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March 8, 2026EnergiesOpen Access

Designing a Rice Straw-Based Biofuel Supply Chain Using Mixed-Integer Programming in South Korea

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Authors

SSSeongeun SongJSJunyoung SeoYKYoungjin Kim

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Overview

MILP model optimizes bioethanol production and supply chain locations in South Korea, highlighting cost-effective refining strategies.

Key Points

  • This research aims to develop a cost-effective bioethanol supply chain using rice straw in South Korea.
  • Developed a mixed-integer linear programming (MILP) model for supply chain design.
  • Evaluated optimal locations for feedstock collection, refining, and consumption.
  • Analyzed blending ratios of bioethanol in gasoline based on actual consumption data.
  • The optimal supply chain design varies with differing bioethanol blending ratios (3%, 6%, and 9%).
  • A single large-scale refinery is most economical under the RFS 3% scenario.
  • Multiple refineries are needed in the RFS 6% and 9% scenarios to maintain supply chain efficiency.

Cite This Study

Song et al. (2026) studied this question.

synapsesocial.com/papers/69acc5b032b0ef16a40503c9https://doi.org/10.3390/en19051338
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