Simulation, Optimization and Control of Submerged Membrane Bioreactors using Advanced Approaches

par Kashif Nadeem

Projet de thèse en Genie des procedes

Sous la direction de Claire Albasi.

Thèses en préparation à Toulouse, INPT , dans le cadre de Mécanique, Energétique, Génie civil, Procédés , en partenariat avec Laboratoire de Génie Chimique (laboratoire) depuis le 06-12-2018 .

  • Résumé

    Membrane Bioreactor (MBR), a mature and well-established technology, is being extensively adopted in wastewater treatment; for municipal, commercial and industrial applications (Krzeminski et al. 2017) due to many of its advantages including less space requirements, robustness, superior and constant permeate quality (Judd, 2011). Despite these leading edges, MBR technology is still struggling at many fronts among which limitation of mass transfer and loss of permeability due to fouling are prominent. These impediments result in higher operational costs due to i) energy consumption in aeration and pumping, ii) chemicals consumption in cleaning the membrane to counter the fouling problem, iii) need for skilled technical staff to maintain the operations, and costs for membrane replacement. These extra costs are hampering the MBR for its wider applications and penetration to costs sensitive markets. The cost of aeration is a major contributor in OPEX of MBR (35-50%) and energy consumption varies from 0.6 and 2.3 kWh/m and is still higher than conventional activated sludge process despite several operational and design innovations (Monclus et al. 2015, Krzeminski et al. 2017, Xiao et al. 2019). Under the framework of the MOCOPEE in collaboration with SIAAP and IRSTEA, this study aims to develop a control system for a full-scale MBR plant. The objectives are i) to adapt an integrated model, capable to simulate the biological and filtration behavior to a full-scale submerged membrane bioreactor (sMBR) plant ii) to optimize the functioning of the plant through improved model, iii) to develop advanced controls suitable for this integrated biological process. The plant to be studied is located in Seine Aval, Paris and is receiving approximately 0.2-0.4 million m3 of domestic wastewater per day, equipped with the membrane Zeeweed D-500D ZENON. In the first step, an already developed hybrid dynamic mathematical model (Zarragaoitia et al, 2008) combining features of biological model (modified Activated Sludge Model) and filtration model (Resistance in Series) for SMBR will be used. The model will be improved by considering the additional removal of NH4+, NO2- and PO43 and taking into account the backwashing and chemical cleaning of the membrane. This improved model will be calibrated and re-validated by the reconciled experimental data of the full-scale wastewater treatment plant. Then dynamic simulations and cost-optimization of the plant functioning will be performed, especially considering the equilibrium between the necessity and the cost of the fouling mitigation techniques (coarse bubble aeration, chemical cleaning…) as the function of the variation of the inlet load. Further investigations will consider the influence of the fine bubble aeration on the depollution performance and on the fouling and its mitigation and the optimization of this operation parameter. Lastly, the model will be further modified with an objective of development of an advanced control system for online process regulation. The control system would have to integrate the specific features of this system as the discrete and continuous operation parameters, the non-linear functioning with phenomena with high differences in the characteristic times. Some online tests will be carried out.

  • Titre traduit

    Simulation, Optimization and Control of Submerged Membrane Bioreactors using Advanced Approaches

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