Lecture 11 PPT
Slide 1 — Title: IRP Sensors
This lecture is about sensors used in process instrumentation and regulation. In process engineering, sensors are the “eyes and ears” of a system 👀. They measure physical or chemical variables so that a process can be monitored, controlled, optimized, and made safe.
The lecture focuses on typical sensors used in chemical/bioprocess systems, such as sensors for flow, temperature, pressure, liquid level, mass, and pH.
Slide 2 — Content overview
The main topics are:
- Mass
- Temperature
- Pressure
- Flow
- pH
These are core process variables. In a fermentation or chemical plant, you often need to know:
- how much material is present,
- how fast it is moving,
- how hot it is,
- how much pressure exists,
- and whether the liquid is acidic or basic.
These measurements are essential for both process safety and product quality.
Slide 3 — What do we want from sensors?
This slide introduces important sensor-performance concepts:
Limit of Detection, LOD
The limit of detection is the smallest signal or concentration that can be reliably detected above background noise.
The slide gives:
LOD = 3 × standard deviation
That means the measured signal must be at least three times higher than the noise variation to be considered detectable.
Limit of Quantification, LOQ
The limit of quantification is the smallest amount that can be measured accurately enough to give a reliable number.
The slide gives:
LOQ = 10 × standard deviation
So LOQ is stricter than LOD.
Simple explanation 🧠
Imagine trying to hear a whisper in a noisy room.
- LOD: You can tell someone is whispering.
- LOQ: You can clearly understand what they are saying.
For sensors, this matters because a sensor may detect that something is present, but not measure exactly how much is present.
Slide 4 — Venturi flow meters
A Venturi flow meter measures flow using a narrowed section of pipe.
Principle
It is based on Bernoulli’s principle.
When fluid passes through a narrow section:
- velocity increases,
- pressure decreases.
By measuring the pressure difference before and inside the narrow section, the flow rate can be estimated.
Important equation
Q = A × v
Where:
- Q = volumetric flow rate,
- A = cross-sectional area,
- v = fluid velocity.
Advantages
Venturi meters are mechanically simple and can measure flow without moving parts.
Downsides
The slide highlights two important disadvantages:
- Pressure loss
- The fluid loses some pressure when passing through the constriction.
- Density must be known
- Flow calculations depend on fluid density.
- Density depends on temperature and liquid composition.
So Venturi meters work best when the liquid properties are known and fairly constant.
Slide 5 — Vortex flow sensor from Grundfos
This is mostly an image slide showing a commercial vortex flow sensor.
What the image is showing
A vortex sensor contains an obstruction inside the flow path, called a bluff body. When fluid flows around this object, vortices are shed alternately from each side.
This creates a repeating pattern of swirls, known as a vortex street 🌪️.
The sensor detects the frequency of these vortices. Since vortex frequency is related to flow velocity, the sensor can calculate flow rate.
Why this is useful
Vortex sensors are useful because they convert a physical fluid phenomenon into a measurable signal.
In simple terms:
Faster flow → more vortices per second → higher measured frequency.
Slide 6 — Vortex flow
This slide explains vortex flow in more detail.
Strouhal number
The slide gives the Strouhal relationship:
St = f × d / v
Where:
- St = Strouhal number,
- f = vortex frequency,
- d = width of the bluff body,
- v = flow speed.
The slide states:
St = 0.18 for Re = 300–10⁷
That means over a large Reynolds number range, the relationship between vortex frequency and flow velocity is predictable.
Limitations
The slide lists several practical limitations:
- limited measuring range,
- no particles,
- depends on liquid and temperature,
- no air bubbles in the liquid,
- pressure loss through the sensor.
Interpretation
Vortex meters are useful for clean, single-phase liquids. But they are not ideal for dirty suspensions, foamy liquids, or bubbly liquids.
For example, if you have yeast cells or gas bubbles in the liquid, they may disturb vortex formation and make the measurement unreliable.
Slide 7 — Electromagnetic flowmeter
An electromagnetic flowmeter measures flow using Faraday’s law of electromagnetic induction.
Principle
When an electrically conductive liquid moves through a magnetic field, a voltage is induced.
The induced voltage is proportional to the velocity of the liquid.
So:
Moving conductive liquid + magnetic field = measurable voltage ⚡
Advantages
The slide says electromagnetic flowmeters are:
- independent of viscosity,
- able to handle liquids with particles,
- useful for electrically conductive liquids.
