A socially intelligent approach to consumers’ collective capabilities in smart grids

Bagheri-Moghaddam, Faezeh and Oliveira, Sonja and Atkins, Ed and Chatzimichali, Anna; (2023) A socially intelligent approach to consumers’ collective capabilities in smart grids. In: 2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm). IEEE International Conference on Smart Grid Communications (SmartGridComm) . Institute of Electrical and Electronics Engineers Inc., GBR. ISBN 9781665455565 (https://doi.org/10.1109/SmartGridComm57358.2023.10...)

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Abstract

There is a pressing need to investigate consumers’ social relations within energy systems particularly in the context of socially smart grids at the domestic level. However, no studies to date have categorised or explained how such social relations manifest and what role different consumers play in managing home energy demand. This work provides for the first time, a categorisation of household archetypes through the social relations that govern them. This study draws on mixed data including a large-scale ethno-visual survey and interviews conducted with energy consumers in Glasgow and Bristol, UK. The analysis forms part of a wider study which integrates social identity theory (SIT), practice theory and rhythm-analysis. We primarily focus on insights derived from SIT as an approach to identifying consumers’ capabilities in smart energy systems and Home Energy Management (HEM) through a study of social relations. The findings reveal novel perspectives on how social identities shape HEM patterns and how the consequent socio-spatial and technical implications play a role in future demand reduction and the development of socially smart grids. The contribution of this study is two-fold; firstly, to demonstrate how prioritising social practices, identities, and rhythm-analysis can lead to novel interventions in smart grids and redefine the roles of the community, and neighbourhoods, and secondly to discuss the policy implications for planning future automated demand management via the acquisition of new socio-spatial insights into how diverse social identities and practices can foster just transitions and equitable energy futures in the UK and beyond.

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