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An agent-based modeling tool supporting bioenergy and bio-product community communication regarding cellulosic bioeconomy development

Author

Listed:
  • Yang, Pan
  • Cai, Ximing
  • Hu, Xinchen
  • Zhao, Qiankun
  • Lee, Yuanyao
  • Khanna, Madhu
  • Cortés-Peña, Yoel R.
  • Guest, Jeremy S.
  • Kent, Jeffrey
  • Hudiburg, Tara W.
  • Du, Erhu
  • John, Steve
  • Iutzi, Fred

Abstract

The emergence of the cellulosic bioeconomy requires not only adequate technological, economic, and policy advances, but also effective communication and coordination among the multiple stakeholders in the bioeconomy community. Aiming to facilitate stakeholder communication and collaboration for cellulosic bioeconomy growth, an agent-based model is developed as a community communication tool in this study. The tool simulates the behaviors and interactions of key stakeholders, as well as the responses and interactions between the stakeholders and biophysical, socioeconomic, and environmental conditions. The agent behavior rules are developed and validated based on behavior and economic theories and information attained from a stakeholder focus group study and a land use survey. A pilot study in a Central Illinois watershed shows stakeholder synergies, i.e., positive feedback loops across multiple stakeholders. The modeling tool's role in facilitating community communication is demonstrated via the focus group study. A comparison of policy scenarios suggests that the cellulosic bioeconomy development is fastest under a portfolio of policies combining the views of the multiple stakeholders. Critically, subsidy for small-scale bio-facilities is essential as it rapidly initializes an early market for cellulosic feedstocks and the adoption of Miscanthus. The communication tool is applied to bringing stakeholders and researchers together to develop shared visions, assess barriers, and explore solution portfolios to initialize and speed up the regional cellulosic bioeconomy.

Suggested Citation

  • Yang, Pan & Cai, Ximing & Hu, Xinchen & Zhao, Qiankun & Lee, Yuanyao & Khanna, Madhu & Cortés-Peña, Yoel R. & Guest, Jeremy S. & Kent, Jeffrey & Hudiburg, Tara W. & Du, Erhu & John, Steve & Iutzi, Fre, 2022. "An agent-based modeling tool supporting bioenergy and bio-product community communication regarding cellulosic bioeconomy development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    • Handle: RePEc:eee:rensus:v:167:y:2022:i:c:s1364032122006335
    DOI: 10.1016/j.rser.2022.112745
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    as
    1. Awudu, Iddrisu & Zhang, Jun, 2012. "Uncertainties and sustainability concepts in biofuel supply chain management: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(2), pages 1359-1368.
    2. Walzberg, Julien & Dandres, Thomas & Merveille, Nicolas & Cheriet, Mohamed & Samson, Réjean, 2019. "Assessing behavioural change with agent-based life cycle assessment: Application to smart homes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 111(C), pages 365-376.
    3. Sathre, Roger & Gustavsson, Leif, 2021. "A lifecycle comparison of natural resource use and climate impact of biofuel and electric cars," Energy, Elsevier, vol. 237(C).
    4. Luanne Lohr, 1998. "Implications of Organic Certification for Market Structure and Trade," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(5), pages 1125-1129.
    5. Stummer, Christian & Kiesling, Elmar & Günther, Markus & Vetschera, Rudolf, 2015. "Innovation diffusion of repeat purchase products in a competitive market: An agent-based simulation approach," European Journal of Operational Research, Elsevier, vol. 245(1), pages 157-167.
    6. van der Loos, Adriaan & Normann, Håkon E. & Hanson, Jens & Hekkert, Marko P., 2021. "The co-evolution of innovation systems and context: Offshore wind in Norway and the Netherlands," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    7. Bichraoui-Draper, Najet & Xu, Ming & Miller, Shelie A. & Guillaume, Bertrand, 2015. "Agent-based life cycle assessment for switchgrass-based bioenergy systems," Resources, Conservation & Recycling, Elsevier, vol. 103(C), pages 171-178.
    8. Burli, Pralhad H. & Nguyen, Ruby T. & Hartley, Damon S. & Griffel, L. Michael & Vazhnik, Veronika & Lin, Yingqian, 2021. "Farmer characteristics and decision-making: A model for bioenergy crop adoption," Energy, Elsevier, vol. 234(C).
    9. Mössinger, Johannes & Troost, Christian & Berger, Thomas, 2022. "Bridging the gap between models and users: A lightweight mobile interface for optimized farming decisions in interactive modeling sessions," Agricultural Systems, Elsevier, vol. 195(C).
    10. Ruiqing Miao & Madhu Khanna, 2017. "Effectiveness of the Biomass Crop Assistance Program: Roles of Behavioral Factors, Credit Constraint, and Program Design," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 39(4), pages 584-608.
    11. Chen, Xiaoguang & Huang, Haixiao & Khanna, Madhu & Önal, Hayri, 2014. "Alternative transportation fuel standards: Welfare effects and climate benefits," Journal of Environmental Economics and Management, Elsevier, vol. 67(3), pages 241-257.
    12. Berger, Thomas, 2001. "Agent-based spatial models applied to agriculture: a simulation tool for technology diffusion, resource use changes and policy analysis," Agricultural Economics, Blackwell, vol. 25(2-3), pages 245-260, September.
    13. John L. Field & Samuel G. Evans & Ernie Marx & Mark Easter & Paul R. Adler & Thai Dinh & Bryan Willson & Keith Paustian, 2018. "High-resolution techno–ecological modelling of a bioenergy landscape to identify climate mitigation opportunities in cellulosic ethanol production," Nature Energy, Nature, vol. 3(3), pages 211-219, March.
    14. Ng, Rex T.L. & Kurniawan, Daniel & Wang, Hua & Mariska, Brian & Wu, Wenzhao & Maravelias, Christos T., 2018. "Integrated framework for designing spatially explicit biofuel supply chains," Applied Energy, Elsevier, vol. 216(C), pages 116-131.
    15. Moncada, J.A. & Lukszo, Z. & Junginger, M. & Faaij, A. & Weijnen, M., 2017. "A conceptual framework for the analysis of the effect of institutions on biofuel supply chains," Applied Energy, Elsevier, vol. 185(P1), pages 895-915.
    16. Joon Han & Yun-Sik Oh & Gi-Hyeon Gwon & Doo-Ung Kim & Chul-Ho Noh & Tack-Hyun Jung & Soon-Jeong Lee & Chul-Hwan Kim, 2015. "Modeling and Analysis of a Low-Voltage DC Distribution System," Resources, MDPI, vol. 4(3), pages 1-23, September.
    17. Raud, M. & Kikas, T. & Sippula, O. & Shurpali, N.J., 2019. "Potentials and challenges in lignocellulosic biofuel production technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 111(C), pages 44-56.
    18. Noel Melton & Jonn Axsen & Daniel Sperling, 2016. "Moving beyond alternative fuel hype to decarbonize transportation," Nature Energy, Nature, vol. 1(3), pages 1-10, March.
    19. Jule Thober & Birgit Müller & Jürgen Groeneveld & Volker Grimm, 2017. "Agent-Based Modelling of Social-Ecological Systems: Achievements, Challenges, and a Way Forward," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(2), pages 1-8.
    20. Zhao, Qiankun & Cai, Ximing & Mischo, William & Ma, Liyuan, 2020. "How do the research and public communities view biofuel development?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    21. Alizadeh, Reza & Lund, Peter D. & Soltanisehat, Leili, 2020. "Outlook on biofuels in future studies: A systematic literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
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