Sensitivity Analysis of the Levelized Cost of Electricity for a Particle-Based CSP System

Luis F. González-Portillo, Kevin Albrecht, J. Sment, Brantley Mills, C. Ho
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引用次数: 1

Abstract

This study presents a sensitivity analysis of the LCOE for a particle-based system with the costs of the most current components. New models for the primary heat exchanger, thermal energy storage and tower are presented and used to establish lower and upper bounds for these three components. The rest of component costs such as particle cost, cavity cost, lift cost and balance of power are set to lower and upper bounds estimating a 25% of uncertainty. Some relevant parameters such as lift efficiency and storage thermal resistance are also included in the analysis with a 25% uncertainty. This study also includes an upgrade to the receiver model by including the wind effect in the efficiency, which was not included in previous publications. A parametric analysis shows the optimum values of solar multiple, storage hours, tower height and concentration ratio, and a probabilistic analysis provides a cumulative distribution function for a range of LCOE values. The results show that the LCOE could be below $0.06/kWh with a probability of 90%, where the highest uncertainty is on the primary heat exchanger cost.
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基于颗粒的光热发电系统平准化电力成本敏感性分析
本研究提出了一个灵敏度分析的LCOE的粒子为基础的系统与最新的组件的成本。提出了一次换热器、蓄热器和塔的新模型,并建立了这三个部件的上下限。其余的组件成本,如颗粒成本、空腔成本、升力成本和功率平衡,都设定为25%的不确定性的下限和上限。一些相关参数,如升力效率和存储热阻也包括在分析中,不确定度为25%。本研究还包括对接收器模型的升级,包括效率中的风效应,这在以前的出版物中没有包括。参数分析得到了太阳能倍率、蓄电时数、塔高和集中度比的最优值,概率分析给出了LCOE值范围的累积分布函数。结果表明,LCOE可能低于0.06美元/千瓦时的概率为90%,其中最大的不确定性是一次换热器成本。
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