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Assessing the effectiveness of combined ventilation strategies for cooking in residential kitchens in Hong Kong 评估香港住宅厨房综合通风策略的烹调效果
IF 7.1 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2026-01-10 DOI: 10.1016/j.enbuild.2026.116994
Dadi Zhang, Kwok-Wai Mui, Chaowen Gao, Ling-Tim Wong
Cooking activities are a major source of indoor air pollutants, including particulate matter (PM) and volatile organic compounds (VOCs), in residential buildings, and could impact occupants’ health and comfort. To enhance the understanding of IAQ in domestic kitchens, this study investigated the impacts of eight commonly used ventilation strategies (including the combinations of opening windows, opening doors, and using range hoods) during pan-frying, a prevalent cooking method in typical Hong Kong residences. Concentrations of CO2, TVOCs, and PM10 were measured and compared across different ventilation strategies. An IAQ index which integrated these indicators and their corresponding exposure limits was proposed to evaluate the ventilation effectiveness. The results revealed that the range hood was the most effective individual ventilation strategy, achieving the best IAQ index and highest ventilation rate. Combining multiple ventilation strategies could further enhance IAQ and is therefore recommended to meet practical ventilation needs. Importantly, significant interaction effects between the three ventilation strategies on IAQ were observed in both kitchen and living areas. Based on these findings, several practical suggestions were proposed, such as, using the range hood during cooking and keeping the kitchen door closed to minimize the transfer of pollutants to adjacent living areas. These insights contribute to a better understanding of ventilation effectiveness in Hong Kong’s residential kitchens and offer guidance for improving IAQ in small domestic settings.
烹饪活动是住宅建筑室内空气污染物的主要来源,包括颗粒物(PM)和挥发性有机化合物(VOCs),并可能影响居住者的健康和舒适。为了加深对家庭厨房室内空气质素的了解,本研究调查了八种常用的通风策略(包括开窗、开门和使用抽油烟机的组合)在煎锅(一种典型的香港家庭普遍使用的烹饪方法)时的影响。测量并比较了不同通风策略下CO2、TVOCs和PM10的浓度。提出了综合这些指标及其相应暴露限值的室内空气质量指数来评价通风效果。结果表明,抽油烟机是最有效的个体通风策略,达到最佳的室内空气质量指数和最高的通风量。结合多种通风策略可以进一步提高室内空气质量,因此建议满足实际通风需求。重要的是,在厨房和起居区域观察到三种通风策略对室内空气质量的显著相互作用。基于这些发现,提出了一些实用的建议,例如在烹饪时使用抽油烟机,并保持厨房门关闭,以尽量减少污染物向邻近生活区域的转移。这些见解有助于更好地了解香港住宅厨房的通风效果,并为改善小型住宅环境的室内空气质素提供指导。
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引用次数: 0
Bim-based sustainability analysis for building green retrofit: a systematic review 基于bim的建筑绿色改造可持续性分析:系统回顾
IF 7.1 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2026-01-10 DOI: 10.1016/j.enbuild.2026.116982
Xiaoyue Zou, Yongtao Tan, Guoming Zhang, Lei Hou
The building sector contributes significantly to global energy use and carbon emissions, and green retrofit of existing housing is critical for achieving long-term climate targets. Building Information Modelling (BIM) has emerged as a key digital tool for supporting retrofit design, assessment, and management, yet research on BIM-based sustainability analysis remains fragmented, with limited integration of lifecycle, economic and social dimensions. This paper presents a PRISMA-based systematic review of 358 peer-reviewed studies on BIM-enabled sustainability assessment for residential building retrofit, combining bibliometric mapping with in-depth content analysis of methods, tools and indicators. In contrast to previous reviews that typically address BIM, digital twins or life cycle assessment in isolation, this study synthesises these streams into a retrofit-centred perspective and highlights their convergence toward dynamic, data-driven workflows. The results reveal a shift from static simulation to emerging digital-twin and life-cycle sustainability assessment (LCSA) approaches, but also persistent gaps in post-occupancy verification, cross-scale integration and representation of social and behavioural factors. Building on these findings, the paper outlines an integrated DT-LCSA framework that positions BIM as the backbone for linking real-time data, predictive analytics and environmental, economic and social indicators in a closed-loop retrofit workflow.
