SIRENE: Social Intelligence for Energy Efficient ecosystem

H2020-EE11-2014 Research and Innovation Actions
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Proposal full title: Social Intelligence for energy efficient ecosystems
Proposal acronym: Sirene
Type of action:
Research and Innovation Actions
Work programme topic addressed:
EE11 2014/2015 New ICT-based solutions for Energy Efficiency
Date of preparation: 05/6/2014
List of participants:
Participant no. * Participant organisation name Part. short
name
Country
1 (Coordinator) ATOS Spain SA ATOS ES
2 D’Appolonia SpA DAPP IT
3 FUNDACION TECNALIA RESEARCH
& INNOVATION
TECNALIA ES
4 RIJKSUNIVERSITEIT GRONINGEN
(University of Groningen)
RUG NL
5 Infili UK Ltd Infili UK
6 INSTITUT MIHAJLO PUPIN iMP RS
7 SangamTech Ltd - LeanCiti LeanCiti IL
8 IRCCS AZIENDA OSPEDALIERA
UNIVERSITARIA SAN MARTINO-IST-
ISTITUTO NAZIONALE PER LA
RICERCA SUL CANCRO
(San Martino Hospital)
USMI IT
9 UNIVERSITA DEGLI STUDI DI
GENOVA
(University of Genoa)
UNIGE IT

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Table of Contents
1 Section 1: Excellence ____________________________________________________ 4
1.1 Objectives __________________________________________________________ 4
1.1.1 Problem statement________________________________________________ 4
Background and Limitations of other approaches_______________________________ 4
Why Social networks in Energy saving?______________________________________ 5
1.1.2 Objectives and results _____________________________________________ 6
1.1.3 Measuring the project success_______________________________________ 7
1.1.4 Why Sirene - Impact of the results ___________________________________ 8
1.2 Relation to the work programme ________________________________________ 8
1.3 Concept and approach _______________________________________________ 10
1.3.1 Sirene approach description _______________________________________ 10
1.3.2 Validation through Pilots and Use cases______________________________ 12
1.3.3 Positioning of the project and Technology Readiness Levels______________ 16
1.3.4 Gender analysis and considerations _________________________________ 18
1.4 Ambition__________________________________________________________ 18
1.4.1 Predictive analytics for energy consumption optimization________________ 18
1.4.2 Demand aggregation and characterization through social networks_________ 18
1.4.3 Business models in energy cost saving and optimization _________________ 20
1.4.4 Positioning and Linking of Sirene in relation to other existing EC projects___ 21
1.4.5 Innovations of the project _________________________________________ 23
2 Section 2: Impact_______________________________________________________ 24
2.1 Expected impacts ___________________________________________________ 24
2.1.1 Contributions towards impacts listed in the work programme _____________ 24
2.1.2 Improving Innovation capacity in Europe_____________________________ 24
2.1.3 Assumptions and external factors that may determine whether the impacts will
be achieved ___________________________________________________________ 25
2.1.4 European Energy policy and social impact ___________________________ 25
2.2 Measures to maximize impact _________________________________________ 26
2.2.1 Dissemination and exploitation of results _____________________________ 26
2.2.2 Exploitation of project results ______________________________________ 29
2.2.3 Standardization strategy & activities_________________________________ 32
2.2.4 Innovation strategy ______________________________________________ 34
2.2.5 Intellectual property management___________________________________ 35
2.2.6 Communication activities _________________________________________ 36
2.2.7 Liaison with other initiatives and projects ____________________________ 37
3 Section 3: Implementation _______________________________________________ 38
3.1 Work plan – Work packages, deliverables and milestones ___________________ 38
3.1.1 Workplan strategy _______________________________________________ 38
3.1.2 Workpackages rationale and Structure _______________________________ 39
3.1.3 Gantt Chart ____________________________________________________ 40
3.1.4 Interdependencies of Workpackages (Pert diagram) ____________________ 40
3.1.5 Work package List ______________________________________________ 41
3.1.6 Deliverables List ________________________________________________ 41
3.1.7 Work packages description ________________________________________ 43
3.2 Management structure and procedures___________________________________ 56
3.2.1 Description of project management structure and procedures _____________ 56
3.2.2 Quality Management, Communication and Collaboration ________________ 58
3.2.3 Decision process ________________________________________________ 60

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3.2.4 Risk assessment and mitigation plan_________________________________ 61
3.2.5 Innovation Management __________________________________________ 63
3.2.6 List of Milestones _______________________________________________ 63
3.3 Consortium as a whole _______________________________________________ 64
3.4 Resources to be committed____________________________________________ 66
References ________________________________________________________________ 69
4 Section 4: Members of the consortium ______________________________________ 71
4.1 Participants (applicants) ______________________________________________ 71
4.1.1 Atos Spain S.A._________________________________________________ 71
4.1.2 D’Appolonia S.p.A.______________________________________________ 73
4.1.3 Fundación Tecnalia Research & Innovation ___________________________ 76
4.1.4 University of Groningen __________________________________________ 78
4.1.5 Infili UK Ltd ___________________________________________________ 80
4.1.6 Institute Mihajlo Pupin ___________________________________________ 82
4.1.7 SangamTech Ltd ________________________________________________ 84
4.1.8 IRCCS AZIENDA OSPEDALIERA UNIVERSITARIA SAN MARTINO-IST-
ISTITUTO NAZIONALE PER LA RICERCA SUL CANCRO __________________ 85
4.1.9 Università degli Studi di Genova ___________________________________ 87
4.2 Third parties involved in the project (including use of third party resources) _____ 90
5 Section 5: Ethics and Security_____________________________________________ 91
5.1 Ethics ____________________________________________________________ 91
5.2 Security___________________________________________________________ 93
6 Annex I - Letter of endorsement ___________________________________________ 94
List of Tables
Table 1: Measures of Success and means of verification........................................................................ 8
Table 2: Relevance to the Call Objective EE11-2014 New ICT-based solutions for energy efficiency. 9
Table 3: Contributions towards impacts listed in the work programme................................................ 24
Table 4: Sirene Joint Exploitation plan ................................................................................................. 32
Table 5: Standardization efforts to be addressed in Sirene ................................................................... 33
Table 6 - Communication plan covering multiple channels, audiences & benefits .............................. 37
Table 7 – WP rationale and approach in Sirene project........................................................................ 39
Table 8: Work package list.................................................................................................................... 41
Table 9: Deliverables List ..................................................................................................................... 42
Table 10 – Overview Responsibilities – Meeting Frequency of Management Bodies ......................... 58
Table 11 – Sirene project roles and responsible partners...................................................................... 58
Table 12: List of milestones.................................................................................................................. 64
Table 13: Expertise and role of project partners ................................................................................... 65
Table 14: Skills matrix demonstrating the complementary of the Sirene participants.......................... 65
Table 15: Summary of staff effort......................................................................................................... 67
Table 16: Other direct cost items .......................................................................................................... 68

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1 Section 1: Excellence
1.1 Objectives
1.1.1 Problem statement
Smart energy management networks (including smart grids) are going to be the defacto
infrastructures that will be globally deployed to transmit and distribute energy in cities, plants and
urban/rural areas where human behaviour is taking place. This trend is motivated and supported by the
fact that interactive information and event capturing in consumption places is of vital importance
for the optimization of energy production, transmission and consumption on a local and global scale.
However, although the technology is evolving towards facilitating the innovative concepts and
approaches of smart energy management networks in many areas (such as metering, monitoring, event
gathering etc.), decision support systems still have limitations as far as it concerns their ability to
efficiently contribute in an all scale optimization of energy distribution, production and consumption.
Moreover, they seem to not optimize appropriately a local-district balance and planning between
demand and supply. This is due to the fact that stochastic parameters (such as weather conditions for
RES production, consumer behaviour based on district features etc) are factors that substantially
influence the mean and instant energy consumption of citizens, but are marginally and not
effectively taken into consideration when weighting their impact in the decision support mechanisms.
Also, decision support systems should facilitate consumers to adapt their energy use to the
available demand, but as yet, little is known how decision support systems can best be developed to
assist consumers in the best possible and most persuasive way. In addition, smart grids need to be
accepted by the relevant consumers, for example, they should agree with being monitored, or accept
the installation of technologies that can steer their energy demand outside their immediate control. As
yet, little is known about such social requirements of smart grids, while this information is crucial for
the success of smart energy management systems, while various current efforts on Socializing and
Gamification are aimed to get consumers into the "smart grid and smart cities environment" and
demonstrate benefits in reducing the energy consumption.
The main objective of the Sirene project is to provide a new paradigm of ICT based ecosystems that
deploy various sources of information from production systems (e.g. SCADA) to smart metering,
Internet of Things and social networks in order to achieve higher level of energy efficiency taking into
consideration the social behavior of the citizens and their energy consumption profiles. Sirene will
rationalize and inter-relate the fluctuating character of the energy supply and demand with the
behavioural pattern of the citizens in public buildings as this is going to be captured through
metering devices and social networks. This energy demand will be counter-matched with the
fluctuating character of the energy supply from local renewable energy sources (RES) and energy
source capacity of providers, in order to allow for an optimal planning of the production and
distribution of energy in the city scale with focus on public buildings.
Background and Limitations of other approaches
A fundamental assumption in every energy supply model, is that producers and consumers both
respond to changes in price. Factors determining the demand for and the supply of energy
(electricity, heating, etc) are analysed and processed in economic models, so they form the demand
and/or supply behavior of the energy market participants. Through an iterative process, the model
determines the economic equilibrium for each market. Price-driven equilibrium is considered in all
energy and environment markets, including the Europe-wide power grid and natural gas network. The
big challenge of every energy delivery network is to align as much as possible the demand and supply
sides and have as much as possible an equilibrium in this aspect as well, resulting in the optimal and
financially sustainable energy production.
The use of decision making tools under a multicriteria approach are intended to aid decision makers
in the creation of a set of relations between various alternatives on demand and supply matching. A
decision support system can be deﬁned as an interactive system that is able to produce data and

