IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v216y2018icp116-131.html
   My bibliography  Save this article

Integrated framework for designing spatially explicit biofuel supply chains

Author

Listed:
  • Ng, Rex T.L.
  • Kurniawan, Daniel
  • Wang, Hua
  • Mariska, Brian
  • Wu, Wenzhao
  • Maravelias, Christos T.

Abstract

We present a framework that allows us to utilize high-resolution spatial data to design biomass-to-fuel supply chains. Specifically, we first present how to extract crop data from the Agricultural Model Intercomparison and Improvement Project packages, and then develop a method to combine these data with a historical cropland data layer, to generate spatial data with user-specified resolution. Next, we develop a general approach to determine the potential depot and biorefinery locations, and calculate the actual flow path distance between facilities using Geographic Information Systems methods. Since spatially explicit data lead to large-scale supply chain networks, we develop preprocessing algorithms that allow us to remove arcs that will never be used in an optimal solution, thereby reducing the size of the network under consideration. We then present a multi-period mixed-integer linear programming model that accounts for the selection of depot and biorefinery locations and their capacities, shipping and inventory planning, as well as the selection of pretreatment and conversion technologies, and transportation modes. Finally, we demonstrate the application of our framework using a case study of corn stover-to-ethanol supply chain in Wisconsin.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:appene:v:216:y:2018:i:c:p:116-131
    DOI: 10.1016/j.apenergy.2018.02.077
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261918302022
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2018.02.077?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. Sharma, B. & Ingalls, R.G. & Jones, C.L. & Khanchi, A., 2013. "Biomass supply chain design and analysis: Basis, overview, modeling, challenges, and future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 608-627.
    2. Sharma, B. & Birrell, S. & Miguez, F.E., 2017. "Spatial modeling framework for bioethanol plant siting and biofuel production potential in the U.S," Applied Energy, Elsevier, vol. 191(C), pages 75-86.
    3. 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.
    4. Mobini, Mahdi & Sowlati, Taraneh & Sokhansanj, Shahab, 2011. "Forest biomass supply logistics for a power plant using the discrete-event simulation approach," Applied Energy, Elsevier, vol. 88(4), pages 1241-1250, April.
    5. Cui, Yunfei & Geng, Zhiqiang & Zhu, Qunxiong & Han, Yongming, 2017. "Review: Multi-objective optimization methods and application in energy saving," Energy, Elsevier, vol. 125(C), pages 681-704.
    6. Gonzales, Daniela & Searcy, Erin M. & Ekşioğlu, Sandra D., 2013. "Cost analysis for high-volume and long-haul transportation of densified biomass feedstock," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 48-61.
    7. Zhong, Jia & Yu, T. Edward & Larson, James A. & English, Burton C. & Fu, Joshua S. & Calcagno, James, 2016. "Analysis of environmental and economic tradeoffs in switchgrass supply chains for biofuel production," Energy, Elsevier, vol. 107(C), pages 791-803.
    8. Lam, Hon Loong & Klemeš, Jiří Jaromír & Kravanja, Zdravko, 2011. "Model-size reduction techniques for large-scale biomass production and supply networks," Energy, Elsevier, vol. 36(8), pages 4599-4608.
    9. de Jong, Sierk & Hoefnagels, Ric & Wetterlund, Elisabeth & Pettersson, Karin & Faaij, André & Junginger, Martin, 2017. "Cost optimization of biofuel production – The impact of scale, integration, transport and supply chain configurations," Applied Energy, Elsevier, vol. 195(C), pages 1055-1070.
    10. Awudu, Iddrisu & Zhang, Jun, 2013. "Stochastic production planning for a biofuel supply chain under demand and price uncertainties," Applied Energy, Elsevier, vol. 103(C), pages 189-196.
    11. Windisch, Johannes & Väätäinen, Kari & Anttila, Perttu & Nivala, Mikko & Laitila, Juha & Asikainen, Antti & Sikanen, Lauri, 2015. "Discrete-event simulation of an information-based raw material allocation process for increasing the efficiency of an energy wood supply chain," Applied Energy, Elsevier, vol. 149(C), pages 315-325.
    12. Hu, Hao & Lin, Tao & Wang, Shaowen & Rodriguez, Luis F., 2017. "A cyberGIS approach to uncertainty and sensitivity analysis in biomass supply chain optimization," Applied Energy, Elsevier, vol. 203(C), pages 26-40.
    13. Zhang, Fengli & Johnson, Dana M. & Johnson, Mark A., 2012. "Development of a simulation model of biomass supply chain for biofuel production," Renewable Energy, Elsevier, vol. 44(C), pages 380-391.
    14. Ng, Rex T.L. & Maravelias, Christos T., 2017. "Design of biofuel supply chains with variable regional depot and biorefinery locations," Renewable Energy, Elsevier, vol. 100(C), pages 90-102.