建筑行业对全球能源使用和碳排放贡献巨大,对现有住房进行绿色改造对于实现长期气候目标至关重要。建筑信息模型(BIM)已经成为支持改造设计、评估和管理的关键数字工具,然而基于BIM的可持续性分析研究仍然是碎片化的,生命周期、经济和社会维度的整合有限。本文以prisma为基础,系统回顾了358篇同行评议的关于bim支持的住宅建筑改造可持续性评估的研究,结合文献计量学映射和对方法、工具和指标的深入内容分析。与以往的评论不同,这些评论通常孤立地处理BIM、数字孪生或生命周期评估,本研究将这些流综合为以改造为中心的视角,并强调了它们向动态、数据驱动的工作流程的融合。结果表明,从静态模拟到新兴的数字孪生和生命周期可持续性评估(LCSA)方法的转变,但在占用后验证、跨规模整合以及社会和行为因素的表示方面存在持续差距。基于这些发现,本文概述了一个集成的DT-LCSA框架,该框架将BIM定位为在闭环改造工作流程中将实时数据、预测分析和环境、经济和社会指标联系起来的支柱。
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引用次数: 0
Temperature adaptive regulating window boosted by incorporating modified PNIPAM hydrogels with PVDF for building energy efficiency 温度自适应调节窗口提高了加入改性PNIPAM水凝胶与PVDF建筑能源效率
IF 7.1 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2026-01-10 DOI: 10.1016/j.enbuild.2026.116993
Kai Zhang, Xinlong Tai, Siying Jiao, Yichi Zhang, Qingchuang Zou
This study proposed a temperature adaptive regulation window that can be fabricated on a large scale for building energy savings. We first synthesized the modified PNIPAM hydrogel, and then the temperature adaptive regulation window was fabricated by incorporating the modified PNIPAM hydrogel with a PVDF membrane (TARPP window) in a square acrylic glass mold. Then, the micromorphology, thermal response characteristics, and infrared spectroscopy of the modified PNIPAM hydrogel as well as the optical properties of the TARPP window were characterized. Finally, the experiments were conducted to determine the thermal response characteristics of the TARPP window, and preliminary calculations were also performed to derive the energy-saving potential and heat gain of the TARPP window. By incorporating PVDF with the modified PNIPAM hydrogel, the TARPP window not only achieves 80 % visible light modulation and 73 % solar modulation but also exhibits an emissivity of > 90 % within the atmospheric transparency window. In addition, the preliminary evaluation indicates that the energy consumption of the experimental chamber with the TARPP window can be decreased by 31.6 % compared with that with the conventional double-glazed (CDG) window.
