IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i23p5814-d1525796.html
   My bibliography  Save this article

Assessment of the Actual and Required Cooling Demand for Buildings with Extensive Transparent Surfaces

Author

Listed:
  • Attila Kostyák

    (Department of Building Services and Building Engineering, Faculty of Engineering, University of Debrecen, Ótemető Str. 2-4, 4028 Debrecen, Hungary)

  • Szabolcs Szekeres

    (Department of Building Services and Building Engineering, Faculty of Engineering, University of Debrecen, Ótemető Str. 2-4, 4028 Debrecen, Hungary)

  • Imre Csáky

    (Department of Building Services and Building Engineering, Faculty of Engineering, University of Debrecen, Ótemető Str. 2-4, 4028 Debrecen, Hungary)

Abstract

Energy consumption in buildings with large, glazed facades rises markedly in the summer, driven by cooling demands that vary with structural characteristics and external climate conditions. This study is unique in examining daily cooling needs in lightweight and heavyweight constructions, utilizing meteorological data from 782 summer days in Debrecen, Hungary. Unlike standard approaches, which often overlook localized meteorological variables, this analysis focuses on actual “clear sky” scenarios across distinct summer day types: normal, hot, and torrid. The findings indicate that orientation and construction type significantly affect cooling demands, with east-facing rooms demanding up to 14.2% more cooling in lightweight structures and up to 35.8% in heavyweight structures during peak hours (8 a.m. to 4 p.m.). This study reveals that for west-facing facades, extending use beyond 4 p.m. markedly increases energy loads. Furthermore, the cooling demand peak for heavyweight buildings occurs later in the day, driven by their higher thermal capacity. These insights underscore the importance of aligning HVAC system design with operational schedules and building orientation, offering data-driven strategies to enhance energy efficiency in buildings with diverse thermal and solar exposure profiles.

