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    Rights statement: © ACM, 2015. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in CHI '15 Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems http://dx.doi.org/10.1145/2702123.2702285

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Tiree energy pulse: exploring renewable energy forecasts on the edge of the grid

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published
Publication date04/2015
Host publicationCHI '15 Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems
Place of PublicationNew York
PublisherAssociation for Computing Machinery (ACM) Press
Pages1965-1974
Number of pages10
ISBN (print)9781450331456
<mark>Original language</mark>English

Abstract

In many parts of the world, the electricity supply industry makes the task of dealing with unpredictable spikes and dips in production and demand invisible to consumers, maintaining a seemingly unlimited supply. A future increase in reliance on time-variable renewable sources of electricity may lead to greater fluctuations in supply. We engaged remote islanders as equal partners in a research project that investigated through technology-mediated enquiry the topic of synchronising energy consumption with supply, and together built a prototype renewable energy forecast display. A number of participants described a change in their practices, saving high energy tasks for times when local renewable energy was expected to be available, despite having no financial incentive to do so. The main contributions of this paper are in: 1) the results of co-development sessions exploring systems supporting synchronising consumption with supply and 2) the findings arising from the deployment of the prototype.

Bibliographic note

© ACM, 2015. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in CHI '15 Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems http://dx.doi.org/10.1145/2702123.2702285