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Anna Fensel
fensel@ftw.at

BEYOND ENERGY EFFICIENT SMART
BUILDINGS
How does the next
    generation of energy
efficient buildings look like?
SESAME and SESAME-S Projects

2 FFG COIN Projects (sesame-
  s.ftw.at)
  SESAME – Semantic Smart Metering,
  Enablers for Energy Efficiency (9’09-11’10)
   - Prototype, proof of concepts, feasibility study
  SESAME-S – Services for Energy
  Efficiency (4’11-9’12)
   - setting up usable smart home hardware, a
     portal and repository
   - organizing a test installation in real buildings:
     in a school (Kirchdorf, Austria) and a factory
     (Chernogolovka, Russia)
   - developing specialized UIs and designing
     mobile apps for the school use case
  Consortium partner network of 6
  organizations
Installations in Real Life Smart
    Buildings
  Motivation: work with real buildings, real data
  and real users

Technology:
  Several Smart Meters
  Sensors (e.g. light, temperature, humidity)
  Smart plugs, for individual sockets
  Multi-utility management
  (i.e. electricity, heating)
  Shutdown services for PCs
  User interfaces and apps: Web, tablet,
  smartphone (Android)
Data-Driven Management in the
Intelligent Building




         Millions of real life data triples collected
         in the semantic repository
Energy Market Data
                                Grid Service
                                Information


  Weather
                                Appliances Info
  Forecast
                                                                Open Linked Data


  Renewables Info                Statistical
                                 Weather Data




                       Public Data Cloud
Data Acquisition                                  Energy Efficiency Services         Private User Storage




Energy
Companies                       Portal




                                 Consumer                                  Energy Monitoring and
      Agencies                                              MApp           Control System
Services Addressing Users @ School
  Energy awareness,
  monitoring




  Remote control - manual and
  programmed - e.g. scheduled activities
  and triggering rules



  How do we get the users?
    By having workshops with pupils:
    introduction to energy efficiency,
    building analysis, explaining the
    system and services
Empowering pupils to save energy
User Requirements
  What are the stakeholders‘ needs?                    Personas
   - Workshops at school with teachers, pupils,
     janitors, management
  How about energy awareness?
   - 47% of the pupils did not know who is
     responsible for the energy management in
     their school.
   - 69% would use an app to save energy on a
     regular basis                                Questionnaire

  How to design energy awareness
  systems?
   - Energy feedback and active shutdown of
     computers (power management)

                                                  Participatory Design
                                                              -1-
Empowering Pupils to Save Energy
Design and Prototyping

     Design sketches                               Design comparisons




                 Final mobile and tablet designs
Empowering Pupils to Save Energy
Acceptance and Effects
                                                         Using the power
                                                          management app
                                                          helped to save
                                                          energy

                                                         No strong effect of
                                                          devices used (tablet
                                                          vs. smartphone)

                                                       Novel ways of
                                                      energy saving are
                                                      possible, but significant
                                                      testing and
                                                      development is
                                                      necessary


NB: Rule based automation solution at the factory reported
a similar level of energy savings
Communicating energy efficiency –
application example (see www.alphaverda.com)
 Users subscribe for the MobileApp with some of their information
        Address of their house / GEO position
        Type of the household
        Energy provider
        Energy tariff
        Energy consumption
        Devices they have

 Benefits
   Hall of fame – a green point in the Green City Map
   Energy data in a GIS map in the Portal
      Environmental data (CO2, weather )
      Consumption and energy profiles
          Residential data
          Public buildings (schools, hospitals, government… )
   Getting insights based on aggregated data
      Which percentage of users from my geographic area use more energy than I use?
      Also a good service for city municipalities, governments
   Receiving recommendations about tariffs / appliances
   Sharing energy efficiency practices (e.g. as policies)
Vision: Homes2District – Talking Buildings
Knowledge-based, distributed, service-oriented system solution
to intelligently manage electric and thermal energy consumption and increase
the usage and demand-oriented production of green energy on district level.




                                                     Image credit: http://dryicons.com
Smart Home Energy Datamarketplaces
 Idea: A platform for publishing and querying energy data and establishing
 energy management services exchange between energy market stakeholders
 active in the smart building segment.
  - Evaluation in terms of benefits for the marketplace ecosystem participants and
    enabling and simplifying creation of (new) data-intensive apps e.g. OpenFridge –
    monitoring app for consumption


 Technology: semantic modeling, data analysis, scalable and
 economically viable datamarketplace infrastructures, new business models


 Benefit: Energy companies, grid operators have means to assess the
 Smart Grid on a more granular level, and provide more M2M data
 services. Hardware manufacturers have the benefit in making their smart
 homes more intelligent. Third party developers benefit from the possibility
 to design Internet of Things apps, based on the open data. End users
 benefit from the new apps.