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information in order to give useful assistance in resolving complex problems and decisions. What is
difficult though nowadays is a modeling of the demand side as the various stochastic processes that
are involved, make it difficult to have accurate models. Today, the common trend is to rely on
historical and weather forecasting data of energy demand, while in some cases smart metering is
also involved, but these approaches lack a concrete contextualization of the human behavior
rationale. So, typically, there is not a consistent, documented and straightforward way to define in
real-time and also in a forecasted time interval the energy demand, relying not only in historical and
metered data, but also on the social context of the human behavior. This means actually that
decisions are based on data whose key source of occurrence (human behavior) is not fully identified.
In short the limitations of current relevant approaches are:
1) They do not fully consider the social behavior analytics of consumers when managing the
demand side.
2) They do not provide means to fuse data both form smart metering and smart sensors with
key social behavior and activity patterns of the consumers, captured through social media
and networks.
3) They do not provide incentives through gamification schemes tailored to individual needs
according to specific consumer profiles.
4) They do not approach the optimization in the scale of larger public buildings, (which can
significantly reduce energy transmission leakage and cost) in a decentralized approach as this
would imply more complex ICT infrastructures in deployment and integration and huge
interoperability issues.
Why Social networks in Energy saving?
So far, most energy efficiency programmes have largely focused on technology. This technocratic
view of the demand side management (DSM) issue and its technology-based solutions is valid and has
proven to be fairly successful. However, there is still between 20-40% of wasted energy potential
situated in the so-called ‘behavioural wedge’. Only recently though, the International Energy Agency
(IEA) [1] has started to actually consider social media and networks as a source for capturing and
influencing this behavioral change. Through the Task XXIV - Closing the loop - Behaviour change
in DSM, from theory to policies and practice [2] it has been identified the potential for social media is
endless [3]. With the mobility of smart phones and tablets, our natural tendencies to share information
with our social networks, to foster and grow them, are thoroughly supported anywhere we are. The
opportunity for social media and DSM lies in the fast and inexpensive interaction with
stakeholders and energy users; the provision of small steps that allow end users to participate in
meaningful personal or community change; low-cost and fast message dissemination; and the creation
of community with common interests for energy saving with members encouraging and supporting
each other to use energy in a smart way.
Large stakeholders, especially overseas, like GE in their industry insight reports [4] have identified the
need for "Smart grids to go social". The smart grid social network will function in essentially the same
way as the actual smart grid—with open, collaborative, two-way information flow between
consumers, the ultimate deciders of smart grid—and utilities, the ultimate providers of smart grid.
Educating consumers about the economic and societal benefits of a smarter grid will be the first step in
creating the smart grid social network. Using well thought out communication programs, utilities can
act like pioneers helping consumers understand how a smarter grid can empower them to better
manage their energy usage, enabling them to save energy (and money) by making informed and
therefore wiser energy decisions. Operating like a "societal demand response" system, utilities can use
information garnered from consumers as they move forward with development and deployment of
more refined and effective pilot programs. Consumers will need to understand that their participation
and collaboration in developing a smarter grid is as important as any technical component of a more
intelligent electrical infrastructure. After all, as utilities move forward with consumer-empowered pilot
programs, consumers will actually begin to see that the changes they have learned about, suggested,

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and demanded have resulted in a more modernized, efficient and reliable energy system that delivers
lower prices, fewer outages, and lower emissions.
1.1.2 Objectives and results
The overall objective of the Sirene project is to increase energy efficiency in public buildings by
exploiting social intelligence of users’ energy consuming behavior as this is outlined through their
behavior in social networks, and captured also from smart metering devices within the building they
are working in or visiting.
The innovative methodology in Sirene will be based on dynamically aggregating the energy demand in
the public buildings through fusing smart metering and user behavior information captured in social
networks by deploying gamification approaches, and match it with the energy production in a real-
time manner. In addition, through Sirene, interaction with users will be implemented in order to
inform and empower them, and give them incentives to make smarter use of energy, not only in real-
time but also in tactical and strategic levels. Not only financial incentives will be considered, but also
(and particularly) social and environmental incentives, as these proved to have promising effects in
encouraging energy savings and sustainable actions (Abrahamse & Steg, 2014; Bolderdijk,, Steg,
Geller, Lehman & Postmes, 2013). The following figure gives an overview of the Sirene concept.
The individual objectives of the Sirene project are:
Objective 1: To design and develop a new IT ecosystem including web and mobile applications that
will perform:
• optimal planning of energy consumption in large buildings based on dynamic demand
aggregation by fusing information from smart meters and consumer behaviours.
• engagement of end users/consumers in the active participation in activities and decisions on
how to reduce energy consumption and match energy demand to the available supply in the
buildings they visit or work.
Objective 2: To design and implement novel algorithms that will benchmark, profile and cluster
human behaviour in energy consumption in relation to their daily routines, through the use of social
media and social networks.
Objective 3: To introduce new interactive models of communication for large building owners to the
visitors or workers within the building, through social networks and gamification approaches, that will
provide the former with tailored information and feedback on how to manage their energy demand and
the latter with tailored information on what they can do in order to contribute to the energy saving of
the building.
Objective 4: To develop and validate optimal plans for energy consumption in public buildings that
will be tailored to their individual needs, based on their utilization profiles and habits of the visitors
and worker.

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Objective 5: To contribute to a building level reduction of energy consumption by a factor of
approximately 20% and validate this solution for at least twelve (12) months in two (2) different pilot
sites.
Objective 6: To produce flexible business models, best practices and replication plans for further
deployments of Sirene results in other public building in smart cities throughout Europe maximizing
thus the impact of the project benefits. The business models to be developed will be accompanied by
the financial analysis that will prove the sustainability of the Sirene approach across various socio-
economic contexts.
The Sirene project will deliver a set of concrete and added value main results. These are:
Result 1: Sirene Mobile &Web app: A gamification and social-rich application where users register,
participate and interact with the energy management back system in a unobtrusive fashion for
increasing the energy saving of the building.
Result 2: Sirene Energy saving framework for public buildings: An innovative and integrated IT
ecosystem that:
i) makes use of smart metering data and behavioral data of the visitors and workers in the
building,
ii) defines optimal energy consuming planning and strategy,
iii) devises the motivation incentives for the visitors and workers to implement this optimal
planning.
Result 3: Sirene business model and replication plan: a parameterized (according to socio-
economic contexts, business purpose and utilization/occupation models of the buildings) model on
how to replicate the Sirene approach further and guarantee its Return of Investment and benefits.
1.1.3 Measuring the project success
The following general measures of success will be used to review the project progress and steer the
project throughout its workplan:
• SIRENE generality, interoperability and replicability: that will contribute in a wider
uptake of the project results and allow for the establishment of a pan-European landscape for
energy savings in public buildings.
• Business viability through stakeholders acceptability: this will ensure the long term
viability and sustainability of the Sirene in operational mode (beyond the pilots of the project’s
lifecycle).
• Real energy savings and CO2 emissions reduction: at the end of the project the pilot
partners will validate (with quantitative and qualitative metrics) the impact of the results.
Table 1 details more on the measures of success and means of verification for the project.
No.
Evaluating
characteristic
Success criteria / improvement
Means of
verification
1 Number innovative IT
ecosystems that allow public
buildings to reduce their
energy demand
One overall (see Result1) D-3.1.2
2 Number of pilots 2 (Italy and Serbia) D-5.1.1
3 Number of end users /
consumers per pilot
>100 per pilot
D-5.2.1
4 Mean energy saving per
building and CO2 emission
reduction.
At least a measurable saving of 18-20% (reflected
in the bills of the public building owner)
D-5.2.2
5 New interactive
communication services
between building
1 web application
1 mobile application
3 social networks based communication channels
D-4.1.1

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owners/managers and end
consumers.
(twitter, facebook, foursquare).
All these services to be based on gamification
approaches.
6 New business models At least one for every pilot.
At least one general and parameterized according to
socio-economic contexts.
D-5.3.1
7
Adoption of Sirene by smart
cities focusing on smart
grids initiatives.
At least 2 from the pilot sites (Genoa and
Lappeenranta).
Partners involved will look for new early adopters in
other public buildings (aiming for another 2)
D-6.3.1
8 Joint publications (between
ICT, Energy, smart grid
experts).
At least four (4) jointly authored journal
publications in journals or other outlets with
significant impact factor.
At least six (6) jointly authored peer-reviewed
conference papers.
D-6.1.3 and D-
6.1.4
9 Interoperability, Data
management
Measured as the suitability of Sirene system to be
integrated with existing ICT infrastructures.
At least 2 reference infrastructures from the pilot
sites interoperable with Sirene
D-3.2.1
10 Visibility and access to the
project public results
Proven interest of the project results (through direct
communication with interested parties) of at least:
3 energy consumer associations in Europe
2 Public building owners (public administration,
hospitals, university campuses, etc.)
2 other smart cities
D-6.1.3
Table 1: Measures of Success and means of verification
These measures will ensure that the project addresses the technical objectives and achieves the
expected impact that is defined within its framework.
1.1.4 Why Sirene - Impact of the results
Sirene is an ambitious project aiming to bring the energy consumer in the decision making process of
energy preservation in contexts besides his/her domestic environment. The project results
SIRENE result The problem it addresses How the result will contribute in
improvements
Result 1: Sirene Mobile &
Web application
It forms the “cleanweb” pylon of the
Sirene project. It is the point of
interaction with the citizens to update
them and motivate them to change their
energy consuming behavior while they
are in Public buildings.
• An always updated & motivated citizen will
participate in collaborative and measurable
efforts (as the social networking experience
shows) to reduce his energy footprint.
• Visualizing and gamifying the benefit of his
behavior change.
Result 2: Sirene Energy
saving framework for
public buildings
Combining and bridging smart
metering data and behavioral data of
the visitors and workers in the building.
Defines optimal planning relying on
this rich set of data combination.
Devises overall energy saving strategy.
E.g. with load shifting concepts where
incentives will be given to workers and
visitors to reduce their energy consumption in
specific time zones.
e.g. by informing them on habits that are very
energy demanding.
Result 3: Sirene business
model and replication plan
The ability to easily replicate the
Sirene concepts and results to other
contexts and public buildings.
Adapting to specific needs (e.g. daily visitors,
social parameters) will optimize the way the
energy saving will be performed. Business
models will make it easier to other adopters
join these efforts.
1.2 Relation to the work programme
The following table describes the relevance of the Sirene project to the Call objectives.
Relevance to the Call Specific Challenge: EE11-2014 New ICT-based solutions for energy efficiency

