The utilization of multi-junction solar cells with high efficiency is still not widespread for terrestrial power applications. These solar cells, composed by several material layers, reach high efficiencies but its cost is expensive, more of 100 higher than classical silicon solar cells. Thus, one solution consists to use reduced sizing solar cells associated with optics mounted on solar tracker to concentrate the solar beam. Numerous meteorological parameters such as beam solar irradiance, ambient temperature and air mass and especially spectral characteristics of sun radiation are involved in the conversion process and are generally used as inputs in power models. Several models from literature, different by their form and by the number and type of input variables, are presented; based on this state-of-art, some similar models are selected and tested on two experimental CPV systems located on two different sites, Ajaccio and Le Bourget du Lac. Then, an operational model of electrical power using inputs easily measured and available for a solar CPV plant operator is developed. It could be used as a decision-aided tool for investors in providing an estimation of the energy production capacity of the CPV systems on the future implantation site. This established model based on data measured on the CPV system in Ajaccio estimates the produced power with a root mean square error of about 5% on the two sites using only a reduced number of inputs.

对于地面电力应用，仍然没有广泛使用具有高效率的多结太阳能电池。这些由多个材料层组成的太阳能电池可达到高效率，但其成本昂贵，比传统的硅太阳能电池高100倍。因此，一种解决方案包括使用尺寸减小的太阳能电池，该太阳能电池与安装在太阳能跟踪器上的光学器件相关联以集中太阳光束。转换过程涉及许多气象参数，例如射束太阳辐照度，环境温度和空气质量，尤其是太阳辐射的光谱特性，通常在功率模型中用作输入。提出了几种文献模型，它们的形式以及输入变量的数量和类型不同。基于这种最新技术，我们选择了一些相似的模型，并在位于两个不同地点（阿雅克修和勒布尔热杜拉克）的两个实验性CPV系统上进行了测试。然后，开发了使用易于测量且可供太阳能CPV工厂操作员使用的输入的电力运行模型。可以将其用作投资者的决策辅助工具，以估算未来植入现场的CPV系统的能源生产能力。基于在阿雅克修（Ajaccio）的CPV系统上测得的数据，该建立的模型估计的发电量在两个站点上的均方根误差约为5％，仅使用减少的输入量即可。开发了一种使用易于测量且可供太阳能CPV工厂操作员使用的输入的电力运行模型。可以将其用作投资者的决策辅助工具，以估算未来植入现场的CPV系统的能源生产能力。该建立的模型基于在阿雅克修（Ajaccio）的CPV系统上测得的数据，仅使用减少的输入数量，就估计了两个站点的发电功率，均方根误差约为5％。开发了一种使用易于测量的输入的电力运行模型，该输入模型可供太阳能CPV电厂运营商使用。可以将其用作投资者的决策辅助工具，以估算未来植入现场的CPV系统的能源生产能力。该建立的模型基于在阿雅克修（Ajaccio）的CPV系统上测得的数据，仅使用减少的输入数量，就估计了两个站点的发电功率，均方根误差约为5％。