Control of primary disinfection in a drinking water treatment plant based on a fuzzy inference system

Drinking water treatment plants (DWTPs) have to be efficiently managed to produce safe water at all times, independently from variations of influent water quality. Artificial Intelligence techniques like fuzzy inference systems (FIS) can help in consolidating process knowledge accumulated through years of experience and improve the consistency and resiliency of decision-making in these facilities. The objective of this study was to develop an advanced control system for choosing the combined dose of sodium hypochlorite and chlorine dioxide at the primary disinfection step of a full-scale DWTP. To accomplish this, two FISs consisting of a feed-forward and feed-back control elements were developed. The models were integrated in an environmental decision support system (EDSS) that evaluates the disinfection by-products (DBPs) formation risk and proposes actions which can be verified and applied by treatment managers. Implementation of the EDSS at a full-scale DWTP of Barcelona was positively validated 85.5 % of the times, maintaining acceptable DBPs concentrations at the effluent. The presented methodology can be used at similar surface water DWTPs for developing control strategies to manage DBPs formation.

Informació addicional

  • Any: 2021
  • Autors: Godo-Pla L., Rodríguez J.J., Suquet J., Emiliano P., Valero F., Poch M., Monclús H.
  • Referència: Process Safety and Environmental Protection, Volume 145, Pages 63 - 70, January 2021

Cercar articles

Nom/Títol

Any

Autors

Laboratori d’Enginyeria Química i Ambiental

Institut de Medi Ambient
Universitat de Girona
Campus Montilivi
17003 Girona

Parc Científic i Tecnològic de la UdG
Edifici Jaume Casademont, Porta B
Pic de Peguera, 15
17003 Girona
Tel. +34 972 41 98 59
info@lequia.udg.cat

 

Cercar

Xarxes socials

Segueix-nos a ...

Facebook Twitter Youtube Linkedin

NOTE! This site uses cookies and similar technologies. If you not change browser settings, you agree to it. Cookie Policy