Quantifying of Vision through Polymer Dispersed Liquid Crystal Double-Glazed Window

Mohammed Lami, Faris Al-naemi, Hameed Alrashidi and Walid Issa
Additional contact information
Mohammed Lami: Industry & Innovation Research Institute, Sheffield Hallam University, Sheffield S1 1WB, UK
Faris Al-naemi: Industry & Innovation Research Institute, Sheffield Hallam University, Sheffield S1 1WB, UK
Hameed Alrashidi: Kuwait Fund for Arab Economic Development, Mubarak Al-Kabeer St., Safat, P.O. Box 2921, Kuwait City 13030, Kuwait
Walid Issa: Industry & Innovation Research Institute, Sheffield Hallam University, Sheffield S1 1WB, UK

Energies, 2022, vol. 15, issue 9, 1-23

Abstract: The visual linking of a building’s occupants with the outside views is a basic property of windows. However, vision through windows is not yet a metricized factor. The previous research employs a human survey methods to assess the vision through conventional windows. The recently fabricated smart films add a changeable visual transparency feature to the windows. The varied operating transparency challenges the evaluation of vision. Therefore, surveying human preferences is no longer a feasible approach for smart windows. This paper proposes an image-processing-based approach to quantify the vision quality through smart windows. The proposed method was experimentally applied to a polymer dispersed liquid crystal (PDLC) double-glazed window. The system instantaneously determines the available contrast band of the scenes seen through the window. The system adjusts the excitation of the PDLC film to maintain a desired vision level within the determined vision band. A preferred vision ratio ( PVR ) is proposed to meet the requirements of occupant comfort. The impact of the PVR on vision quality, solar heat gain, and daylight performance was investigated experimentally. The results show that the system can determine the available vision comfort band during daytime considering different occupant requirements.

Keywords: vision through windows; visual comfort; PDLC smart film; smart windows; image processing (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1996-1073/15/9/3196/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/9/3196/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:9:p:3196-:d:803412

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().