IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v115y2019ics1364032119306112.html
   My bibliography  Save this article

Multi-objective optimization for sustainable renewable jet fuel production: A case study of corn stover based supply chain system in Midwestern U.S

Author

Listed:
  • Huang, Endai
  • Zhang, Xiaolei
  • Rodriguez, Luis
  • Khanna, Madhu
  • de Jong, Sierk
  • Ting, K.C.
  • Ying, Yibin
  • Lin, Tao

Abstract

Sustainable development of biomass-based renewable jet fuel (RJF) production mitigates the environmental stress and improves rural economics. We develop a mixed-integer linear programming model to incorporate spatial, agricultural, techno-economical, and environmental data for multi-objective optimization of RJF supply chain systems. The model is applied to the Midwestern U.S. to evaluate the sustainability performance of three pathways including alcohol-to-jet (ATJ), Fischer-Tropsch (FT) and Hydrothermal liquefaction (HTL). The results show that HTL is the most cost-effective with a cost of $4.64/gal while FT is most environmental-friendly with the greenhouse gas (GHG) emissions of 0.10 kg CO2/gal. The cost-optimal analysis suggests a centralized supply chain configuration with large facilities, while the environmental optimization analysis prefers a distributed system with small biorefinery facilities. For FT approach, cost optimization analysis suggests developing a supply chain with one large biorefinery, whereas environmental optimization prefers a system with 11 small biorefineries. Considering the economic and environmental factors simultaneously, the Pareto curve demonstrates that total production costs of three pathways all increase with the more stringent constraints of GHG emissions. This indicates that RJF production costs are sensitive to the regulation of GHG emissions. Considering the carbon price at $0.22 per kg of CO2 reduction, FT yields the lowest cost of $2.83/gal among three pathways, but it is still 47% higher than that of fossil jet fuel. FT is not cost competitive with fossil jet fuel until the carbon price increases to $0.30 per kg of CO2 reduction. FT is suggested a promising sustainable RJF production pathway due to its relatively low capital investment and production costs, centralized supply chain configuration, and low GHG emissions.

