Friday, November 21, 2025

Wastewater pollution and Treatment studies


Water is a vital resource for human well-being. However, with the increase in the population and industrial development, its quality has been affected. Therefore, there is a growing concern about a specific class of pollutants: the so-called emerging contaminants.

Increasing global demand for clean water and sustainable energy has necessitated the development of innovative and integrated technologies that address environmental and energy challenges concurrently. Among various approaches, AOPs (Advanced Oxidation Processes) have emerged as powerful techniques for the degradation of persistent organic pollutants in wastewater. These processes rely on the in situ generation of highly reactive species, particularly hydroxyl radicals (OH), which can non-selectively oxidize a wide range of contaminants.

Fenton reactions, ozonation, and electrochemical oxidation. The integration of different AOP mechanisms often leads to higher reaction rates, lower energy consumption, and improved mineralization of complex wastewater matrices.  Emerging organic contaminant attachments in water molecules have increased as a result of the industrialization of medications. Some sectors are using substantial resolution technologies to remove toxins from water because of increasing concerns. As a result, the creation of low-cost, efficient techniques for breaking down and producing energy from waste is beneficial for the quickly growing organic ingredient market.

Magnetic characteristics have sparked widespread interest and are critical due to their diversity and multidimensional nature. Among many magnetic characteristics, various magnetic materials, ferrites have captivated the interest of researchers owing to their exceptional combination of favourable properties, including moderate saturation magnetization, low magnetic losses, single-phase purity, and high adsorption capacity for pollutants, antibacterial properties, exceptional chemical stability, large surface to volume ratio, high coercivity, affordable cost, high electrical resistivity, and remarkable initial per adsorptive materials has been increasingly recognized for its noteworthy potential in a wide range of technology applications, such as data storage, drug-delivery, microwave absorption and reflection, and photocatalysis, among many other applications is a wonder in establishing new approaches.

Photocatalysis is a green, emerging technique for which further research is anticipated with various nanomaterials, driven by its ongoing advancements. This approach has a vast range of degradation or removal of pollutants for conserving mineralization.


 Figure 1: Photocatalytic process 

Currently, there are numerous methods for producing free radicals, such as composite activation, alkali activation, heat activation, UV activation, microwave activation, and ultrasonic activation. Aerogels and other 2D and 3D materials have previously demonstrated potential as persulfate activation options in the degradation of organic contaminants. This is because of their potential to accelerate the degradation of textile wastewater. Radicals can be activated by carbon-based compounds, and the method is more effective. More firmly bonded pollutants are broken down with the aid of PMS activation. e-/h+ pairs become active or are formed when light strikes them. This falls under the category of photocatalytic activity. The primary issue with either employing or not using a catalyst is that there aren't enough radicals to proceed through the oxidation and reduction processes. A catalyst that degrades pollutants can be made with a variety of methods. These include co-precipitation, auto-thermal stages, SCSs methods, sol-gel, microwave solution combustion synthesis, hydrothermal, green synthesis, Sölve Thermal, etc. 

In Figure 1, the basic ideas of solar-irradiated semiconductor photocatalysis are demonstrated. Photons from solar irradiation excite electrons in the valence band, moving them to the conduction band and leaving holes (h+) in the valence band when semiconductor compounds in wastewater or contaminants are present. Between these, the Band Gap is created. Reduction reactions can involve electrons in the conduction band. They can, for instance, convert carbon dioxide into useful compounds like methanol or methane or reduce protons to hydrogen gas. Redox processes are the term used to describe these reactions. The valence band's holes are capable of taking part in oxidation processes. They can aid in the breakdown of organic contaminants into carbon dioxide and water, or they can oxidise to water to produce oxygen and protons. Despite involving hole oxidation, these reactions are also categorised as redox processes. These chemical processes depend on the separation of charges. Applications for this method include reducing greenhouse gas emissions, producing hydrogen through water splitting, and cleaning up the environment by decomposing organic pollutants.

Monday, October 27, 2025

Pipe Diameter, Length, and Flow Rate Affect Friction Losses

Introduction 

Fluid friction plays a crucial role in determining the efficiency and energy losses in any piping network. Whether in chemical plants, powder systems, or laboratory-scale experiments, understanding frictional pressure losses helps engineers design safer and more efficient systems. Process simulation software is crucial for engineers to visualise, calculate, and optimise fluid flow behaviour—including friction losses in pipes and fittings—without extensive manual computation. In this article, we explore how pipe fittings can be used to model friction and pressure drops in complex piping networks

When a fluid flows through a pipe, part of it is lost because of friction between the fluid and the pipe's internal surface. This energy loss is called head loss

  • Pressure drop across the pipeline. 
  • Increased pumping power requirements. 
  • Reduced flow efficiency.

