SMART APPLIANCESSMART APPLIANCESEnergy EfficiencyEnergy Efficiency

I biliI biliInteroperabilityInteroperabilityDG CONNECT & ETSI Workshop on Smart M2M AppliancesDG CONNECT & ETSI Workshop on Smart M2M Appliances

Rogelio SEGOVIArogelio.segovia@ec.europa.eu

DGCNECT Sustainable and Secure SocietySmart Cities and Sustainability

Interoperability of Energy Interoperability of Energy Efficiency Data in BuildingsEfficiency Data in Buildings

Buildings lifecycle

Facility management

g y

Architectural design Construction

SMARTAPPLIANCESSensors

HVAC and White Goods

SMARTAPPLIANCES

CAD systemEE add-ons

BIM

ProjectManagementEnergy performancetests

HVAC and White Goods

Micro – renewables

Lighting system

BEMSEnergy Box

BEMSCAD Automation systems

Lighting system

SMARTHOME

Construction materialsand elements

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Trade energy / Smart Grid

Upfront: Internet of Things approach

Costs of the connectivityCosts of the connectivity

• Add hoc circuits connecting to existing Network solutions; 100.000's; > 50 EUR

liper appliance• Simple consumer devices; energy

plugs; > 10 EUR per applianceplugs; > 10 EUR per appliance• A universal appliances chip; billions;

< 1 EUR per chipp p

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The marketThe market

• "Any appliance to any service" embedded system• Affordable cost increase per appliancep pp• Market would be billions (250 million dwellings in Europe,

many appliances each)

ANY APPLIANCE• Internal language up to

the manufacturer• Software loaded at

ANY EE SERVICE

Software loaded at factory or at connecting

• Same concept as "plug and play" driver

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One "language" to the external world, one ONTOLOGY

The visionThe vision

Energy using and producing Products

options

PLC

Plug and Play

label

Th h thiCTI, M2MCTI, M2M

Coordination, Towards standards

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The home thingsPart of the Internet of Things

Workshops with the scientific community

• Workshops on EEBuilding Data Models Energy Efficiency Vocabularies and Ontologies

• 1st Workshop on EEBuilding Data Models 24th January 2011 The Renewable Energy 1st Workshop on EEBuilding Data Models, 24th January 2011, The Renewable Energy House, Brussels

• 2nd Workshop on EEBuilding Data Models, CIB Conference W078-W012, 26-28 October 2011, Sophia Antipolis – France

• 3rd Workshop on EEBuilding Data Models, European Conference of Product and Process Modelling (ECPPM) 2012 Reykjavik Iceland 25th - 27th July 2012Modelling (ECPPM) 2012, Reykjavik, Iceland, 25th 27th July, 2012

• 4th Workshop on EEBuilding Data Models, ICT for Sustainable Places, Nice, France, 9th-11th September, 2013

With sessions devoted Smart Appliances connectivity. • Vocabulary Camps• Vocabulary Camps

• 3rd VoCamp - Energy using and producing Products Management (EupP), 13 and 14 June 2013, German Research Centre on Artificial Intelligence in Kaiserslautern, Germany.

• 5th VoCamp, Devices & Sensors, Vocabularies/Ontologies used in Middleware to foster interoperability and share of knowledge in the AEC domain, 15-16 April 2014, FhG/FIT, Bonn GermanyBonn, Germany

• eeSemantic wiki• Some 50 scientific contributions, in form of wiki pages, around Smart Appliances and

Sensor networks.

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Workshops with the Smart Workshops with the Smart Appliances Manufacturing Appliances Manufacturing

Industry and other Industry and other Industry and other Industry and other stakeholdersstakeholders

• 1st Workshop on a Roadmap for the Standardisation of Smart Appliances (Energy Consuming and Producing Products), 24 S t 2012 DGCNECT B l24 Sept. 2012, DGCNECT, Brussels

• 2nd Workshop of M2M Semantics for Smart eeAppliances, 5th March 2013, DGCNECT, Brussels

• Most mentioned recommendations1. HIGH-LEVEL (SEMANTIC) MODELLING of information to be

exchanged (API-like) – 1st step: common vocabulary for appliances product information, commands, signals (like price or sensor information) and feedback.

1 T k t k f th i ti ti t diff t t k h ld d 1. Take stock of the existing semantic assets, across different stakeholders and standardisation efforts, and perform a translation exercise. Agree on a nuclear vocabulary.

2. Discuss a complete range of use cases, covering all devices (white goods, HVAC, plumbing, security and electrical systems, lightings, sensors and actuators (windows, doors, stores), micro renewable home solutions (solar panels, solar heaters, wind, etc.), multimedia and home computer equipment and all BEMS, BACS, CEM, Energy Boxes finding the messages and signals they may need to share. Extend the nuclear vocabulary.

2. With regards connectivity, agree on an ABSTRACT ARCHITECTURE with a clear horizon at mainstreaming with world’s M2M standards, approaches and architectures to create a bridge over the communications layer chaos.

