title: Controlling chemical dosing for sulfide mitigation in sewer networks using a hybrid automata control strategy.
abstract: Chemicals such as magnesium hydroxide (Mg(OH)2) and iron salts are widely used to control sulfide-induced corrosion in sewer networks composed of interconnected sewer pipe lines and pumping stations. Chemical dosing control is usually non-automatic and based on experience, thus often resulting in sewage reaching the discharge point receiving inadequate or even no chemical dosing. Moreover, intermittent operation of pumping stations makes traditional control theory inadequate. A hybrid automata-based (HA-based) control method is proposed in this paper to coordinate sewage pumping station operations by considering their states, thereby ensuring suitable chemical concentrations in the network discharge. The performance of the proposed control method was validated through a simulation study of a real sewer network using real sewage flow data. The physical, chemical and biological processes were simulated using the well-established SeweX model. The results suggested that the HA-based control strategy significantly improved chemical dosing control performance and sulfide mitigation in sewer networks, compared to the current common practice.
authors.affiliation: Advanced Water Management Centre, The University of Queensland, St. Lucia, Brisbane QLD 4072, Australia E-mail: z.yuan@awmc.uq.edu.au; School of Automation Science & Engineering, South China University of Technology, Guangzhou, 510640, China.
authors.forename: Yiqi
authors.initials: Y
authors.lastname: Liu
authors.affiliation: Advanced Water Management Centre, The University of Queensland, St. Lucia, Brisbane QLD 4072, Australia E-mail: z.yuan@awmc.uq.edu.au.
authors.forename: Ramon
authors.initials: R
authors.lastname: Ganigué
authors.affiliation: Advanced Water Management Centre, The University of Queensland, St. Lucia, Brisbane QLD 4072, Australia E-mail: z.yuan@awmc.uq.edu.au.
authors.forename: Keshab
authors.initials: K
authors.lastname: Sharma
authors.affiliation: Advanced Water Management Centre, The University of Queensland, St. Lucia, Brisbane QLD 4072, Australia E-mail: z.yuan@awmc.uq.edu.au.
authors.forename: Zhiguo
authors.initials: Z
authors.lastname: Yuan
mesh_terms: D001331:Automation; D003198:Computer Simulation; D008276:Magnesium Hydroxide / Q000737:chemistry*; D008962:Models, Theoretical; D009862:Online Systems; D012722:Sewage / Q000737:chemistry*; D013440:Sulfides / Q000302:isolation & purification*; D018508:Water Purification / Q000295:instrumentation / Q000379:methods
chemical_list: D012722:Sewage; D013440:Sulfides; D008276:Magnesium Hydroxide