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

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

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.

Original language	English
Title of host publication	Computer Aided Chemical Engineering
Publisher	Elsevier B.V.
Pages	1599-1604
Number of pages	6
DOIs	https://doi.org/10.1016/B978-0-323-88506-5.50247-3
State	Published - Jan 2021
Externally published	Yes

Publication series

Name	Computer Aided Chemical Engineering
Volume	50
ISSN (Print)	1570-7946

Bibliographical note

Publisher Copyright:
© 2021 Elsevier B.V.

Keywords

hydrogen sulfide
mathematical modelling
parameter sensitivity

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

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

Cite this

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AU - Salas, Santiago D.

AU - De Cecchis, Dany

AU - Espinoza, Alexander

PY - 2021/1

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KW - hydrogen sulfide

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KW - parameter sensitivity

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