Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Rene Hofmann"'
Publikováno v:
IEEE Access, Vol 11, Pp 137718-137733 (2023)
The discussion of energy efficiency in the steel ladle dispatching literature is currently limited to indirectly minimizing waiting and heating times. Not explicitly considering the ladle’s thermal balance may lead to sub-optimal solutions and safe
Externí odkaz:
https://doaj.org/article/d6da4aede90746d288df80e627817a35
Publikováno v:
IEEE Access, Vol 10, Pp 66844-66861 (2022)
Hierarchical optimization architectures are typically employed to manage industrial steam processes efficiently. The key challenge today is to find a near global optimum despite these subdivided automation structures. This paper proposes a novel coop
Externí odkaz:
https://doaj.org/article/a7a5b6920490420e91fd3e43aa964e51
Publikováno v:
IEEE Access, Vol 9, Pp 113052-113060 (2021)
Increasing flexibility and efficiency of energy-intensive industrial processes is generally seen as a big lever towards a decarbonized energy system of the future. However, to leverage these potentials, the accurate prediction of unit behavior is ess
Externí odkaz:
https://doaj.org/article/d554afe4e31242cdba8f17fca42b96d3
Publikováno v:
IEEE Access, Vol 7, Pp 74747-74758 (2019)
Building Information Modeling (BIM) is a process that collects building data in a central data model. This data can not only be used to plan and construct a building but to design the controls for heating, ventilation and air conditioning (HVAC) syst
Externí odkaz:
https://doaj.org/article/a730248ce0394f79b9bfa096bc4ab217
Publikováno v:
Case Studies in Thermal Engineering, Vol 25, Iss , Pp 100900- (2021)
The industry is responsible for about one third of the global energy consumption, and thus, reducing energy and emissions in this sector is crucial to reach global climate goals. Methods like operational optimization can improve industrial processes
Externí odkaz:
https://doaj.org/article/a83bb5f48810436dbe4499e67198636a
Publikováno v:
Applied Sciences, Vol 10, Iss 24, p 8903 (2020)
Digital Twins have been in the focus of research in recent years, trying to achieve the vision of Industry 4.0. In the domain of industrial energy systems, they are applied to facilitate a flexible and optimized operation. With the help of Digital Tw
Externí odkaz:
https://doaj.org/article/71d709097fb3461f8a3f5f03b5564a98
Renewable energies have an entirely different cost structure than fossil fuel-based electricity generation. This is mainly due to the operation at zero marginal cost, whereas for fossil fuel plants, the fuel itself is a major driver of the entire cos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d155ddb92ada70be90cdfcc37eab001d
https://wes.copernicus.org/preprints/wes-2022-99/
https://wes.copernicus.org/preprints/wes-2022-99/
Autor:
Felix Birkelbach, Paul Schwarzmayr, Lukas Kasper, Daniel Ramsauer, Gernot Steindl, Rene Hofmann
Publikováno v:
Applied Sciences; Volume 12; Issue 14; Pages: 6981
Digitalization and concepts such as digital twins (DT) are expected to have huge potential to improve efficiency in industry, in particular, in the energy sector. Although the number and maturity of DT concepts is increasing, there is still no standa
Autor:
Rene Hofmann, Heimo Walter
Publikováno v:
Journal of Thermal Science and Engineering Applications. 4
The heat transfer and pressure drop behavior of segmented circular and helical as well as solid finned tubes are investigated in a three-dimensional numerical study. The simulation is carried out using a finite volume method for calculating the stead
Autor:
Simon Moser, Sebastian Goers, Kathrin de Bruyn, Rene Hofmann, Sophie Panuschka, Christoph Sejkora, Thomas Kienberger, Markus Haider, Andreas Werner, Christoph Brunner, Jürgen Fluch, Anna Grubbauer
Publikováno v:
Montanuniversität Leoben
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7d9a5ac1664e7111b72b5271ec9595d1
https://puretest.unileoben.ac.at/portal/en/publications/renewables4industry--abstimmung-des-energiebedarfs-von-industriellen-anlagen-und-der-energieversorgung-aus-fluktuierenden-erneuerbaren(6a0dcaa4-3a97-47d9-bae0-7e214278d91e).html
https://puretest.unileoben.ac.at/portal/en/publications/renewables4industry--abstimmung-des-energiebedarfs-von-industriellen-anlagen-und-der-energieversorgung-aus-fluktuierenden-erneuerbaren(6a0dcaa4-3a97-47d9-bae0-7e214278d91e).html