
60
is
expected
to
triple
by
2050
and
will
outnumber
children
under
15
Ci#es
in
numbers
Urban
Growth
Global
Warming
Ageing
Popula#on
– Urban
popula2ons
will
grow
by
an
es2mated
2.3
billion
over
the
next
40
years
– The
World
Health
Organiza2on
es2mates,
the
global
urban
popula2on
will
grow
approximately
1.84%
per
year
between
2015
and
2020
– Ci2es
consume
75%
of
the
world’s
energy
– Ci2es
produce
80%
of
its
greenhouse
gas
emissions
3
4. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
Smart
CiBes
are
a
Necessity
(2/2)
20
%
20
%
20
%
EU
Targets
for
Climate
and
Energy
By
2020
40
%
reduc2on
in
gas
emissions
27%
increase
in
renewable
energy
30%
improvement
in
energy
efficiency
By
2030
Image
taken
from:
hZp://ec.europa.eu/energy/en/topics/energy-‐strategy/2030-‐energy-‐strategy
4
5. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
Index
• Smart
CiBes
are
a
Necessity
• The
Concept
of
Smart
Ci2es
– Challenges
as
New
OpportuniBes
–
Smart
CiBes
in
Europe
• ICT
Key
Enabler
for
Smart
CiBes
• ICT
in
the
EeB
Sector
of
Smart
CiBes
• European
FP7/Horizon
ICT
projects
• Future
Vision
5
6. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
The
Concept
of
Smart
CiBes
(1/4)
Challenges
as
New
Opportuni2es
Smart
Ci2es
Defini2on
“ci%es
that
u%lise
informa%on
and
communica%on
technologies
with
the
aim
to
increase
the
life
quality
of
their
inhabitants
while
providing
sustainable
development”
(Bakici,
Almirall,
&
Wareham,
2013,
p.
137)
Solu#on
Efficient
and
innovaBve
technologies
to
meet
future
challenges
Image
taken
from:
hZps://ec.europa.eu/digital-‐agenda/en/smart-‐ciBes
6
7. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
The
concept
of
Smart
CiBes
(2/4)
Image
taken
from:
www.districtoffuture.eu
7
8. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
The
concept
of
Smart
CiBes
(3/4)
The
Smart
City
Concept
is
emerging
as
the
ü base
of
sustainable
growth
ü op2mal
solu2on
of
the
world’s
challenges
Fact
The
European
InnovaBon
Partnership
on
Smart
CiBes
and
CommuniBes
o Integrates
ICT,
energy
and
transport
o Establishes
strategic
partnerships
between
industry
and
European
ciBes
for
urban
systems
and
infrastructures
of
tomorrow
Image
taken
from:
hZp://ec.europa.eu/eip/smartciBes/files/eip-‐ifc-‐infographic.pdf
8
9. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
CiBes
Commitments
in
Energy,
Transport,
Mobility
and
ICT
The
concept
of
Smart
CiBes
(4/4)
InformaBon
Resources:
hZps://eu-‐smartciBes.eu/
hZp://www.europarl.europa.eu/studies
The
raBo
of
Smart
CiBes
to
SmartCity
iniBaBves
across
the
EU
SmartCiBes
by
Country
Smart
Ci2es
in
Europe
9
10. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
Index
• Smart
CiBes
are
a
Necessity
• The
Concept
of
Smart
CiBes
• ICT
Key
Enabler
for
Smart
Ci2es
• ICT
in
the
EeB
Sector
of
Smart
CiBes
• European
FP7/Horizon
ICT
projects
• Future
Vision
10
11. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
• The
Europe
2020
strategy
incorporates
a
commitment
to
– promote
the
development
of
Smart
Ci2es
throughout
Europe
– invest
in
the
necessary
ICT
infrastructure
and
human
&
social
capital
development
– increase
effecBveness,
reduce
costs
and
improve
quality
of
life
through
ICT
technology
• ICT
itself
accounts
for
2%
of
all
CO2
emissions
but
a
vast
potenBal
to
help
improve
the
energy
efficiency
of
other
sectors
ICT
Key
Enabler
for
Smart
CiBes
(1/8)
InformaBon
and
communicaBons
technology
(ICT)
is
a
key
enabler
for
smart
city
innovaBon
11
12. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
In
Smart
Ci#es
• Digital
technologies
translate
into:
–
BeZer
public
services
for
ciBzens
–
BeZer
use
of
resources
and
–
Less
impact
on
the
environment
ICT
Key
Enabler
for
Smart
CiBes
(2/8)
Increased
Energy
Efficiency
Maximum
Interoperability
12
13. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
ICT
pivotal
role
13
ICT
Key
Enabler
for
Smart
CiBes
(3/8)
• Broadband
Networks
ü
Access
to
Internet
and
public
services
for
maximum
connec%vity
ü Wireless
broadband
for
mobile
applica%ons,
smart
devices,
sensors,
IoT
apps
• Embedded
Systems
ü Smart
Devices
ü Sensor/Actuators
for
remote
monitoring
and
control
ü Embedded
Intelligence
(spa%al,
environmental,
etc.)
14. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
ICT
Key
Enabler
for
Smart
CiBes
(4/8)
• Connected
ICT
Infrastructure
ü Connec%ng
smart
devices,
sensors
and
applica%ons
for
ubiquitous
ICT
facili%es
ü Data
processing
and
op%mal
decision
making
• Data
Modelling
and
Linked
Open
Data
ü Ontologies
and
Vocabularies
for
data
processing
ü Publica%on
of
Linked
and
Seman%cally
enhanced
Data
ü Build
on
top
of
web-‐based
Applica%ons
and
Services
ICT
pivotal
role
14
15. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
ICT
Key
Enabler
for
Smart
CiBes
(5/8)
• The
Internet
of
Things
(IoT)
seamlessly
incorporates
a
large
number
of
heterogeneous
end
systems
ü Open
access
to
data
for
the
development
of
digital
services
ü Urban
IoTs
uBlise
communicaBon
technologies
to
support
added-‐
value
services
for
the
ciBzens
and
administraBon
!
a
plethora
of
machines,
devices,
sensors,
actuators,
and
other
objects
are
interconnected
to
each
other
and
to
higher-‐level
systems
exchanging
data
15
16. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
“1.1
billion
connected
things
will
be
used
by
smart
ci%es
in
2015
rising
to
9.7
billion
by
2020
”
Gartner,
Inc.
ICT
Key
Enabler
for
Smart
CiBes
(6/8)
Image
taken
from:
www.channelnomics.com
16
17. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
Context
–
aware
sensors
and
networked
devices
Data
extracBon,processing,
storage,
and
analyBcs
at
distributed
points
Central
data
collecBon
with
integrated
and
open-‐standard
APIs
for
building
on
open-‐data
On
top
applicaBons
and
services
for
ciBzens
&
administraBon
Smart
City
ICT
Architecture
ICT
Key
Enabler
for
Smart
CiBes
(7/8)
17
18. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
18
ICT
Key
Enabler
for
Smart
CiBes
(8/8)
Main
targets
– CiBzens
– Building
sector
– Energy
sector
– Municipality
Smart
City
Layers
using
ICT
applica#ons
!
Energy
sector
is
closely
interconnected
with
the
Building
sector
at
a
city
scale
system
represen%ng
distributed
nodes
of
an
interlinked
network
19. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
Index
• Smart
CiBes
are
a
Necessity
• The
Concept
of
Smart
CiBes
• ICT
Key
Enabler
for
Smart
CiBes
• ICT
in
the
EeB
Sector
of
Smart
Ci2es
• European
FP7/Horizon
ICT
projects
• Future
Vision
19
20. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
ICT
in
the
EeB
Sector
of
Smart
CiBes
(1/2)
• Energy
efficient
(nearly
zero,
net
zero,
and
energy
posiBve
)
buildings
with
on-‐site
renewable
energy
producBon
• Intelligent
Buildings
are
connected
with
the
energy
networks
and
are
dynamically
responsive
• BMS
&
Tools
for
managing
the
building
as
an
ac2ve
prosumer
in
the
city’s
energy
system
• Huge
amount
of
dynamic
data
derived
from
sensors,
smart
devices
etc.
