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    Energy and Buildings

    Energy and Buildings

    JournalISSN 0378-7788eISSN 1872-6178中科院 工程技术 2区

    年发文量

    研究主题

    论文(17476)

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    1NewIntegrated Experimental, Machine Learning Prediction, and Multi-Objective Optimization for Rotary Desiccant Systems for Air Conditioning Applications
    Mohamed A. Saber
    2027
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    2NewClimate-adaptive Machine Learning for Lifetime Yield Uncertainty of Building PV Systems: Dynamic Historical Windows and Exceedance Probability
    Jingyuan Tan,Wei Tian, Feng Li, SongTao Chen, Shengbin Chen
    2027
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    3NewPlant-transpiration-inspired Double-Layer Porous Hygroscopic Membrane with Adaptive Moisture Regulation for All-Day Thermal Management
    Fan Fei, Jiacheng Li, Yang Yu, Jiayi Tian,Xiaohang Pan,Jundie Hu,Jiafu Qu,Dan Tian,Yahui Cai
    2027
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    4NewOperational Energy Demand for Indoor Pool Halls: a Physics-Based Energy Modelling Approach for Aquatic Centers
    Lakkitha Liyanage,Kasun Hewage,Sandun Wanniarachchi,Haonan Zhang,Rehan Sadiq

    Aquatic centers are recreational facilities that accommodate amenities such as swimming pool halls, gyms, restaurants, studios, and sports halls to meet diverse user needs. Among these amenities, indoor swimming pool halls are notably identified as more energy intensive. Unlike other buildings, assessing the energy performance of these pool halls is challenging due to the inherent interactions between indoor air conditions and pool water surfaces. The lack of reliable operational data limits accurate energy assessments, while the limited capability of simulation tools further constrains comprehensive energy performance analyses. This study developed a physics-based energy modelling approach by integrating energy simulations with established governing thermal and mass-transfer equations to capture the coupled interactions between indoor air and water surfaces. The proposed approach was applied to an existing indoor pool hall in British Columbia, Canada. A total of 729 operational scenarios were evaluated by varying critical parameters, including indoor air temperature, pool water temperature, relative humidity, and ventilation. The results revealed that lower indoor air and pool water temperature ranges, combined with higher relative humidity levels, led to reduced total energy use. Pool water heating accounted for the largest share of energy use, approximately 49% of the total, followed by ventilation fans (20%) and dehumidification (11%), respectively. Operational upgrade scenarios yielded up to 30% energy savings, with ventilation and pool water temperatures contributing over 90% to variations in total energy use. The findings of this study provide practical guidance on operations and their implications, enabling evaluation and implementation of energy efficiency measures.

    2027
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    5NewComparative Energy Performance of a Workstation-Based Radiant Cooling System Against Conventional Radiant and All-Air Systems in Office Buildings
    Haifeng Guo, Lan Jiang, Zhibin Wang,Shaowen Shang, Panyang Jin
    2027
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    立即登录,查看全部 17476 篇论文

    高被引作者

    作者引用发文
    Mat Santamouris11568107
    Luis Perez-Lombard106056
    José Ortiz105164
    Christine Pout98493
    J. Fergus Nicol723718
    Richard de Dear676231
    Bjørn Petter Jelle619422
    Luisa F. Cabeza Fabra560151
    Tianzhen Hong557457
    Igor Sartori552621

    高产作者

    作者引用发文
    Mat Santamouris11568107
    Da Yan484572
    Tianzhen Hong557457
    Xiaohua Liu196554
    Luisa F. Cabeza Fabra560151
    Roberto Lamberts310748
    Jeong Tai Kim246647
    Xiaosong Zhang241647
    Shiming Deng193746
    Fariborz Haghighat427844

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