Suggested Citation

  • Attila Kostyák & Szabolcs Szekeres & Imre Csáky, 2024. "Assessment of the Actual and Required Cooling Demand for Buildings with Extensive Transparent Surfaces," Energies, MDPI, vol. 17(23), pages 1-19, November.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:23:p:5814-:d:1525796
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/23/5814/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/17/23/5814/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Huang, Kuo-Tsang & Hwang, Ruey-Lung, 2016. "Future trends of residential building cooling energy and passive adaptation measures to counteract climate change: The case of Taiwan," Applied Energy, Elsevier, vol. 184(C), pages 1230-1240.
    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. Bell, N.O. & Bilbao, J.I. & Kay, M. & Sproul, A.B., 2022. "Future climate scenarios and their impact on heating, ventilation and air-conditioning system design and performance for commercial buildings for 2050," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    2. Ma, Jun & Cheng, Jack C.P., 2016. "Identifying the influential features on the regional energy use intensity of residential buildings based on Random Forests," Applied Energy, Elsevier, vol. 183(C), pages 193-201.
    3. 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.
    4. Bai, Lujian & Wang, Shusheng, 2019. "Definition of new thermal climate zones for building energy efficiency response to the climate change during the past decades in China," Energy, Elsevier, vol. 170(C), pages 709-719.
    5. Amin Mohammadi & Mahmoud Reza Saghafi & Mansoureh Tahbaz & Farshad Nasrollahi, 2017. "Effects of Vernacular Climatic Strategies (VCS) on Energy Consumption in Common Residential Buildings in Southern Iran: The Case Study of Bushehr City," Sustainability, MDPI, vol. 9(11), pages 1-26, October.
    6. Baglivo, Cristina & Congedo, Paolo Maria & Murrone, Graziano & Lezzi, Dalila, 2022. "Long-term predictive energy analysis of a high-performance building in a mediterranean climate under climate change," Energy, Elsevier, vol. 238(PA).
    7. Ma, Jun & Cheng, Jack C.P., 2016. "Estimation of the building energy use intensity in the urban scale by integrating GIS and big data technology," Applied Energy, Elsevier, vol. 183(C), pages 182-192.
    8. Pérez-Andreu, Víctor & Aparicio-Fernández, Carolina & Martínez-Ibernón, Ana & Vivancos, José-Luis, 2018. "Impact of climate change on heating and cooling energy demand in a residential building in a Mediterranean climate," Energy, Elsevier, vol. 165(PA), pages 63-74.
    9. Waqas Ahmed Mahar & Griet Verbeeck & Sigrid Reiter & Shady Attia, 2020. "Sensitivity Analysis of Passive Design Strategies for Residential Buildings in Cold Semi-Arid Climates," Sustainability, MDPI, vol. 12(3), pages 1-22, February.
    10. Kočí, Jan & Kočí, Václav & Maděra, Jiří & Černý, Robert, 2019. "Effect of applied weather data sets in simulation of building energy demands: Comparison of design years with recent weather data," Renewable and Sustainable Energy Reviews, Elsevier, vol. 100(C), pages 22-32.
    11. Dany Perwita Sari & Yun-Shang Chiou, 2019. "Do Energy Conservation Strategies Limit the Freedom of Architecture Design? A Case Study of Minsheng Community, Taipei, Taiwan," Sustainability, MDPI, vol. 11(7), pages 1-23, April.
    12. Attila Kostyák & Csaba Béres & Szabolcs Szekeres & Imre Csáky, 2022. "Buffer Tank Discharge Strategies in the Case of a Centrifugal Water Chiller," Energies, MDPI, vol. 16(1), pages 1-15, December.
    13. Mata, Érika & Wanemark, Joel & Nik, Vahid M. & Sasic Kalagasidis, Angela, 2019. "Economic feasibility of building retrofitting mitigation potentials: Climate change uncertainties for Swedish cities," Applied Energy, Elsevier, vol. 242(C), pages 1022-1035.
    14. Delorit, Justin D. & Schuldt, Steven J. & Chini, Christopher M., 2020. "Evaluating an adaptive management strategy for organizational energy use under climate uncertainty," Energy Policy, Elsevier, vol. 142(C).
    15. Chen, Xi & Yang, Hongxing & Sun, Ke, 2017. "Developing a meta-model for sensitivity analyses and prediction of building performance for passively designed high-rise residential buildings," Applied Energy, Elsevier, vol. 194(C), pages 422-439.
    16. Gábor L. Szabó & Ferenc Kalmár, 2018. "Parametric Analysis of Buildings’ Heat Load Depending on Glazing—Hungarian Case Study," Energies, MDPI, vol. 11(12), pages 1-16, November.
    17. Wei, Shuangyu & Tien, Paige Wenbin & Calautit, John Kaiser & Wu, Yupeng & Boukhanouf, Rabah, 2020. "Vision-based detection and prediction of equipment heat gains in commercial office buildings using a deep learning method," Applied Energy, Elsevier, vol. 277(C).
    18. Lizana, Jesus & de-Borja-Torrejon, Manuel & Barrios-Padura, Angela & Auer, Thomas & Chacartegui, Ricardo, 2019. "Passive cooling through phase change materials in buildings. A critical study of implementation alternatives," Applied Energy, Elsevier, vol. 254(C).
    19. Anne Fitchett & Privashen Govender & Priya Vallabh, 2020. "An exploration of green roofs for indoor and exterior temperature regulation in the South African interior," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(6), pages 5025-5044, August.
    20. Burillo, Daniel & Chester, Mikhail V. & Pincetl, Stephanie & Fournier, Eric D. & Reyna, Janet, 2019. "Forecasting peak electricity demand for Los Angeles considering higher air temperatures due to climate change," Applied Energy, Elsevier, vol. 236(C), pages 1-9.

    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:jeners:v:17:y:2024:i:23:p:5814-:d:1525796. 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.