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| Conception des stations d'épuration des eaux usées× | Modélisation de la production de biogaz× | |
|---|---|---|
| Domaine | Génie de l'environnement | Génie de l'environnement |
| Famille | Process / pipeline | Process / pipeline |
| Année d'origine≠ | 1900 | 1973 |
| Auteur d'origine≠ | Civil and sanitary engineers | Anaerobic microbiologists |
| Type≠ | integrated design and optimization pipeline | biokinetic simulation pipeline |
| Source fondatrice≠ | Metcalf & Eddy, Inc. (2013). Wastewater Engineering: Treatment and Resource Recovery (5th ed.). McGraw-Hill. ISBN: 978-0073401188 | Rittmann, B. E., & McCarty, P. L. (2001). Environmental Biotechnology: Principles and Applications (2nd ed.). McGraw-Hill. ISBN: 978-0073401188 |
| Alias | WWTP design, sewage treatment, water reclamation, municipal treatment | anaerobic digestion, biogas yield, methane production, AD modeling |
| Apparentées | 3 | 3 |
| Résumé≠ | Wastewater treatment design is the comprehensive planning and engineering of municipal and industrial treatment plants to remove contaminants (organic matter, nutrients, pathogens, trace organics) from domestic and industrial wastewater. Modern treatment plants integrate preliminary screening, primary settlement, secondary biological treatment (activated sludge, trickling filters, lagoons), advanced treatment (membrane filtration, oxidation, absorption), sludge processing, and biosolids management. The design balances regulatory compliance, treatment performance, energy consumption, land use, and capital and operational cost. | Biogas production modeling is a quantitative method to predict methane and carbon dioxide generation from anaerobic digestion of organic residues (wastewater sludge, food waste, agricultural manure, slaughterhouse waste). Developed from microbial kinetics and thermodynamics, these models account for substrate composition, microbial consortia (acetogens, methanogens), process conditions (temperature, pH, retention time), and inhibition factors (ammonia, volatile fatty acids). Biogas modeling supports reactor design, energy recovery planning, and operational optimization. |
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