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KITAK, P., PIHLER, J., l GLOTIĆ, A., HORVAT, D., ŠPELIČ, D., ŽALIK, B., TIČAR, I.
APPROACHES TO SPATIAL VISUALIZATION OF OVERHEAD LINES ELECTROMAGNETIC FIELD
KOMUNALNA ENERGETIKA / POWER ENGINERING, 17
This paper deals with the art of voxel visualization technique of electromagnetic radiation on the high voltage transmission line. Results are useful for the electrical engineering society, in education, for environmental agencies and other non-experts. Paper covers three main subjects, i.e. the numerical analysis of electromagnetic field by the finite element method, classical electromagnetic field presentation in postprocessor of numerical program tool and visualization of the electromagnetic field with the volume ray casting technique. In the last representation, for each pixel of the displayed image a ray of sight is shot into voxel space and intersection is calculated. This method enables the representation of results independently of the numerical program tools.
LUKAČ, N., ŽLAUS, D., SEME, S., ŽALIK, B., ŠTUMBERGER, G.
METHOD FOR ESTIMATING ROOFS SOLAR POTENTIAL CALCULATED ON LIDAR DATA
KOMUNALNA ENERGETIKA / POWER ENGINERING, 23
Buildings' roofs are becoming increasingly important for photovoltaic systems installation. They can increase efficiency of electrical usage and decrease the amount of greenhouse emissions. However, not all roofs are suitable for photovoltaic systems installation. This work proposes a method for estimating roofs’ solar potential. The solar potential is calculated on LiDAR data using measurements of direct and diffuse solar irradiance from pyranometer at a given location. Multiresolutional shadowing is proposed for achieving higher accuracy in the solar potential calculation.
LUKAČ, N., ŽLAUS, D., TRSTENJAK, N., ŽALIK, B.
ESTIMATION OF OBJECTS SOLAR POTENTIAL USING LIDAR DATA
KOMUNALNA ENERGETIKA / POWER ENGINERING, 18
Solar energy is an attractive resource to gain electrical energy. Although this resource is renewable and available every day, the maximum amount of incoming energy depends on various factors. In this paper, a method to calculate solar potential of the buildings roofs, for a given location and time frame is given. The proposed method considers position and orientation of Earth in respect to the Sun, inclination of objects and surfaces using detailed topography obtained from LiDAR, influence from shadowing and meteorological effects. The maximum solar energy is adjusted according to the shadowing and meteorological influence. In this way, proposed method gives a better approximation of the real world solar energy potential.
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