This is very useful in bioprocessing, where liquids may contain cells or suspended particles.
Limitations
The liquid must be electrically conductive.
Also, the slide notes:
- no air in the liquid.
Air bubbles can disturb the signal because air is not conductive and changes the effective measurement.
Important example
A suspension of yeast cells in water could be suitable for an electromagnetic flowmeter, because the liquid phase is conductive and the particles can be tolerated.
Demineralized water, however, is problematic because it has very low conductivity.
Slide 8 — Ultrasonic flowmeter
An ultrasonic flowmeter uses sound waves to measure flow.
Principle
Sound waves are sent through or along the liquid. The flow affects how long the sound takes to travel.
If the liquid flows in the same direction as the sound, the sound arrives faster. Against the flow, it arrives slower.
The difference can be used to calculate flow velocity.
Advantages
The slide says ultrasonic flowmeters are good for:
- high flows,
- large pipes.
They can often be installed without major pipe modifications, depending on type.
Limitations
The slide notes that they depend on:
- temperature,
- liquid type,
because the speed of sound changes depending on the medium and temperature.
Particles and bubbles disturb measurements. This is because bubbles and solids scatter or absorb ultrasound.
Practical meaning
Ultrasonic flowmeters are good for clean liquids in large systems, but less reliable for aerated fermentation broth or particle-rich suspensions.
Slide 9 — Mass flowmeters
This slide describes mass flowmeters, especially Coriolis-type mass flowmeters.
Principle
The slide says they detect a “twist” when a liquid is circulated in a loop.
In a Coriolis flowmeter, tubes vibrate while fluid flows through them. The moving mass creates a twisting effect due to Coriolis forces.
The stronger the twist, the higher the mass flow.
Why this is powerful
Unlike many other flowmeters, mass flowmeters measure mass flow directly, not just volume flow.
That means they are especially useful when density changes.
Advantages
The slide says:
- suitable for all types of flows,
- most precise flowmeter.
Disadvantage
They are expensive 💸.
When to use
A mass flowmeter is often a good choice when liquid composition or temperature changes, because it directly measures mass flow and is less dependent on density assumptions.
Slide 10 — Which flowmeter would you use?
This is a discussion slide asking you to choose flowmeters for different cases.
Case 1: Suspension of yeast cells in water
Best choice: electromagnetic flowmeter.
Why?
- yeast cells are particles,
- electromagnetic flowmeters can handle particles,
- water-based broth is usually conductive.
Avoid vortex and ultrasonic if the suspension or bubbles disturb measurement.
Case 2: Demineralized water
Best choice: likely ultrasonic or possibly mass flowmeter.
Why not electromagnetic?
- demineralized water has low conductivity,
- electromagnetic flowmeters require conductive liquid.
A Venturi meter could also work if density is known, but it causes pressure loss.
Case 3: Liquid of varying composition and temperature
Best choice: mass flowmeter.
Why?
- varying composition changes density,
- varying temperature also affects density and sound speed,
- mass flowmeters directly measure mass flow and are highly precise.
Slide 11 — Resistive temperature sensors, RTD
This image-heavy slide introduces RTDs, or resistance temperature detectors.
Principle
An RTD measures temperature through a change in electrical resistance.
For metals such as platinum:
Higher temperature → higher resistance
The relationship is approximately linear over many temperature ranges.
Temperature coefficient
The slide defines a temperature coefficient, α, with unit:
K⁻¹
This coefficient describes how much the resistance changes per degree of temperature change.
Simple explanation 🌡️
An RTD is like a thermometer where the “reading” is not mercury height, but electrical resistance.
If resistance increases in a predictable way, you can convert resistance into temperature.
Slide 12 — Platinum thermometer
This slide focuses on platinum RTDs.
Why platinum?
Platinum is commonly used because it has:
- stable resistance behavior,
- good accuracy,
- good chemical resistance,
- predictable temperature dependence.
Temperature ranges
The slide distinguishes between:
- −200°C to 0°C
- 0°C to 850°C
Different equations are used in different ranges because the resistance-temperature relationship is not perfectly linear across all temperatures.
Pt100, Pt500, Pt1000
The standard EN 60751 defines common platinum sensors:
- Pt100: R₀ = 100 Ω at 0°C
- Pt500: R₀ = 500 Ω at 0°C
- Pt1000: R₀ = 1000 Ω at 0°C
Example
For a Pt100:
- at 0°C, resistance is 100 Ω,
- at 20°C, resistance is about 108 Ω.
