Disaggregated End-Use Energy Sensing for the Smart Grid
IEEE Pervasive Computing
PreHeat: controlling home heating using occupancy prediction
Proceedings of the 13th international conference on Ubiquitous computing
Accounting for energy-reliant services within everyday life at home
Pervasive'12 Proceedings of the 10th international conference on Pervasive Computing
Understanding domestic energy consumption through interactive visualisation: a field study
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Understanding adaptive thermal comfort: new directions for UbiComp
Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
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Home sensing and automation systems are rarely discussed with reference to their direct energy demand, much less other environmental impacts such as greenhouse gas (GhG) emissions arising from their manufacture and transport. It is imperative that designers of such systems understand the impacts of the technologies they introduce, particularly where intended to save energy and promote sustainability. Using four case studies drawn from recent Ubicomp and HCI literature, this reflective paper quantifies the direct energy and estimates the embodied emissions arising from specific installations of home sensing. We contextualise this by comparing with typical impacts arising from existing ICT devices commonly found in the home, and highlight a number of ways in which designers can reduce the impacts of the systems they introduce into the home.