本研究提出了一种可大规模制造的温度自适应调节窗,用于建筑节能。我们首先合成了改性的PNIPAM水凝胶,然后将改性的PNIPAM水凝胶与PVDF膜(TARPP窗)结合在方形丙烯酸玻璃模具中制成温度自适应调节窗口。然后,对改性后的PNIPAM水凝胶的微观形貌、热响应特性、红外光谱以及TARPP窗口的光学性质进行了表征。最后,通过实验确定了TARPP窗的热响应特性,并进行了初步计算,得出了TARPP窗的节能潜力和热增益。通过将PVDF与改性的PNIPAM水凝胶结合,TARPP窗口不仅实现了80% %的可见光调制和73% %的太阳调制,而且在大气透明窗口内显示出 >; 90 %的发射率。此外,初步评价表明,与传统双层玻璃(CDG)窗相比,使用TARPP窗的实验室内能耗可降低31.6% %。
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引用次数: 0
Thermal analysis of an office with a double duct solar roof chimney on the roof and seated persons producing CO2 对一个在屋顶上安装双管道太阳能屋顶烟囱和坐着的人产生二氧化碳的办公室进行热分析
IF 7.1 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2026-01-10 DOI: 10.1016/j.enbuild.2026.116985
J.F. Hinojosa , J.M.A. Navarro , A. Vázquez-Ruiz
The present investigation reports a detailed computational study of the effect of the vertical roof solar chimney (SC) position on heat transfer and airflow in an office with seated occupants. The office has a vertical wall receiving a constant heat flux due to the combined effect of absorbed solar radiation and temperature gradient with the ambient air. The computational model was validated with experimental temperature profiles reported in the literature. The temperature fields, flow patterns, and carbon dioxide distributions are analyzed. It was found that for offices with a heated wall, positioning the SC at the maximum distance from the wall and the minimum distance from the air intake optimizes the airflow path length. Moreover, all configurations had CO2 levels below the 8-hour TWA (Time-Weighted Average) PEL (Permissible Exposure Limit) of 5000 ppm, demonstrating compliance with key indoor air quality standards.
本研究报告了一个详细的计算研究垂直屋顶太阳能烟囱(SC)的位置对传热和气流的影响,在一个办公室与坐着的人。由于吸收的太阳辐射和与周围空气的温度梯度的综合影响,办公室的垂直墙壁接收恒定的热流。计算模型与文献报道的实验温度曲线进行了验证。分析了温度场、流型和二氧化碳分布。研究发现,对于有加热墙壁的办公室,将SC放置在离墙壁最远的地方,离进风口最小的地方,可以优化气流路径长度。此外,所有配置的二氧化碳水平都低于8小时时间加权平均PEL(允许暴露限值)5000 ppm,表明符合关键的室内空气质量标准。
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引用次数: 0
Data-efficient fault detection and prognosis for predictive maintenance of building systems using a hybrid Dual-Calibrated Particle Filter 基于混合双校准粒子滤波器的建筑系统预测性维护的数据高效故障检测和预测
IF 7.1 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2026-01-09 DOI: 10.1016/j.enbuild.2026.116943
Jintong Han , Savitha Ramasamy , Adrian Chong
Remaining Useful Life (RUL) prediction is a key component of system Prognostics and Health Management (PHM). Timely fault prognosis and accurate RUL estimation can reduce equipment downtime and lower maintenance costs. However, these tasks typically require long, continuous run-to-failure records, which are rarely available in building systems because temporally dense data are difficult to collect over long horizons. To address this gap, the Dual Calibrated Particle Filter (DC-PF) is proposed for accurate RUL prediction under extreme temporal sparsity. DC-PF hybridizes a physics-based surrogate with particle filtering to jointly encode a time-scaling factor and model parameters, inferring degradation trajectories in latent space. This enables learning from as few as two snapshots. Experiments on a building dataset demonstrate that DC-PF significantly outperforms both Standard Particle Filter and Transfer Learning baselines, reducing RMSE by approximately 57% compared to the latter. The approach also generalizes effectively on the CMAPSS dataset, where DC-PF achieves an RMSE of about 12.0 with only 50 labeled time points, while TL-LSTM and TL-GRU require roughly 200 points to reach a comparable accuracy. Furthermore, ablation studies confirm the method’s robustness to prior initialization and hyperparameter variations, as well as its computational feasibility for online deployment. By maintaining low data requirements while achieving high accuracy, DC-PF constitutes a practical advance for building system fault prognosis and RUL prediction, particularly when dense run-to-failure data are scarce.