So a small resistance change corresponds to a temperature change.
Slide 13 — 2-point method is problematic
This slide explains a measurement problem with RTDs.
What is the 2-point method?
In a 2-wire setup, the same two wires are used to:
- send current through the RTD,
- measure voltage across it.
The problem is that the wires themselves have resistance.
Wire resistance
The slide gives:
- Rl = wire resistance,
- for 1 m copper wire with diameter 2 mm, resistance is about 5 mΩ,
- Pt100 resistance at 20°C is about 108 Ω.
Why this matters
The measured resistance becomes:
RTD resistance + wire resistance
Even if wire resistance is small, it can introduce error, especially when measuring very precisely.
Simple analogy
It is like trying to measure the weight of flour while forgetting that the bowl also has weight. The bowl may be small compared with the flour, but for precise measurements it matters.
Slide 14 — Solution: 4-point method
The 4-point method solves the wire-resistance problem.
How it works
Four wires are used:
- two wires carry current,
- two separate wires measure voltage.
Because the voltage-measuring instrument has very high internal resistance, almost no current flows through the sensing wires.
The slide states:
Ri >> Rl + R
This means the internal resistance of the measuring instrument is much larger than the wire resistance and sensor resistance.
Why this helps
Since almost no current flows through the voltage-sensing wires, there is almost no voltage drop across those wires.
So the measured voltage is much closer to the true voltage across the RTD.
Practical meaning
The 4-point method gives a much more accurate temperature measurement, especially for precision sensors like Pt100.
Slide 15 — Wheatstone bridge
This slide shows that a Wheatstone bridge can be even better for measuring small resistance changes.
What is a Wheatstone bridge?
It is an electrical circuit used to detect small resistance differences.
The RTD is placed as one resistor in the bridge. As temperature changes, the RTD resistance changes, and this creates a measurable output voltage.
Slide example
The slide gives:
At 10°C:
- RPt100 = 104 Ω
- Vout = 8 mV
At 20°C:
- RPt100 = 108 Ω
- Vout = 16 mV
So a small resistance change becomes a measurable voltage change.
Why it is useful
The Wheatstone bridge makes small changes easier to detect and can reduce the effect of unwanted noise or wire resistance.
Important note
The slide compares ratios and shows that output voltage can scale with resistance change. That makes the bridge useful for converting sensor resistance into an electrical signal.
Slide 16 — Thermocouples
Thermocouples are another type of temperature sensor.
Principle
A thermocouple consists of two different metals joined at a junction.
When the junction is heated, electrons move from the warm region toward the cold region.
This produces a voltage difference.
This is called the Seebeck effect.
Key point
The voltage depends on the temperature difference between the hot junction and a reference junction.
Therefore, the slide says:
You need a reference to find an absolute temperature.
Advantages
Thermocouples are:
- small,
- cheap,
- fast,
- good for high temperatures.
Limitation
They are generally less precise than RTDs and require reference-temperature compensation.
Slide 17 — Comparison: Thermocouples vs RTD
This slide compares the two temperature sensor types.
Thermocouples
Thermocouples are:
- smaller,
- usually use 2 wires,
- respond quickly,
- do not suffer much from self-heating,
- require a reference temperature,
- may drift over time,
- less precise.
The slide lists thermocouple precision around 0.1 K.
RTDs
RTDs are:
- bigger,
- can use 2 or 4 wires,
- slower,
- may have self-heating,
- do not require a reference temperature,
- drift less,
- more precise.
The slide lists RTD precision around 0.01 K.
Simple choice rule
Use a thermocouple when you need fast, robust, high-temperature measurement.
Use an RTD when you need high precision and stability.
Slide 18 — Pressure
This slide introduces pressure.
Definition
Pressure is force divided by area:
Pressure = Force / Area
Unit:
Pa = N/m²
Simple explanation
Pressure tells you how much force is applied over a surface.
For example:
- the same force over a small area gives high pressure,
- the same force over a large area gives lower pressure.
Why pressure matters
In process systems, pressure affects:
- flow,
- boiling point,
- membrane filtration,
- safety,
- pump requirements,
- tank and pipe design.
Pressure sensors are therefore very important in industrial systems.
Slide 19 — Strain gauge: pressure and mass
This image-heavy slide introduces strain gauges.
