Abstract
The aim of this paper is to highlight possibilities for designers to change their products towards showing a better energy performance during their usage. To this end, the paper offers them a simplistic methodology, which supports the consideration of the most important aspects of energy saving. This methodological support is needed since not only electronic household products, but also consumer behaviors have become more complex over the years. In this research we are focusing on saving by adding extra smart energy saving functions. Product equipped with some level of intelligence are able to perceive their environment, can be aware of the presence of people and other agents, and can respond smartly to the needs of these agents. The proposed methodology has been developed to support designers in using these ubiquitous controllers to optimize energy consumption. Because it seems to be not obvious to find the energy saving controller or combination with the highest gains. The ubiquitous energy controllers are nonetheless additions to the original product and the trade-off between the extra gains and the costs of adding a control function must be made.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
S. Firth, et al., "Identifying trends in the use of domestic appliances from household electricity consumption measurements," Energy and Buildings, vol. 40, pp. 926936, 2008.
R. Morris, The Fundamentals of Product Design: AVA Publishing, 2009.
T. Crosbie, "Household energy studies: the gap [18] between theory and method," Energy & Environment, vol. 17, pp. 735-753, 2006.
N. F. M. Roozenburg and J. Eekels, Productontwerpen, [19] structuur en methoden (2nd edition): Uitgeverij Lemma BV, Utrecht, The Netherlands, 1995.
J. Braet and P. Verhaert, The practice of new products
and new business: Uitgeverij acco, Leuven, 2007.J. Buijs and R. Valkenburg, Integrale Productontwikkeling. Derde druk.: Lemma, The Hague, The Netherlands, 2005.
G. Wood and M. Newborough, "Dynamic energy- consumption indicators for domestic appliances: environment, behaviour and design," Energy and [22] Buildings, vol. 35, pp. 821-841, 2003.
I. Mansouri, et al., "Energy consumption in UK households: Impact of domestic electrical appliances," [23] Applied Energy, vol. 54, pp. 211-285, 1996.
D. Lilley, et al., "Reducing Energy Use in Social Housing - Examining contextual design constraints and enablers," presented at the 6th International Symposium [24] on Environmentally Conscious Design and Inverse Manufacturing, Sapporo, Japan, 2010
R. Parasuraman, et al., "A model for types and levels of human interaction with automation," IEEE Transactions [25] on Systems, Man, and Cybernetics Part A:Systems and Humans., vol. 30, pp. 286-297, 2000.
S. K. Das and D. J. Cook, "Designing smart environments: A paradigm based on learning and prediction," in Lecture Notes in Computer Science [26] (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) vol. [27] 3776 LNCS, ed. Kolkata, 2005, pp. 80-90.
J. Sauer and B. Ruttinger, "Automation and decision support in interactive consumer products," Ergonomics, [28] vol. 50, pp. 902-919, 2007.
T. Hargreaves, et al., "Making energy visible: A qualitative field study of how householders interact with feedback from smart energy monitors," Energy Policy, [29] vol. 38, pp. 6111-6119, 2010.
J. Froehlich, et al., "Disaggregated End-Use Energy Sensing for the Smart Grid," Pervasive Computing, IEEE, vol. 10, pp. 28-39, 2011.
C. Fischer, "Feedback on household electricity consumption: a tool for saving energy?," Energy Efficiency, vol. 1, pp. 79-104, 2008.
E. Rodriguez and C. Boks, "How design of products [31] affects user behaviour and vice versa: the environmental implications," in 4th Int. Symp. on Environmentally Conscious Design and Inverse [32] Manufacturing, Tokyo, 2005, pp. 54-61.
E. W. A. Elias, et al., "Quantifiyng the energy impacts of use: a product energy profile approach," presented at the 16th CIRP International Conference on Life Cycle Engineering, Cairo, Egypt, 2009.
E. Du Bois, et al., "Critical review of smart energy saving in household electronics," in TMCE 2010, Ancona, Italy, 2010, pp. 1147-1160.
R. Vastamäki, et al., "A behavioural model of temperature controller usage and energy saving," Personal and Ubiquitous Computing, vol. 9, pp. 250259, 2005.
A. Bogliolo, et al., "Specification and analysis of power- managed systems," Proceedings of the IEEE, vol. 92, pp. 1308-1345, 2004.
R. Strijk, "Information technology impacts on the US energy demand profile," presented at the Electronics Goes Green Berlin, 2004.
W. Poortinga, et al., "Household preferences for energy- saving measures: A conjoint analysis," Journal of Economic Psychology, vol. 24, pp. 49-64, 2003
C. Harris and V. Cahill, "An empirical study of the potential for context-aware power management," in 9th International Conference on Ubiquitous Computing, lnnsbruck, 2007, pp. 235-252.
A. Kofod-Petersen and A. Aamodt, "Case-based reasoning for situation-aware ambient intelligence: a hospital ward evaluation study," in ICCBR 2009, Berlin, Heidelberg, 2009, pp. 450 - 464.
S. Jie and W. ZhaoHui, "Context Reasoning Technologies in Ubiquitous Computing Environment," in Embedded and Ubiquitous Computing. vol. 4096, E. Sha, et al., Eds., ed: Springer Berlin / Heidelberg, 2006, pp. 1027-1036.
eHow.com. (2011). How to Use Motion Sensors to Increase Energy Efficiency.
S. Jiang, et al., "Product cost estimation model in early design phase based on cost cluster," Chinese Journal of Mechanical Engineering, vol. 43, pp. 205-209, 2007.
A. Niazi, et al., "Product Cost Estimation: Technique Classification and Methodology Review," Journal of Manufacturing Science and Engineering, vol. 128, pp. 563-575, 2006.
M. L. A. Willems and A. L. N. Stevels, "A financial model for environment-friendly changes in designs of electronic products," Proc. 1995 Int. Conf. Clean Electron. Products Technol., pp. 83-87, 1995.
P. Raghavan, et al., "Coffee: Compiler framework for energy-aware exploration," in 3rd Int. Conference on High Performance Embedded Architectures and Compilers, Goteborg, 2008, pp. 193-208.
W. Van der Vegte, "Scenario-driven simulation of manipulative interaction with products," Ph.D thesis, TU Delft, Delft, 2009.
M. Satyanarayanan, "Pervasive computing: vision and challenges," Personal Communications, IEEE, vol. 8, pp. 10-17, 2001.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer Science+Business Media Dordrecht
About this paper
Cite this paper
Du Bois, E., Horvath, I. (2012). An easy-to-use methodological proposal for considering ubiquitous controllers in energy use optimization. In: Matsumoto, M., Umeda, Y., Masui, K., Fukushige, S. (eds) Design for Innovative Value Towards a Sustainable Society. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-3010-6_67
Download citation
DOI: https://doi.org/10.1007/978-94-007-3010-6_67
Publisher Name: Springer, Dordrecht
Online ISBN: 978-94-007-3010-6
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)