[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ skip to main content
10.1007/978-3-642-01516-8_8guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
Article

Adding GPS-Control to Traditional Thermostats: An Exploration of Potential Energy Savings and Design Challenges

Published: 11 May 2009 Publication History

Abstract

Although manual and programmable home thermostats can save energy when used properly, studies have shown that over 40% of U.S. homes may not use energy-saving temperature setbacks when homes are unoccupied. We propose a system for augmenting these thermostats using just-in-time heating and cooling based on travel-to-home distance obtained from location-aware mobile phones. Analyzing GPS travel data from 8 participants (8-12 weeks each) and heating and cooling characteristics from 5 homes, we report results of running computer simulations estimating potential energy savings from such a device. Using a GPS-enabled thermostat might lead to savings of as much as 7% for some households that do not regularly use the temperature setback afforded by manual and programmable thermostats. Significantly, these savings could be obtained without requiring any change in occupant behavior or comfort level, and the technology could be implemented affordably by exploiting the ubiquity of mobile phones. Additional savings may be possible with modest context-sensitive prompting. We report on design considerations identified during a pilot test of a fully-functional implementation of the system.

References

[1]
CIA, The World Fact Book (cited 2008 08/15/2008), https://www.cia.gov/library/publications/the-world-factbook/
[2]
U.S. DOE Annual Energy Review (cited 2008 08/15/2008), http://www.eia.doe.gov/fuelelectric.html
[3]
U.S. DOE Building Energy Data Book (cited 2008 08/15/2008), http://buildingsdatabook.eren.doe.gov/docs/1.2.3.pdf
[4]
U.S. DOE Residential Energy Consumption Survey (cited 2008 08/15/2008), http://www.eia.doe.gov/emeu/recs/recs2005/hc2005_tables/detailed_tables2005.html
[5]
Nevius, J., Pigg, S.: Programmable Thermostats that Go Berserk? Taking a Social Perspective on Space Heating in Wisconsin. In: Proc. ACEEE Summer Study on Energy Efficiency in Buildings, vol. 8, pp. 233-244 (2000)
[6]
Plourde, A.: Programmable Thermostats as Means of Generating Energy Savings: Some Pros and Cons. Canadian Building Energy End-Use Data and Analysis Centre, Technical Report CBEEDAC 2003-RP-01 (2003)
[7]
Harris, C., Cahill, V.: Exploiting User Behaviour for Context-Aware Power Management. Proc. Wireless And Mobile Computing, Networking And Comm. 4, 122-130 (2005)
[8]
Ross, J.P., Meier, A.: Whole-House Measurements of Standby Power Consumption. In: Proc. 2nd Int'l Conf. on Energy Efficiency in Household App. and Lighting, vol. 108(13) (2000)
[9]
Roy, A., Bhaumik, S.K.D., Bhattacharya, A., Basu, K., Cook, D.J., Das, S.K.: Location Aware Resource Management in Smart Homes. In: Proc. IEEE Int'l Conf. on Pervasive Computing and Communications, pp. 481-488 (2003)
[10]
Harle, R.K., Hopper, A.: The Potential for Location-Aware Power Management. In: Int'l Conf on Ubiquitous Computing, pp. 302-311 (2008)
[11]
Thermostat History (cited 08/15/2008), http://www.prothermostats.com/history.php
[12]
Keyson, D.V., de Hoogh, M.P.A.J., Freudenthal, A., Vermeeren, A.P.O.S.: The Intelligent Thermostat: A Mixed-Initiative User Interface. In: Proc. Conf. on Human Factors in Computing Systems, pp. 59-60 (2000)
[13]
Fountain, M., Brager, G., Arens, E., Bauman, F., Benton, C.: Comfort Control for Short-Term Occupancy. Energy and Buildings 21, 1-3 (1994)
[14]
Mozer, M.C., Vidmar, L., Dodier, R.H.: The Neurothermostat, Predictive Optimal Control of Residental Heating Systems. In: Advances in Neural Information Processing Systems, vol. 9, pp. 953-959. MIT Press, Cambridge (1997)
[15]
Titus, E.: Advanced Retrofit: A Pilot Study in Maximum Residential Energy Efficiency. In: Proc. ACEEE Summer Study on Energy Efficiency in Buildings, vol. 1, pp. 239-245 (1996)
[16]
Fuji, H., Lutzenhiser, L.: Japanese Residential Air-Conditioning: Natural Cooling and Intelligent Systems. Energy and Buildings 18, 221-233 (1992)
[17]
Springer, D., Loisos, G., Rainer, L.: Non-Compressor Cooling Alternatives for Reducing Residential Peak Load. In: Proc. ACEEE Summer Study on Energy Efficiency in Buildings, vol. 1, pp. 319-330 (2000)
[18]
The Lawrence Berkeley National Laboratory. Thermostats and Comfort Controls (cited 2008 08/14/2008), http://comfortcontrols.lbl.gov/
[19]
Kempton, W.: Two Theories of Home Heat Control. Cog. Science 10, 75-90 (1986)
[20]
Gladhart, P., Weihl, J.: The Effects of Low Income Weatherization on Interior Temperature, Occupant Comfort and Household Management Behavior. In: Proc. ACEEE Summer Study on Energy Efficiency in Buildings, vol. 2, pp. 43-52 (1990)
[21]
Sachs, H.: Programmable Thermostats. American Council for an Energy Efficient Economy Technical Report (2004)
[22]
Analytics, R.: Validating the Impact of Programmable Thermostats: Final Report. RLW Analytics, Inc., Middletown, CT (2007)
[23]
Karjalainen, S., Koistinen, O.: User Problems with Individual Temperature Control in Offices. Building and Environment 42, 2880-2887 (2007)
[24]
Mozer, M.: The Neural Network House: An Environment that Adapts to its Inhabitants. In: Proc. AAAI Symposium on Intelligent Environments, pp. 110-114 (1998)
[25]
TrackStick (cited 2008 08/15/2008), http://www.trackstick.com/
[26]
LASCAR Logger (cited 2008 08/15/2008), http://www.lascarelectronics.com/
[27]
LOGiT Current and Voltage Data Logger (cited 2008 08/15/2008), http://www.supco.com/LOGiT%20Data%20Loggers.htm
[28]
U.S. Env. Protection Agency Energy Star Programmable Thermostats Specification (cited 2008 08/15/2008), http://www.energystar.gov/ index.cfm?c=revisions.thermostats_spec
[29]
Mull, T.E.: HVAC Principles and Applications Manual. McGraw-Hill Professional, New York (1997)
[30]
MapQuest WebService (cited 2008 08/15/2008), http://developer.mapquest.com/
[31]
U.S. Census Bureau (cited 2008 08/15/2008), http://www.census.gov/
[32]
Yahoo Weather WebService (cited 2008 08/15/2008), http://weather.yahooapis.com/forecastrss?p=ZipCode
[33]
Residential Control Systems (cited 2008 08/15/2008), http://www.resconsys.com/products/stats/index.htm