Principle
A strain gauge measures deformation.
When a material bends, stretches, or compresses, the strain gauge attached to it also deforms. This changes its electrical resistance.
For pressure
Pressure can bend a diaphragm. A strain gauge attached to the diaphragm detects the bending.
For mass
Mass creates force due to gravity. That force can deform a beam or load cell. The strain gauge detects the deformation.
Simple idea 🏋️
Strain gauges convert mechanical deformation into an electrical signal.
More force or pressure → more deformation → larger resistance change.
Slide 20 — Strain gauge with Wheatstone bridge
This slide explains that strain gauges are often used in a Wheatstone bridge.
Why?
The resistance changes in a strain gauge are very small.
A Wheatstone bridge makes these tiny changes easier to measure.
Temperature compensation
The slide says the Wheatstone bridge gives:
- more precise measurement,
- no influence of temperature.
More accurately, the bridge can reduce or compensate for temperature effects, especially when several strain gauges are arranged so temperature affects them similarly.
Practical meaning
This is useful in pressure sensors and weighing systems, where high precision is needed.
Slide 21 — Piezoresistive pressure sensor
A piezoresistive pressure sensor uses the piezoresistive effect.
Principle
When mechanical stress is applied to certain materials, their electrical resistance changes.
This is similar to a strain gauge, but often implemented directly in silicon microstructures.
How it works
Pressure deflects a thin membrane. Piezoresistors on the membrane experience stress, causing their resistance to change.
The sensor electronics convert this resistance change into a pressure reading.
Why useful?
Piezoresistive sensors are common because they can be:
- small,
- sensitive,
- integrated into electronic devices,
- suitable for pressure transducers.
Slide 22 — Measuring pressure
This slide shows different ways of measuring pressure.
Main pressure types
Absolute pressure
Measured relative to vacuum.
Example:
- atmospheric pressure is about 1 bar absolute.
Gauge pressure
Measured relative to atmospheric pressure.
Example:
- a tire pressure gauge shows pressure above atmospheric pressure.
Differential pressure
Measured as the difference between two pressures.
Example:
- pressure drop across a filter,
- liquid level from hydrostatic pressure,
- pressure drop across a flowmeter.
Why this matters
You must know what reference your pressure sensor uses. Otherwise, a pressure value can be misunderstood.
Slide 23 — Level sensing by differential pressure
This slide explains liquid level measurement using pressure.
Principle
The pressure at the bottom of a tank depends on the liquid height.
The relationship is:
ΔP = ρgh
Where:
- ΔP = pressure difference,
- ρ = liquid density,
- g = gravitational acceleration,
- h = liquid height.
Meaning
If you know the density of the liquid, you can calculate the liquid level from the pressure.
Limitations
The slide notes:
- depends on liquid density,
- sensitive to sediment and dirt.
If density changes, the level estimate becomes wrong. If sediment blocks the pressure connection, the measurement can fail.
Slide 24 — Pneumatic level measurement
This slide shows pneumatic level measurement, also called a bubbler system.
Principle
Gas is bubbled through a tube into the liquid. The pressure needed to push bubbles out equals the hydrostatic pressure at the tube opening.
That pressure tells you the liquid level.
Advantages
The slide says it is good for:
- dirty liquids,
- flammable liquids,
- digesters.
Why?
The sensor itself does not need to be in direct contact with the dirty or aggressive liquid. Only the tube contacts the liquid.
Practical example
In a biogas digester or wastewater tank, direct sensors may get dirty or clogged. A pneumatic system can be more robust.
Slide 25 — Ultrasonic level gauging
Ultrasonic level sensors measure distance using sound.
Principle
The sensor sends an ultrasonic pulse downward. The pulse reflects from the liquid or solid surface and returns to the sensor.
The time delay gives the distance to the surface.
Advantages
The slide says ultrasonic level gauging works for:
- liquids,
- solids.
It is also independent of liquid density.
Limitations
The slide notes it is limited by:
- foam,
- dust,
- dirt on the sensor.
Foam and dust scatter the sound waves and make the echo hard to interpret.
Practical meaning
Ultrasonic level sensors are useful when you want non-contact measurement, but they need a clear acoustic path.
Slide 26 — Level switch
This slide introduces level switches.
What is a level switch?
A level switch does not continuously measure the exact level. Instead, it detects whether the level is above or below a certain point.
Example functions
A level switch can tell you:
- tank is full,
- tank is empty,
- level has reached a safety limit,
- pump should turn on or off.
