TY - JOUR
T1 - Model predictive control of purple bacteria in raceway reactors
T2 - Handling microbial competition, disturbances, and performance
AU - Moradvandi, Ali
AU - De Schutter, Bart
AU - Abraham, Edo
AU - Lindeboom, Ralph E.F.
PY - 2024
Y1 - 2024
N2 - Purple Phototrophic Bacteria (PPB) are increasingly being applied in resource recovery from wastewater. Open raceway-pond reactors offer a more cost-effective option, but subject to biological and environmental perturbations. This study proposes a hierarchical control system based on Adaptive Generalized Model Predictive Control (AGMPC) for PPB raceway reactors. The AGMPC uses simple linear models updated adaptively to project the complex process dynamics and capture changes. The hierarchical approach uses the AGMPC controller to optimize PPB growth as the core of the system. The developed supervisory layer adjusts set-points for the core controller based on two operational scenarios: maximizing PPB concentration for quality, or increasing yield for quantity through effluent recycling. Lastly, due to competing PPB and non-PPB bacteria during start-up phase, an override strategy for this transition is investigated through simulation studies. The Purple Bacteria Model (PBM) simulates this process, and simulation results demonstrate the control system's effectiveness and robustness.
AB - Purple Phototrophic Bacteria (PPB) are increasingly being applied in resource recovery from wastewater. Open raceway-pond reactors offer a more cost-effective option, but subject to biological and environmental perturbations. This study proposes a hierarchical control system based on Adaptive Generalized Model Predictive Control (AGMPC) for PPB raceway reactors. The AGMPC uses simple linear models updated adaptively to project the complex process dynamics and capture changes. The hierarchical approach uses the AGMPC controller to optimize PPB growth as the core of the system. The developed supervisory layer adjusts set-points for the core controller based on two operational scenarios: maximizing PPB concentration for quality, or increasing yield for quantity through effluent recycling. Lastly, due to competing PPB and non-PPB bacteria during start-up phase, an override strategy for this transition is investigated through simulation studies. The Purple Bacteria Model (PBM) simulates this process, and simulation results demonstrate the control system's effectiveness and robustness.
KW - Hierarchical decision-making control
KW - Model predictive control
KW - Override control
KW - Purple bacteria
KW - Supervisory control
UR - http://www.scopus.com/inward/record.url?scp=85212345805&partnerID=8YFLogxK
U2 - 10.1016/j.compchemeng.2024.108981
DO - 10.1016/j.compchemeng.2024.108981
M3 - Article
AN - SCOPUS:85212345805
SN - 0098-1354
VL - 194
JO - Computers and Chemical Engineering
JF - Computers and Chemical Engineering
M1 - 108981
ER -