Predictive analysis for improving indoor air quality in buildings by accommodating the air infiltration rate and occupants' behaviours

Fu, Nuodi ORCID: 0000-0002-8782-5376 (2022) Predictive analysis for improving indoor air quality in buildings by accommodating the air infiltration rate and occupants' behaviours PhD thesis, University of Liverpool.

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Item Type:	Thesis (PhD)
Divisions:	Faculty of Humanities & Social Sciences > School of the Arts
Depositing User:	Symplectic Admin
Date Deposited:	15 Dec 2022 12:34
Last Modified:	01 Jan 2026 02:30
DOI:	10.17638/03166279
Supervisors:	Kim, Moon Goffriller, Martin Sharples, Stephen ORCID: 0000-0002-6309-9672 Wen, Huiqing Chen, Bing ORCID: 0000-0003-2273-4104
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3166279
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