Difference from level sensor
A level sensor gives a continuous value.
A level switch gives a binary signal:
- yes/no,
- on/off,
- high/low.
Practical use
Level switches are often used for safety and automation, for example preventing overflow or dry-running of pumps.
Slide 27 — pH sensors
This slide introduces pH measurement.
What is pH?
pH measures hydrogen ion activity.
Low pH means acidic. High pH means basic.
pH-sensitive glass
The slide shows a reaction involving hydrogen ions and the glass surface:
H⁺ / −O−Si− ⇔ H⁺ + −O−Si−
This represents how hydrogen ions interact with silanol groups on the glass surface.
Principle
A pH electrode has a special glass membrane that develops an electrical potential depending on H⁺ activity.
The voltage difference is related to pH by the Nernst equation.
Simple explanation 🍋
The glass membrane behaves differently depending on how many hydrogen ions are in the solution. This creates a voltage, and the instrument converts that voltage into pH.
Slide 28 — pH electrode
This slide shows the structure of a pH electrode.
Main components
The slide labels:
- pH-sensitive glass,
- internal electrode, often Ag/AgCl,
- internal KCl solution,
- reference electrode,
- reference internal KCl solution,
- porous junction,
- non-conductive glass casing.
Why reference electrode is needed
The pH-sensitive glass gives a potential depending on pH, but to measure voltage you need a reference potential.
So a pH electrode is really an electrochemical cell.
Practical limitations
The slide says pH electrodes are:
- vulnerable,
- require maintenance,
- need electrolyte care,
- need recalibration,
- require temperature compensation.
Why temperature compensation matters
pH electrode response depends on temperature. Without compensation, the same voltage could correspond to slightly different pH values at different temperatures.
Slide 29 — Recap: Batch fermentation
This slide shifts from sensors to a fermentation process case.
What is batch fermentation?
In batch fermentation, substrate and microorganisms are added to a reactor, and the process runs for a defined time without continuous product removal.
After fermentation, the batch is harvested.
What the diagram likely shows
The P&ID-style diagram likely includes:
- fermenter vessel,
- feed or substrate addition,
- temperature control,
- agitation,
- sensors,
- outlet/harvest line,
- possibly gas handling.
Relevant sensors
For a batch fermenter, typical sensors include:
- temperature sensor,
- pH sensor,
- pressure sensor,
- level sensor,
- flow sensors on feed or cooling lines,
- possibly dissolved oxygen sensor,
- mass or load cells.
Process meaning
Batch systems are simpler than continuous membrane systems but require larger reactor volume for the same average production capacity.
Slide 30 — Recap: Continuous fermentation with MF
MF means microfiltration.
What continuous fermentation with MF means
In continuous fermentation, fresh substrate enters continuously and product-containing liquid leaves continuously.
The membrane retains microorganisms while allowing product and byproducts to pass through.
Why use membrane filtration?
The membrane keeps cells inside the reactor. This allows higher cell concentration and potentially smaller reactor size.
Cost comparison focus
The slide says the comparison focuses only on parts that are different:
CAPEX
Capital expenditure:
- reactor size,
- pumps.
OPEX
Operating expenditure:
- membrane replacement,
- pump electricity,
- maintenance.
Meaning
The comparison does not include every possible cost, only the costs that differ between alternatives. This is a useful simplification for a mini project.
Slide 31 — Dimension of reactors
This slide compares reactor dimensions for equal ethanol production.
Same production capacity
The slide states:
FEtOH = 100 kg ethanol/h
Three cases are compared:
- Batch fermentation
- Continuous microfiltration with dilution rate Di = 0.2 h⁻¹
- Continuous microfiltration with dilution rate Di = 1 h⁻¹
Reactor volumes
The slide gives approximate reactor volumes:
- Batch: 35.9 m³
- Continuous MF, Di = 0.2 h⁻¹: 11.9 m³
- Continuous MF, Di = 1 h⁻¹: 2.4 m³
Interpretation
Higher dilution rate means liquid passes through the system faster. If productivity is maintained, the reactor volume can be smaller.
So:
Batch needs the largest reactor. Continuous MF at high dilution rate needs the smallest reactor.
However, smaller reactor volume does not automatically mean cheaper total process, because membrane area and pumps may become much more expensive.
Slide 32 — Fermentation case: project questions
This slide lists the tasks for the fermentation mini-project.