    15. Mohammad S. Roni & Sandra D. Eksioglu & Kara G. Cafferty & Jacob J. Jacobson, 2017. "A multi-objective, hub-and-spoke model to design and manage biofuel supply chains," Annals of Operations Research, Springer, vol. 249(1), pages 351-380, February.
    16. Quddus, Md Abdul & Chowdhury, Sudipta & Marufuzzaman, Mohammad & Yu, Fei & Bian, Linkan, 2018. "A two-stage chance-constrained stochastic programming model for a bio-fuel supply chain network," International Journal of Production Economics, Elsevier, vol. 195(C), pages 27-44.
    17. Ng, Rex T.L. & Maravelias, Christos T., 2017. "Economic and energetic analysis of biofuel supply chains," Applied Energy, Elsevier, vol. 205(C), pages 1571-1582.
    18. Zhang, Fengli & Johnson, Dana & Johnson, Mark & Watkins, David & Froese, Robert & Wang, Jinjiang, 2016. "Decision support system integrating GIS with simulation and optimisation for a biofuel supply chain," Renewable Energy, Elsevier, vol. 85(C), pages 740-748.
    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. Hosseini-Motlagh, Seyyed-Mahdi & Samani, Mohammad Reza Ghatreh & Shahbazbegian, Vahid, 2020. "Innovative strategy to design a mixed resilient-sustainable electricity supply chain network under uncertainty," Applied Energy, Elsevier, vol. 280(C).
    2. Ng, Rex T.L. & Fasahati, Peyman & Huang, Kefeng & Maravelias, Christos T., 2019. "Utilizing stillage in the biorefinery: Economic, technological and energetic analysis," Applied Energy, Elsevier, vol. 241(C), pages 491-503.
    3. Jayarathna, Lasinidu & Kent, Geoff & O’Hara, Ian & Hobson, Philip, 2022. "Geographical information system based fuzzy multi criteria analysis for sustainability assessment of biomass energy plant siting: A case study in Queensland, Australia," Land Use Policy, Elsevier, vol. 114(C).
    4. Gital Durmaz, Yeşim & Bilgen, Bilge, 2020. "Multi-objective optimization of sustainable biomass supply chain network design," Applied Energy, Elsevier, vol. 272(C).
    5. Chakraborty, Abhishek & Biswal, Anima & Pandey, Varun & Shadab, Syed & Kalyandeep, K. & Murthy, C.S. & Seshasai, M.V.R. & Rao, P.V.N. & Jain, Niveta & Sehgal, V.K. & Kaushik, Nirmala & Singh, Sanjay &, 2022. "Developing a spatial information system of biomass potential from crop residues over India: A decision support for planning and establishment of biofuel/biomass power plant," Renewable and Sustainable Energy Reviews, Elsevier, vol. 165(C).
    6. Mohd Idris, Muhammad Nurariffudin & Hashim, Haslenda & Leduc, Sylvain & Yowargana, Ping & Kraxner, Florian & Woon, Kok Sin, 2021. "Deploying bioenergy for decarbonizing Malaysian energy sectors and alleviating renewable energy poverty," Energy, Elsevier, vol. 232(C).
    7. Kesharwani, Rajkamal & Sun, Zeyi & Dagli, Cihan & Xiong, Haoyi, 2019. "Moving second generation biofuel manufacturing forward: Investigating economic viability and environmental sustainability considering two strategies for supply chain restructuring," Applied Energy, Elsevier, vol. 242(C), pages 1467-1496.
    8. Li, Yu & Kesharwani, Rajkamal & Sun, Zeyi & Qin, Ruwen & Dagli, Cihan & Zhang, Meng & Wang, Donghai, 2020. "Economic viability and environmental impact investigation for the biofuel supply chain using co-fermentation technology," Applied Energy, Elsevier, vol. 259(C).
    9. Shahbazbegian, Vahid & Hosseini-Motlagh, Seyyed-Mahdi & Haeri, Abdorrahman, 2020. "Integrated forward/reverse logistics thin-film photovoltaic power plant supply chain network design with uncertain data," Applied Energy, Elsevier, vol. 277(C).
    10. Senocak, Ahmet Alp & Guner Goren, Hacer, 2023. "Three-phase artificial intelligence-geographic information systems-based biomass network design approach: A case study in Denizli," Applied Energy, Elsevier, vol. 343(C).
    11. Roni, Mohammad S. & Thompson, David N. & Hartley, Damon S., 2019. "Distributed biomass supply chain cost optimization to evaluate multiple feedstocks for a biorefinery," Applied Energy, Elsevier, vol. 254(C).
    12. Furtado Júnior, Juarez Corrêa & Palacio, José Carlos Escobar & Leme, Rafael Coradi & Lora, Electo Eduardo Silva & da Costa, José Eduardo Loureiro & Reyes, Arnaldo Martín Martínez & del Olmo, Oscar Alm, 2020. "Biorefineries productive alternatives optimization in the brazilian sugar and alcohol industry," Applied Energy, Elsevier, vol. 259(C).
    13. Yunusoglu, Pinar & Ozsoydan, Fehmi Burcin & Bilgen, Bilge, 2024. "A machine learning-based two-stage approach for the location of undesirable facilities in the biomass-to-bioenergy supply chain," Applied Energy, Elsevier, vol. 362(C).
    14. 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).
    15. Jayarathna, Lasinidu & Kent, Geoff & O'Hara, Ian & Hobson, Philip, 2020. "A Geographical Information System based framework to identify optimal location and size of biomass energy plants using single or multiple biomass types," Applied Energy, Elsevier, vol. 275(C).
    16. Potrč, Sanja & Čuček, Lidija & Martin, Mariano & Kravanja, Zdravko, 2021. "Sustainable renewable energy supply networks optimization – The gradual transition to a renewable energy system within the European Union by 2050," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).

