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Building Performance Simulation and Climate-Adaptive Green Retrofit of Jingzu Jiashu, a Historic Chaoshan Residence in Lingnan Under Hot–Humid and Disaster-Prone Weather Conditions

Tukun Wang, Jingyang Li, Zhikang Huang, Xi Wang

Buildings📚 査読済 / ジャーナル2026-07-10#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: 10.3390/buildings16142743
原典: https://doi.org/10.3390/buildings16142743
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🤖 gxceed AI 要約

日本語

本研究は、高温多湿で災害頻発の嶺南地方にある歴史的住宅「敬祖家塾」を対象に、気候適応型グリーンリノベーションのシミュレーションワークフローを開発した。ベースライン評価では夏季のオーバーヒートや採光・換気不足が確認され、総合的な改修戦略により快適時間が7-8%から32-42%に向上、PMV最大値も改善した手法は歴史的建造物の低炭素・レジリエントな再利用に寄与する。

English

This study develops a simulation workflow for climate-adaptive green retrofit of a historic Chaoshan residence in hot-humid Lingnan. Baseline evaluation revealed summer overheating, insufficient daylighting, and poor ventilation. An integrated retrofit strategy (functional reorganization, envelope optimization, opening adjustment, ventilation-path organization, and courtyard improvement) increased comfortable hours from 7-8% to 32-42% and significantly reduced thermal discomfort. The method provides quantitative support for low-carbon, resilient reuse of historic dwellings.

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

日本でも高温多湿の気候や台風リスクは共通しており、歴史的建造物の活用時に本手法は参考となる。特に省エネ改修と居住性向上の両立を図る点で、日本の建築ストック活用政策(例:既存住宅の省エネ改修促進)に示唆を与える。

In the global GX context

This study offers a methodological framework for climate-adaptive retrofit of historic buildings in hot-humid regions, relevant to global climate resilience and energy efficiency efforts. The integrated simulation approach supports building performance improvement while preserving cultural heritage, aligning with global sustainability goals.

👥 読者別の含意

🔬研究者:Provides a simulation-based methodology for evaluating and improving thermal comfort and energy performance in historic buildings under challenging climates.

🏢実務担当者:Offers a practical retrofit strategy (functional reorganization, envelope upgrades, ventilation improvements) applicable to similar heritage buildings in hot-humid regions.

🏛政策担当者:Demonstrates how building performance simulation can inform policies for sustainable reuse of historic structures, with implications for building codes and heritage preservation.

📄 Abstract(原文)

Historic residential buildings in Lingnan are affected by hot–humid and disaster-prone weather conditions, including high temperature, high humidity, intense solar radiation, monsoon winds, and typhoon-related climate stress, which challenge indoor thermal comfort, daylighting, natural ventilation, and adaptive reuse. Taking Jingzu Jiashu, a historic Chaoshan residence associated with overseas remittance culture, as a case study, this study develops a simulation workflow for climate-adaptive green retrofit. Digital documentation, architectural survey, material investigation, and climate data were integrated to establish a baseline model. PMV, DA300, and ACH/ACR were used to evaluate thermal comfort, daylighting, and natural ventilation. The baseline results show summer overheating, insufficient daylighting in deep rooms, and inadequate ventilation in representative rooms. Comfortable hours accounted for only 7.29–7.78%, thermally uncomfortable hours reached 42.84–51.53%, and the maximum PMV reached 4.65 in the rear hall and 3.54–3.65 in representative rooms. The effective daylight areas of the front and rear rooms were approximately 40% and 31%, while baseline ACH values ranged from 1.06 to 1.89 h−1. An integrated retrofit strategy was proposed, including functional reorganization, envelope optimization, opening adjustment, ventilation-path organization, and courtyard/transitional-space improvement. After retrofit, comfortable hours increased to 32.00–42.45%, thermally uncomfortable hours decreased to 17.25–21.28%, maximum PMV values decreased to 1.82–1.86, daylight areas increased to 81% and 74%, and ACH values rose to 2.97–4.49 h−1. The results indicate that building performance simulation can provide quantitative support for climate-adaptive green retrofit of historic Chaoshan residences in Lingnan, offering a methodological reference for healthier, lower-carbon, and more resilient reuse of similar historic dwellings.

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