Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Gašper Stegnar"'
Autor:
Grega Žorž, Marko Krevs, Blaž Repe, Tinkara Mazej, Matjaž Knez, Klemen Prah, Mihaela Triglav Čekada, Urška Drešček, David Jesenko, Natalija Novak, Urša Kanjir, Aleš Marsetič, Marko Kovač, Gašper Stegnar, Žiga Kokalj, Jernej Nejc Dougan, Klemen Čotar, Marjana Duhovnik, Marija Brnot, Andreja Švab Lenarčič, Michal Polgár, Jakub Adamec, Sebastijan Nograšek, Jaka Klement, Špela Jereb Planinšek, Eva Kolbl, Nataša Golobič, Boštjan Kop, Niko Gaberc, Tomaž Šturm, Janez Nared, Katarina Polajnar Horvat, Matej Gabrovec, Nika Razpotnik Visković, Jernej Tiran, Simon Koblar, Bernarda Zrimšek, Anton Švigelj, Ajda Katarina Degan, Samo Drobne, Jan Jež, Miha Krofel, Teresa Oliveira, Lan Hočevar, Urša Fležar, Nejc Čož, Klemen Lisjak, Paolo Sivilotti, Alen Mangafić, Blaž Komac, Mauro Hrvatin, Manca Volk Bahun, Jernej Jež, Špela Kumelj, Gašper Bokal, Mateja Jemec Auflič, Mojca Dolinar, Anže Medved, Janez Bergant, Peter Kastelic, Borut Vrščaj, Stanka Šebela, Jure Tičar, Timotej Verbovšek, Matija Zorn, Drago Perko, Matjaž Geršič, Špela Čonč, Rok Ciglič, Mateja Breg Valjavec
Publikováno v:
GIS v Sloveniji ISBN: 9789610506683
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26b686273cd16859c700af7c7157aef6
https://doi.org/10.3986/9789610506683
https://doi.org/10.3986/9789610506683
Autor:
J. Čižman, Stane Merše, A. Urbančič, Matjaz Cesen, D. Staničić, J. Prestor, Gašper Stegnar, S. Pestotnik
Publikováno v:
Energy. 180:405-420
The deployment of geothermal energy systems can significantly contribute to climate change mitigation and play a part in the transition to a low carbon society. This study proposes a framework for identifying the shallow geothermal energy potential o
Autor:
Tomo Cerovsek, Gašper Stegnar
Publikováno v:
Energy. 173:317-331
The paper presents digital methodology that can gradually and efficiently streamline the energy renovation of office buildings. Building Information Modelling (BIM) and energy simulations are widely used to facilitate informed decision-making. Signif
Assessing solar potential and battery instalment for self-sufficient buildings with simplified model
Publikováno v:
Energy. 173:1182-1195
The current governing economic policies and models are favoring maximizing overall solar panel power production in an effort to mitigate climate change. Those were adequate for relative low share of solar power within entire energy mix. As the share
Publikováno v:
Proceedings of the 50th International HVAC&R Congress and Exhibition.
The research expands the bottom-up approach to determine investment cost for self-sufficient Solar Plus systems. Existing solar maps usually utilize net-metering scheme and treat electricity grid as giant battery. However, with increased solar produc
Autor:
Marjana Šijanec Zavrl, Gašper Stegnar
Publikováno v:
Procedia Environmental Sciences. 38:52-59
Building energy performance forecasting is a well-known challenge. Several studies show that, when in operation, heating, ventilation and air conditioning (HVAC) systems in buildings do not perform exactly as predicted because of climate differences,
Autor:
M. Kramar, Neva Jejčič, Gašper Stegnar, Andraž Rakušček, L. Zupančič, Miha Tomšič, M. Šijanec Zavrl
Publikováno v:
Energy Procedia. 78:2316-2321
The overall objective of the FP7 EE-Highrise project is to demonstrate and validate new technologies, concepts and systems for sustainable, nearly zero energy building (nZEB) construction in order to test and assess the technological and economic fea
Publikováno v:
Journal of Geoscience and Environment Protection. :45-54
Nearly zero energy buildings (nZEB) will become an obligatory energy efficiency standard in Europe. Following to common guidelines in European legislation, the countries investigated technical and economic framework for the preparation of detailed na
Publikováno v:
Sustainability; Volume 8; Issue 10; Pages: 1063
Sustainability, Vol 8, Iss 10, p 1063 (2016)
Sustainability, Vol 8, Iss 10, p 1063 (2016)
The paper addresses the development of a bottom-up building stock energy model (BuilS) for identification of the building stock renovation potential by considering energy performance of individual buildings through cross-linked data from various publ