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Demo abstract: saving energy in smart commercial buildings through social gaming

Published: 08 September 2013 Publication History

Abstract

Energy consumption in commercial buildings is tremendous, resulting in significant monetary cost and waste of natural resources. Designing a low-cost system that serves the goal of saving energy while not forcing people to compromise their personal comfort is important for future smart commercial buildings. Proactive energy saving actions from users in the buildings are the key to achieving this goal. In this paper, we present Mahalo, an energy saving system, which leverages users through social gaming. By incentivizing energy saving actions from end users with a sensing-based feedback control system, the system reduces installation needs and improves understanding of the users preferences.

References

[1]
Ariely, D., Bracha, A., and Meier, S. Doing good or doing well? image motivation and monetary incentives in behaving prosocially. Social Science Research (2007).
[2]
Department of Energy. Building energy data book. http://buildingsdatabook.eren.doe.gov/ (May, 2013).
[3]
Froehlich, J. Promoting energy efficient behaviors in the home through feedback : The role of human-computer interaction. Computing Systems (2009).
[4]
Froehlich, J., Findlater, L., and Landay, J. The design of eco-feedback technology. Proceedings of the 28th international conference on Human factors in computing systems CHI 10 3, 7--8 (2010), 1999.
[5]
Garg, V., and Bansal, N. K. Smart occupancy sensors to reduce energy consumption. Energy and Buildings 32, 1 (2000), 81--87.
[6]
Guillemin, A., and Morel, N. Experimental results of a self-adaptive integrated control system in buildings: a pilot study. Solar Energy 72, 5 (2002), 397--403.
[7]
Mangharam, R., Rowe, A., and Rajkumar, R. Firefly: a cross-layer platform for real-time embedded wireless networks. RealTime Systems 37, 3 (2007), 183--231.
[8]
Volpp, K. G., John, L. K., Troxel, A. B., and Norton, L. Financial incentive -- based approaches for weight loss. JAMA 300 (2008).

Cited By

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  • (2023)Adapt Load Behavior as Technology Agnostic SolutionData Science and Applications for Modern Power Systems10.1007/978-3-031-29100-5_4(45-125)Online publication date: 28-Feb-2023
  • (2020)Prediction and assessment of demand response potential with coupon incentives in highly renewable power systemsProtection and Control of Modern Power Systems10.1186/s41601-020-00155-x5:1Online publication date: 6-Apr-2020
  • (2017)EnergyCouponProceedings of the Eighth International Conference on Future Energy Systems10.1145/3077839.3077862(80-90)Online publication date: 16-May-2017

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    Published In

    cover image ACM Conferences
    UbiComp '13 Adjunct: Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
    September 2013
    1608 pages
    ISBN:9781450322157
    DOI:10.1145/2494091
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    New York, NY, United States

    Publication History

    Published: 08 September 2013

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    Author Tags

    1. energy saving
    2. smart commercial building
    3. social game

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    UbiComp '13 Adjunct Paper Acceptance Rate 254 of 399 submissions, 64%;
    Overall Acceptance Rate 764 of 2,912 submissions, 26%

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    Cited By

    View all
    • (2023)Adapt Load Behavior as Technology Agnostic SolutionData Science and Applications for Modern Power Systems10.1007/978-3-031-29100-5_4(45-125)Online publication date: 28-Feb-2023
    • (2020)Prediction and assessment of demand response potential with coupon incentives in highly renewable power systemsProtection and Control of Modern Power Systems10.1186/s41601-020-00155-x5:1Online publication date: 6-Apr-2020
    • (2017)EnergyCouponProceedings of the Eighth International Conference on Future Energy Systems10.1145/3077839.3077862(80-90)Online publication date: 16-May-2017

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