Chor-Alkali Electrolysis Process Dynamic Modeling, Validation, and Prediction for Vestolit Germany

Scope

The main objective of this project was data validation and improved Process control for chlorine production. To perform this project, the following activities were conducted:

• Engineering data collection that includes operation data, design reports, and previous/ current anode/cathode design.

• Database, drawings (PFDs and P&IDs), etc.

• After a gathering of documents, review of collected data like design & operating data, and process control reports, etc.,

• Research and development for mass and energy balance, rate equations, load calculation, design equations and constants, etc.

• Updating the Data Sheet.

• Making Simulation on Simulink/Matlab

• Performing model validation, Data validation, and evaluation of model performance.

• Implemented Artificial Neural Network to predict production and efficiency of the process.

• Development of an Implementation Plan for the model to optimize process controllers.

• Preparation of final Comprehensive Report

Process

A Comprehensive approach is set forth to ensure all essential components integral to the project scope are included. 

Outcome

• Reduction in byproduct formation

• The improved overall efficiency of the process

• Data validation was done successfully

• Prediction of chlorine production and process controller performance

• Suggested better options for process control application and operation.

This modeling offered a clear picture of the process control and presented a better plan to improve process smoothness, control, energy optimization, and prediction based on the company’s needs 

Deliverables:

 Enginerify successfully submitted the following deliverables

1. MATLAB/Simulink simulation and code files

2. Datasheets

3. Controller validation results and assessment

4. Artificial neural network code

5. Implementation guide

6. Detailed final report