Public policy is instrumental in driving major changes in energy infrastructure, which will enable cities and states to transition from fossil fuels to renewables. Understanding the factors that motivate people to adopt new technology, therefore, is essential. Graduate student and PCCRC Incentive Grant recipient Jackson Bennett (Industrial Engineering) led a study that developed a data-centric framework to predict a community’s willingness to install residential solar based on economic, environmental, and social factors. Solar adaption rates were largely explained by variations in income, race, political leaning, average electric power consumption, and solar radiation. Armed with these insights, policy-makers can tailor incentive programs to improve access to renewable energy technology.
Bennett, Jackson, Aidan Baker, Emily Johncox, and Roshanak Nateghi (2020). Characterizing the Key Predictors of Renewable Energy Penetration for Sustainable and Resilient Communities. Journal of Management Engineering 36(4): 04020016.