剩余使用寿命(RUL)预测是系统预测与健康管理(PHM)的重要组成部分。及时的故障预测和准确的RUL估计可以减少设备的停机时间,降低维护成本。然而,这些任务通常需要长时间、连续的运行到故障记录,这在构建系统中很少可用,因为很难在长时间内收集时间密集的数据。为了解决这一差距,提出了双校准粒子滤波器(DC-PF)在极端时间稀疏性下进行精确的RUL预测。DC-PF混合了基于物理的代理和粒子滤波,共同编码时间尺度因子和模型参数,推断潜在空间中的降解轨迹。这样就可以只从两个快照中学习。在建筑数据集上的实验表明,DC-PF显著优于标准粒子滤波和迁移学习基线,与后者相比,RMSE降低了约57%。该方法还可以有效地推广到CMAPSS数据集上,其中DC-PF仅使用50个标记时间点即可实现约12.0的RMSE,而TL-LSTM和TL-GRU需要大约200个点才能达到相当的精度。此外,烧蚀研究证实了该方法对先验初始化和超参数变化的鲁棒性,以及在线部署的计算可行性。通过在保持低数据需求的同时实现高精度,DC-PF构成了构建系统故障预测和RUL预测的实际进步,特别是当密集的运行到故障数据稀缺时。
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引用次数: 0
Computational analysis of passive radiative cooling for building thermal comfort in hot climates 热气候条件下被动辐射制冷对建筑热舒适性的计算分析
IF 7.1 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2026-01-07 DOI: 10.1016/j.enbuild.2026.116945
Zakariae Simou , Said Hamdaoui , El Hassan Sebbar , Safaa Oubenmoh , Najma Laaroussi , Abdelouahad Ait Msaad
Radiative cooling is a promising passive cooling technology that mitigates building overheating by reflecting a portion of incident solar radiation and emitting thermal energy through the atmospheric window into outer space. This process contributes to reducing both energy consumption and associated CO2 emissions, thereby alleviating part of the environmental impact related to HVAC systems. In this study, a standalone passive radiative cooling (PRC) system was proposed to improve thermal comfort in buildings under hot summer conditions. The configuration combines a north-facing radiative cooling with a south-facing solar chimney to enable natural air circulation without electrical input. Computational fluid dynamics (CFD) simulations were performed using ANSYS to evaluate the cooling efficiency and temperature distribution within the occupied zone. The results demonstrate that the PRC system achieves sub-ambient temperatures during both nighttime and daytime periods. Temperature reductions below ambient temperature reached 3.3–5.23 °C at night and 1–2.2 °C during daytime. Under peak daytime conditions, characterized by an ambient temperature reached 32.75 °C and a maximum solar irradiance of 800  W/m2, the building equipped with the PRC system exhibited a 3.54 °C lower indoor temperature compared to a conventional building, and 1 °C below the outdoor ambient temperature. Moreover, the proposed system resulted in an energy saving of approximately 0.84 kWh/day, corresponding to a reduction of 0.504 kg of CO2 emissions per day. This work establishes the proposed PRC system as a viable, sustainable cooling technology, particularly suited for enhancing thermal comfort and energy autonomy in buildings, including remote, arid, and off-grid regions.
