Integrated BIM–LCA–optimization for decarbonizing curtain wall façades under carbon pricing uncertainty
不確実な炭素価格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、カーテンウォールファサードを対象に、BIM、LCA、最適化、不確実性解析を統合した設計ワークフローを開発した。決定論的最適化では、炭素価格が100-420 AUD/tCO2eの範囲で、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、ファサードのライフサイクル温暖化係数（LC-GWP）が380-400 kgCO2e/m²から270-300 kgCO2e/m²に削減される。モンテカルロシミュレーションにより、結果は価格経路の不確実性よりも炭素価格水準に大きく支配されることが確認された。
English
This study develops an integrated BIM-LCA-optimization workflow for curtain wall façades under carbon pricing uncertainty. Deterministic optimization shows that carbon prices of approximately 100-420 AUD/tCO2e shift optimal solutions from aluminum-intensive to timber-hybrid systems, reducing façade life-cycle global warming potential (LC-GWP) from 380-400 kgCO2e/m² to 270-300 kgCO2e/m² with modest cost increases. Monte Carlo simulations confirm that outcomes are governed by the carbon price level rather than price-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
日本では、建築物のライフサイクルカーボン評価や炭素価格制度の導入が検討されており、本ワークフローは設計初期段階で政策シナリオを反映する手法を提供する。オーストラリアの事例だが、日本でもEPDやデータベースを整備すれば応用可能であり、建物の脱炭素化と循環経済の統合に寄与する。
In the global GX context
This paper addresses the global push for embodied carbon regulation (e.g., EU taxonomy, California's Buy Clean) and carbon pricing as a driver for decarbonization in the building sector. It provides a practical workflow that links policy scenarios to early design decisions, demonstrating how carbon pricing can shift material choices toward more circular, lower-carbon solutions. The methodology is transferable to other regions adopting similar policies.
👥 読者別の含意
🔬研究者:The integrated BIM-LCA-optimization framework provides a reproducible methodology for studying carbon pricing impacts on building design, which can be extended to other building systems or regions.
🏢実務担当者:Design teams can use this workflow to test façade options under explicit carbon pricing scenarios, aligning concept-stage decisions with net-zero and circular-economy goals.
🏛政策担当者:The study illustrates how carbon price levels influence material choice and life-cycle emissions, offering evidence for designing effective carbon pricing policies in the building sector.
📄 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
- openalex https://doi.org/10.6084/m9.figshare.32032685first seen 2026-05-05 19:14:04
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。