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Life Cycle Assessment of Green Methanol Production Based on Multi-Seasonal Modeling of Hybrid Renewable Energy and Storage Systems

Author

Listed:
  • Hüseyin Güleroğlu

    (Department of Mechanical Engineering, Yildiz Technical University, Istanbul 34349, Turkey)

  • Zehra Yumurtacı

    (Department of Mechanical Engineering, Yildiz Technical University, Istanbul 34349, Turkey)

Abstract

This study evaluates the environmental implications of green methanol production under seasonal energy variability through a dual-comparative analytical framework. The research employs ReCiPe 2016 Endpoint (H) methodology to assess four seasonal renewable energy configurations (with varying solar–wind ratios across seasons) against conventional grid-based production, utilizing a hybrid battery storage system combining lithium-ion and vanadium redox flow technologies. The findings reveal significant environmental benefits, with seasonal renewable configurations achieving 24.38% to 28.26% reductions in global warming potential compared to conventional methods. Monte Carlo simulation (n = 20,000) confirms these improvements across all impact categories. Our process analysis identifies hydrogen production as the primary environmental impact contributor (74–94%), followed by carbon capture (5–13%) and methanol synthesis (0.5–4.5%). Water consumption impacts show seasonal variation, ranging from 16.55% in summer to 11.62% in winter. There is a strong positive correlation between hydrogen production efficiency and solar energy availability, suggesting that higher solar energy input contributes to improved production outcomes. This research provides a framework for optimizing sustainable methanol production through seasonal renewable energy integration, offering practical insights for industrial implementation while maintaining production stability through effective energy storage solutions.

Suggested Citation

  • Hüseyin Güleroğlu & Zehra Yumurtacı, 2025. "Life Cycle Assessment of Green Methanol Production Based on Multi-Seasonal Modeling of Hybrid Renewable Energy and Storage Systems," Sustainability, MDPI, vol. 17(2), pages 1-29, January.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:2:p:624-:d:1567385
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