This paper explores the motivations behind the adoption of key renewable energy technologies in an early adopter market. Notwithstanding their social benefits, uptake of electric vehicles, heat pumps, and solar photovoltaic panels remains low, necessitating targeted measures to address this. We...

This study explores the impact of socio-demographic, behavioural, and built-environment characteristics on residential renewable energy technology adoption. It provides new insights on factors influencing uptake using nearest neighbour and random forest machine learning models at a granular...

This paper aims to understand what motivates the adoption of key renewable energy technologies (RET) in early adopter markets. Electrification of heat and transport, through the deployment of heat pumps, electric vehicles and solar photovoltaic panels, combined with renewable sources of...

This paper explores heterogeneity in preferences for renewable home heating, more specifically heat pump systems, using a novel combination of psychological construct statements, based on the theory of planned behavior, and a discrete choice experiment. We employ a latent class analysis of a...

This paper aims to understand what motivates the adoption of key renewable energy technologies (RET) in early adopter markets. Electrification of heat and transport, through the deployment of heat pumps, electric vehicles and solar photovoltaic panels, combined with renewable sources of...

This paper explores the motivations behind the adoption of key renewable energy technologies in an early adopter market. Notwithstanding their social benefits, uptake of electric vehicles, heat pumps, and solar photovoltaic panels remains low, necessitating targeted measures to address this. We...

This study explores the impact of socio-demographic, behavioural, and built-environment characteristics on residential renewable energy technology adoption. It provides new insights on factors influencing uptake using nearest neighbour and random forest machine learning models at a granular...

This work studies the role of socio-economic and geospatial factors in shaping battery electric vehicle adoption for the case study of Ireland. It provides new insights on the level and timing of likely adoption at scale using a Bass diffusion model combined with a spatial model. The Bass model...