Thermodynamic performance of a cryogenic energy storage system based on natural gas liquefaction

Xiaoqiao Qin , Hongbo Tan , Wei Shen , Na Wen , Yu Sun
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Abstract

Cryogenic energy storage (CES) is a viable method for grid-scale electrical energy storage. Considering the high energy density and mature application of liquefied natural gas (LNG), we proposed an LNG cryogenic energy storage (LNGES) system. A steady-state process model of the LNGES system was established using Aspen HYSYS. The effects of the natural gas composition and key operating parameters such as the charging pressure, discharging pressure, throttling temperature, and liquid storage pressure on the system performance were investigated. A multi-parameter genetic algorithm model built using the MATLAB software was used to optimize the LNGES system to optimize the round-trip efficiency (RTE). Then, an exergy analysis of the optimal configuration was conducted. The results suggested that the LNGES system could achieve optimal RTE and exergy efficiency values of 60.14% and 71.64%, respectively. Exergy destruction mainly occurred during the compression, throttling, expansion, and heat exchange. The proposed LNGES system could be a promising candidate for the large-scale application of CES technology in power grids and gas networks.

基于天然气液化的低温储能系统的热力学性能
低温储能(CES)是电网规模电能存储的一种可行方法。考虑到液化天然气(LNG)的高能量密度和成熟应用,我们提出了液化天然气低温储能(LNGES)系统。利用 Aspen HYSYS 建立了 LNGES 系统的稳态过程模型。研究了天然气成分以及充气压力、排气压力、节流温度和储液压力等关键运行参数对系统性能的影响。使用 MATLAB 软件建立的多参数遗传算法模型对 LNGES 系统进行了优化,以优化往返效率(RTE)。然后,对最佳配置进行了能效分析。结果表明,LNGES 系统的最佳往返效率和放能效率值分别为 60.14% 和 71.64%。放能破坏主要发生在压缩、节流、膨胀和热交换过程中。拟议的 LNGES 系统有望成为 CES 技术在电网和天然气网络中大规模应用的候选系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
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