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Performance comparison between optimized design of a centralized and semi-decentralized community size solar district heating system

机译:集中式和半分散式社区规模太阳能区域供热系统的优化设计之间的性能比较

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Solar thermal energy is widely recognized as one of the most important renewable energy resources. However, in high latitudes, due to various climatic and mismatch challenges, such solar district heating networks are difficult to implement. The objective of the paper is to optimize and compare two different design layouts and control strategies for solar district heating systems in Finnish conditions. The two different designs proposed are a centralized and a semi-decentralized solar district heating system. The centralized system consists of two centralized short-term tanks operating at different temperature levels charged by a solar collector and heat pumps. Borehole thermal energy storage is also charged via these two centralized tanks. In contrast, the semi-decentralized system consists of one centralized low temperature tank charged by a solar collector and a borehole thermal energy storage and decentralized high temperature tank charged by an individual heat pump in each house. In this case, borehole thermal energy storage is charged only by the centralized warm tank. These systems are designed using the dynamic simulation software TRNSYS for Finnish conditions. Later on, multi-objective optimization is carried out with a genetic algorithm using the MOBO (Multi-objective building optimizer) optimization tool, where two objectives, i.e. purchased electricity and life cycle costs, are minimized. Various design variables are considered, which included both component sizes and control parameters as inputs to the optimization. The optimization results show that in terms of life cycle cost and purchased electricity, the decentralized system clearly outperforms the centralized system. With a similar energy performance, the reduction in life cycle cost is up to 35% for the decentralized system. Both systems can achieve close to 90% renewable energy fraction. These systems are also sensitive to the prices. Furthermore, the results show that the solar thermal collector area and seasonal storage volume can be reduced in a decentralized system to reduce the cost compared to a centralized system. The losses in the centralized system are 40-12% higher compared to the decentralized system. The results also show that in both systems, high performance is achieved when the borehole storage is wider with less depth, as it allows better direct utilization of seasonally stored heat. The system layout and controls varied the performance and life cycle cost; therefore it is essential to consider these when implementing such systems.
机译:太阳能热能被广泛认为是最重要的可再生能源之一。然而,在高纬度地区,由于各种气候和失配挑战,这种太阳能区域供热网络难以实施。本文的目的是优化和比较芬兰条件下太阳能区域供热系统的两种不同的设计布局和控制策略。提出的两种不同设计是集中式和半分散式太阳能区域供热系统。集中式系统由两个集中式短期储罐组成,它们在不同的温度水平下运行,并由太阳能收集器和热泵提供能量。钻孔热能存储也通过这两个集中式储罐进行充电。相比之下,半分散式系统由一个由太阳能收集器填充的集中式低温储罐和一个由每个房屋中的单个热泵填充的钻孔热能储存和分散式高温储罐组成。在这种情况下,井下热能储存仅由集中式暖水箱充电。这些系统是使用动态仿真软件TRNSYS针对芬兰条件设计的。随后,使用MOBO(多目标建筑物优化工具)优化工具通过遗传算法进行多目标优化,该方法将购电和生命周期成本这两个目标降至最低。考虑了各种设计变量,其中包括组件大小和控制参数,作为优化的输入。优化结果表明,就生命周期成本和购电而言,分散式系统明显优于集中式系统。在具有类似的能源性能的情况下,分散系统的生命周期成本最多可降低35%。两种系统均可实现接近90%的可再生能源比例。这些系统也对价格敏感。此外,结果表明,与集中式系统相比,分散式系统可减少太阳能集热器的面积和季节性存储量,从而降低成本。与分散式系统相比,集中式系统中的损失要高40-12%。结果还表明,在两个系统中,当井筒的储存空间更宽,深度更浅时,都可以实现高性能,因为它可以更好地直接利用季节性储存的热量。系统布局和控件会改变性能和生命周期成本;因此,在实施此类系统时必须考虑这些因素。

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