Energy and Buildings最新文献_第5页

A recommendation model for optimizing transfer learning hyper-parameter settings in building heat load prediction with limited data samples 在数据样本有限的建筑物热负荷预测中优化迁移学习超参数设置的推荐模型

IF 6.6 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Energy and Buildings

Pub Date : 2024-11-06 DOI: 10.1016/j.enbuild.2024.115021

Di Bai , Shuo Ma , Xiaochen Yang , Dandan Ma , Xiaoyu Ma , Hongting Ma

The transfer learning method has gained increasing attention in the domain of building load prediction, particularly in scenarios with limited data samples. Its core principle involves leveraging knowledge obtained from abundant data in source buildings to aid the learning process of models for the target buildings. Existing research has predominantly concentrated on optimizing the selection of source building data to improve transfer learning effectiveness, while the optimization of transfer learning hyper-parameter settings is often neglected. This study proposes a recommendation model tailored for transfer learning hyper-parameter settings in the context of small sample prediction for building heat loads. The objective is to automatically suggest suitable transfer learning hyper-parameter combination based on the specific features of the building heat load data samples. In this study, 200 real building profiles were utilized to generate the input–output dataset required for the recommendation model. By employing data mining techniques such as clustering and classification, the correlation between the features of source building data and the most effective transfer learning hyper-parameter combination is investigated. The developed recommendation model for optimal transfer learning hyper-parameter settings achieves a classification accuracy of 90.5%，and the performance evaluation was conducted using an additional dataset of 30 source buildings. The results show that by employing this recommendation model, the prediction error of the target buildings can be reduced by 0.12% to 6.64% compared to the conventional method of empirically determining transfer learning hyper-parameter settings.

迁移学习法在建筑负荷预测领域受到越来越多的关注，尤其是在数据样本有限的情况下。其核心原理是利用从源建筑的丰富数据中获取的知识来帮助目标建筑的模型学习过程。现有研究主要集中在优化源建筑数据的选择，以提高迁移学习的效果，而迁移学习超参数设置的优化往往被忽视。本研究针对建筑物热负荷的小样本预测，提出了一个专门针对迁移学习超参数设置的推荐模型。其目的是根据建筑物热负荷数据样本的具体特征，自动推荐合适的迁移学习超参数组合。在这项研究中，利用 200 个真实建筑剖面来生成推荐模型所需的输入输出数据集。通过采用聚类和分类等数据挖掘技术，研究了源建筑数据特征与最有效的转移学习超参数组合之间的相关性。所开发的最优迁移学习超参数设置推荐模型的分类准确率达到了 90.5%，并使用额外的 30 个源建筑数据集进行了性能评估。结果表明，与通过经验确定迁移学习超参数设置的传统方法相比，采用该推荐模型可将目标建筑物的预测误差降低 0.12% 至 6.64%。

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引用次数: 0

Subjective information in thermal comfort evaluation methods: A critical review 热舒适度评估方法中的主观信息：批判性评论

IF 6.6 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Energy and Buildings

Pub Date : 2024-11-06 DOI: 10.1016/j.enbuild.2024.115019

Yuxin Yang , Junmeng Lyu , Zhiwei Lian , Yongxin Xie , Ying Jiang , Junwei Lin , Jianlei Niu

Thermal environments hold significant importance in human living environments, affecting quality of life, work efficiency, and building energy consumption. Accurate evaluation of thermal comfort involves the quantification of subjective information and the establishment of indices and models. Although various thermal comfort evaluation methods currently exist, the complexity of subjective emotions has often been overlooked. This review provides a comprehensive analysis of the underlying purposes and logic behind different thermal comfort evaluation methods, focusing on the intricacies of subjective information. It emphasizes that while substantial studies have already demonstrated that thermal sensation alone is insufficient for evaluating thermal environments in different contexts, there is still an overreliance on thermal sensation by various indices and models. By critically reviewing the role of subjective information in these methods, this review aims to promote the healthy development of thermal comfort evaluation.

