【摘要】 为了探究二氧化钒（VO₂）热致变色窗的适用条件以及兼顾节能与舒适的参数优化问题,建立EnergyplusPython动态联合模拟模型分析其节能性能,确定其适用的气候区、安装位置和尺寸;采用遗传算法构建综合能耗与舒适度的多目标优化模型,优化VO₂热致变色窗的光学参数。模拟结果分析表明,VO₂热致变色窗在我国各气候区均有节能作用,在夏热冬冷以及夏热冬暖地区节能效果更优,在提供必要的可见光透过率(T_lum)情况下提升太阳辐射调节率(ΔT_sol),可以使得VO₂热致变色窗在不舒适度增幅3.0%～7.8%的情况下获得31.5%～34.3%的节能率,与现有研究相比有较大提升,可为VO₂热致变色窗的实际应用选型以及材料研究方向提供指导。更多还原

【Abstract】 To investigate the applicable conditions and parameter optimization of vanadium dioxide（VO₂） thermochromic windows for energy consumption and comfort,an Energyplus-Python dynamic joint simulation model was developed to analyze their energy-saving performance and determine their applicable climate zones,window installation location and size.A genetic algorithm was used to build a multi-objective optimization model of integrated energy consumption and comfort to optimize the optical parameters of VO₂ thermochromic windows.Simulation results showed that VO₂ thermochromic windows have an energy-saving effect in all climate zones in China,and the energy-saving effect is better in hot summer and cold winter as well as hot summer and warm winter areas.By improving the solar modulation ability(ΔT_sol) while providing the necessary visible light transmittance(T_lum),the study enabled the VO₂ thermochromic windows to obtain 31.5%-34.3% energy savings with 3.0%-7.8% increase in discomfort,which is a significant improvement compared with existing research.The results can provide guidance for the selection of VO₂ thermochromic windows for practical applications as well as the direction of material research.更多还原