Green Energy and Networking. 5th EAI International Conference, GreeNets 2018, Guimarães, Portugal, November 21–23, 2018, Proceedings

Research Article

Energy End-Use Flexibility of the Next Generation of Decision-Makers in a Smart Grid Setting: An Exploratory Study

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  • @INPROCEEDINGS{10.1007/978-3-030-12950-7_2,
        author={In\"{e}s Reis and Marta Lopes and Paula Ferreira and Carlos Antunes and Madalena Ara\^{u}jo},
        title={Energy End-Use Flexibility of the Next Generation of Decision-Makers in a Smart Grid Setting: An Exploratory Study},
        proceedings={Green Energy and Networking. 5th EAI International Conference, GreeNets 2018, Guimar\"{a}es, Portugal, November 21--23, 2018, Proceedings},
        proceedings_a={GREENETS},
        year={2019},
        month={2},
        keywords={Energy decision-makers Smart grids End-use flexibility Smart technologies},
        doi={10.1007/978-3-030-12950-7_2}
    }
    
  • Inês Reis
    Marta Lopes
    Paula Ferreira
    Carlos Antunes
    Madalena Araújo
    Year: 2019
    Energy End-Use Flexibility of the Next Generation of Decision-Makers in a Smart Grid Setting: An Exploratory Study
    GREENETS
    Springer
    DOI: 10.1007/978-3-030-12950-7_2
Inês Reis1,*, Marta Lopes, Paula Ferreira2, Carlos Antunes, Madalena Araújo2
  • 1: INESC Coimbra - Institute for Systems Engineering and Computers, DEEC
  • 2: University of Minho
*Contact email: inesfreis@deec.uc.pt

Abstract

Demand Response (DR) mechanisms have been developed to reshape consumption patterns in face of price signals, enabling to deal with the increasing penetration of intermittent renewable resources and balance electricity demand and supply. Although DR mechanisms have been in place for some time, it is still unclear to what extent end-users are ready, or willing, to embrace DR programs that can be complex and imply adjustments of daily routines. This work aims to understand how the next generation of Portuguese decision makers, namely young adults in higher education, are prepared to deal with energy decisions in the context of the challenges brought by the smart grids. Results demonstrate that cost savings and the contribution to environmental protection are found to be important motivating factors to enroll into DR programs, which should be further exploited in future actions for the promotion of end-user engagement. Moreover, DR solutions are well-accepted by higher education students, although with limited flexibility levels. In addition, there is room to exploit the willingness to adopt time-differentiated tariffs, yet savings should be clearer and more attractive to end-users. Also, the framing effect should be considered when promoting this type of time-differentiated tariffs.