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Performance Analysis and Comparison on Energy Storage Devices for Smart Building Energy Management

机译:智能建筑能源管理储能设备性能分析与比较

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A smart building energy system usually contains multiple energy sources such as power grids, autonomous generators, renewable resources, storage devices, and schedulable loads. Storage devices such as batteries, ice/heat storage units, and water tanks play an important role in reducing energy cost in building energy systems since they can help sufficiently utilize renewable energy resources and time-of-use electricity prices. It is important to plan, schedule, and coordinate all the storage devices together with schedulable loads in a building facilitated by microgrid technology. To consider the above problem with uncertainties in solar radiation and demand profiles, a stochastic optimization problem is formulated and solved by the scenario tree method. The best combination and the optimal capacities of storage devices for specific building energy systems are then determined. Furthermore, the optimal operating strategy of building energy systems can be obtained. The performance analysis on the storage devices is conducted and the numerical results show that thermal storage devices (e.g., ice storage units, water tanks) are good for saving energy costs but batteries may not be economical due to their high investment cost and short lifetime. It is also observed that the aforementioned uncertainties have an impact on selecting which type and capacity of storage device should be used.
机译:智能建筑能源系统通常包含多种能源,例如电网,自动发电机,可再生资源,存储设备和可调度的负载。诸如电池,冰/蓄热装置和水箱之类的存储设备在降低建筑能源系统中的能源成本方面起着重要作用,因为它们可以帮助充分利用可再生能源和分时电价。在微电网技术的帮助下,对建筑物中的所有存储设备以及可计划的负载进行计划,计划和协调非常重要。为了考虑上述具有太阳辐射和需求曲线不确定性的问题,通过情景树方法提出并解决了随机优化问题。然后确定特定建筑物能源系统的最佳组合和存储设备的最佳容量。此外,可以获得建筑能源系统的最佳运行策略。进行了存储设备的性能分析,数值结果表明,蓄热设备(例如冰蓄冷装置,水箱)可以节省能源成本,但由于电池投资成本高,寿命短,因此可能不经济。还观察到,上述不确定性对选择应使用哪种类型和容量的存储设备有影响。

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