Dr. B. Chandrasekhar

Title: Optimal Design of Multi-stage Flash (MSF), Reverse Osmosis (RO) and hybrid MSF-RO Processes using Differential Evolution Algorithm
 
Thesis Supervisors: Prof. R. Uppaluri and Dr. Amit Kumar
 
Abstract:
 
The Ph.D. thesis addressed the following topics:
  1. Non-linear programming (NLP) based optimization of MSF-BR, MSF-M and MSF-OT sea-water desalination process configurations using DE algorithm.
  2. Comparative assessment of differential evolution (DE), simulated annealing (SA), genetic algorithm (GA), sequential quadratic programming (SQP), multi-start SQP (MS-SQP), DE-SQP and GA-SQP methods for the optimization of MSF processes.
  3. NLP optimization of RO process configurations with retentate and permeate reprocessing options using DE algorithm and comparative assessment of DE, SA, GA, SQP, MS-SQP, DE-SQP and GA-SQP optimization methods for the optimization of RO process with retentate and permeate recycle.
  4. NLP optimization of hybrid MSF-RO process configurations (MSF-BR and RO processes that gave lowest freshwater production cost) using DE algorithm and comparative assessment of DE, SA, GA, SQP, MS-SQP, DE-SQP and GA-SQP optimization methods for hybrid MSF-RO process optimization.
  5. Identification of the most competent MSF and RO processes to generate potential hybrid MSF-RO process configurations. Optimization of alternate hybrid MSF-RO processes using various optimization methods.
  6. Ranking of alternate MSF, RO and hybrid MSF-RO processes based on optimal water production cost.
  7. Sensitivity studies of alternate MSF, RO and hybrid MSF-RO process configurations.