← 論文一覧に戻る

Process Design and Greenhouse Gas Analysis of an Electrified Mixed Plastic Waste-to-Olefins Value Chain

電化された混合プラスチック廃棄物からオレフィンへのバリューチェーンのプロセス設計と温室効果ガス分析 (AI 翻訳)

Amvrosios G. Georgiadis, Vasileia-Loukia Yfanti, Ismaël Amghizar, David J. Brown, Azd Zayoud, Guy B. Marin, Kevin Van Geem, Evangelos Delikonstantis, Stavros-Alexandros Theofanidis

Industrial & Engineering Chemistry Research📚 査読済 / ジャーナル2026-08-16#エネルギー転換Origin: EU経営インパクト: コスト削減対象セクター: chemicals
DOI: 10.1021/acs.iecr.6c01225
原典: https://doi.org/10.1021/acs.iecr.6c01225
📄 PDF

🤖 gxceed AI 要約

日本語

混合プラスチック廃棄物を熱分解、電化クラッキング、圧縮、分離によりポリマー級オレフィンに変換するプロセス設計とライフサイクルGHG分析を提示。集中型・分散型、CHP・全面電化、系統電力・再生可能電力の8シナリオを評価。陸上風力電力を想定するとGHG排出はHVC 1kgあたり約0.08kg CO2-eqとなり、EUの2040年目標(従来比90%削減)を達成可能。ただし輸送距離が160-180km以内に限定される。

English

This study presents a conceptual process design and life-cycle GHG analysis for converting mixed plastic waste into polymer-grade olefins via pyrolysis, e-cracking, compression, and separation. Eight scenarios are assessed, combining centralized/decentralized configurations, CHP vs. fully electrified operation, and grid vs. renewable electricity. With onshore wind power, GHG emissions drop to ~0.08 kg CO2-eq per kg of high-value chemicals, meeting the EU's 2040 climate target of 90% reduction relative to conventional naphtha cracking, provided transport distances stay within 160-180 km.

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促進法やカーボンニュートラル目標が背景にあり、廃プラのケミカルリサイクルは重要な課題。本論文の電化プロセスとGHG評価手法は、日本の化学産業がCCUや電化技術を検討する際の定量的枠組みを提供する。

In the global GX context

This paper contributes to global GX scholarship by providing a rigorous life-cycle assessment of an electrified waste-to-olefins value chain, directly relevant to EU climate targets and the broader transition to circular, low-carbon chemicals. It offers a methodological template for evaluating electrified processes and highlights the critical role of transport logistics in achieving deep decarbonization.

👥 読者別の含意

🔬研究者:Provides a detailed process modeling framework and LCA methodology for electrified waste-to-olefins, useful for benchmarking and further optimization studies.

🏢実務担当者:Offers quantitative insights into the GHG reduction potential and constraints of electrified plastic recycling, informing investment and supply chain decisions.

🏛政策担当者:Demonstrates the feasibility of achieving EU 2040 climate targets with electrified waste-to-olefins, but highlights the need for renewable electricity and optimized logistics.

📄 Abstract(原文)

Abstract This work presents the conceptual process design and life-cycle Greenhouse Gas (GHG) analysis for converting mixed plastic waste (MPW) into polymer-grade olefins (≥99.9 wt % ethylene and propylene) via sequential pyrolysis, e-cracking, compression, and separation. The integrated plant-wide process modeling was performed within a Python-based framework as an alternative to conventional commercial simulators. Eight scenarios were assessed by combining centralised and decentralised configurations, combined heat and power (CHP)-powered and fully electrified operation, and grid versus renewable electricity supply. Under fully electrified conditions, the carbon footprint strongly depends on the electricity source. When onshore wind-harvested electricity is assumed, GHG emissions decrease to ∼0.08 kg CO2-eq per kg of high-value chemicals (HVCs), placing the process within the EU’s 2040 climate objective of a 90% reduction relative to the sector’s conventional benchmark (i.e., naphtha steam cracking, ∼1 kg CO2-eq per kg of HVC). Sensitivity analysis showed that transport-related emissions are a significant contributor in the fully electrified scenario. In particular, maintaining the targeted 90% GHG reduction relative to the conventional benchmark is only feasible for MPW transport distances of ∼ 160–180 km.

🔗 Provenance — このレコードを発見したソース

🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録(無料・3キーワードまで)。

gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。