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Workprogramme’s text for the
Target outcome
SIRENE contribution
Specific Challenge: To motivate and
support citizen's behavioural change to
achieve greater energy efficiency
taking advantage of ICT (e.g.
personalised data driven applications,
gaming and social networking) while
ensuring energy savings from this new
ICT-enabled solutions are greater than
the cost for the provision of the
services.
Sirene brings citizen’s behavioural change in the forefront of its
R&D activities and will produce an advanced interactive
framework to stimulate and measure this behavioural change in
places where the participation of citizen;s in energy saving is not
evident always: namely the public buildings. (See Result 2)
Its business model analysis and replication plan (parameterized
according to socio economic contexts) will provide the means for a
sustainable approach ensuring that the energy saving achieved in
these public buildings will be higher than the investment required
in ICT. (See Result 3).
Scope: The focus should be on the
creation of innovative IT ecosystems
that would develop services and
applications making use of information
generated by energy consumers (e.g.
through social networks) or captured
from sensors (e.g. smart meters, smart
plugs, social media) and micro-
generation. These applications range
from Apps for smart phones and tablets
to serious games to empower
consumers stimulate collaboration and
enable full participation in the market.
Sirene is an innovative and added value ecosystem of services,
applications and ICT infrastructures that will be deployed to
perform: optimal planning of energy consumption in large
buildings based on dynamic demand aggregation by fusing
information from smart meters and consumer behaviours. (See
Objective 1). Sirene will create both mobile and web applications
(See Result 1) cooperating for different modalities of citizen’s
participation in the energy saving and behavioural change influence
and will focus on the engagement of end users citizen’s in the
active participation in activities and decisions on how to reduce
energy consumption in the buildings they visit or work. The main
emphasis will be put in leveraging active participation and
engagement through social networks and the gamification approach
that is followed in similar contexts when the given incentives are
centered on how important influencer a specific person is in its
social network.
The proposed solutions should be
deployed and validated in real life
conditions in publicly owned buildings
(including administrative offices, social
housing) and buildings in public use or
of public interest. Validation should
provide socio-economic evidence for
ICT investment in the field and include
detailed plans for sustainability and
large-scale uptake beyond the project's
life time.
Sirene will establish two pilot sites (in Italy and Serbia) that will
validate the effectiveness of the project results in real conditions.
(See Objective 4).
The validation scenarios that will be implemented will contribute to
a building level reduction of energy consumption by a factor of
approximately 20% and validate this solution for at least twelve
(12) months. (see objective 5). Last but not least, one of the most
important results of the project is the Sirene business model and
replication plan: a parameterized (according to socio-economic
contexts, business purpose and utilization/occupation models of the
buildings) model on how to replicate the Sirene approach further
and guarantee its Return of Investment and benefits. (See Result 3)
Specific attention should be given to
development and testing of 'cleanweb'
solutions, which not only bring
opportunities for consumers, but also
represent a promising investment field.
The Commission considers that
proposals requesting a contribution
from the EU of between EUR 1.5 and 2
million would allow this specific
challenge to be addressed
appropriately. Nonetheless, this does
not preclude submission and selection
of proposals requesting other amounts.
Cleanweb technologies are internet, social and mobile-based
technologies utilized to solve the problems of sustainability or
resource constraints. To this end, Sirene concept is regarded as a
cleanweb solution that leverages the dynamics of social and mobile
based technologies to contribute in the reduction of energy
consumption in public buildings. (See Objective 1 and 2).
Sirene is well structured and balanced in terms of its ambition and
means to achieve them. The overall requested contribution is
2.081.150,00 € and is further analyzed in section 3.4.
Table 2: Relevance to the Call Objective EE11-2014 New ICT-based solutions for energy efficiency

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1.3 Concept and approach
1.3.1 Sirene approach description
1.3.1.1 Demand side management and aggregation
Demand is largely uncontrollable and varies with time of day and season (there have been in sufficient
incentives for demand to become responsive) especially in public buildings. A key feature of demand
is the diversity in usage of appliances. One of the key technical challenges relevant to the
competitiveness of Demand Side Management (DSM) is to design approaches that would maximize
the efficiency and utilization of controlled loads. The approach of Sirene for DSM is presented in the
following figure.
Figure 1 Sirene technical approach
At the public building level, there will be an Edge Node (EN) responsible to manage the information
on energy usage for the specific district. The edge node is going to populate a Knowledge Base with
this is information gathering data in real-time and classifying the energy usage in terms of multiple
criteria. The criteria will contain features such as public building type, sensors and smart metering
values, timeline of events, energy consumption, seasonal information, number of
users/visitors/inhabitants (according to the nature and purpose of the building) and other relevant
information. The metering data will come from various sensors and smart meters that are installed in
public spaces (such as squares, avenues, parks, surrounding gardens on public buildings etc) as well as
in private areas, houses, private buildings etc. Sensors will be deployed for monitoring various
parameters such as illumination, weather conditions (wind, temperature, rain, humidity, traffic
conditions, etc), while smart meters will be deployed for measuring the energy consumption of each
building (public or private) as well as in more refined configurations according to the nature of the
building (for instance for a very large public building with rooms of different purposes, individual
metering conditions can be applied according to the possible energy usage patterns).
Information on the locally installed renewable energy sources (RES) and storage facilities will be also
integrated and communicated to the EN. This will enable the provision of current production
information from the locally installed RES as well as historical data and production capabilities over a
duration of time and weather conditions. Data from sensors and smart meters will be structured in
XML and RDF forms and will be dispatched in the EN for populating the Knowledge Base. Graph
Data base technologies will be deployed for this purpose. The advantage of NoSQL graph DBs (such
as CouchDB or Neo4j) compared with traditional SQL RDBMS is that schema-less storage of data can
be much more flexible and exploitable for reasoning algorithms (necessary for the decision support)
and future modifications and updates when new data (e.g. from new sensors deployed) will fed in the
data base.

1.3.1.2 Fusing social media and smart metering approach
The EN will host in a local level a portal acting as a local area Social Network for the users involved.
There, the users/consumers will be able to sign up, create a profile, insert manually billing information
and have access to other relevant information with which they are associated (metering information
automated feed in). This Sirene social network (SSN) will be featured with state-of-the-art
applications and services for posting messages between users, be connected, share information on
billing or usage, comment on actions and posts, invite new users, etc. Privacy and security
mechanisms will be applied to preserve anonymity whenever required, classify sensitive information
and allow for personal messages (like for instance from the utility provider or the municipality
services etc). At the same time, the users will be able to share information from their accounts to other
existing social media such as Facebook, Twitter, Tumblr, etc, allowing a richer experience in social
interaction and broader access to relevant social behavior information. The users of SSN will be
involved with their own consent by agreeing with the applied terms and conditions of usage. The
incentive for participating and being active in these social media regarding their energy consuming
profile will be relying on the fact that they are going to have promotional rate and immediate
messaging from the energy producers when cheap energy is provided due to weather conditions or low
utilization rate.
Figure 2 Fusing social media and energy metering for personalized energy optimization
One of the major innovations of Sirene, is its approach on defining the Key Social Behavioural
Parameters (KSBP) of every energy consumer, in a combinatory approach, by utilizing his energy
consuming profile, with behavioural patterns captured and analyzed through his activity in social
media and networks. This approach is detailed in the figure above. The metering analysis will
produce the energy usage profile for the specific building. This will detail (for instance) that
significant energy is consumed around noon with a consuming pattern (in kW) that is matched with
cooking activity. At the same time variations in consumption will be identified subject to seasonality,
weather conditions, week days etc. A specific profile scheme structured in XML will be produced
along with machine learning classification algorithms that will find similarity matches against well
defined categories of usage.
Through the social media and network monitoring analysis a wide set of attributes will be assessed.
These include among others, how active is the user, how connected he is, what he posts about, at what
times, when he is leaving home, how influential he is in his connections etc. Incentives will be given
to the users to update on specific energy related activities both in the Sirene Social Network and in
other monitored media (such as twitter). This will associate the presence and behavior of the users
with specific metered energy consuming activities and patterns. This will allow for a classification of
users in categories related to social activity criteria resulting thus in the social behavior profile. The
mixture with energy user profile will result in the Key Social Behavioral Parameters (KSBPs).
The parameters, acting as typical key performance indicators (as defined in any evaluated system) will
be subject to further analysis and reasoning applied in order to identify the further incentives that can
be given that will have the maximum impact for optimizing their energy consumption. Subject to this

