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Clean Water CFD Simulation Training Course by ANSYS Fluent

Master Advanced Multi-Phase Flow, Filtration, and Thermal Systems for Water Treatment & Clean Energy Applications

Created byMR CFD

Last updated 8/2025

English

What you'll learn

Master Multi-Phase Flow Simulation for Water Treatment Systems
Design and Optimize Advanced Water Purification Technologies
Apply Conjugate Heat Transfer (CHT) Analysis for Thermal Water Systems
Implement Professional CFD Workflows for Environmental Engineering Projects

Course content

5 sections • 5 lectures • 2h 12m total length

Distillation Column Tray CFD Simulation, Two Phase18:50
# Two-Phase Flow Modeling in Distillation Column Trays - ANSYS Fluent CFD Training

This comprehensive CFD simulation project demonstrates the modeling of air-water two-phase flow within distillation column tray systems using ANSYS Fluent. Distillation towers utilize tray configurations to achieve efficient material separation through controlled gas-liquid interactions.

## Process Overview

In industrial distillation operations, hot vapor streams rise through perforated openings in the lower section while liquid streams descend from above through dedicated inlets. The interaction between these counter-current flows occurs at specially designed trays, creating optimal conditions for mass and heat exchange.

During this gas-liquid contact, the descending liquid temperature increases, promoting vaporization of lighter components with lower boiling points. Simultaneously, the ascending vapor cools, causing condensation of heavier components. This process enriches the vapor phase with volatile compounds while concentrating heavier molecules in the liquid phase, effectively increasing the liquid's boiling point.

## Simulation Scope

Enhanced tray contact between liquid and gas phases directly improves separation efficiency. This CFD analysis focuses specifically on fluid dynamics behavior, examining the interaction patterns between liquid and gas phases at the tray interface. **Note: This simulation concentrates on flow dynamics only and does not include heat transfer or phase change modeling.**

The simulation employs the Volume of Fluid (VOF) multiphase model to track air-water interface behavior throughout the system.

## System Configuration

**Gas Phase Flow:**
- Pure air injection through five circular perforations (Ø 0.02 cm) at the chamber base
- Upward velocity: 23.35 m/s
- Exit through five corresponding openings at the chamber top

**Liquid Phase Flow:**
- Pure water injection via side inlet at 4 kg/s mass flow rate
- Downward flow through central tray perforations
- Exit through bottom drainage outlet

**Tray Design:**
- Central positioning within tower chamber
- Five circular openings for liquid passage
- 0.61 m spacing from inlet/outlet plates

## Geometry and Computational Mesh

The 3D model was developed in ANSYS Design Modeler, featuring a complete distillation tray chamber. To optimize computational efficiency, a symmetrical half-model approach was implemented.

**Geometric Specifications:**
- Upper chamber: Semi-circular cross-section (radius: 0.6065 m, height: 1.22 m)
- Lower chamber: Height of 0.61 m
- Tray positioning: Centered with 0.61 m clearance above and below

The computational mesh was generated using ANSYS Meshing with an unstructured grid containing 866,590 elements, ensuring accurate capture of complex flow patterns around tray perforations.

## CFD Model Setup

**Solver Configuration:**
- Pressure-based steady-state solution
- Gravitational acceleration: -9.81 m/s² (z-direction)

**Turbulence Modeling:**
- RNG k-epsilon model with standard wall functions

**Multiphase Modeling:**
- VOF formulation with implicit interface tracking
- Sharp interface modeling for air-water separation
- Primary phase: Air | Secondary phase: Water

**Boundary Conditions:**
- Gas inlet: Velocity boundary (23.35 m/s, 100% air fraction)
- Liquid inlet: Mass flow boundary (4 kg/s water, 0% air)
- Both outlets: Pressure boundaries (0 Pa gauge pressure)
- All surfaces: No-slip wall conditions

**Numerical Methods:**
- SIMPLE pressure-velocity coupling
- PRESTO pressure discretization
- Second-order upwind momentum scheme
- Modified HRIC volume fraction scheme
- First-order upwind turbulence parameters

## Results and Visualization

The simulation generates comprehensive flow field data including:
- 2D and 3D pressure and velocity contour maps
- Phase volume fraction distributions for both air and water
- Velocity vector fields showing flow interaction patterns
- Cross-sectional analysis at 0.2 m from the centerplane

This detailed CFD analysis provides valuable insights into tray hydraulics, enabling optimization of distillation column performance for industrial water treatment and separation applications.

