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Page 1: OPTIMUS Final Report Final Report_Part B.pdf · Decision Support Approach 4 Forecasting electrical consumption of commercial buildings using energy performance indicators Spiliotis

FP7/608703

OPTIMUS

Final Report

Part Β: “Use and

Dissemination of Foreground

/ Report on Societal

Implications”

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PROJECT PERIODIC REPORT

Grant Agreement number: 608703

Project acronym: OPTIMUS

Project title: OPTIMising the energy USe in cities with smart decision support system

Funding Scheme: FP7- ICT-2013.6.4

Period covered: from 1st October 2013 to 30th September 2016

Name, title and organisation of the scientific representative of the project's coordinator:

Prof. John Psarras, Project Coordinator, National Technical University of Athens

Tel: +30 210 7723551

Fax: +30 210 772 3550

E-mail: [email protected]

Project website address: http://www.optimus-smartcity.eu

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Contents

1 Use and Dissemination of Foreground ........................................................................... 4

1.1 Dissemination Measures (Public) ............................................................................ 4

1.2 Exploitable Foreground (Confidential) ....................................................................16

1.2.1 OPTIMUS SCEAF ...........................................................................................18

1.2.2 OPTIMUS TRACKER ......................................................................................19

1.2.3 Data Capturing Modules ..................................................................................21

1.2.4 Semantic Framework ......................................................................................22

1.2.5 Prediction Models ............................................................................................23

1.2.6 Set of Inference Rules .....................................................................................24

1.2.7 TCV Web App .................................................................................................26

1.2.8 DSS Engine ....................................................................................................27

2 Report on Societal Implications .....................................................................................29

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1 Use and Dissemination of Foreground

1.1 Dissemination Measures (Public)

TABLE 10: LIST OF SCIENTIFIC (PEER REVIEWED) PUBLICATIONS

Nο Title Main author Title of the

periodical or the series

Number, date or

frequency Publisher

Place of publication

Year of publication

Relevant pages

Permanent identifiers1

(if available)

Is/Will open access2

provided to this

publication?

1

How “OPTIMUS” is a city in terms of

energy optimization? e-SCEAF: A web based decision

support tool for local authorities

Papastamatiou I.

Information Fusion Vol. 29,

2016 Elsevier 2016 149-161

DOI: 10.1016/j.inffus.2015.10.002

2

A Framework to Assess the Behavior and Performance of

a City Towards Energy Optimization

Androulaki S.

Chapter of the Book “Intelligent

Computing Systems: Emerging Application Areas”

Vol. 627, 2016

Springer 2016 189-205

DOI: 10.1007/97

8-3-662-49179-9_9

3

Enabling Local Authorities to

Produce Short-Term Energy Plans: A Multidisciplinary

Androulaki S.

Management of Environmental

Quality

Vol 27, 2016

Emerald 2016 146-166

DOI: 10.1108/M

EQ-02-2014-0021

1 A permanent identifier should be a persistent link to the published version full text if open access or abstract if article is pay per view) or to the final manuscript accepted for publication (link to article in repository). 2 Open Access is defined as free of charge access for anyone via Internet. Please answer "yes" if the open access to the publication is already established and also if the embargo period for open access is not yet over but you intend to establish open access afterwards.

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Decision Support Approach

4

Forecasting electrical

consumption of commercial buildings

using energy performance

indicators

Spiliotis E. International

Journal of Decision Support Systems

Vol. 1 No. 2, 2015

Inderscience Publishers

2015 164-182

5

The Overall Architecture of a Decision Support System for Public

Buildings

Capozzoli A. Energy Procedia June 14-17, 2015

6th International Building Physics Conference 2015

Turin, Italy 2015 2196-2201

DOI: 10.1016/j.egypro.2015.

11.318

6

Building Energy Management

Systems using an Innovative “Smart

City Platform”

Doukas H. Conference Proceedings

12 November

2016

International Conference “Energy in

Buildings 2016”

Athens, Greece

2016

7

OPTIMUS Decision Support Tools: Transforming

Multidisciplinary Data to Energy

Management Action Plans

Doukas H. IEEE - Conference

Proceedings 13-14 July

2016

The 7th International

Conference on Information, Intelligence, Systems and

Applications (IISA 2016)

Chalkidiki, Greece

2016

8

Management strategies for the energy saving of public buildings

through a Decision Support System

Capozzoli A. Conference Proceedings

18-19 February,

2016

Sustainable Built Environment 2016

Towards post-carbon cities (SBE

2016)

Torino, Italy

2016 ISSN 2283-

8791

9

Building a semantic-based decision

support system to optimize the energy

Sicilia A. Conference Proceedings

September 16, 2015

Sustainable Places 2015 event

Savona, Italy

2015 ISBN13: 979-10-

95345-00-8

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use in public buildings: the

OPTIMUS project

10

An Advanced and Integrated turn-key Solution for Smart

Energy Cities

Doukas H. Conference Proceedings

9-11 June 2016

5th International Symposium and

27th National Conference on

Operational Research

Athens, Greece

2016 ISBN 978-618-80361-

6-1

11

Energy Use Optimization in

Cities: Innovative Technological

Solutions for the Local Authorities

Marinakis V. Conference Proceedings

October 7-9, 2015

8th International Scientific

Conference Energy and Climate Change –

Contributing to deep

Decarboniation

Athens, Greece

2015 ISBN: 978-618-82339-

2-8

12

Α Holistic Decision Support Framework

for Smart Cities Energy Assessment

and Optimization

Papastamatiou I.

Conference Proceedings

11-13 September

2016

8th International Conference on Sustainability in

Energy and Buildings (SEB-16)

Turin, Italy 2016

13

Optimizing energy use in cities through

Smart Decision Support Systems

Zoellner S. June 18,

2015

EU Sustainable Energy Week 2015

(EUSEW 2015), Workshop: Energy Management for

Sustainable Action Plans

Brussels, Belgium

2015

14 OPTIMUS Smart

City Project Zoellner S.

