Energy and Buildings最新文献

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A study on the influence mechanism of residents’ willingness to participate in the carbon generalised system of preferences from a configuration perspective 配置视角下居民碳广义偏好体系参与意愿的影响机制研究

IF 6.7 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Energy and Buildings

Pub Date : 2026-02-07 DOI: 10.1016/j.enbuild.2026.117105

Liu Xingmin, Zhang Xiaoxue, Qin Beibei, Ma Yinghao, Liu Jingrui

引用次数: 0

Multiscale performance of embedded current collector cement-based double-layer capacitor for building-energy storage integration: microstructure, mechanical and electrochemical properties 建筑-储能一体化嵌入式集流水泥双层电容器的多尺度性能：微观结构、力学和电化学性能

IF 6.7 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Energy and Buildings

Pub Date : 2026-02-07 DOI: 10.1016/j.enbuild.2026.117125

Jun Tian, Wenchao Zhu, Xiaowei Wu, Yu Zheng, Weiwei Zhang, Jinyun Yuan, Wen-Wei Wang, Hao Fu, Mingyuan Liu

引用次数: 0

Urban Residents’ purchase intention for green buildings in five emerging First-Tier cities in China: A hybrid SEM–ANN approach 中国五个新兴一线城市城市居民绿色建筑购买意愿：SEM-ANN混合方法

IF 6.7 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Energy and Buildings

Pub Date : 2026-02-07 DOI: 10.1016/j.enbuild.2026.117109

Tingjia Cai, Weng Wai Choong, Siaw Chui Wee, Ting Xu

引用次数: 0

Drivers of urban street blocks thermal pleasure: SHAP interpretation of psychological, environmental perception, and microclimate factors 城市街道热愉悦的驱动因素：心理、环境感知和微气候因素的SHAP解释

IF 7.1 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Energy and Buildings

Pub Date : 2026-02-07 DOI: 10.1016/j.enbuild.2026.117115

Xiaodong Xuan , Ru Liu , Zixu Zhang , Leiming Yang , Yihe Zheng , Yongjian Liu

The perception of thermal pleasure in urban outdoor spaces is crucial for enhancing winter livability. However, existing research has primarily focused on physiological thermal comfort, leaving the mechanisms by which environmental factors influence thermal pleasure unclear. There remains a lack of systematic analysis regarding the roles of psychological perception and environmental perception. This study proposes a multidimensional synergistic framework, “Street Block Built Environment-Microclimate-Psychological Perception”, to clarify the nonlinear driving mechanisms of thermal pleasure in winter urban street blocks, integrating ML with the Shapley Additive exPlanations (SHAP) method. Utilizing 1140 questionnaire datasets and concurrently measured microclimate parameters (Ta, RH, Va, SR) from six street blocks in Hefei, nine machine learning (ML) models were trained and compared. The Extra Trees (ET) model was selected as optimal (AUC = 0.968, average F1 = 87%) for interpretation. Key findings include: The contribution of psychological perception (e.g., preference degree, overall satisfaction) to thermal pleasure significantly exceeds that of microclimate parameters and built environment perception. Threshold intervals of winter microclimate were identified: SR (164.29–568.61 W/m²), Ta (2–7.70°C), Va (<0.69 m/s), and RH (32.66–58.08%) positively enhance thermal pleasure, whereas extreme values trigger discomfort. The pleasantness of the built environment is governed by the “pleasure threshold effect”. Specifically, built environment elements—including service facilities and green coverage—can only drive further improvements in pleasantness after the psychological point is reached, thereby intensifying the thermal pleasure experience. This study innovatively constructs a human-centered thermal comfort theory, providing quantitative decision support for strengthening winter street blocks’ psychological perception, optimizing microclimates, and designing spatial forms.

