Fuzzy logic for plant-wide control of biological wastewater treatment process including greenhouse gas emissions

I Santín; M Barbu; C Pedret; R Vilanova

doi:10.1016/j.isatra.2018.04.006

Fuzzy logic for plant-wide control of biological wastewater treatment process including greenhouse gas emissions

ISA Trans. 2018 Jun:77:146-166. doi: 10.1016/j.isatra.2018.04.006. Epub 2018 Apr 25.

Authors

I Santín¹, M Barbu², C Pedret³, R Vilanova⁴

Affiliations

¹ Department of Telecommunications and Systems Engineering, School of Engineering, Universitat Autònoma de Barcelona, 08193, Bellaterra, Barcelona, Spain; Escola Universitria Salesiana de Sarrià, Passeig Sant Joan Bosco 74, 08017 Barcelona, Spain. Electronic address: Ignacio.Santin@uab.cat.
² Department of Telecommunications and Systems Engineering, School of Engineering, Universitat Autònoma de Barcelona, 08193, Bellaterra, Barcelona, Spain; Department of Automatic Control and Electrical Engineering, "Dunarea de Jos" University of Galati, 800008 Galati, Romania. Electronic address: Marian.Barbu@ugal.ro.
³ Department of Telecommunications and Systems Engineering, School of Engineering, Universitat Autònoma de Barcelona, 08193, Bellaterra, Barcelona, Spain. Electronic address: Carles.Pedret@uab.cat.
⁴ Department of Telecommunications and Systems Engineering, School of Engineering, Universitat Autònoma de Barcelona, 08193, Bellaterra, Barcelona, Spain. Electronic address: Ramon.Vilanova@uab.cat.

PMID: 29703628
DOI: 10.1016/j.isatra.2018.04.006

Abstract

The application of control strategies is increasingly used in wastewater treatment plants with the aim of improving effluent quality and reducing operating costs. Due to concerns about the progressive growth of greenhouse gas emissions (GHG), these are also currently being evaluated in wastewater treatment plants. The present article proposes a fuzzy controller for plant-wide control of the biological wastewater treatment process. Its design is based on 14 inputs and 6 outputs in order to reduce GHG emissions, nutrient concentration in the effluent and operational costs. The article explains and shows the effect of each one of the inputs and outputs of the fuzzy controller, as well as the relationship between them. Benchmark Simulation Model no 2 Gas is used for testing the proposed control strategy. The results of simulation results show that the fuzzy controller is able to reduce GHG emissions while improving, at the same time, the common criteria of effluent quality and operational costs.

Keywords: Benchmark simulation model no 2 gas; Fuzzy control; GHG emissions; Wastewater treatment plants.