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Intelligent Buildings International最新文献

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Challenges to the adoption of biomimicry as a sustainable approach in the nigerian construction industry 尼日利亚建筑业采用生物仿生学作为可持续方法所面临的挑战
IF 2.1 Q2 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2024-07-16 DOI: 10.1080/17508975.2024.2370374
Olusegun Johnson Adekunye, Ayodeji Emmanuel Oke
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引用次数: 0
Towards digital-twin-enabled facility management: the natural language processing model for managing facilities in buildings 实现数字孪生设施管理:楼宇设施管理的自然语言处理模型
IF 2.1 Q2 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2024-07-10 DOI: 10.1080/17508975.2024.2370372
Linxuan Wang, Nanjiang Chen
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引用次数: 0
Energy-saving diagnosis of public buildings based on multi-objective optimization algorithm 基于多目标优化算法的公共建筑节能诊断
IF 2.1 Q2 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2024-07-03 DOI: 10.1080/17508975.2024.2369055
Yousheng Yuan, Chaoqin Bai
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引用次数: 0
Characteristics and urbanization of agricultural migrants in the Yangtze River Delta based on new-type urbanization perspective 基于新型城镇化视角的长三角农业转移人口特征及城镇化问题
IF 2.1 Q2 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2024-07-03 DOI: 10.1080/17508975.2024.2369052
Ruihong Nie, Jianwen Liu, Chaohui Zheng
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引用次数: 0
Identification of consumer routes in sensory tracking logs of a complex shopping mall environment 从复杂购物中心环境的感官跟踪日志中识别消费者路线
IF 2.3 Q2 Social Sciences Pub Date : 2024-05-24 DOI: 10.1080/17508975.2024.2356082
P. Repo, P. Timonen
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引用次数: 0
Enhancing visual comfort prediction in space layouts using deep learning models 利用深度学习模型加强空间布局的视觉舒适度预测
IF 2.3 Q2 Social Sciences Pub Date : 2024-05-19 DOI: 10.1080/17508975.2024.2351800
Amirali Ghourkhanehchi Zirak, Afshin Saeedian, Z. Zomorodian, M. Tahsildoost
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引用次数: 0
Simulation-based evaluation of low carbon design strategies for extreme climates 基于模拟的极端气候低碳设计战略评估
IF 2.3 Q2 Social Sciences Pub Date : 2024-02-19 DOI: 10.1080/17508975.2024.2303118
Argenis Toyo Diaz, S. Sajjadian
Extreme climate conditions present the greatest challenge in achieving thermal comfort in buildings. To address this issue, researchers have evaluated the e ff ectiveness of various low-carbon strategies in extreme climates, assessing their impact on comfort levels and carbon emissions. Among the strategies examined are shading, natural ventilation, dehumidi fi cation/humidi fi cation, insulation, and green roofs. This research uses dynamic thermal simulations to investigate the e ffi cacy of these strategies on a detached house in extremely dry, humid, and cold climates. Although the study found that insulation is the most e ff ective design strategy, a range of context-speci fi c design combinations can substantially reduce HVAC loads, with reductions of 39%, 32%, and 40% achievable for tropical, dry, and cold climates, respectively. These fi ndings underline the importance of carefully considering design strategies when constructing buildings in extreme climates. By employing a combination of insulation, shading, natural ventilation, and other low-carbon strategies, architects, and builders can create buildings that are more resilient and comfortable to inhabit while minimizing their carbon footprint.
极端气候条件是实现建筑物热舒适度的最大挑战。为了解决这个问题,研究人员评估了极端气候条件下各种低碳策略的有效性,评估了它们对舒适度和碳排放的影响。这些策略包括遮阳、自然通风、除湿/保湿、隔热和绿色屋顶。这项研究利用动态热模拟来调查这些策略在极端干燥、潮湿和寒冷气候条件下对独立式房屋的影响。尽管研究发现隔热是最有效的设计策略,但一系列针对具体环境的设计组合可大幅降低暖通空调负荷,在热带、干燥和寒冷气候条件下可分别降低 39%、32% 和 40%。这些结论强调了在极端气候条件下建造建筑时仔细考虑设计策略的重要性。通过将隔热、遮阳、自然通风和其他低碳策略相结合,建筑师和建筑商可以建造出更有弹性、居住更舒适的建筑,同时最大限度地减少碳足迹。
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引用次数: 0
Investigation of energy performance of nanotechnological material and double-skin facade system in office buildings in Turkiye 土耳其办公建筑中纳米技术材料和双层外墙系统的能源性能调查
IF 2.3 Q2 Social Sciences Pub Date : 2024-02-04 DOI: 10.1080/17508975.2024.2310059
Bahar Sultan Qurraie, Rahman Sertyamaç
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引用次数: 0
Application and development of BIM technology in prefabricated building design BIM 技术在预制建筑设计中的应用与发展
IF 2.3 Q2 Social Sciences Pub Date : 2024-02-04 DOI: 10.1080/17508975.2024.2308578
Mingming Zhao, Wanlu Zhang, Hua Xing, Na Zhang
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引用次数: 0
Application and development of BIM technology in prefabricated building design BIM 技术在预制建筑设计中的应用与发展
IF 2.3 Q2 Social Sciences Pub Date : 2024-02-04 DOI: 10.1080/17508975.2024.2308578
Mingming Zhao, Wanlu Zhang, Hua Xing, Na Zhang
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引用次数: 0
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Intelligent Buildings International
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