Analysis and Simulation of Waste Water Treatment Plant by Using GPS-X Software

Abstract

Abstract: Kerala is rich in water resources, which helps to achieve the state to meet most of the water requirements. Due to increased population, most of the water resources are getting depleted. Among the types of water generated according to source , there is a big gap in the treatment of water. The proposed work present is planning to do a review about the modeling of water treatment plants with the help of GPS – X simulation softwares available in the industry . Also it focuses on the role of simulation tools for a better understanding of the treatment process and major trends emerging in the field of water treatment process .water supply and treatment often received more priority than waste water collection and treatment. However, water treatment deserves greater emphasis and should receive greater attention. The purpose of this project is to study the efficiency of the waste water Treatment Plant at karanthoor markaz, calicut This is done by monitoring the main physical, chemical water quality parameters, and comparing them with standards for effluents discharged into surface water. And simulation with the GPS-X software is used and results shows the performance of water treatment plant. In addition, with the software GPS-X, we are trying to improving capacity, operating efficiency and effluent quality by properly optimizing the existing facility can be obtained. This program has a clear-cut graphical interface and uses a specialized translator that converts the graphical process into material balance equations, based on dynamic models. These models allow, besides the kinetic descripton of the treatment process carried out at the water treatment plant, to simulate new scenarios towards the study of critical parameters for the process as well as optimization and control of the water treatment plant. For the modelling of the process it was necessary to collect historical data related to the water treatment plant’s performance over the last 3 years. This data was used as input values for the influent characterisation and as output values to achieve the treated effluent characterisation. Since the first simulation did not lead to the desired output results, it was necessary to proceed to the model calibration, by means of a more detailed study concerning the nutrient and organic fractions of the influent.