The economic risk of solar plant projects due to the inter-annual solar resource variability is usually quantified by the exceedance probabilities. The estimation of these probabilities depends on the datasets used for the study; actually, the uncertainty associated to these datasets affects the viability study of the project. Due to this dependence, in this work two different types of datasets are used in the estimation of the exceedance probabilities and their uncertainties: synthetic datasets and satellite-derived datasets.

Besides, the intra-annual variability of the irradiation variations (intermittency) can affect the production rate of the solar plant. Thus, the knowledge of this variability allows us to foresee the discontinuities in the production rate of the solar plants and to plan the needs for high or low storage capacity according to different temporal periods. In order to quantify the effect of the intra-annual variability in the viability study, a Viability Index based on Discontinuity in the production rate, VID, is proposed, which estimates viability from the exceedance probabilities of the variations. The inclusion of this analysis can provide us with important information about the viability assessment of the projects.

由于太阳能资源的年际变化，太阳能发电厂项目的经济风险通常通过超出概率来量化。这些概率的估计取决于用于研究的数据集；实际上，与这些数据集相关的不确定性会影响项目的可行性研究。由于这种依赖性，在这项工作中使用了两种不同类型的数据集来估计超出概率及其不确定性：合成数据集和卫星衍生数据集。

此外，辐照变化（间歇性）的年内变化会影响太阳能发电厂的生产率。因此，对这种可变性的了解使我们能够预见太阳能发电厂生产率的不连续性，并根据不同的时间段来规划高或低存储容量的需求。为了量化生存力研究中年内变化的影响，提出了基于生产率不连续性的生存力指数，VID，它根据变化的超出概率估计生存力。包含此分析可为我们提供有关项目可行性评估的重要信息。