• DocumentCode
    150858
  • Title

    Towards an agent-based model of urban electricity sharing

  • Author

    Brudermann, Thomas ; Yamagata, Yoshiki

  • Author_Institution
    Inst. of Syst. Sci., Innovation & Sustainability Res., Univ. of Graz, Graz, Austria
  • fYear
    2014
  • fDate
    19-21 March 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Research on urban resilience is increasingly receiving attention by both policy makers and researchers. In the on-going debate, the focus is usually placed on economic and infrastructural aspects. Human factors, such as collective behavior change in the face of environmental threats or in the aftermath of extreme events, have up to present not been investigated extensively. In this research, we aim to include human factors and investigate behavioral reactions to a large-scale electricity black-out via means of social simulation. Our overall research question is: Can an electricity sharing system replace the electricity market, when supply is scarce and no market mechanisms exist anymore? To investigate possible scenarios of behavioral reactions we aim to develop an agent-based simulation model, and aim to hint to crucial implementation aspects for electricity sharing systems for emergency cases.
  • Keywords
    human factors; power consumption; power markets; agent-based model; collective behavior change; economic aspects; environmental threats; human factors; infrastructural aspects; large-scale electricity black-out; policy makers; policy researchers; social simulation; urban electricity sharing; urban resilience; Biological system modeling; Cities and towns; Decision making; Economics; Electricity; Psychology; Resilience; Behavioral science; Cybernetics Part A; Decision theory; Nonlinear systems; Resilience; Systems and Humans;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Green Energy for Sustainable Development (ICUE), 2014 International Conference and Utility Exhibition on
  • Conference_Location
    Pattaya
  • Print_ISBN
    978-1-4799-2628-2
  • Type

    conf

  • Filename
    6828912