Cooling Circuit Simulation I: Modeling

Tanja Clees (), Nils Hornung, Éric Lluch Alvarez, Igor Nikitin, Lialia Nikitina and Inna Torgovitskaia
Additional contact information
Tanja Clees: Fraunhofer Institute for Algorithms and Scientific Computing SCAI
Nils Hornung: Fraunhofer Institute for Algorithms and Scientific Computing SCAI
Éric Lluch Alvarez: Fraunhofer Institute for Algorithms and Scientific Computing SCAI
Igor Nikitin: Fraunhofer Institute for Algorithms and Scientific Computing SCAI
Lialia Nikitina: Fraunhofer Institute for Algorithms and Scientific Computing SCAI
Inna Torgovitskaia: Fraunhofer Institute for Algorithms and Scientific Computing SCAI

A chapter in Scientific Computing and Algorithms in Industrial Simulations, 2017, pp 61-79 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. For these elements, we give an overview of the modeling process including the basics of the continuum mechanics of fluids, together with simplifying assumptions that are practically acceptable. Moreover, we consider the modeling of network domains and the numerical treatment of the problem. The overview is designed for a reader interested in the implementation of the presented methods. We also address deep coupling of the simulation with optimization algorithms. For this purpose, we show how a model needs to be set up in order for Newton-type solvers and interior point methods to be applicable to it. The introduction of the model is complemented in (T. Clees et al., Scientific Computing and Algorithms in Industrial Simulations. Springer, Cham, 2017) by a very detailed case study conducted on a real system, being part of a supercomputing center.

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_4

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

DOI: 10.1007/978-3-319-62458-7_4

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 ().