Modeling innovation diffusion for renewable energy technologies in city neighborhoods

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

2 Citations (Scopus)

Abstract

We present a model of innovation diffusion for Renewable Energy Technologies (RET) in Qatar city neighborhoods based on the spread of information in social and city-neighborhood networks. First, we evaluate the ability of the Barabási Albert [13] model in diverse configurations to match the characteristics of a reference RET innovation diffusion network extracted from Twitter. Next, we create a network of city buildings in neighborhoods that include geo-located users in the Twitter network using constraints derived from Qatar's census geography. Finally, the information diffusion patterns in the household and Twitter networks are combined to model the rate of diffusion of renewable energy innovation, using an adapted linear threshold approach to information spread. The resulting approach provides a methodology for capturing how RET innovation diffusion from online social networks and city neighborhood networks may jointly influence the residential adoption of renewable energy technologies.

Original languageEnglish
Title of host publication2018 9th International Renewable Energy Congress, IREC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781538609989
DOIs
Publication statusPublished - 21 May 2018
Event9th International Renewable Energy Congress, IREC 2018 - Hammamet, Tunisia
Duration: 20 Mar 201822 Mar 2018

Other

Other9th International Renewable Energy Congress, IREC 2018
CountryTunisia
CityHammamet
Period20/3/1822/3/18

Keywords

  • Diffusion of innovation
  • Renewable energy adoption
  • Renewable energy technologies
  • Social network analysis

ASJC Scopus subject areas

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

Cite this

Abbar, S., Boumaiza, A., Mohands, N., & Sanfilippo, A. (2018). Modeling innovation diffusion for renewable energy technologies in city neighborhoods. In 2018 9th International Renewable Energy Congress, IREC 2018 (pp. 1-6). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IREC.2018.8362523