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Smartclear
Rabah, Sarah
Rabah, Sarah
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Abstract
The SmartClear self-cleaning window system represents a novel approach to try to overcome
some of the perennial problems of conventional window cleaning, especially for high-rise
buildings and dusty areas. The present research provides an investigation of performance,
environmental impact, and cost-effectiveness of SmartClear, a new generation of window glass
that can clean itself by emulating the natural self-cleaning mechanism of the eyelid. SmartClear
seeks to enhance safety and reduce the maintenance cost by taking out human labor, water, and
chemical agents from the equation. Testing of the proposed system will be performed in a mixed-
methods approach: quantitative performance metrics and qualitative user feedback targeting
commercial property owners, homeowners, and sustainable architecture projects are expected to
reveal its efficacy in maintaining cleanliness, contributing to environmental sustainability, and
giving satisfaction to users. This research would further enlighten stakeholders and help position
SmartClear in the market as a revolutionary, eco-friendly window cleaning solution.
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Attribution-NonCommercial-NoDerivatives 4.0 International