IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v10y2017i8p1137-d106874.html
   My bibliography  Save this article

Development of the IBSAL-SimMOpt Method for the Optimization of Quality in a Corn Stover Supply Chain

Author

Listed:
  • Hernan Chavez

    (Mechanical Engineering Department, The University of Texas at San Antonio, One UTSA Circle, San Antonio, TX 78249, USA)

  • Krystel K. Castillo-Villar

    (Mechanical Engineering Department, The University of Texas at San Antonio, One UTSA Circle, San Antonio, TX 78249, USA)

  • Erin Webb

    (Environmental Sciences Division, Oak Ridge National Laboratory, One Bethel Rd., Oak Ridge, TN 37831, USA)

Abstract

Variability on the physical characteristics of feedstock has a relevant effect on the reactor’s reliability and operating cost. Most of the models developed to optimize biomass supply chains have failed to quantify the effect of biomass quality and preprocessing operations required to meet biomass specifications on overall cost and performance. The Integrated Biomass Supply Analysis and Logistics (IBSAL) model estimates the harvesting, collection, transportation, and storage cost while considering the stochastic behavior of the field-to-biorefinery supply chain. This paper proposes an IBSAL-SimMOpt (Simulation-based Multi-Objective Optimization) method for optimizing the biomass quality and costs associated with the efforts needed to meet conversion technology specifications. The method is developed in two phases. For the first phase, a SimMOpt tool that interacts with the extended IBSAL is developed. For the second phase, the baseline IBSAL model is extended so that the cost for meeting and/or penalization for failing in meeting specifications are considered. The IBSAL-SimMOpt method is designed to optimize quality characteristics of biomass, cost related to activities intended to improve the quality of feedstock, and the penalization cost. A case study based on 1916 farms in Ontario, Canada is considered for testing the proposed method. Analysis of the results demonstrates that this method is able to find a high-quality set of non-dominated solutions.

Suggested Citation

  • Hernan Chavez & Krystel K. Castillo-Villar & Erin Webb, 2017. "Development of the IBSAL-SimMOpt Method for the Optimization of Quality in a Corn Stover Supply Chain," Energies, MDPI, vol. 10(8), pages 1-29, August.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:8:p:1137-:d:106874
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/10/8/1137/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/10/8/1137/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lantian Ren & Kara Cafferty & Mohammad Roni & Jacob Jacobson & Guanghui Xie & Leslie Ovard & Christopher Wright, 2015. "Analyzing and Comparing Biomass Feedstock Supply Systems in China: Corn Stover and Sweet Sorghum Case Studies," Energies, MDPI, vol. 8(6), pages 1-21, June.
    2. De Meyer, Annelies & Cattrysse, Dirk & Rasinmäki, Jussi & Van Orshoven, Jos, 2014. "Methods to optimise the design and management of biomass-for-bioenergy supply chains: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 657-670.
    3. Krystel K. Castillo-Villar & Hertwin Minor-Popocatl & Erin Webb, 2016. "Quantifying the Impact of Feedstock Quality on the Design of Bioenergy Supply Chain Networks," Energies, MDPI, vol. 9(3), pages 1-23, March.
    4. Leistritz, F. Larry & Hodur, Nancy M. & Senechal, Donald M. & Stowers, Mark D. & McCalla, Darold & Saffron, Chris M., 2007. "Biorefineries Using Agricultural Residue Feedstock In The Great Plains," Staff Papers 7323, North Dakota State University, Department of Agribusiness and Applied Economics.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Badakhshan, Ehsan & Ball, Peter, 2023. "A simulation-optimization approach for integrating physical and financial flows in a supply chain under economic uncertainty," Operations Research Perspectives, Elsevier, vol. 10(C).
    2. Islam Hassanin & Matjaz Knez, 2022. "Managing Supply Chain Activities in the Field of Energy Production Focusing on Renewables," Sustainability, MDPI, vol. 14(12), pages 1-33, June.

