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http://dx.doi.org/10.14249/eia.2020.29.6.403

Development of Optimal Chlorination Model and Parameter Studies  

Kim, Joonhyun (Division of Architecture, Civil and Environment Engineering, Kangwon National University)
Ahn, Sooyoung (Division of Architecture, Civil and Environment Engineering, Kangwon National University)
Park, Minwoo (Division of Architecture, Civil and Environment Engineering, Kangwon National University)
Publication Information
Journal of Environmental Impact Assessment / v.29, no.6, 2020 , pp. 403-413 More about this Journal
Abstract
A mathematical model comprised with eight simultaneous quasi-linear partial differential equations was suggested to provide optimal chlorination strategy. Upstream weighted finite element method was employed to construct multidimensional numerical code. The code was verified against measured concentrations in three type of reactors. Boundary conditions and reaction rate were calibrated for the sixteen cases of experimental results to regenerate the measured values. Eight reaction rate coefficients were estimated from the modeling result. The reaction rate coefficients were expressed in terms of pH and temperature. Automatic optimal algorithm was invented to estimate the reaction rate coefficients by minimizing the sum of squares of the numerical errors and combined with the model. In order to minimize the concentration of chlorine and pollutants at the final usage sites, a real-time predictive control system is imperative which can predict the water quality variables from the chlorine disinfection process at the water purification plant to the customer by means of a model and operate the disinfection process according to the influent water quality. This model can be used to build such a system in water treatment plants.
Keywords
Optimal chlorination model; experimental and modeling verification; automatic estimation of reaction rate; multidimensional finite element model; parameter study; predictive control system of chlorination model;
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  • Reference
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