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Pregled bibliografske jedinice broj: 1137553

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


Zakula, Tea; Badun, Nikola; Ferdelji, Nenad; Ugrina, Ivo
Framework for the ISO 52016 standard accuracy prediction based on the in-depth sensitivity analysis // Applied energy, 298 (2021), 117089, 20 doi:10.1016/j.apenergy.2021.117089 (međunarodna recenzija, članak, znanstveni)


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

Autori
Zakula, Tea ; Badun, Nikola ; Ferdelji, Nenad ; Ugrina, Ivo

Izvornik
Applied energy (0306-2619) 298 (2021); 117089, 20

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
ISO 52016 ; Accuracy estimation ; Error prediction ; Sensitivity analysis ; Building energy performance

Sažetak
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.

Izvorni jezik
Engleski



POVEZANOST RADA


Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb,
Prirodoslovno-matematički fakultet, Split

Profili:

Avatar Url Nikola Bađun (autor)

Avatar Url Ivo Ugrina (autor)

Avatar Url Nenad Ferdelji (autor)

Avatar Url Tea Žakula (autor)

Poveznice na cjeloviti tekst rada:

doi

Citiraj ovu publikaciju:

Zakula, Tea; Badun, Nikola; Ferdelji, Nenad; Ugrina, Ivo
Framework for the ISO 52016 standard accuracy prediction based on the in-depth sensitivity analysis // Applied energy, 298 (2021), 117089, 20 doi:10.1016/j.apenergy.2021.117089 (međunarodna recenzija, članak, znanstveni)
Zakula, T., Badun, N., Ferdelji, N. & Ugrina, I. (2021) Framework for the ISO 52016 standard accuracy prediction based on the in-depth sensitivity analysis. Applied energy, 298, 117089, 20 doi:10.1016/j.apenergy.2021.117089.
@article{article, author = {Zakula, Tea and Badun, Nikola and Ferdelji, Nenad and Ugrina, Ivo}, year = {2021}, pages = {20}, DOI = {10.1016/j.apenergy.2021.117089}, chapter = {117089}, keywords = {ISO 52016, Accuracy estimation, Error prediction, Sensitivity analysis, Building energy performance}, journal = {Applied energy}, doi = {10.1016/j.apenergy.2021.117089}, volume = {298}, issn = {0306-2619}, title = {Framework for the ISO 52016 standard accuracy prediction based on the in-depth sensitivity analysis}, keyword = {ISO 52016, Accuracy estimation, Error prediction, Sensitivity analysis, Building energy performance}, chapternumber = {117089} }
@article{article, author = {Zakula, Tea and Badun, Nikola and Ferdelji, Nenad and Ugrina, Ivo}, year = {2021}, pages = {20}, DOI = {10.1016/j.apenergy.2021.117089}, chapter = {117089}, keywords = {ISO 52016, Accuracy estimation, Error prediction, Sensitivity analysis, Building energy performance}, journal = {Applied energy}, doi = {10.1016/j.apenergy.2021.117089}, volume = {298}, issn = {0306-2619}, title = {Framework for the ISO 52016 standard accuracy prediction based on the in-depth sensitivity analysis}, keyword = {ISO 52016, Accuracy estimation, Error prediction, Sensitivity analysis, Building energy performance}, chapternumber = {117089} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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