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From Waste Stream to Aviation Decarbonization Asset: Opportunities and Challenges of Palm Oil Mill Effluent (POME)–Based HEFA Sustainable Aviation Fuel Under ICAO CORSIA

廃棄物から航空脱炭素資産へ:ICAO CORSIA下におけるパーム油工場廃水(POME)ベースのHEFA持続可能航空燃料の機会と課題 (AI 翻訳)

L. Judijanto

Engineering and Technology Journal📚 査読済 / ジャーナル2026-01-01#炭素会計Origin: Global
DOI: 10.47191/etj/v11i02.23
原典: https://doi.org/10.47191/etj/v11i02.23

🤖 gxceed AI 要約

日本語

本論文は、パーム油工場廃水(POME)由来の持続可能航空燃料(SAF)がICAO CORSIAの枠組み下でどのように航空脱炭素化に貢献できるかを検討する。POMEは残渣として分類され、低いデフォルトライフサイクル排出値を有するため、炭素会計上の優位性を持つ。一方、サプライチェーンの変動、MRVの完全性リスク、インフラ制約などの課題も指摘される。結論として、信頼できるトレーサビリティと会計アーキテクチャの構築が重要である。

English

This paper examines the opportunities and challenges of POME-based SAF under ICAO CORSIA, highlighting carbon-accounting advantages due to residue classification and low default life-cycle emissions. It identifies supply-chain variability, MRV integrity risks, and infrastructure constraints as key challenges, and recommends building trustworthy traceability and accounting systems.

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

日本は航空脱炭素化に向けSAFの導入を推進しており、CORSIAに基づく排出量取引にも参加している。本論文はPOME由来SAFの炭素会計上の利点と課題を整理しており、日本がSAF調達先を多様化する上で参考になる。特に、残渣分類とライフサイクル排出値の扱いは、日本のSAF認証制度設計にも示唆を与える。

In the global GX context

This paper contributes to the global discourse on SAF carbon accounting under ICAO CORSIA, specifically addressing the potential of residue-based feedstocks like POME. It highlights governance requirements for credibility, which is critical as the aviation industry scales SAF to meet decarbonization targets.

👥 読者別の含意

🔬研究者:Provides a synthesis of the opportunity and challenge landscape for POME-based SAF under CORSIA, useful for further research on carbon accounting and residue classification.

🏢実務担当者:Corporate sustainability teams in aviation and fuel supply chains can use the policy recommendations to guide sourcing and certification strategies.

🏛政策担当者:Regulators involved in CORSIA implementation and SAF certification should note the governance requirements and MRV risks highlighted.

📄 Abstract(原文)

Sustainable Aviation Fuel (SAF) is widely viewed as a near- to mid-term pillar of aviation decarbonization because it can function as a drop-in fuel within existing aircraft and fueling infrastructure, while enabling substantial life-cycle greenhouse gas (GHG) reductions when produced from low-carbon feedstocks and robustly accounted for. Under ICAO’s Carbon Offsetting and Reduction Scheme for International Aviation (CORSIA), life-cycle accounting, including default and actual life-cycle emissions values, has become central to how airlines can claim emissions reductions from eligible fuels. Recent policy-relevant developments highlight Palm Oil Mill Effluent (POME)—a residue stream from crude palm oil (CPO) processing—as a potentially important SAF feedstock, particularly when POME oil is recovered and converted via hydroprocessed esters and fatty acids (HEFA). Drawing on a qualitative literature review (QLR) and policy-document triangulation, this paper synthesizes the opportunity and challenge landscape for POME-based SAF in supporting global aviation decarbonization. The thematic findings emphasize (i) carbon-accounting advantages linked to residue classification and low default life-cycle emissions factors, (ii) Indonesia’s strategic potential as a large-scale residue-based SAF supplier, and (iii) governance requirements for credibility, including traceability, sustainability certification, and fuel accounting systems. Key challenges include supply-chain variability, measurement–reporting–verification (MRV) integrity risks, infrastructure and conversion constraints, and policy coordination across domestic allocation and trade. The paper concludes with policy recommendations focused on building trustworthy traceability and accounting architecture and aligning incentives to scale residue-based SAF without undermining broader sustainability expectations.

🔗 Provenance — このレコードを発見したソース

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。