Integrated BIM–LCA–optimization for decarbonizing curtain wall façades under carbon pricing uncertainty
不確実な炭素価格の下でのカーテンウォールファサードの脱炭素化のための統合BIM-LCA-最適化 (AI 翻訳)
Maedeh Motalebi, Matthias Irger, Joanne Andrade, Timothy McCarthy, Emma Heffernan, Samin Marzban, Ali Rashidi
🤖 gxceed AI 要約
日本語
本研究は、BIM、ライフサイクル炭素評価、最適化を統合したカーテンウォールファサードの設計初期段階のワークフローを開発した。オーストラリアのEPDデータを用いた最適化では、炭素価格が100～420AUD/tCO2eで、アルミニウム主体から木質ハイブリッドシステムへ最適解が移行し、LC-GWPを約30%削減できることが示された。モンテカルロシミュレーションにより、結果は炭素価格水準に大きく依存し、価格経路の不確実性の影響は限定的であることが確認された。
English
This paper develops an integrated BIM-LCA-optimization workflow for early-stage curtain wall façade design under carbon pricing uncertainty. Using Australian EPD data, deterministic optimization shows that carbon prices of 100-420 AUD/tCO2e shift optimal solutions from aluminum to timber-hybrid systems, reducing life-cycle GWP by ~30% with modest cost increases. Monte Carlo simulations confirm that outcomes are governed by carbon price level rather than path uncertainty.
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GX実践において、本ワークフローは日本のEPDデータや炭素価格シナリオ（例：GXリーグ）に適用可能であり、初期設計段階での脱炭素化判断を支援する。特に、カーボンプライシングが建材選択に与える影響を定量的に評価する手法として有用である。
In the global GX context
This paper provides a practical tool for integrating carbon pricing into early design decisions, directly relevant to jurisdictions implementing embodied carbon caps (e.g., EU, France, UK). The workflow demonstrates how policy signals can shift material choices, supporting alignment with net-zero goals.
👥 読者別の含意
🔬研究者:The stochastic optimization framework under carbon price uncertainty offers a novel methodological contribution for building LCA.
🏢実務担当者:Design teams can use this workflow to test façade options against explicit carbon pricing scenarios, supporting low-carbon material selection.
🏛政策担当者:The study quantifies the carbon price threshold needed to incentivize circularity, informing policy design for embodied carbon reduction.
📄 Abstract（原文）
Curtain wall façades contribute substantially to upfront embodied carbon in new buildings, and early design choices constrain long-term decarbonization options. Many jurisdictions are introducing embodied-carbon caps or carbon pricing; designers still lack tools that link these policy drivers to early façade decisions. This study develops an integrated concept-stage workflow linking BIM-based curtain wall modelling, life-cycle carbon assessment, a façade circularity indicator, discounted life-cycle costing, deterministic optimization and Monte Carlo uncertainty analysis. Façade quantities were derived from eight curtain wall panel models in Autodesk Revit, embodied-carbon factors from Australian Environmental Product Declarations (EPD) and the Environmental Performance in Construction (EPiC) database in One Click LCA, and private-cost from the project’s dataset and normalized to AUD/m². Deterministic optimization indicates that carbon prices of approximately 100–420 AUD/tCO₂e shift optimal solutions from aluminium-intensive to higher-circularity timber-hybrid systems, reducing façade life cycle global warming potential (LC-GWP) from approximately 380–400 kgCO₂e/m² to 270–300 kgCO₂e/m² with modest cost increases. Monte Carlo simulations confirm that outcomes are largely governed by the carbon price level rather than price-path uncertainty, with limited cost risk. The workflow enables design teams to test façade options under explicit policy scenarios and align concept-stage decisions with net-zero and circular-economy goals.
🔗 Provenance — このレコードを発見したソース
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。