Continuing Education – Evening Lecture
Generating Wastewater Treatment Networks : An integrated approach comprising of contaminant properties, technology suitability, plant design and process optimization
Presenter: Kirti M. Yenkie, Ph.D.
Assistant Professor, Department of Chemical Engineering
Henry M. Rowan College of Engineering
Tuesday, June 19, 2018
5:15pm-5:30pm – Networking
5:30pm-6:30pm – Dinner & Presentation
6:30pm-6:45pm – Q&A Session & Closing Remarks
PDH Credit: 1 credit
242 Chapman Road
Newark, DE 19702
$35 Non-members & Guests
$15 KBR Employees
$15 WEBEX option
Dinner will be provided with registration for live attendance. Webex information will be provided one day in advance.
The rise in world population and industrialization in developing nations has tremendously increased the demand for water and has resulted in wastewater contaminated with several pollutants. Thus, wastewater treatment, reuse, and safe disposal have become crucial for sustainable existence. Systematic guidelines which propose treatment based on inlet contamination and final desired conditions for water reuse and safe disposal can aid in designing efficient wastewater treatment and management systems. The treatment methods must vary based on the properties of the wastewater stream entering a treatment plant, such as: number of contaminants, their amounts, toxicity, shape, size, etc. To this end, a superstructure comprising of all possible treatment methods and an optimization strategy that eliminates certain technology options based on cost, and specific physical constraints, will make the generation of wastewater treatment networks more efficient. The technologies involved in wastewater treatment such as sedimentation, filtration, membranes, disinfection, adsorption, and activated sludge are modeled using the material and energy balance, equipment design, costing as well as environmental impact, which is in the form of linear and non-linear mathematical models. After model generation, the individual models are combined into the superstructure to create an optimization model where the technology selection is represented by integer constraints. The overall wastewater treatment process is optimized for cost using mixed integer non-linear programming (MINLP) solvers in GAMS (General Algebraic Modeling Systems).
This talk will help in understanding the following topics:
- Technologies available for wastewater treatment
- Superstructure generation
- Mathematical formulation of simultaneous technology selection and cost minimization
- MINLP optimization problems and solution methods
- Capabilities of GAMS in solving large scale problems
Dr. Kirti Yenkie’s research focuses on leveraging Process Systems Engineering principles in the areas of Healthcare and Environment. She has prior research experiences from University of Wisconsin-Madison and University of Delaware. Her multidisciplinary work involves principles and methods from mathematical modeling, simulation, programming, optimization, control, uncertainty analysis and stochastic processes. Her PhD work on IVF (in-vitro fertilization) was awarded the Best Research on Women and Gender studies at UIC. Her work has been published in leading journals, including Computers and Chemical Engineering, IEEE transactions in Biomedical Engineering, Biotechnology Advances, Industrial and Engineering Chemistry Research, Biotechnology for Biofuels and presented in renowned technical conferences, including AIChE, INFORMS, BMES. She teaches Process Dynamics and Control, Process Optimization as well as advises students for Junior/Senior Engineering Research Clinic Projects at Rowan University. Dr. Kirti holds PhD degree in Bioengineering from University of Illinois (Chicago, IL), masters degree in Chemical Engineering from Indian Institute of Technology (Bombay, India) and bachelors degree in chemical engineering from Laxminarayan Institute of Technology (Nagpur, India).
Please register no later than Monday, June 18 at 5:00 PM. Cancellation requests received by the registration deadline will be fully refunded.
Should you have any further questions, please do not hesitate to reach out to Cynthia Tarun at email@example.com 832-341-4960 (Mobile).