グリーン舶用燃料の技術機会特定：BERTopicによる特許マイニング研究
Technological opportunity identification for green marine fuels: a BERTopic-based patent mining study (原題)
Zhu-Hao Li, Guang-Nian Xiao, S. A. Biancardo, Min Zhang, Tian Wang
🤖 gxceed AI 要約
日本語
本研究はデルウェント特許ファミリー4,471件（2000〜2025年）をBERTopicで意味解析し、水素・アンモニア・LNG・メタノール・バイオ燃料の5つのグリーン舶用燃料のイノベーションクラスターを比較した。水素は研究フロンティアと特許活動の一致が最も強く、アンモニアとメタノールは近年のフロンティア信号と後発的特許成長を示す。技術機会は燃料固有の経路と、船上貯蔵・燃料供給・排出制御・船全体のエネルギー管理といった燃料横断的共通モジュールに集中する。
English
Using BERTopic semantic mining of 4,471 Derwent patent families (2000–2025) plus 955 Web of Science publications, this study maps innovation clusters across five green marine fuels: hydrogen, ammonia, LNG, methanol, and biofuels. Hydrogen shows the strongest alignment between research frontier and sustained patenting; ammonia and methanol show recent frontier signals and late-stage patent growth, while LNG and biofuels reflect transitional accumulation. Opportunities concentrate in fuel-specific pathways and cross-fuel modules—onboard storage, fuel supply, emissions control, and ship-wide energy management.
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
海運の脱炭素は日本にとって国際海運・造船・舶用機器産業の競争力と直結し、IMO規制やカーボンプライシング対応の技術戦略に資する。特許・文献の二軸分析は、企業のR&D投資判断や技術ポートフォリオ開示の根拠として活用できる。
In the global GX context
As IMO decarbonization rules and shipping's inclusion in carbon pricing advance, patent-validated technology-opportunity mapping supports transition planning and R&D prioritization for maritime decarbonization. It complements disclosure scholarship by linking innovation evidence to transition-strategy narratives under TCFD/ISSB.
👥 読者別の含意
🔬研究者:特許と文献を組み合わせた燃料別イノベーション機会の定量マッピング手法として、エネルギー転換研究の分析枠組みを提供する。
🏢実務担当者:舶用燃料の技術機会と共通モジュールを把握し、R&D投資やサプライチェーン戦略、トランジション計画の根拠にできる。
🏛政策担当者:海運脱炭素の技術支援・規制設計において、燃料別の重点領域と共通基盤技術への投資配分を検討する材料になる。
📄 Abstract（原文）
As shipping decarbonization research shifts from evaluating fuel emission-reduction potential to identifying deployment bottlenecks, more robust empirical evidence is urgently needed to characterize ship-level industrial innovation. This study takes patent mining as the core analytical basis to identify innovation clusters and compare five green marine alternative fuel pathways: hydrogen, ammonia, liquefied natural gas (LNG), methanol, and biofuels. Based on 4,471 Derwent Innovations Index patent families covering 2000–2025, we employ BERTopic-based semantic mining to extract patent topics, fuel-specific innovation directions, and cross-fuel engineering modules. Meanwhile, 955 Web of Science core publications are utilized to construct the literature-frontier dimension of the analytical framework via keyword timeline and burst analyses, which lays a foundation for the subsequent literature–patent positioning of fuel development patterns. Hydrogen exhibits the strongest consistency between frontier research attention and sustained patent activity. Ammonia and methanol present remarkable recent frontier signals and late-stage patent growth, while LNG and biofuels mainly reflect transitional or continuity-oriented technological accumulation. Further patent-mining findings demonstrate that hydrogen innovation concentrates on fuel-cell conversion, energy management, and hybrid-power integration; ammonia and methanol technological opportunities focus on storage, supply, safety, and ship–fuel interfaces; LNG innovation centers on cryogenic storage and pressure management; and biofuel patents prioritize upstream feedstocks and renewable liquid-fuel production. Overall, technological opportunities are concentrated in both fuel-specific pathways and cross-fuel generic modules, especially onboard storage, fuel supply, emissions control, and ship-wide energy management. This study establishes a patent-validated approach to identifying differentiated technological opportunities, providing empirical support for targeted and efficient maritime decarbonization innovation strategies.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://www.frontiersin.org/journals/marine-science/articles/10.3389/fmars.2026.1898136/pdffirst seen 2026-10-27 05:14:15 · last seen 2026-11-06 05:14:45
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