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chaos.1. Propose available architectures that go in that direction2. Create open repositories of reusable pieces

industrial stakeholdersindustrial stakeholders

• AMA - Association for Sensor Technology • buildingSmart Alliance (IFC)• CABA - Continental Automated Buildings Association• CECED - European Committee for Domestic Equipment Manufacturers • CENELEC TC59x WG7• EHI AISBL - Association of the European Heating Industry • Energy Efficient Buildings Association (E2BA)• EPoSS - The European Technology Platform on Smart Systems Integration• ESMIG - European Smart Metering Industry GroupESMIG European Smart Metering Industry Group• eu.bac - European building automation controls association• European Lamp Companies Federation (ELC)• EVIA – European Ventilation Industry Association• Smart Grid Task Force - SGCG 490 - SMCG 441• SHBA - Smart Homes and Building Association • Representation of FP Research Projects• HGI Home Gateway Initiative• oBIX - OASIS Open Building Information Exchange • OSGi - Open Services Gateway initiative

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• OSGi Open Services Gateway initiative• ETSI M2M, CTI (European Telecommunications Standards Institute)

ActionsActions

• The Commission, DGCNECT, presents to the ETSI Board, 21 March 2013, the recommendations received on M2M SEMANTICS FOR SMART EE-APPLIANCES recommendations received on M2M SEMANTICS FOR SMART EE APPLIANCES

• The Commission, DGCNECT, presents to the Multi Stakeholder Platform for ICT standardisation, 13 June 2013, the issue on M2M SEMANTICS FOR SMART EE-APPLIANCES

• The Commission , DGCNECT, launches the Study on the available semantics , , yassets for the interoperability of Smart Appliances, Mapping into a common ontology as a M2M application layer semantics (SMART 2013/0077). The Public Tender contract is awarded to TNO. Works start January 2014.

• ETSI [ETSI/BOARD(13)92_019] launches Action Item A-B92/6 M2M Semantics F S t EE A li D fi ti iti i S tM2M th t ill t th For Smart EE-Appliances. Define activities in SmartM2M that will support the creation of a standard for smart appliance communication including a common data model and the identification of communication architecture and the related protocols. The work will include a description of the potential related deliverable content and a time plan. Output of the work will result in a detailed powerpointco te t a d a t e p a Output o t e o esu t a deta ed po e po taction-plan and activity proposal which could be used as the basis of a presentation for the Smart Appliance community. Another part of the output will consist in the initial description of a set of ETSI deliverables with related WIs and timeline. Works start January 2014.

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The unified ontologyThe unified ontology

EupP

plug Sub-productsp g

play

• XML data models• Web services• Etc.

fixed

openwwwlow power

product

openEe KPI

real time

S t A li

Ee KPIplanned

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Smart Appliancesontology other

Two related loopsTwo related loops

What do you want to say?What do you want to say? Say it properlySay it properly

Hello, can you hear me? Do you

Loud and clear!

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hear me? Do you speak Smart Appliances M2M?

clear!

RecommendationsRecommendations

1. Backwards interoperability: The ontology has to aim, whenever possible, at providing "backwards" compatibility to the semantic layers of the most popular connectivity solutions (KNX, BAC.net, ZigBee, SensorXML), ensuring the highest degree of matching. However, this is not an absolute condition.

2. Expanded ontology: The ontology should not be restricted to the existing vocabularies in these 2. Expanded ontology: The ontology should not be restricted to the existing vocabularies in these solutions. It has to be expanded to cover all semantic requirements as discovered in the study.

3. New structure: In particular with respect the basic structure, not to be constrained by any heritage from the past.

4. Balanced solution: Too strict backwards compatibility may eventually turn into low efficiency solutions or bring down the new thinking that we need for defining the correct semantics Propose a solutions or bring down the new thinking that we need for defining the correct semantics. Propose a balanced solution and document the options taken.

5. Energy efficient solution: The home environment may require not wired low power sensors based on batteries or ambient energy harvesting sensors. The ontology has to be optimised to be synthetic, compact and with the minimum redundancy.

6 Smart messaging: The ontology has to propose classes to cover a broader scope of information 6. Smart messaging: The ontology has to propose classes to cover a broader scope of information exchange, messages with information relevant for the intelligent behaviour in relation to energy and beyond. As said above, the vision is autonomous smart appliances that mainly negotiate their flexibility at consuming energy, but will expand in the future to broader application areas (eHealth, Ambient Assisted Living, surveillance, etc).

7. Optimal balance open/prescriptive: propose an optimal balance between fixed and full definitions 7. Optimal balance open/prescriptive: propose an optimal balance between fixed and full definitions for some classes (i.e. including enumerations), those with chances to be relevant to most use cases (i.e. energy consumption, limits, goals), and classes that should remain open for a definition of the meaning by the context (i.e. appliance specific, or system specific) or case by case (<otherClass>) or live at connecting. Fully defined classes offer the highest chances for compact coding at transmission, and are therefore more important at not cabled devices, like battery powered sensors.

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At appliances connected to the electricity network this factor is less critical. 8. Growth of the ontology: logic for the growth of the ontology to cover future, more intelligent

behaviour and message exchange.

Thank you for your attentionThank you for your attention

Rogelio SEGOVIARogelio SEGOVIArogelio.segovia@ec.europa.eu

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