The adopted window control strategy within an indoor environment affects ventilation performance and occupant comfort. A natural ventilation strategy with optimised window control is proposed and evaluated on a typical Australian residential building. The three main steps of window control are: 1) prediction of outdoor air temperature through rolling forecast; 2) determination of ventilation mode through the decision tree method and; 3) optimisation of window opening percentage through heuristic control. Three control strategies are investigated and compared throughout the hot season. The results suggest that introducing prediction of outdoor temperature into the natural ventilation control process minimises the negative impact of control hysteresis. By using flexible degrees of window opening, the proposed strategy shows improved performance for maintaining an indoor operative temperature compared to the original open-closed control. The mean absolute deviations of indoor operative temperature from the neutral operative temperature are reduced by more than 30 %. In addition, the presented feedback and predictive control logic results in greater stability of indoor thermal operative temperature by avoiding over-ventilation.

在室内环境中采用的窗户控制策略会影响通风性能和乘员舒适度。提出并优化了窗户控制的自然通风策略，并在典型的澳大利亚住宅建筑上进行了评估。窗口控制的三个主要步骤是：1）通过滚动预报来预测室外气温。2）通过决策树方法确定通风方式；3）通过启发式控制优化开窗百分比。整个炎热季节，我们研究并比较了三种控制策略。结果表明，将室外温度的预测引入自然通风控制过程可最大程度地减少控制滞后的负面影响。通过灵活地开窗 与原始的开闭控制相比，所提出的策略显示了在保持室内工作温度方面的改进性能。室内操作温度与中性操作温度的平均绝对偏差减少了30％以上。此外，所提出的反馈和预测控制逻辑可避免过度通风，从而提高室内热工温度的稳定性。