optimization will be also the acceptability of changes in life styles of these people, measured again
through their social behavior.
1.3.1.3 Decision support for optimal planning and incentives
When considering the supply of power to the load, it is necessary to attend to several characteristics
beyond simple magnitudes. The dynamics of transient events and load characteristics will influence
how the system operates.
Power Balance: Power balance is the concept of matching the provided power to the power required
by the load. The conservation of energy law dictates that power consumed (load power) will always
equal the power generated (source power) in the system, minus losses. This will balance itself,
regardless of the system design, due to the laws of physics. However, this does not always occur with
desirable results (voltage may rise or drop, frequency may deviate, etc.). It is therefore necessary to
plan a system such that power will balance with constructive results. Ideally, the system would have
available all the power it needs and be able to store surplus power locally, or deliver it back to the grid
for distribution to other loads, and do so with optimal power quality. Complexity of balance increases
as distributed RES get integrated in the grid. As such, the grid power will likely act to offset any
deficit or surplus in the power balance between local generation and load.
Time Dynamics & Transients: Converting alternative forms of energy to electricity on-site is
inherently dynamic. Due to momentary, hourly, daily, seasonal, and annual fluctuations in weather
conditions RES production will naturally vary over time. Additionally, the load will vary with time as
electricity usage changes and the system switches between its operational modes. It is the initial design
intent that time dynamics of production and load will be managed as much as possible by storing and
retrieving energy from the grid.
The Sirene approach for dynamic decision support on the supply side exploits both the tactical level
information (as it is the case in the state of the art) such as load characterization, time series of
historical consumption data and seasonality variations, mean squared errors, etc, and the social
behavior data of the users/consumers, as a set of KSBP parameters fed into the system. Through this
the Sirene supply side DSS can perform the ahead scheduling of production and consumption,
associating it with various incentives (including also a dynamic pricing scheme whenever this can be
regarded as incentive) in order to shift load and smooth out any potential peaks. Moreover, though, at
the operational level and given the Sirene system’s ability to capture the consuming behavior of the
user, not only in terms of actual metering, but also as far as it concerns the intentions through
behavioural analysis it can reconfigure any production and supply blend and communicate it
accordingly with the incentives through the social media to the interested citizens that want to
participate in this energy saving scheme. Through this, the system constantly updates the incentive
schemes, which can be tailored to the exact needs of the users, and with a maximum likelihood to get
their attraction.
1.3.2 Validation through Pilots and Use cases
1.3.2.1 Pilots description
The Sirene objectives and results will be validated and evaluated in real-life conditions in two selected
pilot sites that gather all the individual characteristics that can prove the benefits of Sirene. These are
presented in the section below:
Pilot 1: Airport in Belgrade (Serbia): Pilot responsible*
iMP
Airport Nikola Tesla, Terminal 2,
Belgrade, Serbia
PILOT DESCRIPTION
Pilot Place: Belgrade, SERBIA
Pilot Authority: Belgrade “Nikola Tesla” Airport (NTA)
Passengers: 3,363,919 (2012)
Cargo: 7,253 tons (2012)
Aircraft movements: 44,990 (2012)
Website: http://www.beg.aero/

INFRASTRUCTURE DESCRIPTION
Grid Interactions: Public Electricity Grid Connected.
NTA own heating plant (Oil based fuels - Mazut).
Current Electricity/Gas tariffs: 4€ cents per KWh (Electricity) - variable
57 € cents per m3 (Oil-Mazut)
Decentralised Energy Production: -
Alternative Energy Sources Geothermal under development
Energy Storage: Thermal energy storage - boilers
Smart sensors and meters in public
spaces:
Complete meteorological station for outdoor conditions (solar irradiation,
wind velocity, ambient temperature etc.)
Comfort level monitoring in indoor spaces (temperature, humidity pressure
etc.)
Total area/district NTA Area
Airport area
o 58,92 ha
o 317,97 ha
Terminals area: 49,741 m2, Energy consumption 25 GWh/a (2012), 170 000
tons CO2
2 Terminals, 1 Hangar, Cargo City buildings, Office Buildings, Education
Building, Maintenance Buildings, Parking Structures, and Runway
Other ICT infrastructure: SCADA system
o electricity supply and consumption management
o supervision of the fire protection systems
o operation of escalators and elevators
o surveillance system etc.
Wi-Fi Access Point installed at all Buildings
Backbone optic fiber Grid
Sirene
Pilot Buildings and Infrastructures
Type of Buildings / Infrastructures No of Buildings
Public Buildings
(2 Terminals, 1 Hangar, Cargo City buildings, Office
Buildings, Education Building, Maintenance Buildings,
Parking Structures, and Runway)
~10
Public Open Spaces
(parks, parkings, open area visitors)
521indoor
parking spaces,
637 outdoor
parking spaces
High Technologies Rooms
(Central Control Rooms)
2 rooms
TOTAL smart meters Main power
meters for each
building
Pilot Building Users: 483 Staff + 3,363,919 passengers
Pilot Target Audience: Both staff and passengers
Pilot Yearly Energy Consumption: Approx. 25 GWh
Pilot Estimated Annual Energy
Reduction
Due to ICT
Infrastructure
Due to Social
Media
Due to Efficiency
Plant Energy
TOTAL
CO2 and Electricity Consumption
KWh
min. 10% min. 5% - min. 15%
Costs (%) min. 10% min. 10% - min. 20%
Min. Target Sirene savings per year
Energy Cost 1,200,000 Euro / Year
( 0.04€/kWh × 25 GWh × 20% = 200,000.00 Euro)
(0.57€/dm3 x 2,200,200 dm3 x 10%= 125.400,00 Euro)
Saving 325,400.00 Euro per year
*
Nikola Tesla Airport is not participating as partner but its pilot use case will be managed and operated
in full by iMP. An official letter for this is given in Annex I of the Part B document.

Pilot 2: San Martino Hospital (Italy), Responsible partners USMI, UNIGE
San Martino Hospital is a complex energy hub located in the city of Genoa with an average number of visitors
approximately equal to 107.000 persons per year. This relevant number of visitors implies the presence of a
complex structure able to provide all the necessary services, including the satisfaction of energy needs, which are
of significant importance.
In order to satisfy its energy demand, the hospital is equipped with an infrastructure for the generation of heat
(i.e. sanitary water and steam), distributed in all the areas of interest by means of an internal district heating
network. This infrastructure was recently enforced with the construction of a CCHP (cogeneration of cold, heat
and power) plant, connected with the district heating network, the internal and external (i.e. urban network)
electricity grid and with the cold distribution network. The interchange between the electricity grid of San
Martino hospital and the urban grid of the city of Genoa is performed by means of a smart grid, which allows to
manage in the most convenient way the electricity flows.
All these infrastructures are monitored by a diffused network of sensors, which allow to monitor most of the
buildings of the hospitals and on the basis of the data registered, it is possible to control the level of energy
consumption.
The hospital wants to further improve the level of energy services by automating the regulation of their energy
plants, by means of the implementation of a control system able to process quantitative information from the
monitoring system and qualitative inputs from social networks applications. In this way, energy managers will
be able to consider both objective data and “personal feelings” (i.e. cold or hot sensation in an environment), in
order to offer a higher customized service, but, at the same time, by exploiting the new resources available on the
social networks, they can stimulate a virtuous behavior in order to reduce or optimize energy consumption.
IRCCS San Martino Hospital, Genoa
Italy
PILOT DESCRIPTION
Pilot Place: Genoa, ITALY
Pilot Authority: IRCCS
Population of IRCCS: 1.300 patient beds, 5.000 students, 4.500 persons in staff
Visitors & Business Visitors per year: more than 10.000
Population of Genoa Municipality: 582.320
Website: http://www.hsanmartino.it
INFRASTRUCTURE DESCRIPTION
Grid Interactions: Public Electricity Grid Connected (Fuel: Gas-Coal-Oil).
IRCCS own heating system CHP plant (Gas based fuels).
Current Electricity/Gas tariffs: 19 € cents per KWh (Electricity)
70 € cents per m3
(Gas)
Decentralised Energy Production: 3.200 kW Electrical Generators (ready to be connected when the
project start)
Alternative Energy Sources 20 kW Geothermal
Cogenerating Plant (CHP): 3.500 kWth, 3.200 kWe, 1.200 kWcold
Energy Storage: 50 electric cars and charging plots in Facility Hospital area (no public).
Smart sensors and meters in public
spaces:
Weather data in IRCCS not installed –
Other Termic indoor Sensor (all Buildings)
Total area/district IRCCS Area
Area: 14 ha, 818 000 m3
, Energy consumption 75 GWh/a
33 buildings, (263.000 m2, 800.000 m3
), Energy consumption 75 GWh/a
(heating 70 %, electricity 30%)
Other ICT infrastructure: 140 Local SERVER (100 Virtual Server)
Storage100 Tb
50 Camera soutdoor net system
250 Wi-Fi Access Point installed at every storey of all USMI Buildings
Backbone optic fiber Grid
Sirene Type of Buildings / Infrastructures No of Buildings

