Energy technology adoption is a complex process, involving the social, behavioral, and economic factors that impact individual decision-making. This paper uses an empirical, geographic information system (GIS)-integrated agent-based model of solar adoption to explore the importance of using...

Agent-based modeling (ABM) offers a nuanced framework for representing the bounded rationality of individual decision-makers. But in order to be useful ABM applications in human-technical systems demand rigor and robustness regarding empirical grounding and theoretical orientation. In this paper...

Diffusion of microgeneration technologies, particularly rooftop photovoltaic (PV), represents a key option in reducing emissions in the residential sector. We use a uniquely rich dataset from the burgeoning residential PV market in Texas to study the nature of the consumer's decision-making...

Carbon capture and storage (CCS) is a promising technology that might allow for significant reductions in CO2 emissions. But at present CCS is very expensive and its performance is highly uncertain at the scale of commercial power plants. Such challenges to deployment, though, are not new to...