Agent-based model coupled with Bayesian estimation for evaluation of social acceptance of geothermal development

Shuntaro Masuda, Kyle Bahr, Noriyoshi Tsuchiya

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In Japan, geothermal development has stagnated because of social risks, mainly the opposition of stakeholders. For mitigation of the risks, many studies have been conducted for analysis of social acceptance for development. Among them, Agent-Based Model (ABM) of opinion diffusion in a social network has been used to understand how acceptance develops dynamically. The objective of this study is to improve an existing model that reproduces realworld social network behavior through the introduction of a new parameter which reflects individual characteristics of stakeholders. We estimate the parameter by using a Bayesian network, introduce it into ABM and perform a proof-of-concept simulation of the model. This result gives confidence in the usefulness of this parameter as a practical tool for analysis of social acceptance in the future.

Original languageEnglish
Title of host publicationGeothermal Energy
Subtitle of host publicationPower To Do More - Geothermal Resources Council 2017 Annual Meeting, GRC 2017
PublisherGeothermal Resources Council
Pages2056-2067
Number of pages12
ISBN (Electronic)0934412227
Publication statusPublished - 2017 Jan 1
EventGeothermal Resources Council 41st Annual Meeting - Geothermal Energy: Power To Do More, GRC 2017 - Salt Lake City, United States
Duration: 2017 Oct 12017 Oct 4

Publication series

NameTransactions - Geothermal Resources Council
Volume41
ISSN (Print)0193-5933

Other

OtherGeothermal Resources Council 41st Annual Meeting - Geothermal Energy: Power To Do More, GRC 2017
CountryUnited States
CitySalt Lake City
Period17/10/117/10/4

Keywords

  • Agent-Based Model
  • Bayesian network
  • Modeling
  • Simulation
  • Social license to operate

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology
  • Geophysics

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  • Cite this

    Masuda, S., Bahr, K., & Tsuchiya, N. (2017). Agent-based model coupled with Bayesian estimation for evaluation of social acceptance of geothermal development. In Geothermal Energy: Power To Do More - Geothermal Resources Council 2017 Annual Meeting, GRC 2017 (pp. 2056-2067). (Transactions - Geothermal Resources Council; Vol. 41). Geothermal Resources Council.