You need to answer:
- Draw detailed P&IDs with relevant sensors.
- Dimension fermenters.
- Define pump requirements for membrane operation.
- Choose materials.
- Choose valves and pumps.
- Estimate process cost and feasibility.
- Identify how costs are split between CAPEX, membrane operation, etc.
What this means
The project is not only about calculations. It is about process design.
You need to think like an engineer:
- What equipment is needed?
- What sensors control the process?
- What assumptions are made?
- What costs dominate?
- Which design is most favorable?
Slide 33 — Fermentation case: membrane process
This slide gives the membrane assumptions.
Membrane job
The membrane retains microorganisms while allowing product and byproducts to leave.
So cells stay in the fermenter, while ethanol-containing permeate exits.
Membrane permeability
The slide gives:
Permeability = 80 L m⁻² h⁻¹ bar⁻¹
This means that for every square meter of membrane area, each bar of pressure gives 80 L/h of filtrate.
Desired flux
The desired flux is:
40 LMH
LMH means:
L m⁻² h⁻¹
So each square meter of membrane should produce 40 L/h permeate.
Transmembrane pressure
The slide says this requires:
TMP = 0.5 bar
Because:
80 LMH/bar × 0.5 bar = 40 LMH
Crossflow mode
The membrane operates in crossflow mode. Liquid flows along the membrane surface, which helps reduce fouling.
Assumptions:
- pressure drop from feed inlet to retentate outlet = 0.2 bar,
- crossflow velocity = 2 m/s,
- crossflow = 10 m³/h per m² membrane area.
Tasks
You must calculate:
- required membrane area,
- required pumps,
- pump head and flow,
- pump price,
- electricity consumption.
Slide 34 — Fermentation case: membrane area
This slide gives the required membrane areas.
Formula idea
Required membrane area is calculated from:
Area = permeate flow / flux
If you need a large permeate flow and flux is fixed, you need more membrane area.
Results
The slide gives:
- Batch: A = 0 m²
- Continuous MF, Di = 0.2 h⁻¹: A = 22.4 m²
- Continuous MF, Di = 1 h⁻¹: A = 222.4 m²
Interpretation
Batch has no membrane, so membrane area is zero.
The high dilution-rate continuous case needs much more membrane area because much more liquid must be filtered per hour.
Key lesson
A smaller reactor can require a much larger membrane system.
This is an important engineering tradeoff:
Smaller tank ≠ automatically cheaper process.
Slide 35 — Fermentation case: required pumps
This slide calculates pump flow and head for the membrane process.
Crossflow assumption
The slide states:
10 m³/h is needed per m² membrane area
So pump flow is:
Q = 10 m³/h/m² × membrane area
For Di = 0.2 h⁻¹
Membrane area:
22.4 m²
Pump flow:
Q = 10 × 22.4 = 224 m³/h
Pump head:
6 m
Suggested setup:
- 2 pumps,
- each CRE 125-1-1,
- each provides 112 m³/h and 6 m head.
For Di = 1 h⁻¹
The slide appears to have a typo where it repeats “Cont MF Di = 0.2” for the second case, but based on the membrane area 222.4 m², this must refer to Cont MF Di = 1 h⁻¹.
Membrane area:
222.4 m²
Pump flow:
Q = 10 × 222.4 = 2224 m³/h
Suggested setup:
- 20 pumps,
- CRE 125-1-1,
- each 3.346 kW.
Why so many pumps?
Because crossflow filtration requires high recirculation flow to keep the membrane surface clean and reduce fouling.
The high dilution-rate case needs a much larger membrane and therefore a much larger crossflow pump capacity.
Slide 36 — Fermentation case: pump energy
This slide estimates pump electricity consumption.
For Di = 0.2 h⁻¹
From the previous slide:
- 2 pumps,
- each uses energy corresponding to 1070 EUR/year.
Total:
2140 EUR/year
For Di = 1 h⁻¹
- 20 pumps,
- each uses energy corresponding to 1070 EUR/year.
Total:
21,400 EUR/year
Key lesson
The membrane system does not only add equipment cost. It also adds operating cost because pumps must run continuously.
Engineering interpretation
The high dilution-rate case has a small reactor, but pump energy becomes much larger because the required membrane area and crossflow are much larger.
Slide 37 — Fermentation case: repeated project questions
This slide repeats the overall project questions.
That repetition is useful because the membrane calculations are only one part of the design.