In real systems, friction losses occur in two main forms: 

Major Losses—because of friction along the length of the pipe. 

Minor Losses—because of valves, fittings, and expansion/contractions

Understanding and quantifying both are essential for accurate process design. 

Modelling Fluid Friction    

DWSIM allows us to understand the model, both simple pipelines and complex ones, by interconnected networks using built-in unit operations like: 
Each Pipe Segment unit in DWSIM can simulate pressure drop because of friction using correlations such as: 
In real piping networking, frictional resistance also rises from elbows, Bends, and tees, Valves (globe, gate, ball), reducers and expanders. These fittings are essential for changing the direction of flow and also reducing the size of the pipes with each fitting step. Stainless steel pipes are excellent for resistance to corrosion, high strength and durability under both high temperature and pressure conditions. It depends on the piping length, Thickness that is driven by the Schedule Numbers (SCN). Good SCN means better compatibility and utilisation for high-pressure ranges. 


Figure 1: Piping Network and Fluid Friction


Applications

1. Chemical Process IndustriesIn Chemical Process Industries, the piping network is essential for fluid transfer. The estimation of data or evaluation of flow rate, pressure drop, and fluid velocity at various cross sections is contingent upon the flow regimes in fluid dynamics, with fittings also exhibiting variability. This can improve operational conditions to reduce losses in piping systems.

2. Wastewater Treatment Plants: In WWT plants, pipes and fittings are essential for transporting raw sewage, process water, sludge, and treated effluent between different units. The choice of pipe type, materials, and fittings depends on pressure, chemical exposure, temperature, and different flow characteristics. Pipes are made up of ductile iron, HDPE, or PVC. Diameter size around (100-200 mm) for the main inflow. Fittings like elbows, reducers, and tees for directing flow. 

Materials of Fittings used in Different Units: 
  • Primary Treatment - Butterfly valves, gate valves, bends, T-joints. 
  • Biological Stage - Diffuser pipe connections, check valves, reducers, and manifolds. 
  • Tertiary Treatment and Filtration - Tee and elbow joints, reducers, valves and union fittings for chemical dosing lines. 
  • Sludge Treatment - Flanged elbows, tees, reducers and pressure-rated valves. 
  • Effluent Discharge - bends, reducers, tees and non-return valves. 
Materials of Pipes used in Different Units at WWT: 
  • Primary Treatment - Ductile iron, HDPE or PVC. 
  • Biological Stage - Inlet/Outlet pipes to sedimentation basins (PVC or HDPE).  
  • Tertiary Treatment and Filtration - PVC, HDPE for filtered water and chlorine dosing lines. 
  • Sludge Treatment - Cast Iron, HDPE, or Carbon Steel. 
  • Effluent Discharge - PVC, HDPE or concrete (for gravity flow).
3. Oil and Gas TransportationIn oil and gas transportation, pipes and fittings are the backbone of the transportation system, carrying crude oil, natural gas, refined products, and process fluids safely over long distances. In the oil and gas industries, various applications span extraction, transportation, refining, and distribution. 

Typical Pipe and Fittings Materials (Extraction site): 

Pipe material: Carbon steel (API 5L, ASTM A106, A53), SS316, SS304, Duplex/Super Double Steel. 
Fittings Materials: Elbows (45°, 90°), Tees and crosses, Reducers, Flanges and unions, Couplings, Nipples, caps and plugs. 

Typical Pipe and Fittings Materials (Transportation and Storage):
 
Pipe material: Carbon steel (API 5L Gr.B, X42-X70), coated steel, HDPE/GRE).  
Fittings Materials: Butt-welded fittings, Insulated fittings, Ball/Gate valves, Pig Launchers/receivers.
 
Typical Pipe and Fittings Materials (Refining and Petrochemical Processing):

Pipe material: SS304, SS316, Alloy steel (P11, P22, Inconel), PVC, CPVC, PP. 
Fittings Materials: Socket-welded and threaded fittings, Butt weld fittings, instrumentation fittings, and expansion joints. 

