Modeling The Impact Of Innovation Diffusion On Solar Pv Adoption In City Neighborhoods

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(dagger). 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.