Pilot Buildings and Infrastructures Public Buildings
(Offices, Pavilion Patients buildings of the various Medicine
Dep., Public services, Logistics, Offices etc.)
33
Public Open Spaces
(parks, parkings, open area visitors)
1.350 parking
spaces, 50
relevant sensors
High Technologies Rooms
(Operating Rooms, Labs, Diagnostic and X-ray rooms)
4.000 m2 OR
5.000 m2 Lab
5.400 m2 DXR
TOTAL smart meters 65%
Pilot Building Users: 4.900 Staff + 40.000 patients+60.000 visititors + 1.000 students=107.000ca
per year
Pilot Target Audience: More than 70,000 citizens per year (including patients and various daily
visitors staff and Students)
Pilot Yearly Energy Consumption: Approx. 75 GWh
Pilot Estimated Annual Energy
Reduction
Due to ICT
Infrastructure
Due to Social
Media
Due to Efficiency
Plant Energy
TOTAL
CO2 and Electricity Consumption
KWh
min. 10% min. 5% - min. 15%
Costs (%) min. 10% min. 10% - min. 20%
Min. Target Sirene savings per year
Energy Cost 8.000.000 Euro / Year
( 0.19 € × 25 GWh × 20% = 950.00,00 Euro)
(0.7 x 50 GWh/10 kWh 7m3
x 20%= 700.000,00 Euro)
Saving 1.650.000 Euro per year
1.3.2.2 Use case example scenario
Below we describe a typical scenario that will be used for the purposes of the pilots validation and
evaluation. It has to be underlined though that the exact use case scenarios will be detailed during the
requirements analysis and specification tasks as defined in the workplan on Section 3.
Alice is working in the Hospital H as a nurse. She has heard about the Sirene service offered by the
administration of the hospital which is delivered in co-operation with the energy utility industry,
which is promoted as a way for citizens to reduce their energy consumption and assist in reduction of
green gas emissions ensuring a sustainable environment. She decides to participate in the project. She
visits the Sirene portal acting as a social network of citizens who work or visit regularly the building
of H , where she registers herself providing information such as her profile, what are some typical
activities she does regarding energy consumption (e.g. cooking) etc. Alice is asked by the Sirene
system to be socially active with other consumers in the Sirene social network and post/discuss on
energy-consuming behavior topics. Other more sensitive information can be provided as well given
and the Sirene portal will preserve her privacy and will not disclose it to others (e.g. personal data,
preferences). At the same time Alice can discuss over Twitter and Facebook about events in the
building that would be of interest for energy saving, for instance by applying a relevant hash-tag (e.g.
very hot today in H #Sirene). This is also part of the incentives for her in order to receive promotional
gifts for energy. When she is using more energy than normal she receives automated messages on her
Sirene account which is accessible also through mobile applications: “More than regular
consumption”, and she can be warned in this way that part of her activity (or activities from other
colleagues or visitors or patients in the building) are consuming a lot of energy. Through this
approach Alice can check if for instance a colleague has forgotten an appliance on without need etc
and take measures to cure this situation.
After a specific period of time, Alice experiences a more interactive communication with the Sirene
system for the benefit of the building she is working in. Alice plans to be the top employee of H this
month in terms of energy saving. Through the Sirene application she is going to get the “top badge”
which is really distinguishing her and thus she is going to get 2 more days off next month… Or
perhaps this free air ticket to her lovely destination.
She is happy that Sirene is actually a system that helps her save energy and make good for her
spending and environment. After some months, she starts to see the benefit in the bill: approximately

20% reduction in energy use, which saves XX euros, and XX CO2 kg of CO2 emissions! She feels
proud for contributing to CO2 emission reduction and a sustainable environment!
1.3.2.3 Strategies to engage users
The Sirene project relies strongly on the active participation of all stakeholders, and in particular the
end users citizens who will be engaged in the pilots. For this reason it has early identified a set of
motivation strategies to attract their interest and motivate them for engagement. The public buildings
participating in the pilots will highlight the benefits of the Sirene services and incentivize accordingly
the participating users (employees and visitors) through special promotions on using social media
campaigns, insights on social networked groups and other related activities.
The administration of the public buildings will deploy their official communication channels to bring
in the pilots users while trying to make as visible as possible all the available incentives.
To recruit users for the validation phases in the pilots, various instruments will be used which have
already made their proofs such as dedicated web sites, social network campaigns (especially in
Facebook and Twitter), dedicated workshop/stands during the various events organized in the city or
in the building, other media (local newspaper, TV channel in buses) etc.
Sirene is an excellent forum for discussions, new idea developments and experimentation of policies
that can facilitate and promote energy saving in public administration buildings. This argument will be
used for contacting policy makers, government official and public authorities and participate in the
pilots of the project giving their valuable feedback. In order to enlarge stakeholder’s communities to
get in the pilots, we will further attempt to find out the emerging key drivers of the participatory
process and the factors that are able to sustain and enhance user recruitment and engagement. Best
practice analysis will be performed on how the Sirene pilots initially enrolled and engaged their
stakeholders and the reasons for which certain modalities or types of events were utilized by them, as
well as how these were tracked, reported and analyzed. These findings may allow the partnership to
better understand and improve process that should facilitate a sustainable involvement of the
stakeholders base in their groups. This may be of support for the pilots in refining their own
stakeholder engagement strategies and plans with clear timescales and responsibilities for the next
project phase, fulfilling the relevant performance indicators.
1.3.3 Positioning of the project and Technology Readiness Levels
In pursuing technical integration, interoperability and federation across different ICT systems in smart
cities and a validation in real-life conditions through the pilot, the project needs to cope with practical
issues, concerning real-life architectures and platforms. To this end, the project brings together
technical partners with significant experience and deep expertise on a wide range of energy
management and decision support architectures and ecosystems, some of them being actually deeply
involved in the design, implementation and commercial exploitation of these systems. The
participation of these partners in the consortium will allow Sirene to have genuine insights on the
technical and non-technical details of several background platforms/architectures to be deployed in the
project. In particular, the following table lists existing platforms (of the project partners) that will be
considered in researching, developing and validating the Sirene final system. The maturity level of the
background sub-systems ensures a more steep realization curve of the final Sirene system and an
appropriate validation phase within the timeframe of the project.
Partner Background System description Technology readiness
level1
And Sirene-scope R&D
advancement
ATOS ATOS has with experience in technology solutions and collaborative
platforms along with competencies in software platforms and
applications for energy efficiency and smart buildings.
TRL 4 – technology
validated in lab.
Enhanced cloud-based
1
According to Annex G of the H2020 Workprogramme
(available at http://ec.europa.eu/research/participants/data/ref/h2020/wp/2014_2015/annexes/h2020-wp1415-
annex-g-trl_en.pdf)

http://www.ireenproject.eu services for energy efficient
buildings.
DAPP Previous R&D work from Energy Warden (ICT management of
energy consumption, storage, and sale), and EPIC-HUB (Energy
Positive Neighbourhoods Infrastructure Middleware based on
Energy-Hub Concept).
validated in lab.
New research on KSBP
based energy planning and
decision support.
TECNAL
IA
In this framework, Tecnalia develops software and ICT tools to
support its research. Tecnalia owns and operates a Test Facility
dedicated to smart grid certification tests aiming at the integration of
distributed generation and renewable sources as well as new electric
meters.
validated in lab.
Enriching the facility with
social network features to
augment the decision
support.
Infili Noima is a product of Infili which collects and processes data from
several thousands of different sources (e.g web sites, blogs, forums,
social media & networks etc). Noima uses Infili's internally
developed component for Information Extraction from unknown web
data sources through automatic web wrapper generation. Noima has
four main components, including the data ingestion and preparation
module, the entity-oriented analytics engine, the graph database based
storage and the workflow and UI elements.
www.infili.com/catId=24
TRL 5–technology validated
in relevant environment
Enhancement with KSBP
analytics and richer
relationship analytics on
energy consumption issues,
integration of more social
networks (such as Sirene
SN).
RUG Factors influencing energy use and energy savings, and effective and
acceptable ways to promote energy efficiency and energy savings
validated in lab.
Dynamic incentives research
and focus on public
buildings
UNIGE Energy data analysis and modelling. Implementation of models to
translate qualitative information form social networks into rules or
quantitative information for energy consumption.
validated in lab.
Predictive model in the case
of a hospital.
USMI Management of the San Martino Hospital pilot plant. Collection of
relevant data of the pilots plant, real-time monitoring,
validated in lab.
Support to the elaboration of
rules for the utilization of
information from social
networks.
iMP iMP will leverage its experience in CASCADE ICT for Energy
Efficient Airports http://www.cascade-eu.org/cms/ and
ENERGYWARDEN Design and real time energy sourcing Decisions
in buildings; http://buildingwarden.com/energywrdn/
IMP was responsible for developing the ICT integration layer, based
on ontology which served as knowledge repository and the
corresponding APIs for communication with other applications, as
well as technical characterization of project pilots where the solution
was implemented.
validated in lab.
Social networking
parameters will be included
in the approaches and
technologies offered.
LeanCiti Consumer View home and appliance consumption and how it
measures up to people like them. Set goals for savings and share on
social networks.
Social Motivation - Through social interaction such as friendly
competitions, customers and buildings become more efficient.
TRL 5–technology validated
in relevant environment
Enriching the social
motivation with features
based on public building
energy savings.
In addition to these platforms most of the partners are involved in prominent (recent) EC co-funded
projects (notably FP7 ICT, and Intelligent Energy projects), which will allow them to take into
account architecture/platform developments carried out in these projects. For more information on the
relevant background and expertise of the partners, please see the individual profile of each partner in
the relative section.