    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. He-Lambert, Lixia & English, Burton C. & Lambert, Dayton M. & Shylo, Oleg & Larson, James A. & Yu, T. Edward & Wilson, Bradly, 2018. "Determining a geographic high resolution supply chain network for a large scale biofuel industry," Applied Energy, Elsevier, vol. 218(C), pages 266-281.
    2. Ng, Rex T.L. & Maravelias, Christos T., 2017. "Economic and energetic analysis of biofuel supply chains," Applied Energy, Elsevier, vol. 205(C), pages 1571-1582.
    3. 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.
    4. Rendon-Sagardi, Miguel A. & Sanchez-Ramirez, Cuauhtemoc & Cortes-Robles, Guillermo & Alor-Hernandez, Giner & Cedillo-Campos, Miguel G., 2014. "Dynamic analysis of feasibility in ethanol supply chain for biofuel production in Mexico," Applied Energy, Elsevier, vol. 123(C), pages 358-367.
    5. Akhtari, Shaghaygh & Sowlati, Taraneh, 2020. "Hybrid optimization-simulation for integrated planning of bioenergy and biofuel supply chains," Applied Energy, Elsevier, vol. 259(C).
    6. Santos, Andreia & Carvalho, Ana & Barbosa-Póvoa, Ana Paula & Marques, Alexandra & Amorim, Pedro, 2019. "Assessment and optimization of sustainable forest wood supply chains – A systematic literature review," Forest Policy and Economics, Elsevier, vol. 105(C), pages 112-135.
    7. 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).
    8. Mirkouei, Amin & Haapala, Karl R. & Sessions, John & Murthy, Ganti S., 2017. "A mixed biomass-based energy supply chain for enhancing economic and environmental sustainability benefits: A multi-criteria decision making framework," Applied Energy, Elsevier, vol. 206(C), pages 1088-1101.
    9. Aalto, Mika & KC, Raghu & Korpinen, Olli-Jussi & Karttunen, Kalle & Ranta, Tapio, 2019. "Modeling of biomass supply system by combining computational methods – A review article," Applied Energy, Elsevier, vol. 243(C), pages 145-154.
    10. Eriksson, Anders & Eliasson, Lars & Sikanen, Lauri & Hansson, Per-Anders & Jirjis, Raida, 2017. "Evaluation of delivery strategies for forest fuels applying a model for Weather-driven Analysis of Forest Fuel Systems (WAFFS)," Applied Energy, Elsevier, vol. 188(C), pages 420-430.
    11. 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.
    12. Ghadge, Abhijeet & van der Werf, Sjoerd & Er Kara, Merve & Goswami, Mohit & Kumar, Pankaj & Bourlakis, Michael, 2020. "Modelling the impact of climate change risk on bioethanol supply chains," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    13. Maryam Roudneshin & Amanda Sosa, 2024. "Optimising Agricultural Waste Supply Chains for Sustainable Bioenergy Production: A Comprehensive Literature Review," Energies, MDPI, vol. 17(11), pages 1-24, May.
    14. Poudel, Sushil Raj & Marufuzzaman, Mohammad & Bian, Linkan, 2016. "A hybrid decomposition algorithm for designing a multi-modal transportation network under biomass supply uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 94(C), pages 1-25.
    15. Arabi, Mahsa & Yaghoubi, Saeed & Tajik, Javad, 2019. "A mathematical model for microalgae-based biobutanol supply chain network design under harvesting and drying uncertainties," Energy, Elsevier, vol. 179(C), pages 1004-1016.
    16. Zetterholm, Jonas & Pettersson, Karin & Leduc, Sylvain & Mesfun, Sennai & Lundgren, Joakim & Wetterlund, Elisabeth, 2018. "Resource efficiency or economy of scale: Biorefinery supply chain configurations for co-gasification of black liquor and pyrolysis liquids," Applied Energy, Elsevier, vol. 230(C), pages 912-924.
    17. Mafakheri, Fereshteh & Nasiri, Fuzhan, 2014. "Modeling of biomass-to-energy supply chain operations: Applications, challenges and research directions," Energy Policy, Elsevier, vol. 67(C), pages 116-126.
    18. 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.
    19. Azadeh, Ali & Vafa Arani, Hamed, 2016. "Biodiesel supply chain optimization via a hybrid system dynamics-mathematical programming approach," Renewable Energy, Elsevier, vol. 93(C), pages 383-403.
    20. 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.

    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:appene:v:216:y:2018:i:c:p:116-131. 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/405891/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.