prikaz prve stranice dokumenta Modeling occupants’ metabolic rate in office buildings by implementation of smart wearable sensors considering personal thermal comfort
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doctoral thesis
Modeling occupants’ metabolic rate in office buildings by implementation of smart wearable sensors considering personal thermal comfort
Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2024. urn:nbn:hr:179:863772
Pivac, Nikolina
University of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture

Institutional repository: Repository of the Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture

Cite this document

Pivac, N. (2024). Modeling occupants’ metabolic rate in office buildings by implementation of smart wearable sensors considering personal thermal comfort (Doctoral thesis). Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:179:863772

Pivac, Nikolina. "Modeling occupants’ metabolic rate in office buildings by implementation of smart wearable sensors considering personal thermal comfort." Doctoral thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2024. https://urn.nsk.hr/urn:nbn:hr:179:863772

Pivac, Nikolina. "Modeling occupants’ metabolic rate in office buildings by implementation of smart wearable sensors considering personal thermal comfort." Doctoral thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2024. https://urn.nsk.hr/urn:nbn:hr:179:863772

Pivac, N. (2024). 'Modeling occupants’ metabolic rate in office buildings by implementation of smart wearable sensors considering personal thermal comfort', Doctoral thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, accessed 10 September 2024, https://urn.nsk.hr/urn:nbn:hr:179:863772

Pivac N. Modeling occupants’ metabolic rate in office buildings by implementation of smart wearable sensors considering personal thermal comfort [Doctoral thesis]. Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture; 2024 [cited 2024 September 10] Available at: https://urn.nsk.hr/urn:nbn:hr:179:863772

N. Pivac, "Modeling occupants’ metabolic rate in office buildings by implementation of smart wearable sensors considering personal thermal comfort", Doctoral thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Split, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:179:863772

Metadata
TitleModeling occupants’ metabolic rate in office buildings by implementation of smart wearable sensors considering personal thermal comfort
Title (english)Modeliranje intenziteta metabolizma korisnika uredskih prostora primjenom pametnih senzora u svrhu analize individualne toplinske ugodnosti
AuthorNikolina Pivac
MentorSandro Nižetić (mentor)
Committee memberBranko Klarin (predsjednik povjerenstva)
Committee memberDamir Sedlar (član povjerenstva)
Committee memberIgor Pehnec (član povjerenstva)
Committee memberIvo Marinić-Kragić (član povjerenstva)
Committee memberTamara Bajc https://orcid.org/0000-0002-4438-7257 (član povjerenstva)
GranterUniversity of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
Split
Defense date and country2024, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Basic Technical Sciences
Thermodynamics
Universal decimal classification
(UDC)		621 - Mechanical engineering. Nuclear technology. Machinery
Abstract
This doctoral thesis examines and discusses the results of the thermal comfort assessment research in two office buildings located in different climate zones in Croatia. In addition to standard equipment for measuring thermal comfort, the study employed wearable sensors to monitor the activities of eight occupants in order to calculate their metabolic rates. Furthermore, a survey questionnaire is used to investigate the occupants’ subjective thermal sensation. Collected information enabled the development of a model for predicting the dynimacly changes of metabolic rates of certain groups of people using artificial neural networks. The models were validated with a correlation coefficient of 90%. Implementing them could potentially increase occupant’s satisfaction and enable energy savings in office spaces. Moreover, the results showed that the metabolic rate (MET) response typically ranged between 1.0 and 2.0 over the seasons, which is higher than the values for standard-based office activities, questioning the applicability of using static MET values in calculating the PMV index. Finally, the study analyzed the differences in thermal conditions between the two buildings and presented valuable insights regarding the age, gender and body mass index of the occupants in relation to their level of satisfaction with the comfort conditions.
Abstract (english)
Ovaj doktorski rad ispituje i raspravlja o rezultatima istraživanja procjene toplinske ugodnosti u dvije uredske zgrade smještene u različitim klimatskim zonama u Hrvatskoj. U istraživanju su uz standardnu opremu za mjerenje toplinske ugodnosti prostora, korišteni i prijenosni uređaji za praćenje aktivnosti osam korisnika zgrade kako bi se izračunao njihov intenziteta metabolizma. Također, korišten je i anketni upitnik za istraživanje subjektivnog osjećaja ugodnosti korisnika. Na taj način prikupljene su precizne informacije o dinamičkim promjenama u intenzitetu metabolizma korisnika zgrade tijekom radnog vremena. Ove informacije omogućile su razvoj modela za predviđanje stope intenziteta pojedinih skupina ljudi korištenjem umjetnih neuronskih mreža. Modeli su potvrđeni s koeficijentom korelacije od 90% što bi potencijalno moglo povećati zadovoljstvo korisnika i omogućiti uštedu energije u uredskim prostorima. Nadalje, rezultati su pokazali da se intenzitet metabolizma (MET) tipično kretao između 1,0 i 2,0 tijekom godišnjih doba, što je više od vrijednosti MET-a za uredske aktivnosti temeljene na standardima, dovodeći u pitanje primjenjivost korištenja statičkih MET vrijednosti u izračunavanju PMV indeksa. Naposljetku, provedena je analiza toplinskih uvjeta između dvije ispitane zgrade i predstavljeni su vrijedni uvidi u pogledu dobi, spola i indeksa tjelesne mase korisnika i odnosu s njihovom razinom zadovoljstva uvjetima ugodnosti.
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:179:863772
Promotion2024
Study programmeTitle: Mechanical Engineering
Study programme type: university
Study level: postgraduate
Academic / professional title: doktor/doktorica znanosti, područje tehničkih znanosti, polje strojarstvo (doktor/doktorica znanosti, područje tehničkih znanosti, polje strojarstvo)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2024-07-29 10:14:53