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Building-to-grid flexibility: Modelling and assessment metrics for residential demand response from heat pump aggregations

机译:从建筑物到网格的灵活性:用于热泵集合的住宅需求响应的建模和评估指标

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Increased flexibility has been identified as a key requirement in future power systems. Much flexibility could be provided by energy vectors other than electricity. In particular heat may be a valuable source of flexibility, as electrification of space and water heating introduces highly flexible resources such as electric heat pumps. However, current methods for assessing aggregated demand side flexibility, particularly from residential buildings, may not be adequate given the variety of different grid services that flexibility may be used to provide to different stakeholders, and considering relevant comfort constraints. On these bases, in this work several metrics, relevant to different stakeholders, are introduced to quantify building-to-grid demand response flexibility from heat pump aggregations. Specific control algorithms for the aggregations are also proposed and tested through a multi-energy residential energy consumption tool. A number of case studies are carried out to demonstrate the value of the proposed metrics and algorithms, especially in relation to flexibility exploitation with long sustain times (e.g., reserve services), which can noticeably affect user comfort. Our results indicate that the payback behaviour of heating units following a demand response event can vary substantially with different types of dwellings. More specifically, the power payback is negligible in dwellings with high thermal inertia, while the power and energy payback can reach 10% and 50%, respectively, in dwellings with low thermal inertia. The benefits from hybrid (electric + gas) heating, which can reduce energy payback and comfort loss, are also demonstrated. For instance, in a cluster of dwellings with low thermal inertia, the energy payback following a DR event is reduced from 50% to 20% and the maximum comfort loss of the participants is decreased from 1.6 °C to 0.5 °C.
机译:增强的灵活性已被确定为未来电源系统的关键要求。除电以外的其他能量矢量都可以提供很大的灵活性。特别是热量可能是宝贵的灵活性来源,因为空间的电气化和水加热会引入高度灵活的资源,例如电热泵。但是,考虑到可以使用灵活性为不同的利益相关者提供各种不同的网格服务并考虑相关的舒适性约束,当前评估总需求侧灵活性(尤其是住宅建筑)的方法可能不够充分。在这些基础上,在这项工作中,引入了与不同利益相关者相关的几个指标,以量化热泵集合体对建筑物到电网的需求响应灵活性。还提出了针对聚合的特定控制算法,并通过多能源住宅能耗工具进行了测试。进行了许多案例研究来证明所提出的度量和算法的价值,特别是在具有长持续时间(例如,预留服务)的灵活性开发方面,这会显着影响用户的舒适度。我们的结果表明,在需求响应事件之后,供暖单元的投资回报行为可能会随不同类型的住宅而显着变化。更具体地说,在具有高热惯性的住宅中,功率回报可忽略不计,而在具有低热惯性的住宅中,功率和能量回报可分别达到10%和50%。还显示了混合(电+气)加热的好处,可以减少能量回收和舒适度损失。例如,在一群具有低热惯性的住宅中,DR事件后的能量回收率从50%降低到20%,参与者的最大舒适度损失从1.6 C降低到0.5C。

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