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A CFD-Integrated Parametric Framework for Evaluating Passive Carbon-Capture Enclosure Performance

受動的炭素回収エンクロージャ性能評価のためのCFD統合パラメトリックフレームワーク (AI 翻訳)

Md Shariful Alam, Narjes Abbasabadi

Architecture📚 査読済 / ジャーナル2026-04-20#CCUSOrigin: US
DOI: 10.3390/architecture6020065
原典: https://doi.org/10.3390/architecture6020065

🤖 gxceed AI 要約

日本語

本研究は、建築設計に直接空気炭素回収（DAC）を組み込むための計算フレームワークを提案する。Rhino3D/ Grasshopper上でCFDシミュレーションを活用し、質量流量を指標として建物外皮形状が炭素吸収に与える影響を評価。実証実験により、ファサード回転が質量流量を最大96.5%変化させること、季節風変動により1月8.5kg/sから5月169.5kg/sまで変動することを確認した。

English

This study proposes a computational framework to integrate direct air carbon capture (DAC) into building design. Using CFD simulation on Rhino3D/Grasshopper, it evaluates how building enclosure geometry affects carbon absorption, using mass-flow rate as a proxy. Results show facade rotation can change mass flow by up to 96.5%, and seasonal wind variability causes airflow to range from 8.5 kg/s in January to 169.5 kg/s in May in Seattle.

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ZEBや省エネ建築が進むが、建築外皮による受動的炭素回収は新領域。本フレームワークは、気候風土に応じた設計最適化の可能性を示し、日本の建築GXに新たな視点を提供する。

In the global GX context

This paper bridges architectural design and carbon capture engineering, offering a novel approach to passive DAC integration. Globally, it provides a performance-driven design framework that could inform building-scale climate mitigation strategies, complementing active carbon capture technologies.

👥 読者別の含意

🔬研究者:Researchers in building science and carbon capture can adopt the parametric CFD framework for further validation and optimization of passive DAC systems.

🏢実務担当者:Architects and sustainable design teams can use the framework during early-stage design to assess enclosure geometry's impact on carbon capture potential.

📄 Abstract（原文）

Integrating direct air carbon capture (DAC) into buildings offers a promising pathway for reducing atmospheric CO2, yet the role of architectural design in enhancing passive carbon-capture performance remains underexplored. This study presents a computational framework developed to optimize architectural design and enclosure geometry for enhanced passive airflow, using mass-flow rate as a proxy for the comparative assessment of carbon absorption potential. Implemented within Rhino3D and Grasshopper using Ladybug and Eddy3D, the workflow integrates weather data and CFD simulation to compute segmented mass-flow rates through stacked capture trays. The framework simplifies traditionally complex CFD processes by introducing a custom segmented mass-flow calculation approach that enables comparative performance assessment during early-stage design. Results confirm the validity of the proposed workflow, revealing that façade rotation can modify total mass flow by up to 96.5%; seasonal wind variability can cause airflow to range from approximately 8.5 kg/s in January to 169.5 kg/s in May in Seattle. Spatial configuration can alter airflow by up to an order of magnitude and introduce substantial spatial heterogeneity within capture zones. This research establishes a performance-driven design framework that enables architectural geometry to actively enhance passive carbon-capture integration, positioning building design as a measurable contributor to climate mitigation strategies. Ultimately, this work bridges architectural design and carbon-capture engineering, supporting interdisciplinary approaches to scalable, climate-responsive building systems.

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