An energy-aware, agent-based maintenance-scheduling framework to improve occupant satisfaction
Authored by Yang Cao, Tao Wang, Xinyi Song
Date Published: 2015
DOI: 10.1016/j.autcon.2015.09.002
Sponsors:
Chinese National Natural Science Foundation
Platforms:
No platforms listed
Model Documentation:
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Abstract
Facility management has become increasingly challenging due to complex
building systems that generate more diverse and complex maintenance
issues. Facility managers and staff must deal with many daily
maintenance requests despite various limitations, such as limited
budgets and staff, which can cause delay in responding to some
maintenance requests. A scheduling framework is proposed in this paper
to assist in improving facility management. In practice, maintenance
work is scheduled according to various priorities. For example, facility
managers first consider the impact of each problem in terms of system
failure and safety. In addition to those two factors, the framework
proposed in this paper considers both energy efficiency and occupant
satisfaction. It first quantified occupant satisfaction with data from
current building maintenance work. An empirical study on occupant
satisfaction was done based on classical disconfirmation theory and
referenced post-occupancy evaluation (POE) research. A survey was
designed to collect data to quantify occupant satisfaction. Based on the
disconfirmation theory, an agent-based model was then developed to
prioritize maintenance work to achieve maximum occupant satisfaction.
Subsequently, a building energy model was simulated in EnergyPlus to
quantify the impact of different aspects of a faulty HVAC system on
energy consumption. Finally, the framework was tested through simulation
and the results showed that occupant satisfaction level and building
energy efficiency were improved by 30 and 97\%, respectively, when using
the framework. (C) 2015 Elsevier B.V. All rights reserved.
Tags
Management
systems