TY  - CPAPER
U1  - Konferenzveröffentlichung
A1  - Anvari, Mehrnaz
A1  - Baldin, Anton
A1  - Clees, Tanja
A1  - Klaassen, Bernhard
A1  - Nikitin, Igor
A1  - Nikitina, Lialia
T1  - Mixing Flows in Dynamic Fluid Transport Simulations
T2  - Briechle, Peccerillo (Eds.): ADVCOMP 2024. The Eighteenth International Conference on Advanced Engineering Computing and Applications in Sciences, September 29-October 03, 2024, Venice, Italy
N2  - This paper presents a new numerically efficient implementation of flow mixing algorithms in dynamic simulation of pipeline fluid transport. Mixed characteristics include molar mass, heat value, chemical composition and the temperature of the transported fluids. In the absence of chemical reactions, the modeling is based on the universal conservation laws for molar flows and total energy. The modeling formulates a sequence of linear systems, solved by a sparse linear solver, typically in one iteration per integration step. The functionality and stability of the developed simulation methods have been tested on a number of realistic network scenarios. The main output of the paper is a functioning and stable implementation of flow mixing algorithms for dynamic simulation of fluid transport networks.
KW  - simulation and modeling
KW  - mathematical and numerical algorithms and methods
KW  - mixing flows
KW  - pipeline fluid transport
Y1  - 2024
U6  - https://nbn-resolving.org/urn:nbn:de:hbz:1044-opus-88199
UN  - https://nbn-resolving.org/urn:nbn:de:hbz:1044-opus-88199
UR  - https://www.thinkmind.org/library/ADVCOMP/ADVCOMP_2024/advcomp_2024_3_10_20010.html
SN  - 978-1-68558-184-8
SB  - 978-1-68558-184-8
SP  - 34
EP  - 39
S1  - 6
CY  - ThinkMind
ER  -