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Investigation of Thermal Storage Operation Strategies with Heat Pumps in German Multi Family Houses

机译:德国多家庭房屋热泵热储存运行策略调查

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The use of air source heat pumps is an efficient method to provide heat for space heating and domestic hot water in residential buildings, which cover roughly one third of the German domestic energy use. Capacity controlled heat pumps are gaining increased market share and provide high flexibility in operation. The possibility to use thermal storage to decouple thermal production and electric load from the heat pump can be used for operation strategies, hereby increasing the possibility to integrate electricity production from renewable energy sources. In the work presented, a range of operational strategies for capacity controlled heat pumps connected to a thermal storage in German multifamily houses are introduced and evaluated. The use cases include maximization of energy performance, cost minimization and utilization of on-site photovoltaic production. For optimal storage operation a model predictive control (MPC) approach using quadratic programming is presented together with simplified models of the multi-family house, a thermal storage and a capacity controlled air-to-water heat pump, the MPC creates a control signal to the heat pump. The resulting control signal is then applied to a detailed heat pump model to investigate the impact on the efficiency of the heat pump unit and thereby its electric energy consumption with different storage options. Results show that the MPC strategy is able to adapt to different objectives. One of the most important findings is that changing the objective towards a variable day-ahead-price-based operation leads to decreased heat pump efficiency but increases revenue. The sensitivity analysis towards storage size shows little influence in the range of sizes investigated.
机译:空气源热泵的使用是一种有效的方法,可以在住宅建筑中提供空间加热和国内热水的热量,这覆盖了德国国内能源使用的大约三分之一。容量控制的热泵正在增加市场份额,并在运行中提供高度的灵活性。使用热存储器与热泵分离热量的可能性可用于操作策略,从而增加了将电力生产从可再生能源集成的可能性。在提出的工作中,引入并评估了一系列用于连接到德国多法房屋的热储存的容量控制热泵的操作策略。用例包括最大化能量性能,成本最小化和现场光伏生产的利用率。对于最佳存储操作,使用二次编程的模型预测控制(MPC)方法与多家庭房屋的简化模型一起呈现,MPC产生控制信号,包括多户房屋,热存储和容量控制的空气热泵热泵。然后将所得控制信号施加到详细的热泵模型,以研究对热泵单元效率的影响,从而用不同的存储选项的电能消耗。结果表明,MPC策略能够适应不同的目标。最重要的发现之一是将目标改变为可变日期价格的运算导致热泵效率降低,但收入增加。对存储尺寸的敏感性分析表现出研究的尺寸范围内的影响很小。

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