Carbonate Cake Filtration ANSYS Fluent Tutorial1:02:21
# Carbonate Cake Filtration CFD Simulation - ANSYS Fluent Water Treatment Training

This advanced CFD project demonstrates the simulation of carbonate particle filtration from water using cake filtration mechanisms in ANSYS Fluent. This comprehensive study covers solid-liquid separation processes essential for water treatment and purification applications.

## Filtration Process Fundamentals

Filtration represents a critical physical separation technique that isolates solid particles from liquid mixtures using selective filter media. The process relies on porous structures that permit liquid passage while retaining solid contaminants. Particles unable to penetrate the filter medium, termed "oversize particles," accumulate on the filter surface.

As filtration progresses, retained particles form a filter cake layer atop the medium, potentially creating additional resistance and reducing filtration efficiency. This cake formation phenomenon significantly impacts system performance and requires careful modeling for accurate process design.

## Project Overview

This simulation focuses on carbonate particle removal from contaminated water streams using carbon-based filter media. The study examines both filtration efficiency and thermal effects, as the filtration system simultaneously functions as a heat exchanger, reducing feed water temperature during treatment.

## Computational Model Development

**Geometry and Mesh:**
- 2D planar domain designed in ANSYS Design Modeler
- Structured mesh generation using ANSYS Meshing
- Total elements: 40,150 for optimal computational efficiency
- Domain configuration optimized for cake layer formation analysis

## Advanced Multiphase Modeling Approach

**Eulerian Multiphase Framework:**
- Primary phase: Water (continuous)
- Secondary phase: Carbonate particles (dispersed solid)
- Tertiary phase: Carbon filter medium (stationary solid)

**Granular Flow Modeling:**
- Granular model with packed bed sub-model activation
- Enables accurate cake layer formation prediction
- Granular temperature calculations via kinetic theory
- Particle-particle interaction modeling

**Inter-phase Force Modeling:**
- Drag forces between water-carbonate phases
- Lift forces for particle trajectory prediction
- Virtual mass effects for acceleration-dependent interactions
- Particle-wall restitution coefficient: 0.9 (carbonate-carbon interactions)

## Heat Transfer Integration

**Thermal Modeling Approach:**
- Energy equation activation for temperature field calculation
- Ranz-Marshall correlation for inter-phase heat transfer
- Carbon filter acts as heat exchanger medium
- Temperature reduction of feed water during filtration

**Heat Transfer Mechanisms:**
- Convective heat exchange between water and carbon filter
- Thermal equilibrium calculations for each phase
- Temperature-dependent material properties

## Turbulence and Solution Methods

**Turbulence Modeling:**
- Standard k-epsilon model for Reynolds-averaged flow equations
- Wall function treatment for near-wall turbulent effects

**Solution Strategy:**
- Transient simulation approach for cake buildup dynamics
- Time-dependent analysis of filtration performance
- Convergence monitoring for multiphase interactions

## Key Simulation Results

**Filtration Performance:**
- Quantitative carbonate concentration reduction through carbon filter
- Spatial distribution of contaminant removal efficiency
- Filter media effectiveness evaluation

**Thermal Performance:**
- Feed water temperature reduction during filtration process
- Heat transfer coefficient calculations
- Thermal equilibrium between phases

**Cake Formation Analysis:**
- Dramatic carbonate volume fraction increase upstream of filter
- Clear evidence of cake layer development
- Filtration resistance buildup over time
- Particle accumulation patterns on filter surface

## Engineering Applications

This CFD simulation provides critical insights for:
- Water treatment plant design optimization
- Filter sizing and selection criteria
- Cake filtration system performance prediction
- Heat exchanger integration in filtration processes
- Industrial water purification system development

The comprehensive modeling approach demonstrates advanced multiphase CFD techniques essential for environmental engineering applications, making this project invaluable for water treatment professionals and CFD engineers specializing in separation processes.

