Energy and Buildings最新文献_第4页

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

Integrating life cycle assessment with GIS and AI for the building sector: a comprehensive review 建筑行业生命周期评估与GIS和人工智能的整合：全面回顾

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

Energy and Buildings

Pub Date : 2026-02-03 DOI: 10.1016/j.enbuild.2026.117095

Huili Xie, Shengping Li, Atiq Zaman, Yongze Song, Peng Wu

引用次数: 0

Non-intrusive occupant detection in a real environment: a pilot study in an educational test bed facility 真实环境中的非侵入式乘员检测：教育试验台设施的试点研究

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

Energy and Buildings

Pub Date : 2026-02-03 DOI: 10.1016/j.enbuild.2026.117107

Thomas Olsson, Myriam Aries

引用次数: 0

Data-Driven assessment of demand response potential of residential loads based on LSTM-WGCNA and Customer directrix load 基于LSTM-WGCNA和Customer directrix负荷的住宅负荷需求响应潜力数据驱动评估

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

Energy and Buildings

Pub Date : 2026-02-02 DOI: 10.1016/j.enbuild.2026.117101

Bo Peng, Baolin Cui, Xin Ma, Che Liu

Effectively identifying residential flexible resources is critical for carbon–neutral power systems. To address the complexity of user behavior, this paper proposes an integrated framework combining Long Short-Term Memory (LSTM) networks and Weighted Gene Co-expression Network Analysis (WGCNA). By encoding daily load profiles as dynamic gene expressions, the method constructs a topological overlap matrix to identify co-varying load patterns. A two-level assessment model based on Customer Directrix Load (CDL) is then established to quantify theoretical demand response potential. A case study on 200 households identify five typical usage patterns. The proposed method achieves a Davies-Bouldin Index of 2.24, which is superior to K-means at 2.84 and AE + K-means at 2.45. Furthermore, it improves cluster boundary separability by approximately 43%. Evaluation results quantify flexibility disparities, identifying Pattern C2, representing active evening users, as the highest potential group with a score of 0.58, and Pattern C5 as the lowest potential group with a score of 0.40. These findings provide actionable data support for aggregators to formulate differentiated flexibility allocation strategies.

有效识别住宅灵活资源对碳中和电力系统至关重要。为了解决用户行为的复杂性，本文提出了一个结合长短期记忆（LSTM）网络和加权基因共表达网络分析（WGCNA）的集成框架。该方法通过将日负荷谱编码为动态基因表达，构建拓扑重叠矩阵来识别共变负荷模式。建立了基于客户直接负荷（CDL）的两级评估模型，量化了理论需求响应潜力。一项针对200户家庭的案例研究确定了五种典型的使用模式。该方法的Davies-Bouldin指数为2.24，优于K-means的2.84和AE的 + K-means的2.45。此外，它将簇边界可分离性提高了约43%。评估结果量化了灵活性差异，确定模式C2（代表活跃的夜间用户）为最高潜力组，得分为0.58，模式C5为最低潜力组，得分为0.40。这些发现为聚合商制定差异化的灵活性分配策略提供了可操作的数据支持。

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引用次数: 0

Neighborhood-level analysis of building use and Socio-Economic effects on urban energy consumption 建筑使用与社会经济对城市能源消耗的影响

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

Energy and Buildings

Pub Date : 2026-02-02 DOI: 10.1016/j.enbuild.2026.117084

Jihyun Kang, Chaerin Kim, Albert Tonghoon Han

dong-level) energy demand in Seoul by integrating building characteristics, socio-economic indicators, and infrastructural access. Using multivariate regression models for gas, electricity, and total energy use across 426 neighborhoods, we identify localized drivers of urban energy demand. Results show that apartments and townhouses are consistently associated with higher energy usage, while commercial and educational facilities such as cafés, restaurants, tutoring centers, and universities substantially increase electricity demand. Socio-economic variables – including income, worker density, household size, and demographic dependency ratios – produce differentiated effects, with lower consumption in some aging or dependent populations reflecting energy deprivation rather than efficiency. District heating access demonstrates a strong negative association with neighborhood gas use, underscoring the role of centralized infrastructure. These findings reveal how built environment, social structure, and energy infrastructure jointly shape intra-urban disparities in energy demand. We argue for neighborhood-scale, equity-sensitive energy governance as a complement to citywide policies.