热环境在人类生活环境中具有重要意义，影响着生活质量、工作效率和建筑能耗。要对热舒适度进行准确评估，就必须对主观信息进行量化，并建立相关指数和模型。尽管目前存在各种热舒适度评估方法，但主观情绪的复杂性往往被忽视。本综述全面分析了不同热舒适度评价方法背后的基本目的和逻辑，重点关注主观信息的复杂性。它强调，虽然大量研究已经证明，仅凭热感觉不足以评估不同环境下的热环境，但各种指数和模型仍然过度依赖热感觉。通过对主观信息在这些方法中的作用进行严格审查，本综述旨在促进热舒适度评估的健康发展。

引用次数: 0

Cross-condition fault diagnosis of chillers based on an ensemble approach with adaptive weight allocation 基于自适应权重分配的集合方法的冷却器跨工况故障诊断

IF 6.6 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Energy and Buildings

Pub Date : 2024-11-05 DOI: 10.1016/j.enbuild.2024.115007

Zhen Chen , Wei Zhang , Wanqing Zhao , Xuebin Yang , Xingxing Zhang , Yu Li

The Heating, Ventilation and Air Conditioning (HVAC) systems are complex and prone to failures during operation, often leading to significant energy waste. Timely and accurate Fault Detection and Diagnosis (FDD) can enhance energy efficiency. The HVAC system operates under diverse conditions, data-driven models trained under existing conditions may experience performance degradation when faced with new conditions. Transfer learning offers an effective solution to this issue. This study proposes a novel transfer learning ensemble model based on adaptive weights, leveraging different transfer learning strategies to improve diagnosis performance under new conditions. Multiple cross-condition transfer learning tasks were implemented to test the proposed method, and its effectiveness was validated through multiple experiments to minimize the impact of randomness. Results showed that, compared to fine-tuning (FT), domain-adversarial neural network (DANN), and baseline models, the proposed method outperforms the other models. The average accuracy of multiple experiments improved by 0.21 % to 2.34 % compared to FT. Additionally, modifying DANN to utilize a small amount of labeled information from the target domain has led to greater overlap between the feature distributions of the source and target domains, resulting in improved performance that is close to that of FT. Finally, we analyzed the impact of target domain data volume on the performance of the four methods. The performance of the baseline model improved significantly with the increase in data volume, while the other models showed less improvement. Meanwhile, the diagnostic results of the baseline model were significantly influenced by experimental randomness when there is less training data, whereas the FT diagnostic results were relatively more stable.

供暖、通风和空调（HVAC）系统十分复杂，在运行过程中很容易出现故障，往往会造成大量能源浪费。及时准确的故障检测和诊断（FDD）可以提高能源效率。暖通空调系统的运行条件多种多样，在现有条件下训练的数据驱动模型在面对新条件时可能会出现性能下降。迁移学习为这一问题提供了有效的解决方案。本研究提出了一种基于自适应权重的新型迁移学习集合模型，利用不同的迁移学习策略来提高新条件下的诊断性能。为了测试所提出的方法，我们执行了多个跨条件迁移学习任务，并通过多次实验验证了该方法的有效性，以尽量减少随机性的影响。结果表明，与微调（FT）、域对抗神经网络（DANN）和基线模型相比，所提出的方法优于其他模型。与 FT 相比，多次实验的平均准确率提高了 0.21 % 至 2.34 %。此外，修改 DANN 以利用来自目标域的少量标记信息，使得源域和目标域的特征分布有了更大的重叠，从而提高了性能，接近 FT 的性能。最后，我们分析了目标域数据量对四种方法性能的影响。随着数据量的增加，基线模型的性能显著提高，而其他模型的性能提高幅度较小。同时，当训练数据较少时，基线模型的诊断结果受实验随机性的影响较大，而 FT 诊断结果相对更稳定。

