聚光太阳能电站潜热蓄热系统综合参数分析及敏感性研究

Hermes Chirino, Ben Xu
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摘要

与太阳能光伏发电(PV)相比,聚光太阳能发电(CSP)可以储存多余的太阳能热能,延长夜间和阴天的发电时间,并平衡能源需求和供应之间的不匹配。为了使CSP具有竞争力,与使用混凝土或河流岩石的TES系统相比,充满相变材料(PCM)的热能存储(TES)系统是一种很有前途的间接储能技术。潜热蓄热(LHTES)系统在大规模CSP应用中的应用引起了太阳能热学界的极大兴趣,因为pcm在融化/冻结过程中可以利用潜热储存更多的热能。因此,为了提高LHTES系统的系统性能,有必要对LHTES系统进行全面的参数分析,因为LHTES系统与使用敏感材料的TES系统相比,储能效率相对较低。在本研究中,仅考虑技术约束(材料性能和运行参数),而不考虑经济约束,构建了LHTES系统的11维无参数空间。然后,基于一维焓的暂态模型进行参数分析,以储能效率为目标函数,实现参数空间中变量数量的最小化。发现斯坦顿数(St)、PCM半径(r)和空隙率(ε)是最重要的三个参数。在此基础上,对影响系统性能的三维无参数空间进行了灵敏度研究。本研究的结果使LHTES系统在能量存储效率方面与使用敏感材料的TES系统具有竞争力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comprehensive Parametric Analysis and Sensitivity Study of Latent Heat Thermal Energy Storage System in Concentrated Solar Power Plants
Compared to Solar Photovoltaics (PV), Concentrated Solar Power (CSP) can store the excess solar thermal energy, extend the power generation at night and cloudy days, and levelize the mismatch between energy demand and supply. To make CSP competitive, Thermal Energy Storage (TES) system filled with phase change material (PCM) is a promising indirect energy storage technique, compared to the TES system using concrete or river rocks. It is of great interests to solar thermal community to apply the latent heat thermal energy storage (LHTES) system for large scale CSP application, because PCMs can store more thermal energy due to the latent heat during the melting/freezing process. Therefore, a comprehensive parametric analysis of LHTES system is necessary in order to improve its systematic performance, since LHTES system has a relatively low energy storage efficiency compared to TES systems using sensible materials. In this study, an 11-dimensionless-parameter space of LHTES system was developed, by considering only the technical constraints (materials properties and operation parameters), instead of economic constraints. Then the parametric analysis was performed based on a 1D enthalpy-based transient model, and the energy storage efficiency was used as the objective function to minimize the number of variables in the parameter space. It was found that Stanton number (St), PCM radius (r), and void fraction (ε) are the three most important ones. The sensitivity study was conducted then based on the three dimensionless-parameter space which will significantly influence the system performance. The results of this study make LHTES system competitive with TES system using sensible materials in terms of energy storage efficiency.
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