Geothermal Reservoir CFD Simulation, ANSYS Fluent Tutorial19:46
# Geothermal Reservoir CFD Simulation - Downhole Heat Exchanger (DHE) ANSYS Fluent Training

This comprehensive CFD project simulates geothermal energy extraction using a downhole heat exchanger (DHE) system with U-tube configuration in ANSYS Fluent. The study demonstrates advanced heat transfer modeling for renewable energy applications in geothermal reservoir systems.

## Geothermal Energy Extraction Fundamentals

Geothermal energy systems utilize subsurface heat through various extraction methods. Downhole heat exchangers represent an innovative approach that circulates working fluid through closed-loop systems installed within geothermal wells. Unlike traditional geothermal systems requiring fluid extraction from reservoirs, DHE systems operate as closed circuits, eliminating groundwater depletion concerns while maintaining continuous heat extraction.

The U-tube configuration maximizes heat exchange surface area within a single wellbore, creating efficient thermal contact between the circulating fluid and surrounding geothermal formations.

## Project Scope and Scaling

This simulation represents a scaled geothermal reservoir model based on actual field conditions. While real geothermal systems operate at depths exceeding 200 meters underground, this study employs a proportionally scaled model for computational efficiency:

**Scale Reduction:**
- Ground zone depth: 6 meters (scaled from typical 200m+ depths)
- U-tube length: 3.2 meters (proportionally scaled)
- Maintains realistic thermal and flow physics

## System Configuration

**U-tube Heat Exchanger Design:**
- Inlet/outlet diameter: 0.0875 meters
- Closed-loop circulation system
- Working fluid: Water with temperature-dependent properties

**Borehole Specifications:**
- Diameter: 0.35 meters
- Height: 6 meters
- Cylindrical configuration housing the U-tube system

**Geothermal Reservoir Domain:**
- Cylindrical ground zone: 3 meters diameter
- Total height: 6 meters
- Represents surrounding geological formations

## Advanced Thermal Modeling

**Temperature Distribution:**
- Linear temperature gradient from surface to depth
- Realistic geothermal temperature profile simulation
- Named Expression implementation for temperature-dependent properties

**Heat Transfer Mechanisms:**
- Conductive heat transfer through geological formations
- Natural convection within borehole fluid
- Forced convection within U-tube circulation
- Conjugate heat transfer between solid and fluid domains

## Computational Model Development

**Geometry and Mesh:**
- 3D model created in ANSYS Design Modeler
- Polyhedral mesh generation using ANSYS Meshing
- Total cells: 1,749,097 for high-resolution thermal analysis
- Optimized mesh density for accurate heat transfer prediction

**Material Properties:**
- Temperature-dependent water thermal conductivity
- Polynomial-based heat capacity correlations
- Realistic geological material properties
- Density variation effects for natural convection

## CFD Modeling Approach

**Turbulence Modeling:**
- Realizable k-epsilon model for accurate turbulent heat transfer
- Standard wall function treatment for near-wall regions
- Enhanced turbulence prediction in complex geometries

**Natural Convection Effects:**
- Gravity activation for buoyancy-driven flows
- Density-temperature coupling for natural circulation
- Boussinesq approximation for thermal buoyancy

**Solution Strategy:**
- Steady-state simulation approach
- Coupled pressure-velocity-temperature solution
- Convergence monitoring for thermal equilibrium

