Modeling Occupant-Building-Appliance Interaction for Energy Waste Analysis. (2016)

• Record Type: Journal Article
• Authors: Carmenate, Triana; Inyim, Peeraya; Pachekar, Nupoor; Chauhan, Geeticka; Bobadilla, Leonardo; Batouli, Mostafa; Mostafavi, Ali
• Is Part Of: Procedia engineering. Volume 145(2016)
• Page Start: 42
• Page End: 49
• Publication Date: 2016
• Subjects: human building appliance interaction -- building energy -- agent-based modeling -- emergent energy perfromance -- occupant behavior -- energy efficiency; Engineering -- Congresses; Engineering -- Periodicals; Engineering; Conference proceedings; Periodicals; 620.005
• DOI: 10.1016/j.proeng.2016.04.012
• Languages: English
• ISSNs: 1877-7058

Abstract

Abstract: The objective of this paper is to discover the emergent energy performance and determinants of energy waste in buildings. Electricity consumption in the U.S. attributes to 73% of energy waste in buildings and much of this waste is due to improper design, operation, and use of appliances. In particular, the operation or use phase of buildings and the way occupants behave significantly contribute to energy waste. Understanding the determinants of energy waste during the operation phase of buildings is a challenging task due to the complex interactions between the occupants, building units, and appliances. To decode these complex interactions and facilitate a better understanding of the determinants of energy waste, a simulation approach is used in this study. An agent-based simulation model was developed to capture the diverse attributes and dynamic behaviors of building occupants at the interface of human-building-appliance interactions. The application of the proposed model is demonstrated in a case study. Using simulation experiments, the interactions between occupant, building unit and appliance on energy consumption were investigated. The simulation model also was used for estimating determinants of energy waste. In addition, the simulation model includes a visualization interface that facilitates communication of strategies between the buildings users and facility managers. The results will highlight the significant attributes and effective strategies for energy waste reduction at the interface of human-building-appliance interactions. This information has potentially significant implications for building designers, facility managers, and users through a better understanding of emergent energy performance of buildings.