IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v167y2022ics1364032122006335.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032122006335
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.rser.2022.112745?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    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).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Leibensperger, Carrie & Yang, Pan & Zhao, Qiankun & Wei, Shuran & Cai, Ximing, 2021. "The synergy between stakeholders for cellulosic biofuel development: Perspectives, opportunities, and barriers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    2. Bhardwaj, Chandan & Axsen, Jonn & Kern, Florian & McCollum, David, 2020. "Why have multiple climate policies for light-duty vehicles? Policy mix rationales, interactions and research gaps," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 309-326.
    3. Mohit Anand & Ruiqing Miao & Madhu Khanna, 2019. "Adopting bioenergy crops: Does farmers’ attitude toward loss matter?," Agricultural Economics, International Association of Agricultural Economists, vol. 50(4), pages 435-450, July.
    4. Noeldeke, Beatrice & Winter, Etti & Ntawuhiganayo, Elisée Bahati, 2022. "Representing human decision-making in agent-based simulation models: Agroforestry adoption in rural Rwanda," Ecological Economics, Elsevier, vol. 200(C).
    5. Deepayan Debnath & Madhu Khanna & Deepak Rajagopal & David Zilberman, 2019. "The Future of Biofuels in an Electrifying Global Transportation Sector: Imperative, Prospects and Challenges," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 41(4), pages 563-582, December.
    6. Nicholas R. Magliocca, 2020. "Agent-Based Modeling for Integrating Human Behavior into the Food–Energy–Water Nexus," Land, MDPI, vol. 9(12), pages 1-25, December.
    7. Julia Wenger & Georg Jäger & Annukka Näyhä & Simon Plakolb & Paul Erich Krassnitzer & Tobias Stern, 2024. "Exploring potential diffusion pathways of biorefinery innovations—An agent‐based simulation approach for facilitating shared value creation," Business Strategy and the Environment, Wiley Blackwell, vol. 33(5), pages 4652-4693, July.
    8. Robert Huber & Hang Xiong & Kevin Keller & Robert Finger, 2022. "Bridging behavioural factors and standard bio‐economic modelling in an agent‐based modelling framework," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(1), pages 35-63, February.
    9. Troost, Christian & Huber, Robert & Bell, Andrew R. & van Delden, Hedwig & Filatova, Tatiana & Le, Quang Bao & Lippe, Melvin & Niamir, Leila & Polhill, J. Gareth & Sun, Zhanli & Berger, Thomas, 2023. "How to keep it adequate: A protocol for ensuring validity in agent-based simulation," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 159, pages 1-21.
    10. Zhang, Long & Bai, Wuliyasu, 2021. "Sustainability of crop–based biodiesel for transportation in China: Barrier analysis and life cycle ecological footprint calculations," Technological Forecasting and Social Change, Elsevier, vol. 164(C).
    11. Nugroho, Yohanes Kristianto & Zhu, Liandong & Heavey, Cathal, 2022. "Building an agent-based techno-economic assessment coupled with life cycle assessment of biomass to methanol supply chains," Applied Energy, Elsevier, vol. 309(C).
    12. Xiaochao Wei & Yanfei Zhang & Qi Liao & Guihua Nie, 2022. "Multi-Agent Simulation of Product Diffusion in Online Social Networks from the Perspective of Overconfidence and Network Effects," Sustainability, MDPI, vol. 14(11), pages 1-18, May.
    13. Weiwei Wang, 2022. "Agricultural and Forestry Biomass for Meeting the Renewable Fuel Standard: Implications for Land Use and GHG Emissions," Energies, MDPI, vol. 15(23), pages 1-21, November.
    14. Martinez-Valencia, Lina & Garcia-Perez, Manuel & Wolcott, Michael P., 2021. "Supply chain configuration of sustainable aviation fuel: Review, challenges, and pathways for including environmental and social benefits," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    15. Efthymios Rodias & Remigio Berruto & Dionysis Bochtis & Alessandro Sopegno & Patrizia Busato, 2019. "Green, Yellow, and Woody Biomass Supply-Chain Management: A Review," Energies, MDPI, vol. 12(15), pages 1-22, August.
    16. Kim, Serena Y., 2020. "Institutional arrangements and airport solar PV," Energy Policy, Elsevier, vol. 143(C).
    17. Shin, Jungwoo & Hwang, Won-Sik, 2017. "Consumer preference and willingness to pay for a renewable fuel standard (RFS) policy: Focusing on ex-ante market analysis and segmentation," Energy Policy, Elsevier, vol. 106(C), pages 32-40.
    18. Zhang, Tianyu & Dong, Peiwu & Zeng, Yongchao & Ju, Yanbing, 2022. "Analyzing the diffusion of competitive smart wearable devices: An agent-based multi-dimensional relative agreement model," Journal of Business Research, Elsevier, vol. 139(C), pages 90-105.
    19. Anxin Xu & Chenwen Wei & Manhua Zheng & Lili Sun & Decong Tang, 2022. "Influence of Perceived Value on Repurchase Intention of Green Agricultural Products: From the Perspective of Multi-Group Analysis," Sustainability, MDPI, vol. 14(22), pages 1-17, November.
    20. Ba, Birome Holo & Prins, Christian & Prodhon, Caroline, 2016. "Models for optimization and performance evaluation of biomass supply chains: An Operations Research perspective," Renewable Energy, Elsevier, vol. 87(P2), pages 977-989.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:rensus:v:167:y:2022:i:c:s1364032122006335. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.