Bottom-up energy system models are often based on hourly time steps due to limited
computational tractability or data availability. However, in order to properly assess the …

Three methods, smart persistence, artificial neural network and random forest, are compared
to forecast the three components of solar irradiation (global horizontal, beam normal and …

The successful deployment of solar-power-towers lies in the reliable design of solar
receivers, assuring the lifetime under high heat flux and cloud passages. Two main damage …

Precise sky classification as a function of cloudiness is desirable or necessary in a variety of
applications. CAELUS, a novel classification algorithm that relies on various thresholds to …

High-temperature thermal energy storage is recognized to be a key technology to ensure
future sustainable energy generation. Packed bed thermal energy storage is a cost …

High resolution synthetic irradiance is of interest for theoretical studies such as grid
integration of solar PV and battery storage analysis. Access to site-specific data is often …

Considering the impact of photovoltaic installations and the fact that their performance
depends on the type of day, this paper presents a classifier that makes use of fuzzy logic to …

In response to the growing necessity for rapid simulation techniques for long-term building
energy forecasting, this study establishes a 'reference day'method. This method significantly …

Solar energy is currently an underutilized renewable energy source that could fulfill low-
temperature industrial heat demands with significant potential in high solar irradiance …

The intra-day modes of variability of the solar resources in the Iberian Peninsula, their
associated weather patterns and their impact on the solar power output are assessed in this …