辐射冷却是一种很有前途的被动冷却技术,它通过反射一部分入射太阳辐射并通过大气窗口向外太空发射热能来减轻建筑物过热。这一过程有助于减少能源消耗和相关的二氧化碳排放,从而减轻与暖通空调系统相关的部分环境影响。本研究提出了一种独立的被动辐射制冷系统,以提高夏季炎热条件下建筑物的热舒适性。该结构结合了朝北的辐射冷却和朝南的太阳能烟囱,使自然空气循环没有电力输入。利用ANSYS软件进行了计算流体力学(CFD)模拟,评估了冷却效率和占位区内的温度分布。结果表明,PRC系统在夜间和白天都能达到亚环境温度。夜间温度降低到低于环境温度3.3-5.23°C,白天温度降低到1-2.2°C。在白天峰值条件下,环境温度达到32.75°C,最大太阳辐照度为800 W/m2,与传统建筑相比,配备PRC系统的建筑室内温度降低3.54°C,室外环境温度降低1°C。此外,该系统每天可节省约0.84千瓦时的能源,相当于每天减少0.504千克的二氧化碳排放量。这项工作确立了拟议的PRC系统是一种可行的、可持续的冷却技术,特别适合于提高建筑物的热舒适性和能源自主性,包括偏远、干旱和离网地区。
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引用次数: 0
Performance study of nanofluid-enhanced thermal energy storage-deep borehole heat exchanger systems: Heat transfer mechanism and machine learning prediction 纳米流体增强储热-深孔换热系统性能研究:传热机理与机器学习预测
IF 7.1 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2026-01-07 DOI: 10.1016/j.enbuild.2026.116959
Jiuchen Ma , Shikang Du , Rifan Wang , Kun Ma , Hang Wen , Yinan Wang , Guojie Ren
To address the inherent limitations in heat transfer efficiency and long-term performance of conventional deep borehole heat exchanger (DBHE) systems, this study proposes a nanofluid-enhanced thermal energy storage-deep borehole heat exchanger (TES-DBHE) system. An improved mathematical model incorporating thermal dispersion effects is developed to analyze the microscale enhancement mechanism. A multi-criteria prediction framework based on Support Vector Machine (SVM) and Particle Swarm Optimization-SVM (PSO-SVM) is also established. Simulations show consistent heat transfer performance ranking: Cu/water > CuO/water > Al2O3/water > TiO2/water > SiO2/water, with optimal system performance at 1.0 %–1.5 % volume fraction. Using 3 % Cu/water nanofluid reduces entropy generation (Sgen) by 31.4 % and decreases required borehole depth by 529 m. The PSO-SVM model achieves high prediction accuracy (R2 > 0.97) for key performance indicators. This research provides a complete technical pathway from mechanism analysis to intelligent prediction, offering theoretical support for efficient deep geothermal energy storage system design.
为了解决传统深孔换热器(DBHE)系统在传热效率和长期性能方面的固有局限性,本研究提出了一种纳米流体增强型热能储存-深孔换热器(TES-DBHE)系统。建立了考虑热分散效应的改进数学模型,分析了微尺度强化机理。建立了基于支持向量机(SVM)和粒子群优化支持向量机(PSO-SVM)的多准则预测框架。模拟结果表明:Cu/water >、CuO/water >、Al2O3/water >、TiO2/water >、SiO2/water的传热性能排序一致,当体积分数为1.0% ~ 1.5%时,系统性能最佳。使用3%铜/水纳米流体可使熵产(Sgen)减少31.4%,所需井深减少529米。PSO-SVM模型对关键绩效指标具有较高的预测精度(R2 > 0.97)。本研究提供了从机理分析到智能预测的完整技术路径,为高效深层地热储能系统设计提供理论支持。
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引用次数: 0
Climate resilient housing features in rental housing: Linking tenant satisfaction with rent premiums for retrofit decisions 租赁住房中的气候适应性住房特征:将租户满意度与改造决策的租金溢价联系起来
IF 7.1 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2026-01-07 DOI: 10.1016/j.enbuild.2026.116973
Godwin Kavaarpuo , Samuel Swanzy-Impraim , Nafisah Alaalbun Akudbillah
Meeting net-zero targets and adapting to climate change requires substantial investments in retrofitting the existing housing stock with climate-resilient features. In rental housing, which lags substantially behind owner-occupied housing in terms of sustainability investments, it remains unclear whether the features that enhance tenants’ quality of life under changing climatic conditions also translate into rent premiums. This paper examines whether climate-resilient housing features (defined as features that enhance energy, water, and thermal performance of housing in response to climatic variability and energy insecurity) differ in their effects on housing satisfaction versus rental value. Understanding the potential trade‑off is essential to unlock further sustainability-related investments in rental housing. Using the 2022 Australian housing conditions dataset and multilevel mixed models, we find that climate-resilient housing features are more closely associated with housing satisfaction than with rent. Among the eight features studied, only outdoor shutters/awnings and double-glazed windows have ‘rent premiums’ of 2.5% and 3.7%, respectively, while also positively influencing housing satisfaction. Solar panels were significant only in the base rental model. Three other features (i.e., charging stations for electric vehicles, ceiling and wall insulation, and solar panels) positively influence satisfaction but are unrelated to rents. We discuss the implications of our findings for housing retrofit, sustainability investments, and housing policy.
