In Part 1 in the February issue, we introduced the fundamental definitions of the next generation of occupant models and compared their characteristics to current schedule-based ones, such as those specified in ASHRAE/IES Standard 90.1-2016. 1 In Part 2, we show how these models can inform better design decisions, through a simulation-based example of a private office. We relied on optimization to automatically select design variables with the objective of minimizing energy use. Results showed how accounting for occupant behavior (by using advanced occupant models) can lead to selecting different optimal design variables, relative to simulations using the current schedule-based occupant models. Part 1 noted that a major risk to using inaccurate modeling assumptions about occupants is that the energy models may mislead designers towards suboptimal designs.