Wastewater Treatment Plant Design & Optimization

Posted in Engineering - Oil & Gas

Wastewater Treatment Plant Design & Optimization

Course Objectives:

  1. Understand the principles and processes of wastewater treatment.
  2. Design efficient wastewater treatment plants (WWTPs) based on flow characteristics and treatment goals.
  3. Optimize treatment processes for energy efficiency, cost-effectiveness, and regulatory compliance.
  4. Implement advanced treatment technologies, including membrane bioreactors (MBR) and anaerobic digestion.
  5. Use digital tools, automation, and data analytics for WWTP performance monitoring and optimization.

Course Outline (5 Days):

Day 1: Fundamentals of Wastewater Treatment & Process Selection

  • Introduction to wastewater characteristics and treatment objectives.
  • Primary, secondary, and tertiary treatment processes.
  • Design considerations: flow rate, load variations, and treatment efficiency.
  • Physical treatment methods: screening, grit removal, and sedimentation.
  • Regulations and environmental compliance for wastewater treatment.

Day 2: Biological & Chemical Treatment Processes

  • Biological treatment principles: aerobic vs. anaerobic processes.
  • Activated sludge process: design, operation, and control.
  • Trickling filters, sequencing batch reactors (SBR), and biofilm systems.
  • Chemical treatment methods: coagulation, flocculation, and disinfection.
  • Sludge handling, treatment, and disposal strategies.

Day 3: Advanced Treatment Technologies & Energy Efficiency

  • Membrane bioreactors (MBR) for high-quality effluent.
  • Reverse osmosis and nanofiltration for water reuse applications.
  • Nutrient removal (nitrogen & phosphorus) and biological nutrient removal (BNR) systems.
  • Anaerobic digestion and biogas recovery for sustainable energy production.
  • Optimization techniques for minimizing energy consumption in WWTPs.

Day 4: Digitalization, Automation & Smart Wastewater Management

  • Supervisory Control and Data Acquisition (SCADA) systems for WWTP monitoring.
  • Internet of Things (IoT) applications in wastewater treatment.
  • AI and machine learning for process optimization.
  • Predictive maintenance and real-time data analysis.
  • Case applications: Implementing digital twins for WWTP efficiency.

Day 5: Case Study – Design & Optimization of a Modern Wastewater Treatment Plant

  • Scenario: Upgrading an aging WWTP to meet stricter effluent standards.
  • Data Analysis: Evaluating influent characteristics and load variations.
  • Process Selection: Choosing the best treatment train for optimal performance.
  • Simulation & Modeling: Running software-based WWTP design simulations.
  • Discussion: Best practices for sustainable, cost-effective WWTP operations.