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Thermodynamic and economic performance analysis of heat and power cogeneration system based on advanced adiabatic compressed air energy storage coupled with solar auxiliary heat

机译:基于先进的绝热压缩空气储存的热电动力发电系统热力学和经济性能分析与太阳能辅热相结合

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摘要

The advanced adiabatic compressed air energy storage system coupled with other systems not only has a high efficiency but also has the ability to produce heat and power simultaneously, which has great application potential. Reasonable allocation of heat generated by the system can improve the performance of the system. Therefore, a model of a cogeneration system based on advanced adiabatic compressed air energy storage coupled with solar auxiliary heat is proposed and five schemes of heat distribution are established. From the perspective of thermodynamics and economics, the performance of five heat distribution schemes (100%, 75%, 50%, 25%, 0%) is analysed and discussed. The effects of effectiveness of three types of heat exchangers, off-peak electricity and product prices on system performance are studied. In addition, the grey wolf algorithm is used for multi-objective optimization. The results show that the smaller the heat distribution ratio is, the greater the exergy efficiency and net present value. The large heat distribution ratio leads to a large energy storage density. The effect of the heat exchanger effectiveness on the system performance is different across different positions of the system. With the increase in on-peak electricity and hot water prices and the decline in low peak electricity price, the net present value increases. Under the optimal conditions, the ranges of the energy storage densities and the net present values of the five heat distribution schemes are 15.109 similar to 17.466 MJ.m(-3) and 13.992 x 10(7) similar to 22.616 x 10(7) $, respectively.
机译:高级绝热压缩空气储能系统与其他系统相连不仅具有高效率,而且还具有产生热量和功率的能力,这具有很大的应用潜力。系统产生的合理分配可以提高系统的性能。因此,提出了一种基于高级绝热压缩空气能量存储器的热电联产系统的模型,并建立了五种热分布方案。从热力学和经济学的角度来看,分析和讨论了五种热分布方案的性能(100%,75%,50%,25%,0%)。研究了三种类型的热交换器,低峰电力和产品价格对系统性能的影响。此外,灰狼算法用于多目标优化。结果表明,热分布比越小,高效率和净目的值越大。大的配热比率导致大的储能密度。热交换器效果对系统性能的影响在系统的不同位置不同。随着峰值电力和热水价格的增加,低峰电价下降,净目前的价值增加。在最佳条件下,储能密度的范围和五个热分布方案的净现值为15.109,类似于17.466 mJ.m(-3)和13.992 x 10(7),类似于22.616 x 10(7) $分别。

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