Comparative study of using periodic daily and long-term weather data for cooling system sizing and impact of thermal mass

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorSalehi, Seyed Shahabaldin Seyeden_US
dc.contributor.authorKurnitski, Jareken_US
dc.contributor.authorThalfeldt, Martinen_US
dc.contributor.departmentDepartment of Civil Engineeringen
dc.contributor.groupauthorStructures – Structural Engineering, Mechanics and Computationen
dc.contributor.organizationTallinn University of Technologyen_US
dc.date.accessioned2023-02-08T07:34:59Z
dc.date.available2023-02-08T07:34:59Z
dc.date.issued2022-12-01en_US
dc.description| openaire: EC/HE/856602/EU//FINEST TWINS Funding Information: Moreover, the study can be done with varying building types, orientations, and ventilation strategies (e.g., night cooling) to determine if the underestimation/overestimation happens in all other cases. The geometry difference studies can start with an office layout of 8 offices, 4 in one direction and 4 in a mixed direction on the edge of the layout. Conclusion This article aimed to determine the extent to which the ASHRAE Fundamentals technique underestimates the influence of building thermal mass. To do this, the cooling system sizing results from a 30-year simulation using IDA ICE simulation software is compared to the cooling system sizing results from a zonal level based on the ASHRAE handbook. The simulations are conducted using a hypothetical office building with four offices facing north, west, south, and east. The structure's body is composed of four distinct components, referred to in this study as very light, light, heavy, and very heavy. The study found that the current cooling design approach does not significantly underestimate the influence of thermal mass. The thermal mass impact was at its maximum in the southern office, resulting in 5 W/m2or around 20% difference between structures A and D's cooling capacities using both simulation methods, and the difference between results from simulation methods is negligible. However, simulations for more precise cooling system size considering operative temperature requirements should be conducted using weather files built for long-term simulations. Acknowledgement This work has been supported by the Estonian Ministry of Education and Research, European Regional Fund (grant 2014-2020.4.01.20-0289), the Estonian Centre of Excellence in Zero Energy and Resource Efficient Smart uB ildings and Districts, ZEEB (grant 2014 - 2020.4.01.15-0016) funded by the European Regional Development Fund, by the European Commission through the H2020 project Finest Twins (grant No. 856602) and the Estonian Research Council grant (PSG 09) . R ferences American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc. (2017). SHRAAE® H ndbook - Fundamentals (SI dE ition) - 18.6.2 Overview. American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc. (ASHRAE). Publisher Copyright: © 2022 The Authors, published by EDP Sciences.
dc.description.abstractThe energy efficiency of buildings is increasing due to energy performance requirements, and the basis for reaching high energy performance is a well-designed and insulated building envelope. Therefore, office buildings' cooling needs depend primarily on solar and internal heat gains, whereas outdoor temperature has a significantly smaller effect. Furthermore, the highest cooling capacities may occur in spring or autumn when the solar angles are smaller. For that reason, the cooling systems of office buildings are required to be sized based on dynamic building performance simulations. Most of such designs in Northern Europe are performed using IDA ICE simulation software, which uses the ASHRAE Fundamentals heat balance method by default. The design calculations are carried out using a periodic steady-state method which consists of repetitive simulations of selected hot days until the building is not heated up from day to day using the final designed cooling capacity. The process of heating the space by thermal loads in buildings with high thermal mass and well-controlled solar heat gains takes a longer time than in traditional buildings. Thus, the effect of building thermal mass on reducing the design cooling loads might be underestimated. In this paper, we analyze to what extent the ASHRAE Fundamentals method underestimates the effect of the building thermal mass. For this purpose, the cooling system sizing with a focus on a zonal level according to the ASHRAE handbook is compared to the system sizing results of a 30-year simulation using IDA ICE simulation software. A hypothetical office building with four offices toward North, West, South, and East is developed and used for the simulations. The building body comprises four alternatives A to D, which can also be called: very light, light, heavy, and very heavy. The study showed that the current method of cooling design did not significantly underestimate the thermal mass effect in buildings with heavy construction. The thermal mass impact was at its maximum in the southern office, resulting in 5 W/m2 or approximately 20% difference between structures A and D' s cooling capacities using both simulation methods. The difference between results from simulation methods is negligible. However, the simulations for more accurate cooling system sizing with criteria related to the operative temperature need to be done using specific weather files developed for simulations in longer periods.en
dc.description.versionPeer revieweden
dc.format.extent7
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationSalehi, S S S, Kurnitski, J & Thalfeldt, M 2022, 'Comparative study of using periodic daily and long-term weather data for cooling system sizing and impact of thermal mass', E3S Web of Conferences, vol. 362, 06002. https://doi.org/10.1051/e3sconf/202236206002en
dc.identifier.doi10.1051/e3sconf/202236206002en_US
dc.identifier.issn2555-0403
dc.identifier.issn2267-1242
dc.identifier.otherPURE UUID: 2c7cd190-c0d6-420e-842e-4b1de5e33cdben_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/2c7cd190-c0d6-420e-842e-4b1de5e33cdben_US
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85146884467&partnerID=8YFLogxK
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/99961825/e3sconf_bsn2022_06002.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/119658
dc.identifier.urnURN:NBN:fi:aalto-202302082008
dc.language.isoenen
dc.publisherEDP Sciences
dc.relationinfo:eu-repo/grantAgreement/EC/HE/856602/EU//FINEST TWINS Funding Information: Moreover, the study can be done with varying building types, orientations, and ventilation strategies (e.g., night cooling) to determine if the underestimation/overestimation happens in all other cases. The geometry difference studies can start with an office layout of 8 offices, 4 in one direction and 4 in a mixed direction on the edge of the layout. Conclusion This article aimed to determine the extent to which the ASHRAE Fundamentals technique underestimates the influence of building thermal mass. To do this, the cooling system sizing results from a 30-year simulation using IDA ICE simulation software is compared to the cooling system sizing results from a zonal level based on the ASHRAE handbook. The simulations are conducted using a hypothetical office building with four offices facing north, west, south, and east. The structure's body is composed of four distinct components, referred to in this study as very light, light, heavy, and very heavy. The study found that the current cooling design approach does not significantly underestimate the influence of thermal mass. The thermal mass impact was at its maximum in the southern office, resulting in 5 W/m2or around 20% difference between structures A and D's cooling capacities using both simulation methods, and the difference between results from simulation methods is negligible. However, simulations for more precise cooling system size considering operative temperature requirements should be conducted using weather files built for long-term simulations. Acknowledgement This work has been supported by the Estonian Ministry of Education and Research, European Regional Fund (grant 2014-2020.4.01.20-0289), the Estonian Centre of Excellence in Zero Energy and Resource Efficient Smart uB ildings and Districts, ZEEB (grant 2014 - 2020.4.01.15-0016) funded by the European Regional Development Fund, by the European Commission through the H2020 project Finest Twins (grant No. 856602) and the Estonian Research Council grant (PSG 09) . R ferences American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc. (2017). SHRAAE® H ndbook - Fundamentals (SI dE ition) - 18.6.2 Overview. American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc. (ASHRAE). Publisher Copyright: © 2022 The Authors, published by EDP Sciences.en_US
dc.relation.ispartofseriesE3S Web of Conferencesen
dc.relation.ispartofseriesVolume 362en
dc.rightsopenAccessen
dc.titleComparative study of using periodic daily and long-term weather data for cooling system sizing and impact of thermal massen
dc.typeA4 Artikkeli konferenssijulkaisussafi
dc.type.versionpublishedVersion

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