A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Analysis of Lighting Occupancy Sensor Installation in Building Renovation Using Agent-Based Modeling of Occupant Behavior
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.
Analysis of Lighting Occupancy Sensor Installation in Building Renovation Using Agent-Based Modeling of Occupant Behavior
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.
Analysis of Lighting Occupancy Sensor Installation in Building Renovation Using Agent-Based Modeling of Occupant Behavior
Norouziasl, Seddigheh (author) / Jafari, Amirhosein (author) / Wang, Chao (author)
ASCE International Conference on Computing in Civil Engineering 2019 ; 2019 ; Atlanta, Georgia
Computing in Civil Engineering 2019 ; 593-601
2019-06-13
Conference paper
Electronic Resource
English
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