← 論文一覧に戻る

Thermal Plasma Treatment of Simulated Medical Waste Using CO2 as a Gasification Agent for Carbon Utilization at Pilot Scale

CO2をガス化剤として用いた模擬医療廃棄物の熱プラズマ処理による炭素利用のパイロットスケール実証 (AI 翻訳)

Pilař, Jakub, Bouzek, Karel, Paušová, Šárka

Zenodoプレプリント2026-08-07#CCUS対象セクター: waste_management
DOI: 10.1016/j.cej.2026.179337
原典: https://zenodo.org/records/21833789
📄 PDF

🤖 gxceed AI 要約

日本語

本研究は、CO2を反応性ガス化剤として用いたパイロット規模(最大160kW)の熱プラズマ反応器による模擬医療廃棄物のガス化を検討。高温・UV環境下で有害中間体を分解しつつ、CO2をCOへ転換するCCUを実証。生成シンガスはLHV 13.9-18.8 MJ/kgで、化学エネルギー比は最大1.9、冷ガス効率は約56%に達した。医療廃棄物のエネルギー回収とCO2利用の両立可能性を示す。

English

This study investigates pilot-scale (up to 160 kW) thermal plasma gasification of simulated medical waste using CO2 as a reactive gasification agent. The process achieves decomposition of hazardous intermediates while converting CO2 to CO via dry reforming and Boudouard reactions. The produced syngas has LHV of 13.9-18.8 MJ/kg, with chemical energy ratio up to 1.9 and cold gas efficiency near 56%. Demonstrates potential for energy recovery and carbon utilization from medical waste.

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

日本では医療廃棄物処理が課題であり、本技術は廃棄物発電やCCUの観点で注目される。ただし、実用化にはコストや規制対応が課題で、日本の廃棄物処理政策やカーボンニュートラル戦略との整合性が重要。

In the global GX context

Globally, this work contributes to waste-to-energy and carbon capture/utilization literature, offering a novel approach to treat hazardous waste while producing syngas. It aligns with circular economy and climate goals, though scale-up and economic viability remain key considerations.

👥 読者別の含意

🔬研究者:Provides experimental data on CO2-assisted plasma gasification, useful for process optimization and reactor design.

🏢実務担当者:Offers a potential technology for medical waste treatment with energy recovery, but requires further validation for real waste streams.

🏛政策担当者:Highlights a CCU pathway for waste management, relevant for waste-to-energy policies and carbon reduction strategies.

📄 Abstract(原文)

Treatment of hazardous medical waste streams represents a significant environmental challenge, commonly associated with greenhouse gas emissions and limited energy recovery. This study experimentally and theoretically investigates the valorization of simulated medical waste (SMW) via a thermochemical upcycling approch, employing a pilot-scale (up to 160 kW) high-enthalpy (>100 MJ kg⁻¹) direct-current (DC) discharge thermal plasma reactor processing 6.2-9.0 kg h-1 of feedstock with carbon dioxide (CO2) injection rates of 0-164 slm as a reactive gasifying agent. The unique reactor environment, characterized by temperatures of 1250–1450 °C and intense UV radiation, ensured the decomposition of hazardous intermediates while enabling Carbon capture and utilization (CCU). The results demonstrate that externally supplied CO2 actively participates in high-temperature gasification, promoting carbon monoxide formation through dry reforming and Boudouard reactions. The produced syngas was rich in CO and H2, with lower heating values (LHV) ranging from 13.9 to 18.8 MJ kg⁻¹. A key finding was the successful upgrading of low-grade waste into a valuable fuel, evidenced by a chemical energy ratio of the output syngas to the input waste fuel reaching up to 1.9. The cold gas efficiency experimentally reached nearly 56%, while equilibrium-based analysis indicates a theoretical upper limit exceeding 62% under optimized power matching. Deviations between experimental results and equilibrium predictions observed at extreme (marginal) operating regimes were attributed to pilot-scale effects such as non-uniform mixing, residence time limitations, and heterogeneous reaction kinetics. Overall, this study shows that CO₂-assisted thermal plasma gasification of simulated medical waste has strong application potential for the treatment of real hazardous medical wastes, enabling efficient syngas production while utilizing CO₂ as a reactive gasification agent.

🔗 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。