are
processed
for
paZern
recogniBon
(energy
behavior,
usage
paZerns,
occupancy
etc.)
and
predicBon
R4SC
Vision
General
Aim
The
Urban
mulB-‐domain
Intelligence
System
is
to
be
based
on
a
standardized
ontology
framework
providing
a
semanBc
interoperability
and
common
data
format
Smart
Buildings
Characteris#cs
20
21. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
Requirements
• Interoperability
to
be
ensured
at
different
levels
– physical
level:
the
sensors,
actuators,
and
acquisiBon
systems
are
interconnected
– communicaBon
protocols,
data
structures
and
seman2cs
are
shared
• BEM
systems
operate
with
Standardized
Data
Models
(
e.g.
buildingSMART
IFC
standard)
•
Smart
appliances
communicate
with
open
protocols
(standards,
dicBonaries,
etc.)
ICT
in
the
EeB
Sector
of
Smart
CiBes
(2/2)
21
22. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
• Smart
CiBes
are
a
Necessity
• The
Concept
of
Smart
CiBes
• ICT
Key
Enabler
for
Smart
CiBes
• ICT
in
the
EeB
Sector
of
Smart
CiBes
• European
FP7/Horizon
ICT
projects
– ADAPT4EE
FP7
ICT
Project
– INERTIA
FP7
ICT
Project
– SWIMing
Horizon
2020
Project
• Future
Vision
Index
22
23. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
Smart
Buildings
Energy
Efficiency
Applica#on-‐Based
ICT
developments
Stakeholders
Engagement
Standardiza#on
Best
Prac#ses
Use
Cases
Evolu2on
to
the
New
Data
Ecosystem
FP7/Horizon
2020
EU
ICT
Projects
• ADAPT4EE
&
INERTIA
use
case
paradigms
for
the
uBlisaBon
and
development
of
semanBc
vocabularies
&
data
• R4SC
&
SWIMing
Community
building
projects
– IdenBfy
use
cases
– Aggregate
applicaBon
projects
results
– Deliver
best
pracBses
for
ontologies
and
datasets
towards
a
common
approach
European
FP7/Horizon
ICT
projects
23
24. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
The
ADAPT4EE
FP7
ICT
Project
24
25. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
ADAPT4EE
-‐
Overview
Adapt4EE
aims
at
augmen2ng
the
contemporary
architectural
envelope
by
incorpora2ng
business
and
occupancy
related
informa2on
to
the
early
construcBon
products.
The
project
provides
a
holis%c
approach
to
the
design
and
evalua#on
of
the
energy
performance
of
construc%on
products
at
an
early
stage
and
prior
to
their
realiza%on..
Construction &
Design
Real Life
(Pilot Facilities)
TRAINING
Adapt4EE Enterprise
Building Data Modeling
(eeBDM)
Business
Process
Model
Occupancy
Model
SIMULATION
Monitoring – Real Life
Data Acquisition
& Analysis
Energy Performance
Evaluation & Visualization
Building
Information
Model
Designers & Engineers
Towards Energy
Efficient
Building Design
25
26. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
Occupancy
and
Business
Modelling
in
Smart
Buildings
• Building
performance
analysis
highly
depends
on
occupants
behavior
• Building
Occupancy
Analysis
helps
predicBng
space
u2liza2on
and
energy
usage
with
increased
accuracy,
granularity
and
reliability
• Lack
of
models
that
fully
characterize
occupancy
behavior
with
the
Enterprise/Organiza2on
that
will
be
housed
in
the
facility/building
under
design
• Enrichment
of
exisBng
BPS
tool
with
occupancy
paZerns
&
individual
user
profiling
energy
consump#on
space
u#liza#on
Final
Aim
Predic2on
from
the
early
design
phase
26
27. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
AcBvity
Based
and
Behavioural
OM
Methodology
(1/3)
Step1.