## Key Physical Phenomena

**Natural Convection Circulation:**
- Heated water near borehole walls rises due to reduced density
- Cooler water descends, creating circulation patterns
- Vortex formation at borehole bottom enhances mixing
- Continuous heat transfer loop establishment

**Heat Extraction Process:**
- Geothermal heat conduction from surrounding rock formations
- Convective heat transfer to borehole fluid
- Heat exchange with U-tube working fluid
- Temperature increase in circulating water

## Simulation Results and Performance

**Thermal Performance:**
- U-tube outlet temperature: 305.47 K (32.3°C)
- Significant temperature rise demonstrating effective heat extraction
- Quantified heat transfer rates and thermal efficiency

**Flow Dynamics:**
- Natural convection velocity patterns within borehole
- Turbulent mixing enhancement at borehole bottom
- Circulation cell formation promoting heat transfer

**System Optimization Insights:**
- Temperature and pressure distribution analysis
- Velocity vector visualization showing flow patterns
- Heat transfer coefficient distributions
- Thermal boundary layer development

## Engineering Applications

This CFD simulation provides valuable insights for:
- Geothermal system design and optimization
- DHE performance prediction and sizing
- Renewable energy system development
- Subsurface heat exchanger applications
- Geothermal well productivity assessment

The comprehensive modeling approach demonstrates advanced conjugate heat transfer techniques essential for renewable energy applications, making this project invaluable for geothermal engineers and CFD professionals specializing in sustainable energy systems.

Flat Plate Solar Collector, Conjugated Heat Transfer (CHT)16:41
# Flat Plate Solar Collector Conjugate Heat Transfer (CHT) - ANSYS Fluent CFD Training

This advanced CFD project demonstrates comprehensive conjugate heat transfer modeling of flat plate solar collectors (FPSC) using ANSYS Fluent. The simulation integrates solar radiation, fluid flow, and heat conduction to analyze thermal performance in realistic operating conditions.

## Solar Thermal Energy Fundamentals

Flat plate solar collectors represent one of the most widely implemented solar thermal technologies for converting solar irradiation into usable thermal energy. These systems consist of an absorber plate, fluid circulation channels, transparent cover glazing, and thermal insulation, working together to capture and transfer solar energy to a working fluid.

The thermal efficiency of FPSC systems depends on multiple interconnected factors including collector geometry, material thermal properties, fluid flow characteristics, environmental conditions, and solar irradiance levels. Understanding these complex interactions requires sophisticated computational modeling approaches.

## Project Overview and Location-Specific Analysis

This simulation investigates solar thermal performance under realistic conditions in Doha, Qatar, incorporating:

**Geographic and Environmental Parameters:**
- Location: Doha, Qatar (high solar irradiance region)
- Collector orientation: 15-degree tilt angle for optimal solar exposure
- Realistic solar radiation modeling for Middle Eastern climate conditions

**System Configuration:**
- Working fluid: Water circulation through embedded pipe network
- Inlet temperature: 300 K (26.85°C)
- Mass flow rate: 0.025 kg/s for residential-scale application
- Outlet condition: Atmospheric pressure boundary

## Advanced Computational Model Development

**Geometry and Mesh Generation:**
- 3D collector geometry designed in ANSYS SpaceClaim
- High-fidelity polyhedral mesh using Fluent Meshing
- Total elements: 1,868,457 for detailed thermal analysis
- Refined mesh near fluid-solid interfaces for accurate CHT modeling

**Mesh Quality Optimization:**
- Boundary layer mesh for accurate heat transfer prediction
- Polyhedral cells for improved numerical accuracy
- Optimized aspect ratios in critical heat transfer regions

## Comprehensive Physics Modeling

**Conjugate Heat Transfer (CHT) Approach:**
- Coupled fluid-solid heat transfer analysis
- Simultaneous solution of energy equations in both domains
- Accurate prediction of temperature distributions across all components

