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

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🔬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.

嶺南の歴史的住宅建築物は、高温、高湿、強い日射、モンスーン風、台風関連の気候ストレスを含む高温多湿かつ災害が発生しやすい気象条件の影響を受けており、これらは室内温熱快適性、昼光利用、自然換気、および適応的再利用に課題を突きつけている。海外送金文化に関連する歴史的潮汕住宅である敬祖家塾をケーススタディとして、本研究は気候適応型グリーン改修のためのシミュレーションワークフローを開発する。デジタル記録、建築調査、材料調査、および気候データを統合してベースラインモデルを構築した。PMV、DA300、およびACH/ACRを用いて温熱快適性、昼光利用、および自然換気を評価した。ベースラインの結果は、夏季の過熱、奥まった部屋における昼光不足、および代表的な部屋における換気不足を示している。快適時間はわずか7.29〜7.78%であり、温熱的に不快な時間は42.84〜51.53%に達し、最大PMVは後堂で4.65、代表的な部屋で3.54〜3.65に達した。前室と後室の有効昼光面積はそれぞれ約40%と31%であり、ベースラインのACH値は1.06〜1.89 h−1の範囲であった。機能再編成、外皮最適化、開口部調整、換気経路の組織化、および中庭・移行空間の改善を含む統合的改修戦略が提案された。改修後、快適時間は32.00〜42.45%に増加し、温熱的に不快な時間は17.25〜21.28%に減少し、最大PMV値は1.82〜1.86に低下し、昼光面積は81%と74%に増加し、ACH値は2.97〜4.49 h−1に上昇した。結果は、建築性能シミュレーションが嶺南における歴史的潮汕住宅の気候適応型グリーン改修に定量的な支援を提供できることを示しており、同様の歴史的住宅のより健康的で低炭素かつ回復力のある再利用のための方法論的参照を提供する。

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。

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.

• semanticscholar https://doi.org/10.3390/buildings16142743first seen 2026-07-14 05:12:49 · last seen 2026-09-22 05:14:12