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Języki publikacji
Abstrakty
This article presents the analysis of the actual indoor climate parameters of an existing supermarket, which influence the energy consumption of the building's HVAC systems. The study is performed using the data of the Building Management System (BMS) of the analyzed supermarket. The functionality of HVAC systems' equipment, control solutions, actual thermal comfort, and air quality parameters were assessed during the study. The study found that improper control strategies of the air temperature supplied by the central ventilation system resulted in higher energy consumption to ensure the thermal comfort of the premises.
Wydawca
Rocznik
Tom
Strony
3--7
Opis fizyczny
Bibliogr. 6 poz., rys., wykr.
Twórcy
autor
- Vilnius Gediminas Technical University
autor
- Vilnius Gediminas Technical University
Bibliografia
- Du X., Zhang Y., Lv Z., 2020, Investigations and analysis of indoor environment quality of green and conventional shopping mall buildings based on customers' perception, Building and Environment 177 (April): 106851. DOI: 10.1016/j.buildenv.2020.106851.
- Džiugaitė-Tumėnienė R., Mikučionienė R., Streckienė G., Bielskus J., 2021, Development and analysis of a dynamic energy model of an office using a building management system (Bms) and actual measurement data, Energies 14(19). DOI: 10.3390/en14196419.
- Hauashdh A., Jailani J., Rahman I.A., AL-fadhali N., 2022, Strategic approaches towards achieving sustainable and effective building maintenance practices in maintenance-managed buildings: A combination of expert interviews and a literature review, Journal of Building Engineering 45 (August 2021): 103490. DOI: 10.1016/j.jobe.2021.103490.
- Kempton L., Daly D., Kokogiannakis G., Dewsbury M., 2022, A rapid review of the impact of increasing airtightness on indoor air quality, Journal of Building Engineering 57 (March): 104798. DOI: 10.1016/j.jobe.2022.104798.
- Loomans M.G.L.C., Mishra A.K., Kooi L., 2020, Long-term monitoring for indoor climate assessment - The association between objective and subjective data, Building and Environment 179 (May): 106978. DOI: 10.1016/j.buildenv.2020.106978.
- Życzyńska A., Suchorab Z., Majerek D., Motuzienė V., 2022, Statistical Analysis of the Variability of Energy Efficiency Indicators for a Multi-Family Residential Building, Energies 15(14). DOI: 10.3390/en15145042.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-1adfcec1-22be-4116-8db1-17bf375152dc