城市室外空间的热愉悦感对于提高冬季宜居性至关重要。然而，现有的研究主要集中在生理热舒适上，环境因素影响热愉悦的机制尚不清楚。关于心理知觉和环境知觉的作用，目前还缺乏系统的分析。本研究将ML与Shapley加性解释（SHAP）方法相结合，提出了一个多维协同框架“街区建筑环境-微气候-心理感知”来阐明冬季城市街区热愉悦的非线性驱动机制。利用合肥市6个街区1140份问卷数据集和同时测量的小气候参数（Ta、RH、Va、SR），对9个机器学习（ML）模型进行了训练和比较。选择Extra Trees （ET）模型作为最优解释模型（AUC = 0.968，平均F1 = 87%）。主要发现包括：心理感知（如偏好程度、总体满意度）对热愉悦的贡献显著超过小气候参数和建筑环境感知。冬季小气候的阈值区间为：SR （164.29-568.61 W/m2）、Ta（2-7.70°C）、Va （0.69 m/s）和RH（32.66-58.08%）正增强热愉悦感，极值则引发不适。建筑环境的愉悦性受“愉悦阈值效应”支配。具体来说，建筑环境要素——包括服务设施和绿色覆盖——只有在达到心理点后才能进一步提高舒适性，从而加强热愉悦体验。本研究创新性地构建了以人为本的热舒适理论，为加强冬季街区的心理感知、优化微气候、设计空间形态提供定量决策支持。

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引用次数: 0

Developing an adaptive thermostat control algorithm for occupant-centric demand response in residential buildings 开发以居民为中心的住宅需求响应自适应恒温控制算法

IF 6.7 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Energy and Buildings

Pub Date : 2026-02-06 DOI: 10.1016/j.enbuild.2026.117114

Z. Khorasani Zadeh, M. Ouf, B. Gunay, B. Delcroix, G. Larochelle Martin

引用次数: 0

A novel hydroponic roof system for the energy renovation of flat roofs in the Mediterranean area 一种用于地中海地区平屋顶能源改造的新型水培屋顶系统

IF 6.7 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Energy and Buildings

Pub Date : 2026-02-06 DOI: 10.1016/j.enbuild.2026.117124

V. Costanzo, M. Detommaso, G. Evola, F. Nocera, M. Mistretta, S. Longo

引用次数: 0

Incentivizing Spatiotemporal Flexibility Trading among Buildings to Mitigate the Supply-demand Mismatch 激励建筑间的时空灵活性交易以缓解供需不匹配

IF 6.7 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Energy and Buildings

Pub Date : 2026-02-06 DOI: 10.1016/j.enbuild.2026.117100

Haoran Liu, Yohei Yamaguchi, Weimin Wu, Yanting Huang, Qixing Liu, Shunbo Lei

引用次数: 0

Bio-jaali: Reimagining vernacular passive cooling screens with mycelium-based composites Bio-jaali：用菌丝体为基础的复合材料重新构想本土被动冷却屏幕

IF 7.1 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Energy and Buildings

Pub Date : 2026-02-05 DOI: 10.1016/j.enbuild.2026.117104

Kumar Biswajit Debnath , Natalia Pynirtzi , Jane Scott , Colin Davie , Ben Bridgens

Climate change and severe urban heat stress in South Asian megacities are driving an amplified reliance on energy-intensive air conditioning, necessitating urgent low-carbon cooling solutions. This study addresses this challenge by reinterpreting the traditional jaali, a perforated passive-cooling screen, using mycelium-based composites (MBCs) to create a novel, climate-responsive, low-carbon façade system: bio-jaali. We assessed the performance of the bio-jaali through a holistic approach, combining historical climate data analysis (New Delhi, 1991–2019), dynamic building energy simulations, and laboratory bio-fabrication and hygrothermal testing. This integrated methodology is a key achievement, bridging materials science with dynamic simulation to improve building-scale performance. The climate analysis revealed a 60% increase in ‘danger-level’ heat-stress hours over the 28 years. Dynamic simulation results showed that replacing the conventional sandstone jaali with the bio-jaali yielded substantial thermal benefits: a 3.5°C (10%) reduction in the annual average indoor operative temperature and a drop in peak summer indoor temperatures by up to 14.8°C. Consequently, the annual cooling energy demand was lowered by 50.4%. Furthermore, laboratory cyclic humidity tests demonstrated the MBCs’ potential for evaporative cooling, confirming they remained dimensionally stable (<3% change) while absorbing up to 17.2% moisture. The bio-jaali is highlighted as a culturally rooted, bio-based solution that significantly reduces reliance on active cooling. This research contributes new knowledge on the building-scale performance, climate adaptability, and cyclic hygrothermal stability of MBC facades. We position the bio-jaali as a robust prototype for integrating passive and adaptive thermal regulation, advancing circular construction practices for sustainable architecture in heat-stressed urban environments.

