An Agent-Based Occupancy Simulator for Building Performance Simulation
|Title||An Agent-Based Occupancy Simulator for Building Performance Simulation|
|Publication Type||Conference Paper|
|Year of Publication||2016|
|Authors||Chen, Yixing, Xuan Luo, and Tianzhen Hong|
Traditionally, in building energy modeling (BEM) programs, occupancy inputs are deterministic and less indicative of real world scenarios, contributing todiscrepancies between simulated and actual energy use in buildings. This paper presents an agent-based occupancy simulator, which models each occupant asan agent with specified movement events and statistics of space uses. To reduce the amount of data inputs, the simulator allows users to group occupantswith similar behaviors as an occupant type, and spaces with similar function as a space type. It is a web-based application with friendly graphical userinterface, cloud computing, and data storage. A case study is presented to demonstrate the usage of the occupancy simulator and its integration withEnergyPlus and obFMU. It first shows the required data inputs and the results from the occupancy simulator. Then, the generated occupant schedules areused in the EnergyPlus and obFMU simulation to evaluate the impacts of occupant behavior on building energy performance. The simulation resultsindicate that the occupancy simulator can capture the diversity of space’s occupancy behavior rather than the static weekly profiles, and can generate realisticoccupancy schedules to support building performance simulation.
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