                                                                                       13
Conclusions

 Real world as a research lab

 Energy efficiency in buildings achieved
   - Via intelligent automation
   - Via effective human involvement


 In the future, buildings, objects, agents will
 be interconnected via data (and will be
 even more intelligent)
                                                  14

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BEYOND ENERGY EFFICIENT SMART BUILDINGS

  • 1. Anna Fensel fensel@ftw.at BEYOND ENERGY EFFICIENT SMART BUILDINGS
  • 2. How does the next generation of energy efficient buildings look like?
  • 3. SESAME and SESAME-S Projects 2 FFG COIN Projects (sesame- s.ftw.at) SESAME – Semantic Smart Metering, Enablers for Energy Efficiency (9’09-11’10) - Prototype, proof of concepts, feasibility study SESAME-S – Services for Energy Efficiency (4’11-9’12) - setting up usable smart home hardware, a portal and repository - organizing a test installation in real buildings: in a school (Kirchdorf, Austria) and a factory (Chernogolovka, Russia) - developing specialized UIs and designing mobile apps for the school use case Consortium partner network of 6 organizations
  • 4. Installations in Real Life Smart Buildings Motivation: work with real buildings, real data and real users Technology: Several Smart Meters Sensors (e.g. light, temperature, humidity) Smart plugs, for individual sockets Multi-utility management (i.e. electricity, heating) Shutdown services for PCs User interfaces and apps: Web, tablet, smartphone (Android)
  • 5. Data-Driven Management in the Intelligent Building Millions of real life data triples collected in the semantic repository
  • 6. Energy Market Data Grid Service Information Weather Appliances Info Forecast Open Linked Data Renewables Info Statistical Weather Data Public Data Cloud Data Acquisition Energy Efficiency Services Private User Storage Energy Companies Portal Consumer Energy Monitoring and Agencies MApp Control System
  • 7. Services Addressing Users @ School Energy awareness, monitoring Remote control - manual and programmed - e.g. scheduled activities and triggering rules How do we get the users? By having workshops with pupils: introduction to energy efficiency, building analysis, explaining the system and services
  • 8. Empowering pupils to save energy User Requirements What are the stakeholders‘ needs? Personas - Workshops at school with teachers, pupils, janitors, management How about energy awareness? - 47% of the pupils did not know who is responsible for the energy management in their school. - 69% would use an app to save energy on a regular basis Questionnaire How to design energy awareness systems? - Energy feedback and active shutdown of computers (power management) Participatory Design -1-
  • 9. Empowering Pupils to Save Energy Design and Prototyping Design sketches Design comparisons Final mobile and tablet designs
  • 10. Empowering Pupils to Save Energy Acceptance and Effects  Using the power management app helped to save energy  No strong effect of devices used (tablet vs. smartphone)  Novel ways of energy saving are possible, but significant testing and development is necessary NB: Rule based automation solution at the factory reported a similar level of energy savings
  • 11. Communicating energy efficiency – application example (see www.alphaverda.com)  Users subscribe for the MobileApp with some of their information  Address of their house / GEO position  Type of the household  Energy provider  Energy tariff  Energy consumption  Devices they have  Benefits  Hall of fame – a green point in the Green City Map  Energy data in a GIS map in the Portal  Environmental data (CO2, weather )  Consumption and energy profiles  Residential data  Public buildings (schools, hospitals, government… )  Getting insights based on aggregated data  Which percentage of users from my geographic area use more energy than I use?  Also a good service for city municipalities, governments  Receiving recommendations about tariffs / appliances  Sharing energy efficiency practices (e.g. as policies)
  • 12. Vision: Homes2District – Talking Buildings Knowledge-based, distributed, service-oriented system solution to intelligently manage electric and thermal energy consumption and increase the usage and demand-oriented production of green energy on district level. Image credit: http://dryicons.com
  • 13. Smart Home Energy Datamarketplaces Idea: A platform for publishing and querying energy data and establishing energy management services exchange between energy market stakeholders active in the smart building segment. - Evaluation in terms of benefits for the marketplace ecosystem participants and enabling and simplifying creation of (new) data-intensive apps e.g. OpenFridge – monitoring app for consumption Technology: semantic modeling, data analysis, scalable and economically viable datamarketplace infrastructures, new business models Benefit: Energy companies, grid operators have means to assess the Smart Grid on a more granular level, and provide more M2M data services. Hardware manufacturers have the benefit in making their smart homes more intelligent. Third party developers benefit from the possibility to design Internet of Things apps, based on the open data. End users benefit from the new apps. 13
  • 14. Conclusions Real world as a research lab Energy efficiency in buildings achieved - Via intelligent automation - Via effective human involvement In the future, buildings, objects, agents will be interconnected via data (and will be even more intelligent) 14