Suggested Citation

  • Huang, Endai & Zhang, Xiaolei & Rodriguez, Luis & Khanna, Madhu & de Jong, Sierk & Ting, K.C. & Ying, Yibin & Lin, Tao, 2019. "Multi-objective optimization for sustainable renewable jet fuel production: A case study of corn stover based supply chain system in Midwestern U.S," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
    • Handle: RePEc:eee:rensus:v:115:y:2019:i:c:s1364032119306112
    DOI: 10.1016/j.rser.2019.109403
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032119306112
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.rser.2019.109403?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. Gutiérrez-Antonio, C. & Gómez-Castro, F.I. & de Lira-Flores, J.A. & Hernández, S., 2017. "A review on the production processes of renewable jet fuel," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 709-729.
    2. Nugroho, Yohanes Kristianto & Zhu, Liandong, 2019. "Platforms planning and process optimization for biofuels supply chain," Renewable Energy, Elsevier, vol. 140(C), pages 563-579.
    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. Malladi, Krishna Teja & Sowlati, Taraneh, 2018. "Biomass logistics: A review of important features, optimization modeling and the new trends," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 587-599.
    5. Reimer, Jeffrey J. & Zheng, Xiaojuan, 2017. "Economic analysis of an aviation bioenergy supply chain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 945-954.
    6. Yang, Y. & Brammer, J.G. & Wright, D.G. & Scott, J.A. & Serrano, C. & Bridgwater, A.V., 2017. "Combined heat and power from the intermediate pyrolysis of biomass materials: performance, economics and environmental impact," Applied Energy, Elsevier, vol. 191(C), pages 639-652.
    7. Bwapwa, Joseph K. & Anandraj, Akash & Trois, Cristina, 2017. "Possibilities for conversion of microalgae oil into aviation fuel: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1345-1354.
    8. Wang, Wei-Cheng, 2016. "Techno-economic analysis of a bio-refinery process for producing Hydro-processed Renewable Jet fuel from Jatropha," Renewable Energy, Elsevier, vol. 95(C), pages 63-73.
    9. Frances C. Moore & Delavane B. Diaz, 2015. "Temperature impacts on economic growth warrant stringent mitigation policy," Nature Climate Change, Nature, vol. 5(2), pages 127-131, February.
    10. Krystel K. Castillo-Villar, 2014. "Metaheuristic Algorithms Applied to Bioenergy Supply Chain Problems: Theory, Review, Challenges, and Future," Energies, MDPI, vol. 7(11), pages 1-33, November.
    11. Leila, Mohamed & Whalen, Joann & Bergthorson, Jeffrey, 2018. "Strategic spatial and temporal design of renewable diesel and biojet fuel supply chains: Case study of California, USA," Energy, Elsevier, vol. 156(C), pages 181-195.
    12. Scaldaferri, C.A. & Pasa, V.M.D., 2019. "Green diesel production from upgrading of cashew nut shell liquid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 111(C), pages 303-313.
    13. 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.
    14. Frances C. Moore & Delavane B. Diaz, 2015. "Erratum: Temperature impacts on economic growth warrant stringent mitigation policy," Nature Climate Change, Nature, vol. 5(3), pages 280-280, March.
    15. 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).
    16. 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.
    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. Lo, Shirleen Lee Yuen & How, Bing Shen & Teng, Sin Yong & Lam, Hon Loong & Lim, Chun Hsion & Rhamdhani, Muhammad Akbar & Sunarso, Jaka, 2021. "Stochastic techno-economic evaluation model for biomass supply chain: A biomass gasification case study with supply chain uncertainties," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    2. Salehi-Amiri, Amirhossein & Zahedi, Ali & Akbapour, Navid & Hajiaghaei-Keshteli, Mostafa, 2021. "Designing a sustainable closed-loop supply chain network for walnut industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    3. Li, Jiangong & Akdeniz, Neslihan & Kim, Harrison Hyung Min & Gates, Richard S. & Wang, Xinlei & Wang, Kaiying, 2021. "Quantification of sustainable animal manure utilization strategies in Hangzhou, China," Agricultural Systems, Elsevier, vol. 191(C).
    4. Lo, Shirleen Lee Yuen & How, Bing Shen & Leong, Wei Dong & Teng, Sin Yong & Rhamdhani, Muhammad Akbar & Sunarso, Jaka, 2021. "Techno-economic analysis for biomass supply chain: A state-of-the-art review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    5. Karbassi, Veis & Trotter, Philipp A. & Walther, Grit, 2023. "Diversifying the African energy system: Economic versus equitable allocation of renewable electricity and e-fuel production," Applied Energy, Elsevier, vol. 350(C).
    6. Youngjin Kim & Yeongjae On & Junyong So & Sumin Kim & Sojung Kim, 2023. "A Decision Support Software Application for the Design of Agrophotovoltaic Systems in Republic of Korea," Sustainability, MDPI, vol. 15(11), pages 1-17, May.
