IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v103y2016icp151-166.html
   My bibliography  Save this article

Life cycle energy and CO2 emission optimization for biofuel supply chain planning under uncertainties

Author

Listed:
  • Ren, Jingzheng
  • An, Da
  • Liang, Hanwei
  • Dong, Liang
  • Gao, Zhiqiu
  • Geng, Yong
  • Zhu, Qinghua
  • Song, Shaoxian
  • Zhao, Wenhui

Abstract

The purpose of this paper is to develop a model for the decision-makers/stakeholders to design biofuel supply chain under uncertainties. Life cycle energy and CO2 emission of biofuel supply chain are employed as the objective functions, multiple feedstocks, multiple transportation modes, multiple sites for building biofuel plants, multiple technologies for biofuel production, and multiple markets for biofuel distribution are considered, and the amount of feedstocks in agricultural system, transportation capacities, yields of crops, and market demands are considered as uncertainty variables in this study. A bi-objective interval mix integer programming model has been developed for biofuel supply chain design under uncertainties, and the bio-objective interval programming method has been developed to solve this model. An illustrative case of a multiple-feedstock-bioethanol system has been studied by the proposed method, and the results show that the proposed model can help decision-makers/stakeholders plan and design the biofuel supply chain by proposing feasible solutions to them.

Suggested Citation

  • Ren, Jingzheng & An, Da & Liang, Hanwei & Dong, Liang & Gao, Zhiqiu & Geng, Yong & Zhu, Qinghua & Song, Shaoxian & Zhao, Wenhui, 2016. "Life cycle energy and CO2 emission optimization for biofuel supply chain planning under uncertainties," Energy, Elsevier, vol. 103(C), pages 151-166.
    • Handle: RePEc:eee:energy:v:103:y:2016:i:c:p:151-166
    DOI: 10.1016/j.energy.2016.02.151
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544216302134
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2016.02.151?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.

    Citations

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


    Cited by:

    1. Li, Zhengbing & Liang, Yongtu & Ni, Weilong & Liao, Qi & Xu, Ning & Li, Lichao & Zheng, Jianqin & Zhang, Haoran, 2022. "Pipesharing: economic-environmental benefits from transporting biofuels through multiproduct pipelines," Applied Energy, Elsevier, vol. 311(C).
    2. Seyed Ali Haji Esmaeili & Ahmad Sobhani & Sajad Ebrahimi & Joseph Szmerekovsky & Alan Dybing & Amin Keramati, 2023. "Location Allocation of Biorefineries for a Switchgrass-Based Bioethanol Supply Chain Using Energy Consumption and Emissions," Logistics, MDPI, vol. 7(1), pages 1-22, January.
    3. Abomohra, Abd El-Fatah & Jin, Wenbiao & Tu, Renjie & Han, Song-Fang & Eid, Mohammed & Eladel, Hamed, 2016. "Microalgal biomass production as a sustainable feedstock for biodiesel: Current status and perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 596-606.
    4. Wang, Bohong & Klemeš, Jiří Jaromír & Liang, Yongtu & Yuan, Meng & Zhang, Haoran & Liu, Jiayi, 2020. "Implementing hydrogen injection in coal-dominated regions: Supply chain optimisation and reliability analysis," Energy, Elsevier, vol. 201(C).
    5. Chountalas, Theofanis D. & Founti, Maria & Tsalavoutas, Ioannis, 2023. "Evaluation of biofuel effect on performance & emissions of a 2-stroke marine diesel engine using on-board measurements," Energy, Elsevier, vol. 278(C).
    6. Shiyu Chen & Wei Wang & Enrico Zio, 2021. "A Simulation-Based Multi-Objective Optimization Framework for the Production Planning in Energy Supply Chains," Energies, MDPI, vol. 14(9), pages 1-27, May.
    7. Tapia, John Frederick D., 2021. "Optimal synthesis of multi-product energy systems under neutrosophic environment," Energy, Elsevier, vol. 229(C).
    8. Salimi, F. & Vahdani, Behnam, 2018. "Designing a bio-fuel network considering links reliability and risk-pooling effect in bio-refineries," Reliability Engineering and System Safety, Elsevier, vol. 174(C), pages 96-107.
    9. Li, Clyde Zhengdao & Lai, Xulu & Xiao, Bing & Tam, Vivian W.Y. & Guo, Shan & Zhao, Yiyu, 2020. "A holistic review on life cycle energy of buildings: An analysis from 2009 to 2019," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(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:eee:energy:v:103:y:2016:i:c:p:151-166. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.journals.elsevier.com/energy .

    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.