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Sensible heat storage in district heating networks: a novel control strategy using the network as storage

机译:区域供热网络中的明智热存储:使用网络作为存储的新型控制策略

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District heating (DH) networks distribute heat generated at one or many heating plants to groups of buildings in order to cover their space heating and domestic hot water needs. The fact that consumers' peak heating loads are often occurring at the same time leads to a peak in heat generation. Additional peak boilers, usually operating with fossil fuels at high costs, are traditionally used to compensate peak demands for few hours. As an alternative, by considering the water volume contained in the DH network piping, the network itself can be assimilated to large storage units and used effectively for peak reduction purposes. But even if this effect is known by district heating network operators, it is not applied systematically. Therefore a control technique is proposed and assessed by using simulation methods in this paper. The district heating network of Altenmarkt im Pongau (Austria) is modeled in the simulation environment Modelica/Dymola, using the standard library Modelica Fluid and the District HeatingLib developed at the Austrian Institute of Technology (AIT). Network simulations are performed to assess the impact of the proposed strategy. The results show a potential reduction of 15% of the daily peaks with an increase in heat losses of 0.3% compared to the reference scenario.
机译:地区供暖(DH)网络在一个或多个加热设备上产生的热量分配给建筑物组,以覆盖其空间加热和国内热水需求。消费者峰值加热载荷通常同时发生的事实导致发热中的峰值。通常以高成本与化石燃料一起操作的额外峰值锅炉,传统上用于补偿几个小时的峰值需求。作为替代方案,通过考虑DH网络管道中包含的水量,网络本身可以同化到大的存储单元并有效地用于降低峰值目的。但即使该效果是区域供热网络运营商,它也没有系统地应用。因此,通过使用本文的仿真方法提出并评估了一种控制技术。阿尔滕马克特蓬高(奥地利)的区域供热管网建模在仿真环境的Modelica / Dymola的,使用标准库Modelica的流体和区HeatingLib在技术的奥地利协会(AIT)开发。进行网络仿真以评估所提出的策略的影响。结果表明,与参考场景相比,每日峰的15%的每日峰的潜力降低0.3%。

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