本文研究了预测控制策略在净零能耗太阳能住宅地板辐射供暖系统中的应用。控制操作是通过调整变量来执行的，例如温度设定点、地板辐射供暖系统的热传递率和通过窗户传输的太阳能增益（例如，通过改变电动遮阳设备的位置）。用于实施控制策略的数学模型是基于热网络模型的简化线性传递函数模型。传递函数模型的使用，也可以从建筑模拟输出数据的系统识别中获得，极大地促进了计算要求高的控制策略的实施。 本文介绍并讨论了模型预测控制（MPC）的应用，MPC是一组利用系统模型来预测其对未来扰动响应的算法。MPC技术——或替代预测控制算法——对于管理被动太阳能增益的收集、存储和传输，从而调节室内温度并为居住者保持舒适的室内条件是必要的。引文:内华达州拉斯维加斯ASHRAE会议论文

This paper investigates predictive control strategies applied to radiant floor heating system in a net-zero energy solar home. Control operations are performed by adjusting variables such as the temperature set-point, the radiant floor heating system's heat delivery rate, and the solar gains transmitted through the fenestration (for instance, by changing the position of motorized shading devices). The mathematical models used for the implementation of control strategies are simplified linear transfer function models, based on thermal networks models. The use of transfer function models, which can also be obtained from system identification of building simulation output data, considerably facilitates the implementation of computationally demanding control strategies. Applications of Model Predictive Control (MPC), a set of algorithms that employ a model of the system to predict its response to future disturbances, are presented and discussed. MPC techniques -or alternative predictive control algorithms- are necessary to manage the collection, storage and delivery of passive solar gains, and thus to regulate indoor temperatures and maintain comfortable indoor conditions for the occupants.