1.3.4 Gender analysis and considerations
The Sirene project will promote gender equality to overall extent of its activities. With respect to this
issue, given that specific domains of reference for the project are all traditionally male dominated, in
case of choice among potential candidates or beneficiaries activities with equal qualification, the
project will give preference to female in order to redress traditional inequities and achieve the best
possible balance among the user group. Evidence of the gender equality approach is the fact that the
project is having a female coordinator, and as it can be seen from partner profiles in section Error!
Reference source not found. an almost equal participation of key staff is anticipated. Dealing with
gender issues must not only be limited to promotion of women within Sirene staff but also promoting
better relationships between genders, division of responsibilities and resources between genders as
well as implication of work within people’s private life. To this extent opportunities for part-time
working will be fostered as well as remote work from home will be advocated whenever this could be
appropriate, for instance in case of maternities.
1.4 Ambition
The Sirene project ambition is to introduce advancements in the following areas:
1) Predictive analytics for energy consumption optimization
2) Energy consuming behaviour and demand aggregation through social networks
3) Business models in energy cost saving and optimization
In the sequel we present an overview of the current state-of-the-art on the aforementioned topics and
the advancements that Sirene is going to introduce.
1.4.1 Predictive analytics for energy consumption optimization
During last decades, smart grids have become a key component for optimizing electrical generation,
distribution and efficient usage of energy. Most of the research has been placed in predictive
algorithms which rely on historical and weather forecasting data in order to predict and model the
energy demand. To this end, artificial Neural Networks (NN) and linear predictive systems have been
designed in different works [5]. Likewise, Support Vector Machine (SVM) techniques have also been
employed for energy-saving prediction and improve energy forecasting [6].
However, the future of smart grids is going beyond this line, raising user awareness about energy
consumption, which will result in altered practices of consumption and energy conservation
behaviours. This smart social grid concept will change the way people consume, relate to and think
about energy. Recent research has been focused on maximizing the social welfare, i.e. the aggregate
utility functions of all users minus the total energy cost [7, 8], and introducing social overlay models
and platforms for smart grids [9,10, 11]. To our knowledge, more research has to be conducted
towards this line with the aim at achieving higher level of energy efficiency by socializing their energy
usage (i. e. exchanging information of their consumption patterns) but without user interaction, only
accounting for past or present occupancy and mobility. In order to solve this drawback, Sirene will
develop an advanced predictive analytic system taking into consideration the social behaviour of the
smart grid through the interaction of their constitutive elements, including end users. Sirene will
contribute to this topic introducing user behavioural features, obtained through social networks, and
likening them with energy habits which, at the end, are related with their energy consumption patterns.
All these concepts will come together through the new paradigm gamification, as a key concept in
order to influence the behaviour of the users, considering not only historical data, but also social
information gathered from different sources such as Facebook or Twitter using pattern mining
approaches.
1.4.2 Demand aggregation and characterization through social networks
Research on sustainable energy use of consumers typically focuses on changing user behaviour (e.g.,
reducing thermostat settings, shorter shower times) or the adoption and use of energy-saving
appliances (e.g., energy-saving light bulbs; e.g. [12]). Smart grids may necessitate an encompassing

approach to promote smart use of energy, including the use of renewables and the adoption of energy-
saving appliances as well as changes in user behaviour (e.g., use less or spread use over time). To our
knowledge, no systematic research has been conducted on whether households or public buildings are
willing and able to engage in this wide spectrum of energy behaviours that may all be needed to
optimise smart grids. For example, it may be that people are no longer motivated to reduce their
energy use when they have installed renewable energy devices or purchased renewable energy
sources, as they might feel they already did their bit. In addition, we will study which incentives are
most effective to encourage users to reduce their energy demand and to increase energy efficiency. It
is often assumed that price incentives are particularly successful in encouraging energy efficiency.
Yet, recent research suggest that other incentives, notably social incentives and environmental appeals,
can be very effective as well, and sometimes even more effective than financial appeals [12,13].
Therefore, we will particularly examine effective ways to employ social incentives, via social network
applications. So, an important question that has not yet been addressed in research is how we can
motivate consumers to actively participate in smart grids in order to optimise the working of such
smart grids. Sirene will exactly address this question. Recent research suggests that one of the most
promising strategies to accomplish this is making use of existing social networks [21]. Therefore,
Sirene will promote energy savings and efficient use of sustainable energy via such networks, in
particular via social media such as Facebook and Twitter.
For instance Facebook has unveiled a new application designed to encourage its users to save energy.
The application is being developed in collaboration with the Natural Resources Defense Council
(NRDC) and utility industry customer engagement platform Opower (opower.com). Consumers who
choose to participate are able to benchmark their home’s energy consumption against a national
average of similarly-sized homes, compare their energy consumption with friends and contacts, enter
energy-saving competitions. The application also enables users to share energy efficiency tips.
Welectricity (http://welectricity.com/about) is a simple, free online service that helps you track and
reduce your electricity consumption at home. It’s designed around a few basic ideas. Such tools
however, consider only the networking of people over their energy consuming styles and behaviors
and aim to socially motivate them for more positive and friendly actions on energy savings. They do
not consider a holistic lifestyle in relation to smart meters, and do not capture the intelligence behind
the information shared between them in order to extract various patterns in district levels.
In Sirene, advanced social media monitoring tools will be deployed that will capture the information in
social networks and media, transform it into actionable knowledge for extracting the social behavior of
the consumer in terms of a predetermined set of attributes. Relationship analytics will be also extracted
from the relations of a consumer in his social network (e.g. how influential is this person in his social
network, the number of ties with others in the social network, how responsive in requests of other
peers for energy saving etc.). Advanced services will be designed and developed containing among
other root-cause analysis between the events and their consequences in energy consumption,
propagation of energy consuming changes in various buildings they are used to visit or work, changes
in what and how people talk about their energy consumption changes etc.
Addressing privacy concerns
Energy saving approaches through usage of social networks necessitate that consumers exchange
information on their energy use with other actors in the network. Consumers may be reluctant to share
information on their energy consumption with others because of privacy concerns. However, recent
research suggests that privacy concerns reduce when people clearly see benefits of being monitored
(Bolderdijk, Steg, &Postmes, [14]). Therefore, we will study which possible benefits users perceive,
and explicitly communicate these expected advantages of participating in the Sirene pilot project to
possible participants. Here, we build upon a recent Dutch study that revealed that participants in a
smart grid project more strongly expect the following benefits from their participation: stronger
community ties, increase use of locally produced energy, positive self-identity and status, and financial
benefits [15]. We will examine whether these benefits are also expected by potential participants of
smart grids in other regions and countries. Also, we will study privacy concerns among participants in
the pilot, and examine which factors affect those concerns, and how possible concerns can best be
mitigated. In addition, we will take special care for the secure exchange and storage of energy use and

other private data of participants. For this purpose, all state of the art technologies on security and
privacy preservation will be considered.
1.4.3 Business models in energy cost saving and optimization
With the current emphasis on environmentally-friendly solutions, dynamic energy pricing may be
exploited as an effective means of utilizing renewable energy while reducing the electricity costs by a
significant amount (i.e., by an average of 20%) [16]. Consumers need access to dynamic electricity
pricing to reduce greenhouse gas (GHG) emissions and save money on their bills [17]. The
Association of Home Appliance Manufacturers (AHAM) released a white paper strongly advocating
that “residential electricity prices must be based on time of use” to fully enable smart grid technology
[17]. Energy pricing may be classified as two major types: i) real-time/dynamic pricing and ii) time-
of-use (TOU) pricing. An economic view of real-time and TOU energy pricing has been presented in
[18] where it is shown that dynamic pricing is the ideal method to capture the true cost of producing
energy [18]. Also, dynamic changes in energy prices provide an incentive for the customer to reduce
their energy consumption during “peak” energy-use hours. Since dynamic energy pricing is expected
to result in a time shift of consumption from peak time to off-peak time, the grid power capacity
requirement reduces, which can result in around 10% gain for the whole energy economy [18]. By
transitioning to dynamic energy pricing and by providing relevant information to the consumers (e.g.,
energy consumption comparison with similar households/facilities), there maybe strong incentives to
reduce the overall energy use to reduce cost or to change the energy usage profile to make it more
environmentally friendly. Yet, the introduction of dynamic prices may reduce intrinsic motivation to
engage in energy saving practices, which may reduce the effects of dynamic pricing, or even
demotivate users to save energy. We will test whether such price incentives are indeed effective in
changing energy demand, and how such incentives affect intrinsic motivation. In addition, we study
public support for such dynamic pricing systems.
It is assumed that a time-based pricing is useful when there is a significant difference between usage
of peak and off-peak times. This is often the case as indicated, for example, by studies published by
the Demand Response Research Center on Automated Critical Peak Pricing [19], which emphasizes
the difference in peak, off peak, and “needle peak” energy demands. The price of one unit of energy
consumption comprises of two parts: (i) A TOU-dependent base price, which is specified in advance,
and captures the slow dynamics of energy usage; an example is the hourly price of a unit of energy
consumption in the current day provided the day before, and (ii) An ‘over-charge’ term, which
penalizes the users when their peak power consumption over some recent window of time goes above
a predetermined TOU-dependent threshold. For example, Power Smart Pricing, a program from the
Ameren Illinois Utilities, provides the customer with the billing price for electricity as it varies –
hourly – based on the actual market price [16]. Participants in the program “saved an average of 20
percent compared with what they would have paid on the standard fixed rate pricing scheme (based on
billing results for December 2007 through December 2009.)”
In Sirene, dynamic incentives (including pricing benefits) and business models will be investigated
that will focus on scheduling energy consuming tasks at different time intervals over a specified time
frame. More specifically, we study both the effectiveness and public support of the schemes. This
method is capable of minimizing the cost of energy consumed by a collection of cooperative users
(similar to well orchestrated and managed buildings). An example scenario for such users would be
office workers in an office building owned by a single owner who pays the full cost of electrical
energy consumed by the office workers in the building. By keeping track of the behavior of the users,
it will be possible to define the effectiveness ratio of a new dynamic price, meaning how likely is that
the consumer will react on this offer.

