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公共建築物のライフサイクルにわたる炭素排出最適化:グリーンビル3スター基準達成に向けたケーススタディ

Carbon emission optimization across the life cycle of public buildings: A case study toward achieving the Green Building 3-Star Standard (原題)

Rui Zhao, Hoong-Pin Lee, Jianglin Wang

EPJ Web of Conferences📚 査読済 / ジャーナル2026-01-01#炭素会計Origin: CN経営インパクト: コスト削減対象セクター: construction回収年数ヒント: 4.7
DOI: 10.1051/epjconf/202637302005
原典: https://doi.org/10.1051/epjconf/202637302005

🤖 gxceed AI 要約

日本語

中国の図書館を事例に、ライフサイクル全体の炭素排出量をGB/T 51366-2019に基づき定量評価。低炭素材への代替、地産地消、プレハブ工法、再生可能エネルギー導入等の対策により、総排出量を30.3%削減(68tCO2-eq)。グリーン建材適用率73%で3スター認証を達成し、投資回収期間4.7年、炭素収入も見込める。

English

This paper presents a case study of a Chinese library achieving three-star green building certification through life-cycle carbon assessment. By replacing materials, local procurement, prefabrication, and renewable energy integration, total emissions were cut by 30.3% (68 tCO2-eq), with green material usage at 73%. The payback period is 4.7 years, and carbon trading revenue is notable, offering a replicable model for low-carbon building retrofit.

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ZEBやCASBEE等のグリーンビル基準が拡大しているが、本稿は中国のGB/T規格に基づく実証データを示し、投資回収期間や炭素収益を具体的に提示している。日本での公共建築物の脱炭素改修やLCA評価に示唆を与える。

In the global GX context

This study provides empirical evidence on lifecycle carbon reduction in public buildings, using a Chinese standard. The payback period and carbon trading income are directly relevant to global building decarbonization efforts, especially for countries developing green building certification systems. It demonstrates a practical pathway for scope 1, 2, and 3 emission reductions in the built environment.

👥 読者別の含意

🔬研究者:The lifecycle assessment methodology and optimization measures provide a replicable framework for building carbon reduction research.

🏢実務担当者:The specific material substitutions, local procurement, and renewable energy integration offer a blueprint for green building retrofits with quantifiable payback.

🏛政策担当者:The results validate the effectiveness of green building standards and carbon pricing, supporting policy design for building sector decarbonization.

📄 抄録(日本語訳)

本文考察了一个面积为8053 mm²的图书馆如何通过建立全生命周期碳排放评估框架,并定量分析材料生产、运输、施工和运营阶段的碳排放及经济环境效益,来满足三星级绿色建筑认证标准。研究采用广联达性能分析模型,结合国家标准GB/T 51366-2019计算碳排放。通过替换低碳材料、本地采购、预制施工和整合可再生能源等协同优化措施,项目总碳排放减少了68040 kg CO₂-eq,降幅达30.3%,碳强度为19.4 kg CO₂-eq/m²。此外,重要发现可能表明绿色建材应用率达到73%,满足三星级标准。然而,结果可能显示优化后隐含碳有所下降,运营碳成为主要排放源。因此,证据可能表明增量投资回收期仅为4.7年,碳交易收益显著。鉴于这些发现,研究可能表明这些关键实证结果为公共建筑低碳改造提供了一条可复制的路径,也为双碳目标下的相关设计和决策提供了重要证据。

AI 翻訳(deepseek-v4-flash)。 正確を期す場合は下の原文を参照してください。

📄 Abstract(原文)

This article examines how an 8053 mm 2 library can meet three-star green building certification standards by establishing a life-cycle carbon emission assessment framework and quantitatively analyzing carbon emissions and economic-environmental benefits during material production, transportation, construction, and operation. The study adopts the Guanglada performance analysis model, combined with the national standard GB/T 51366-2019 to calculate carbon emissions. Through collaborative optimization measures such as replacing low-carbon materials, local procurement, prefabricated construction, and integrating renewable energy, the total carbon emissions of the project were reduced by 68040 kg CO 2 -eq, a decrease of 30.3%, with a carbon intensity of 19.4 kg CO 2 -eq/m 2 . Moreover, the significant findings may suggest that the application rate of green building materials reached 73%, meeting three-star standards. However, results might indicate embodied carbon decreased after optimization, with operational carbon becoming the main emission source. Thus, evidence may show the incremental investment payback period is only 4.7 years, with carbon trading income notable. In light of these findings, the study could indicate that these key empirical results provide a replicable path for the low-carbon renovation of public buildings, also offering important evidence for relevant design and decision-making under the dual-carbon goals.

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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。