实现净零排放目标和适应气候变化需要大量投资,对现有住房进行改造,使其具备适应气候变化的特征。租赁住房在可持续性投资方面远远落后于自住住房,目前尚不清楚在不断变化的气候条件下提高租户生活质量的特征是否也转化为租金溢价。本文考察了气候适应性住房特征(定义为应对气候变化和能源不安全而提高住房能源、水和热性能的特征)对住房满意度和租金价值的影响是否不同。了解这种潜在的权衡对于进一步启动与可持续性相关的租赁住房投资至关重要。利用2022年澳大利亚住房条件数据集和多层混合模型,我们发现气候适应性住房特征与住房满意度的关系比与租金的关系更密切。在研究的八个功能中,只有户外百叶窗/遮阳篷和双层玻璃窗的“租金溢价”分别为2.5%和3.7%,同时也对住房满意度产生积极影响。太阳能电池板仅在基本租赁模式中具有重要意义。其他三个特征(即电动汽车充电站、天花板和墙壁绝缘、太阳能电池板)对满意度有积极影响,但与租金无关。我们讨论了我们的研究结果对住房改造、可持续性投资和住房政策的影响。
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引用次数: 0
Comparative thermo-environ-economic analysis of solar-assisted and conventional ejector-compression heat pump systems for space heating 空间供暖中太阳能辅助与传统喷射器压缩热泵系统的热环境经济对比分析
IF 7.1 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2026-01-07 DOI: 10.1016/j.enbuild.2026.116952
Jalal Alsarraf, Abdulwahab A. Alnaqi, Abdullah A.A.A. Al-Rashed
This study investigates a solar-assisted ejector–compression heat pump (SA-ECHP) integrated with photovoltaic/thermal (PVT) collectors for building space heating. The proposed system simultaneously utilizes solar thermal energy to enhance refrigerant evaporation temperature and photovoltaic electricity to supply compressor power. Its performance is modeled, evaluated and compared with a conventional air-source heat pump (ASHP) and an air-source ejector–compression heat pump (AS-ECHP) under identical operating conditions. The developed models were validated using experimental data, showing good agreement within a 3 % deviation. Energy, exergy, economic, and environmental (4E) assessments were carried out using real meteorological data from Kuwait City. Results indicate that the SA‐ECHP achieves superior technical performance, with COP and exergy efficiency gains of up to 38.2 % and 16.9 percentage points, respectively, compared to the standard ASHP. Despite its higher capital investment, the SA‐ECHP system offers considerable reductions in CO2, SO2, and NOx emissions (15–29 %) relative to non‐solar systems. These findings demonstrate that integrating solar and ejector technologies provides an effective pathway toward low‐carbon, high‐efficiency building heating in regions with strong solar energy potential.
