IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i18p4974-d417402.html
   My bibliography  Save this article

Comparative Analysis on Load Characteristic of Intermittently Conditioned Buildings for Different Wall Insulation Forms

Author

Listed:
  • Liting Yuan

    (School of Civil Engineering and Architecture, Zhejiang Sci-Tech University, Hangzhou 310018, China)

  • Zhiyi Wang

    (School of Civil Engineering and Architecture, Zhejiang Sci-Tech University, Hangzhou 310018, China)

  • Yanyan Huang

    (School of Civil Engineering and Architecture, Zhejiang Sci-Tech University, Hangzhou 310018, China)

  • Xiaolong Wang

    (School of Thermal Engineering, Shandong Jianzhu University, Jinan 250101, China)

Abstract

The Air-conditioning System (ACS), used in office buildings in the hot summer and cold winter zone of China, are always operate intermittently. The dynamic thermal behaviors of building walls with real climate conditions may be different from those with only the representative day’s climate conditions, due to the time varying nature of the climate, which will lead to the variation of the ACS loads. A numerical calculation was performed to analyze the effects of insulation form on heat behavior of external walls and ACS loads. The results indicate that cooling transmission load with inside insulation reaches its maximum value when the solar-air temperature in daytime is the highest, while that with outside insulation occurs at the time when the air temperature at night is the highest during summer. Heating transmission load for the wall with external and internal insulation both peaks in the day with lowest mean outdoor temperature during the last non-working period. Inside insulation can be considered a better way to reduce the peak load, peak-valley load difference and energy consumption.

