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低炭素建設のための煆焼粘土:製造技術が炭素フットプリントに与える影響

Calcined Clays for Low-Carbon Construction: Effects of Production Technology on Carbon Footprint (原題)

Cheng-Xuan Yu, Martin Mildner, Robert Černý, Jan Fořt

Buildings📚 査読済 / ジャーナル2026-09-07#炭素会計Origin: EU経営インパクト: コスト削減対象セクター: construction
DOI: 10.3390/buildings16173553
原典: https://doi.org/10.3390/buildings16173553

🤖 gxceed AI 要約

日本語

本研究は、メタカオリン製造のパラメータ化されたLCAインベントリを開発し、648シナリオで炭素フットプリントが34〜578 kg CO2e/tと大きく変動することを示した。燃料選択が主要因であり、LC3セメントやジオポリマーへの影響も定量化。設計者やLCA実務者に現実的なデータを提供する。

English

This study develops a parameterized LCA inventory for metakaolin production, showing carbon footprints ranging from 34 to 578 kg CO2e/t across 648 scenarios. Fuel choice is the main driver, and variability propagates to LC3 cement and geopolymers. Provides a practical framework for selecting low-carbon production routes in construction.

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

日本の建設業界では、カーボンニュートラル達成に向けて低炭素材料の導入が急務。本研究は、LC3セメントやジオポリマーの環境性能を正確に評価するための基盤を提供し、日本のLCA実務や環境製品宣言(EPD)の精度向上に寄与する。

In the global GX context

Globally, the cement industry faces pressure to reduce emissions. This study highlights the importance of accurate LCA data for low-carbon materials like LC3 and geopolymers, supporting credible environmental claims and aligning with ISSB and CSRD disclosure requirements.

👥 読者別の含意

🔬研究者:Provides a robust methodology for parameterized LCA of calcined clays, enabling more accurate environmental assessments.

🏢実務担当者:Helps material producers and designers select calcined clay production routes that meet carbon targets for concrete and other building products.

🏛政策担当者:Informs policy on low-carbon construction materials by highlighting the need for representative LCA data in regulations and standards.

📄 Abstract(原文)

Calcined clays are increasingly recognized as strategic supplementary cementitious materials for reducing clinker consumption and the environmental impacts of construction. However, life cycle assessments typically represent metakaolin production using a single carbon footprint value, despite substantial differences in calcination technology, energy supply, and feedstock characteristics. This study develops a parameterized cradle-to-gate carbon inventory for metakaolin production and evaluates how this variability affects the environmental assessment of low-carbon construction materials. The methodology combines process-based theoretical modeling, mass and energy balances, literature-derived industrial data, and life cycle assessment. A full-factorial scenario analysis was performed for three calcination technologies: rotary kiln, fluidized bed, and flash calcination, while systematically varying fuel source, electricity mix, kaolinite purity, feedstock moisture, and transport distance. The resulting inventories were subsequently propagated into representative LC3 cement and metakaolin-based geopolymer formulations to quantify their influence at the construction-material level. Across 648 production scenarios, the carbon footprint of metakaolin ranged from 34 to 578 kg CO2e t−1, demonstrating that production conditions define the environmental performance. Fuel selection was identified as the principal emission driver, while moisture content and feedstock purity produced secondary effects. The variability propagated to downstream products, resulting in carbon footprints of 363–527 kg CO2e t−1 for LC3 cement and 167–357 kg CO2e m−3 for metakaolin-based geopolymers despite identical material compositions. For the building sector, the proposed framework enables designers, material producers, and LCA practitioners to select calcined clay production routes consistent with the carbon targets of concrete, mortar, masonry, precast elements, and other cement-based building applications. It therefore provides a practical basis for incorporating LC3 and geopolymer technologies into lower-carbon building projects while avoiding environmental benefits based on non-representative upstream assumptions.

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