Quantifying Value Chain Emissions: A Case Study at GKN Aerospace
バリューチェーン排出量の定量化:GKNエアロスペースの事例研究 (AI 翻訳)
S. Shoaib-ul-Hasan, Mohamed Rikaz Mohamed Ameer, Amal Valan Francis, J. Nylander, Shristi Ghosh, Kyriaki Kalaitzidou, Andrew Beyer, Eesha Bilal, Y. Glazer, Michael E. Webber, Aziz Ahmed, Alireza Boostan, K. Nguyen, P. Nguyen, Jojibabu Panta, Richard Yang, Tosin Famakinwa
🤖 gxceed AI 要約
日本語
本研究はGHGプロトコルに基づき、航空宇宙産業のスコープ3カテゴリ1(購入した製品・サービス)排出量を定量化。質量ベースと支出ベースの方法を比較し、後者が約3倍過大評価することを示した。さらに、付加製造(AM)の導入シナリオ分析により、2035年までに対象サイトの排出量を約18%削減可能と推定した。
English
This study quantifies Scope 3 Category 1 emissions (Purchased Goods and Services) for GKN Aerospace using the GHG Protocol. It compares mass-based and spend-based methods, finding spend-based overestimates by approximately a factor of three. Scenario analysis estimates that adopting additive manufacturing could reduce site-level PG&S emissions by about 18% by 2035.
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
本論文は航空宇宙産業のスコープ3算定手法を実例で示しており、日本の製造業(例:三菱重工業、IHI)にも応用可能。SSBJ開示基準におけるスコープ3対応の参考になる。
In the global GX context
This paper provides a rigorous, data-driven methodology for Scope 3 quantification and mitigation in a hard-to-abate sector, offering a replicable template for global manufacturing industries facing similar climate disclosure requirements under ISSB, CSRD, and SEC rules.
👥 読者別の含意
🔬研究者:A comparative analysis of mass-based vs. spend-based Scope 3 methods in aerospace, with scenario analysis for additive manufacturing adoption.
🏢実務担当者:A practical framework to quantify and reduce Scope 3 Category 1 emissions, including method selection guidance and mitigation pathways.
🏛政策担当者:Empirical evidence on the effectiveness of additive manufacturing for industrial decarbonization, supporting policy incentives for clean technology adoption.
📄 Abstract(原文)
Growing concerns over environmental degradation and global warming have compelled companies worldwide to take an active role in mitigating climate change. To develop effective climate change mitigation strategies, organizations must first assess their value chain emissions. The Greenhouse Gas (GHG) Protocol, developed by the World Resources Institute (WRI) and the World Business Council for Sustainable Development (WBCSD), provides a standardized framework for quantifying such emissions. It categorizes them into three scopes: direct emissions (Scope 1), indirect energy-related emissions (Scope 2), and other indirect value chain emissions (Scope 3). Scope 3 emissions often account for more than 75% of a company’s total footprint and in manufacturing sectors such as aerospace, they can exceed 90%, highlighting the need to prioritize Scope 3 in target setting and mitigation actions. This study focuses on quantifying Scope 3 Category 1 emissions, or Purchased Goods and Services(PG&S), within the aerospace sector using GKN Aerospace as a case study. These emissions arise from procured raw materials, components, and outsourced processes, many of which are energy-intensive. Two estimation methods were compared across 2022–2023 procurement data: mass-based and spend-based approaches. The results show that the spend-based approach tends to overestimate emissions by approximately a factor of three compared with the mass-based method. For 2023, mass-based accounting estimated Category 1 emissions at 0.012 MT CO₂eq for the focal site, with titanium and nickel alloys dominating the footprint, while process-level analysis identified forging as the principal emitter. To explore mitigation potential, scenario analyses were developed drawing on prior life cycle assessment (LCA) evidence comparing conventional manufacturing with additive manufacturing (AM). Based on realistic adoption projections, expert input, and internal roadmaps, the study estimates that approximately 22% of relevant production could transition to AM by 2035 at GKN Aerospace, resulting in an ~18% reduction in site-level PG&S emissions relative to a non-AM scenario. This quantification of value chain emissions provides a data driven decarbonization pathway for the aerospace sector centered on materials, processes, and the deployment of AM technologies.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.65569/wnun9524first seen 2026-05-05 21:58:28
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