Durée :3 ans
Participants :Porteur de projet : Claire Valentin
Participants permanents du LAGEPP : Valérie Dos Santos Martins, Christian Jallut, Claire Valentin
Partenaires : Universitat Politechnica de Cataluna, Université Catholique de Louvain
29/02/2020 – 31/07/2023
- Project leader: Claire Valentin
- Instrument : Ambition International 2020 package from the Auvergne-Rhône-Alpes Region
- Total budget: 45 000 euros
In this C-StaRRE 4.0 project, we are interested in the urban Water Resources Recovery Stations (StaRRE) of the future by considering them as industries of material production such as clarified water for irrigation, nitrogen, phosphorus, potassium or energy production such as biogas or heat. The management of future wastewater treatment plants (WWTP) must take into account several stages, from the transport network to the treatment of wastewater and its recycling: the sewer network (WP1), the biological reactor and the clarifier (WP2) and their interactions (WP3).
The objective of this project is to develop a Decision Support System (DSS) based on coupled dynamic models of the biological reactor, the clarifier and the sewer network. This DSS will contribute to an integrated management of the numerous urban Water Resource Recovery Stations of the Auvergne-Rhône-Alpes region by taking into account the variations observed in the sewer network (precipitation, pollution). A set of indicators (technical, environmental, economic and energy) will be provided by this digital tool to allow the selection of control strategies in order to maximize the recovery of matter and energy as well as to minimize the discharge of suspended solids and pollutants in the clarified water (maximize the environmental quality of the effluents). Moreover, such a decision support system will allow the development of compact and efficient installations adapted to the limited space of our cities and it will allow the simulation of different scenarios to predict the evolution of the main signals of interest of the StaRRE.
Internship 2020-2021
WP1 Master2 Internship 2020-2021 (6 months): Etude d’un réseau d’eaux usées : Model PredictiveControl
Co-supervisors: Valérie Dos Santos Martins, Vicenç Puig
This 6-months internship was conducted at LAGEPP… “…” Within this project, the objective of the internship is to understand the previous research studies on the control of irrigation channels, sewer networks and treatment plants (water and sludge control),and to implement the partial (MPC) command for the optimal management of sewerage networks (CSO) by:
- Minimizing the control roughness $ (q ^ {u}), (q ^ {w}) $ i.e. having a flexible control
- Minimizing the volume of CSO accumulated in the environment
- Determining the quality and volume of the water entering the wastewater treatment plant (WWTP)
- Suggesting areas for improvement
To reqch these objectives, a bibliographical study is conducted. Then, the sewer network is modeled with the Storm Water Management Model (SWMM) simulator. We entered the real rainfall data to observe the behavior of the water and the quantity of mud present in the different spaces (the channels, the nodes, the subcatchments, and the tanks). Finally, we used Python to retrieve the data from SWMM, and linked the results to Matlab to apply the advanced MPC command.
WP2 Master2 Internship 2020-2021 (6 months): Exploitation of data from experiments for the modeling and simulation of a clarifier of wastewater treatment plants
Co-supervisors : Christian Jallut, Claire Valentin, Jean-Marc Choubert (INRAe)
The dynamic modeling of the secondary clarifier and the numerical simulation of several scenarios with the MATLAB software have been carried out. The different dynamic models proposed to represent the behavior of this two-phase liquid/solid system are composed of material balances, momentum balances, specific algebraic equations, constitutive equations and boundary conditions. The dynamic models were developed for a batch column settling and a continuous settling in a secondary clarifier of a WWTP from previous works of LAGEPP and a bibliographic study of the main references on the subject.
Different numerical schemes have been tested. The finite volume discretization is the most efficient to reproduce the phenomena observed in this hyperbolic system (evolution of the sludge blanket and solid particles concentrations in space and time).
An analysis of the measures already obtained by experiments on real stations and on pilot batch columns led to estimate the values of some sensitive parameters of the model (the values of the other parameters come from the literature) and to propose adequate scenarios to reproduce the behavior of the system during the experiments and to propose relevant scenarios to predict its behavior during extreme events (heavy rains, storms).
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