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<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://repozitorij.uni-lj.si/IzpisGradiva.php?id=180914"><dc:title>The effect of surrounding topography on calculated solar gains in buildings using dynamic building energy modeling (BEM)</dc:title><dc:creator>Hausmeister,	Alen	(Avtor)
	</dc:creator><dc:creator>Ogrin,	Matej	(Avtor)
	</dc:creator><dc:creator>Gregorčič,	Tim	(Avtor)
	</dc:creator><dc:creator>Malovrh Rebec,	Katja	(Avtor)
	</dc:creator><dc:subject>hourly dynamic method</dc:subject><dc:subject>solar gains</dc:subject><dc:subject>sky-view factor</dc:subject><dc:subject>elevated horizon</dc:subject><dc:subject>BIM</dc:subject><dc:description>This paper presents a methodology for integrating terrain shadows of micro-locations into building energy modeling (BEM) for topographically diverse regions. Dynamic energy simulations rely on high-resolution weather data sourced from reference locations that cover a climate zone. As soon as the micro-location of the simulated building is away from the weather reference site, topographic shading can trigger deviations. This study developed a three-dimensional reproduction of the micro-location’s surrounding terrain as a simplified ring model based on available horizon height captured from PVGIS. In a radius of 20 km, 4 Slovenian cities from the same climatic zone have been analyzed and compared with a baseline calculation. When comparing solar gains (SG) of chosen micro-locations, a tendency is noticeable—the lower the Sky-view Factor (SVF), the higher the SG deficit. Additional calculations have been conducted for different SVF/aspect ratios and used in a geographical survey. Results show that at least half of the Slovenian land surface which is inhabited by 21% of the population, has characteristics where topography influences calculated Solar Gains (SG). In those areas, the potential SG deficit is distributed from barely perceptible to more than 25% in certain areas. This approach enhances the precision of BEM in topographically varied landscapes and can inform better design and planning decisions.</dc:description><dc:date>2026</dc:date><dc:date>2026-03-19 11:33:39</dc:date><dc:type>Neznano</dc:type><dc:identifier>180914</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