Defini2on
of
Occupancy
Models
in
a
Building
Occupant
Behavior
Presence
&
Movement
When
What
Where
Who
Why
Organiza#on
/
Enterprise
Model
(BPM)
Building
Model
Elements
(BIM)
Space
Equip.
Env.
…
Actor
Business
Process
Assets
Step
2.
Contextual
Analysis
of
users’
dynamic
behaviour
fully
integrated
with
BIM
model
27
28. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
Step
4.
User
Behavior
Models
to
semanBcally
enrich
Occupancy
Models
with
informaBon
related
to
acBviBes
performed
during
human
presence
in
building
Step
3.
Incorpora2on
of
several
domain
models
to
cope
with
BIM
and
BPM
aspects
AcBvity
Based
and
Behavioural
OM
Methodology
(2/3)
28
29. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
Step
5.
Business
Process
Models
to
correlate
the
acBviBes
with
the
enterprise/organizaBon
that
will
be
“housed”
in
the
building
under
design
AcBvity
Based
and
Behavioural
OM
Methodology
(3/3)
29
30. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
Business/Enterprise
Data
Models
• Enterprise
Data
Models
that
can
be
used
in
Building
Performance
Analysis
Tools
(actors,
roles,
units,
business
processes,
equipment
&semanBc
relaBons
among
them)
Business
Process
X
v
Actors
involved
v
Sequence
of
Ac%vi%es
performed
by
Actors
v
Occupants’
interacBons
with
Enterprise
Resources
v
…
DefiniBon
of
primary
business
processes
(Skeleton
AcBviBes)
30
31. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
Combining
Behavioural
&
Business
Models
(1/3)
• The
combined
seman2c
model
defines
basic
interac2ons
among
the
building
(BIM),
the
enterprise
(BPM)
and
occupant’s
domain
models
• Denotes
the
loca2ons
(Space)
that
ac2vi2es
(AcBvity)
can
be
executed
by
the
occupants
(Actor)
of
the
building
under
design
• Depending
on
the
level
of
development,
the
data
schema
allows
for
rela2ng
BIM
components
(equipment,
lighBng
and
HVAC,
etc)
with
ac2vi2es
and
actors
• Fully
extendable
data
schema
that
can
incorporate
more
parameters
for
occupant
behavior
simulaBon
and
building
performance
analysis
User
AcBvity
Schedules
Data
Views
Performance
Analysis
Occupancy
Schedules
Occupancy
related
Loads
Control
Behavior
Predic2on
Seman2c
Model
31
32. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
Combining
Behavioural
&
Business
Models
(2/3)
32
33. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
XML
schema
as
an
extension
to
gbXML
standard
Enterprise/Business
Model
Occupancy
Behavioural
Model
Combining
Behavioural
&
Business
Models
(3/3)
33
34. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
• OWL
Data
Schema
easily
incorporated
to
exisBng
BIM
models
standards
ADAPT4EE
Results
(1/6)
• Ontologies
and
XSD
Schemas
available
on
Web
via
ADAPT4EE
official
website
hp://www.adapt4ee.eu/adapt4ee/results/ontologies.html
34
35. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
35
ADAPT4EE
Results
(2/6)
ADAPT4EE
CIM
High
Level
View
37. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
37
• Building
Ontology
• Process
Ontology
ADAPT4EE
Results
(4/6)
38. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
• Occupancy
Ontology
Allowing
semanBc
interpretaBon
of
raw
measurements
related
to
occupancy
profiles
– Support
for
reasoning
on
BIM,
BPM
and
contextualized
EVENTS
(BIM,
device/equipment)
– A
working
example
for
UNAV
pilot
