Modeling Thermofluid Systems: An Approach Customized for Optimization
Jonas B. Weber () and
Ulf Lorenz ()
Additional contact information
Jonas B. Weber: University of Siegen
Ulf Lorenz: University of Siegen
A chapter in Operations Research Proceedings 2018, 2019, pp 387-393 from Springer
Abstract:
Abstract Many technical applications involve the heating and cooling of fluids. In technical terms, the corresponding systems are called thermofluid systems. These systems can be regarded as fluid systems with superimposed heat transfer. However, since both parts mutually depend on each other, they have to be considered simultaneously. As an extension of previous research on fluid systems, we present a mathematical model for the algorithmic system design of thermofluid systems. This includes modeling the physical properties and system components related to heat transfer. Besides that, another issue arises if heat transfer is considered. While it can be reasonable for fluid systems to be assumed as quasi-stationary systems, this does not hold for most thermofluid systems. Although some can be regarded as quasi-stationary, most of them show dynamic behavior. A major reason for this is that when dealing with heat, storage tanks become important. Thus, an appropriate time representation is required. For this purpose, we introduce a continuous-time approach.
Date: 2019
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:oprchp:978-3-030-18500-8_48
Ordering information: This item can be ordered from
http://www.springer.com/9783030185008
DOI: 10.1007/978-3-030-18500-8_48
Access Statistics for this chapter
More chapters in Operations Research Proceedings from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().