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引用次数: 0

Enhancing indoor light and thermal performance with micro-prismatic materials for complex fenestration systems: A review 使用微棱镜材料提高复杂幕墙系统的室内光热性能：综述

IF 6.6 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Energy and Buildings

Pub Date : 2024-11-05 DOI: 10.1016/j.enbuild.2024.115002

Xuran Guo , Zhen Tian , Yongqing Zhao , David Geisler-Moroder , Martin Hauer

Creating high performance buildings is crucial not only for energy conservation but also for enhancing indoor comfort and well-being of occupants. Complex Fenestration Systems (CFS) can modulate daylight and/or solar radiation, thereby improving the quality of indoor light and thermal environments. This paper provided a comprehensive review of the application of micro-prismatic materials (MiPMs) in CFS, analyzing and summarizing the design, manufacturing, evaluation methods, case studies, and implementation framework of MiPMs. The effectiveness of MiPMs in enhancing indoor light and thermal performance was analyzed and the limitations and future research directions of these materials were discussed. The review suggested that using mathematical models and algorithms to design the prismatic structure parameters could be an efficient approach. Integrating other materials or technologies and incorporating dynamic control could significantly further enhance the optimized performance of MiPMs. Ultra-precision machining is the core manufacturing technology for MiPMs, and the use of recycled materials may offer a more sustainable approach for material production. Through characterization via bidirectional scattering distribution functions (BSDF) and the ability to generate the data using goniophotometers or simulation tools, computer simulation can act as a time-efficient, and accurate method for performance evaluation of MiPMs. A summarized roadmap may help building owners and architects more effectively apply MiPMs in their projects. Future work might focus on enhancing product quality and weather resistance, standardizing test and simulation work, developing accurate and integrated analysis methods, and exploring integration of MiPMs with building integrated photovoltaic (BIPV) systems.

创建高性能建筑不仅对节约能源至关重要，而且对提高室内舒适度和居住者的幸福感也至关重要。复合幕墙系统（CFS）可以调节日光和/或太阳辐射，从而改善室内光和热环境质量。本文全面综述了微棱镜材料（MiPM）在复合幕墙系统中的应用，分析并总结了微棱镜材料的设计、制造、评估方法、案例研究和实施框架。分析了微棱镜材料在提高室内光和热性能方面的有效性，并讨论了这些材料的局限性和未来研究方向。综述表明，使用数学模型和算法设计棱柱结构参数可能是一种有效的方法。整合其他材料或技术并结合动态控制可进一步显著提高 MiPM 的优化性能。超精密加工是 MiPMs 的核心制造技术，而使用回收材料可能会为材料生产提供一种更具可持续性的方法。通过双向散射分布函数 (BSDF) 进行表征，并使用测角光度计或模拟工具生成数据，计算机模拟可以作为一种省时、准确的 MiPM 性能评估方法。总结出的路线图可以帮助建筑业主和建筑师更有效地在项目中应用 MiPM。未来的工作重点可能是提高产品质量和耐候性，规范测试和模拟工作，开发精确的综合分析方法，以及探索 MiPM 与光伏建筑一体化 (BIPV) 系统的整合。

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引用次数: 0

Individual differences in acceptance of direct load control 接受直接负载控制的个体差异

IF 6.6 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Energy and Buildings

Pub Date : 2024-11-05 DOI: 10.1016/j.enbuild.2024.115009

Stepan Vesely , Christian A. Klöckner

Consumer acceptance of direct load control is becoming increasingly important as energy systems transition towards greater reliance on intermittent renewable energy sources. The objective of this paper is to better understand the attitudinal and socio-economic determinants of direct load control acceptance. To do so, we collect survey data from participants in 31 European countries (N = 5,970). Regression analyses testing a comprehensive model of attitudinal and socio-economic determinants of direct load control acceptance reveal that attitudes and beliefs specific to direct load control acceptance (social and personal norms, anticipated emotions, and outcome efficacy beliefs) predict acceptance, whereas more general attitudinal variables and socio-economic characteristics play no or only a secondary role. These findings substantially improve our understanding of direct load control acceptance. While European policy documents recognize the importance of individual attitudes for the success of demand response programs, reference to specific factors or processes is often missing due to lack of evidence. The present research helps fill this gap, and can inform the design of novel soft policy measures – highlighting the usefulness of facilitating positive peer influence, of reinforcing perceptions that engaging in demand response is effective, is the responsible thing to do, and also something to be proud of.