通过综合建筑特征、社会经济指标和基础设施的可及性，估算首尔的能源需求。利用426个社区的天然气、电力和总能源使用的多元回归模型，我们确定了城市能源需求的局部驱动因素。结果显示，公寓和联排别墅的能源使用量一直较高，而咖啡厅、餐馆、辅导中心和大学等商业和教育设施的电力需求大幅增加。社会经济变量——包括收入、工人密度、家庭规模和人口抚养比——产生了不同的影响，一些老龄化或依赖人口的消费下降反映了能源匮乏，而不是效率。区域供热接入显示出与社区天然气使用的强烈负相关，强调了集中式基础设施的作用。这些发现揭示了建筑环境、社会结构和能源基础设施如何共同影响城市内部能源需求差异。我们主张将社区规模、公平敏感的能源治理作为全市政策的补充。

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引用次数: 0

Multi-phase optimization framework of residential blocks: Balancing building energy consumption, solar energy potential, and outdoor thermal comfort 住宅小区多相优化框架：平衡建筑能耗、太阳能潜力和室外热舒适

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

Energy and Buildings

Pub Date : 2026-02-01 DOI: 10.1016/j.enbuild.2026.117074

Siyao Wang, Hongwei Yang, Ye Zhang

The building energy efficiency and outdoor thermal comfort (OTC) in residential blocks are critical factors for the economic and social benefits of cities. Several studies have proposed frameworks for the optimal design of residential areas targeting building energy efficiency and OTC. However, these studies have paid limited attention to the trade-off between these two objectives, and have placed less focus on the integration of solar energy potential (SEP). Therefore, this paper proposes a multi-phase optimization framework: first, obtaining Pareto optimal solutions that lower building energy consumption (BEC) and higher SEP; then, simulating OTC to inform second-phase decisions and selecting the final optimal design solutions. The overarching goal of this framework is to achieve co-optimization across energy supply, energy demand, and thermal comfort within residential blocks. To implement this approach, nine building group prototypes were identified in Wuhan, China, and 1000 samples were generated using Latin hypercube sampling.With the support of XGBoost and NSGA-II, prediction models were established between the layout of the nine group types and both BEC and SEP, yielding Pareto optimal solutions. Subsequent OTC simulations were conducted to guide the selection of the final optimal design solutions. These final solutions reduced BEC by 3.77%, increased SEP by 35.99%, and improved OTC by 33.35%. Overall, the results provide a decision-making basis for promoting high-quality urban construction in other climate zones and design solutions for comfort and efficiency in residential blocks.

住宅小区的建筑能效和室外热舒适是影响城市经济效益和社会效益的关键因素。一些研究提出了针对建筑能效和OTC的住宅区域优化设计框架。然而，这些研究对这两个目标之间的权衡关注有限，并且对太阳能潜力（SEP）的整合关注较少。为此，本文提出了一个多阶段优化框架：首先，求出较低建筑能耗（BEC）和较高SEP的Pareto最优解；然后，模拟OTC，为第二阶段决策提供信息，并选择最终的最优设计方案。该框架的总体目标是实现住宅街区内能源供应、能源需求和热舒适的协同优化。为了实现这一方法，在中国武汉确定了9个建筑群原型，并使用拉丁超立方体抽样生成了1000个样本。在XGBoost和NSGA-II的支持下，建立了9种组型布局与BEC和SEP之间的预测模型，得到了Pareto最优解。随后进行了OTC仿真，以指导最终最优设计方案的选择。这些最终溶液使BEC降低3.77%，使SEP提高35.99%，使OTC提高33.35%。总体而言，研究结果为促进其他气候区高质量的城市建设以及住宅街区的舒适和效率设计方案提供了决策依据。

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引用次数: 0

A New Approach for HEMS to Optimize Cost, Emissions and Comfort through a Smart Integration of V2G, Load Scheduling, and PVT Generation 通过V2G、负载调度和PVT发电的智能集成，HEMS优化成本、排放和舒适性的新方法

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

Energy and Buildings

Pub Date : 2026-02-01 DOI: 10.1016/j.enbuild.2026.117094

Rodrigo Fiorotti, Jussara F. Fardin, Helder R O Rocha, Augusto C. Rueda-Medina, Antonio M. Pantaleo, Mohammad R. Nasab, Sergio Bruno

This paper introduces a new Home Energy Management System (HEMS) strategy designed for Smart Homes that performs load scheduling and contains Photovoltaic/Thermal (PVT) generation and Electric Vehicle (EV) using two approaches: one designed for mono-directional EV charger and the other for bi-directional one, which can perform vehicle-to-grid (V2G). The problem is solved using the Non-dominated Sorting Genetic Algorithm III metaheuristic and Long Short-Term Memory to predict the PVT generation. The occupant behavior applied utilizes 3 feature parameters to define the usage profile of controllable loads and determine the periods in which the user is most adapted to using the equipment to quantify their comfort, in addition to modeling the dependency between the operation of some loads. The electrical and thermal loads are categorized into non-controllable, deferrable, and thermo-controllable. An annual case study shows an average cost reduction of 14.57% achieved by leveraging the flexibility of the bidirectional charger for similar values of emissions and user comfort. This reduction occurs by exploiting time-of-use tariffs (which lead to an average savings of 22.23%) and reducing the maximum demand (resulting in an average reduction of 21.73%). These savings are sufficient to offset the increase in battery losses and degradation costs to perform V2G. Finally, the comparison of various HEMS architectures highlights the advantages of EV adoption through V2G implementation, positioning EVs as a more competitive solution for promoting clean and affordable energy in residential buildings.

