高速道路建設における機械電動化の炭素排出量の不確実性と排出削減ポテンシャル
Uncertainty of carbon emissions and emission reduction potential of machinery electrification in expressway construction (原題)
Wei-Zheng Wang, Xiao-Chun Qin
🤖 gxceed AI 要約
日本語
高速道路建設のライフサイクル炭素排出を、β分布とペディグリー行列で不確実性評価しつつ算定した研究。資材生産段階が最大の排出源で不確実性も最大と示す。LEAPモデルで建設機械の電動化シナリオを分析し、施工期間中に約1.9万トン、全ライフサイクルで約2.7万トンの削減効果を試算した。
English
This study quantifies life-cycle carbon emissions of expressway construction, characterizing parameter uncertainty via beta distributions and a pedigree matrix. Material production dominates emissions and uncertainty. A LEAP model shows equipment electrification cuts construction-phase emissions by ~18,900 t and full-life-cycle emissions by ~26,900 t versus fossil-fueled equipment.
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
建設業のScope 3・資材由来排出の算定精度向上はSSBJ開示やサプライチェーン排出管理に直結する。電動建機の削減効果の定量化は、日本の建設GX・公共調達の脱炭素化検討に参考になる。
In the global GX context
Construction is a hard-to-abate sector where Scope 3 material emissions dominate; this work offers a replicable uncertainty-aware accounting method and quantifies electrification abatement potential relevant to CSRD/ISSB Scope 3 disclosure and green public procurement.
👥 読者別の含意
🔬研究者:LCAと不確実性評価、LEAPを組み合わせた建設分野の排出削減シナリオ分析手法として参考になる。
🏢実務担当者:建設会社の資材調達・建機電動化の投資判断やScope 3算定精度向上に活用できる。
🏛政策担当者:公共インフラ調達での建機電動化促進策や排出算定ガイドライン設計の根拠になりうる。
📄 Abstract（原文）
Aiming at the issues of impaired calculation accuracy caused by parameter uncertainty, lack of systematic quantitative analysis for key emission reduction link identification, and prominent research gaps in the emission reduction potential of construction equipment electrification in expressway construction period carbon emission accounting, this paper defines three core accounting stages (material production, on-site transportation, on-site construction) based on life cycle assessment (LCA) theory, adopts β distribution function combined with pedigree matrix to complete data quality assessment and scientific uncertainty characterization of core input parameters, uses Spearman’s rank correlation coefficient to conduct phased single-factor sensitivity analysis instead of the traditional holistic analysis approach, constructs a Long-range Energy Alternatives Planning (LEAP) model to quantify the emission reduction potential of multi-scenario electrification transformation of construction equipment for on-site transportation and on-site construction links with the highest project management initiative during construction, and conducts an empirical study with Guangxi Guihe Expressway as the engineering case. The results show that the average total carbon emission of the project during construction is 3.62×108 kg with a corresponding 95% confidence interval of [2.80×108, 4.45×108] kg; the material production stage is the core carbon emission source with an average emission of 3.45×108 kg and the most significant uncertainty; cement, 12t truck crane, and 0.6 m3 crawler excavator are the core sensitivity factors for material production, on-site transportation and on-site construction stages respectively; compared with the baseline scenario, the electrification transformation scenario achieves a cumulative carbon emission reduction of 18905.5 t during the construction period, and the full-life-cycle carbon emission of electrified equipment is 26875.23 t lower than that of traditional fossil energy- powered equipment, presenting a remarkable emission reduction effect.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1117/12.3130158first seen 2026-10-22 05:41:50 · last seen 2026-11-06 05:38:31
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