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首页> 外文期刊>Journal of building performance simulation >Rule-based demand-side management of domestic hot water production with heat pumps in zero energy neighbourhoods
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Rule-based demand-side management of domestic hot water production with heat pumps in zero energy neighbourhoods

机译:零能耗社区中基于规则的热泵生活热水需求侧管理

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Grid saturation has been reported in electricity distribution systems with a high penetration of photovoltaic (PV) systems. This saturation is often caused by overvoltage and results in curtailing or shutting down of the PV inverters, leading to a loss of renewable electricity generation. The presented work assesses the potential of rule-based demand-side management (DSM) applied to domestic hot water (DHW) production with heat pumps in dwellings for reducing the non-renewable energy use of the neighbourhood. The studied case consists of 33 single-family dwellings connected to a single phase distribution grid in a moderate European climate. Each dwelling is designed as a net-zero energy building by adequate design of a heat pump and PV system. A detailed dynamic simulation model is implemented by use of a cross-domain Modelica library for integrated district energy assessment. The user behaviour is obtained from a stochastic model based on Markov chains and survival analysis. Different rule-based DSM control strategies are applied to the individual dwelling's DHW systems. The results show that for balancing the PV production, active thermal energy storage in the DHW storage tanks is very promising. Even with very basic control algorithms and small storage tanks of 0.3 m3, curtailing losses can be reduced by 74%. This represents a net energy saving on a neighbourhood level of 3.4%.
机译:已经报道了在具有高渗透率的光伏(PV)系统的配电系统中电网饱和。这种饱和通常是由过电压引起的,并且会导致PV逆变器的缩减或关闭,从而导致可再生发电的损失。提出的工作评估了基于规则的需求方管理(DSM)在住宅中使用热泵的生活热水(DHW)生产中的应用潜力,以减少居民区的不可再生能源使用。在欧洲温和气候下,所研究的案例由33个单户住宅组成,这些住宅与单相配电网相连。通过合理设计热泵和光伏系统,将每个住宅设计为零能耗建筑。通过使用跨域Modelica库进行集成区域能源评估,可以实现详细的动态仿真模型。用户行为是基于马尔可夫链和生存分析的随机模型获得的。不同的基于规则的DSM控制策略应用于单个住宅的DHW系统。结果表明,为了平衡光伏发电,在DHW储罐中进行主动热能存储非常有前途。即使使用最基本的控制算法和0.3 m3的小型储罐,减少的损耗也可以减少74%。这表示在附近水平上的净节能量为3.4%。

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