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Fostering Industrial Symbiosis With Agent‐Based Simulation and Participatory Modeling

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  • David F. Batten

Abstract

The sciences of industrial ecology, complex systems, and adaptive management are intimately related, since they deal with flows and dynamic interdependencies between system elements of various kinds. As such, the tool kit of complex systems science could enrich our understanding of how industrial ecosystems might evolve over time. In this article, I illustrate how an important tool of complex systems science—agent‐based simulation—can help to identify those potential elements of an industrial ecosystem that could work together to achieve more eco‐efficient outcomes. For example, I show how agent‐based simulation can generate cost‐efficient energy futures in which groups of firms behave more eco‐efficiently by introducing strategically located clusters of renewable, low‐emissions, distributed generation. I then explain how role‐playing games and participatory modeling can build trust and reduce conflict about the sharing of common‐pool resources such as water and energy among small clusters of evolving agents. Collective learning can encourage potential industrial partners to gradually cooperate by exchanging by‐products and/or sharing common infrastructure by dint of their close proximity. This kind of coevolutionary learning, aided by participatory modeling, could help to bring about industrial symbiosis.

Suggested Citation

  • David F. Batten, 2009. "Fostering Industrial Symbiosis With Agent‐Based Simulation and Participatory Modeling," Journal of Industrial Ecology, Yale University, vol. 13(2), pages 197-213, April.
    • Handle: RePEc:bla:inecol:v:13:y:2009:i:2:p:197-213
    DOI: 10.1111/j.1530-9290.2009.00115.x
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    Cited by:

    1. Fraccascia, Luca, 2020. "Quantifying the direct network effect for online platforms supporting industrial symbiosis: an agent-based simulation study," Ecological Economics, Elsevier, vol. 170(C).
    2. Aid, Graham & Eklund, Mats & Anderberg, Stefan & Baas, Leenard, 2017. "Expanding roles for the Swedish waste management sector in inter-organizational resource management," Resources, Conservation & Recycling, Elsevier, vol. 124(C), pages 85-97.
    3. Mochen Liao & Kai Lan & Yuan Yao, 2022. "Sustainability implications of artificial intelligence in the chemical industry: A conceptual framework," Journal of Industrial Ecology, Yale University, vol. 26(1), pages 164-182, February.
    4. Alexandra S Penn & Christopher J K Knight & David J B Lloyd & Daniele Avitabile & Kasper Kok & Frank Schiller & Amy Woodward & Angela Druckman & Lauren Basson, 2013. "Participatory Development and Analysis of a Fuzzy Cognitive Map of the Establishment of a Bio-Based Economy in the Humber Region," PLOS ONE, Public Library of Science, vol. 8(11), pages 1-14, November.
    5. Luca Fraccascia & Ilaria Giannoccaro & Vito Albino, 2017. "Efficacy of Landfill Tax and Subsidy Policies for the Emergence of Industrial Symbiosis Networks: An Agent-Based Simulation Study," Sustainability, MDPI, vol. 9(4), pages 1-18, March.
    6. Kasper Lange & Gijsbert Korevaar & Igor Nikolic & Paulien Herder, 2021. "Actor Behaviour and Robustness of Industrial Symbiosis Networks: An Agent-Based Modelling Approach," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 24(3), pages 1-8.
    7. Hua Cui & Changhao Liu & Raymond Côté & Weifeng Liu, 2018. "Understanding the Evolution of Industrial Symbiosis with a System Dynamics Model: A Case Study of Hai Hua Industrial Symbiosis, China," Sustainability, MDPI, vol. 10(11), pages 1-25, October.
    8. Shiva Noori & Gijsbert Korevaar & Andrea Ramirez Ramirez, 2020. "Institutional Lens upon Industrial Symbiosis Dynamics: The case of Persian Gulf Mining and Metal Industries Special Economic Zone," Sustainability, MDPI, vol. 12(15), pages 1-20, July.
    9. Devrim Murat Yazan & Vahid Yazdanpanah & Luca Fraccascia, 2020. "Learning strategic cooperative behavior in industrial symbiosis: A game‐theoretic approach integrated with agent‐based simulation," Business Strategy and the Environment, Wiley Blackwell, vol. 29(5), pages 2078-2091, July.
    10. Kasper P.H. Lange & Gijsbert Korevaar & Inge F. Oskam & Paulien M. Herder, 2017. "Developing and Understanding Design Interventions in Relation to Industrial Symbiosis Dynamics," Sustainability, MDPI, vol. 9(5), pages 1-14, May.
    11. L. Andrew Bollinger & Chris Davis & Igor Nikolić & Gerard P.J. Dijkema, 2012. "Modeling Metal Flow Systems," Journal of Industrial Ecology, Yale University, vol. 16(2), pages 176-190, April.
    12. Knight, Christopher J.K. & Penn, Alexandra S. & Hoyle, Rebecca B., 2014. "Comparing the effects of mutualism and competition on industrial districts," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 416(C), pages 541-557.
    13. Marta Roca‐Puigròs & Andreas Gerber & Markus Ulrich & Matthias Y. Reich & Daniel Beat Müller & Patrick Wäger, 2024. "Linking socio‐economic metabolism models and simulation games: Reflections on benefits and challenges," Journal of Industrial Ecology, Yale University, vol. 28(2), pages 182-193, April.
    14. J. Raimbault & J. Broere & M. Somveille & J. M. Serna & E. Strombom & C. Moore & B. Zhu & L. Sugar, 2020. "A spatial agent based model for simulating and optimizing networked eco-industrial systems," Papers 2003.14133, arXiv.org.
    15. Park, Joo Young, 2014. "Assessing determinants of industrial waste reuse: The case of coal ash in the United States," Resources, Conservation & Recycling, Elsevier, vol. 92(C), pages 116-127.

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