site
has
been
included
for
the
usage
of
the
ontology
38
ADAPT4EE
Results
(5/6)
39. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
• StaBc
and
Dynamic
occupancy-‐related
parameters
extracted
by
the
Building
Measurement
Framework
– Support
for
extracBng
Occupant
presence,
behavioral,
schedule
and
comfort
related
aZributes/parameters
– Enabling
correlaBon
of
BIM
and
BPM
related
parameters
ADAPT4EE
Results
(6/6)
39
40. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
ADAPT4EE
ApplicaBons
using
the
Data
Models
• Occupancy
profiling
within
Adapt4EE
– Based
on
the
analysis
of
the
foreseen
Building
Sensor
Cloud
(depth,
RFID,
temperature,
CO2
,
humidity,
lighBng,
etc)
• Usage
of
Occupancy
data
models
in
Measurement
phase
(calibraBon/training)
– AcBvity
mapping
– GeneraBon
of
behavioral
templates
for
use
in
simulaBon
framework
(Combining
both
real
measurements
and
defined
BPM
models
)
40
42. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
INERTIA
FP7
ICT
Project
INERTIA
project
addresses
the
"structural
iner#a"
of
exis%ng
Distribu%on
Grids
by
introducing
more
ac#ve
elements
combined
with
the
necessary
control
and
distributed
coordina#on
mechanisms.
To
this
end
INERTIA
will
adopt
the
Internet
of
Things/Services
principles
to
the
Distribu%on
Grid
Control
Opera%ons.
42
43. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
• Demand
Side
Management
Framework
– IntegraBon
of
local
demand
and
generaBon
(DER)
into
the
Grid
– Local
(Building)
&
Global
(Grid)
level
mulB-‐agent
management
• IntegraBon
of
Seman#cally
Enhanced
Distributed
Energy
Resources
(DERs)
profiles
• Service
Oriented
Middleware
for
mulB-‐direcBonal
communicaBon
• HolisBc
Energy
Performance
Models
• Prosumer
Seman#c
Profiles
– IncorporaBng
behavior,
acBvity
flows
and
environmental
knowledge
INERTIA
-‐
Overview
43
44. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
INERTIA
–
Pilot
Site
MulB-‐sensorial
Network
Building
Pilot
Site
for
Data
Acquisi2on
• CERTH
(Greece)
– InstallaBon
of
the
Building
AutomaBon
System
in
a
set
of
pilot
areas
– ConsumpBon/ProducBon
DERs
• Mul2-‐sensorial
Network
for
data
Acquisi2on
– Environmental
Measurements
– Power
ConsumpBon
– Occupancy
– User
Profiling
44
45. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
• Based
on
the
LinkSmart
Middleware
– Layer
to
integrate
a
set
of
heterogeneous
devices
and
sensors
– Device
Managers
supporBng
20
different
types
of
DERs,
sensors
and
actuators
deployed
on
7
different
networking
plarorms
– Common
approach
for
data
and
control
acBons
presentaBon
for
interoperability
• Seman2c
models
created
in
form
of
ontologies
– Containing
spaBal,
DER
and
occupancy
aspects
– Inference
mechanisms
applied
– INERTIA
semanBc
devices
to
adress
complex
models
LinkSmart
Event
Data
Model
INERTIA
–
Data
Models
45
46. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
INERTIA
Building
Ontology
(1/3)
• INERTIA
Ontology
describes
three
main
domains
addressed
in
the
building
context:
ü Loca2on
ü Devices
ü Occupants
• Refers
to
the
Energy-‐related
BIM
model
and
correlates
Distributed
Energy
Resources
with
Sensors/Actuators
• Describes
DERs
such
as
HVACs,
Lightning
etc.
• Describes
the
WSN
with
a
wide
set
of
Sensor/Actuator
sub-‐
classes
represenBng
the
installed
equipment.
