ASCE International Conference on Computing in Civil Engineering 2019
Analysis of Lighting Occupancy Sensor Installation in Building Renovation Using Agent-Based Modeling of Occupant Behavior
Publication: Computing in Civil Engineering 2019: Visualization, Information Modeling, and Simulation
ABSTRACT
Lighting occupancy sensors offer great potential for decreasing lighting energy consumption by enhancing control options in residential and commercial buildings. Although occupancy sensors and their energy saving potential have been extensively studied through case studies, methods for investigating the feasibility of implementing this technology to renovate a specific building, considering a pre-defined occupant behavior, are very limited. This study introduces a framework that considers occupant behavior to analyze the impact of lighting occupancy sensors on the building lighting energy consumption, through the use of agent-based modeling. This study considers three main occupancy parameters, including number of occupants, occupant presence and movement, and occupant action behavior (i.e., switching the lights on/off in this case). The framework is able to analyze the feasibility of installing different lighting occupancy sensors and select the most cost-effective one, considering particular occupancy behavioral patterns. To validate the model, this study conducted a simplified office case study.
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Information & Authors
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Published In
Computing in Civil Engineering 2019: Visualization, Information Modeling, and Simulation
Pages: 593 - 601
Editors: Yong K. Cho, Ph.D., Georgia Institute of Technology, Fernanda Leite, Ph.D., University of Texas at Austin, Amir Behzadan, Ph.D., Texas A&M University, and Chao Wang, Ph.D., Louisiana State University
ISBN (Online): 978-0-7844-8242-1
Copyright
© 2019 American Society of Civil Engineers.
History
Published online: Jun 13, 2019
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