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Techno-economic analysis of control algorithms for an exhaust air heat pump system for detached houses coupled to a photovoltaic system

机译:用于耦合到光伏系统的拆卸房屋排气热泵系统控制算法的技术经济分析

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Operational control strategies for the heating system and "smart" utilization of energy storage were developed and analyzed in a simulation based case study of a single-family house with exhaust air heat pump and photovoltaic system. Rule based control algorithms that can easily be implemented into modern heat pump controllers were developed with the aim to minimize final energy and maximize self-consumption by the use of the thermal storage of the building, the hot water tank and electrical storage. Short-term weather and electricity price forecasts are used in some of the algorithms. Heat supply from an exhaust air heat pump is limited by the ventilation flow rate fixed by building codes, and compact systems employ an electric heater as backup for both space heating and hot water. This heater plays an important role in the energy balance of the system. A typical system designed for new detached houses in Sweden was chosen for the study. This system, together with an independent photovoltaic system, was used as a base case and all results are compared to those for this base case system. TRNSYS 17 was used to model the building and system as well as the control algorithms, and special care was taken to model the use of the backup electric heater as this impacts significantly on final energy use. Results show that the developed algorithms can reduce final energy by 5-31% and the annual net cost for the end user by 3-26%, with the larger values being for systems with a battery storage. Moreover, the annual use of the backup electric heater can be decreased by 13-30% using the carefully designed algorithms.
机译:开发并分析了储能空气热泵和光伏系统的单家庭房屋的仿真案例研究和“智能”利用能量存储和“智能”利用的运行控制策略。基于规则的控制算法,可以轻松地实现为现代热泵控制器,其目的是最大限度地减少最终能量并通过使用建筑物的热量存储,热水箱和蓄电池来最大化自耗。在一些算法中使用短期天气和电力价格预测。来自排气热泵的热源受到通过建筑码固定的通风流速的限制,紧凑的系统采用电加热器作为空间加热和热水的备用。该加热器在系统的能量平衡中起着重要作用。选择了一项专为瑞典的新独立房屋设计的典型系统。该系统与独立的光伏系统一起用作基本情况,并将所有结果与该基本情况系统的结果进行比较。 Trnsys 17用于模拟建筑物和系统以及控制算法,并采用特殊护理来模拟备用电加热器的使用,因为这对最终能源使用显着影响。结果表明,发达的算法可以将最终能量降低5-31%,最终用户的年净成本3-26%,具有电池存储的系统的较大值。此外,使用精心设计的算法,备用电加热器的年度使用可以减少13-30%。

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