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From Brownfields to Low-Carbon Cities: A Methodological Framework for the Sustainable Renovation of Industrial Buildings and Their Envelopes

ブラウンフィールドから低炭素都市へ:産業建築物とその外皮の持続可能な改修のための方法論的フレームワーク (AI 翻訳)

Hamed Afsoosbiria, Darja Kubečková

Buildings📚 査読済 / ジャーナル2026-04-23#省エネOrigin: EU
DOI: 10.3390/buildings16091662
原典: https://doi.org/10.3390/buildings16091662
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🤖 gxceed AI 要約

日本語

本研究は、産業建築物の改修における多層壁システムの評価・最適化のための統合的方法論的フレームワークを開発した。6つの壁構成を熱、環境、耐久性の観点から評価した結果、断熱性能が大幅に向上し、FC-EPSR構成が最もバランスの取れた性能を示した。LCAでは、最適化された壁構成が基準比で運用炭素を含む総排出量を86%以上削減できることが示された。これらの知見は、欧州のカーボンニュートラル目標と循環経済を支援する。

English

This study develops an integrated methodological framework for assessing and optimizing multilayer wall systems in industrial building renovations. Six wall configurations were evaluated; the FC-EPSR wall achieved the best balance of thermal performance, durability, and carbon reduction. Life cycle assessment shows optimized walls can reduce total emissions (including operational) by over 86% compared to the reference. The findings support European carbon neutrality and circular economy goals.

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

日本でも老朽化した産業建築物の省エネ改修はカーボンニュートラル達成に重要であり、本フレームワークは壁改修の選択肢を提供する。特にLCAを用いた炭素排出量評価は、日本の建築物ライフサイクル評価基準にも示唆を与える。

In the global GX context

This paper aligns with the EU's Renovation Wave and decarbonization strategy, providing a replicable methodology for industrial building envelope retrofits. The multi-criteria evaluation approach, including thermal, hygrothermal, and LCA analysis, offers a template for other regions aiming to improve building energy performance and reduce embodied carbon.

👥 読者別の含意

🔬研究者:Building scientists and LCA researchers can adopt the multi-criteria evaluation framework for similar retrofit studies.

🏢実務担当者:Construction and renovation firms can use the wall configuration insights to design energy-efficient retrofits for industrial buildings.

🏛政策担当者:Policymakers can reference the methodology and performance benchmarks when updating building energy codes or retrofit incentive programs.

📄 Abstract(原文)

The sustainable renovation of ageing industrial buildings presents both a challenge and an opportunity to enhance energy efficiency while preserving architectural and structural integrity. This study develops an integrated methodological framework for assessing and optimising multilayer wall systems in such conversions, combining thermal, environmental, and durability analyses. Six composite wall configurations were designed and numerically evaluated using steady-state 2D heat conduction and vapour-diffusion models. The results reveal substantial thermal improvement compared to the reference uninsulated brick wall (U = 1.41 W/m2·K). The proposed systems achieved U-values between 0.351 and 0.172 W/m2·K, meeting or surpassing European energy standards. The BP–EPS wall exhibited the lowest U-value (0.172 W/m2·K), while the FC–EPSR configuration achieved superior corner performance with a 2D surface temperature (Tsi) of 17.99 °C and the highest surface temperature factor (fRsi = 0.943), along with a reduced condensation risk, indicating more balanced overall performance. Weight and thickness reductions of up to 80.5% and 52%, respectively, were observed, enhancing retrofit feasibility and space efficiency. Life Cycle Assessment results indicated that optimised wall configurations reduced embodied carbon (A1–A3) by up to 78% and total life cycle emissions (A1–A3 + B6) by over 86% relative to the reference case. Vapour-diffusion analysis confirmed the FC–EPSR wall’s lowest condensation fraction, indicating excellent hygrothermal durability. Multi-criteria evaluation using the simple additive weighting method and Monte Carlo robustness analysis verified FC–EPSR as the most balanced and reliable system. Overall, the findings present a validated and replicable pathway for the sustainable renovation of industrial buildings, supporting the goals of European carbon neutrality and the circular economy.

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