Economic Model Predictive Control for Hot Water Based Heating Systems in Smart Buildings
Economic Model Predictive Control for Hot Water Based Heating Systems in Smart Buildings
复制标题
智能建筑中热水供暖系统的经济模型预测控制
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
C. Agert
中科院分区：
文献类型：
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作者：
M. A. A. Awadelrahman;Y. Zong;Hongwei Li;C. Agert
本文提出了一种基于经济模型预测控制器(EMPC)的电价信号变化的住宅建筑供热能耗优化方法。所研究的供暖系统包括空气源热泵(ASHP)和热水箱作为主动储热(TES)，其中两个优化问题被集成在一起，利用建筑的热动力学模型对ASHP的用电量和建筑的采暖消耗进行优化。结果表明，与一些参考算例相比，所提出的EMPC可以通过负荷转移来节约能源成本。
This paper presents a study to optimize the heating energy costs in a residential building with varying electricity price signals based on an Economic Model Predictive Controller (EMPC). The investigated heating system consists of an air source heat pump (ASHP) incorporated with a hot water tank as active Thermal Energy Storage (TES), where two optimization problems are integrated together to optimize both the ASHP electricity consumption and the building heating consumption utilizing a heat dynamic model of the building. The results show that the proposed EMPC can save the energy cost by load shifting compared with some reference cases.