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

doi:10.1016/B978-0-323-88506-5.50247-3

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 congreso › Capítulo Libro › revisión 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 original	Inglés
Título de la publicación alojada	Computer Aided Chemical Engineering
Editorial	Elsevier B.V.
Páginas	1599-1604
Número de páginas	6
DOI	https://doi.org/10.1016/B978-0-323-88506-5.50247-3
Estado	Publicada - ene. 2021
Publicado de forma externa	Sí

Serie de la publicación

Nombre	Computer Aided Chemical Engineering
Volumen	50
ISSN (versión impresa)	1570-7946

Nota bibliográfica

Publisher Copyright:
© 2021 Elsevier B.V.

ODS de las Naciones Unidas

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10.1016/B978-0-323-88506-5.50247-3

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A Model-Centric Multivariate Analysis for Reducing H₂S Emissions in Wastewater Treatment Plants. / Angulo, Wilfredo; Gonzalez, Yris; Salas, Santiago D. et al.
Computer Aided Chemical Engineering. Elsevier B.V., 2021. p. 1599-1604 (Computer Aided Chemical Engineering; Vol. 50).

Producción científica: Capítulo del libro/informe/acta de congreso › Capítulo Libro › revisión exhaustiva

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