A feedback delivery system for communal energy consumption practices

Mina Rahimian, Lisa Domenica Iulo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In recent years, a pervasive shift of thinking has emerged in distributing the existing electrical grid in urban areas from centralized power generations to decentralized local power infrastructures, as a promising contribution to the energy resiliency of cities. Communities and neighborhoods adopting distributed energy resources as a means towards decentralization are designated to communal energy co-generation practices. Along with the co-generation of energy in such communities, it is as important to view energy consumption more than a personal decision but as a response to shared experiences and resources. Re-visioning energy consumption requires re-defining users as an indispensable element of a community through their participation in groups. This paper explores the benefit of computational means of energy feedback delivery, structured upon a collaborative incentive program, as an effective intellectual means of performing a participatory energy sharing dynamics within users of a community. We use the word “participatory” rather deliberately to place emphasize on humans as the end users of community-scale local power infrastructures, and on the institutional forces that reimagine the role of human action on constructing energy resiliency in such communities.

Original languageEnglish (US)
Title of host publicationHuman–Computer Interaction
Subtitle of host publicationInteraction Contexts - 19th International Conference, HCI International 2017, Proceedings
EditorsMasaaki Kurosu
PublisherSpringer Verlag
Pages512-521
Number of pages10
ISBN (Print)9783319580760
DOIs
StatePublished - Jan 1 2017
Event19th International Conference on Human–Computer Interaction, HCI International 2017 - Vancouver, Canada
Duration: Jul 9 2017Jul 14 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10272 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other19th International Conference on Human–Computer Interaction, HCI International 2017
CountryCanada
CityVancouver
Period7/9/177/14/17

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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    Rahimian, M., & Iulo, L. D. (2017). A feedback delivery system for communal energy consumption practices. In M. Kurosu (Ed.), Human–Computer Interaction: Interaction Contexts - 19th International Conference, HCI International 2017, Proceedings (pp. 512-521). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10272 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-58077-7_41