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Distributed Energy Storage Using Residential Hot Water Heaters

机译:使用住宅热水加热器的分布式能源存储

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This paper proposes and analyses a new demand response technique for renewable energy regulation using smart hot water heaters that forecast water consumption at an individual dwelling level. Distributed thermal energy storage has many advantages, including high overall efficiency, use of existing infrastructure and a distributed nature. In addition, the use of a smart thermostatic controller enables the prediction of required water amounts and keeps temperatures at a level that minimises user discomfort while reacting to variations in the electricity network. Three cases are compared in this paper, normal operation, operation with demand response and operation following the proposed demand response mechanism that uses consumption forecasts. The results show that this technique can produce both up and down regulation, as well as increase water heater efficiency. When controlling water heaters without consumption forecast, the users experience discomfort in the form of hot water shortage, but after the full technique is applied, the shortage level drops to nearly the starting point. The amount of regulation power from a single dwelling is also discussed in this paper.
机译:本文提出并分析了一种新的需求响应技术,该技术利用智能热水加热器调节可再生能源,该技术可预测单个住宅级别的用水量。分布式热能存储具有许多优势,包括总体效率高,使用现有基础架构以及分布式特性。此外,使用智能恒温控制器可以预测所需的水量,并将温度保持在一定水平,以最大程度地减少用户对电网变化的不适感。本文比较了三种情况:正常运行,有需求响应的运行和遵循建议的使用消耗预测的需求响应机制的运行。结果表明,该技术既可以产生上下调节,又可以提高热水器效率。在不进行消耗量预测的情况下控制热水器时,用户会感到热水短缺的不适感,但是在采用全部技术后,短缺程度几乎下降到了起点。本文还讨论了单个住宅的调节能力。

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