April 11, 2015

ICLEI World Congress 2015, D4: Smart City

Solutions

Seoul, South Korea

2015

15

Integrating a Decision Support

System with Smart Grid Infrastructures

Spiliotis V. IEEE - Conference

Proceedings 13-14 July

2016

The 7th International

Conference on Information,

Chalkidiki, Greece

2016

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and ICT Solutions towards Energy Cost

Reduction

Intelligence, Systems and

Applications (IISA 2016)

16

Optimal Thermal Power Production by

means of an Equivalent Electric

Circuit for a Thermal Network: the Savona

Campus Smart Polygeneration Microgrid Case

Delfino, F. IEEE - Conference

Proceedings 13-14 July

2016

The 7th International

Conference on Information, Intelligence, Systems and

Applications (IISA 2016)

Chalkidiki, Greece

2016

17

Reducing Energy and CO2 Emissions

at the City Premises: A Decision Support System for Local

Authorities

Spiliotis E. Conference Proceedings

9-11 June 2016

5th International Symposium and

27th National Conference on

Operational Research

Athens, Greece

2016 ISBN 978-618-80361-

6-1

18

A Semantic Decision Support System to optimize the energy

use of public buildings

Sicilia A. 27-29

October, 2015

32nd International CIB W78

Conference

Eindhoven, the

Netherlands

2015 Link

19

Energy Management in Hybrid Systems Coupling PV and Electrical Storage

Brignone M. IEEE - Conference

Proceedings 6-8 July

2015

6th International Conference on

Information, Intelligence, Systems and

Applications (IISA 2015)

Ionian University,

Corfu, Greece

2015 ISBN: 978-146739311

-9

20

A Web Tool for Assessing the Energy Use of Buildings: First

Results from Real Life Application

Papastamatiou I.

IEEE - Conference Proceedings

6-8 July 2015

6th International Conference on

Information, Intelligence, Systems and

Ionian University,

Corfu, Greece

2015 ISBN: 978-146739311

-9

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Applications (IISA 2015)

21

A framework for integrating User

Experience in Action Plan Evaluation through Social

Media

Spiliotis E. IEEE - Conference

Proceedings 6-8 July

2015

6th International Conference on

Information, Intelligence, Systems and

Applications (IISA 2015)

Ionian University,

Corfu, Greece

2015 ISBN: 978-146739311

-9

22

Current Trends of the Decision Support

Systems for the Energy Performance

of Buildings

Doukas H. Conference Proceedings

June 4-6, 2015

4th International Symposium and

26th National Conference on

Operational Research

Chania, Greece

2015

23

An Information Management Software for

assessing smart energy systems- Exploiting cities’

multidisciplinary data

Papastamatiou I.

IEEE - Proceedings of

IISA 2014

July 07 – 09, 2014

Proceedings of the 5th International Conference on

Information, Intelligence, Systems and

Applications (IISA 2014)

Chania Crete, Greece

2014 DOI: 10.1109/IISA.2014.6878751

24

Development and assessment of Decentralized

Energy Management System in a smart

Microgrid

Delfino F. IEEE -

Proceedings of IISA 2014

July 07 – 09, 2014

Proceedings of the 5th International Conference on

Information, Intelligence, Systems and

Applications (IISA 2014)

Chania Crete, Greece

2014 DOI: 10.1109/IISA.2014.6878751

25

Proposing a Smart City Energy Assessment

Framework linking local vision with data

sets

Androulaki S.

IEEE - Proceedings of

IISA 2014

July 07 – 09, 2014

Proceedings of the 5th International Conference on

Information, Intelligence, Systems and

Chania Crete, Greece

2014 DOI: 10.1109/IISA.2014.6878751

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Applications (IISA 2014)

26

Intelligent Rule for Set Point

Management in Buildings towards

acceptable Levels of Comfort and Energy

Savings

Skondrogianni Ch.

17-18

December, 2015

4th Student Conference of the

Hellenic Operational

Research Society "Operational Research:

Opportunities and Challenges within

the Crisis"

Athens, Greece

2015

27

Web-based Tool for the Identification of Energy, Cost and CO2 Emissions

reduction targets of the Municipal

Buildings

Tsapelas J. 17-18

December, 2015

4th Student Conference of the

Hellenic Operational

Research Society "Operational Research:

Opportunities and Challenges within

the Crisis"

Athens, Greece

2015

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TABLE 11: LIST OF DISSEMINATION ACTIVITIES

Type of activities3

Main leader Title Date/Period Place Type of audience4 Size of

audience Countries addressed

Conference NTUA Introducing the OPTIMUS

project 1 February,

2014 Zaanstad,

Netherlands Enterprises, Public body,

University 200 National

Conference Comune di

Savona Regional Info Day “Energy”

11 February, 2014

Genoa, Italy Enterprises, Public body,

citizens 100 Regional

Conference FUNITEC 6th eeSemantics VoCamp on

Linked Data in Architecture and

Construction ‐ LDAC 2014

26-27 May, 2014

Espoo, Finland

Researchers 40 European

Conference Comune di

Savona BORSA DELLA RICERCA

13-14 May, 2014

Bologna, Italy

Enterprises, Public body, University

100 National

Conference Comune di

Savona OCOVA AlpMedNet FORUM 5-6 June, 2014 Genoa, Italy

Enterprises, Public body, citizens

110 European

Conference Comune di

Savona

Led lighting and energy savings: an opportunity for

businesses 18 June, 2014 Genoa, Italy

Enterprises, Public body, citizens

100 European

Conference D'APPOLONIA, UNIGE, NTUA

5th International Conference on Information, Intelligence,

Systems and Applications 7-9 July, 2014

Athens, Greece

Researchers 200 International

Conference ICLEI Local Renewables 22-24 October,

2014 Freiburg Germany

Enterprises, Public body, University

200 European

Conference FUNITEC Building energy information

systems 20 December,

2013.

Col.legi d'Arquitectes

de Catalunya, Barcelona,

Spain

Architects 30 Local/

Regional

Conference Comune di

Savona CPExpo 2014 & SRC Security

Research Conference 2014 9-11 November,

2014. Genoa,

Porto Antico Enterprises, Public body,

citizens 400 European

3 A drop down list allows choosing the dissemination activity: publications, conferences, workshops, web, press releases, flyers, articles published in the popular press,

videos, media briefings, presentations, exhibitions, thesis, interviews, films, TV clips, posters, Other. 4 A drop down list allows choosing the type of public: Scientific Community (higher education, Research), Industry, Civil Society, Policy makers, Medias, Other ('multiple

choices' is possible).

