Hans Georg Beyer

TL;DR: An approach to predict regional PV power output based on forecasts up to three days ahead provided by the European Centre for Medium-Range Weather Forecasts (ECMWF) and an approach to derive weather specific prediction intervals for irradiance forecasts are presented.

TL;DR: In this article, the HELIOSAT method applied to derive surface solar irradiance from satellite images is described and shown examples of applications: the use of daylight in buildings, the generation of correlated time series of solar irradiances and temperature as input data for simulations of solar energy systems and a short-term forecast of sun irradiance which can be used in intelligent building control techniques.

TL;DR: In this paper, an analytical model based on the spatial correlation function of the prediction error is derived to describe the statistical characteristics of arbitrary configurations of wind farms, and it is shown that the magnitude of the error reduction depends only weakly on the number of sites and is mainly determined by the size of the region.

TL;DR: In this paper, a method for estimating the energy yield of photovoltaic (PV) modules at arbitrary locations in a large geographical area is presented. And the method applies a mathematical model for the energy performance of PV modules as a function of in-plane irradiance and module temperature and combines this with satellite data and ambient temperature values from ground station measurements.

TL;DR: The Heliosat method is a widely applied procedure for estimating solar irradiance fluxes at the earth's surface as discussed by the authors, which is based on the empirical correlation between a satellite derived cloud index and the irradiance at the ground.