Journal article
Simulating the human-building interaction: Development and validation of an agent-based model of office occupant behaviors
Building and environment, v 88, pp 27-45
01 Jun 2015
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
This paper develops and validates an agent-based model (ABM) of occupant behavior using data from a one-year field study in a medium-sized, air-conditioned office building. The full ABM is presented in detail using a standard protocol for describing this type of model. Simulated occupant "agents" in the full ABM behave according to Perceptual Control Theory, taking the most immediate, unconstrained adaptive behaviors as needed to maintain their current thermal sensation within a reference range of seasonally acceptable sensations. ABM validation assigns simulated agents the personal characteristics and environmental context of real office occupants in the field study; executes the model; and compares the model's ability to predict observed fan, heater, and window use to the predictive abilities of several other behavior modeling options. The predictive performance of the full ABM compares favorably to that of the other modeling options on both the individual and aggregate outcome levels. The full ABM also appears capable of reproducing more familiar regression relationships between behavior and the local thermal environment. The paper concludes with a discussion of the model's current limitations and possibilities for future development. (C) 2014 Elsevier Ltd. All rights reserved.
Metrics
Details
- Title
- Simulating the human-building interaction: Development and validation of an agent-based model of office occupant behaviors
- Creators
- Jared Langevin - Drexel UniversityJin Wen - Drexel UniversityPatrick L. Gurian - Drexel University
- Publication Details
- Building and environment, v 88, pp 27-45
- Publisher
- Elsevier
- Number of pages
- 19
- Grant note
- U.S. National Science Foundation Graduate Research Fellowship; National Science Foundation (NSF)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering
- Web of Science ID
- WOS:000353753100005
- Scopus ID
- 2-s2.0-84939944927
- Other Identifier
- 991019168203104721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Construction & Building Technology
- Engineering, Civil
- Engineering, Environmental