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Conference Centre

Workshop ICLEI 4th Technical Workshop with the Covenant practitioners’ group

3 February, 2015

Brussels, Belgium

Technical Practitioners city benchmarking

30 European

Conference Comune di

Savona

La Ricerca che crea innovazione per un futoro

sostenibile FOR A SUSTAINABLE

FUTURE"

20 February, 2015

Genoa, Italy Enterprises, Public body,

citizens 30 Regional

Conference ICLEI ICLEI World Congress,

Workshop Smart City Solutions 11 May, 2015 Soeul

Local authorities/practitioners,

1000 International

Conference TECNALIA VIIth International Congress on

Architectural Envelopes 27-29 May,

2015

San Sebastian,

Spain Architects, Urban planners 300 International

Conference ICLEI Resilient cities 8-10 June, 2015 Bonn,

Germany City leaders,

entrepreneurs and experts 300 European

Workshop ICLEI EUSEW - Workshop: Energy Management for Sustainable

Action Plans 18 June, 2015

Brussels, Belgium

Local authorities/practitioners

60 European

Conference NTUA 4th International Symposium

and 26th National Conference on Operational Research

4-6 June, 2015 Chania, Greece

Academia and Research 120 International

Conference POLITO Building Physics for a

Sustainable Built Environment 14-17 June,

2015 Torino, Italy

Scientists, researchers and practitioners

700 International

Conference ICLEI Urban Management Tools for

Climate Change, IHS Erasmus University Rotterdam

25 June, 2015 Rotterdam, Netherlands

City Develpment Parctitioners

15 European

Conference NTUA, UNIGE

6th International Conference on Information, Intelligence,

Systems and Applications (IISA 2015)

6-8 July, 2015 Corfu, Greece

Academia and Research 350 International

Conference FUNITEC,

D'APPOLONIA Sustainable Places

16 September, 2015

Savona, Italy

Local authorities/practitioners, researchers & industry

300 European

Summer School

FUNITEC 1st Summer school on smart

cities and open data 7-12 June, 2015

Madrid, Spain

Students 50 European

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Conference NTUA

8th International Scientific

Conference "Energy and

Climate Change Contributing to

Deep Decarbonization"

7-9 October 2015

Athens, Greece

Academia and research 120 International

Conference ICLEI 1st European Smart Cities

Project Coordinators Meeting 13 October,

2015 Brussels, Belgium

project leaders, architects, town planners

59 European

Conference ICLEI Open & Agile Smart Cities –

Creating the European Smart City Market

14 October, 2015

Brussels, Belgium

Local authorities/practitioners

80 European

Conference ICLEI ICLEI Europe - Membership

Assembly 15 October,

2015 Brussels, Belgium

Local authorities/practitioners

80 European

Conference TECNALIA II Congreso Edificios

inteligentes 27-28 October,

2015 Madrid, Spain

Scientists, researchers and practitioners

200 National

Conference FUNITEC CIB W78 27-29 October,

2015 Eindhoven Researchers 90 European

Conference ICLEI Think European, act local - L'Europe et le changement

climatique en Alsace

29 October, 2015

Strasbourg, France

Local authorities/practitioners

100 European

Conference NTUA «Be Part of the Future»: Deep

Energy Renovation Conference and Workshops

5 December 2015

Athens, Greece

City energy managers and facility / building

managers, energy agencies, companies,

researchers

300 International

Conference FUNITEC, Sant

Cugat Smart City Expo

17-19 November, 2015

Barcelona, Spain

Energy managers and practitioners form the

region 1000 European

Conference NTUA

4th Hellenic Students Conference by the Hellenic

Operational Research Society (HELORS)

17-18 December 2015, Athens, Greece

Athens, Greece

Academia and research 150 National

Conference Zaanstad G-32 Network (regional

network) 12 February,

2016 Zaanstad,

Netherlands

Energy managers and practitioners form the

region 40 Regional

Conference FUNITEC OpenDataCity 17 February,

2016 Madrid, Spain

Researchers 12 National

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Conference FUNITEC OpenDataCity - open meeting 18 February,

2016 Madrid, Spain

Researches 50 National

Conference POLITO SBE2016 18-19 February,

2016 Torino, Italy

Urban planners, built environment stakeholders

and policy makers 200 European

Conference TECNALIA World Energy Days 24-26 February,

2016 Wels,

Austria

Energy managers and practitioners form the

region 700 European

Conference ICLEI Sustainable Built Environment 8-11 March,

2016 Hamburg, Germany

Energy managers and practitioners form the

region 700 European

Conference ICLEI PLEEC final conference 8 March, 2016 Hamburg, Germany

Energy managers and practitioners form the

region 120 International

Workshop NTUA

6th Workshop on Smart Grids "Cooperation of the Hellenic

Electricity Distribution Network Operator with Greek

Universities"

6 April 2016 Athens, Greece

Academia and research, energy agencies, energy

providers, companies 60 National

Conference NTUA

The status of Energy Poverty in Greece and the contribution of green and social innovation to

address it

20 April 2016 & 19 June 2016

Athens, Greece

City energy managers and facility / building

managers, energy agencies, companies,

researchers

100 National

Conference FUNITEC Deustotech presentation 27 April, 2016 Bilbao, Spain

Researchers 15 Local

Conference ICLEI ESCT 27-29 April,

2016 Bilbao, Spain

Local authorities/practitioners

850 International

Conference Sant Cugat, Zaanstad,

UNIGE

Smart City Event Amsterdam (special session during the

event) 9 June, 2016

Amsterdam, the

Netherlands

City managers, experts in smart city field

1000 European

Conference NTUA 5th International Symposium

and 27th National Conference on Operational Research

9-11 June 2016 Athens, Greece

Academia and research 120 International

Conference NTUA, UNIGE 7th International Conference on

Information, Intelligence, 13-15 July 2016

Chalkidiki, Greece.

