Modeling the impact of innovation diffusion on solar PV adoption in city neighborhoods

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3 Citations (Scopus)

Abstract

This study presents an agent-based model of innovation diffusion for Renewable Energy Technologies (RET) based on the spread of information in social networks within city neighborhoods. Information spread patterns across household and Twitter networks are combined to model the rate of RET innovation diffusion. The resulting approach provides a methodology for capturing how RET innovation diffusion in online social networks and city neighborhood networks may jointly influence the residential adoption of renewable energy technologies. An application of this approach is demonstrated with reference to solar PV adoption in Qatar.

Original languageEnglish
Pages (from-to)1749-1762
Number of pages14
JournalInternational Journal of Renewable Energy Research
Volume8
Issue number3
Publication statusPublished - Sep 2018

Keywords

  • Agent-based modeling
  • Diffusion of innovation
  • Renewable energy adoption
  • Renewable energy technologies
  • Social network analysis

ASJC Scopus subject areas

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

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