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Energy cost reduction by optimal control of ideal sensible thermal energy storage in domestic space heating

机译:通过优化控制家用空间供暖系统中的理想显热能来降低能源成本

摘要

In the light of demand side management, the combination of thermal energy storage and space heating using electricity as energy vector is promising. The environmental gains of the use of heat pumps in buildings increase as the fraction of renewable electricity production rises.When variable electricity prices represent the availability of renewable energy sources, consumer gain can be accompanied by environmental benets. The aim of this study is to determine the potential in energy cost reduction when using sensible thermal energy storage in a domestic spaceheating context. To fully investigate the potential of thermal energy storage, an optimal control strategy is applied to two idealized sensible energy storage tanks. The cost for space heating in a single-family dwelling using a sensible thermal energy store for diurnal storage is compared with a reference cost, without storage capacity present. As the cost reduction is dependent on thematch between the energy use prole and the energy price prole, two energy pricing schemes are studied: a day-night tari according to local electricity prices and a quarter-hour energy pricing scheme based on the daily variation of nationwide energy use. The resulting control profiles and variation of storage state of charge are presented for several values of storage capacity. The space heating energy cost is calculated for each case and compared for the stratied and mixed storage tanks and the reference cost. The results indicate a potential for user cost reduction ofup to 20% using the perfectly stratied storage model.
机译:鉴于需求侧管理,将热能存储和利用电作为能量矢量的空间供热相结合是有希望的。随着可再生能源发电量的增加,在建筑物中使用热泵的环境收益增加。当可变的电价代表可再生能源的可利用性时,消费者收益会伴随着环境收益。这项研究的目的是确定在家用空间供热环境中使用合理的热能存储时降低能源成本的潜力。为了充分研究热能存储的潜力,将最优控制策略应用于两个理想化的感性储能罐。在没有存储容量的情况下,将使用合理的热能存储器进行日间存储的单户住宅中的空间加热成本与参考成本进行了比较。由于成本的降低取决于能源使用方案和能源价格方案之间的匹配,因此研究了两种能源定价方案:根据当地电价制定的白天夜间塔里税制和基于电力使用量每日变化的四分之一小时能源定价方案。全国范围的能源使用。对于几个存储容量值,显示了所得的控制曲线和存储电荷状态的变化。计算每种情况下的空间加热能量成本,并将其与分层储罐和混合储罐进行比较,并与参考成本进行比较。结果表明,使用完美分层存储模型可以将用户成本降低多达20%。

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