Academia and research, energy/IT experts

400 International

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Systems, and Applications (IISA 2016)

Conference NTUA Sustainability in Energy and

Buildings (SEB-16) 11-13

September 2016 Torino, Italy Academia and research 100 European

Conference POLITO, NTUA,

FUNITEC

DIMMER-INDICATE-OPTIMUS common WORKSHOP

14-15 September,

2016 Torino, Italy

Partners of other European Projects

30 European

Workshop NTUA

Public Power Cooperation (the biggest electric power company in Greece) Workshop on Smart

Grids

19 October 2016

Athens, Greece

Utilities, energy providers and companies

100 National

Conference FUNITEC Local Renewables Conference. Energizing the smart city and

region

27 October, 2016

Freiburg Germany

Researchers, local administrations

200 International

Conference Sant Cugat Smart City Expo World Congress

15-17 November 2016

Barcelona, Spain

Experts and leaders of the world’s most

innovative cities, companies,

research centres and international organizations

300 International

Conference NTUA International Conference

“Energy in Buildings 2016” 12 November

2016 Athens, Greece

Academia and research, engineers

300 International

Media NTUA Building Green Magazine 2 April 2016 Architects, technicians n/a National

Media NTUA energypress 1 March 2016 Energy sector

(practitioners, investors) n/a National

Media ICLEI European Energy Innovation

All major European stakeholders in the

energy, construction and transport industries throughout the EU

including associations such as BPIE. In Brussels

it is also distributed to MEPs and senior

members of the European Commission.

21,000 per issue.

European

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Media Il Venerdì di Repubblica General public. 522,858 (2010)

National

Media INGENIO 5 April 2016

Technical professionals working in the energy sector, researchers,

academics, professional associations.

90,793 National

Media La Stampa General public. 256,203 (2012)

National

Media ae-architetturaecosostenibile.it 4 March 2014 Eco-sustainable

architecture. n/a National

Media Canale Energia (e7)

Energy managers, Policy makers (local government,

public administration), Engineers, consulting.

11,400 National

Media NTUA euro2day 1 March 2016 Corporate, business,

investment. n/a National

Media ICLEI Energy Efficiency Business &

Industry April 2016

Energy managers, Policy makers (local government,

public administration), Engineers, consulting.

20757

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1.2 Exploitable Foreground (Confidential)

19 A drop down list allows choosing the type of foreground: General advancement of knowledge, Commercial exploitation of R&D results, Exploitation of R&D results via standards, exploitation of results through EU policies, exploitation of results through (social) innovation. 6 A drop down list allows choosing the type sector (NACE nomenclature) : http://ec.europa.eu/competition/mergers/cases/index/nace_all.html

TABLE 12: Exploitable Foreground

Type of Exploitable

Foreground5

Description

of exploitable foreground

Confidential

Click on YES/NO

Foreseen embargo

date

dd/mm/yyyy

Exploitable product(s) or measure(s)

Sector(s) of application6

Timetable, commercial or any other

use

Patents or other IPR

exploitation (licences)

Owner & Other Beneficiary(s)

involved

Commercial exploitation

of R&D results

Data capturing modules

NO n.a. n.a.

Engineering activities and

related technical consultancy

2017-2018 n.a.

NTUA, ICLEI, POLITO, D’APP

(owner), SENSE ONE

Commercial exploitation

of R&D results

TRACKER NO n.a. n.a.

Engineering activities and

related technical consultancy

2017-2018 n.a. NTUA (owner)

Commercial exploitation

of R&D results

Semantic Framework

NO n.a. n.a.

Engineering activities and

related technical consultancy

2017-2018 n.a. FUNITEC

(owner), ICLEI, SENSE ONE

Commercial exploitation

of R&D results

DSS Engine and Interfaces

NO n.a. n.a.

Engineering activities and

related technical consultancy

2017-2018 n.a.

NTUA, FUNITEC

(owner), ICLEI

Commercial exploitation

Prediction Models

NO n.a. n.a. Engineering activities and

13related

2017-2018 n.a. NTUA,

FUNITEC (owner),

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of R&D results

3technical consultancy

TECNALIA, POLITO

Commercial exploitation

of R&D results

Set of Inference

Rules NO n.a. n.a.

Engineering activities and

related technical consultancy

2017-2018 n.a. NTUA, ICLEI,

POLITO (owner)

Commercial exploitation

of R&D results

SCEAF NO n.a. n.a.

Engineering activities and

related technical consultancy

2017-2018 n.a.

NTUA (owner), ICLEI

Commercial exploitation

of R&D results

Thermal Comfort Validator

(TCV)

NO n.a. n.a.

Engineering activities and

related technical consultancy

2017-2018 n.a. NTUA (owner)

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The following paragraphs collect the description of the results identified and the role that partners

had in the development of such items. The content of the paragraphs is based on the current, shared

view of development derived from the partners (see deliverable D5.10 “Exploitation Planning and

Service Business Model”).

1.2.1 OPTIMUS SCEAF

Result title OPTIMUS SCEAF

Responsible partner NTUA

Description of the

result

A framework to assess the energy optimization progress of a city or building(s),

available in two versions: Building level and City level.

The SCEAF is used to evaluate a building or a city prior to (ex-ante) and following

(ex-post) a series of energy optimization actions. The SCEAF evaluates 21

indicators, structured under 3 pillars: “Political Field of Action”, “Energy and

Environmental Profile” and “ICT and Infrastructures”. It is designed to monitor the

progress towards energy optimization, reveal strengths and weaknesses and to

facilitate comparisons of the energy performance between buildings or cities.

What is the innovation

content of the result?

The main aim of the SCEAF is to direct “Smart Cities” to energy optimization by

highlighting the strengths, the vulnerabilities and the opportunities given the

existing energy strategy, environmental policy, municipal facilities and related

infrastructures of each city.

The advantage of using such a methodological tool is that the progress of each

city can be revealed by analysing and assessing its status on a systematic basis.

The added value of the SCEAF is that it is an assessment tool that clearly

indicates underperforming sectors, providing to authorities a clear overview of the

city performance per sector in order to be able to lead targeted energy Action

Plans.

The framework can be applied in parallel with the application of any decision

support tool or energy management strategy, in an ex-ante and ex-post basis, as

well as independently.

In this scope, ex-ante SCEAF will provide a baseline picture of the situation of the

municipality, while ex-post SCEAF will depict the situation of the municipality after

the improvement actions applied. Thereby, all the actions a city authority applies

towards energy optimization can be evaluated directly for their effects on

environmental and energy issues by tracing the evolution of the score achieved

in the respective fields.

What are the

application fields?

Energy management and energy use optimization in municipal buildings also

assessing the political commitment of the administration.

Assessment of buildings of corporate organizations under the scope of corporate

responsibility.

It can be used as a tool of transparently proving energy optimization, emissions

and energy cost reduction and increase of RES production.

Who are the potential

customers? Building energy managers, local authorities, other organization administrations

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What are the benefits

for the customers?