本研究研究了太阳能辅助弹射压缩热泵(SA-ECHP)与光伏/热(PVT)集热器集成用于建筑空间供暖。该系统同时利用太阳能热能提高制冷剂蒸发温度,并利用光伏发电为压缩机供电。在相同工况下,与传统空气源热泵(ASHP)和空气源喷射器-压缩热泵(AS-ECHP)进行了性能建模、评价和比较。利用实验数据对所建立的模型进行了验证,在3%的偏差范围内显示出良好的一致性。利用科威特市的真实气象数据进行了能源、能源、经济和环境(4E)评估。结果表明,与标准空气源热泵相比,SA‐ECHP取得了卓越的技术性能,COP和火用效率分别提高了38.2%和16.9个百分点。尽管资本投资较高,但与非太阳能系统相比,SA - ECHP系统可显著减少二氧化碳、二氧化硫和氮氧化物排放(15 - 29%)。这些发现表明,在太阳能潜力巨大的地区,集成太阳能和喷射器技术为实现低碳、高效的建筑供暖提供了一条有效途径。
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引用次数: 0
Synergistic control of cold source and comfort thresholds in active phase change envelope systems: A multi-strategy comparative study 主动相变围护结构系统中冷源和舒适阈值的协同控制:多策略比较研究
IF 7.1 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2026-01-07 DOI: 10.1016/j.enbuild.2026.116972
Lifei Ye, Yunfei Ding
As an innovative application of flexible envelope systems, the active phase change system (APCS) overcomes the limitations of passive phase change material (PCM) buildings by dynamically regulating the energy absorption and release processes of PCMs, thereby improving the indoor thermal environment. The regulation strategy of APCS, which serves as the core link connecting material properties, system design, and actual performance, is critical to its dynamic thermal regulation capability. This paper proposes a combined fixed/dynamic regulation strategy based on cold source temperature and indoor comfort thresholds, comprising four strategies: fixed indoor comfort threshold and fixed water supply temperature control strategy (FFCS),dynamic indoor comfort threshold and fixed water supply temperature control strategy (DFCS), fixed indoor comfort threshold and dynamic water supply temperature control strategy (FDCS),dynamic indoor comfort threshold and dynamic water supply temperature control strategy (DDCS). It systematically analyzes the comprehensive effects of these strategies on the thermal regulation performance, thermal comfort, and energy cost of APCS. Experimental tests and numerical simulations demonstrate that, compared with the control group over a three-day experimental cycle, APCS can reduce indoor overheating intensity by 90.16%, 66.83%, and 75.73%, while increasing the thermal storage adjustment capacity (TSAC) by up to 25.66%. Furthermore, compared to FFCS, the synergistic strategies involving dynamic comfort thresholds and fixed/dynamic cooling source temperatures (DDCS and DFCS) achieve up to a 22.3% reduction in energy cost and reduce overheating intensity by up to 89.1% in terms of energy consumption. The results indicate that the dynamic supply and demand synergistic control strategy outperforms fixed supply and demand side strategies in balancing energy consumption and thermal comfort. This study provides a quantitative basis for selecting control strategies for APCS applications in various building scenarios.
主动相变系统(APCS)作为柔性围护结构系统的创新应用,通过动态调节被动相变材料(PCM)的能量吸收和释放过程,克服了被动相变材料(PCM)建筑的局限性,从而改善了室内热环境。APCS的调节策略是连接材料性能、系统设计和实际性能的核心环节,对其动态热调节能力至关重要。本文提出了一种基于冷源温度和室内舒适阈值的固定/动态组合调节策略,包括四种策略:室内固定舒适阈值与固定供水温度控制策略(FFCS)、室内动态舒适阈值与固定供水温度控制策略(DFCS)、室内固定舒适阈值与动态供水温度控制策略(FDCS)、室内动态舒适阈值与动态供水温度控制策略(DDCS)。系统分析了这些策略对APCS热调节性能、热舒适和能源成本的综合影响。实验测试和数值模拟结果表明,在3 d的实验周期内,与对照组相比,APCS可将室内过热强度降低90.16%、66.83%和75.73%,同时可将储热调节容量(TSAC)提高25.66%。此外,与FFCS相比,涉及动态舒适阈值和固定/动态冷却源温度(DDCS和DFCS)的协同策略在能源消耗方面可降低22.3%的能源成本,并将过热强度降低89.1%。结果表明,动态供需协同控制策略在平衡能源消耗和热舒适方面优于固定供需侧策略。该研究为各种建筑场景中APCS应用的控制策略选择提供了定量依据。
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