随着能源系统向更加依赖间歇性可再生能源过渡，消费者对直接负荷控制的接受程度变得越来越重要。本文旨在更好地了解消费者接受直接负荷控制的态度和社会经济决定因素。为此，我们收集了 31 个欧洲国家参与者的调查数据（N = 5970）。回归分析测试了直接负载控制接受度的态度和社会经济决定因素的综合模型，结果显示，与直接负载控制接受度相关的态度和信念（社会和个人规范、预期情绪和结果效能信念）可以预测接受度，而更一般的态度变量和社会经济特征则不起作用或仅起次要作用。这些发现大大提高了我们对直接负荷控制接受度的理解。虽然欧洲的政策文件承认个人态度对需求响应计划成功的重要性，但由于缺乏证据，往往没有提及具体的因素或过程。本研究有助于填补这一空白，并为设计新颖的软性政策措施提供信息--强调促进积极的同伴影响、强化参与需求响应是有效的、是负责任的行为、也是值得骄傲的行为等观念的有用性。

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引用次数: 0

Ten differences of seasonal borehole thermal energy storage system from ground-source heat pump system 季节性钻孔蓄热系统与地源热泵系统的十大区别

IF 6.6 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Energy and Buildings

Pub Date : 2024-11-03 DOI: 10.1016/j.enbuild.2024.114994

Xingwang Zhao , Yanwei Li , Xin Chen , Yonggao Yin

Since both the cross-seasonal borehole thermal energy storage (BTES) system and the ground source heat pump (GSHP) system use buried tubes for heat exchange, GSHP is often mistaken for a BTES system. However, there are essential differences between the GSHP system and the BTES system, and the purpose of this study is to elucidate in detail the differences between these two systems. This study first summarizes the practical application cases of seasonal BTES globally, and then deeply compares and analyzes the differences between the seasonal BTES system and GSHP system from ten different perspectives, including system definition, technology timeline, purpose of buried tube heat exchanger, heat sources, soil temperature changes, buried tube heat exchanger volume, design of the buried tube heat exchanger, energy storage modes, biggest drawback, system performance evaluation. Finally, the future development prospects and research directions of the seasonal BTES system are further discussed. In summary, although the GSHP system may be confused with the seasonal BTES system in some aspects, they are indeed two different systems. Compared to the GSHP system, the seasonal BTES system can solve the contradiction between energy supply and demand in time and space, and effectively improve energy utilization efficiency.

由于跨季节钻孔热能储存（BTES）系统和地源热泵（GSHP）系统都使用埋管进行热交换，GSHP 经常被误认为是 BTES 系统。然而，GSHP 系统与 BTES 系统之间存在本质区别，本研究的目的就是要详细阐明这两种系统之间的区别。本研究首先总结了全球范围内季节性 BTES 的实际应用案例，然后从系统定义、技术年限、地埋管换热器的用途、热源、土壤温度变化、地埋管换热器体积、地埋管换热器设计、储能模式、最大缺点、系统性能评估等十个方面深入对比分析了季节性 BTES 系统与 GSHP 系统的差异。最后，进一步讨论了季节性 BTES 系统的未来发展前景和研究方向。总之，尽管在某些方面，GSHP 系统与季节性 BTES 系统可能会被混淆，但它们确实是两种不同的系统。与 GSHP 系统相比，季节性 BTES 系统可以解决能源供需在时间和空间上的矛盾，有效提高能源利用效率。