Cited By

View all
  • (2021)“It did not give me an option to decline”: A Longitudinal Analysis of the User Experience of Security and Privacy in Smart Home ProductsProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445691(1-16)Online publication date: 6-May-2021
  • (2018)Co-performanceProceedings of the 2018 CHI Conference on Human Factors in Computing Systems10.1145/3173574.3173699(1-13)Online publication date: 21-Apr-2018
  • (2017)ReefProceedings of the 2017 Conference on Designing Interactive Systems10.1145/3064663.3064685(191-202)Online publication date: 10-Jun-2017
  • Show More Cited By

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image Guide Proceedings
Pervasive '09: Proceedings of the 7th International Conference on Pervasive Computing
May 2009
405 pages
ISBN:9783642015151
  • Editors:
  • Hideyuki Tokuda,
  • Michael Beigl,
  • Adrian Friday,
  • A. J. Brush,
  • Yoshito Tobe

Publisher

Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 11 May 2009

Qualifiers

  • Article

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 18 Dec 2024

Other Metrics

Citations

Cited By

View all
  • (2021)“It did not give me an option to decline”: A Longitudinal Analysis of the User Experience of Security and Privacy in Smart Home ProductsProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445691(1-16)Online publication date: 6-May-2021
  • (2018)Co-performanceProceedings of the 2018 CHI Conference on Human Factors in Computing Systems10.1145/3173574.3173699(1-13)Online publication date: 21-Apr-2018
  • (2017)ReefProceedings of the 2017 Conference on Designing Interactive Systems10.1145/3064663.3064685(191-202)Online publication date: 10-Jun-2017
  • (2016)WalkSenseProceedings of the 3rd ACM International Conference on Systems for Energy-Efficient Built Environments10.1145/2993422.2993576(167-176)Online publication date: 16-Nov-2016
  • (2016)How does eco-coaching help to save energy? assessing a recommendation system for energy-efficient thermostat schedulingProceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/2971648.2971698(1176-1187)Online publication date: 12-Sep-2016
  • (2016)ThermalSenseProceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/2971648.2971659(1212-1222)Online publication date: 12-Sep-2016
  • (2016)Tariff AgentACM Transactions on Computer-Human Interaction10.1145/294377023:4(1-28)Online publication date: 3-Aug-2016
  • (2016)When things matterJournal of Network and Computer Applications10.1016/j.jnca.2015.12.01664:C(137-153)Online publication date: 1-Apr-2016
  • (2015)Managing energy tariffs with agentsAdjunct Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers10.1145/2800835.2801626(1551-1558)Online publication date: 7-Sep-2015
  • (2015)A Contextual Approach to Home Energy Management Systems Automation in Daily PracticesProceedings of the European Conference on Cognitive Ergonomics 201510.1145/2788412.2788436(1-4)Online publication date: 1-Jul-2015
  • Show More Cited By

View Options

View options

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media