Spatiotemporal ship carbon emission exploitation and low-carbon shipping pathway evaluation
船舶の時空間炭素排出解析と低炭素海運経路の評価 (AI 翻訳)
Xinqiang Chen, Y Zhang, Zhen Feng, Haitao Zhang, Salvatore Antonio Biancardo, Wen‐Long Shang
🤖 gxceed AI 要約
日本語
本研究は、マルチソースの海事データを統合し、出力ベース法と空間配分モデルを用いて、全運航サイクルにわたる高解像度の船舶CO2排出インベントリを構築した。非寄港船の排出が全体の9%を占めることを明らかにし、運航最適化とエネルギー転換シナリオの評価を通じて、Virtual Arrival政策の効果とシステム的な深層脱炭素化にはエネルギー代替が不可欠であることを示した。
English
This study integrates multi-source maritime data and uses a power-based method to construct a high-resolution spatiotemporal inventory of ship carbon emissions over complete operational cycles. It reveals that emissions from non-calling vessels account for nearly 9% of total emissions. Scenario evaluations show that the Virtual Arrival policy effectively reduces anchorage emissions, but deep decarbonization requires comprehensive energy substitution.
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
本論文は、日本においても重要な海運分野の排出実態把握と脱炭素経路の評価に貢献する。特に非寄港船の排出管理やVirtual Arrivalの効果は、港湾管理者や海運企業にとって実践的な示唆を与える。
In the global GX context
This paper provides a high-resolution emission inventory and scenario analysis for shipping decarbonization, relevant to global efforts under IMO. The findings on non-calling vessels and operational strategies offer practical insights for port authorities and shipping companies worldwide.
👥 読者別の含意
🔬研究者:Provides a methodological framework for building high-resolution ship emission inventories and evaluating decarbonization scenarios.
🏢実務担当者:Shipping companies and port operators can use the findings to optimize operations (e.g., Virtual Arrival) and plan energy transitions.
🏛政策担当者:Informs IMO and national regulators on emission sources and reduction potential of different strategies.
📄 Abstract（原文）
Against the background of the global low-carbon transition in the transportation sector, greenhouse gas (GHG) emissions from the maritime industry pose a significant challenge to achieving the sector's decarbonization goals. Accurately quantifying and characterizing these emissions is a fundamental prerequisite for formulating effective emission reduction strategies. This study integrates multi-source maritime data and employs a power-based method and a combined spatial allocation model to construct a high-resolution spatiotemporal inventory of ship carbon footprints across complete operational cycles. Notably, the inventory accounts for non-calling vessels that anchor but ultimately depart without berthing. Furthermore, this study constructs multiple emission reduction scenarios from the dual dimensions of operational optimization and energy technology upgrades to comprehensively evaluate the decarbonization potential and emission reduction effectiveness of various strategies. The results indicate that significant disparities in emission profiles between the two studied ports stem from differences in arriving vessel types and operational modes. Emissions from non-calling vessels reached 46,843 tons, accounting for nearly 9% of total emissions in the study area, making their management an indispensable component of carbon governance within the port district. Scenario evaluations demonstrate that the Virtual Arrival policy effectively reduces anchorage emissions from tramp ships, but achieving systemic deep decarbonization fundamentally relies on comprehensive energy substitution. These findings provide a practical scientific basis for advancing green shipping.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.apenergy.2026.128334first seen 2026-07-02 05:33:24
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