**Fluid Flow Modeling:**
- Navier-Stokes equations for incompressible flow
- Laminar or turbulent flow depending on Reynolds number
- Pressure-velocity coupling for accurate flow field prediction

**Solar Radiation Modeling:**
- Discrete Ordinate (DO) radiation model implementation
- Solar ray tracing through collector geometry
- Absorption, reflection, and transmission calculations
- Solar load distribution on absorber surfaces

## Advanced Heat Transfer Mechanisms

**Solar Energy Absorption:**
- Direct solar radiation absorption by collector plate
- Spectral radiation properties of collector materials
- Solar heat flux distribution analysis

**Convective Heat Transfer:**
- Forced convection within fluid channels
- Natural convection effects in collector cavity
- Heat transfer coefficient calculations for fluid-solid interfaces

**Conductive Heat Transfer:**
- Heat conduction through collector plate and piping
- Thermal resistance analysis across material interfaces
- Temperature gradient calculations in solid components

**Radiative Heat Transfer:**
- Long-wave radiation exchange between surfaces
- Greenhouse effect within collector glazing
- Radiation heat loss to ambient environment

## Thermal Performance Analysis

**Temperature Enhancement:**
- Water outlet temperature: 300.385 K (27.24°C)
- Temperature rise: 0.385 K across collector length
- Thermal efficiency calculation based on solar input

**Heat Transfer Quantification:**
- Solar energy absorption rates
- Convective heat transfer to working fluid
- Heat loss mechanisms and thermal efficiency
- Energy balance validation

## Engineering Applications and Design Insights

**System Optimization:**
- Collector geometry optimization for maximum heat transfer
- Flow rate optimization for desired temperature rise
- Material selection based on thermal performance

**Performance Prediction:**
- Seasonal performance variations
- Part-load operation characteristics
- Economic feasibility analysis support

**Design Validation:**
- Experimental correlation and model validation
- Performance comparison with industry standards
- Thermal efficiency benchmarking

## Advanced CFD Techniques Demonstrated

**Multi-Physics Coupling:**
- Simultaneous radiation, conduction, and convection modeling
- Fluid-structure thermal interaction
- Non-linear material property handling

**Boundary Condition Modeling:**
- Solar radiation boundary implementation
- Ambient heat loss modeling
- Realistic operating condition simulation

**Solution Methodology:**
- Coupled energy-momentum solution approach
- Convergence acceleration techniques
- Residual monitoring and solution quality assessment

## Industrial Relevance

This comprehensive CFD analysis provides critical insights for:
- Solar thermal system design and optimization
- Renewable energy system performance prediction
- Heat exchanger design in solar applications
- Building-integrated solar thermal systems
- Industrial process heating applications

The sophisticated modeling approach demonstrates state-of-the-art conjugate heat transfer techniques essential for solar thermal engineering, making this project invaluable for renewable energy engineers and CFD professionals specializing in sustainable energy systems.

**Key Learning Outcomes:**
- Advanced radiation modeling techniques
- Conjugate heat transfer implementation
- Solar energy system analysis
- Multi-physics CFD simulation methods
- Renewable energy system optimization strategies

Reverse Osmosis (RO), CFD Simulation Ansys Fluent Training15:21
Master advanced water purification modeling through comprehensive reverse osmosis (RO) CFD simulation using ANSYS Fluent’s sophisticated multiphase flow capabilities.
This specialized section explores the fundamental physics and engineering applications of reverse osmosis desalination systems through two complementary simulation projects. Students will gain deep understanding of osmotic phenomena, membrane separation processes, and industrial water treatment system design.
Project 1: Osmotic Pressure Phenomenon Analysis
Model natural osmotic fluid movement in a divided chamber system
Investigate concentration-driven flow between saltwater and pure water
Analyze equilibrium establishment and pressure differential development
Understand fundamental osmotic physics without external forcing
Project 2: Industrial Reverse Osmosis Desalination System
Simulate complete RO membrane separation process
Model pressurized flow beyond osmotic pressure threshold
Analyze selective permeability through porous membrane modeling
Investigate salt rejection and pure water recovery mechanisms
Advanced Technical Skills Covered:
Eulerian Multiphase Modeling for dissolved salt-water systems
Porous Media Implementation for semi-permeable membrane simulation
Transient Analysis for time-dependent concentration evolution
Species Transport modeling for salt concentration tracking
Pressure-driven Flow analysis in membrane systems
Engineering Applications:
Industrial water desalination plant design
Membrane performance optimization
Concentration polarization analysis
System efficiency and energy consumption evaluation
This comprehensive training provides essential CFD skills for water treatment engineers, environmental consultants, and membrane technology specialists working on sustainable water purification solutions.