Suggested Citation

  • Liting Yuan & Zhiyi Wang & Yanyan Huang & Xiaolong Wang, 2020. "Comparative Analysis on Load Characteristic of Intermittently Conditioned Buildings for Different Wall Insulation Forms," Energies, MDPI, vol. 13(18), pages 1-15, September.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:18:p:4974-:d:417402
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/18/4974/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/13/18/4974/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. A.M. Fogheri, 2015. "Energy Efficiency in Public Buildings," Rivista economica del Mezzogiorno, Società editrice il Mulino, issue 3-4, pages 763-784.
    2. Daouas, Naouel, 2011. "A study on optimum insulation thickness in walls and energy savings in Tunisian buildings based on analytical calculation of cooling and heating transmission loads," Applied Energy, Elsevier, vol. 88(1), pages 156-164, January.
    3. Sadineni, Suresh B. & Madala, Srikanth & Boehm, Robert F., 2011. "Passive building energy savings: A review of building envelope components," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(8), pages 3617-3631.
    4. Shekarchian, M. & Moghavvemi, M. & Rismanchi, B. & Mahlia, T.M.I. & Olofsson, T., 2012. "The cost benefit analysis and potential emission reduction evaluation of applying wall insulation for buildings in Malaysia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4708-4718.
    5. Yu, Jinghua & Yang, Changzhi & Tian, Liwei & Liao, Dan, 2009. "A study on optimum insulation thicknesses of external walls in hot summer and cold winter zone of China," Applied Energy, Elsevier, vol. 86(11), pages 2520-2529, November.
    6. Al-Sanea, Sami A. & Zedan, M.F., 2011. "Improving thermal performance of building walls by optimizing insulation layer distribution and thickness for same thermal mass," Applied Energy, Elsevier, vol. 88(9), pages 3113-3124.
    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. Axaopoulos, Ioannis & Axaopoulos, Petros & Gelegenis, John, 2014. "Optimum insulation thickness for external walls on different orientations considering the speed and direction of the wind," Applied Energy, Elsevier, vol. 117(C), pages 167-175.
    2. Omer Kaynakli, 2011. "Parametric Investigation of Optimum Thermal Insulation Thickness for External Walls," Energies, MDPI, vol. 4(6), pages 1-15, June.
    3. Al-Sanea, Sami A. & Zedan, M.F., 2011. "Improving thermal performance of building walls by optimizing insulation layer distribution and thickness for same thermal mass," Applied Energy, Elsevier, vol. 88(9), pages 3113-3124.
    4. Pan, Dongmei & Chan, Mingyin & Deng, Shiming & Lin, Zhongping, 2012. "The effects of external wall insulation thickness on annual cooling and heating energy uses under different climates," Applied Energy, Elsevier, vol. 97(C), pages 313-318.
    5. Daouas, Naouel, 2016. "Impact of external longwave radiation on optimum insulation thickness in Tunisian building roofs based on a dynamic analytical model," Applied Energy, Elsevier, vol. 177(C), pages 136-148.
    6. Kaynakli, Omer, 2014. "Economic thermal insulation thickness for pipes and ducts: A review study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 184-194.
    7. Abdul Mujeebu, Muhammad & Alshamrani, Othman Subhi, 2016. "Prospects of energy conservation and management in buildings – The Saudi Arabian scenario versus global trends," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1647-1663.
    8. Valeria Annibaldi & Federica Cucchiella & Marianna Rotilio, 2020. "A Sustainable Solution for Energy Efficiency in Italian Climatic Contexts," Energies, MDPI, vol. 13(11), pages 1-16, June.
    9. Ozel, Meral, 2011. "Effect of wall orientation on the optimum insulation thickness by using a dynamic method," Applied Energy, Elsevier, vol. 88(7), pages 2429-2435, July.
    10. Axaopoulos, Ioannis & Axaopoulos, Petros & Panayiotou, Gregoris & Kalogirou, Soteris & Gelegenis, John, 2015. "Optimal economic thickness of various insulation materials for different orientations of external walls considering the wind characteristics," Energy, Elsevier, vol. 90(P1), pages 939-952.
    11. Sevindir, M. Kemal & Demir, Hakan & Ağra, Özden & Atayılmaz, Ş. Özgür & Teke, İsmail, 2017. "Modelling the optimum distribution of insulation material," Renewable Energy, Elsevier, vol. 113(C), pages 74-84.
    12. Yang, Liu & Yan, Haiyan & Lam, Joseph C., 2014. "Thermal comfort and building energy consumption implications – A review," Applied Energy, Elsevier, vol. 115(C), pages 164-173.
    13. Liu, Jiang & Liu, Yan & Yang, Liu & Liu, Tang & Zhang, Chen & Dong, Hong, 2020. "Climatic and seasonal suitability of phase change materials coupled with night ventilation for office buildings in Western China," Renewable Energy, Elsevier, vol. 147(P1), pages 356-373.
    14. Ozel, Meral, 2012. "The influence of exterior surface solar absorptivity on thermal characteristics and optimum insulation thickness," Renewable Energy, Elsevier, vol. 39(1), pages 347-355.
    15. Xin Ye & Jun Lu & Tao Zhang & Yupeng Wang & Hiroatsu Fukuda, 2021. "Improvements in Energy Saving and Thermal Environment after Retrofitting with Interior Insulation in Intermittently Cooled Residences in Hot-Summer/Cold-Winter Zone of China: A Case Study in Chengdu," Energies, MDPI, vol. 14(10), pages 1-20, May.
    16. Li, Danny H.W. & Yang, Liu & Lam, Joseph C., 2013. "Zero energy buildings and sustainable development implications – A review," Energy, Elsevier, vol. 54(C), pages 1-10.
    17. Krarti, Moncef & Dubey, Kankana & Howarth, Nicholas, 2017. "Evaluation of building energy efficiency investment options for the Kingdom of Saudi Arabia," Energy, Elsevier, vol. 134(C), pages 595-610.
    18. Nematchoua, Modeste Kameni & Raminosoa, Chrysostôme R.R. & Mamiharijaona, Ramaroson & René, Tchinda & Orosa, José A. & Elvis, Watis & Meukam, Pierre, 2015. "Study of the economical and optimum thermal insulation thickness for buildings in a wet and hot tropical climate: Case of Cameroon," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 1192-1202.
    19. Gencel, Osman & Danish, Aamar & Yilmaz, Mukremin & Erdogmus, Ertugrul & Sutcu, Mucahit & Sadak, Ferhat & Ozbakkaloglu, Togay, 2024. "Performance evaluation of phosphor-based luminescent bricks using different coating methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    20. Bektas Ekici, Betul & Aytac Gulten, Ayca & Aksoy, U. Teoman, 2012. "A study on the optimum insulation thicknesses of various types of external walls with respect to different materials, fuels and climate zones in Turkey," Applied Energy, Elsevier, vol. 92(C), pages 211-217.

    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:13:y:2020:i:18:p:4974-:d:417402. 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.