Color perception-driven evaluation and optimization of inhomogeneous semitransparent photovoltaic windows
摘要
Inhomogeneous semitransparent photovoltaic (IH-STPV) windows, with millimeter-scale PV strips embedded between glass layers, offer dual benefits of electricity generation and glare mitigation. While existing studies mainly focus on glare discomfort, conventional indices remain insufficient to capture the visual effects introduced by the color contrast and pattern discontinuity of inhomogeneous PV structures. To address these issues, this study employed questionnaire evaluations to identify an indoor-facing strip color adjustment strategy that reduces edge contrast and enhances color visual quality. Ten green-blue color schemes were developed based on principles of color psychology and evaluated through subjective comfort ratings, from which one preferred scheme was identified. Based on the subjective evaluation results, a regression color visual quality index (CVQ) was developed by incorporating strip width, coverage ratio, and viewpoint position. To improve glare prediction, a color contrast factor was incorporated into the daylight glare probability model, resulting in a corrected index (DGPihst-COLOR) that reduced prediction error by approximately 10%. Finally, a parametric design framework integrating geometric and color variables was applied in an annual daylighting simulation case study in Changsha to identify IH-STPV configurations that balance glare safety, daylight availability, and color visual quality. This study provides a systematic evaluation and optimization approach for IH-STPV visual performance, offering practical guidance for human centered architectural façade design.