| Title |
Adequacy study of hybrid model for ammonia plant processes / |
| Authors |
Oberauskas, G ; Galvanauskas, V |
| DOI |
10.33564/IJEAST.2020.v05i02.002 |
| Full Text |
|
| Is Part of |
International journal of engineering applied sciences and technology.. [S.l.] : Researcher Index Society for Engineers. 2020, vol. 5, iss. 2, p. 8-13.. ISSN 2455-2143 |
| Keywords [eng] |
process modeling ; model adequacy ; system validation ; chemical technology ; system identification ; artificial neural networks (ANN) |
| Abstract [eng] |
Peculiarities of ammonia production technology chemical process modeling and identification of hybrid mathematical model parameters are described. Presented hybrid models for ammonia production processes using mass balance equations and artificial neural networks instead of mechanistic absolute reaction rate models. Hybrid models of chemical processes (absolute reaction rates) identified by sensitivity equations using artificial neural networks ANN. The hybrid model adequacy results are presented and discussed. |
| Published |
[S.l.] : Researcher Index Society for Engineers |
| Type |
Journal article |
| Language |
English |
| Publication date |
2020 |
| CC license |
|
