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RESIDE: Renewable Energy Services on an Infrastructure for Data Exchange


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RESIDE project presentation

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RESIDE: Renewable Energy Services on an Infrastructure for Data Exchange

  1. 1. RESIDE project Anna Fensel April 19 2013© INNSBRUCK Copyright 2013 STI
  2. 2. Outine • About • Consortium • Background • Motivation • Project Goals • Architecture • Use Cases • Project
  3. 3. About • RESIDE stands for Renewable Energy Services on an Infrastructure for Data Exchange • RESIDE focuses on identification of interest and joint design of renewable energy services that are grounded on and perform fine- granular processing of semantic linked data, unleashing the current large commercialization potential of semantic data. • The RESIDE project will enable development and deployment of highly personalized services based on sensor, smart meter and user input data, applicable to the new scenarios emerging from the renewable energy introduction and the settings of both Austria and China. • ÖAD co-funded • Duration: 1 February 2013 – 31 January
  4. 4. Consortium Expertise: Semantic Services Expertise: Mobile Services Expertise: Applied research in Expertise: Smart Grid Telco and
  5. 5. Background • Joint (pioneering) work with Beijing University of Posts and Telecommunications on applying ontologies to mobile communication services – Publication: Qiao, X., Li, X., Fensel, A., Su, F. "Applying Semantics to Parlay-based Services for Telecommunication and Internet Networks", Central European Journal of Computer Science, Springer, Volume 1, Number 4, pp. 406-429 (2011)
  6. 6. Motivation (common sense)
  7. 7. Motivation (political-economic, EU) • Achieving 20% savings of energy consumption by 2020 through energy efficiency is one of the key measures to keep CO2 emissions under control • EU’s goal to cut greenhouse gas emissions by 80–95 % by 2050 and two thirds of the energy in the EU should come from renewable sources • EU-wide introduction of smart meters - to be implemented within the next few years - it is estimated that the “world will have 250 million smart meters by 2015, representing a $3.9 billion market”
  8. 8. Motivation (scientific) • Applied service science becomes of growing importance as we move to a service economy • Maturing of semantic technologies & their application in Internet of Things scenarios • Smart Grids bring a lot of data as well as new scenarios to work with
  9. 9. Project Goals RESIDE objectives are: • To build an energy efficiency, particularly, passive house data infrastructure, identifying common points of interest in relevant data usage, based on the renewable service specification, smart home sensor and metering data repositories that are available to the consortium, with a semantic access and business models ensuring the sustainability of the infrastructure maintenance and use. • Build renewable energy related pilot services on this infrastructure that can be eventually durably exploited with the use for both countries, as well as enable and motivate third-party developers to build added value services on this repository and benefit from
  10. 10.
  11. 11. Use Cases 1. oriented at end users and their environmentally friendly behavior; 2. oriented at utilities and their needs such as tariff management and energy market price prediction; and 3. oriented towards smart grid as infrastructure, e.g. adjustment of local power
  12. 12. Project Tasks • Organization of an initial consolidation workshop & subsequent working meetings. • Construction of an initial RESIDE data repository for large scale renewable energy efficiency data. • Extension of the RESIDE data repository. • Development of business models to attract stakeholders and to generate an ecosystem of service providers addressing end energy consumers based on data for energy efficiency. • Fostering enablement and openness for third-party service developers incentivizing and assisting them to generate, deploy on the marketplace and benefit from that. • Development of RESIDE renewable energy services for identified use case scenarios and their evaluation in an environment consuming real-world