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Pipesharing: economic-environmental benefits from transporting biofuels through multiproduct pipelines

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  • Li, Zhengbing
  • Liang, Yongtu
  • Ni, Weilong
  • Liao, Qi
  • Xu, Ning
  • Li, Lichao
  • Zheng, Jianqin
  • Zhang, Haoran

Abstract

As the most potential renewable energy, biofuel energy has become the fourth largest energy source after coal, oil and natural gas. Promoting the extensive application of biofuels is an effective way to reduce carbon emissions. Pipeline is one of the most efficient ways to transport large-volume fuels over long distances. Transporting biofuels through the existing multiproduct pipelines is in line with the requirements of environmental protection, energy saving and low-carbon economy. To determine the surplus capacity of pipelines in a certain period is the premise of adopting this mode to transfer biofuels. This study develops a method for estimating the capacity of pipelines for biofuel transport, accounting for clients’ demand for petroleum products, the capacity limitations of existing pipeline equipment and transport cycle of biofuels in the pipeline. Using the data from practical pipelines, their monthly surplus capacity is within the range of 15 × 104 to 80 × 104 m3. It is turned out that pipeline length, transportation capacity of power equipment and market demand of refined products are the dominating factors for surplus capacity. Assuming varying demand on refined products, sensitivity analysis is conducted to compare the economic-environmental benefits from sharing pipeline’s surplus capacity with biofuel shipment. The simulation results show that pipeline sharing brings about win–win effects for both petroleum and pipeline companies. The petroleum company has a reduction of 1.2%–34.9% in carbon emissions and 0.3%–14.7% in logistics cost, while the pipeline operator increases revenue by 0.4%–33.7%.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:appene:v:311:y:2022:i:c:s0306261922001490
    DOI: 10.1016/j.apenergy.2022.118684
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    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. Ge, Yuntian & Li, Lin & Yun, Lingxiang, 2021. "Modeling and economic optimization of cellulosic biofuel supply chain considering multiple conversion pathways," Applied Energy, Elsevier, vol. 281(C).
    3. Moretti, Luca & Milani, Mario & Lozza, Giovanni Gustavo & Manzolini, Giampaolo, 2021. "A detailed MILP formulation for the optimal design of advanced biofuel supply chains," Renewable Energy, Elsevier, vol. 171(C), pages 159-175.
    4. Meira, William Hitoshi Tsunoda & Magatão, Leandro & Relvas, Susana & Barbosa-Póvoa, Ana Paula & Neves, Flávio & Arruda, Lúcia V.R., 2018. "A matheuristic decomposition approach for the scheduling of a single-source and multiple destinations pipeline system," European Journal of Operational Research, Elsevier, vol. 268(2), pages 665-687.
    5. Asadi, Ehsan & Habibi, Farhad & Nickel, Stefan & Sahebi, Hadi, 2018. "A bi-objective stochastic location-inventory-routing model for microalgae-based biofuel supply chain," Applied Energy, Elsevier, vol. 228(C), pages 2235-2261.
    6. Akhtari, Shaghaygh & Sowlati, Taraneh, 2020. "Hybrid optimization-simulation for integrated planning of bioenergy and biofuel supply chains," Applied Energy, Elsevier, vol. 259(C).
    7. Akhtari, Shaghaygh & Sowlati, Taraneh & Griess, Verena C., 2018. "Integrated strategic and tactical optimization of forest-based biomass supply chains to consider medium-term supply and demand variations," Applied Energy, Elsevier, vol. 213(C), pages 626-638.
    8. Liu, Zhexuan & Qiu, Tong & Chen, Bingzhen, 2014. "A study of the LCA based biofuel supply chain multi-objective optimization model with multi-conversion paths in China," Applied Energy, Elsevier, vol. 126(C), pages 221-234.
    9. Mostafaei, Hossein & Castro, Pedro M. & Relvas, Susana & Harjunkoski, Iiro, 2021. "A holistic MILP model for scheduling and inventory management of a multiproduct oil distribution system," Omega, Elsevier, vol. 98(C).
    10. Fattahi, Mohammad & Govindan, Kannan, 2018. "A multi-stage stochastic program for the sustainable design of biofuel supply chain networks under biomass supply uncertainty and disruption risk: A real-life case study," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 534-567.
    11. Wang, Wenya & Fan, L.W. & Zhou, P., 2022. "Evolution of global fossil fuel trade dependencies," Energy, Elsevier, vol. 238(PC).
    12. Zhang, Jun & Osmani, Atif & Awudu, Iddrisu & Gonela, Vinay, 2013. "An integrated optimization model for switchgrass-based bioethanol supply chain," Applied Energy, Elsevier, vol. 102(C), pages 1205-1217.
    13. Chiaramonti, David & Talluri, Giacomo & Scarlat, Nicolae & Prussi, Matteo, 2021. "The challenge of forecasting the role of biofuel in EU transport decarbonisation at 2050: A meta-analysis review of published scenarios," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
    14. 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.
    15. Yuan, Meng & Zhang, Haoran & Wang, Bohong & Zhang, Yang & Zhou, Xingyuan & Liang, Yongtu, 2020. "Future scenario of China's downstream oil reform: Improving the energy-environmental efficiency of the pipeline networks through interconnectivity," Energy Policy, Elsevier, vol. 140(C).
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    1. Xuwei Tang & Qi Zhang & Chunxin Li & Haitao Zhang & Haiyun Xu, 2023. "The Effects and Driving Factors of Low-Carbon Transition of International Oil Companies: Evidence from a Super-SBM Model," Energies, MDPI, vol. 17(1), pages 1-19, December.
    2. Tu, Renfu & Jiao, Yingqi & Qiu, Rui & Liao, Qi & Xu, Ning & Du, Jian & Liang, Yongtu, 2023. "Energy saving and consumption reduction in the transportation of petroleum products: A pipeline pricing optimization perspective," Applied Energy, Elsevier, vol. 342(C).

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