2016
DOI: 10.2175/106143016x14696400494939
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Modeling, Instrumentation, Automation, and Optimization of Water Resource Recovery Facilities

Abstract: A review of the literature published in 2015 on topics relating to water resource recovery facilities (WRRF) in the areas of modeling, automation, measurement and sensors and optimization of wastewater treatment (or water resource reclamation) is presented.

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Cited by 6 publications
(3 citation statements)
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“…El problema de calibración ha recibido una atención notable (ver [1], [2], [3], [20], [22], [24]). En [1], [2], [3] el problema de optimización fue resuelto numéricamente por un método de gradiente.…”
Section: Introductionunclassified
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“…El problema de calibración ha recibido una atención notable (ver [1], [2], [3], [20], [22], [24]). En [1], [2], [3] el problema de optimización fue resuelto numéricamente por un método de gradiente.…”
Section: Introductionunclassified
“…En [1], [2], [3] el problema de optimización fue resuelto numéricamente por un método de gradiente. En cambio, en [20], [22], [24] se aplican otras técnicas para la solución del problema inverso. La rigurosidad de la aproximación por el método de gradiente no ha sido tratada, porque se sabe que las soluciones entrópicas de las leyes de conservación escalares son funciones discontinuas, incluso bajo condiciones de alta regularidad en la condición inicial y la función de flujo.…”
Section: Introductionunclassified
“…Qi et al (2017) evaluated a sequential process of dark anaerobic fermentation followed by microalgae cultivation for treating high-strength fermentable wastewater. The heat conversion efficiency for the wastewater reached 41.2%, while organic metabolites and NH4 + -N were removed at 100% and 98.3%, respectively.ImplementationSweeney and Kabouris (2017) reviewed literature on topics related to water resource recovery facilities that focused on modeling, automation, measurement, sensors, and optimization of wastewater treatment/water resource reclamation. They noticed that plant-wide scale modeling and the integration of multiple models were increasing, and applications involving mechanistic models and neural networks had become more sophisticated.Modeling.A water evaluation and planning (WEAP) model was applied in a strategic environmental assessment (SEA) of the impact of planned activities using local water resources in arid/semiarid regions in China(Gao et al, 2017).…”
mentioning
confidence: 99%