• Applica2on-‐based
ontology
to
cover
specific
needs
of
the
project
46
47. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
INERTIA
Building
Ontology
(2/3)
47
48. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
• RelaBons
between
each
two
levels
give
locaBon
hierarchy
• Hierarchical
dependencies
between
connected
levels
• LocaBons
mapped
to
sensors,
DERs
or
occupants.
INERTIA
Building
Ontology
(3/3)
48
49. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
INERTIA-‐
SemanBc
rules
sample
model
• Sample
case
ü Retrieve
all
events
of
temperature
sensors
located
at
the
1st
floor
of
the
building
ü SpaBal
hierarchy
ü 4
devices,
1
smart
plug
and
3
thermometers
with
unique
IDs
49
50. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
• Occupancy
aspects
affect
the
usage
of
specific
devices
(e.g.
Office
and
Home
Appliances)
• The
occupancy
modelling
is
combined
with
occupancy
detecBon
systems,
i.e
RFID,
to
beZer
correlate
device
applied
acBons
with
human
presence
• Occupancy
Modelling
Concept
ü Each
Occupant
is
correlated
with
personal
appliances
ü Each
Occupant
is
correlated
with
a
loca%on
INERTIA
Occupancy
Ontology
50
51. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
INERTIA
Results
• OWL
Data
Schema
easily
incorporated
to
exisBng
BIM
models
standards
• INERTIA
Linked
Data
endpoint
available
for
SPARQL
quering
hp://www.iner%a-‐linkeddata.i%.gr
• Ontologies
XSD
Schemas
and
Dataset
Instances
available
on
Web
via
INERTIA
official
website
hp://www.iner%a-‐project.eu/iner%a/results/ontology.html
51
52. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
CollaboraBve
Efforts
for
StandardizaBon
(1/3)
ETSI,
the
European
Telecommunica%ons
Standard
Ins%tute,
standardized
the
machine-‐to-‐machine
(M2M)
architecture
This
architecture
describes
in
which
way
and
how
machines
interact
with
one
another
TNO
study
(January
2014
-‐
March
2015)
for
the
EC
ü Brings
together
semanBcs
and
data
from
smart
appliances
in
buildings
and
households
ü
Smart
Appliances
reference
(SAREF)
ontology
that
can
be
used
to
match
the
data
from
different
organizaBons.
ü SAREF
ontology
fits
into
the
ETSI
M2M
architecture
52
53. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
CollaboraBve
Efforts
for
StandardizaBon
(2/3)
• CollaboraBon
with
ETSI
Board
SAP
and
DG
Connect
during
the
4th
Workshop
on
Smart
Appliances
• Main
focus
on
bringing
together
semanBcs
and
data
from
smart
appliances
in
buildings
and
households
• Output
the
Smart
Appliances
reference
(SAREF)
ontology
• INERTIA
Ontology
mapped
with
SAREF
Ontology
to
idenBfy
commonaliBes
and
future
extensions
Available
at:
hZps://sites.google.com/site/smartappliancesproject/ontologies/reference-‐ontology
53
54. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
Mapping
of
different
Device
Concepts
and
Project
Ontologies
CollaboraBve
Efforts
for
StandardizaBon
(3/3)
54
55. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
SAREF
Ontology
The
SAREF
ontology
focuses
on
the
concept
of
device
Device
class
and
its
proper#es
Building
Space
and
Building
Object
classes
55
56. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
INERTIA
Ontology
Comparison
Example
with
SAREF
Ontology
(1/4)
Light
Actuator
INERTIA
Configura2on
Requirements
SAREF
Ontology
Type
(e.g.
ON/OFF,
dimming
etc.)