南亚特大城市的气候变化和严重的城市热压力正在加大对能源密集型空调的依赖，迫切需要低碳制冷解决方案。这项研究通过重新诠释传统的jaali（一种穿孔的被动冷却屏幕）来解决这一挑战，使用菌丝体复合材料（MBCs）来创造一种新颖的、气候响应的、低碳的faalade系统：生物jaali。我们通过综合历史气候数据分析（1991-2019年新德里）、动态建筑能源模拟、实验室生物制造和湿热测试等整体方法评估了生物贾里的性能。这种综合方法是一项关键成就，将材料科学与动态模拟联系起来，以提高建筑规模的性能。气候分析显示，28年来，“危险级别”的热应激时间增加了60%。动态模拟结果表明，用生物鸡泥代替传统的砂岩鸡泥产生了巨大的热效益：室内年平均工作温度降低3.5°C(10%)，夏季室内峰值温度下降高达14.8°C。因此，年制冷能源需求降低了50.4%。此外，实验室循环湿度测试证明了MBCs的蒸发冷却潜力，证实它们在吸收高达17.2%的水分时保持尺寸稳定（变化3%）。bio-jaali被强调为一种根植于文化的、基于生物的解决方案，可以显著减少对主动冷却的依赖。这项研究为MBC立面的建筑尺度性能、气候适应性和循环湿热稳定性提供了新的知识。我们将生物贾里定位为集成被动和适应性热调节的强大原型，推进热应力城市环境中可持续建筑的循环建筑实践。

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引用次数: 0

A data informativeness evaluation method for grey-box modeling of building thermal dynamics 建筑热动力学灰盒模型的数据信息量评价方法

IF 7.1 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Energy and Buildings

Pub Date : 2026-02-04 DOI: 10.1016/j.enbuild.2026.117103

Xinyi Lin , Zhe Tian , Adrian Chong , Yakai Lu , Jide Niu , Na Deng

Grey-box modeling has been widely used in building thermal modeling due to its adaptability and interpretability. The identification of model parameters mainly depends on the measured dataset, and its optimal construction is critical for ensuring model accuracy. Existing studies commonly discuss the influence of training data quantity on the model accuracy. However, the training data informativeness is always ignored, which reflects the quality and richness of information within the data samples and informs the estimates of model parameter values. Notably, the informativeness level may vary among samples, and the quantity of data does not necessarily correlate with its informativeness. Here, we propose a data informativeness evaluation method that can well select informative training data for grey-box models under different scenarios. The method establishes two evaluation criteria based on the characteristics of grey-box model: one describes the consistency between training and forecasting data distributions, and the other outlines the distribution variations within the training data. The effectiveness of the proposed method is demonstrated using data from experiment case. The results indicate that the proposed data informativeness index reflects the quality of the dataset well and has a high correlation with prediction accuracy (The Pearson correlation coefficient varies from −0.6 to −0.8). This evaluation method will be of great significance for optimizing the dataset construction of grey-box model of building thermal dynamics.

灰盒模型以其适应性和可解释性在建筑热建模中得到了广泛的应用。模型参数的识别主要依赖于实测数据集，其优化构造是保证模型精度的关键。现有研究普遍讨论训练数据量对模型精度的影响。然而，训练数据的信息量往往被忽略，它反映了数据样本中信息的质量和丰富程度，并为模型参数值的估计提供了信息。值得注意的是，样本的信息水平可能会有所不同，数据的数量并不一定与其信息相关。本文提出了一种数据信息量评价方法，可以很好地为灰盒模型在不同场景下选择信息量大的训练数据。该方法基于灰盒模型的特点，建立了两个评价标准：一个描述训练数据与预测数据分布的一致性，另一个描述训练数据内部分布的变化。实验数据验证了该方法的有效性。结果表明，所提出的数据信息量指数较好地反映了数据集的质量，并且与预测精度具有较高的相关性（Pearson相关系数在−0.6 ~−0.8之间）。该评价方法对优化建筑热动力学灰盒模型的数据集构建具有重要意义。

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引用次数: 0

Designing glass materials for renewable-energy production through building integrated photovoltaics (BIPV) −A computational approach 通过建筑集成光伏（BIPV）设计可再生能源生产的玻璃材料-一种计算方法

IF 6.7 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Energy and Buildings

Pub Date : 2026-02-04 DOI: 10.1016/j.enbuild.2026.117108

Aqsa Aleem, Uzma Habib, Waqas Salman, Muhammad Tariq Saeed

引用次数: 0

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