本文介绍了一种为智能家居设计的新的家庭能源管理系统（HEMS）策略，该策略执行负载调度，包含光伏/热（PVT）发电和电动汽车（EV），采用两种方法：一种设计用于单向电动汽车充电器，另一种设计用于双向电动汽车充电器，可以执行车辆到电网（V2G）。采用非支配排序遗传算法III元启发式长短期记忆法预测PVT生成。所应用的乘员行为利用3个特征参数来定义可控负载的使用概况，并确定用户最适合使用设备的时间段，以量化他们的舒适度，此外还对一些负载操作之间的依赖关系进行建模。电负荷和热负荷可分为不可控制负荷、可延迟负荷和热控制负荷。一项年度案例研究表明，利用双向充电器的灵活性，在相似的排放值和用户舒适度下，平均降低了14.57%的成本。这种减少是通过利用使用时间关税（平均节省22.23%）和减少最大需求（平均减少21.73%）来实现的。这些节省足以抵消电池损耗的增加和执行V2G的退化成本。最后，对各种HEMS架构的比较突出了通过V2G实施电动汽车的优势，将电动汽车定位为在住宅建筑中推广清洁和负担得起的能源的更具竞争力的解决方案。

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引用次数: 0

Low-carbon renovation of building envelopes in old residential blocks: A comprehensive assessment framework for carbon reduction effects and economic benefits 旧住宅区建筑围护结构的低碳改造：碳减排效果和经济效益的综合评估框架

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

Energy and Buildings

Pub Date : 2026-02-01 DOI: 10.1016/j.enbuild.2026.117098

Shen Xu, Yichen Dong, Hongxin Guo, Zhen Yu, Bo Pan, Congyue Qi, Gaomei Li

Retrofitting building envelopes in the era of existing stock is an effective pathway to achieving carbon neutrality goals, requiring a comprehensive consideration of carbon reduction benefits and economic benefits. However, existing research focuses on the individual buildings and has not yet established a comprehensive assessment method at the block scale. This study aims to propose a multi-objective framework to assess the operational carbon reduction and economic benefits of retrofitting building envelopes in old residential blocks. First, this study employs architectural typology and cluster method to categorize 102 real cases of old residential blocks in Wuhan into three fundamental categories along with twelve derived variants. Second, under both single-component and multi-component retrofit scenarios, 2472 renovation schemes are generated. Then, sensitivity and variance analyses within the framework identify the key retrofit components and elements under each objective. Finally, the optimal renovation scheme sets for 3 types of old residential blocks are obtained, and the multi-level technical lists of envelope components-renovation materials-thermal parameters are formed. The proposed scheme sets and multi-level technical lists demonstrated good robustness after undergoing uncertainty analysis and comprehensive verification. The results indicated that multi-component retrofits enhance the carbon reduction effect by 9.25 to 23.95%, compared to single-component approaches. The heat transfer coefficient of external walls primarily affects the carbon reduction effects, while the heat transfer coefficient of external windows and the solar heat gain coefficient primarily affect economic benefits. In terms of comprehensive benefits, the heat transfer coefficient of exterior windows and that of exterior walls collectively serve as decisive factors. The technical framework proposed in this study enables policymakers and practitioners to rapidly assess the effectiveness of schemes and identify renovation priorities in the early stage of renovation. It provides a scalable technical pathway for decarbonizing old residential blocks worldwide, thereby supporting energy efficiency, emissions cuts, and sustainability within the building sector.

在存量时代对建筑围护结构进行改造是实现碳中和目标的有效途径，需要综合考虑减碳效益和经济效益。然而，现有的研究主要集中在单体建筑上，尚未建立起街区尺度上的综合评价方法。本研究旨在提出一个多目标框架，以评估在旧住宅楼宇中进行建筑围护结构改造的可操作性碳减排和经济效益。首先，本研究采用建筑类型学和聚类方法，将武汉市102个真实的老旧住区案例划分为3个基本类别和12个衍生变体。其次，在单组分和多组分改造场景下，共产生2472个改造方案。然后，在框架内进行敏感性和方差分析，确定每个目标下的关键改造部件和要素。最后，获得了3类老旧小区的最优改造方案集，形成了围护结构构件-改造材料-热力参数的多层次技术清单。经不确定性分析和综合验证，所提出的方案集和多层次技术清单具有较好的鲁棒性。结果表明，与单组分改造相比，多组分改造可提高9.25% ~ 23.95%的碳减排效果。外墙换热系数主要影响减碳效果，而外窗换热系数和太阳吸热系数主要影响经济效益。在综合效益方面，外窗换热系数和外墙换热系数共同起决定性作用。本研究提出的技术框架使政策制定者和实践者能够快速评估方案的有效性，并在改造的早期阶段确定改造的优先事项。它为世界范围内的旧住宅街区脱碳提供了可扩展的技术途径，从而支持建筑领域的能源效率、减排和可持续性。

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引用次数: 0