When More CO2 Utilization Is Not Better: Life Cycle Assessment of Trade-offs and Optimal Design in Plastic Waste-to-Hydrogen Systems
より多くのCO2利用が常に良いとは限らない:プラスチック廃棄物からの水素製造システムにおけるトレードオフと最適設計のライフサイクル評価 (AI 翻訳)
Yuchan Ahn
🤖 gxceed AI 要約
日本語
本研究は、プラスチック廃棄物からの水素製造システムにおいて、CO2利用率を変えた場合の環境影響をライフサイクル評価(LCA)により分析。CO2利用率が中程度(40-50%)までは環境負荷が減少するが、それ以上増やすとエネルギー需要増加により負荷が再び増大する非線形関係を発見。経済的最適点(60-70%)と環境的最適点(40-50%)が乖離することを示し、CO2利用率50-60%が両者の妥協点として提案されている。
English
This study performs a life cycle assessment of plastic waste-to-hydrogen systems with varying CO2 utilization ratios. It reveals a non-linear relationship: environmental impacts decrease at moderate utilization (40-50%) but reverse at higher levels due to increased energy demand. Economic and environmental optima diverge, and a balanced region around 50-60% CO2 utilization is identified.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本では水素社会の実現と廃プラスチック資源化が重要課題。本論文はCO2活用の過剰な推進がかえって環境負荷を増やす可能性を示し、政策目標設定や技術設計に有用な示唆を与える。
In the global GX context
Globally, this paper provides critical nuance to CO2 utilization as a climate strategy. It demonstrates that maximizing CO2 utilization can worsen overall environmental impacts due to energy trade-offs, offering guidance for designing efficient hydrogen production systems and informing carbon management policies.
👥 読者別の含意
🔬研究者:The non-linear trade-offs between CO2 utilization and energy demand provide a framework for LCA optimization in circular carbon systems.
🏢実務担当者:Designers of waste-to-hydrogen plants can use the identified optimal CO2 utilization range (50-60%) to balance environmental and economic performance.
🏛政策担当者:Policymakers should avoid setting simple CO2 utilization targets without considering system-level energy impacts, as higher utilization may not be environmentally beneficial.
📄 Abstract(原文)
This study presents an integrated environmental assessment of plastic waste-to-hydrogen systems with varying CO2 utilization ratios, combining process-level simulation with life-cycle assessment (LCA). The environmental impacts are evaluated across key categories, including global warming potential (GWP), fine particulate matter formation (PM), fossil resource scarcity (FRC), and water consumption (WC). The results reveal a non-linear relationship between CO2 utilization and environmental impacts. As the CO2 utilization ratio increases from the N2 baseline to moderate levels (CO2-40 to CO2-50), environmental impacts decrease due to improved carbon utilization and reduced direct CO2 emissions. However, further increases in CO2 utilization lead to a reversal of this trend, with environmental burdens rising significantly due to increased energy and utility demand associated with intensified CO2 recycling. Process contribution analysis shows that the dominant impact drivers shift from direct CO2 emissions to utility-related contributions, particularly heat (steam) and electricity, at higher utilization levels. A trade-off analysis between direct CO2 emissions and utility-related impacts identifies an optimal environmental operating range around CO2-50. An integrated comparison with techno-economic performance, represented by the minimum hydrogen selling price (MHSP), reveals a divergence between environmental and economic optima. While environmental impacts are minimized at CO2-40 to CO2-50, the economic optimum occurs at higher utilization levels (CO2-60 to CO2-70). These results highlight that CO2 utilization acts as a key design variable governing the trade-off between carbon efficiency and energy demand. An optimal compromise region is identified around CO2-50 to CO2-60, providing a balanced operating window for both environmental and economic performance. This study demonstrates that maximizing CO2 utilization is not necessarily optimal from a system-level sustainability perspective and provides practical insights for the design and optimization of integrated plastic waste-to-hydrogen systems.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.3390/pr14101543first seen 2026-05-15 17:32:04
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