Abstract: Disclosed herein are coatings having enhanced reflectivity for electromagnetic radiation, as well as a process for producing the coatings.

Abstract: Disclosed herein are retroreflective pigments and paints including the retroreflective pigments.

Abstract: Described herein is a photovoltaic module, which includes PV cells capable of converting light incoming from a front side and from a rear side (3) and a transparent rear side including a rear surface carrying a structured layer (9), where the lower surface of the structured layer (9) is the lower surface of the module, and where the surface of layer (9) is structured by parallel V-shaped grooves of depth h2 or less than h2, where the lateral faces of the grooves of depth less than h2 form a groove angle beta and adjacent faces of neighbouring grooves form a peak of apex angle alpha, characterized in that h2 is from the range 5 to 200 micrometer, and each pair of neighbouring grooves includes one groove of depth h2 and one groove of depth (h2?h1), where h1 ranges from 0.1 h2 to 0.9 h2.

Abstract: Described herein is a photovoltaic module, which includes PV cells capable of converting light incoming from the front side and from the rear side, the module including a front side exposing an upper external surface designed for receiving direct sunlight and a rear side exposing a lower external surface designed for receiving diffuse light, where the lower external surface is formed, at least in part, by a microstructured layer, characterized in that the microstructured layer includes pyramidal microstructures whose triangular bases are fixed in the layer. The microstructured layer results in anisotropic transmission properties. The module shows improved efficiency compared to similar bifacial PV modules.

Abstract: Described herein is a computer-implemented method for simulating texture features of a n-layer target coating, the method including at least the steps of: a) providing known real geometrical properties and known individual ingredients with known real material properties; b) modelling the n-layer target coating in a virtual environment; c) virtually tracing rays of light from one or more light sources towards an aim region defined on a surface of the n-layer target coating; d) virtually collecting rays of light that interacted with the n-layer target coating; e) virtually determining, at least one of an angular, a spectral and a spatial distribution of intensity of the rays of light re-emitted from or reflected by the n-layer target coating; and f) evaluating the determined distribution(s) of intensity and outputting, by an output device, at least one image based on the evaluation.

Abstract: Described herein is a photovoltaic module, which includes PV cells capable of converting light incoming from a front side and from a rear side (3) and a transparent rear side including a rear surface carrying a structured layer (9), where the lower surface of the structured layer (9) is the lower surface of the module, and where the surface of layer (9) is structured by parallel V-shaped grooves of depth h2 or less than h2, where the lateral faces of the grooves of depth less than h2 form a groove angle beta and adjacent faces of neighbouring grooves form a peak of apex angle alpha, characterized in that h2 is from the range 5 to 200 micrometer, and each pair of neighbouring grooves includes one groove of depth h2 and one groove of depth (h2?h1), where h1 ranges from 0.1 h2 to 0.9 h2.

Abstract: Described herein is a method for identifying an interference pigment in a coating. Also described herein is a corresponding device and a computer-readable medium.

Abstract: Described herein is a method for simulating a visibility of a coating applied on a surface for a LiDAR sensor, which includes at least the following steps: applying the coating on the surface (301); measuring a respective reflection of light having an operating wavelength of the LiDAR sensor from the surface coated with the coating at a multiplicity of illumination and/or measurement angles (302); adapting a bidirectional reflectance distribution function for the coating as a function of the respective illumination and/or measurement angle to the respective measured reflections (303); simulating a propagation of the light emitted by the LiDAR sensor and reflected by the surface coated with the coating on the basis of the adapted bidirectional reflectance distribution function by means of a ray tracing application (304); outputting a brightness image.