Simulation study for a switchable adaptive polymer dispersed liquid crystal smart window for two climate zones (Riyadh and London)

Hemaida, Abdulmohsin; Ghosh, Aritra; Sundaram, Senthilarasu; Mallick, Tapas K.

Abstract

Polymer dispersed liquid crystal (PDLC) is an electrically switchable smart window, that can provide privacy and control solar radiation, resulting in a potential energy saving. The optical properties of the PDLC window can be altered from translucent to transparent when an alternating current power supply is applied. However, little attention has been paid to the PDLC smart window in terms of overall building energy performance. Therefore, this study aims to investigate the impact of the PDLC window on heating, cooling, and lighting loads and daylight performance, for an office building utilising energy building modelling and daylight analysis tool. The study is limited to two contrasting climate zones; an arid climate (Riyadh, Saudi Arabia) and a temperate climate (London, United Kingdom). The results showed that the PDLC window was more effective in Riyadh (arid climate) with a cooling reduction of 12.8% than London (temperate climate) with a heating reduction of 4.9%. PDLC provided excellent interior illuminance in both cities.

Citation

Hemaida, A., Ghosh, A., Sundaram, S., & Mallick, T. K. (2021). Simulation study for a switchable adaptive polymer dispersed liquid crystal smart window for two climate zones (Riyadh and London). Energy and Buildings, 251, Article 111381. https://doi.org/10.1016/j.enbuild.2021.111381

• Journal Article Type: Article
• Acceptance Date: Aug 19, 2021
• Online Publication Date: Aug 21, 2021
• Publication Date: 2021-11
• Deposit Date: Dec 16, 2022
• Journal: Energy and Buildings
• Print ISSN: 0378-7788
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 251
• Article Number: 111381
• DOI: https://doi.org/10.1016/j.enbuild.2021.111381
• Keywords: Glazing, Smart window, PDLC energy performance, Green building, Energy saving, PDLC simulation, Office building simulation
• Public URL: http://researchrepository.napier.ac.uk/Output/2964651