IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v298y2021ics0306261921005407.html
   My bibliography  Save this article

Framework for the ISO 52016 standard accuracy prediction based on the in-depth sensitivity analysis

Author

Listed:
  • Zakula, Tea
  • Badun, Nikola
  • Ferdelji, Nenad
  • Ugrina, Ivo

Abstract

We present here a comprehensive study on the accuracy of ISO 52016-1:2017 standard (the Standard), and provide a novel, widely applicable framework for its assessment. The global sensitivity analysis and predictive modeling have been utilized to explore the intricacies of differences between the Standard and dynamic simulations in TRNSYS. The study includes more than 147 thousand cases with diverse combinations of building characteristics and all international climate zones. The main conclusion is that the Standard has good accuracy in the calculation of heating energy needs, while it is much less accurate in the calculation of cooling energy needs. For climates in which heating is dominant, 100% of cases had acceptable accuracy; in contrast, only 30–70% of cases in moderate climates had an acceptable accuracy. Consequently, we propose improvements to the Standard, suggesting that considerable benefits could be obtained if the variability of window properties based on the boundary conditions at each time step is implemented. The proposed method results in significant improvements since the number of acceptable cases for cooling in moderate climates has increased to 75–100%. This has been quantified for a great variety of window properties and for all climates. An online tool has been provided, enabling the estimation of the expected relative difference between the Standard and TRNSYS for a specific building.

Suggested Citation

  • Zakula, Tea & Badun, Nikola & Ferdelji, Nenad & Ugrina, Ivo, 2021. "Framework for the ISO 52016 standard accuracy prediction based on the in-depth sensitivity analysis," Applied Energy, Elsevier, vol. 298(C).
    • Handle: RePEc:eee:appene:v:298:y:2021:i:c:s0306261921005407
    DOI: 10.1016/j.apenergy.2021.117089
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261921005407
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2021.117089?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Yıldız, Yusuf & Arsan, Zeynep Durmuş, 2011. "Identification of the building parameters that influence heating and cooling energy loads for apartment buildings in hot-humid climates," Energy, Elsevier, vol. 36(7), pages 4287-4296.
    2. Ilaria Ballarini & Andrea Costantino & Enrico Fabrizio & Vincenzo Corrado, 2020. "A Methodology to Investigate the Deviations between Simple and Detailed Dynamic Methods for the Building Energy Performance Assessment," Energies, MDPI, vol. 13(23), pages 1-19, November.
    3. Zakula, Tea & Bagaric, Marina & Ferdelji, Nenad & Milovanovic, Bojan & Mudrinic, Sasa & Ritosa, Katia, 2019. "Comparison of dynamic simulations and the ISO 52016 standard for the assessment of building energy performance," Applied Energy, Elsevier, vol. 254(C).
    4. H. Christopher Frey & Sumeet R. Patil, 2002. "Identification and Review of Sensitivity Analysis Methods," Risk Analysis, John Wiley & Sons, vol. 22(3), pages 553-578, June.
    5. Heiselberg, Per & Brohus, Henrik & Hesselholt, Allan & Rasmussen, Henrik & Seinre, Erkki & Thomas, Sara, 2009. "Application of sensitivity analysis in design of sustainable buildings," Renewable Energy, Elsevier, vol. 34(9), pages 2030-2036.
    6. Li, Hangxin & Wang, Shengwei & Cheung, Howard, 2018. "Sensitivity analysis of design parameters and optimal design for zero/low energy buildings in subtropical regions," Applied Energy, Elsevier, vol. 228(C), pages 1280-1291.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Giovanna De Luca & Franz Bianco Mauthe Degerfeld & Ilaria Ballarini & Vincenzo Corrado, 2021. "Accuracy of Simplified Modelling Assumptions on External and Internal Driving Forces in the Building Energy Performance Simulation," Energies, MDPI, vol. 14(20), pages 1-22, October.
    2. Serena Summa & Giada Remia & Ambra Sebastianelli & Gianluca Coccia & Costanzo Di Perna, 2022. "Impact on Thermal Energy Needs Caused by the Use of Different Solar Irradiance Decomposition and Transposition Models: Application of EN ISO 52016-1 and EN ISO 52010-1 Standards for Five European Citi," Energies, MDPI, vol. 15(23), pages 1-18, November.
    3. Amin Nouri & Christoph van Treeck & Jérôme Frisch, 2024. "Sensitivity Assessment of Building Energy Performance Simulations Using MARS Meta-Modeling in Combination with Sobol’ Method," Energies, MDPI, vol. 17(3), pages 1-24, January.

