Tropical climates and the interplay between IEQ and energy consumption in buildings: A review

被引:14
作者
Verma, Ashutosh [1 ]
Gupta, Vallary [1 ]
Nihar, Kopal [2 ]
Jana, Arnab [1 ]
Jain, Rishee K. [2 ]
Deb, Chirag [1 ]
机构
[1] Indian Inst Technol, Ctr Urban Sci & Engn, Mumbai 400076, India
[2] Stanford Univ, Dept Civil & Environm Engn, Urban Informat Lab, 473 Via Ortega, Stanford, CA 94305 USA
关键词
Indoor environmental quality; Energy consumption; Tropical climate; Human comfort; Productivity; AI; INDOOR AIR-QUALITY; ARTIFICIAL NEURAL-NETWORK; SIMULATION-BASED OPTIMIZATION; THERMAL COMFORT MODELS; VISUAL COMFORT; ENVIRONMENTAL-QUALITY; VENTILATION CONTROL; BUILT ENVIRONMENT; PREDICTION MODEL; ACOUSTIC COMFORT;
D O I
10.1016/j.buildenv.2023.110551
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Indoor environmental quality (IEQ) can impact human health, well-being, and productivity. This paper reviews the couplings between IEQ which consists of thermal, acoustic, visual comfort, and indoor air quality, and parameters such as human comfort and productivity, with the overarching aim of ensuring a healthy environment while reducing energy consumption in buildings. At current rates of population growth, it is anticipated that the tropics would be home to over half of the world's people by 2050, hence, special attention is paid to studies conducted in tropical climates to prepare a comprehensive review with a specific climatic context. Notably,we highlight the need for more data-driven IEQ research in tropical regions, the importance of broadening the scope of and maintaining uniformity in IEQ standards, and the significance of an adaptive and sustainable built environment as we move ahead. A discussion highlighting the existing challenges and opportunities - especially the integration of AI - for future research in the area is also presented.
引用
收藏
页数:17
相关论文
共 50 条
  • [41] AI Enabled Energy Consumption Predictor for Smart Buildings
    Das, Smrutishikta
    Choudhury, Tapas Kumar
    Dash, Sanjit Kumar
    Mishra, Jibitesh
    INTELLIGENT SYSTEMS AND APPLICATIONS, ICISA 2022, 2023, 959 : 457 - 466
  • [42] A review of energy efficiency potentials in tropical buildings - Perspective of enclosed common areas
    Kwong, Qi Jie
    Ali, Yusoff
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2011, 15 (09) : 4548 - 4553
  • [43] A novel hybrid passive cooling system for providing thermal comfort conditions and reducing energy consumption in buildings in hot climates
    Alkaragoly, Mohammed
    Maerefat, Mehdi
    Targhi, Mohammed Zabetian
    RENEWABLE ENERGY, 2024, 234
  • [44] The Interplay between Air Quality and Energy Efficiency in Museums, a Review
    Dabanlis, Georgios
    Loupa, Glykeria
    Tsalidis, Georgios Archimidis
    Kostenidou, Evangelia
    Rapsomanikis, Spyridon
    APPLIED SCIENCES-BASEL, 2023, 13 (09):
  • [45] Energy Consumption of Beech Timber Drying in Oscillation Climates
    Milic, Goran
    Kolin, Branko
    Todorovic, Nebojsa
    Gorisek, Zeljko
    DRVNA INDUSTRIJA, 2014, 65 (04) : 309 - 314
  • [46] Energy and Water Consumption Variability in School Buildings: Review and Application of Clustering Techniques
    Almeida, Ricardo M. S. F.
    Ramos, Nuno M. M.
    Lurdes Simoes, M.
    de Freitas, Vasco P.
    JOURNAL OF PERFORMANCE OF CONSTRUCTED FACILITIES, 2015, 29 (06)
  • [47] Intelligent deep learning techniques for energy consumption forecasting in smart buildings: a review
    R. Mathumitha
    P. Rathika
    K. Manimala
    Artificial Intelligence Review, 57
  • [48] Optimization of Energy Consumption in Public Buildings
    Pop, Horatiu
    Grama, Alin
    PROCEEDINGS OF 9TH INTERNATIONAL CONFERENCE ON MODERN POWER SYSTEMS (MPS 2021), 2021,
  • [49] Prediction of the Energy Consumption of School Buildings
    Alshibani, Adel
    APPLIED SCIENCES-BASEL, 2020, 10 (17):
  • [50] Assessment of energy consumption in existing buildings
    Brady, Laurence
    Abdellatif, Mawada
    ENERGY AND BUILDINGS, 2017, 149 : 142 - 150