供热制冷系统的模拟与优化控制：以某商业建筑为例
Simulation and optimal control of heating and cooling systems: a case study of a commercial building
摘要：
在本文中，提出了一种节能措施，优化第三产业建筑的供热和制冷系统的规划。它包括基于模型的预测控制方法，该方法采用从建筑数据历史和预测建筑热负荷和室内温度的天气条件数据构建的灰箱模型。然后，该模型用于加热和冷却优化策略，旨在减少建筑物的总能耗在第二天，同时满足所需的室内热舒适性约束。所提出的优化策略不修改调节模式;相反，它们将优化的设定点发送到建筑物管理系统，以降低能耗。我们应用我们的方法在一个案例研究的商业建筑在供暖和制冷季节，我们表明，它能够产生高达12%的节能，而平均功率预测误差为8%。
英文摘要：
In this paper, an energy conservation measure that optimizes the planning of heating and cooling systems for tertiary sector buildings is proposed. It consists of a model-based predictive control approach that employs a grey-box model built from the building data history and from weather condition data that predicts the building heat load and indoor temperature. This model is then used by heating and cooling optimization strategies that aim at reducing the total energy consumption of the building in the next day while satisfying the desired indoor thermal comfort constraint. The proposed optimization strategies do not modify the regulation mode in place; rather, they send optimized set-points to the building management system in order to reduce the energy consumption. We applied our approach in a case study of a commercial building during heating and cooling seasons and we show that it was able to yield up to 12% of energy savings while having a mean power forecast error of 8%.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
