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A biocultural pathway to carbon-negative schools: A neurocognitive-validated framework integrating heritage preservation and energy innovation

カーボンネガティブスクールへの生物文化経路:文化遺産保存とエネルギー革新を統合する神経認知検証済みフレームワーク (AI 翻訳)

Yue Lyu

Building Engineering📚 査読済 / ジャーナル2026-03-29#エネルギー転換Origin: CN経営インパクト: コスト削減対象セクター: construction
DOI: 10.59400/be4020
原典: https://ojs.acad-pub.com/index.php/BE/article/download/4020/1763
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🤖 gxceed AI 要約

日本語

本研究は、生物文化的遺産保存と深い脱炭素化を両立するため、神経認知・文化的エントロピーフレームワーク(LSF)を提案。明代の煉瓦組積をロボットで再現し、文化エントロピー偏差ΔH=0.03ビットを達成。BIPV発電量11.3%向上、扁桃体活性化21.3%増加、照明エネルギー消費62.1%削減。中国初のGB/T 51350-2019クラスIキャンパスで実証し、正味カーボン強度−14.24 kgCO₂e/m²/年を達成。亜熱帯湿潤地域への転用指標Ψ=0.89。

English

This study proposes a neurocognitive-cultural entropy framework (LSF) to reconcile deep decarbonization with biocultural heritage preservation. By robotically replicating Ming-era masonry, it achieves minimal cultural entropy deviation (ΔH=0.03 bits). The framework boosts BIPV yield by 11.3%, increases amygdala activation by 21.3%, and reduces lighting energy use by 62.1%. Deployed at China's first GB/T 51350-2019 Class I campus, it attains a net-negative carbon intensity of -14.24 kgCO₂e/m²/yr. With a transferability index of 0.89 across humid subtropical zones, it offers a replicable blueprint for 1.2 million schools globally.

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

日本の学校建築や文化財保存建築物での脱炭素改修に応用可能。特に、伝統的木造建築と現代の省エネ技術の融合に課題を抱える日本にとって、本フレームワークは文化的価値を損なわずにカーボンネガティブを達成する方法論を提供する。SSBJやZEB基準の強化にも寄与する可能性がある。

In the global GX context

This framework addresses a key global challenge: decarbonizing public buildings while preserving cultural heritage. Its demonstrated net-negative performance surpasses leading benchmarks like Brattørkaia Powerhouse and NUS SDE 1&3, making it relevant for ISSB-aligned climate transition plans and net-zero building policies. The replicability index (Ψ=0.89) suggests adaptability to humid subtropical climates worldwide, including parts of Japan, China, and the US.

👥 読者別の含意

🔬研究者:The LSF framework provides a novel methodology for integrating heritage preservation with decarbonization, validated through neurocognitive metrics and transferability analysis.

🏢実務担当者:This offers a replicable blueprint for school building retrofits that achieve net-negative carbon while respecting cultural heritage, with clear performance data and risk mitigation strategies.

🏛政策担当者:The results support policies that prioritize biocultural approaches to decarbonization, demonstrating that carbon-negative public buildings are feasible without sacrificing heritage.

📄 Abstract(原文)

Semi-urban public buildings face a critical challenge in reconciling deep decarbonization with biocultural heritage preservation, a dilemma exacerbated by rural grid fragility and behavioral barriers. This study pioneers a neurocognitive-cultural entropy framework (Locality-Small Scale-Flexibility (LSF)) to resolve this conflict. The LSF establishes unprecedented synergies by robotically replicating Ming-era masonry, achieving minimal cultural entropy deviation (ΔH = 0.03 bits, p < 0.001)—a metric quantifying information loss in heritage feature transfer, where lower values indicate higher authenticity—and high structural similarity (Structural Similarity Index Measure (SSIM) = 0.93). The framework delivers dual breakthroughs: (1) Biocultural-Energy Transduction: Heritage-optimized photon vectors elevate building-integrated photovoltaics (BIPV) yield by 11.3%, while evoking a 21.3% increase in amygdala activation (t(31) = 4.2) that correlates with a 62.1 ± 0.8% reduction in lighting energy use intensity (EUI) (r = 0.82). (2) Systemic Non-Additivity: A synergy factor of Γ = −35.9 ± 0.07% (p < 0.001) integrates AI-driven renewables (1.29 GWh·yr−1, exceeding national thresholds by 61 ± 3%) and circular material systems (60.5 ± 2.0% embodied carbon reduction via 1,200 t of industrial byproducts). Deployed at China's first GB/T 51350-2019 Class I campus (18,700 m2), the LSF attains a net-negative carbon intensity of −14.24 kgCO₂e·m−2·yr−1. This performance surpasses the Brattørkaia Powerhouse (−8.7 kgCO₂e·m−2·yr−1) in grid resilience and the buildings at the National University of Singapore (NUS SDE) 1&3 in EUI reduction (85.3% vs. 80%). With a transferability index of Ψ = 0.89 across humid subtropical zones, this work provides a replicable blueprint for 1.2 million semi-urban schools globally, transforming cultural landscapes into carbon-negative civilization catalysts.

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