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引用次数: 0

Investigating envelope retrofitting potential and resilience of Australian residential buildings − A stock modelling approach 调查澳大利亚住宅建筑的围护结构改造潜力和抗灾能力--一种存量建模方法

IF 6.6 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Energy and Buildings

Pub Date : 2024-11-03 DOI: 10.1016/j.enbuild.2024.114990

Priyadarsini Rajagopalan , Dong Chen , Michael Ambrose

Residential buildings consume around 24 percent of overall electricity use in Australia. Though the energy efficiency of new buildings is progressively increasing, there are around 10 million existing homes most with poor thermal and energy performance. Improving these existing homes are imperative for Australia to reach its target of net zero by 2050. This paper adopts a stock modelling approach using real designs of more than two hundred thousand detached dwellings and apartments submitted for certification in eight states and territories across Australia to investigate envelope retrofitting potential of the housing stock. The performance of the existing housing stock was assessed and the effect of various levels of envelope improvements on energy efficiency and overheating were analysed for current and future climatic conditions. With improvements in 10% of the entire building stock, 3.14 Mt, 3.52 Mt and 7.2 Mt CO₂ emission reductions per year respectively were estimated with Rehab, Refurb and Renov improvements. Both detached dwellings and apartments experienced overheating across all the states and territories for the current and future climatic conditions. Though envelope improvement caused some reduction in the overheating, it was not significant. The high average overheating hours in Queensland come from nighttime overheating in the bedrooms, whereas in most other states daytime overheating constitute the majority. Various improvements in the building envelope were effective in reducing daytime overheating reductions rather than nighttime overheating, though the impact was marginal. The results from this study provided guidance on policy and regulatory mechanisms that can be introduced for developing decarbonization pathways for buildings at a national level.

在澳大利亚，住宅建筑的用电量约占总用电量的 24%。虽然新建建筑的能效在逐步提高，但仍有约 1000 万户现有住宅的热能和能源性能最差。澳大利亚要在 2050 年前实现净零能耗的目标，就必须改善这些现有住宅。本文采用存量建模的方法，利用澳大利亚八个州和地区提交认证的二十多万套独立式住宅和公寓的实际设计，调查住房存量的围护结构改造潜力。对现有住房的性能进行了评估，并分析了在当前和未来气候条件下不同程度的围护结构改造对能效和过热的影响。在对整个建筑群的 10%进行改进的情况下，通过改造、翻新和翻新，估计每年可分别减少 314 万吨、352 万吨和 720 万吨二氧化碳排放量。在当前和未来的气候条件下，所有州和地区的独立式住宅和公寓都会出现过热现象。虽然围护结构的改善在一定程度上减少了过热现象，但效果并不显著。昆士兰的平均过热时间较长，主要是卧室夜间过热，而在其他大多数州，白天过热占绝大多数。建筑围护结构的各种改进措施都能有效减少白天的过热时间，而不是夜间的过热时间，尽管影响不大。这项研究的结果为政策和监管机制提供了指导，这些政策和监管机制可用于在国家层面制定建筑脱碳路径。

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引用次数: 0

Deep dehumidification characteristics of a silica gel coated cross-flow heat exchanger with a circulating blowing loop 带有循环吹风回路的硅胶涂层横流热交换器的深度除湿特性

IF 6.6 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Energy and Buildings

Pub Date : 2024-11-03 DOI: 10.1016/j.enbuild.2024.114991

Lin Liu , Hongyu Huang , Jun Li , Yu Bai , Zhaohong He , Lisheng Deng , Tieyu Gao , Mitsuhiro Kubota , Noriyuki Kobayashi

Solid desiccant dehumidification systems offer an effective and energy-efficient alternative for deeply dehumidifying air. Desiccant coated heat exchangers (DCHEs), a type of solid desiccant dehumidification system, have garnered attention due to their ability to eliminate adsorption heat and thereby enhance dehumidification capacity, unlike desiccant wheels that perform adiabatic dehumidification. This study introduces a silica gel coated cross-flow DCHE equipped with a circulating blowing loop for deep dehumidification applications. A two-dimensional numerical model is developed to simulate deep dehumidification behavior of the DCHE. Parametric analysis is performed to explore the dehumidification characteristics under various conditions, setting different volume fractions

