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Modeling the Impact of Innovation Diffusion on Solar PV Adoption in City Neighborhoods

We present an agent-based model for Renewable Energy Technologies (RET) in Qatar city neighborhoods based on the spread of information in social networks within city-neighborhoods. Information diffusion patterns in household and Twitter networks are combined to model the rate of diffusion of RET innovation. 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. We demonstrate an application of this approach to an agent-based model of solar PV adoption in Qatar.