A Model-Centric Multivariate Analysis for Reducing H2S Emissions in Wastewater Treatment Plants

Wilfredo Angulo, Yris Gonzalez, Santiago D. Salas, Dany De Cecchis, Alexander Espinoza

Producción científica: Capítulo del libro/informe/acta de congresoCapítulorevisión exhaustiva

Resumen

Validated mathematical models were studied applying a multivariate analysis of relevant outputs in a wastewater treatment plant. Monte-Carlo based simulations permit to obtain enough responses of the outputs when varying relevant inputs. Uncertainty is incorporated into the flow rates of wastewater and the wind velocity. Results show the strengths and limitations of the models as well as the impact towards the reduction of H2S. The dynamic variability is captured using a covariance analysis at different time intervals.

Idioma originalInglés
Título de la publicación alojadaComputer Aided Chemical Engineering
EditorialElsevier B.V.
Páginas1599-1604
Número de páginas6
DOI
EstadoPublicada - ene. 2021
Publicado de forma externa

Serie de la publicación

NombreComputer Aided Chemical Engineering
Volumen50
ISSN (versión impresa)1570-7946

Huella

Profundice en los temas de investigación de 'A Model-Centric Multivariate Analysis for Reducing H2S Emissions in Wastewater Treatment Plants'. En conjunto forman una huella única.

Citar esto