小型商业建筑使用多个屋顶单元来调节其开放空间。因此，很难传播室内外干扰因素的个体效应。这项工作研究了这些因素对节能实践中冷却季节能源消耗的影响。由于开放空间中单元之间的相互作用，需要使用降阶模型构造最优控制器，该模型捕捉计算流体动力学的预测。冷却成本对输入变量变化的敏感性采用多项式混沌展开法确定。引用:2019年年度会议，密苏里州堪萨斯城，扩展摘要

Small commercial buildings use multiple Roof Top Units to condition their open space. Therefore, it is hard to disseminate the individual effects of indoor and outdoor disturbance factors. This work studies the influence of these factors on energy consumption in a cooling season for energy efficiency practices. Because of the interaction between the units in an open space, an optimal controller needs to be constructed using a reduced order model, that captures the predictions from computational fluid dynamics. The sensitivity of the cooling cost to the variation in the input variables, in a global fashion, is determined using Polynomial Chaos Expansion.