Building Social License for Automated Demand-Side Management—Case Study Research in the Swiss Residential Sector

Julien Lancelot Michellod (), Declan Kuch, Christian Winzer, Martin K. Patel and Selin Yilmaz
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Julien Lancelot Michellod: Department for Energy Efficiency, Institute for Environmental Sciences (ISE), Department F.-A. Forel for Environmental and Aquatic Sciences (DEFSE), Faculty of Science, University of Geneva, 1205 Geneva, Switzerland
Declan Kuch: Institute for Culture and Society, Western Sydney University, Sydney 2000, Australia
Christian Winzer: Centre for Energy and the Environment (CEE), School of Management and Law, Zurich University of Applied Sciences, 8400 Winterthur, Switzerland
Martin K. Patel: Department for Energy Efficiency, Institute for Environmental Sciences (ISE), Department F.-A. Forel for Environmental and Aquatic Sciences (DEFSE), Faculty of Science, University of Geneva, 1205 Geneva, Switzerland
Selin Yilmaz: Department for Energy Efficiency, Institute for Environmental Sciences (ISE), Department F.-A. Forel for Environmental and Aquatic Sciences (DEFSE), Faculty of Science, University of Geneva, 1205 Geneva, Switzerland

Energies, 2022, vol. 15, issue 20, 1-25

Abstract: Demand-side management (DSM) is increasingly needed for answering electricity flexibility needs in the upcoming transformation of energy systems. Use of automation leads to better efficiency, but its acceptance is problematic since it is linked with several issues, such as privacy or loss of control. Different approaches investigate what should be done for building community support for automation for the purpose of DSM, but it is only recently that literature has shown interest in the application of social license as a concept merging several issues traditionally treated separately. The social license concept emerged in the mining sector before being adopted for other problematic resources. It serves to identify different levels of community support for a project/company as well as various factors that influence it, such as economic and socio-political legitimacy and interactional trust. This paper investigates, through empirical evidence from eight case studies, what has been done in different contexts to build trust and legitimacy for an automated DSM project. Our findings suggest that patterns exist in respect of benefits, risks and rationale presented, the retention of control, information gathered, and inclusion and that these factors differ according to appliances/devices automated, operators of automation, and end-users targeted.

Keywords: social license; demand-side management; acceptance; energy; automation; smart grid (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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