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A comprehensive analysis of a thermal energy storage concept based on low-rank coal pre-drying for reducing the minimum load of coal-fired power plants

机译:基于低级煤预干燥的热能储能概念全面分析降低燃煤发电厂最小负荷

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摘要

In the context of renewables penetration, coal-fired power plants are required to operate at the minimum load in low-demand periods of the grid. However, combustion in the boiler will become unstable in low load conditions, which constrains the load reduction of coal-fired power plants, especially the plants fueled by low-rank coal (LRC). This work proposed a thermal energy storage (TES) concept based on LRC-drying (LD-TES) to reduce the minimum load of LRC-fired power plants (LCPPs). A simple experiment was employed to verify the feasibility of energy storage through LRC drying. The advantage of LD-TES compared with traditional low-temperature TES was revealed based on the thermodynamic analysis. Moreover, an LCPP system integrated with LD-TES was proposed, and the minimum load reduction attributed by LD-TES and the energy/environmental performance of the integrated system is determined quantitatively. To achieve this goal, a thermodynamic model is employed for system simulation and evaluation, and the TES scheme based on hot water tank (HWT-TES) using the same heat source as LD-TES is chosen for comparison. The results show that, pre-drying and storage of LRC is feasible for hourly thermal energy storage, and LD-TES can equivalently store electric power in megawatt magnitude (11.1-25.0 MW) with high round-trip efficiency (92.8%). Besides, LD-TES can also significantly reduce the CO2 emission of LCPP systems.
机译:在可再生能源渗透的背景下,燃煤发电厂需要在电网的低需求期间的最小负载下运行。然而,锅炉中的燃烧将在低负荷条件下变得不稳定,这限制了燃煤发电厂的负荷减少,特别是由低级煤(LRC)燃料的植物。这项工作提出了一种基于LRC干燥(LD-TES)的热能存储(TES)概念,以减少LRC发电厂(LCPPS)的最小负载。采用简单的实验来验证通过LRC干燥能量储存的可行性。基于热力学分析,揭示了与传统的低温TES相比LD-TES的优点。此外,提出了一种与LD-TE集成的LCPP系统,并且定量地确定由LD-TES归因的最小负载和集成系统的能量/环境性能。为了实现这一目标,选择用于系统仿真和评估的热力学模型,选择使用与LD-TES相同的热源的热水箱(HWT-TES)的TES方案进行比较。结果表明,LRC的预干燥和储存对于每小时热能存储是可行的,而LD-TES可以等效地将电力存储在兆瓦幅度(11.1-25.0 MW)中,具有高往返效率(92.8%)。此外,LD-TES还可以显着降低LCPP系统的CO2排放。

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