• saref:
hasModel
string
• saref:hasCategory
saref:DeviceCategory
Measurement
range
Event
repor%ng
interval
• saref:Open_close_func%on
• saref:Metering
Func%on
Loca%on
of
actuator
• saref:isLocatedIn
saref:BuildingSpace
(BuildingSpace
class
contains
the
Device
and
the
space
type
FIEMSER
Ontology)
Func%ons
(ON/OFF
set
&
status
monitor,
consump%on)
• saref:hasFunc%on
saref:Open
close
Func%on
saref:On_off_func%on
saref:Sensing
Func%on
Opera%on
Status
ON/OFF
saref:
hasState
saref:state
Consump%on
value
saref:
Power
Dimming
Factor
rate
(if
applicable)
No
dimming
factor.
Possible
extension
dimming
factor
state
Light
Switch
56
57. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
Visual
Representa2on
of
SAREF
Ontology
INERTIA
Ontology
Comparison
Example
with
SAREF
(2/4)
57
58. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
Visual
Representa2on
of
Light
Switch
INERTIA
Ontology
Comparison
Example
with
SAREF
(3/4)
58
59. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
Visual
RepresentaBon
of
Metering
Func#on
accomplished
by
Light_Switch
Visual
RepresentaBon
of
Open_Close_Func#on
accomplished
by
Light_Switch
59
INERTIA
Ontology
Comparison
Example
with
SAREF
(3/4)
60. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
Proposed
Extensions
According
to
INERTIA
(1/2)
• INERTIA
Smart
Dishwasher
to
operate
as
Smart
Energy
Appliance
according
to
specific
operaBon
profiles
• Wide
variety
of
services:
from
simple
awareness
up
to
a
fully
integrated
Energy
Management
System
Proposed
Extensions
• BIM
allocaBon
of
the
Dishwasher
• The
Dishwasher
properBes
should
be
retrieved
via
GET
command
• Extra
Commands
to
be
applied;Washing
start
%me,
Phase
delay
%me
60
61. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
• HVAC
system
consisBng
of
external
(VRV
units)
and
internal
units
• BIM
allocaBon
of
both
external
and
internal
units
• External
units
correlated
with
their
internal
units
• AddiBonal
Commands
to
be
applied
INERTIA
HVAC
system
Proper2es
ConfiguraBon
parameters
Current
OperaBonal
Status
(ON/OFF)
Current
Power
ConsumpBon
Actual
Temperature
Temperature
Set
Point
User
Control
On
Off
(ACTIVE/PASSIVE)
User
Control
Temperature
Set
Point
INERTIA
Genera2on
Units
Proper2es
ConfiguraBon
Parameters
ConnecBon
status
AcBve
Power
Set
point
Current
AcBve
Power/capacity
Charging
status
Producing
or
Consuming
mode
(only
for
storage
devices)
• Genera#on/storage
devices
to
be
included
ü Photovoltaic
panels
ü BaZeries
(EVs,
PVs)
ü Power
Generators
• AddiBonal
Commands
to
be
applied
Proposed
Extensions
According
to
INERTIA
(2/2)
61
62. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
Possible
Extensions
to
be
Standardized
– Extension
of
available
subclasses
to
address
a
wider
variety
of
instances
(complex
devices,
HVAC
system,
genera#on
units)
– Parameters
such
as
Temperature,
u#liza#on
rates,
could
affect
Energy
profiles
of
other
devices
i.e.
HVAC
systems,
thermosta%c
appliances
– Extension
of
Measurement
Units
(Humidity
units,
C02
rate,
occupant
units
etc.)
for
environmental
and
occupancy
sensors
– Some
properBes
could
be
more
generic
(e.g.
saref:hasDevice)
to
address
the
concept
of
different
sensors/actuators
ahached
to
DERs
– Extension
of
available
func%ons/services
(e.g.
add
phase
delays
for
Washing
Machines)
– Occupancy
aspects
and
user
behaviour
to
device
could
be
taken
into
considera%on
62
63. LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
z
LD4SC
Summer
School
7th
-‐
12th
June,
Cercedilla,
Spain
1st
Summer
School
on
Smart
Ci2es
and
Linked
Open
Data
(LD4SC-‐15)
Thank
you
for
your
aZenBon!