Cooling Circuit Simulation II: A Numerical Example

Tanja Clees (), Nils Hornung, Detlef Labrenz, Michael Schnell, Horst Schwichtenberg, Hayk Shoukourian, Inna Torgovitskaia and Torsten Wilde
Additional contact information
Tanja Clees: Fraunhofer Institute for Algorithms and Scientific Computing SCAI
Nils Hornung: Fraunhofer Institute for Algorithms and Scientific Computing SCAI
Detlef Labrenz: Leibniz Supercomputing Centre of the Bavarian Academy of Sciences and Humanities
Michael Schnell: Fraunhofer Institute for Algorithms and Scientific Computing SCAI
Horst Schwichtenberg: Fraunhofer Institute for Algorithms and Scientific Computing SCAI
Hayk Shoukourian: Leibniz Supercomputing Centre of the Bavarian Academy of Sciences and Humanities
Inna Torgovitskaia: Fraunhofer Institute for Algorithms and Scientific Computing SCAI
Torsten Wilde: Leibniz Supercomputing Centre of the Bavarian Academy of Sciences and Humanities

A chapter in Scientific Computing and Algorithms in Industrial Simulations, 2017, pp 153-180 from Springer

Abstract: Abstract Cooling as well as heating circuits can be modeled as a network of elements that obey mass, momentum, and energy balance laws. Typical elements in such circuits are pipes, regulated pumps, regulated (multi-way) valves, and energy exchangers. Since cooling or heating can need a lot of energy, one is interested in understanding, reducing, and re-using energy flows. Supercomputing centers provide one important class of applications here. This article provides a detailed case study of a real system for which measurements and technical data are available. We briefly discuss our overall MYNTS framework for modeling, simulation, and optimization of such circuits. In more detail, we explain by means of a case study how we obtain and combine the network topology, element characteristics, and measurement data in order to set up and validate simulation models. Numerical results are presented and discussed. The case study is complemented in Clees et al. (Cooling Circuit Simulation I: Modeling. Springer, Berlin, 2017) (see pages 61–79 in this book) by a general introduction to the underlying physical model and its numerical treatment.

Date: 2017
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-62458-7_8

Ordering information: This item can be ordered from
http://www.springer.com/9783319624587

DOI: 10.1007/978-3-319-62458-7_8

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().