1.4.4 Positioning and Linking of Sirene in relation to other existing EC projects
Project title
AIM - A novel architecture for modelling, virtualising and managing the energy
consumption of household appliances
Programme,
topic
FP7 ICT for environmental management and energy efficiency (ICT-2007.6.3)
Website(s) www.ict-aim.eu
Summary
AIM's main objective is to foster a harmonised technology for profiling and managing the
energy consumption of appliances at home. AIM introduces energy monitoring and
management mechanisms in the home network and will provide a proper service creation
environment to serve virtualisation of energy consumption, with the final aim of offering users
a number of standalone and operator services. Behind this goal, the main idea is to forge a
generalised method for managing the power consumption of devices that are either powered
on or in stand-by state. Especially for the second category of devices, the project will define
intelligent mechanisms for stand-by state detection, using all-device-fit control interfaces.
Innovation of
SIRENE by
respect to the
project
The energy efficiency framework proposed by SIRENE is radically innovative because it will
combine the use of smart metering devices, also used in the AIM project, with the “big data”
derived from social network sources in order to profile the user behaviour and counter-match
in the most accurate possible way the energy demand with the fluctuating characters of
various types of energy sources. Also, SIRENE is not only aimed at developing and testing of
the technological infrastructure, but also studies consumer experiences and acceptability, and
effects of the decision support system on household energy use and focuses on public
buildings.
Project title BE AWARE - Boosting Energy Awareness with Adaptive Real-time Environments
Programme,
topic
Website(s) http://www.energyawareness.eu/beaware/
Summary The research program in BeAware investigates the energy conservation behaviour from the
users’ perspective, to inform the prototype development as well as to advance the scientific
knowledge of the psychological aspects of electricity consumption. At present, energy
information flows are slow, aggregated, and hidden, being operated by a market lacking
incentives and proper service models. BeAware studies how ubiquitous information can turn
users into active players by developing: (1) An open and capillary infrastructure sensing
wirelessly energy consumption at appliance level; (2) Ambient and mobile interaction to
integrate energy use profiles into users everyday life; (3) Value added service platforms and
models where consumers can act on ubiquitous energy information while energy producers
and other stakeholders gain new business opportunities.
Innovation of
SIRENE by
respect to the
project
The main added value of SIRENE is the profiling and study of user behaviour by exploiting
social media data to support psychological and cognitive studies of energy consumption.
Moreover the social data will be exploited to inform, animate and influence optimal energy
consumption patterns in public buildings.
Project title BeyWatch - Building energy watcher
Programme,
topic
Website(s) http://www.beywatch.eu/
Summary BeyWatch is a 30-month research project supported by the European Commission (DG
Information Society and Media) aiming at ICT tools for environmental management and
energy efficiency. BeyWatch will develop an energy-aware and user-centric solution, able to
provide intelligent energy monitoring/control and power demand balancing at home/building
&neighbourhood level. To reach its objectives, BeyWatch has undertaken the following:
- Design ultra-low energy-consumption white-goods
- Implement methods, techniques and services to reduce the power consumption in

smart/green homes/blocks/neighbours by intelligent control of electrical devices
- Generate hot water and electricity from renewable energy sources at building level,
- Elaborate business plans and business support system (BSS) applications that will
help the users and providers to reach beneficiary contracts
- Motivate user's awareness, towards less CO2 emissions on the whole energy value
chain (production, transportation, distribution, supply) and cleaner environment.
Innovation of
SIRENE by
respect to the
project
SIRENE will provide an efficient scale optimization of energy distribution, production and
consumption by also including stochastic parameters (weather conditions, consumer
behaviour, etc.); these are factors that influence the mean and instant energy consumption
Project title EnerSIP- Energy Saving Information Platform for generation and consumption
networks
Programme,
topic
ICT for Energy Efficiency (ICT-2007.6.3)
Website(s) http://www.enersip-project.eu
Summary To create an adaptive, intelligent and open service-oriented platform that allows end users to
optimise, in near real-time, and to save energy by remotely monitoring, controlling and
coordinating power generation and consumption in neighbourhoods with residential and
commercial buildings. The main of ENERsip project is to create an adaptive, customizable
and service-oriented energy monitoring and control system by active and proactively
coordinating energy, communications, control, computing and construction for near real-time
generation and consumption matching in residential, commercial buildings and
neighbourhoods.
Innovation of
SIRENE by
respect to the
project
SIRENE will facilitate the rationalization and inter-relation of the fluctuating character of the
energy demand by exploiting the behavioural pattern of the citizens in different city areas as
this is going to be captured through metering devices and social media.
Project title SMARTCODE -Smart Control of Demand for Consumption and Supply to enable
balanced, energy-positive buildings and neighbourhoods
Programme,
topic
ICT for energy efficiency (ICT-2009.6.3)
Website(s) https://www.fp7-smartcode.eu
Summary Future buildings and neighbourhoods are expected to combine a manifold of Energy using
Products (“EuP”) ranging from electrical lighting to HVAC with locally available renewable
energies (e.g. solar, wind) and with locally available storages (e.g. car batteries). An
intelligent management of energy in such a local grid would enable customers to participate in
the energy market and even contribute to the stability of the power grid. The objective of
SmartCoDe is to enable the application of demand side management and smart metering in
private and small commercial buildings and neighbourhoods by:
- Developing new methods for automated energy management that specifically
consider the requirements of Energy using Products in homes / offices and local
renewable energy providers such as information security and dependability.
- Demonstration of technical and economic feasibility and benefit of intelligent energy
management in buildings and neighbourhoods with an initial focus on electric
lighting.
Innovation of
SIRENE by
respect to the
project
The rationalization of the fluctuating character of the energy demand with the behavioural
pattern of the citizens in different city areas will be facilitated not by the utilization of smart-
meters but also by the exploitation of social media data and stochastic data such as weather
information. Sirene will provide also the framework and best practices on how to replicate its
findings into various other contexts.

Project title E-Hub for residential and commercial districts and transport
Programme,
topic
ICT for energy efficiency (ICT-2009.6.3)
Website(s) www.e-hub.org
Summary The ambition of this project is to enable the utilisation of the full potential of renewable
energy (up to covering 100% of the energy demand on district level). In order to reach this
goal, the E-hub concept is developed, which is crucial for the implementation of such a large
share of renewable. An E-Hub is a physical cross point, similar to an energy station, in which
energy and information streams are interconnected, and where the different forms of energy
can be converted into each other and/or can be stored. The E-hub exchanges energy via the
energy grids between the different actors (e.g. households, renewable energy plants, offices),
who may be a consumer at one time, and a supplier at another time. The consumers and
suppliers exchange information on their energy needs and energy production with the energy
hub, the hub then distributes the energy available in the most efficient way. The aim of the
proposed project is: to develop the e-hub as a system, to develop technologies that are
necessary to realize the system, to develop business models in order to overcome institutional
and financial barriers, and to demonstrate an E-hub in the form of a real situation and in a few
case studies/feasibility studies.
Innovation of
SIRENE by
respect to the
project
SIRENE focuses on public buildings, which have a lot of other limiting factors and
constraints. Sirene system will include stochastic parameters (weather conditions, consumer
behaviour, etc.) in order to empower the decision support mechanism and then rationalize the
fluctuating character of the energy demand with the behavioural pattern of the citizens in
different city areas as this is going to be captured through metering devices and social media.
1.4.5 Innovations of the project
Sirene is going to be an innovative approach on how decisions are taken in relation to matching
demand and supply side in energy supply systems. It will take in a holistic approach the demand side
aggregation not only in terms of real-time consumption captured by smart metering technologies,
but also by giving them the actual context as it is captured by the social behavior of the consumers. In
particular Sirene will:
Innovation 1: Contribute significantly in energy consumption savings in large public buildings and
validate/demonstrate it through smart energy management concepts in two (2) pilot public building
complex (Nicola Tesla Airport-Serbia and San Martino Hospital-Italy).
Innovation 2: Engage the end user/consumer in the decision support in an interactive and direct
way through the use of social media.
Innovation 3:Make use of existing social networks to promote energy savings and efficient use of
sustainable energy (via existing social networks such as Facebook, Twitter, etc. but also through a
dedicated Sirene social network developed for the purposes of the project.)
Innovation 4:Give the framework for the next generation decision support systems in energy supply,
by extending the spectrum of information used for supporting the decision procedures of the
suppliers.
Innovation 5: Advance the economic and business models by introducing new concepts in energy
saving in public buildings through gamification approaches and through dynamic incentives scheme
that are matching the consumers individual lifestyles. This will lower the barrier for new players to
get in the market and extend thus business models (e.g. social media monitoring, social sciences,
demand aggregation sites, associations of end users in sectors and neighbourhoods in the cities) in the
energy market.

