Meet Inspiring Speakers and Experts at our 3000+ Global Conference Series Events with over 1000+ Conferences, 1000+ Symposiums
and 1000+ Workshops on Medical, Pharma, Engineering, Science, Technology and Business.

Explore and learn more about Conference Series : World's leading Event Organizer

Back

Feridun Demir

Feridun Demir

OsmaniyeKorkut Ata University, Turkey

Title: Numerical prediction of the reaction rate constant of chlorine disinfection process at a wastewater treatment plant. Experimental model validation and simulation studies

Biography

Biography: Feridun Demir

Abstract

Chlorine disinfection of wastewater was investigated to estimate the reaction rate constant of the disinfection process at a wastewater treatment plant. The kinetic studies of free chlorine with ammonia show the experimental conditions for the determination of the reaction rate constant. Chlorine reactions with wastewater occurred in the contact basin, and they could be characterized by partial differential equations. In addition to the difficulties of the solution of these partial differential equations, the determination of the reaction rate constant of chlorine disinfection is also difficult because of complex reactions with ammonia and the dynamic behavior of wastewater. These vary, depending on the influent ammonia concentration, chlorine dosage, and wastewater content and flow rate. A method of characteristics and an odometric transformation technique were applied to these equations to more easily obtain a solution. The method of characteristics is a mathematical-solution technique that transforms a partial differential equation into an ordinary differential equation. Because the disinfection reaction also has a large and variable time delay, the odometric transformation technique was introduced to eliminate this obstacle. The application of these mathematical solution and transformation techniques converted the dynamics of the system into a constant time-delay model and a set of ordinary differential equations that were feasible for the numerical integration.To validate the model and determine the reaction rate constant by simulation, the resulting equations were coded in Matlab and solved numerically. The validation was performed by the comparison of the simulated response of the developed model with the experimental data using Matlab software packages. The validation criterion was the obtainment of the highest fit (%) for the simulated result. The simulation results revealed that the fit (%) was the highest when the reaction rate constant was 0.0074 h-1.

Speaker Presentations

Speaker PDFs

Speaker PPTs Click Here