Decarbonizing the Aerospace Scope 3 emissions with efficient data monitoring framework
効率的なデータ監視フレームワークによる航空宇宙Scope 3排出の脱炭素化 (AI 翻訳)
Prathaban Durai, Jagannath Nalavade
🤖 gxceed AI 要約
日本語
航空宇宙産業のScope 3排出を監視・管理するためのデータフレームワークを提案。ビッグデータ解析技術を用い、バッチ・リアルタイム入力に対応。航空会社が排出削減目標設定や戦略立案に活用可能。
English
Proposes a data monitoring framework for aerospace Scope 3 emissions using big data analytics, supporting batch and real-time inputs. Enables airlines to track emissions, set targets, and develop reduction strategies, providing insights for informed decisions.
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SSBJ開示基準が導入され、Scope 3算定が企業に求められる中、航空業界特有の排出データ管理は重要。本フレームワークは日本の航空会社の開示対応や排出削減戦略に示唆を与える。
In the global GX context
With ISSB and CSRD requiring Scope 3 disclosure, this framework offers a practical approach for the aerospace sector to manage emissions data, supporting global climate reporting and transition finance.
👥 読者別の含意
🔬研究者:航空Scope 3排出のデータ監視手法とビッグデータ適用の具体例として参考になる。
🏢実務担当者:自社の排出データ管理と開示対応に応用可能なフレームワークの知見を得られる。
🏛政策担当者:航空業界の排出削減政策や開示基準の策定に資するデータ基盤の重要性が示される。
📄 Abstract(原文)
Aerospace is one of the most difficult industries to decarbonize, contributing 2.5% of global CO2 emissions. Achieving climate-neutral operations is a common challenge faced due to principal factors such as scale, expenses, and legal hurdles of placing innovative technology in the air. Jet fuel is a cost-effective technology; however, a major drawback is the enormous amounts of carbon released from the fuel. It can be appreciated that calculating and then eliminating Scope 3 emissions is an arduous concept since it accounts for a larger amount of carbon footprint for most aerospace industries. In terms of the volume of Scope 3 emissions, there is a rising urgency to cut them and transition to more sustainable methods of flying.To support the Paris Agreement various research and studies have been conducted to discover the causes of Scope 3 emissions and to minimize the impact that is bringing to this environment, but there is no clear industry-wide framework for tracking Aerospace Scope 3 emissions overall. The aim of this research is to develop a single data monitoring framework to gather and make use of data from diverse streams of aircraft operations. The primary objective of our study is to choose the appropriate datasets for the various Scope 3 emissions from airplanes and include those datasets into our proposed methodology to create informative results and seek to minimize GHG emissions in the environment.We employ big data analytical technologies to accomplish the study objectives. Our model is created in such a way that allows it to adjust for both batch and real-time inputs. The paper also discusses the data architecture and evaluation metrics used to assess the effectiveness of the framework. Aerospace companies can use this framework to monitor and manage their emissions, set targets, and develop strategies to reduce their carbon footprint. The results show that the framework can provide valuable insights into emissions data and help stakeholders make informed decisions to reduce their environmental impact.
🔗 Provenance — このレコードを発見したソース
- openalex http://dx.doi.org/10.1109/dese60595.2023.10469041first seen 2026-08-02 16:55:04
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