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Research on Optimization Combination of Heat Transfer Coefficient and Solar Heat Gain Coefficient of Plastic Doors and Windows in Frigid Regions and Carbon Reduction Pathways under the Target of Ultra-Low Energy Consumption

寒冷地におけるプラスチック製ドア・窓の熱貫流率と日射熱取得率の最適組み合わせと超低エネルギー消費目標下での炭素削減経路に関する研究 (AI 翻訳)

M. Zhang

Advanced Electromagnetics📚 査読済 / ジャーナル2026-08-13#省エネOrigin: CN経営インパクト: コスト削減対象セクター: construction
DOI: 10.7716/aem.v15i3.3671
原典: https://doi.org/10.7716/aem.v15i3.3671

🤖 gxceed AI 要約

日本語

寒冷地の超低エネルギー建築において、樹脂製ドア・窓の熱貫流率(U値)と日射熱取得率(SHGC)の最適組み合わせを、遺伝的アルゴリズムと重み付きエントロピー法を用いた多目的最適化により導出。動的負荷計算とライフサイクル炭素排出を統合し、U=0.70-0.80 W/(m2・K)、SHGC=0.45-0.50の最適範囲を特定。これによりライフサイクル炭素排出を24.8から19.9 kgCO2e/(m2・a)へ、ピーク暖房負荷を38.4から31.6 W/m2へ削減できることを示した。

English

This study optimizes the combination of U-value and solar heat gain coefficient (SHGC) for plastic doors and windows in ultra-low energy buildings in frigid regions. Using a genetic algorithm and weighted entropy method within a multi-objective framework that integrates dynamic load calculations and life-cycle carbon emissions, it identifies an optimal range of U=0.70-0.80 W/(m2·K) and SHGC=0.45-0.50, reducing life-cycle carbon emissions from 24.8 to 19.9 kgCO2e/(m2·a) and peak heating load from 38.4 to 31.6 W/m2.

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

日本の寒冷地(北海道など)におけるZEH・省エネ基準の強化に資する。窓・ドアの仕様選定における炭素削減効果の定量化は、SSBJ開示や建物の脱炭素施策に有用な知見を提供する。

In the global GX context

This research contributes to global efforts on building energy efficiency and carbon reduction, particularly relevant for cold climates. The optimization framework for envelope parameters can inform building codes and standards, aligning with international sustainability goals and disclosure frameworks like TCFD and ISSB.

👥 読者別の含意

🔬研究者:Provides a methodological framework for multi-objective optimization of building envelope parameters considering life-cycle carbon emissions.

🏢実務担当者:Offers practical guidance for selecting window and door specifications to achieve ultra-low energy consumption and carbon reduction in cold regions.

🏛政策担当者:Informs building energy codes and standards for cold climates, supporting national carbon reduction targets.

📄 Abstract(原文)

In ultra-low energy buildings in frigid regions, plastic doors and windows must simultaneously reduce heat transfer coefficients and optimize solar heat gain coefficients to balance heating demand and carbon reduction objectives. Since solar radiation is fundamentally governed by electromagnetic wave transmission and energy conversion processes, optimizing envelope parameters for efficient electromagnetic energy utilization has become increasingly important in sustainable building engineering. To address the conflict between energy consumption and carbon reduction, this paper constructs an optimal combination of U-value and solar heat gain coefficient together with a carbon reduction pathway. A coupled calculation model of door and window heat transfer and solar heat gain is established using meteorological annual data and an indoor heating setpoint of 20 ◦C. A two-dimensional parametric grid with U ranging from 0.60 to 1.20 W/(m2·K) and SHGC ranging from 0.30 to 0.60 is evaluated through dynamic load calculations, while life-cycle carbon emissions are incorporated into a multi-objective optimization framework using a genetic algorithm and weighted entropy method. The results indicate that the optimal interval is U = 0.70–0.80 W/(m2·K) and SHGC = 0. 45–0.50, reducing life-cycle carbon emissions from 24.8 to 19.9 kgCOe/(m2·a) and peak heating load from 38.4 to 31.6 W/m2. The proposed approach provides practical guidance for ultra-low energy building design and electromagnetic radiation-aware solar energy utilization.

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