The role of turbulence in climate mitigation and sustainable engineering
乱流が気候変動緩和と持続可能な工学に果たす役割 (AI 翻訳)
Hoyas Sergio, Vinuesa Ricardo
🤖 gxceed AI 要約
日本語
本論文は、乱流に起因する非効率性が温室効果ガス排出の大きな要因であるとし、乱流の予測と制御の改善により最大で年間6ギガトンCO2相当（世界排出量の約10%）の削減が可能であることを示す。乱流はエネルギー損失の主要な物理メカニズムであり、その理解と応用が気候変動緩和に貢献する。
English
This paper quantifies the global emission reduction potential from turbulence-informed design, estimating up to 6 GtCO2-eq per year (10% of global emissions). It highlights that turbulence-related inefficiencies in transport, energy conversion, and industrial processes are a key driver of energy losses. Improving turbulence prediction and control offers a scalable pathway to enhance energy efficiency and mitigate climate change.
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
日本ではエネルギー効率改善がGXの重要な柱であり、本論文は乱流という物理現象に着目した新たな削減ポテンシャルを定量的に示している。日本の製造業や運輸部門における技術開発に示唆を与える。
In the global GX context
This paper offers a novel perspective on climate mitigation by linking turbulence science to global emission reduction potentials. It underscores the importance of engineering-based efficiency improvements as a complement to policy and carbon pricing mechanisms. The findings are relevant for global efforts to enhance energy efficiency across transportation, energy, and industrial sectors.
👥 読者別の含意
🔬研究者:This paper provides quantitative evidence of the climate mitigation potential from turbulence control, opening new research directions at the intersection of fluid dynamics and decarbonization.
🏢実務担当者:Engineers and R&D teams in transportation, energy, and industrial sectors can use these estimates to prioritize turbulence-informed design changes.
🏛政策担当者:Policymakers should recognize the significant emission reduction potential from funding research in turbulence prediction and control as part of climate technology portfolios.
📄 Abstract（原文）
• Turbulence-related inefficiencies contribute significantly to greenhouse gas emissions. • Turbulence-informed design could reduce emissions by up to 6 GtCO?-eq per year ( 10% of global emissions). • Improving turbulence prediction and control offers a scalable pathway to enhance energy efficiency across many technologies. Most fluid flows encountered in engineering and nature are turbulent. Turbulence governs processes such as drag, mixing, and heat transfer, which determine the efficiency of many technologies that dominate global energy use, including transport systems, energy conversion devices, and industrial fluid networks. The energy losses associated with these turbulent processes ultimately translate into greenhouse gas emissions. Using 2019 emissions as a reference and estimates reported in the turbulence and energy literature, we show that turbulence-informed design and operation could reduce emissions by up to about 6 GtCO 2 -eq per year, close to 10% of current global emissions. In this sense, turbulence is not only a long-standing scientific challenge but also a key physical mechanism behind a large fraction of the energy losses that drive climate change.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.rineng.2026.110666first seen 2026-05-05 19:40:44
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。