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Enabling Refinery Integration for Plastic Waste Recycling: A Probabilistic Techno-economic Analysis and Carbon Footprint Assessment of Poly-Crude Production

プラスチック廃棄物リサイクルのための製油所統合を可能にする:ポリクルード生産の確率的技術経済分析とカーボンフットプリント評価 (AI 翻訳)

Elizabeth Aigaje-Espinosa, Rui Shi

ACS Sustainable Chemistry & Engineering📚 査読済 / ジャーナル2026-07-20#その他Origin: US経営インパクト: コスト削減対象セクター: manufacturing
DOI: 10.1021/acssuschemeng.6c04153
原典: https://doi.org/10.1021/acssuschemeng.6c04153

🤖 gxceed AI 要約

日本語

本論文は、プラスチック廃棄物を製油所で処理可能な「ポリクルード」に変換する二つの水素化分解経路を評価。確率論的技術経済分析と温室効果ガス排出量計算により、20%のケースで原油価格を下回る最低販売価格を達成するものの、収益性には厳しい条件が必要であることを示した。排出量は電力構成と水素経路に強く依存する。

English

This study evaluates two hydroconversion pathways (hydrocracking and hydrogenolysis) for converting plastic waste into refinery-compatible 'poly-crude'. Using probabilistic techno-economic analysis and GHG emission calculations, it finds that 20% of simulated cases achieve profitability below benchmark crude oil prices, but only under stringent conditions: hydrocracking with on-site green hydrogen, yields above 90%, feedstock below $0.3/kg, and capacity over 250 tons/day. GHG impacts are highly scenario-dependent.

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

日本ではプラスチック資源循環法に基づき廃プラスチックのケミカルリサイクルが推進されている。本研究成果は、製油所既存設備を活用するポリクルード方式の技術的・経済的課題を明確にしており、国内のリサイクル戦略や水素供給計画に示唆を与える。

In the global GX context

Globally, plastic waste recycling faces cost and efficiency barriers. This paper provides the first probabilistic, system-level assessment of poly-crude production, highlighting key performance targets (yield, feedstock cost, scale) for cost-competitive recycling. The findings are relevant for petrochemical companies and policymakers aiming to integrate circular economy with decarbonization via hydrogen pathways.

👥 読者別の含意

🔬研究者:Provides a probabilistic framework and sensitivity analysis for early-stage sustainability assessment of plastic-to-fuel processes.

🏢実務担当者:Offers benchmarks for minimum selling prices and key parameters to improve profitability in plastic waste hydroconversion.

🏛政策担当者:Highlights dependency on electricity mix and hydrogen supply for GHG benefits, suggesting policy support for green hydrogen and waste sorting.

📄 Abstract(原文)

High Resolution Image Download MS PowerPoint Slide Plastic waste recycling remains constrained by limited cost competitiveness and energy-intensive conversion and separation. Here, we evaluate the conversion of plastic waste into refinery-compatible “poly-crude” as a pathway for plastic reintegration into existing petrochemical infrastructure, potentially eliminating the need for dedicated downstream upgrading facilities and associated capital investments. We present an early-stage, system-level sustainability assessment of poly-crude production, evaluating two hydroconversion pathways (hydrocracking and hydrogenolysis) and multiple hydrogen supply strategies. Economic performance was assessed using probabilistic technoeconomic analysis integrating process modeling, Latin hypercube uncertainty sampling, and global sensitivity analyses, while environmental performance was evaluated through scenario-based greenhouse gas (GHG) emission calculations. Results show that 20% of simulated cases achieve poly-crude minimum selling prices (MSPs) below the benchmark crude-oil price, indicating constrained profitability. Scenario analysis reveals that profitability requires hydrocracking with on-site green hydrogen production, poly-crude yields above 90%, feedstock prices below $0.3 kg −1, and capacities exceeding 250 tons day −1 . GHG emissions are highly sensitive to the electricity mix and hydrogen conversion pathway, making any potential benefits relative to crude oil strongly scenario-dependent. This work provides the first probabilistic, system-level evaluation of plastic waste hydroconversion to refinery-compatible intermediates and identifies key performance targets and research priorities for improving process viability.

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