The field of concentrating photovoltaic-thermal (CPV-T) systems based on nanofluid spectral filtering has advanced significantly in the past decade. However, there is still a need to perform economic feasibility analyses for these systems. In this work, an assessment of the cost of implementation of CPV-T power plants using the spectral-splitting technique was performed. Three types of solar power plant were analyzed, including a purely thermal parabolic trough, a hybrid Si-based, and a hybrid GaAs-based power plant. The levelized cost of energy (LCOE) algorithm included inputs obtained from random variables to obtain LCOE values and energy generation for each type of power plant as a probability distribution. The results show that a purely thermal parabolic trough system has a minimum LCOE of 13.29 ¢/kWh at a solar multiple of 1.75, while the hybrid Si and hybrid GaAs power plants had a minimum LCOE of 17.83 ¢/kWh at a solar multiple of 2.5, and 14.50 ¢/kWh at a solar multiple of 3. The results in this work demonstrate that spectral-splitting CPV-T power plants can achieve energy costs comparable to conventional parabolic power plants depending on the solar multiple, solar cell material, and technical and financial variables.

在过去十年中，基于纳米流体光谱滤波的聚光光伏热 (CPV-T) 系统领域取得了显着进展。但是，仍然需要对这些系统进行经济可行性分析。在这项工作中，对使用光谱分裂技术的 CPV-T 发电厂的实施成本进行了评估。分析了三种类型的太阳能发电厂，包括纯热抛物线槽、混合硅基和混合砷化镓发电厂。能源平准化成本 (LCOE) 算法包括从随机变量获得的输入，以获得每种类型发电厂的 LCOE 值和能源发电量作为概率分布。结果表明，纯热抛物线槽系统在太阳倍数为 1.75 时的最小 LCOE 为 13.29 ¢/kWh，