gxceed
← 論文一覧に戻る

Comparative Life Cycle Assessment of Typical Low-Carbon Retrofit Measures for an Old Residential Community: A Case Study in Zhejiang Province, China

既存住宅団地における典型的な低炭素改修対策の比較ライフサイクルアセスメント:中国浙江省の事例研究 (AI 翻訳)

Yi Wei, Renfu Jia, Qiyue Du, Qiangsheng Li, Qin Wu, Hao She, Haizi Qi, Jiawen Lu

Buildings📚 査読済 / ジャーナル2026-05-04#省エネOrigin: CN
DOI: 10.3390/buildings16091827
原典: https://doi.org/10.3390/buildings16091827
📄 PDF

🤖 gxceed AI 要約

日本語

本研究は、中国浙江省の既存住宅団地を対象に、省エネ照明、緑化強化、屋上太陽光発電、電化の4つの低炭素改修対策を統一ライフサイクル枠組みで比較した。結果、照明改修で77.8%削減、屋上太陽光で年間295.9tCO2削減、緑化で50年累計4666tCO2削減。電化は静的炭素集約グリッドでは優位でないが、将来グリッドシナリオで66.9%削減。早期改修が累積効果を最大化。

English

This study compares four low-carbon retrofit measures (efficient lighting, greening, rooftop PV, electrification) in a Chinese residential community using life cycle assessment. Results: lighting reduces 77.8% of lighting emissions; rooftop PV saves 295.9 tCO2/year; greening saves 4666 tCO2 over 50 years. Electrification performs better under future grid scenarios. Early retrofitting maximizes cumulative mitigation.

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

日本の既存住宅団地でも類似の改修が進む中、本論文は対策間の統一比較枠組みを提供しており、日本の自治体や事業者にとって参考になる。特に、ライフサイクル全体の排出削減効果を定量的に示す点は、SSBJや有報における建築セクターの開示にも活用可能。

In the global GX context

This paper offers a replicable framework for comparing heterogeneous retrofit measures under a unified life cycle boundary, addressing a gap in building-level decarbonization assessments. Its findings on timing and grid scenarios have implications for global building stock transition planning, especially in emerging economies.

👥 読者別の含意

🔬研究者:Provides a comparative LCA framework and reference values for building retrofit planning.

🏢実務担当者:Can inform selection of retrofit measures for residential communities based on life cycle carbon reduction.

🏛政策担当者:Supports policy design for prioritizing retrofit measures and timing to maximize cumulative mitigation.

📄 Abstract(原文)

With urban renewal accelerating and carbon constraints tightening, retrofit of old residential communities has become an important pathway for building-sector decarbonization. This study compares four typical retrofit measures in a single old residential community in Zhejiang Province, China, under a unified life cycle accounting framework: energy-efficient lighting, greening enhancement, rooftop photovoltaics, and end-use electrification. For each measure, the assessment includes measure-related material production, transport and construction, operation, replacement, and end-of-life processes, and the corresponding unretrofitted condition is reported as the baseline for comparison. The novelty of this study lies in placing heterogeneous retrofit measures within the same community boundary and in jointly examining service life, implementation intensity, electricity pathway, and retrofit timing, which provides a replicable screening framework and reference values for similar preliminary assessments. Results show that lighting retrofit, greening enhancement, and rooftop photovoltaics reduce life cycle carbon emissions, but through different mechanisms and on different time scales. Under the baseline scenario, lighting retrofit reduces lighting-related carbon emissions by 77.8%, rooftop photovoltaics reduce carbon emissions by 295.9 t CO2-eq/a, and 34% additional greening yields a cumulative reduction of 4666.0 t CO2-eq over 50 years. End-use electrification does not outperform other options under a static carbon-intensive grid, but its life cycle carbon footprint under the average electricity scenario for 2025–2075 is 66.9% lower than that under the static baseline scenario at full adoption of the modeled end uses. Earlier retrofit more effectively releases cumulative mitigation benefits. This study provides a systematic comparison of the carbon reduction potential of typical retrofit measures for old residential communities and offers evidence for low-carbon retrofit planning.

🔗 Provenance — このレコードを発見したソース

🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録(無料・3キーワードまで)。

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。