ω

of blowing loop air. Results indicate that the DCHE can effectively reduce the moisture content of humid air to a deep dehumidification threshold of 6.2 g/kg. Additionally, dehumidification capacity can be increased by incorporating a circulating blowing loop. The influence of process air velocity, cooling air velocity, process air humidity ratio, regeneration air temperature and air channel length on the dehumidification performance are analyzed, focusing on metrics such as minimum outlet air humidity ratio

Y_{a 1, a d, o u t_m i n}

, effective deep dehumidification time

t_{eff}

, moisture removal capacity

MRC

and dehumidification coefficient of performance

DCOP

. It is determined that the regeneration air temperature should be raised to 80 °C to ensure deep dehumidification, and an air channel length of 0.2 m is optimal.

固体干燥剂除湿系统为深度除湿空气提供了一种高效节能的替代方法。干燥剂涂层热交换器（DCHE）是固体干燥剂除湿系统的一种，与进行绝热除湿的干燥剂转轮不同，它能够消除吸附热，从而提高除湿能力，因此备受关注。本研究介绍了一种配备循环吹风回路的硅胶涂层横流 DCHE，用于深度除湿。开发了一个二维数值模型来模拟 DCHE 的深度除湿行为。通过参数分析，探讨了在不同条件下的除湿特性，并设置了不同的吹风回路空气体积分数ω。结果表明，DCHE 可以有效地将潮湿空气中的水分含量降低到 6.2 g/kg 的深度除湿阈值。此外，通过加入循环吹风回路，还能提高除湿能力。分析了工艺风速、冷却风速、工艺空气湿度比、再生空气温度和空气通道长度对除湿性能的影响，重点是最小出口空气湿度比 Ya1,ad,out_min、有效深度除湿时间 teff、除湿能力 MRC 和除湿性能系数 DCOP 等指标。结果表明，要确保深度除湿，再生空气温度应提高到 80 °C，空气通道长度为 0.2 米最为理想。

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引用次数: 0

Enhancing commercial building resiliency through microgrids with distributed energy sources and battery energy storage systems 通过采用分布式能源和电池储能系统的微电网增强商业建筑的复原力

IF 6.6 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Energy and Buildings

Pub Date : 2024-11-02 DOI: 10.1016/j.enbuild.2024.114980

Iker De Loma-Osorio , David Borge-Diez , Jonas Herskind Sejr , Enrique Rosales-Asensio

Resilience analysis is gaining focus, but no extensive research exists for commercial buildings. This research presents the results of a novel analysis of the resiliency in commercial buildings by examining the relationship between electric microgrids, Distributed Energy Resources (DERs), and Battery Energy Storage Systems (BESS). As energy systems face increasing challenges, including extreme weather events and grid vulnerabilities, integrating microgrids, DERs, and BESS has emerged as a promising solution to strengthen the resilience of commercial buildings. Microgrids can harness renewable energy sources and reduce environmental impacts when integrated with DERs. Most literature studies focus on residential or commercial buildings with peak-valley tariffs and simplified electrical market models. In contrast, this study focuses on BESS’ pivotal role in DER output and ensuring uninterrupted power during grid disruptions and presents an innovative approach to analyzing resilience in commercial building microgrids and an economic optimization of commercial building microgrids with Time of Use tariffs utilizing DERS and BESS. The analysis includes the technical aspects of BESS integration and control strategies that optimize their operation. It also studies the economic and environmental benefits of microgrids, DERs, and BESS, focusing on cost savings, greenhouse gas emission reductions, and grid support services.

