Standardized framework for techno-economic assessment of heavy-duty vehicles: Insights from a state-of-the-art review
大型車両の技術経済評価のための標準化フレームワーク:最新レビューからの洞察 (AI 翻訳)
Trentalessandro Costantino, Xavier Guichet, Ezio Spessa
🤖 gxceed AI 要約
日本語
本レビューは、大型商用車のゼロエミッション技術(BEV、FCEV、水素ICE)のTCO評価における前提条件のばらつきとデータギャップを特定。購入コストやエネルギーキャリアコスト(特に水素)の影響を分析し、技術と経済性の公平な比較を可能にする標準化TCOフレームワークを提案。
English
This review identifies discrepancies in assumptions and data gaps in TCO studies for zero-emission heavy-duty vehicles (BEVs, FCEVs, H2-ICEs). It analyzes the variability of purchase and energy carrier costs—especially hydrogen—and proposes a standardized TCO framework for fair comparison, critical for accelerating fleet decarbonization.
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、日本で課題となっている大型商用車のゼロエミッション化に関し、物流事業者や政策担当者が投資判断を行う際のTCO評価手法を標準化する枠組みを提供する。日本の商用車メーカーや運輸業界の脱炭素戦略策定に示唆を与える。
In the global GX context
This paper contributes a standardized TCO methodology for comparing zero-emission heavy-duty vehicle technologies, addressing a critical gap in global climate policy. It provides a tool for policymakers and fleet operators to make informed decisions, supporting the transition to zero-emission transport in line with ISSB and TCFD expectations.
👥 読者別の含意
🔬研究者:Researchers gain a comprehensive overview of TCO assumption variability and a rigorous framework for future HDV techno-economic studies.
🏢実務担当者:Fleet operators can use the standardized TCO framework to compare total costs of competing zero-emission technologies under consistent assumptions.
🏛政策担当者:Policymakers can leverage the proposed framework to design effective incentives and regulations that reflect true cost competitiveness of zero-emission HDVs.
📄 Abstract(原文)
The growing demand for techno-economic evaluations in the heavy-duty vehicle (HDV) sector is reflected in the increasing number of recent publications. Driven by tightening global tailpipe emission targets, many studies focus on technologies that can achieve zero-tailpipe emissions, such as Battery Electric Vehicles, Fuel Cell Electric Vehicles, and Hydrogen Internal Combustion Engine Vehicles, often comparing them with conventional Diesel Internal Combustion Engine Vehicles. However, comparing results across studies remains challenging due to varying assumptions that can drastically alter outcomes. This underscores the need for a standardized methodology to ensure fair and consistent comparisons of these technologies, integrating both technological and economic factors. This review identifies key discrepancies in assumptions and significant data gaps, particularly in residual values and operational costs. We also examine the most influential cost components within Total Cost of Ownership (TCO) and their wide variability across studies. Specifically, purchase cost represents a significant portion of TCO, with large variations across the studies. Additionally, energy carrier cost, particularly for hydrogen-fueled vehicles, is a major operational expense, often influenced by assumptions regarding both energy consumption and energy carrier prices. In this study we also propose the rationale for a standardized TCO framework that can be applied across different HDV technologies, enabling fair comparisons that account for both technical performance and economic viability. Our findings aim to empower fleet operators, researchers, and policymakers with the insights needed to make informed decisions, even if the approach is focused on the fleet operator point of view. This is essential for accelerating the transition to zero-emission HDVs and achieving global climate goals in a fair and sustainable way. • Identifies discrepancies in assumptions and key data gaps in TCO studies. • Highlights the variability of purchase costs and energy carrier costs in HDVs and their impact on TCO. • Proposes a standardized TCO framework for fair comparison of HDV alternative technologies.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.apenergy.2026.127883first seen 2026-05-15 16:54:11
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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。