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April 10, 2026GCB Bioenergy2 citationsOpen Access

What Is the Best Use of Biomass? A Harmonized LCA ‐ TEA Framework Quantifying Economic and Environmental Metrics for Bioenergy Pathways

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SKSaurajyoti KarTHTroy R. HawkinsDODoris Oke

Key Points

  • The aim is to develop a unified framework to assess the economic and environmental performance of various bioenergy pathways.
  • Developed a harmonized life cycle assessment (LCA) and techno-economic analysis (TEA) framework.
  • Analyzed 19 bioenergy pathways including liquid biofuels, bioelectricity, and biomass-to-hydrogen.
  • Used GREET 2022 model to evaluate GHG impacts and U.S. Billion-Ton 2016 data for biomass projections.
  • Assessed the effect of low-carbon electricity grids on pathway performance.
  • CCS implementation reduced carbon intensities to net-negative values for several bioenergy pathways.
  • Marginal abatement costs ranged from $32 to $600 per metric ton (MT) CO2e avoided.
  • Bioelectricity pathways with CCS showed the lowest marginal abatement cost at $32–$68/tCO2e.
  • Liquid biofuels and hydrogen remain essential for hard-to-abate sectors like aviation.
  • Pathways with positive electricity demand benefited from low-carbon grids, while co-producing pathways saw increased costs under certain conditions.

Abstract

ABSTRACT Bioresource utilization is expected to play a pivotal role in complementing existing energy pathways and enhancing energy resilience. This study develops a harmonized life cycle assessment (LCA) and techno‐economic analysis (TEA) framework to evaluate the greenhouse gas (GHG) reduction potential, minimum fuel selling price (MFSP), and marginal abatement cost (MAC) of bioenergy pathways. We analyze 19 pathways, including liquid biofuels (via catalytic fast pyrolysis, Fischer–Tropsch synthesis, and gasification), bioelectricity, and biomass‐to‐hydrogen, with and without carbon capture and storage (CCS). The GHG impacts are assessed using the GREET 2022 model, while U. S. Billion‐Ton 2016 biomass availability projections are used to estimate scale‐up potential. Additionally, we evaluate the influence of a low‐carbon electricity grid on pathway performance. Our results show that CCS implementation reduces carbon intensities (CI) to net‐negative values for several pathways, with MAC ranging from 32 to 600 per metric ton (MT) CO2e avoided. Bioelectricity pathways with CCS achieve the lowest MAC (32–68/tCO2e), while liquid biofuels and hydrogen pathways remain critical for hard‐to‐abate sectors like aviation and heavy industry. Pathways with net‐positive electricity demand benefit from a low‐carbon grid, whereas those co‐producing electricity experience increased MAC under lower electricity grid CI scenarios. This open‐source framework provides a robust tool for harmonized evaluation of bioenergy pathways, enabling policymakers and stakeholders to identify cost‐effective strategies for biomass utilization and carbon abatement at scale. The findings underscore the importance of CCS, co‐product credits, and feedstock availability in optimizing bioenergy deployment for a low‐carbon economy.

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Cite This Study

Kar et al. (2026) studied this question.

synapsesocial.com/papers/69d896566c1944d70ce07a75https://doi.org/10.1111/gcbb.70115
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