This study is focused on the simulation and optimization of packed-bed solar thermal energy storage by using sand as a storage material and hot-water is used as a heat transfer fluid and storage as well.The analysis h...This study is focused on the simulation and optimization of packed-bed solar thermal energy storage by using sand as a storage material and hot-water is used as a heat transfer fluid and storage as well.The analysis has been done by using the COMSOL multi-physics software and used to compute an optimization charging time of the storage.Parameters that control this optimization are storage height,storage diameter,heat transfer fluid flow rate,and sand bed particle size.The result of COMSOL multi-physics optimized thermal storage has been validated with Taguchi method.Accordingly,the optimized parameters of storage are:storage height of 1.4m,storage diameter of 0.4 m,flow rate of 0.02 kg/s,and sand particle size 12 mm.Among these parameters,the storage diameter result is the highest influenced optimized parameter of the thermal storage fromthe ANOVA analysis.For nominal packed bed thermal storage,the charging time needed to attain about 520 K temperature is more than 3500 s,while it needs only about 2000 s for the optimized storage which is very significant difference.Average charging energy efficiency of the optimized is greater than the nominal and previous concrete-based storage by 13.7%,and 13.1%,respectively in the charging time of 2700 s.展开更多
建筑光伏一体化小区中富余能源并网将导致居民用电经济性欠优,以及与外电网交换功率不够平滑的问题。为此,该文提出一种面向含相变储能系统(phase change material thermal energy storage system,PCMTESS)的小区建筑电-热联供系统双层...建筑光伏一体化小区中富余能源并网将导致居民用电经济性欠优,以及与外电网交换功率不够平滑的问题。为此,该文提出一种面向含相变储能系统(phase change material thermal energy storage system,PCMTESS)的小区建筑电-热联供系统双层调度策略。简要介绍PCMTESS的物理构造和运行模式,并分析其规模化储能和热电解耦的特性。在此基础上,评估阳光辐射等环境因素对光伏发电和建筑热需求的影响,建立计及热泄漏过程的电热联供系统模型。进而,以微网最小化购电成本和对外功率波动为目标,设计一种实时滚动的双层优化调度策略,用于消解预测误差在多时间尺度上的影响。最后,提出近似线性化处理和电力侧-热力侧问题交互迭代的算法,实现优化模型的高效求解。仿真结果表明,该文所提的PCMTESS在维持室温舒适的前提下,既能保障用户侧运行经济性的需求,又能平滑对外交换功率,使得电网与用户双方共同受益。该文为微网综合能源消纳问题的解决提供一个新视角。展开更多
文摘This study is focused on the simulation and optimization of packed-bed solar thermal energy storage by using sand as a storage material and hot-water is used as a heat transfer fluid and storage as well.The analysis has been done by using the COMSOL multi-physics software and used to compute an optimization charging time of the storage.Parameters that control this optimization are storage height,storage diameter,heat transfer fluid flow rate,and sand bed particle size.The result of COMSOL multi-physics optimized thermal storage has been validated with Taguchi method.Accordingly,the optimized parameters of storage are:storage height of 1.4m,storage diameter of 0.4 m,flow rate of 0.02 kg/s,and sand particle size 12 mm.Among these parameters,the storage diameter result is the highest influenced optimized parameter of the thermal storage fromthe ANOVA analysis.For nominal packed bed thermal storage,the charging time needed to attain about 520 K temperature is more than 3500 s,while it needs only about 2000 s for the optimized storage which is very significant difference.Average charging energy efficiency of the optimized is greater than the nominal and previous concrete-based storage by 13.7%,and 13.1%,respectively in the charging time of 2700 s.
文摘建筑光伏一体化小区中富余能源并网将导致居民用电经济性欠优,以及与外电网交换功率不够平滑的问题。为此,该文提出一种面向含相变储能系统(phase change material thermal energy storage system,PCMTESS)的小区建筑电-热联供系统双层调度策略。简要介绍PCMTESS的物理构造和运行模式,并分析其规模化储能和热电解耦的特性。在此基础上,评估阳光辐射等环境因素对光伏发电和建筑热需求的影响,建立计及热泄漏过程的电热联供系统模型。进而,以微网最小化购电成本和对外功率波动为目标,设计一种实时滚动的双层优化调度策略,用于消解预测误差在多时间尺度上的影响。最后,提出近似线性化处理和电力侧-热力侧问题交互迭代的算法,实现优化模型的高效求解。仿真结果表明,该文所提的PCMTESS在维持室温舒适的前提下,既能保障用户侧运行经济性的需求,又能平滑对外交换功率,使得电网与用户双方共同受益。该文为微网综合能源消纳问题的解决提供一个新视角。
