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A study of the LCA based biofuel supply chain multi-objective optimization model with multi-conversion paths in China

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  • Liu, Zhexuan
  • Qiu, Tong
  • Chen, Bingzhen

Abstract

In this paper we present a life cycle assessment (LCA) based biofuel supply chain model with multi-conversion pathways. This model was formulated as a mixed integer linear programming (MILP) problem which took economic, energy, and environmental criteria (3E) into consideration. The economic objective was measured by the total annual profit. The energy objective was measured by using the average fossil energy input per megajoule (MJ) of biofuel. The environmental objective was measured by greenhouse gas (GHG) emissions per MJ of biofuel. After carefully consideration of the current situation in China, we chose to examine three conversion pathways: bio-ethanol (BE), bio-methanol (BM) and bio-diesel (BD). LCA was integrated to a multi-objective supply chain model by dividing each pathway into several individual parts and analyzing each part. The multi-objective MILP problem was solved using a ε-constraint method by defining the total annual profit as the optimization objective and assigning the average fossil energy input per MJ biofuel and GHG emissions per MJ biofuel as constraints. This model was then used to design an experimental biofuel supply chain for China. A surface of the Pareto optimal solutions was obtained by linear interpolation of the non-inferior solutions. The optimal results included the choice of optimal conversion pathway, biomass type, biomass locations, facility locations, and network topology structure in the biofuel supply chain. Distributed and centralized systems were also factored into our experimental system design. In addition, the influence of price change on the optimal solutions was investigated. The optimal solutions obtained in this study reveal a tradeoff between the impact of the 3E criteria. These results indicate that our model will be extremely useful for the design and planning of biofuel supply chains in China.

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  • 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.
    • Handle: RePEc:eee:appene:v:126:y:2014:i:c:p:221-234
    DOI: 10.1016/j.apenergy.2014.04.001
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    1. Qiu, Huanguang & Huang, Jikun & Yang, Jun & Rozelle, Scott & Zhang, Yuhua & Zhang, Yahui & Zhang, Yanli, 2010. "Bioethanol development in China and the potential impacts on its agricultural economy," Applied Energy, Elsevier, vol. 87(1), pages 76-83, January.
    2. Ou, Xunmin & Zhang, Xiliang & Chang, Shiyan & Guo, Qingfang, 2009. "Energy consumption and GHG emissions of six biofuel pathways by LCA in (the) People's Republic of China," Applied Energy, Elsevier, vol. 86(Supplemen), pages 197-208, November.
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    2. Cambero, Claudia & Sowlati, Taraneh, 2016. "Incorporating social benefits in multi-objective optimization of forest-based bioenergy and biofuel supply chains," Applied Energy, Elsevier, vol. 178(C), pages 721-735.
    3. 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).
    4. Shen, Jiayu, 2020. "An environmental supply chain network under uncertainty," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 542(C).
    5. Fengli Zhang & Dana M. Johnson & Jinjiang Wang, 2015. "Life-Cycle Energy and GHG Emissions of Forest Biomass Harvest and Transport for Biofuel Production in Michigan," Energies, MDPI, vol. 8(4), pages 1-14, April.
    6. Poritosh Roy & Animesh Dutta & Bill Deen, 2015. "An Approach to Identify the Suitable Plant Location for Miscanthus -Based Ethanol Industry: A Case Study in Ontario, Canada," Energies, MDPI, vol. 8(9), pages 1-16, August.
    7. Kwon, Oseok & Kim, Juyeon & Han, Jeehoon, 2022. "Organic waste derived biodiesel supply chain network: Deterministic multi-period planning model," Applied Energy, Elsevier, vol. 305(C).
    8. Chamari Pamoshika Jayarathna & Duzgun Agdas & Les Dawes & Tan Yigitcanlar, 2021. "Multi-Objective Optimization for Sustainable Supply Chain and Logistics: A Review," Sustainability, MDPI, vol. 13(24), pages 1-31, December.
    9. 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).
    10. Babazadeh, Reza & Razmi, Jafar & Pishvaee, Mir Saman & Rabbani, Masoud, 2017. "A sustainable second-generation biodiesel supply chain network design problem under risk," Omega, Elsevier, vol. 66(PB), pages 258-277.
    11. Hoo Poh Ying & Cassendra Bong Phun Chien & Fan Yee Van, 2020. "Operational Management Implemented in Biofuel Upstream Supply Chain and Downstream International Trading: Current Issues in Southeast Asia," Energies, MDPI, vol. 13(7), pages 1-26, April.
    12. Sanchit Singh & Subhash C. Sarin & Sandeep Singh Sangha, 2025. "Nested benders decomposition for a deterministic biomass feedstock logistics problem," Journal of Global Optimization, Springer, vol. 91(1), pages 95-127, January.

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