Multiple Input Multiple Output (MIMO) Model of an Industrial Ecosystem: An Agent-Based Modeling Approach
Abstract
This paper addresses the application of the Agent-Based Model (ABM) to simulate the evolution of Multiple Input Multiple Output (MIMO) eco-industrial parks to gain insight into their behavior. ABM technique has proven to be an effective tool that can be used to express the evolution of eco-industrial parks. The ABM represents autonomous entities, each with dynamic behavior. The agents within the eco-industrial park are factories, market buyers, and market sellers. The results showed that the Réseau agent-based model allowed the investigation of the behaviors exhibited by different agents in exchange for materials in the industrial park.
Keywords:
eco-industrial park, agent-based model, supply, demand, RéseauDownloads
References
R. R. Heeres, W. J. V. Vermeulen, and B. de Walle, "Eco-industrial park initiatives in the USA and the Netherlands: first lessons," Journal of Cleaner Production, vol. 12, no. 8-10, pp. 985-995, Oct. 2004. DOI: https://doi.org/10.1016/j.jclepro.2004.02.014
M. Mirata, "Experiences from early stages of a national industrial symbiosis programme in the UK: determinants and coordination challenges," Journal of Cleaner Production, vol. 12, no. 8-10, pp. 967-983, Jan. 2004. DOI: https://doi.org/10.1016/j.jclepro.2004.02.031
M. Mirata and R. Pearce, "Industrial Symbiosis in the UK," in Industrial Ecology and Spaces of Innovation, 2006, pp. 77-105.
M. Mirata and T. Emtairah, "Industrial symbiosis networks and the contribution to Environmental Innovation: the Case of the Landskrona Industrial Symbiosis Programme," Journal of Cleaner Production, vol. 13, no. 10-11, pp. 993-1002, Aug. 2005. DOI: https://doi.org/10.1016/j.jclepro.2004.12.010
B. R. Allenby and D. J. Richards, Eds., The Greening of Industrial Ecosystems. Washington, DC: National Academy of Engineering, 1994.
N. Jacobsen, "Industrial Symbiosis in Kalundborg, Denmark: A Quantitative Assessment of Economic and Environmental Aspects," Journal of Industrial Ecology, vol. 10, no. 1-2, pp. 239-255, Jan. 2006. DOI: https://doi.org/10.1162/108819806775545411
L. Fraccascia, V. Albino, and A. Garavelli, "Technical efficiency measures of industrial symbiosis networks using enterprise input-output analysis," International Journal of Production Economics, vol. 183, pp. 273-286, Jan. 2017. DOI: https://doi.org/10.1016/j.ijpe.2016.11.003
V. Grimm et al., "A standard protocol for describing individual-based and agent-based models," Ecological Modelling, vol. 198, pp. 115-126, Jan. 2006.
M. Martin, J. Ivner, N. Svensson, and M. Eklund, "Classification of Industrial Symbiosis Synergies: Application in the Biofuels Industry," presented at the Industrial Symbiosis and Eco-Industrial Parks, Aalborg, Denmark, Jun. 2009.
V. Gonela, Stochastic Optimization of Sustainable Industrial Symbiosis Based Hybrid Generation Bioethanol Supply Chains. North Dakota: North Dakota State University, 2013.
V. Gonela and J. Zhang, "Design of the optimal industrial symbiosis system to improve bioethanol production," Journal of Cleaner Production, vol. 64, pp. 513-534, Feb. 2014. DOI: https://doi.org/10.1016/j.jclepro.2013.07.059
M. T. M. Espino and L. M. Bellotindos, "A System Dynamics Modeling and Computer-based Simulation in Forecasting Long-term Sufficiency: A Philippine Chicken Meat Sector Case Study," Engineering, Technology & Applied Science Research, vol. 10, no. 2, pp. 5406-5411, Apr. 2020. DOI: https://doi.org/10.48084/etasr.3301
N. Bichraoui, B. Guillaume, and A. Halog, "Agent-based Modelling Simulation for the Development of an Industrial Symbiosis - Preliminary Results," Procedia Environmental Sciences, vol. 17, pp. 195-204, Dec. 2013. DOI: https://doi.org/10.1016/j.proenv.2013.02.029
D. Batten, "Fostering Industrial Symbiosis With Agent‐Based Simulation and Participatory Modeling," Journal of Industrial Ecology, vol. 13, no. 2, pp. 197-213, Apr. 2009. DOI: https://doi.org/10.1111/j.1530-9290.2009.00115.x