Facilitation of energy use optimization in terms of energy consumption reduction,

CO2 emissions reduction and energy cost reduction. The occupants’/employees’

active participation and inclusion in energy decision making, as well as the

exploitation of ICT solutions towards energy optimization are also considered.

Who are the

competitors of this

result?

Other tools for Smart City Assessment, indicatively:

a) IBM offers the Smarter Cities Assessment-a tool for assessing performance

and overall capabilities against peer cities. In addition, benchmarks can help

your city identify areas of improvement and develop a comprehensive city

strategy.

b) Research project results, such as http://www.smart-cities.eu/model.html

When is the expected

date of achievement in

the project (Mth/Yr)?

1st version: January 2015

Final version (ex-ante tested): September 2016

When is the time to

market (Mth/Yr)? Short, less than 1 year after the end of the project

What are the costs to

be incurred after the

project and before

exploitation?

Limited, a few k€

What is the

approximate price

range of this result /

price of licenses?

Limited, a few k€

Which are the

OPTIMUS partners

involved in the

development?

NTUA, City of Savona, City of Zaanstad, City of Sant Cugat

Which are the

OPTIMUS partners

interested in the

commercialization?

NTUA

Which could be

barriers for

implementation?

Absence of input data

1.2.2 OPTIMUS TRACKER

Result title OPTIMUS TRACKER

Responsible partner NTUA

Description of the

result

A web tool for the energy managers, in order to assess the potential of the city /

building for energy optimization and identify specific buildings where the

OPTIMUS DSS can be applied.

Providing information on energy consumption overall figures and selecting Action

Plans that are more suitable for application in the buildings, OPTIMUS TRACKER

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offers the opportunity to create different scenarios of the DSS application. These

scenarios can be compared in terms of the expected impacts, through the

calculation of the DSS indicators:

Reduction of energy consumption.

Reduction of CO2 Emissions.

Energy cost reduction.

Increase of RES production.

In this way, the energy manager can take the decision to plug in single buildings

and/or buildings connected to energy production and other energy systems.

What is the innovation

content of the result?

Users can create multiple scenarios and compare their potential results before

deciding which Action Plans to implement. Users can also view the results both

for the whole city and for specific buildings

What are the

application fields? Energy management

Who are the potential

customers?

Cities and in general facilities who directly manage their own production of energy

from renewable sources and their energy systems

What are the benefits

for the customers?

Customers can monitor the annual energy status of their buildings and estimate

the impact of the implementation of selected Action Plans, with regard to the long-

term targets

Who are the

competitors of this

result?

Building energy managers, energy consultancies and Energy Service Companies

When is the expected

date of achievement in

the project (Mth/Yr)?

Accomplished in the 3rd year

When is the time to

market (Mth/Yr)? Short, less than 1 year after the end of the project

What are the costs to

be incurred after the

project and before

exploitation?

Limited, a few k€

What is the

approximate price

range of this result /

price of licenses?

Limited, a few € per year of use

Which are the

OPTIMUS partners

involved in the

development?

NTUA

Which are the

OPTIMUS partners

interested in the

commercialization?

NTUA

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Which could be

barriers for

implementation?

Absence of input data

1.2.3 Data Capturing Modules

Result title Data Capturing Modules

Responsible partner D’APPOLONIA

Description of the

result

Modules for acquisition of site specific data, each developed by the various

partners:

a) Weather forecast: 7-day forecast, with daily information delivered at a fixed

time to the customer, compared to the real time flows coming from the sensors

installed on the spot

b) Energy prices

c) Decentralized sensors

d) Occupants’ feedback

e) Energy production from RES

What is the innovation

content of the result?

a) The weather forecast module is able to provide a comparison of the forecast

and the actual field conditions, for the creation of real time energy balances.

b) The energy prices module gives indication on the actual costs applicable for

those who can adjust their energy contract to the current tariffs.

c) Decentralized sensors indicate the real time conditions on the spot by

providing measurements of specific parameters such as the temperature,

humidity, etc.

d) The occupants’ feedback module is intended to gather the feedback about

the comfort conditions of the occupants and other energy-related issues.

e) The module for RES production informs on the current level of self-production

of energy of the connected renewable energy systems.

What are the

application fields? Energy modelling, weather forecast, energy tariffs, social media/mining

Who are the potential

customers?

Cities and in general facilities who directly manage their own production of

energy from renewable sources and their energy systems

What are the benefits

for the customers?

Possibility to customize the data acquisition based on the actual availability of

sensors and tools

Who are the

competitors of this

result?

c) All service providers of forecasts

d) Energy Service Companies

e) Engineering/ICT consultants

f) –

g) Energy Service companies, Engineering/ICT consultants

When is the expected

date of achievement in

the project (Mth/Yr)?

Accomplished in the 2nd year

When is the time to

market (Mth/Yr)? Short, less than 1 year after the end of the project

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What are the costs to

be incurred after the

project and before

exploitation?

Limited, a few k€

What is the

approximate price

range of this result /

price of licenses?

Limited, a few k€

Which are the

OPTIMUS partners

involved in the

development?

City of Savona, City of Zaanstad, City of Sant Cugat, FUNITEC, NTUA, DAPP

Which are the

OPTIMUS partners

interested in the

commercialization?

City of Savona, City of Zaanstad, City of Sant Cugat, FUNITEC, NTUA, DAPP

Which could be

barriers for

implementation?

a) Need of an external provider for the forecast parameters

b) None

c) None

d) Copyright/royalties for the social media

e) None

1.2.4 Semantic Framework

Result title Semantic Framework

Responsible partner FUNITEC

Description of the

result

A communication system based on Semantic Web technologies to gather data

from distributed sources with the purpose of contextualize them in specific

contexts. It is based on the publish-and-subscribe communication pattern which

has been implemented with the Ztreamy system, a semantic service implemented

as a Python application. This service processes and contextualizes the data

acquired from multiple sources. The Semantic Framework uses the Virtuoso

triple-store as a data repository.

What is the innovation

content of the result?

It is a communication system that integrates data from multiple sources and

domains using Semantic Web technologies

What are the

application fields? Energy management data

Who are the potential

customers? Middleware developers

What are the benefits

for the customers?

Flexible integration of data from multiple sources (monitoring systems, Web

Services, CSV files…) using Semantic Web technologies.

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Who are the

competitors of this

result?

Monitoring systems

When is the expected

date of achievement in

the project (Mth/Yr)?