    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. Espinoza Pérez, Andrea Teresa & Camargo, Mauricio & Narváez Rincón, Paulo César & Alfaro Marchant, Miguel, 2017. "Key challenges and requirements for sustainable and industrialized biorefinery supply chain design and management: A bibliographic analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 350-359.
    2. Efthymios Rodias & Remigio Berruto & Dionysis Bochtis & Patrizia Busato & Alessandro Sopegno, 2017. "A Computational Tool for Comparative Energy Cost Analysis of Multiple-Crop Production Systems," Energies, MDPI, vol. 10(7), pages 1-15, June.
    3. Alessandro Sopegno & Efthymios Rodias & Dionysis Bochtis & Patrizia Busato & Remigio Berruto & Valter Boero & Claus Sørensen, 2016. "Model for Energy Analysis of Miscanthus Production and Transportation," Energies, MDPI, vol. 9(6), pages 1-16, May.
    4. 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.
    5. Lambert, D.M. & Wilcox, M. & English, A. & Stewart, L., 2008. "Ethanol Plant Location Determinants and County Comparative Advantage," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 40(1), pages 117-135, April.
    6. Carland, Corinne & Goentzel, Jarrod & Montibeller, Gilberto, 2018. "Modeling the values of private sector agents in multi-echelon humanitarian supply chains," European Journal of Operational Research, Elsevier, vol. 269(2), pages 532-543.
    7. Cambero, Claudia & Sowlati, Taraneh, 2014. "Assessment and optimization of forest biomass supply chains from economic, social and environmental perspectives – A review of literature," Renewable and Sustainable Energy Reviews, Elsevier, vol. 36(C), pages 62-73.
    8. Emmanuel Garbolino & Warren Daniel & Guillermo Hinojos Mendoza, 2018. "Expected Global Warming Impacts on the Spatial Distribution and Productivity for 2050 of Five Species of Trees Used in the Wood Energy Supply Chain in France," Energies, MDPI, vol. 11(12), pages 1-17, December.
    9. Mirkouei, Amin & Haapala, Karl R. & Sessions, John & Murthy, Ganti S., 2017. "A review and future directions in techno-economic modeling and optimization of upstream forest biomass to bio-oil supply chains," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 15-35.
    10. Gao, Evelyn & Sowlati, Taraneh & Akhtari, Shaghaygh, 2019. "Profit allocation in collaborative bioenergy and biofuel supply chains," Energy, Elsevier, vol. 188(C).
    11. Singlitico, Alessandro & Goggins, Jamie & Monaghan, Rory F.D., 2019. "The role of life cycle assessment in the sustainable transition to a decarbonised gas network through green gas production," Renewable and Sustainable Energy Reviews, Elsevier, vol. 99(C), pages 16-28.
    12. Mensah, Theophilus Nii Odai & Oyewo, Ayobami Solomon & Breyer, Christian, 2021. "The role of biomass in sub-Saharan Africa’s fully renewable power sector – The case of Ghana," Renewable Energy, Elsevier, vol. 173(C), pages 297-317.
    13. Alberto Benato & Alarico Macor, 2019. "Italian Biogas Plants: Trend, Subsidies, Cost, Biogas Composition and Engine Emissions," Energies, MDPI, vol. 12(6), pages 1-31, March.
    14. Yazan, Devrim Murat & Mandras, Giovanni & Garau, Giorgio, 2017. "Environmental and economic sustainability of integrated production in bio-refineries: The thistle case in Sardinia," Renewable Energy, Elsevier, vol. 102(PB), pages 349-360.
    15. Palander, Teijo & Haavikko, Hanna & Kärhä, Kalle, 2018. "Towards sustainable wood procurement in forest industry – The energy efficiency of larger and heavier vehicles in Finland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 100-118.
    16. Hadi Karimi & Sandra D. Ekşioğlu & Michael Carbajales-Dale, 2021. "A biobjective chance constrained optimization model to evaluate the economic and environmental impacts of biopower supply chains," Annals of Operations Research, Springer, vol. 296(1), pages 95-130, January.
    17. Song, Guobao & Song, Jie & Zhang, Shushen, 2016. "Modelling the policies of optimal straw use for maximum mitigation of climate change in China from a system perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 789-810.
    18. Kaiyan Luo & Xingping Zhang & Qinliang Tan, 2018. "A Co-Opetition Straw Supply Strategy Integrating Rural Official Organizations and Farmers’ Behavior in China," Energies, MDPI, vol. 11(10), pages 1-17, October.
    19. Mosayeb Dashtpeyma & Reza Ghodsi, 2021. "Forest Biomass and Bioenergy Supply Chain Resilience: A Systematic Literature Review on the Barriers and Enablers," Sustainability, MDPI, vol. 13(12), pages 1-21, June.
    20. Vitale, Ignacio & Dondo, Rodolfo G. & González, Matías & Cóccola, Mariana E., 2022. "Modelling and optimization of material flows in the wood pellet supply chain," Applied Energy, Elsevier, vol. 313(C).

    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:gam:jeners:v:10:y:2017:i:8:p:1137-:d:106874. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.