Requirements

Basic ANSYS Fluent Familiarity Required: Students should have fundamental knowledge of ANSYS Fluent interface and basic CFD concepts including geometry creation, meshing, and simple single-phase flow simulations. While advanced multi-phase and heat transfer experience is not required, learners should be comfortable navigating the Fluent workspace, setting up basic boundary conditions, and interpreting contour plots.

Description

Clean Water CFD Simulation Training Course by ANSYS Fluent

Master Advanced Multi-Phase Flow, Filtration, and Thermal Systems for Water Treatment & Clean Energy Applications

Course Overview

Transform your CFD expertise with this comprehensive training program focused on clean water technologies and sustainable energy systems. This advanced course combines four industry-relevant projects that demonstrate cutting-edge ANSYS Fluent simulation techniques for water treatment, purification, and renewable energy applications.

Whether you’re a CFD engineer, environmental consultant, water treatment specialist, or renewable energy professional, this course provides the practical skills needed to tackle real-world challenges in clean water and sustainable energy industries.

What You’ll Master

Advanced Multi-Phase Flow Modeling

Volume of Fluid (VOF) method for gas-liquid interactions
Eulerian multiphase modeling for solid-liquid separation
Interface tracking and phase interaction dynamics
Granular flow modeling with packed bed systems

Conjugate Heat Transfer (CHT) Simulation

Coupled fluid-solid heat transfer analysis
Solar radiation modeling using Discrete Ordinate method
Natural and forced convection in complex geometries
Temperature-dependent material properties

Industrial Water Treatment Applications

Distillation column tray design and optimization
Cake filtration mechanisms and performance prediction
Contaminant removal efficiency analysis
Two-phase separation process modeling

Clean Energy System Simulation

Geothermal reservoir heat extraction modeling
Solar thermal collector performance analysis
Renewable energy system optimization
Sustainable technology CFD applications

Four Complete Industry Projects

Project 1: Distillation Column Tray Two-Phase Flow

Model air-water interactions in industrial distillation systems
VOF multiphase modeling with interface dynamics
Tray hydraulics and separation efficiency analysis
Symmetry modeling for computational optimization

Project 2: Carbonate Cake Filtration System

Simulate solid-liquid separation in water treatment
Eulerian multiphase modeling with cake layer formation
Inter-phase force modeling (drag, lift, virtual mass)
Heat exchanger integration with filtration process

Project 3: Geothermal Reservoir Heat Extraction

Model downhole heat exchanger (DHE) systems
Natural convection in geothermal wells
Conjugate heat transfer in subsurface environments
Renewable energy system performance prediction

Project 4: Flat Plate Solar Collector CHT Analysis

Solar radiation modeling with DO method
Conjugate heat transfer in solar thermal systems
Location-specific solar performance analysis
Multi-physics coupling techniques

Technical Skills You’ll Develop

ANSYS Fluent Expertise

Advanced solver setup and configuration
Complex boundary condition implementation
Multi-physics model coupling
Solution monitoring and convergence techniques

Mesh Generation Mastery

Structured and unstructured mesh creation
Polyhedral meshing for complex geometries
Mesh quality optimization techniques
Boundary layer mesh implementation

