CFD-based optimization of a transient heating process in a natural gas fired furnace using neural networks and genetic algorithms

Publikation: Beitrag in Fachzeitschrift/ZeitungArtikel

Spracheenglisch
Seiten217
Seitenumfang234
ZeitschriftApplied thermal engineering
Band138
DOIs
StatusVeröffentlicht - Jun 2018

Fields of Expertise

  • Sustainable Systems

Dies zitieren

@article{57c86bfcf8c248c0926c0fa14db8f411,
title = "CFD-based optimization of a transient heating process in a natural gas fired furnace using neural networks and genetic algorithms",
author = "Prieler, {Ren{\'e} Josef} and Markus Mayrhofer and Gaber, {Christian Erich} and Hannes Gerhardter and Christoph Schluckner and Martin Landfahrer and Markus Eichhorn-Gruber and G{\"u}nther Schwabegger and Christoph Hochenauer",
year = "2018",
month = "6",
doi = "10.1016/j.applthermaleng.2018.03.042",
language = "English",
volume = "138",
pages = "217",
journal = "Applied thermal engineering",
issn = "1359-4311",
publisher = "Elsevier Limited",

}

TY - JOUR

T1 - CFD-based optimization of a transient heating process in a natural gas fired furnace using neural networks and genetic algorithms

AU - Prieler,René Josef

AU - Mayrhofer,Markus

AU - Gaber,Christian Erich

AU - Gerhardter,Hannes

AU - Schluckner,Christoph

AU - Landfahrer,Martin

AU - Eichhorn-Gruber,Markus

AU - Schwabegger,Günther

AU - Hochenauer,Christoph

PY - 2018/6

Y1 - 2018/6

U2 - 10.1016/j.applthermaleng.2018.03.042

DO - 10.1016/j.applthermaleng.2018.03.042

M3 - Article

VL - 138

SP - 217

JO - Applied thermal engineering

T2 - Applied thermal engineering

JF - Applied thermal engineering

SN - 1359-4311

ER -