    7. Wang, Yihan & Wen, Zongguo & Yao, Jianguo & Doh Dinga, Christian, 2020. "Multi-objective optimization of synergic energy conservation and CO2 emission reduction in China's iron and steel industry under uncertainty," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    8. Ding, Zhixiong & Wu, Wei & Leung, Michael, 2021. "Advanced/hybrid thermal energy storage technology: material, cycle, system and perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    9. Ebrahimi, Sajad & Haji Esmaeili, Seyed Ali & Sobhani, Ahmad & Szmerekovsky, Joseph, 2022. "Renewable jet fuel supply chain network design: Application of direct monetary incentives," Applied Energy, Elsevier, vol. 310(C).
    10. Wu, Le & Yang, Yong & Yan, Ting & Wang, Yuqi & Zheng, Lan & Qian, Kun & Hong, Furong, 2020. "Sustainable design and optimization of co-processing of bio-oil and vacuum gas oil in an existing refinery," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(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. 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.
    2. Nguyen, Trung H. & Granger, Julien & Pandya, Deval & Paustian, Keith, 2019. "High-resolution multi-objective optimization of feedstock landscape design for hybrid first and second generation biorefineries," Applied Energy, Elsevier, vol. 238(C), pages 1484-1496.
    3. Alherbawi, Mohammad & McKay, Gordon & Mackey, Hamish R. & Al-Ansari, Tareq, 2021. "Jatropha curcas for jet biofuel production: Current status and future prospects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    4. 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).
    5. 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.
    6. Tiruwork B. Tibebu & Eric Hittinger & Qing Miao & Eric Williams, 2024. "Adoption Model Choice Affects the Optimal Subsidy for Residential Solar," Energies, MDPI, vol. 17(3), pages 1-19, February.
    7. Hongbo Duan & Gupeng Zhang & Shouyang Wang & Ying Fan, 2018. "Balancing China’s climate damage risk against emission control costs," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 23(3), pages 387-403, March.
    8. Luca Gerotto & Paolo Pellizzari, 2021. "A replication of Pindyck’s willingness to pay: on the efforts required to obtain results," SN Business & Economics, Springer, vol. 1(5), pages 1-25, May.
    9. Fremstad, Anders & Paul, Mark, 2022. "Neoliberalism and climate change: How the free-market myth has prevented climate action," Ecological Economics, Elsevier, vol. 197(C).
    10. Rongrong Xu & Yongxiang Wu & Ming Chen & Xuan Zhang & Wei Wu & Long Tan & Gaoxu Wang & Yi Xu & Bing Yan & Yuedong Xia, 2019. "Calculation of the contribution rate of China’s hydraulic science and technology based on a feedforward neural network," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-22, September.
    11. Kalkuhl, Matthias & Wenz, Leonie, 2020. "The impact of climate conditions on economic production. Evidence from a global panel of regions," Journal of Environmental Economics and Management, Elsevier, vol. 103(C).
    12. Tobias Kranz & Hamza Bennani & Matthias Neuenkirch, 2024. "Monetary Policy and Climate Change: Challenges and the Role of Major Central Banks," Research Papers in Economics 2024-01, University of Trier, Department of Economics.
    13. Franziska Piontek & Matthias Kalkuhl & Elmar Kriegler & Anselm Schultes & Marian Leimbach & Ottmar Edenhofer & Nico Bauer, 2019. "Economic Growth Effects of Alternative Climate Change Impact Channels in Economic Modeling," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(4), pages 1357-1385, August.
    14. Gregory Casey & Stephie Fried & Ethan Goode, 2023. "Projecting the Impact of Rising Temperatures: The Role of Macroeconomic Dynamics," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 71(3), pages 688-718, September.
    15. Alfredo R.M. Rosete & Hendrik Van den Berg, 2019. "Macroeconomic Policy in an Environmentally-Constrained Economy: A Dialectical Materialist Application of the Harrod Growth Model," Review of Radical Political Economics, Union for Radical Political Economics, vol. 51(4), pages 544-552, December.
    16. Baarsch, Florent & Granadillos, Jessie R. & Hare, William & Knaus, Maria & Krapp, Mario & Schaeffer, Michiel & Lotze-Campen, Hermann, 2020. "The impact of climate change on incomes and convergence in Africa," World Development, Elsevier, vol. 126(C).
    17. Adam Michael Bauer & Cristian Proistosescu & Gernot Wagner, 2023. "Carbon Dioxide as a Risky Asset," CESifo Working Paper Series 10278, CESifo.
    18. Sean B. Walker & Keith W. Hipel, 2017. "Strategy, Complexity and Cooperation: The Sino-American Climate Regime," Group Decision and Negotiation, Springer, vol. 26(5), pages 997-1027, September.
    19. 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.
    20. Wu, Bingqing & Sarker, Bhaba R. & Paudel, Krishna P., 2015. "Sustainable energy from biomass: Biomethane manufacturing plant location and distribution problem," Applied Energy, Elsevier, vol. 158(C), pages 597-608.

    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:115:y:2019:i:c:s1364032119306112. 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.