Accomplished in the 1st year

When is the time to

market (Mth/Yr)? Short, less than 1 year after the end of the project

What are the costs to

be incurred after the

project and before

exploitation?

Limited, a few k€

What is the

approximate price

range of this result /

price of licenses?

Limited, a few k€

Which are the

OPTIMUS partners

involved in the

development?

FUNITEC

Which are the

OPTIMUS partners

interested in the

commercialization?

FUNITEC

Which could be

barriers for

implementation?

Strong dependence with the data capturing modules. It requires a reliable triple

store to integrate the data.

1.2.5 Prediction Models

Result title Prediction Models

Responsible partner FUNITEC

Description of the

result

Data-driven models to forecast the energy behaviour of a building according to

some specific indicators. Four prediction models have been developed which use

data from renewable energy production, energy consumption, indoor

temperature, and energy prices.

What is the innovation

content of the result?

Prediction models are automatically estimated and customized per pilot building

given the measure to be forecasted and the data available (e.g. external variables

and length of historical data). The estimated model can then be directly used to

predict in a reliable and accurate way the measure across the upcoming week.

Different types of models (times-series, MLR, etc.) are considered and the best-

fitted one is selected and parameterized per case to achieve the best

performance.

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What are the

application fields? Energy prediction

Who are the potential

customers? Building energy managers, energy consultancies and Energy services companies

What are the benefits

for the customers? They can predict the behaviour of a building for the next seven days

Who are the

competitors of this

result?

Existing predicting models for specific indicators.

When is the expected

date of achievement in

the project (Mth/Yr)?

Accomplished in the 3rd year

When is the time to

market (Mth/Yr)? Short, less than 1 year after the end of the project

What are the costs to

be incurred after the

project and before

exploitation?

Limited, a few k€

What is the

approximate price

range of this result /

price of licenses?

Limited, a few € per year of use

Which are the

OPTIMUS partners

involved in the

development?

NTUA, POLITO, FUNITEC

Which are the

OPTIMUS partners

interested in the

commercialization?

NTUA, POLITO

Which could be

barriers for

implementation?

Absence of input data

1.2.6 Set of Inference Rules

Result title Set of Inference Rules

Responsible partner POLITO

Description of the

result

The inference rules are expert knowledge-based algorithms aimed at giving

suggestions for the improvement of energy management related to the following

fields of actions:

Management of the occupancy

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Management of the heating and cooling technical systems

Management of the indoor thermal comfort

Management of the air cooling through air-side economizer strategies

Management of the generation and on-site RES production and

exploitation

Each inference rule or a combination of them generates an Action Plan that is the

suggestion for better managing the building with the purpose of decreasing its

energy consumption.

The inference rules have been implemented as a Symfony PHP web application.

What is the innovation

content of the result?

The inference rules consists of simple logic-based rules (most of them based on

logical sentences) that can be implemented and used for better managing a

building that is already equipped with a network of sensors. The innovative aspect

is the proven possibility to set energy management strategies for the week ahead

on the basis of estimation models. This opportunity allows to energy manager to

schedule activities and settings to optimize the building energy request according

to DSS suggestions. Moreover this approach allows the building users to be

involved also in the building energy management and in a conscious manner.

What are the

application fields? Energy management field

Who are the potential

customers? Energy service company, building managers, outsourced maintenance managers

What are the benefits

for the customers?

Possibility of being supported in the building energy management

Possibility to improve the users engagement

Who are the

competitors of this

result?

The algorithms implemented into the existing BACS (Building Automation and Control Systems)

When is the expected

date of achievement in

the project (Mth/Yr)?

Accomplished in the 2nd year

When is the time to

market (Mth/Yr)? Short, less than 1 year after the end of the project

What are the costs to

be incurred after the

project and before

exploitation?

Limited, a few k€

What is the

approximate price

range of this result /

price of licenses?

Limited, few k€ for a package of inference rules

Which are the

OPTIMUS partners

involved in the

development?

POLITO, NTUA (development of the models), FUNITEC, NTUA (implementation

of the models)

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Which are the

OPTIMUS partners

interested in the

commercialization?

POLITO, FUNITEC, NTUA

Which could be

barriers for

implementation?

Absence of monitored input data needed for the inference rules to be developed

and implemented

1.2.7 TCV Web App

Result title TCV Web App

Responsible partner NTUA

Description of the result

A web service transforming building users’ feedback into numerical,

assessable information on their perception of thermal comfort, therefore

facilitating the temperature set-point management towards energy

optimization. The “Thermal Comfort Validator” (TCV), is a web-based

application accessible by PCs, tablets or mobile phones, especially

developed within the framework of the OPTIMUS project, that building users

are encouraged to frequently use in order to provide input regarding their

thermal sensation. The TCV web application offers an online questionnaire,

asking users, among others, to rate their thermal sensation by selecting one

of 7 options available (cold, cool, slightly cool, neutral, slightly warm, warm,

and hot). Submissions are then translated to numerical values at a 7- point

scale, corresponding to the Predicted Mean Vote (PMV) indicator, as defined

in ISO 7730:2006.

What is the innovation

content of the result?

The Thermal Comfort Validator web application is a cross- platform tool that

can be used from multiple devices like PCs, tablets and mobile phones. It is

not dependent on systems and equipment installed in the buildings and, as

a result, it does not need any modifications or further customization in order

to be used for each one of them.

What are the application

fields?

Energy management and energy use optimization in municipal buildings,

corporate buildings or other type of highly populated buildings under a central

management.

Who are the potential

customers?

Building energy managers, energy consultancies and Energy Service

Companies

What are the benefits for

the customers?

Facilitation of energy use optimization, energy consumption reduction, CO2

emissions reduction, energy cost reduction, occupants’/employees’ active

participation and inclusion in energy decision making.

Who are the competitors of

this result?

Technical solutions such as ComfortSense, by Dantec Dynamics

http://www.lennox.com/products/comfort-

controls/ComfortSense7500/

http://www.dantecdynamics.com/comfortsense

http://www.dantecdynamics.com/docs/products-and-

services/thermal-comfort/take_a_snap_shot_303_v3.pdf

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When is the expected date

of achievement in the

project (Mth/Yr)?

1st version: August 2015

Final version: November 2015

When is the time to market

(Mth/Yr)? April 2016

What are the costs to be

incurred after the project

and before exploitation?