抗灾能力分析日益受到关注，但目前还没有针对商业建筑的广泛研究。本研究通过考察电力微电网、分布式能源资源（DER）和电池储能系统（BESS）之间的关系，对商业建筑的抗灾能力进行了新颖的分析，并展示了分析结果。随着能源系统面临极端天气事件和电网脆弱性等日益严峻的挑战，整合微电网、分布式能源资源和电池储能系统已成为加强商业楼宇抗灾能力的可行解决方案。微电网与 DER 集成后，可以利用可再生能源并减少对环境的影响。大多数文献研究的重点是采用峰谷电价和简化电力市场模型的住宅或商业建筑。相比之下，本研究重点关注 BESS 在 DER 输出和确保电网中断期间不间断供电方面的关键作用，并提出了一种创新方法来分析商业建筑微电网的恢复能力，以及利用 DERS 和 BESS 的使用时间电价对商业建筑微电网进行经济优化。分析包括 BESS 集成的技术方面以及优化其运行的控制策略。它还研究了微电网、DER 和 BESS 的经济和环境效益，重点关注成本节约、温室气体减排和电网支持服务。

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引用次数: 0

Rethinking residential building design in high-density cities for enhancing pandemic resilience: Balancing importance and practicality 重新思考高密度城市的住宅建筑设计，以增强对大流行病的抵御能力：平衡重要性与实用性

IF 6.6 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Energy and Buildings

Pub Date : 2024-11-02 DOI: 10.1016/j.enbuild.2024.114985

Shijie Zhou , Meng Tian , Xuesong Xu , Lei Yuan

The relationship between the built environment and epidemic transmission is particularly pronounced within the context of lockdown policies and high-density urban areas. Non-pharmaceutical interventions have become increasingly important during and after the COVID-19 pandemic. This study proposes an evaluation index system for pandemic-resilient residential building designs in high-density cities, covering the entire design process including site planning, architecture design, building equipment and management. The system includes 64 design strategies, categorized into 15 sub-categories and 4 categories. Then, we evaluate the preference of each strategy by synthesizing the dimensions of importance and implementation difficulty. A questionnaire survey was conducted among experts who have experience with pandemic-resilient designs in high-density cities. Fuzzy synthetic evaluation analysis was implemented along with the “preference index” concept to identify the most important and practical interventions during the pandemic outbreak. The results indicate that “service and management” is the category that requires priority, followed by “property management,” “common areas” and “building morphology” in sub-categories. Among the design strategies, “waste receptacle,” “publicity and education,” “floor drain and water seal” and “environmental cleaning and disinfection” are the top four recommended strategies. This study provides policymakers and practitioners with effective and easily implementable prevention measures during an outbreak of respiratory tract infections. It also offers specific policy recommendations and application suggestions for new and existing buildings, contributing to creating a safer and healthier living environment.

在封锁政策和高密度城市地区，建筑环境与流行病传播之间的关系尤为明显。在 COVID-19 大流行期间和之后，非药物干预变得越来越重要。本研究提出了高密度城市抗流行住宅建筑设计的评价指标体系，涵盖场地规划、建筑设计、建筑设备和管理等整个设计过程。该系统包括 64 种设计策略，分为 15 个子类别和 4 个类别。然后，我们通过综合重要性和实施难度两个维度来评估每种策略的偏好度。我们对具有高密度城市抗大流行病设计经验的专家进行了问卷调查。通过模糊综合评价分析和 "偏好指数 "概念，确定了大流行爆发期间最重要、最实用的干预措施。结果表明，"服务与管理 "是需要优先考虑的类别，其次是 "物业管理"、"公共区域 "和 "建筑形态 "等子类别。在设计策略中，"废物容器"、"宣传和教育"、"地漏和水封 "以及 "环境清洁和消毒 "是排名前四位的推荐策略。本研究为政策制定者和从业人员提供了在呼吸道感染爆发时有效且易于实施的预防措施。它还为新建建筑和现有建筑提供了具体的政策建议和应用建议，有助于创造更安全、更健康的生活环境。

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引用次数: 0