Fluid Friction Effects in Chemical Process Industries: 

In chemical engineering plants, an installed piping network facilitates the transportation of fluids and gases, effectively delivering a sufficient mass of materials to the desired reaction in the reactor at a constant flow rate, thereby enabling further chemical reactions. To reduce the corrosion effect on metallic pipelines, most of the industries use SS type of materials in piping design, which not only serves for transportation but also enhances the efficiency of the plant working process without cracking on the surface of the metallic layer. To reduce thermal load, stability on metals by coating the pipes. That directly affects the minimal losses and also covers the surface from damage. According to Mathews 1981, most metals affect shoes' ductility behaviour with certain thermal limits. 




The fluid friction in the piping network means quantifying resistance in the pipelines because of a wide range of pressures in the industrial piping network. Those experiences in the pipes, ducts, packed beds, reactors, and heat exchangers. It is s critical factor in design, energy efficiency, and safety. 

Frictional losses: The drops in pressure as fluids move due to viscous shear and form drag. It affects pump sizing, energy consumption, and process controllability. 
Viscosity: A fluid property that directly influences friction, with higher viscosity with higher frictional losses. 
Reynolds number: a dimensionless parameter that characterises flow regimes (laminar, transitional, turbulent) and helps select correlations for friction factors. It is a dimensionless coefficient used in head/pressure drop correlations like Darcy-Weisbach.  
L = length of the pipe

D = pipe diameter

ρ = fluid density

v = average fluid velocity

f = friction factor (function of Re and roughness)

Moodsy chart / Colebrook-White equation:

f = f (Re, ε/D) for turbulent flow in smooth/rough pipes.

For laminar flow (Re < ~2000),  f = 64 / Re.

Equivalent roughness or empirical adjustments may be applied to ducts and some fittings.

 

Components and sources of friction loss in processes

Straight pipe segments: primary contributor to pressure drop via viscous shear, build tiny losses (K-values) that build up to big losses in fittings, valves, bends, expansions, and contractions.

Reactions in packed or structured beds: flow distribution and bypassing affect pressure drop.

Heat exchangers and surface roughness: fouling increases effective roughness over time, increasing friction.

Multiphase flow: gas-liquid or liquid-solid mixtures complicate friction; slip, emulsions, and phase distribution change effective viscosity.

Design considerations

Pipe sizing: balance between minimum sufficient diameter to keep Re in the desired regime and material/cost constraints.

Pump selection: ensure net positive suction head (NPSH) availability and energy efficiency; consider variable-speed drives for part-load efficiency.

Fouling management: anticipate fouling factors, clean-in-place (CIP) intervals, and design for ease of cleaning.

Temperature and viscosity changes: viscosity typically decreases with temperature; account for process heat integration and viscosity variation in friction calculations.

Hydrodynamic modelling: use computational fluid dynamics (CFD) or one-/two-dimensional models for complex internals; otherwise, rely on standard correlations for pipes and ducts.

Common equipment where fluid friction matters

Pipelines and distribution networks

Heat exchangers (shell-and-tube, plate): pressure drop across tubes/plates and fouling resistance

Reactors with internal coils or baffles

Packed-bed reactors and distillation columns (radial/axial flow packs, random packings)

Absorbers/strippers with gas-liquid contactors

Slurry pipelines and slurry transport lines

Practical steps for engineers

Collect fluid properties: density, viscosity (and viscosity as a function of temperature), phase fractions.

Determine the flow regime by computing Re and anticipating possible transitions due to temperature or composition changes.

Select appropriate friction factor correlations: Laminar (f = 64/Re) or Turbulent (Colebrook-White, Haaland, Swamee-Jain, etc.).

Add minor losses: use K-values for fittings, valves, expansions, contractions; sum with major losses.

Account for fouling: include a fouling factor (e.g., in heat transfer and friction calculations) and plan maintenance.

Validate with plant data: compare predicted ΔP with measured pressure drops; recalibrate correlations if needed.

Quick example (pipe flow)

Given: 2-inch pipe (D = 0.1524 m), length L = 50 m, fluid: water, 25°C, ρ ≈ 997 kg/m³, μ ≈ 1.0 mPa·s.

Compute velocity from volumetric flow rate Q (if provided).

Re = ρvD / μ.

If Re < 2000, f = 64/Re; else use Colebrook-White with ε/D (pipe roughness for commercial steel ~0.045 mm).

ΔP = f (L/D) (ρ v² / 2)

Fouling and maintenance notes

Over time, fouling increases the friction factor. Monitor the pressure difference between heat exchangers and reactors.

Establish CIP and pigging schedules for pipelines to mitigate buildup.

Use coatings or smoother internal components where feasible to reduce surface roughness.