Limited, a few k€

What is the approximate

price range of this result /

price of licenses?

Limited, a few k€

Which are the OPTIMUS

partners involved in the

development?

NTUA

Which are the OPTIMUS

partners interested in the

commercialization?

NTUA, POLITO

Which could be barriers for

implementation?

Limited participation by occupants, leading to inadequate feedback, lack of

clarity in building partitioning creating difficulties for users to declare their

exact position, malicious users providing false feedback

1.2.8 DSS Engine

Result title DSS Engine

Responsible partner FUNITEC

Description of the result

The goal of the DSS engine is to propose Action Plans for the end user to

apply. It is composed of prediction models (implemented as RapidAnalytics

processes and R scripts), inference rules, and a MariaDB database to store

the results. Inference rules need to be fed with predicted, real-time and

static data.

What is the innovation

content of the result?

It integrates prediction models and inference rules to suggest specific

Action Plans. It can be enhanced with new prediction models and inference

rules.

What are the application

fields? Energy management of buildings

Who are the potential

customers? Energy services companies, building owners including local authorities

What are the benefits for

the customers?

It is an integrated solution for predicting the energy behaviour of buildings

and to suggest actions to improve their energy efficiency. The DSS engine

can be integrated with existing middleware solutions to enhance them.

Who are the competitors of

this result? -

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When is the expected date

of achievement in the

project (Mth/Yr)?

Accomplished in the 3rd year

When is the time to market

(Mth/Yr)? Short, less than 1 year after the end of the project

What are the costs to be

incurred after the project

and before exploitation?

Limited, a few k€

What is the approximate

price range of this result /

price of licenses?

Limited, a few € per year of use

Which are the OPTIMUS

partners involved in the

development?

NTUA, POLITO, FUNITEC

Which are the OPTIMUS

partners interested in the

commercialization?

NTUA, POLITO

Which could be barriers for

implementation? Absence of input data

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2 Report on Societal Implications

A General Information

Grant Agreement Number: 608703

Title of Project: OPTIMUS

Name and Title of Coordinator: Prof. John Psarras

B Ethics

1. Did your project undergo an Ethics Review (and/or Screening)?

If Yes: have you described the progress of compliance with the relevant Ethics Review/Screening Requirements in the frame of the periodic/final project reports?

Special Reminder: the progress of compliance with the Ethics Review/Screening Requirements should be described in the Period/Final Project Reports under the Section 3.2.2 'Work Progress and Achievements'

NO

2. Please indicate whether your project involved any of the following issues: NO

RESEARCH ON HUMANS

Did the project involve children? NO

Did the project involve patients? NO

Did the project involve persons not able to give consent? NO

Did the project involve adult healthy volunteers? NO

Did the project involve Human genetic material? NO

Did the project involve Human biological samples? NO

Did the project involve Human data collection? NO

RESEARCH ON HUMAN EMBRYO/FOETUS

Did the project involve Human Embryos? NO

Did the project involve Human Foetal Tissue / Cells? NO

Did the project involve Human Embryonic Stem Cells (hESCs)? NO

Did the project on human Embryonic Stem Cells involve cells in culture? NO

Did the project on human Embryonic Stem Cells involve the derivation of cells from Embryos? NO

PRIVACY

Did the project involve processing of genetic information or personal data (eg. health, sexual lifestyle, ethnicity, political opinion, religious or philosophical conviction)?

NO

Did the project involve tracking the location or observation of people? NO

RESEARCH ON ANIMALS

Did the project involve research on animals? NO

Were those animals transgenic small laboratory animals? NO

Were those animals transgenic farm animals? NO

Were those animals cloned farm animals? NO

Were those animals non-human primates? NO

RESEARCH INVOLVING DEVELOPING COUNTRIES

Did the project involve the use of local resources (genetic, animal, plant etc)? NO

Was the project of benefit to local community (capacity building, access to healthcare, education etc)?

NO

DUAL USE

Research having direct military use NO

Research having the potential for terrorist abuse NO

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C Workforce Statistics

3. Workforce statistics for the project: Please indicate in the table below the number of people who worked on the project (on a headcount basis).

Type of Position Number of Women Number of Men

Scientific Coordinator 3

Work package leaders 2 7

Experienced researchers (i.e. PhD holders) 5 26

PhD Students 5

Other 15 16

4. How many additional researchers (in companies and universities) were recruited specifically for this project?

4

Of which, indicate the number of men:

3

D Gender Aspects 5. Did you carry out specific Gender Equality Actions under the project?

x

Yes No

6. Which of the following actions did you carry out and how effective were they? Not at all

effective Very

effective

Design and implement an equal opportunity policy Set targets to achieve a gender balance in the workforce Organise conferences and workshops on gender Actions to improve work-life balance Other:

7. Was there a gender dimension associated with the research content – i.e. wherever people were the focus of the research as, for example, consumers, users, patients or in trials, was the issue of gender considered and addressed?

Yes- please specify

No

E Synergies with Science Education

8. Did your project involve working with students and/or school pupils (e.g. open days, participation in science festivals and events, prizes/competitions or joint projects)?

x Yes- please specify

No

9. Did the project generate any science education material (e.g. kits, websites, explanatory booklets, DVDs)?

x Yes- please specify

No

F Interdisciplinarity

10. Which disciplines (see list below) are involved in your project? Main discipline7:

Associated discipline7: Associated discipline7:

7 Insert number from list below (Frascati Manual).

The Savona School organised some “dissemination days” in order to

support the students in the on-line completion of the TCV web tool

Training Material (DSS tutorial, PPTs, videos, factsheets, etc.)

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G Engaging with Civil society and policy makers

11a Did your project engage with societal actors beyond the research community? (if 'No', go to Question 14)

x

Yes No

11b If yes, did you engage with citizens (citizens' panels / juries) or organised civil society (NGOs, patients' groups etc.)?

x No

Yes- in determining what research should be performed

Yes - in implementing the research

Yes, in communicating /disseminating / using the results of the project

11c In doing so, did your project involve actors whose role is mainly to organise the dialogue with citizens and organised civil society (e.g. professional mediator; communication company, science museums)?

x

Yes No

12. Did you engage with government / public bodies or policy makers (including international organisations)

No

Yes- in framing the research agenda

Yes - in implementing the research agenda

x Yes, in communicating /disseminating / using the results of the project

13a Will the project generate outputs (expertise or scientific advice) which could be used by policy makers?

