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4341.
Dopolnitev z zalogovnikom toplote in TČ za gretje sanitarne vode
Henrik Gjerkeš, 2016, professional article

Keywords: Strokovno svetovanje, ogrevanje, toplotna črpalka, polena, sanitarna voda
Published in RUNG: 24.01.2018; Views: 3940; Downloads: 0
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4342.
Pri usklajevanju lastnikov imajo ključno vlogo upravniki : Energijske prenove
Julijana Bavčar, 2017, interview

Abstract: Lastnike stanovanj za energijsko prenovo večstanovanjskih stavb motivira ponudba subvencij, veliko vlogo pa igra tudi povračilni rok za posamezne ukrepe. Pogosto se odločijo za tiste, ki so cenejši in se prej izplačajo, zato ostanejo na pol poti. Ker se razmere pri doseganju energetskih kazalnikov vedno bolj zaostrujejo, tehnologije pa so čedalje zahtevnejše, so uspešni projekti, za katere imajo lastniki že v fazi sprejemanja odločitev strokovno tehnično podporo. O nepogrešljivih korakih za uspešno izvedbo celovite energijske prenove, katere najotipljivejša rezultata sta prihranek za energijo in ugodnejše bivanje, smo se pogovarjali z dr. Marjano Šijanec Zavrl, mag. Mihom Tomšičem in dr. Henrikom Gjerkešem z Gradbenega inštituta ZRMK.
Keywords: Prenova večstanovanjskih stavb, upravniki, učinkovita raba energije
Published in RUNG: 24.01.2018; Views: 4918; Downloads: 0
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4343.
iPTF Discoveries of Recent Type Ia Supernovae
S. Papadogiannakis, Tanja Petrushevska, 2016, other component parts

Abstract: The intermediate Palomar Transient Factory (ATel #4807) reports the discovery and classification of the following Type Ia SNe. Our automated candidate vetting to distinguish a real astrophysical source (1.0) from bogus artifacts (0.0) is powered by three generations of machine learning algorithms: RB2 (Brink et al. 2013MNRAS.435.1047B), RB4 (Rebbapragada et al. 2015AAS...22543402R) and RB5 (Wozniak et al. 2013AAS...22143105W).
Keywords: Supernovae, Transients
Published in RUNG: 24.01.2018; Views: 3195; Downloads: 0
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4344.
iPTF Discoveries of Recent Type Ia Supernovae
S. Papadogiannakis, Tanja Petrushevska, 2016, other component parts

Abstract: Abstract The intermediate Palomar Transient Factory (ATel #4807) reports the discovery and classification of the following Type Ia SNe. Our automated candidate vetting to distinguish a real astrophysical source (1.0) from bogus artifacts (0.0) is powered by three generations of machine learning algorithms: RB2 (Brink et al. 2013MNRAS.435.1047B), RB4 (Rebbapragada et al. 2015AAS...22543402R) and RB5 (Wozniak et al. 2013AAS...22143105W).
Keywords: Supernovae, Transients
Published in RUNG: 24.01.2018; Views: 3357; Downloads: 0
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4345.
iPTF Discoveries of Recent Type Ia Supernovae
Tanja Petrushevska, 2016, other component parts

Abstract: The intermediate Palomar Transient Factory (ATel #4807) reports the discovery and classification of the following Type Ia SNe. Our automated candidate vetting to distinguish a real astrophysical source (1.0) from bogus artifacts (0.0) is powered by three generations of machine learning algorithms: RB2 (Brink et al. 2013MNRAS.435.1047B), RB4 (Rebbapragada et al. 2015AAS...22543402R) and RB5 (Wozniak et al. 2013AAS...22143105W).
Keywords: Supernovae, Transients
Published in RUNG: 24.01.2018; Views: 3293; Downloads: 0
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4346.
iPTF Discovery of Recent Type Ia Supernovae
L. Hangard, Tanja Petrushevska, 2016, other component parts

Abstract: The intermediate Palomar Transient Factory (ATel #4807) reports the discovery and classification of the following Type Ia SNe. Our automated candidate vetting to distinguish a real astrophysical source (1.0) from bogus artifacts (0.0) is powered by three generations of machine learning algorithms: RB2 (Brink et al. 2013MNRAS.435.1047B), RB4 (Rebbapragada et al. 2015AAS...22543402R) and RB5 (Wozniak et al. 2013AAS...22143105W).
Keywords: Supernovae, Transients
Published in RUNG: 24.01.2018; Views: 3034; Downloads: 0
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4347.
Ogrevanje: Prihodnost je v sodobnih daljinskih sistemih z nadzorovanimi emisijami : Ogrevanje na lesno biomaso
Julijana Bavčar, 2017, interview

Abstract: V Sloveniji je raba lesne biomase, ki je imamo kot gozdnata država na pretek, za ogrevanje stavb kot obnovljivi vir energije po eni strani priporočena, po drugi pa je povezana s povečanimi izpusti za zdravje nevarnih trdnih delcev. O optimalni rabi tega vira, ki kar najbolj zmanjša emisije, smo se pogovarjali z dr. Henrikom Gjerkešem z Gradbenega inštituta ZRMK in docentom na Univerzi v Novi Gorici. Najbolj učinkovit in do okolja prijazen način ogrevanja na lesno biomaso so po njegovih besedah sodobni sistemi daljinskega ogrevanja, ki so bistveno bolj nadzorovan proces od individualnih kurišč.
Keywords: Obnovljivi viri energije, lesna biomasa, sistem daljinskega ogrevanja, kogeneracija, plazemsko uplinjanje
Published in RUNG: 23.01.2018; Views: 5048; Downloads: 0
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4348.
Primerjava: radiatorji, talno ogrevanje ali IR paneli : Gradnja in prenova
Henrik Gjerkeš, Nika Gruden, 2017, professional article

Abstract: Značilnosti različnih variant ogrevalnega sistema, ki se razlikujejo po investicijski in stroškovni plati ter po prijaznosti do okolja.
Keywords: Ogrevalni sistem, radiatorji, talno ogrevanje, IR paneli
Published in RUNG: 23.01.2018; Views: 4059; Downloads: 0
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4349.
iPTF Discoveries of Recent Type Ia Supernovae
Raphael Ferretti, Tanja Petrushevska, 2016, other component parts

Abstract: The intermediate Palomar Transient Factory (ATel #4807) reports the discovery and classification of the following Type Ia SNe. Our automated candidate vetting to distinguish a real astrophysical source (1.0) from bogus artifacts (0.0) is powered by three generations of machine learning algorithms: RB2 (Brink et al. 2013MNRAS.435.1047B), RB4 (Rebbapragada et al. 2015AAS...22543402R) and RB5 (Wozniak et al. 2013AAS...22143105W).
Keywords: Supernovae, Transients
Published in RUNG: 23.01.2018; Views: 3141; Downloads: 0
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4350.
iPTF Discoveries of Recent Type Ia Supernovae
S. Papadogiannakis, Tanja Petrushevska, 2016, other component parts

Abstract: Abstract The intermediate Palomar Transient Factory (ATel #4807) reports the discovery and classification of the following Type Ia SNe. Our automated candidate vetting to distinguish a real astrophysical source (1.0) from bogus artifacts (0.0) is powered by three generations of machine learning algorithms: RB2 (Brink et al. 2013MNRAS.435.1047B), RB4 (Rebbapragada et al. 2015AAS...22543402R) and RB5 (Wozniak et al. 2013AAS...22143105W).
Keywords: Supernovae, Transients
Published in RUNG: 23.01.2018; Views: 3327; Downloads: 0
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