Environmental Impact Assessment of the Heterogeneity in Consumers' Usage Behavior: An Agent-Based Modeling Approach
Authored by Ardeshir Raihanian Mashhadi, Sara Behdad
Date Published: 2018
DOI: 10.1111/jiec.12622
Sponsors:
United States National Science Foundation (NSF)
Platforms:
AnyLogic
Model Documentation:
Other Narrative
Flow charts
Model Code URLs:
Model code not found
Abstract
The aim of this study is to develop a framework for understanding the
heterogeneity and uncertainties present in the usage phase of the
product life cycle through utilizing the capabilities of an agent-based
modeling (ABM) technique. An ABM framework is presented to model
consumers' daily product usage decisions and to assess the corresponding
electricity consumption patterns. The theory of planned behavior (TPB),
with the addition of the habit construct, is used to model agents'
decision-making criteria. A case study is presented on the power
management behavior of personal computer users and the possible benefits
of using smart metering and feedback systems. The results of the
simulation demonstrate that the utilization of smart metering and
feedback systems can promote the energy conservation behaviors and
reduce the total PC electricity consumption of households by 20\%.
Tags
Agent-based modeling
Energy consumption
Consumer Behavior
Feedback
systems
Power
Methodology
technology
Life-cycle assessment
Office Buildings
Products
Computer
Industrial
ecology
Life cycle assessment
Smart metering and feedback systems
Household electricity consumption
Energy-conservation
Personal-computer