![](bg8.png)
of eco-industrial Park. As future work, we will
investigate how price setting by each of the agent will
have effect over the configuration of the EIP. We
intend to investigate the effect energy storage system
will have in the supply/demand mismatch that can
occur in the EIP system.
ACKNOWLEDGEMENTS
This research is supported by Tertiary Education
Trust Fund (TETFUND, Nigeria) and the European
Union’s Horizon 2020 research and innovation
programmed under SPIRE-06-2015 Energy and
resource management systems for improved
efficiency in the process industries Grant Agreement
no. 680843.
REFERENCES
Bichraoui, N., Guillaume, B. & Halog, A. 2013. Agent-
based Modelling Simulation for the Development of an
Industrial Symbiosis - Preliminary Results. Procedia
Environmental Sciences, 17, 195-204.
Cao, K., Feng, X. & Wan, H. 2009. Applying agent-based
modeling to the evolution of eco-industrial systems.
Ecological Economics, 68, 2868-2876.
Chertow, M. & Ehrenfeld, J. 2012. Organizing Self‐
Organizing Systems. Journal of Industrial Ecology, 16,
13-27.
Fraccascia, L., Albino, V. & Garavelli, C. A. 2017.
Technical efficiency measures of industrial symbiosis
networks using enterprise input-output analysis.
International Journal of Production Economics, 183,
273-286.
Ghali, M. R., Frayret, J.-M. & Ahabchane, C. 2017. Agent-
Based Model of Self-Organized Industrial Symbiosis.
Gonela, V. & Zhang, J. 2014. Design of the optimal
industrial symbiosis system to improve bioethanol
production. Journal of Cleaner Production, 64, 513-
534.
Grimm, V., Berger, U., Bastiansen, F., Eliassen, S., Ginot,
V., Giske, J., Goss-Custard, J., Grand, T., Heinz, S. K.,
Huse, G., Huth, A., Jepsen, J. U., Jørgensen, C., Mooij,
W. M., Müller, B., Pe’er, G., Piou, C., Railsback, S. F.,
Robbins, A. M., Robbins, M. M., Rossmanith, E.,
Rüger, N., Strand, E., Souissi, S., Stillman, R. A., Vabø,
R., Visser, U. & Deangelis, D. L. 2006. A standard
protocol for describing individual-based and agent-
based models. Ecological Modelling, 198, 115-126.
Heeres, R. R., Vermeulen, W. J. V. & De Walle, F. B. 2004.
Eco-industrial park initiatives in the USA and the
Netherlands: first lessons. Journal of Cleaner
Production, 12, 985-995.
Kim, H., Ryu, J.-H. & Lee, I.-B. 2012. Development of an
agent-based modeling methodology for an industrial
byproduct exchange network design. Industrial &
Engineering Chemistry Research, 51, 10860-10868.
Kuhn, J. R., Courtney, J. F., Morris, B. & Tatara, E. R.
2010. Agent-based analysis and simulation of the
consumer airline market share for Frontier Airlines.
Knowledge-Based Systems, 23, 875-882.
Mantese, G. C. & Amaral, D. C. 2018. Agent-based
simulation to evaluate and categorize industrial
symbiosis indicators. Journal of Cleaner Production,
186, 450-464.
Martin, M., Ivner, J., Svensson, N. & Eklund, M.
Classification of Industrial Symbiosis Synergies::
Application in the Biofuels Industry. Industrial
Symbiosis and Eco-Industrial Parks, 2009. GIN 2009,
2394.
Wilensky, U. & Evanston, I. 1999. NetLogo: Center for
connected learning and computer-based modeling.
Northwestern University, Evanston, IL, 4952.
Yazan, D. M., Romano, V. A. & Albino, V. 2016. The
design of industrial symbiosis: an input–output
approach. Journal of Cleaner Production, 129, 537-
547.
Zheng, K. & Jia, S. 2017. Promoting the Opportunity
Identification of Industrial Symbiosis: Agent-Based
Modeling Inspired by Innovation Diffusion Theory.
Sustainability, 9, 765.
SIMULTECH 2018 - 8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications
90