Yes – as a primary objective (please indicate areas below- multiple answers possible)

x Yes – as a secondary objective (please indicate areas below - multiple answer possible)

No

13b If Yes, in which fields? Agriculture Audiovisual and Media Budget Competition Consumers Culture Customs Development Economic and Monetary Affairs Education, Training, Youth Employment and Social Affairs

Energy Enlargement Environment External Relations External Trade Fisheries and Maritime Affairs Food Safety Foreign and Security Policy Fraud Humanitarian aid

Human rights Information Society Institutional affairs Internal Market Justice, freedom and security Public Health Regional Policy Research and Innovation Space Taxation Transport

13c If Yes, at which level? x Local / regional levels

x National level

x European level

x International level

H Use and dissemination

14. How many Articles were published/accepted for publication in peer-reviewed journals?

5

To how many of these is open access8 provided? -

How many of these are published in open access journals? -

How many of these are published in open repositories? -

8 Open Access is defined as free of charge access for anyone via Internet.

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To how many of these is open access not provided? 5

Please check all applicable reasons for not providing open access: -

x publisher's licensing agreement would not permit publishing in a repository no suitable repository available no suitable open access journal available no funds available to publish in an open access journal lack of time and resources lack of information on open access other9: ……………

15. How many new patent applications (‘priority filings’) have been made? ("Technologically unique": multiple applications for the same invention in different jurisdictions should be counted as just one application of grant).

-

16. Indicate how many of the following Intellectual Property Rights were applied for (give number in each box). Trademark -

Registered design

-

Other -

17. How many spin-off companies were created / are planned as a direct result of the project? -

Indicate the approximate number of additional jobs in these companies: -

18. Please indicate whether your project has a potential impact on employment, in comparison with the situation before your project:

Increase in employment, or x In small & medium-sized enterprises

Safeguard employment, or x In large companies

Decrease in employment, None of the above / not relevant to the project

Difficult to estimate / not possible to quantify

19. For your project partnership please estimate the employment effect resulting directly from your participation in Full Time Equivalent (FTE = one person working fulltime for a year) jobs:

Difficult to estimate / not possible to quantify

Indicate figure: x

I Media and Communication to the general public 20. As part of the project, were any of the beneficiaries professionals in communication or media

relations? x Yes No

21. As part of the project, have any beneficiaries received professional media / communication training / advice to improve communication with the general public?

Yes x No

22 Which of the following have been used to communicate information about your project to the general public, or have resulted from your project?

x Press Release Coverage in specialist press x Media briefing Coverage in general (non-specialist) press TV coverage / report x Coverage in national press

Radio coverage / report x Coverage in international press

x Brochures /posters / flyers x Website for the general public / internet DVD /Film /Multimedia x Event targeting general public (festival,

conference, exhibition, science café)

9 For instance: classification for security project.

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23 In which languages are the information products for the general public produced?

Language of the coordinator x English

Other language(s)

Question F-10: Classification of Scientific Disciplines according to the Frascati Manual 2002

(Proposed Standard Practice for Surveys on Research and Experimental Development, OECD 2002):

FIELDS OF SCIENCE AND TECHNOLOGY 1. NATURAL SCIENCES 1.1 Mathematics and computer sciences [mathematics and other allied fields: computer sciences

and other allied subjects (software development only; hardware development should be classified in the engineering fields)]

1.2 Physical sciences (astronomy and space sciences, physics and other allied subjects) 1.3 Chemical sciences (chemistry, other allied subjects) 1.4 Earth and related environmental sciences (geology, geophysics, mineralogy, physical

geography and other geosciences, meteorology and other atmospheric sciences including climatic research, oceanography, vulcanology, palaeoecology, other allied sciences)

1.5 Biological sciences (biology, botany, bacteriology, microbiology, zoology, entomology, genetics, biochemistry, biophysics, other allied sciences, excluding clinical and veterinary sciences)

2 ENGINEERING AND TECHNOLOGY 2.1 Civil engineering (architecture engineering, building science and engineering, construction

engineering, municipal and structural engineering and other allied subjects) 2.2 Electrical engineering, electronics [electrical engineering, electronics, communication

engineering and systems, computer engineering (hardware only) and other allied subjects] 2.3. Other engineering sciences (such as chemical, aeronautical and space, mechanical,

metallurgical and materials engineering, and their specialised subdivisions; forest products; applied sciences such as geodesy, industrial chemistry, etc.; the science and technology of food production; specialised technologies of interdisciplinary fields, e.g. systems analysis, metallurgy, mining, textile technology and other applied subjects)

3. MEDICAL SCIENCES 3.1 Basic medicine (anatomy, cytology, physiology, genetics, pharmacy, pharmacology,

toxicology, immunology and immunohaematology, clinical chemistry, clinical microbiology, pathology)

3.2 Clinical medicine (anaesthesiology, paediatrics, obstetrics and gynaecology, internal medicine, surgery, dentistry, neurology, psychiatry, radiology, therapeutics, otorhinolaryngology, ophthalmology)

3.3 Health sciences (public health services, social medicine, hygiene, nursing, epidemiology) 4. AGRICULTURAL SCIENCES 4.1 Agriculture, forestry, fisheries and allied sciences (agronomy, animal husbandry, fisheries,

forestry, horticulture, other allied subjects) 4.2 Veterinary medicine 5. SOCIAL SCIENCES 5.1 Psychology 5.2 Economics 5.3 Educational sciences (education and training and other allied subjects) 5.4 Other social sciences [anthropology (social and cultural) and ethnology, demography,

geography (human, economic and social), town and country planning, management, law, linguistics, political sciences, sociology, organisation and methods, miscellaneous social

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sciences and interdisciplinary , methodological and historical S1T activities relating to subjects in this group. Physical anthropology, physical geography and psychophysiology should normally be classified with the natural sciences].

6. HUMANITIES 6.1 History (history, prehistory and history, together with auxiliary historical disciplines such as

archaeology, numismatics, palaeography, genealogy, etc.) 6.2 Languages and literature (ancient and modern) 6.3 Other humanities [philosophy (including the history of science and technology) arts, history of

art, art criticism, painting, sculpture, musicology, dramatic art excluding artistic "research" of any kind, religion, theology, other fields and subjects pertaining to the humanities, methodological, historical and other S1T activities relating to the subjects in this group]