Agent-based simulation to evaluate and categorize industrial symbiosis indicators
Authored by Gabriel Couto Mantese, Daniel Capaldo Amaral
Date Published: 2018
DOI: 10.1016/j.jclepro.2018.03.142
Sponsors:
Sao Paulo Research Foundation
Platforms:
NetLogo
Model Documentation:
Other Narrative
Flow charts
Model Code URLs:
http://modelingcommons.org/browse/one_model/4780#model_tabs_browse_info
Abstract
There is a research effort towards the understanding of industrial
symbiosis and part of it is directed to the development of performance
indicators. The result is a variety of indicators, which hinders the
evaluation, comparison, and decision by researchers and practitioners.
This paper presents a comparative evaluation of the industrial symbiosis
indicators available in the literature. The indicators were simulated
through an agent-based model in two distinct scenarios, in a stable
environment and in one with significant changes. The behaviors of the
indicators were compared and the results allowed the classification of
the indicators into three groups: (i) those related to the amount of
by-products reused; (ii) those that behave according to the percentage
of by-products reused; (iii) those influenced by the number of links.
Considering the differences in performance and complexity, amount of
information for calculation, it is concluded that the best alternative
is to combine indicators from different groups. The indicators
Connectance \& Eco-Connectance (simplicity), Eco-Efficiency (overall
park impact), and Industrial Symbiosis Indicator (flexibility) stood
out. The simulation proved to be a platform that can be used for the
study and development of these indicators. (C) 2018 Elsevier Ltd. All
rights reserved.
Tags
Agent-based modeling
networks
China
Industrial symbiosis
systems
Model
Parks
Quantitative assessment
Performance indicators
Validation of indicators
Kalundborg