K. Cao, X. Feng, and H. Wan, "Applying agent-based modeling to the evolution of eco-industrial systems," Ecological Economics, vol. 68, no. 11, pp. 2868-2876, Sep. 2009. DOI: https://doi.org/10.1016/j.ecolecon.2009.06.009
M. Chertow and J. Ehrenfeld, "Organizing Self-Organizing Systems," Journal of Industrial Ecology, vol. 16, no. 1, pp. 13-27, Feb. 2012. DOI: https://doi.org/10.1111/j.1530-9290.2011.00450.x
D. Behrens, T. Schoormann, and R. Knackstedt, "Developing an Algorithm to Consider Mutliple Demand Response Objectives," Engineering, Technology and Applied Science Research, vol. 8, no. 1, pp. 2621-2626, Feb. 2018. DOI: https://doi.org/10.48084/etasr.1819
J. Raimbault et al., "A spatial agent based model for simulating and optimizing networked eco-industrial systems," Resources, Conservation and Recycling, vol. 155, Apr. 2020, Art. no. 104538. DOI: https://doi.org/10.1016/j.resconrec.2019.104538
T. Duong and T. Nguyen, "Network Reconfiguration for an Electric Distribution System with Distributed Generators based on Symbiotic Organisms Search," Engineering, Technology and Applied Science Research, vol. 9, no. 6, pp. 4925-4932, Nov. 2019. DOI: https://doi.org/10.48084/etasr.3166
J. D. Farmer and D. Foley, "The economy needs agent-based modelling," Nature, vol. 460, pp. 685-686, Aug. 2009. DOI: https://doi.org/10.1038/460685a
A. Borshchev and A. Filippov, "From System Dynamics and Discrete Event to Practical Agent Based Modeling: Reasons, Techniques, Tools," presented at the 22nd International Conference of the System Dynamics Society, Oxford, England, Jul. 2004.
M. R. Ghali, J.-M. Frayret, and C. Ahabchane, "Agent-based model of self-organized industrial symbiosis," Journal of Cleaner Production, vol. 161, pp. 452-465, Sep. 2017. DOI: https://doi.org/10.1016/j.jclepro.2017.05.128
G. O. Ajisegiri and F. L. Muller, "Effect of price dynamics in the design of eco-industrial parks: An agent-based modelling approach," presented at the 8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, Porto, Portugal, Jul. 2018, pp. 83-90. DOI: https://doi.org/10.5220/0006836300830090
D. M. Yazan, V. A. Romano, and V. Albino, "The design of industrial symbiosis: an input-output approach," Journal of Cleaner Production, vol. 129, pp. 537-547, Aug. 2016. DOI: https://doi.org/10.1016/j.jclepro.2016.03.160
B. P. Zeigler, T. G. Kim, and H. Praehofer, Theory of modeling and simulation. Cambridge, USA: Academic Press, 2000.
K. M. Carley, Validating Computational Models. Pittsburgh, Pennsylvania: Carnegie Mellon University, 1996.
D. Chassin, S. Behboodi, C. Crawford, and N. Djilali, "Agent-Based Simulation for Interconnection-Scale Renewable Integration and Demand Response Studies," Engineering, vol. 1, no. 4, pp. 422-435, Dec. 2015. DOI: https://doi.org/10.15302/J-ENG-2015109
F. Klugl, "A validation methodology for agent-based simulations," presented at the ACM Symposium on Applied Computing, Fortaleza, Ceara, Brazil, Mar. 2008, pp. 39-43. DOI: https://doi.org/10.1145/1363686.1363696
G. O. Ajisegiri, "Application of an Agent Based Model to Study the Resource Exchanges within Eco-industrial Parks," Ph.D. dissertation, University of Leeds, Leeds, UK, 2019.
V. Grimm, U. Berger, D. Deangelis, J. Polhill, J. Giske, and S. Railsback, "The ODD protocol: A review and first update," Ecological Modelling, vol. 221, no. 23, pp. 2760-2768, Nov. 2010. DOI: https://doi.org/10.1016/j.ecolmodel.2010.08.019
V. Grimm et al., "Pattern-Oriented Modeling of Agent-Based Complex Systems: Lessons from Ecology," Science, vol. 310, no. 5750, pp. 987-991, Dec. 2005. DOI: https://doi.org/10.1126/science.1116681
L. Appels et al., "Anaerobic Digestion in Global Bio-Energy Production: Potential and Research Challenges," Renewable and Sustainable Energy Reviews, vol. 15, no. 9, pp. 4295-4301, Dec. 2011. DOI: https://doi.org/10.1016/j.rser.2011.07.121
Downloads
How to Cite
License
Copyright (c) 2020 Authors
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain the copyright and grant the journal the right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) after its publication in ETASR with an acknowledgement of its initial publication in this journal.