Advanced Physics Modeling

Turbulence modeling (k-epsilon, RNG variants)
Radiation heat transfer simulation
Granular flow and packed bed modeling
Temperature-dependent property handling

Professional CFD Practices

Model validation and verification techniques
Result interpretation and analysis
Engineering report generation
Industrial application methodologies

Who This Course Is For

CFD Engineers seeking specialized water treatment and clean energy applications Environmental Engineers working on water purification and treatment systems Mechanical Engineers in renewable energy and thermal system design Water Treatment Professionals wanting to integrate CFD into their workflow Research Engineers in sustainable technology development Graduate Students in environmental, mechanical, or chemical engineering

Prerequisites

Basic knowledge of ANSYS Fluent interface
Understanding of fluid mechanics fundamentals
Familiarity with heat transfer principles
Basic CFD simulation experience recommended

What’s Included

Complete Project Files - All geometry, mesh, and case files Detailed Setup Instructions - Step-by-step simulation guides High-Quality Video Tutorials - Professional screen recordings with clear explanations Technical Documentation - Comprehensive project reports and analysis Best Practice Guidelines - Industry-standard CFD methodologies Troubleshooting Support - Common issues and solutions

Learning Outcomes

By completing this course, you’ll be able to:

Set up and solve complex multi-phase CFD simulations
Model industrial water treatment processes accurately
Analyze renewable energy system performance
Implement conjugate heat transfer in thermal systems
Optimize clean water and energy system designs
Apply advanced ANSYS Fluent features professionally

Industry Applications

This training directly applies to:

Water treatment plant design and optimization
Industrial separation process development
Geothermal energy system engineering
Solar thermal system design
Environmental remediation projects
Sustainable technology research and development

Start Your Journey to CFD Mastery

Join thousands of engineers who have advanced their careers with specialized CFD skills. This comprehensive training program provides the expertise needed to tackle tomorrow’s clean water and sustainable energy challenges.

Enroll today and transform your CFD capabilities for a cleaner, more sustainable future!

Who this course is for:

CFD Engineers & Simulation Specialists looking to expand their expertise into the rapidly growing clean water and environmental engineering sector. If you’re already comfortable with ANSYS Fluent but want to specialize in water treatment applications, this course will give you the advanced multi-phase and thermal simulation skills needed to tackle real-world environmental challenges. Environmental & Water Treatment Engineers who want to leverage CFD simulation to optimize their designs and processes. Whether you work in municipal water treatment, industrial filtration, renewable energy water systems, or environmental consulting, this course will teach you how to use computational tools to improve system efficiency and reduce costs. Mechanical Engineers in Renewable Energy focusing on solar thermal systems, geothermal applications, or sustainable water heating technologies. You’ll learn specialized conjugate heat transfer techniques and multi-phase modeling essential for designing next-generation clean energy water systems. Graduate Students & Researchers in environmental engineering, mechanical engineering, or related fields who need advanced CFD skills for thesis projects, research publications, or industry collaboration. This course provides the practical simulation expertise often missing from academic coursework. Industry Professionals Transitioning to Clean Tech who recognize the growing demand for water treatment and renewable energy expertise. With global water scarcity and sustainability concerns driving massive industry growth, these CFD skills will make you highly valuable in the clean technology job market. Perfect for professionals with 1-5 years of CFD experience ready to specialize in high-demand environmental applications!

Clean Water CFD Simulation Training Course by ANSYS Fluent

What you'll learn

Explore related topics

Course content

Two-Phase Flow Systems - Distillation Column Tray1 lecture • 19min

Solid-Liquid Separation - Carbonate Cake Filtration1 lecture • 1hr 2min

Geothermal Energy Systems - Reservoir CFD Modeling1 lecture • 20min

Solar Thermal Systems - Conjugate Heat Transfer1 lecture • 17min

Reverse Osmosis Water Desalination CFD Simulation1 lecture • 15min

Requirements

Description

Who this course is for: