Enabling energy conservation through effective decision aids

Why don't people adopt energy efficient appliances and curtail their behaviors to decrease energy use? People may not know which behaviors are truly effective and may be insufficiently motivated to change their behaviors. We focus on one area of this problem by first analyzing existing decision aids, tools available to help users make effective decisions. We explore EPA’s Energy Star program, DoE’s EERE calculators, and LBNL’s Home Energy Saver tool. We highlight their strengths and limitations and propose a framework to expand the functionality and uptake of the information through such aids. We suggest improvements along two broad areas. One area concerns the analytic capabilities and the information content of the decision aid, which focuses on (1) multiple goals and constraints, (2) hidden costs, and (3) heterogeneity in user characteristics. The other pertains to the framing so that users can easily process information through decision architecture by limiting choice overload and incorporating smart default options