A Life Cycle Assessment Based Computational Framework for Inland CO₂ Transportation by Trucks
トラックによる内陸CO2輸送のライフサイクルアセスメントに基づく計算フレームワーク (AI 翻訳)
Mikus Dzenis, Beate Zlaugotne, J. Gušča
🤖 gxceed AI 要約
日本語
本研究は、セメント工場から回収したCO2をトラックで港湾まで輸送する3シナリオをLCAで評価。ラトビアの事例を基に、燃料種や車両技術の感度分析も実施。CCUSバリューチェーン全体の正味CO2削減を定量化する手法を提案。
English
This study develops an LCA-based computational framework for CO2 transport by trucks from a cement plant to ports in Latvia and Lithuania. It evaluates three scenarios and includes sensitivity analysis on fuel types and vehicle technologies. The work quantifies net CO2 reduction across the CCUS supply chain.
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CCUSの実証が進むが、国内のCO2輸送は船舶やパイプラインが主。本論文のLCA手法は、日本でのトラック輸送を含む小規模・分散型CCUSの環境影響評価に応用可能。
In the global GX context
This paper provides a rigorous LCA methodology for truck-based CO2 transport, relevant for early-stage CCUS projects where pipeline infrastructure is absent. It contributes to the global discussion on net-negative emissions accounting in CCUS chains.
👥 読者別の含意
🔬研究者:LCA手法と感度分析はCCUS研究者に参考となる。
🏢実務担当者:CCUSプロジェクトの輸送計画におけるCO2排出量見積もりに活用可能。
🏛政策担当者:CCUS補助金の効果検証や排出削減量算定の基礎資料として有用。
📄 Abstract（原文）
Achieving net-zero emissions targets for industries (especially hard-to-abate) has positioned carbon capture, utilization and storage (CCUS) as emerging CO2 reduction technology in Europe with rapid growth of research and pilot projects in recent years. The scope of ongoing CCUS projects is expanding to include both CO₂ utilization as a feedstock for industrial applications (including chemicals, steel, construction, textiles, energy storage and renewable energy sectors) and CO₂ geological storage. In the context of geological storage in the Nordic–Baltic region, a significant initiative in this context is the actively developing “Northern Lights” project. Despite the promising potential of CCUS for mitigating CO₂ emissions, the CO₂ reduction potential across the entire supply chain must be clearly defined to ensure a cumulative net reduction. Specifically, the balance of stored or utilized CO₂ should be genuinely negative after accounting for the CO₂ emissions generated within the CCUS supply chain itself. One of the methodological tools employed to address this issue is life cycle assessment (LCA). Within the scope of the present research, an LCA-based computational framework for the transportation of CO₂ captured from industrial sources is developed. A case study is conducted for Latvia, where the source of captured CO₂ is a local cement producer. The captured CO₂ is transported under three alternative scenarios to the ports of Liepaja and Ventspils in Latvia, and to the port of Klaipeda in Lithuania, for subsequent marine transportation to offshore geological storage. In addition, the study is supplemented by a sensitivity analysis addressing transport-related parameters, including fuel types, vehicle technologies and CO₂ flow specifics.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.7250/conect.2026.044first seen 2026-05-15 17:00:44
🔔 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。