基于熔盐的纳米流体用于太阳能热电厂:一个案例研究

Kashif Liaqat, J. Ordonez
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引用次数: 2

摘要

本文介绍了熔融盐基纳米流体对聚光太阳能(CSP)电站性能提高的影响。这项研究是在巴基斯坦进行的,这个国家长期以来一直在与能源危机作斗争。此前,已经证明在巴基斯坦建设CSP工厂是一个可行的选择。这篇论文的目的是为巴基斯坦的一个CSP工厂找到纳米颗粒和熔盐的最佳组合。选定的地点位于信德省纳瓦布沙的Nara沙漠,年直接正常辐照度为1955 kWh/m2。一个100兆瓦的抛物槽集热器(PTC)电厂使用系统顾问模型(SAM)建模,并集成了长达10小时的热能储存。通过与商业规模工厂的结果比较,验证了该模型的有效性。从文献中,我们选择了不同馏分在PTC集热器性能增强中使用率最高的纳米颗粒(CuO、Al2O3和TiO2),并将Hitec Solar Salt作为基液。对每种工作流体进行了参数优化。根据年发电量、容量系数、工厂效率和所需的蓄热量对性能进行比较。结果表明,采用纳米流体后,年发电量、容量系数和效率分别提高了8.86%、8.88%和8.9%,而蓄热体积减少了36.02%。CuO、Al2O3和TiO2的最佳纳米颗粒含量分别为1%、2%和5%。
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Molten Salt Based Nanofluids for Solar Thermal Power Plant: A Case Study
This work presents the effect of using molten salt-based nanofluids for performance enhancement of Concentrated Solar Power (CSP) plant. The study is carried out in the context of Pakistan, a country that has been struggling with energy crises for a very long time. Previously, it has been shown that a CSP plant in Pakistan is a feasible option. This paper aims to find an optimal combination of nanoparticles and molten salt for a CSP plant in Pakistan. The selected site Nara desert, Nawabshah in the province of Sindh receives an annual direct normal irradiance of 1955 kWh/m2. A 100 MW Parabolic Trough Collector (PTC) plant is modeled using the System Advisor Model (SAM) and is integrated with thermal energy storage of up to 10 hours. The model is validated by comparing results with commercial-scale plants. From literature, nanoparticles with the highest share of usage in performance enhancement of PTC collectors (CuO, Al2O3, and TiO2) with different fractions are selected and Hitec Solar Salt is considered as the base fluid. Parametric optimization is carried out for each of the working fluids. The performance is compared based on annual power generation, capacity factor, plant efficiency, and required Thermal Storage volume. The comparison shows that by using nanofluids, the annual power generation, capacity factor, and efficiency are increased by 8.86%, 8.88%, and 8.9% respectively, whereas the volume of thermal storage is reduced by 36.02%. The optimal fraction of nanoparticles is found to be 1%, 2%, and 5% for CuO, Al2O3, and TiO2, respectively.
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