Multi-objective inexact optimization of the biomass supply chain from an energy-land-carbon nexus perspective
2025
Zhanxiang Fang | Mengmeng Wang | Ling Ji | Yulei Xie | Jiliang Zhen
It is attractive and advantageous to utilize marginal land to support regional biomass energy development and improve energy security. In this study, an integrated and comprehensive decision-making framework is proposed to support the strategic planning and tactical management of regional biomass supply networks from an energy-land-carbon nexus perspective. It combines a multi-objective fuzzy chance-constraint programming model with spatial analysis of marginal land and multi-criteria assessment of biorefinery sites. The model is verified through a case study of a major agricultural region, Shandong Province in China. Local agricultural residues remain a key feedstock for bioethanol production. The results highlight the importance of considering the multi-objective tradeoffs and the intricate resource and environmental nexus for stakeholders to achieve sustainability in real practice. A cost-minimization objective drives the construction of large-scale biomass plants to enhance efficiency. An emissions-minimization goal favors smaller, decentralized plants to reduce transport distances and improve local land use. Maximizing social welfare promotes marginal land development, creating more employment opportunities. Decision-makers' management goals, risk preferences, and external fluctuations significantly influence the spatial planning of bioethanol supply chains, marginal land utilization, and operational strategies. Overall, the proposed methodology offers decision-makers an effective tool for achieving optimal decisions while accounting for complex system interdependencies, conflicting objectives, and uncertainties.
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