1977
DOI: 10.1016/0098-1354(77)80017-3
|View full text |Cite
|
Sign up to set email alerts
|

Dynamic simulation of chemical processes described by distributed and lumped parameter models

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

1982
1982
2020
2020

Publication Types

Select...
3
2
1

Relationship

0
6

Authors

Journals

citations
Cited by 12 publications
(2 citation statements)
references
References 9 publications
0
2
0
Order By: Relevance
“…We use a lumped element approximation [81], [82] to characterize edge dynamics ( 5) and ( 6), with nodal conditions (9) and ( 10) and subject to injection profiles q i (t), which approximately defines the state on the network in terms of nodal densities ρ j (t). Our approach is to add enough nodes to the network so that density and flow are nearly uniform on any given segment.…”
Section: Discretized System Dynamicsmentioning
confidence: 99%
“…We use a lumped element approximation [81], [82] to characterize edge dynamics ( 5) and ( 6), with nodal conditions (9) and ( 10) and subject to injection profiles q i (t), which approximately defines the state on the network in terms of nodal densities ρ j (t). Our approach is to add enough nodes to the network so that density and flow are nearly uniform on any given segment.…”
Section: Discretized System Dynamicsmentioning
confidence: 99%
“…More specifically, a process that can be described entirely in terms of lumped parameters will give rise to a model composed of a mixed set of ordinary differential and algebraic equations . On the other hand, a process that also contains unit operations with variables distributed in one or more spatial dimensions will typically yield a mixed set of partial differential, ordinary differential, and algebraic equations (Heydweiller et al, 1977). Terms that must be integrated over one or more spatial dimensions, or particulate system modeling by means of population balances, may also add integrals to the above set of equations (Marquardt, 1991).…”
Section: Mathematical Formulation Of the Combined Process Simulation mentioning
confidence: 99%