2 Section 2: Impact
2.1 Expected impacts
2.1.1 Contributions towards impacts listed in the work programme
The following table summarizes the project contribution with respect to the expected impact as it is
mentioned in the ICT Workprogramme.
Expected impact SIRENE contribution
Systemic energy consumption and
production and emissions
reduction between 15% and 30%.
Sirene will contribute into a systemic energy saving by at least
15% validated through two pilots and related use cases defined
from real-life conditions. (See objective 5).
This will be achieved through a significant technological result
of the project, namely the Sirene Energy saving framework for
public buildings that will make makes use of smart metering
data and behavioral data of the visitors and workers in the
building, defines optimal energy consuming planning and
strategy, and devises the motivation incentives for the visitors
and workers to implement this optimal planning. (See Result 2)
Accelerate wide deployment of
innovative ICT solutions for
energy efficiency.
Sirene is focused in providing a solution significant energy
efficiency in public buildings that can be replicated across
different contexts in a way that will not require very high
administrative and technical burden. To this end, within its
workplan the project will produce the Sirene business model and
replication plan: a parameterized (according to socio-economic
contexts, business purpose and utilization/occupation models of
the buildings) model on how to replicate the Sirene approach
further and guarantee its Return of Investment and benefits.
(See Result 3).
Greater consumer understanding
and engagement in energy
efficiency.
Sirene bring the end user / energy consumer in the forefront of
participation for achieving energy saving and CO2 reduction.
The project will deliver a gamification and social-rich
application where users register, participate and interact with the
energy management back system in a unobtrusive fashion for
increasing the energy saving of the building. (see Result 1) This
will definitely contribute in the direction of increasing the
consumer understanding and involvement in energy saving
activities.
Table 3: Contributions towards impacts listed in the work programme
2.1.2 Improving Innovation capacity in Europe
Europe’s ability to innovate is key to its success and the prosperity of tis citizens. The strategic and
systematic opening up of internal innovation processes to include external knowledge — in other
words, open innovation — can result in significant competitive advantages. Open innovation is the
practice of problem solving by looking beyond organizational’ boundaries to the outside world and its
experiences and discoveries as part of the innovation process, instead of relying exclusively on the
internal skills of one’s own researchers and developers. The efficiency and effectiveness of innovation
are determined by the organization’s access to knowledge. This is because innovation processes are
ultimately problem- solving processes, which are based on acquiring and processing information and
knowledge.

We can distinguish between two main types of knowledge: Information on needs pertains to the needs
and preferences of customers or users. Precise information on user needs can increase the
effectiveness of an innovation process, as this enables new products, services and solutions to be better
tailored to their requirements, thereby paving the way for successful market launches.
Solution information is (technical) knowledge concerning how a problem or need can be solved or met
by a specific product or service offering (e.g. what new technological interrelationship is required to
meet the need? Which processes are necessary?) Appropriate knowledge of technological solutions
increases the efficiency of the innovation process because it enables faster, more successful
development processes (cost to market and time to market).
The Sirene project is significantly contributing to the open innovation process of European energy
efficiency, by generating knowledge, methods and results that eventually improve and extend the
current frontiers of its innovation capacities. Through the project results:
i. New products and services will be developed that will tighten the relations of the energy
efficient buildings in Europe and facilitate their harmonized operation for the benefit of their
stakeholders. Emphasis is given in deployment of open source software that will form the
basis of further collaboration between the software development communities.
ii. New academic research will be enabled as the project will inspire new research areas,
especially in the innovation management, operational research, social media, Web and Mobile
applications engineering.
iii. Knowledge & Technology Transfer: Another function of academic and industrial research
groups is technology transfer from research to industry. The project will contribute in the
knowledge transfer between participating entrepreneurs teams that will be formed and achieve
thus an “osmosis” in scientific approaches, engineering solutions and analytical methods
applied. By having a European wide exposure, knowledge transfer will eventually lead to a
European level added value of excellence in research.
2.1.3 Assumptions and external factors that may determine whether the impacts will be
achieved
As we described earlier in Section 1, the Sirene project is at a position of having captured the state-of-
the-art technologies in energy management systems and smart cities (combining RES, social networks,
cleanweb technologies etc), and is ready to enhance the state-of-the-art in relevant fields. Therefore,
no technological assumptions are needed as a prerequisite to commence this project.
Factors that may determine whether the above described impacts will be achieved include:
• Positive, responsible and devoted contributions from each individual partner in the
consortium. Each partner in the Sirene consortium has rich experience and necessary
competence to fulfill its commitment assigned to them. This confidence has been proved in
each partner’s participation in other EU projects.
• Close co-operation among partners. Most partners of the Sirene project are carefully selected
from several earlier or ongoing FP6/FP7 project participants. This well-organized consortium
will lead to fruitful results for the project.
• Dissemination activities should be conducted at a wider scale, from a global perspective. The
academic dissemination activities will be obviously performed at a wider international level,
not limited in Europe. For industrial dissemination activities, the consortium will explore
opportunities to extend our activities in emerging markets in other parts of the world.
2.1.4 European Energy policy and social impact
Establishment of a collaboration framework between the ICT sector, the Energy Sector, Public
Authorities and Consumers Associations.
The EU Directive 2009/72/EC of the European Parliament and of the Council requires to Member
States to prepare a timetable with a target of up to 10 years for the implementation of intelligent
metering systems: given a positive assessment of the smart meters introduction, at least 80% of EU

consumers shall be equipped with intelligent metering systems by 2020. In addition, EU countries
must ensure the interoperability of the smart metering systems to be implemented within their
territories and have due regard to the use of appropriate standards and best practice and the importance
of the development of the internal market in electricity. The same directive obliges Member States to
ensure the monitoring of security of supply defining technical safety criteria to ensure the integration
of their national markets at one or more regional levels.
Sirene provides a very innovative way of predicting user energy consumption behavior by combining
meter data with the social context of the human behavior. In addition the cloud-based nature of the
platform facilitates the integration of various sectors and services (via standard Internet TCP/IP
connectivity). Sirene will generate innovative and collaborative business models based on the
collaboration between various actors: energy providers, public building administrators, municipalities,
consumer associations. These business models will be adaptable on dynamic and easily negotiable
service level agreements. A first demonstration is clearly visible in the Sirene consortium, which
groups key players in all these sectors are already planning potential exploitations and will possibly
accelerate any technology transfer from research through open innovation strategy.
Quantifiable and significant reduction of energy consumption & CO2 emissions achieved through ICT
A research provided by the Climate Group “Smart 2020: Enabling low carbon economy in the
information age” (2008) reveals that ICT can significantly improve energy efficiency driving
potentially 1 trillion US$ in energy saving per year by 2020 in the US alone. 340 billion (1.7Gton of
CO2) will come from making buildings smarter – or in other words more aware of their energy
consumption. As 95% of the buildings which will exist by 2020 already exist today, most savings will
come from existing buildings and hence technologies enabling collecting energy data from existing
infrastructure are of great essence.
In Europe, the need to increase energy efficiency is part of the triple goal of the '20-20-20' initiative
for 2020, which means a saving of 20% of the Union's primary energy consumption and greenhouse
gas (GHG) emissions, as well as the inclusion of 20% of renewable energies in energy consumption.
Taking account of these aspects, the Sirene concepts and solution will be developed, simulated and
demonstrated, for different city pilots and different technologies available. The underlying scope of
the Sirene project is to achieve higher energy performances leveraging the potential of the
neighborhood community. The decision support functionalities that are part of the Sirene platform will
be used to provide an unprecedented real-time prediction of energy demand at a neighborhood level.
These data can be used to support more focused and reliable decisions by urban authorities, and will
be the first step to getting a true view of the energy status of a city, considered as an aggregation of
neighborhoods energy communities.
Job Creation
The introduction on the market of new Energy-related public building services will foster the creation
of new jobs, able to support technically, methodologically and financially end-users to exploit the
most for the Sirene results.
2.2 Measures to maximize impact
2.2.1 Dissemination and exploitation of results
Dissemination activities are very important for the project and aim to create and increase awareness
about the Sirene offerings and its benefits, to attract new potential users and customers, to increase the
business opportunities as well as to receive feedback for the project solutions value and acceptance
and to pave the way for new business alliances. Thus, a solid dissemination strategy for the project is
deemed a necessity, in order to make available to the general public and the stakeholders the project
achievements and the lessons learnt. The actual dissemination policies will be based on three major
dissemination channels and their corresponding dissemination activities. Each dissemination policy
will be designed as blend of dissemination activities from one or more channels, with respect to the

respective target group(s) that aims to address. The three channels (in bold) and their component
activities (in italics) are:
Online Dissemination. A project public website will provide a first access point for interested
business parties, organizations and individuals into the Sirene project. Key results will be published on
that website, but also added-value services will be offered such as newsletters, mailing lists or
synchronous and asynchronous communication with project participants. The long-term objective of
the website is to create a community of interested parties (i.e. stakeholders including business
partners) around the project, to accelerate their involvement and to create awareness of the research
results.
Non-Electronic Dissemination. Classical means of knowledge transfer such as articles in topic-
specific journals, brochures (company newsletters), publications in broadcast media, business papers
and monographs focus on the dissemination of project results, mainly to experts and professionals.
Interactive Dissemination. The specific channel will offer a chance for personal interaction in
academic, and commercial conferences, EU organised events and conferences and trade fairs and
exhibitions. The interactive channel of dissemination is intended for target groups with a high level of
information need and involvement and it therefore provides information tailored to highly targeted
audiences. The interactive channel will be the most efficient means for community building and has
the highest impact on dissemination.
High-level dissemination of the Sirene project objectives and results will be conducted through
workshops, including presentations to selected group of enterprises and organizations followed by
discussions and demonstration of case studies, giving the opportunity to potential end users,
participating in the workshop, to experience the project tools’ functionality and review applications
prototypes in selected case studies.
PrintMaterial
Figure 3 – Sirene Dissemination Tools
The Sirene consortium is strongly motivated for providing technological and scientific results that will
be of major importance and interest for the scientific and industry communities. For this reason it has
identified a set of international journals and conferences which have an important impact factor and
broad public awareness respectively. Some indicative are:
Nr Journal title and link Description
1 Applied Energy – Elsevier
http://www.journals.elsevier.com/ap
plied-energy/
Applied Energy provides a forum for information on innovation,
research, development and demonstration in the areas of energy
conversion and conservation, the optimal use of energy resources,
analysis and optimization of energy processes, mitigation of

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