Abstract
Based on a previously developed dynamic simulator, aimed to predict the distribution of a pollutant accidental discharge in a river segment, the present work investigated the way automatic measures may be implemented for counteracting their negative effects. The complex time and space distribution of the pollutant concentration in the downstream region of the pollutant release is revealed by the k-ε turbulence model of the flow, associated to the convection-diffusion-reaction processes. This information is used by the model based predictive control strategy for adding a neutralizing agent in certain points of the river segment in order to reduce the downstream pollutant concentration. Both feedback and combined feeedback-feedforward model predictive control structures are considered and the results are presented for the case study of a River Somes segment, in the scenario of the continuous pollutant release.
| Original language | English |
|---|---|
| Pages (from-to) | 1003-1008 |
| Number of pages | 6 |
| Journal | Computer Aided Chemical Engineering |
| Volume | 32 |
| DOIs | |
| Publication status | Published - Jun 20 2013 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Chemical Engineering(all)
- Computer Science Applications
Cite this
}
Advanced control used for counteracting accidental pollutant propagation in rivers. / Cristea, Vasile Mircea; Ani, Elisabeta Cristina; Agachi, Paul Serban.
In: Computer Aided Chemical Engineering, Vol. 32, 20.06.2013, p. 1003-1008.Research output: Contribution to journal › Article
TY - JOUR
T1 - Advanced control used for counteracting accidental pollutant propagation in rivers
AU - Cristea, Vasile Mircea
AU - Ani, Elisabeta Cristina
AU - Agachi, Paul Serban
PY - 2013/6/20
Y1 - 2013/6/20
N2 - Based on a previously developed dynamic simulator, aimed to predict the distribution of a pollutant accidental discharge in a river segment, the present work investigated the way automatic measures may be implemented for counteracting their negative effects. The complex time and space distribution of the pollutant concentration in the downstream region of the pollutant release is revealed by the k-ε turbulence model of the flow, associated to the convection-diffusion-reaction processes. This information is used by the model based predictive control strategy for adding a neutralizing agent in certain points of the river segment in order to reduce the downstream pollutant concentration. Both feedback and combined feeedback-feedforward model predictive control structures are considered and the results are presented for the case study of a River Somes segment, in the scenario of the continuous pollutant release.
AB - Based on a previously developed dynamic simulator, aimed to predict the distribution of a pollutant accidental discharge in a river segment, the present work investigated the way automatic measures may be implemented for counteracting their negative effects. The complex time and space distribution of the pollutant concentration in the downstream region of the pollutant release is revealed by the k-ε turbulence model of the flow, associated to the convection-diffusion-reaction processes. This information is used by the model based predictive control strategy for adding a neutralizing agent in certain points of the river segment in order to reduce the downstream pollutant concentration. Both feedback and combined feeedback-feedforward model predictive control structures are considered and the results are presented for the case study of a River Somes segment, in the scenario of the continuous pollutant release.
UR - http://www.scopus.com/inward/record.url?scp=84879016071&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84879016071&partnerID=8YFLogxK
U2 - 10.1016/B978-0-444-63234-0.50168-8
DO - 10.1016/B978-0-444-63234-0.50168-8
M3 - Article
AN - SCOPUS:84879016071
VL - 32
SP - 1003
EP - 1008
JO - Computer Aided Chemical Engineering
JF - Computer Aided Chemical Engineering
SN - 1570-7946
ER -