The Character of Eco-feedback Systems for Energy Communities

Autor: Èlia Gil Peña, Rikke Hagensby Jensen
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Peña, È G & Jensen, R H 2023, The Character of Eco-feedback Systems for Energy Communities . in Proceedings of the 11th International Conference on Communities and Technologies-Humanization of Digital Technologies 2023, C and T 2023 : Humanization of Digital Technologies . Association for Computing Machinery, pp. 203–214, The 11th International Conference on Communities and Technologies – Humanization of Digital Technologies, Lathi, Finland, 29/05/2023 . https://doi.org/10.1145/3593743.3593783
Peña, È G & Jensen, R H 2023, The Character of Eco-feedback Systems for Energy Communities . in The 11th International Conference on Communities and Technologies (C &T ’23) : Humanization of Digital Technologies . Association for Computing Machinery, pp. 203–214, The 11th International Conference on Communities and Technologies – Humanization of Digital Technologies, Lathi, Finland, 29/05/2023 . https://doi.org/10.1145/3593743.3593783
DOI: 10.1145/3593743.3593783
Popis: Energy communities are emerging around Europe with a vision to transition the traditional centralised energy system to one where individual households can collaborate to become energy producers. Although the vision of energy communities is still in a formative stage, it seems members of such organisations will need digital technology to manage and organise renewable energy together. The design of eco-feedback designs appears as a digital means to create awareness of this need. Yet, until recently, eco-feedback has been designed to target the individual householder. The research presented in this paper aims to identify design characteristics of eco- feedback systems aimed at collaborative energy communities. We explore two different concept designs that are evaluated in a focus group session with prospective energy community members to establish design characteristics. The findings show that participants not only identified characteristics related to different eco-feedback design characters but also identified a set of properties related to the collaborative and social nature of the community.
Databáze: OpenAIRE