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Will Eco-aware Objects Help to Save the World?

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Book cover Ubiquitous Computing and Ambient Intelligence (UCAmI 2012)

Abstract

Our society waste more energy than they should. This is mostly due to the inadequate use that human beings perform on electrical devices. The presented paper aims to justify that embedding intelligence within everyday objects is valuable to reduce the portion of unnecessary consumed energy which is due to human misusing. To such extend, we have augmented a capsule-based coffee machine which is placed in a work office to back our assumptions. Using this device we have devised an energy saving model that takes into consideration features like how and when workers use the appliance along the day.

Additionally, we have simulated the model to demonstrate, through error metric comparison (measured in KWh), that a big amount of energy would be reduced if such intelligent systems were applied when compared with a baseline approach. Therefore, this paper contributes with a set of early, but promising, findings regarding how smart eco-aware objects can help to save energy in areas where people inhabit (cities, buildings or homes).

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References

  1. Energy appliance visualization, http://visualization.geblogs.com/visualization/appliances/

  2. Towards a smarter future: Government response to the consultation on electricity and gas smart metering. Tech. rep., Dept. of Energy and Climate Change (2009)

    Google Scholar 

  3. Fitzpatrick, G., Smith, G.: Technology-enabled feedback on domestic energy consumption: Articulating a set of design concerns. IEEE Pervasive Computing 8(1), 37–44 (Jan 2009)

    Article  Google Scholar 

  4. Froehlich, J., Findlater, L., Landay, J.: The design of eco-feedback technology. In: Proceedings of the 28th International Conference on Human Factors in Computing Systems, pp. 1999–2008 (2010)

    Google Scholar 

  5. López-De-Armentia, J., Casado-Mansilla, D., López-De-Ipiña, D.: Fighting against vampire appliances through eco-aware things. In: Proc. of the 1st Workshop on Extending Seamlessly the Internet of Things. IEEE, Palermo (2012)

    Google Scholar 

  6. Mankoff, J., Fussell, S.R., et al.: StepGreen.org: Increasing energy saving behaviors via social networks. In: Proceedings of the 4th International AAAI Conference on Weblogs and Social Media (May 2010)

    Google Scholar 

  7. Qiu, Z., Deconinck, G.: Smart meter’s feedback and the potential for energy savings in household sector: A survey. In: ICNSC, pp. 281–286. IEEE (2011)

    Google Scholar 

  8. Studley, M., Chambers, S., Rettie, R., Burchell, K.: Gathering and presenting social feedback to change domestic electricity consumption. In: Interface, pp. 1–4 (2011)

    Google Scholar 

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© 2012 Springer-Verlag Berlin Heidelberg

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Casado-Mansilla, D., López-de-Armentia, J., López-de-Ipiña, D. (2012). Will Eco-aware Objects Help to Save the World?. In: Bravo, J., López-de-Ipiña, D., Moya, F. (eds) Ubiquitous Computing and Ambient Intelligence. UCAmI 2012. Lecture Notes in Computer Science, vol 7656. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35377-2_3

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  • DOI: https://doi.org/10.1007/978-3-642-35377-2_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35376-5

  • Online ISBN: 978-3-642-35377-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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