    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. Abdo Abdullah Ahmed Gassar & Choongwan Koo & Tae Wan Kim & Seung Hyun Cha, 2021. "Performance Optimization Studies on Heating, Cooling and Lighting Energy Systems of Buildings during the Design Stage: A Review," Sustainability, MDPI, vol. 13(17), pages 1-47, September.
    2. Zhao, Zeming & Li, Hangxin & Wang, Shengwei, 2022. "Identification of the key design parameters of Zero/low energy buildings and the impacts of climate and building morphology," Applied Energy, Elsevier, vol. 328(C).
    3. Saurbayeva, Assemgul & Memon, Shazim Ali & Kim, Jong, 2023. "Integrated multi-stage sensitivity analysis and multi-objective optimization approach for PCM integrated residential buildings in different climate zones," Energy, Elsevier, vol. 278(PB).
    4. 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.
    5. Piotr Michalak, 2023. "Simulation and Experimental Study on the Use of Ventilation Air for Space Heating of a Room in a Low-Energy Building," Energies, MDPI, vol. 16(8), pages 1-17, April.
    6. Yildiz, Yusuf & Korkmaz, Koray & Göksal Özbalta, Türkan & Durmus Arsan, Zeynep, 2012. "An approach for developing sensitive design parameter guidelines to reduce the energy requirements of low-rise apartment buildings," Applied Energy, Elsevier, vol. 93(C), pages 337-347.
    7. Huang, He & Wang, Honglei & Hu, Yu-Jie & Li, Chengjiang & Wang, Xiaolin, 2022. "Optimal plan for energy conservation and CO2 emissions reduction of public buildings considering users' behavior: Case of China," Energy, Elsevier, vol. 261(PA).
    8. D'Agostino, Delia & Congedo, Paolo Maria & Albanese, Paola Maria & Rubino, Alessandro & Baglivo, Cristina, 2024. "Impact of climate change on the energy performance of building envelopes and implications on energy regulations across Europe," Energy, Elsevier, vol. 288(C).
    9. Su, Ziyi & Li, Xiaofeng, 2022. "Extraction of key parameters and simplification of sub-system energy models using sensitivity analysis in subway stations," Energy, Elsevier, vol. 261(PA).
    10. Yingying Zhou & Christiane Margerita Herr, 2023. "A Review of Advanced Façade System Technologies to Support Net-Zero Carbon High-Rise Building Design in Subtropical China," Sustainability, MDPI, vol. 15(4), pages 1-23, February.
    11. 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.
    12. Giovanna De Luca & Franz Bianco Mauthe Degerfeld & Ilaria Ballarini & Vincenzo Corrado, 2021. "Accuracy of Simplified Modelling Assumptions on External and Internal Driving Forces in the Building Energy Performance Simulation," Energies, MDPI, vol. 14(20), pages 1-22, October.
    13. Naji, Sareh & Aye, Lu & Noguchi, Masa, 2021. "Sensitivity analysis on energy performance, thermal and visual discomfort of a prefabricated house in six climate zones in Australia," Applied Energy, Elsevier, vol. 298(C).
    14. Habiba Aly & Omar Abdelaziz, 2024. "Sustainable Design Trends in the Built-Environment Globally and in Egypt: A Literature Review," Sustainability, MDPI, vol. 16(12), pages 1-25, June.
    15. Wan Mohd Nazi, Wan Iman & Royapoor, Mohammad & Wang, Yaodong & Roskilly, Anthony Paul, 2017. "Office building cooling load reduction using thermal analysis method – A case study," Applied Energy, Elsevier, vol. 185(P2), pages 1574-1584.
    16. Gang, Wenjie & Wang, Shengwei & Xiao, Fu & Gao, Dian-ce, 2015. "Robust optimal design of building cooling systems considering cooling load uncertainty and equipment reliability," Applied Energy, Elsevier, vol. 159(C), pages 265-275.
    17. Yibing Xue & Wenhan Liu, 2022. "A Study on Parametric Design Method for Optimization of Daylight in Commercial Building’s Atrium in Cold Regions," Sustainability, MDPI, vol. 14(13), pages 1-22, June.
    18. Li, Hangxin & Wang, Shengwei & Cheung, Howard, 2018. "Sensitivity analysis of design parameters and optimal design for zero/low energy buildings in subtropical regions," Applied Energy, Elsevier, vol. 228(C), pages 1280-1291.
    19. Makam, Vaishno Devi & Millossovich, Pietro & Tsanakas, Andreas, 2021. "Sensitivity analysis with χ2-divergences," Insurance: Mathematics and Economics, Elsevier, vol. 100(C), pages 372-383.
    20. S. Cucurachi & E. Borgonovo & R. Heijungs, 2016. "A Protocol for the Global Sensitivity Analysis of Impact Assessment Models in Life Cycle Assessment," Risk Analysis, John Wiley & Sons, vol. 36(2), pages 357-377, February.

    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:eee:appene:v:298:y:2021:i:c:s0306261921005407. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.