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Biomass procurement and supplier diversification for energy generation: Optimization models and insights

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  • Muñoz, Felipe T.

Abstract

This study addresses the challenge of designing cost-efficient and resilient biomass procurement strategies by integrating supplier diversification and contractual flexibility into a mathematical optimization framework. We formulate a mixed-integer linear programming (MILP) model that captures key characteristics of the procurement context, including biomass heterogeneity, moisture variability, storage capacity constraints, logistics, and monthly energy demand. The model reflects the operational and contractual conditions faced in the strategic design of biomass supply chains. A multi-objective extension is introduced to analyze trade-offs between minimizing procurement costs and maximizing the number of contracted biomass profiles, which serves as a proxy for supply diversification.

Suggested Citation

  • Muñoz, Felipe T., 2026. "Biomass procurement and supplier diversification for energy generation: Optimization models and insights," Applied Energy, Elsevier, vol. 410(C).
  • Handle: RePEc:eee:appene:v:410:y:2026:i:c:s0306261926001960
    DOI: 10.1016/j.apenergy.2026.127544
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