Study of Supercritical CO2 Pipeline Flow Leaks: Effects of Equation of State, Impurity, and Outlet Diameter
超臨界CO2パイプライン漏洩の研究：状態方程式、不純物、出口直径の影響 (AI 翻訳)
Krishna Kant, C. Habchi, Martha Hajiw-Riberaud, A. Afailal, J. de Hemptinne
🤖 gxceed AI 要約
日本語
本研究は、CCUS技術における超臨界CO2パイプラインの安全な輸送に関する課題に取り組み、不純物（N2、CH4、Ar）が漏洩時の流量や減圧波伝播に与える影響をCFDシミュレーションで解析した。実流体モデルを用いて実験データと良好な一致を示し、大規模パイプラインのベンチマークを提供する。
English
This study investigates supercritical CO2 pipeline leaks for CCUS, analyzing how impurities (N2, CH4, Ar) affect mass flow rate and decompression wave propagation using CFD. A real-fluid model validated against experiments provides insights for safe pipeline design and large-scale benchmarks.
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
日本はCCUSを2050年カーボンニュートラルの鍵と位置づけており、パイプライン安全基準の策定に資する。ただし本論文は技術詳細に特化し、日本の政策や規制との直接連携は示されていない。
In the global GX context
Global CCUS deployment hinges on safe CO2 transport. This paper provides critical CFD validation for pipeline leak scenarios, supporting engineering standards and risk assessment frameworks for carbon capture infrastructure worldwide.
👥 読者別の含意
🔬研究者:Demonstrates CFD methodology for multiphase CO2 flows with impurities, useful for further model development.
🏢実務担当者:Provides data for pipeline design and safety assessment under leakage conditions.
📄 Abstract（原文）
The growing need to mitigate climate change has accelerated the development of Carbon Capture, Utilization, and Storage (CCUS) technologies, where the safe transport of supercritical CO2 (sCO2) through pipelines is a key challenge. The flow behavior in such systems is strongly influenced by phase-change processes under transient conditions such as decompression and heat transfer and is further complicated by the presence of impurities (e.g., N2, CH4, and Ar). These impurities modify thermodynamic properties and phase boundaries, thereby affecting the overall flow dynamics. In this study, the influence of impurities on leakage, mass flow rate, and decompression wave propagation in sCO2 pipelines is investigated using computational fluid dynamics (CFD) simulations. A real-fluid model (RFM) implemented in the CONVERGE CFD solver is employed, with a tabulation-based approach to accurately capture thermodynamic and transport properties across multiphase regimes. The simulations were validated against available experimental data and performed for varying impurity concentrations to assess their impact on key flow variables, including pressure, temperature, and wave speed. Although simplifying assumptions were used, the results are in fairly good agreement with experimental observations and provide a better understanding of the phase behavior induced by impurities during transient decompression. Additionally, the effects of outlet geometry, pipeline configuration, and the choice of equation of state are examined, highlighting their influence on the predicted flow response. The validity of the RFM modeling framework is further demonstrated by simulations of a large-scale pipeline configuration representative of industrial conditions, which will serve as a benchmark for future improvements.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.3390/fluids11040096first seen 2026-05-06 00:02:40
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