Predictive control of activated sludge plants to supply nitrogen for optimal crop growth
| Autor: | Jérôme Harmand, Otacílio B.L. Neto, Michela Mulas, Francesco Corona, Farouk Aichouche, Antoine Haddon |
|---|---|
| Přispěvatelé: | Universidade Federal do Ceará = Federal University of Ceará (UFC), Laboratoire de Biotechnologie de l'Environnement [Narbonne] (LBE), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Aalto University |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Irrigation
010504 meteorology & atmospheric sciences [SDE.IE]Environmental Sciences/Environmental Engineering Biomass Agricultural engineering 010501 environmental sciences Optimal control 01 natural sciences 6. Clean water Model predictive control optimal control Activated sludge Wastewater Control and Systems Engineering activated sludge process Controller (irrigation) Environmental science crop growth Model predictive control Effluent crop growth 0105 earth and related environmental sciences |
| Zdroj: | IFAC-Papers IFAC-PapersOnLine, Elsevier, 2021, 54 (3), pp.200-205. ⟨10.1016/j.ifacol.2021.08.242⟩ |
| ISSN: | 2405-8963 |
| DOI: | 10.1016/j.ifacol.2021.08.242⟩ |
| Popis: | International audience; We report the preliminary results of a feasibility study in which we investigate the possibility to operate a common class of activated sludge plants to produce effluent wastewater of varying quality for crop irrigation. Firstly, a nitrogen reference trajectory is computed as solution to a higher-level optimal control problem that aims at maximizing plant biomass in a crop growth system. We then study how to control the treatment plant with a zero-offset predictive control strategy designed to operate the treatment process to supply nitrogen according to this optimal planning for crop growth. We show how an ad hoc tuning of the predictive controller allows to define alternative policies that favour the manipulation of different forms of nitrogen in the treatment plant. We show that the designed controllers are only partially capable to operate the treatment plant to meet the nitrogen demand, when subjected to typical municipal wastewater influent conditions. However, zero-offset can be achieved under constant influent conditions. We analyse the performance of the controller in terms of tracking accuracy and operational energy. |
| Databáze: | OpenAIRE |
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