持続可能な緑屋根への応用に向けたジオシンセティック植生基盤の実験的評価：熱性能と運用炭素削減
Experimental Evaluation of Geosynthetic Vegetation Substrate for Sustainable Green Roof Applications: Thermal Performance and Operational Carbon Mitigation (原題)
Jun Guo, Tong Li, Junhao Ye, Xudong Xia, Jiajun Liao, Zhuoxuan Chen, Yiqi Xiong, Yunhui Zhou
🤖 gxceed AI 要約
日本語
軽量なジオシンセティック植生基盤(GVS)を用いた緑屋根を亜熱帯気候で10か月間実証した。屋根温度を最大29.70℃、平均15.3℃低下させ、冷房エネルギーを41%削減。間接12.87、直接4.89 kg CO2 eq m−2 year−1の炭素削減を達成し、ランダムフォレストで冷却性能をモデル化した。
English
A 10-month subtropical field experiment tested a lightweight green roof using geosynthetic vegetation substrate (GVS). It cut roof temperature by up to 29.70°C (avg 15.3°C) and cooling energy by 41%, yielding indirect carbon mitigation of 12.87 and direct of 4.89 kg CO2 eq m−2 year−1. A random forest model quantified parameter contributions to cooling performance.
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
都市の脱炭素・省エネ建築は日本のGX政策(建築物省エネ法、ZEB、自治体の気候変動適応)と親和的。軽量基盤は既存建物への後付け可能性を示し、都市炭素中立の実装策として参考になる。
In the global GX context
Green roofs contribute to building-sector decarbonization and urban heat mitigation, relevant to CSRD/ISSB building-related disclosures and city net-zero plans. The lightweight substrate addresses structural retrofit barriers, adding practical evidence for urban carbon-neutrality pathways.
👥 読者別の含意
🔬研究者:軽量緑屋根の熱・炭素性能を定量化した実証データとRFモデリング手法を提供する。
🏢実務担当者:既存建物への後付け可能な軽量緑屋根の省エネ・炭素削減効果を投資判断に活用できる。
🏛政策担当者:都市のヒートアイランド対策・建築物省エネ政策の設計に軽量緑屋根の定量的根拠を提供する。
📄 Abstract（原文）
Green roofs serve as a critical technology for mitigating urban heat island (UHI) effects and reducing building energy consumption. However, conventional green roofs face limitations in large-scale applications due to structural overload from heavy substrate layers. This study proposes a lightweight green roof, utilizing geosynthetic vegetation substrates (GVSs) to overcome structural load limitations. Through a 10-month field experiment in a subtropical climate, the lightweight green roof reduced the roof temperature by up to 29.70 °C, with an average reduction of 15.3 °C, and decreased cooling energy consumption by 22.19 kWh m−2 year−1, corresponding to a reduction of 41% compared with the bare roof. A random forest (RF)-based method has been used to quantify parameter contributions and thereby enabling accurate predictive green roof cooling performance modeling. In addition, a heat transfer mathematical model was developed to calculate roof heat flux and estimate building energy savings. The lightweight green roof achieved an indirect carbon mitigation potential of 12.87 kg CO2 eq m−2 year−1 through energy savings, and a direct carbon mitigation potential of 4.89 kg CO2 eq m−2 year−1 through biomass accumulation. GVS has the potential to balance thermal performance, carbon mitigation and structural constraints on 15° sloped roofs, providing critical technical pathways for carbon neutrality in cities, in line with SDG 11 and SDG 13.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/su182111113first seen 2026-11-05 05:27:03 · last seen 2026-11-06 05:03:50
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