IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i24p11007-d1544421.html
   My bibliography  Save this article

A Review of the Current Status and Prospects of Improving Indoor Environment for Lightweight Buildings in High-Altitude Cold Regions

Author

Listed:
  • Ziming Liao

    (Army Logistics Academy, Chongqing 401331, China)

  • Chunlong Zhuang

    (Army Logistics Academy, Chongqing 401331, China)

  • Guangqin Huang

    (Army Logistics Academy, Chongqing 401331, China)

  • Hongyu Zhang

    (Army Logistics Academy, Chongqing 401331, China)

  • Shengbo Li

    (Army Logistics Academy, Chongqing 401331, China)

  • Xinyi Zhang

    (Army Logistics Academy, Chongqing 401331, China)

  • Lei Cheng

    (Army Logistics Academy, Chongqing 401331, China)

  • Fei Gan

    (Army Logistics Academy, Chongqing 401331, China)

Abstract

Lightweight structures, characterized by rapid assembly, are vital for creating habitats in outdoor environments, but their implementation in high-plateau cold regions encounters significant challenges in heating and ventilation. This paper systematically introduces the environmental characteristics and reviews the demands and primary influencing factors of indoor environments in these regions. The advantages and limitations of underground lightweight construction are also discussed. Current research indicates that evaluation methods for air quality in high-altitude cold regions require further development. Reducing building heat loss and minimizing cold air infiltration can enhance indoor environments and lower energy consumption. However, it is essential to establish effective ventilation strategies to prevent the accumulation of air pollutants. Then, potential passive ventilation improvement measures suitable for the environmental characteristics of high-cold plateaus are outlined. The application potential and possible limitations of these measures are summarized, providing references for future research. Finally, the main research methods for ventilation and heating within building interiors are organized and discussed. Findings indicate that computational fluid dynamics models are predominantly used, but they demonstrate low efficiency and high resource consumption for medium- to large-scale applications. Integrating these models with network models can achieve a balance of high computational accuracy and efficiency.

Suggested Citation

  • Ziming Liao & Chunlong Zhuang & Guangqin Huang & Hongyu Zhang & Shengbo Li & Xinyi Zhang & Lei Cheng & Fei Gan, 2024. "A Review of the Current Status and Prospects of Improving Indoor Environment for Lightweight Buildings in High-Altitude Cold Regions," Sustainability, MDPI, vol. 16(24), pages 1-27, December.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:24:p:11007-:d:1544421
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/24/11007/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/24/11007/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hughes, Ben Richard & Calautit, John Kaiser & Ghani, Saud Abdul, 2012. "The development of commercial wind towers for natural ventilation: A review," Applied Energy, Elsevier, vol. 92(C), pages 606-627.
    2. Moghtader Gilvaei, Zoleikha & Haghighi Poshtiri, Amin & Mirzazade Akbarpoor, Ali, 2022. "A novel passive system for providing natural ventilation and passive cooling: Evaluating thermal comfort and building energy," Renewable Energy, Elsevier, vol. 198(C), pages 463-483.
    3. Nguyen, Anh-Tuan & Reiter, Sigrid & Rigo, Philippe, 2014. "A review on simulation-based optimization methods applied to building performance analysis," Applied Energy, Elsevier, vol. 113(C), pages 1043-1058.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Qingsong Ma & Guangwei Qian & Menghui Yu & Lingrui Li & Xindong Wei, 2024. "Performance of Windcatchers in Improving Indoor Air Quality, Thermal Comfort, and Energy Efficiency: A Review," Sustainability, MDPI, vol. 16(20), pages 1-26, October.
    2. Heidari, Sahar & Poshtiri, Amin Haghighi & Gilvaei, Zoleikha Moghtader, 2024. "Enhancing thermal comfort and natural ventilation in residential buildings: A design and assessment of an integrated system with horizontal windcatcher and evaporative cooling channels," Energy, Elsevier, vol. 289(C).
    3. Liu, Miaomiao & Nejat, Payam & Cao, Pinlu & Jimenez-Bescos, Carlos & Calautit, John Kaiser, 2024. "A critical review of windcatcher ventilation: Micro-environment, techno-economics, and commercialisation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    4. Benedek Kiss & Jose Dinis Silvestre & Rita Andrade Santos & Zsuzsa Szalay, 2021. "Environmental and Economic Optimisation of Buildings in Portugal and Hungary," Sustainability, MDPI, vol. 13(24), pages 1-19, December.
    5. Montazeri, H. & Montazeri, F., 2018. "CFD simulation of cross-ventilation in buildings using rooftop wind-catchers: Impact of outlet openings," Renewable Energy, Elsevier, vol. 118(C), pages 502-520.
    6. Guariso, Giorgio & Sangiorgio, Matteo, 2019. "Multi-objective planning of building stock renovation," Energy Policy, Elsevier, vol. 130(C), pages 101-110.
    7. Sun, Alexander Y., 2020. "Optimal carbon storage reservoir management through deep reinforcement learning," Applied Energy, Elsevier, vol. 278(C).
    8. Waibel, Christoph & Evins, Ralph & Carmeliet, Jan, 2019. "Co-simulation and optimization of building geometry and multi-energy systems: Interdependencies in energy supply, energy demand and solar potentials," Applied Energy, Elsevier, vol. 242(C), pages 1661-1682.
    9. Kokaraki, Nikoleta & Hopfe, Christina J. & Robinson, Elaine & Nikolaidou, Elli, 2019. "Testing the reliability of deterministic multi-criteria decision-making methods using building performance simulation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 991-1007.
    10. Li, Min & Zhou, Dongyi & Jiang, Yaqing, 2021. "Preparation and thermal storage performance of phase change ceramsite sand and thermal storage light-weight concrete," Renewable Energy, Elsevier, vol. 175(C), pages 143-152.
    11. Ascione, Fabrizio & De Masi, Rosa Francesca & de Rossi, Filippo & Ruggiero, Silvia & Vanoli, Giuseppe Peter, 2016. "Optimization of building envelope design for nZEBs in Mediterranean climate: Performance analysis of residential case study," Applied Energy, Elsevier, vol. 183(C), pages 938-957.
    12. Tian, Wei & Song, Jitian & Li, Zhanyong & de Wilde, Pieter, 2014. "Bootstrap techniques for sensitivity analysis and model selection in building thermal performance analysis," Applied Energy, Elsevier, vol. 135(C), pages 320-328.
    13. Fernandes, Marco S. & Rodrigues, Eugénio & Gaspar, Adélio Rodrigues & Costa, José J. & Gomes, Álvaro, 2019. "The impact of thermal transmittance variation on building design in the Mediterranean region," Applied Energy, Elsevier, vol. 239(C), pages 581-597.
    14. Tong, Zheming & Chen, Yujiao & Malkawi, Ali & Liu, Zhu & Freeman, Richard B., 2016. "Energy saving potential of natural ventilation in China: The impact of ambient air pollution," Applied Energy, Elsevier, vol. 179(C), pages 660-668.
    15. Niemelä, Tuomo & Kosonen, Risto & Jokisalo, Juha, 2016. "Cost-optimal energy performance renovation measures of educational buildings in cold climate," Applied Energy, Elsevier, vol. 183(C), pages 1005-1020.
    16. Eva Lucas Segarra & Germán Ramos Ruiz & Vicente Gutiérrez González & Antonis Peppas & Carlos Fernández Bandera, 2020. "Impact Assessment for Building Energy Models Using Observed vs. Third-Party Weather Data Sets," Sustainability, MDPI, vol. 12(17), pages 1-27, August.
    17. Radoslav Ponechal & Peter Krušinský & Peter Kysela & Peter Pisca, 2021. "Simulations of Airflow in the Roof Space of a Gothic Sanctuary Using CFD Models," Energies, MDPI, vol. 14(12), pages 1-20, June.
    18. Tatchell-Evans, Morgan & Kapur, Nik & Summers, Jonathan & Thompson, Harvey & Oldham, Dan, 2017. "An experimental and theoretical investigation of the extent of bypass air within data centres employing aisle containment, and its impact on power consumption," Applied Energy, Elsevier, vol. 186(P3), pages 457-469.
    19. Afaq Hyder Chohan & Jihad Awad, 2022. "Wind Catchers: An Element of Passive Ventilation in Hot, Arid and Humid Regions, a Comparative Analysis of Their Design and Function," Sustainability, MDPI, vol. 14(17), pages 1-23, September.
    20. Lin, Yu-Hao & Tsai, Kang-Ting & Lin, Min-Der & Yang, Ming-Der, 2016. "Design optimization of office building envelope configurations for energy conservation," Applied Energy, Elsevier, vol. 171(C), pages 336-346.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2024:i:24:p:11007-:d:1544421. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.