You still need to connect:
- P&ID,
- sensors,
- reactor sizing,
- pump sizing,
- material choices,
- valve choices,
- CAPEX,
- OPEX,
- feasibility.
Important takeaway
A good design report should not only present numbers. It should explain why the chosen process is technically and economically reasonable.
Slide 38 — CAPEX reactors
This slide calculates reactor capital costs.
CAPEX meaning
CAPEX means capital expenditure, which is the upfront cost of buying and installing equipment.
Reactor volume comparison
From earlier:
- Batch reactor volume: 35.9 m³
- Continuous MF Di = 0.2 h⁻¹: 11.9 m³
- Continuous MF Di = 1 h⁻¹: 2.4 m³
Cost trend
Smaller reactor volume gives lower reactor cost.
The later cost table gives:
- Batch reactor cost: 632,000 USD
- Cont MF Di = 0.2 h⁻¹ reactor cost: 297,000 USD
- Cont MF Di = 1 h⁻¹ reactor cost: 127,000 USD
Interpretation
Continuous fermentation reduces reactor CAPEX because reactor volume is smaller.
But again, this does not include membrane and pump costs yet.
Slide 39 — CAPEX membrane system pumps
This slide adds pump purchase costs.
Batch
Batch has no membrane system.
Pump cost:
0 USD
Cont MF Di = 0.2 h⁻¹
Requires:
- 2 pumps,
- each costs 20,000 USD.
Total:
40,000 USD
Cont MF Di = 1 h⁻¹
Requires:
- 20 pumps,
- each costs 20,000 USD.
Total:
400,000 USD
Interpretation
The high dilution-rate process has the smallest reactor, but the pump system becomes very expensive.
This is the central tradeoff:
Increasing dilution rate reduces reactor size but increases membrane and pump demand.
Slide 40 — OPEX
OPEX means operating expenditure.
This slide identifies two main operating costs for the membrane system:
- Membrane replacement
- Pump electricity consumption
Why OPEX matters
A process with low CAPEX may still be expensive if yearly operating costs are high.
In membrane systems, OPEX is especially important because:
- membranes foul and need replacement,
- pumps consume electricity continuously,
- maintenance is required.
Slide 41 — Costs of membrane replacement
This slide calculates yearly membrane replacement cost.
Given assumptions
Membrane cost:
790 USD/m²
Membrane lifetime:
5 years
Membrane areas:
- Batch: 0 m²
- Cont MF Di = 0.2 h⁻¹: 22.4 m²
- Cont MF Di = 1 h⁻¹: 222.4 m²
Batch
No membrane:
0 USD/year
Cont MF Di = 0.2 h⁻¹
Membrane cost:
22.4 × 790 = 17,696 USD
Yearly cost over 5 years:
17,696 / 5 = 3,539 USD/year
Cont MF Di = 1 h⁻¹
Membrane cost:
222.4 × 790 = 175,696 USD
Yearly cost over 5 years:
175,696 / 5 = 35,139 USD/year
Interpretation
The high dilution-rate continuous system has about 10 times more membrane area and therefore about 10 times higher membrane replacement cost.
Slide 42 — Costs of electricity for membrane pumps
This slide converts pump electricity consumption into yearly cost.
Given assumption
Each pump consumes electricity corresponding to:
1070 EUR/year = 1225 USD/year
Batch
No membrane pumps:
0 USD/year
Cont MF Di = 0.2 h⁻¹
2 pumps:
2 × 1225 = 2450 USD/year
Cont MF Di = 1 h⁻¹
20 pumps:
20 × 1225 = 24,500 USD/year
Interpretation
Pump electricity cost scales with number of pumps.
The high dilution-rate process has 10 times more pumps than the lower dilution-rate process, so electricity cost is also 10 times higher.
Slide 43 — Total costs
This slide combines CAPEX and OPEX.
CAPEX comparison
| Case | Reactor volume | Reactor cost | Pump cost | Total CAPEX |
|---|---|---|---|---|
| Batch | 35.9 m³ | 632,000 USD | 0 | 632,000 USD |
| Cont MF Di = 0.2 h⁻¹ | 11.9 m³ | 297,000 USD | 40,000 USD | 337,000 USD |
| Cont MF Di = 1 h⁻¹ | 2.4 m³ | 127,000 USD | 400,000 USD | 527,000 USD |
OPEX comparison
| Case | Membrane cost/year | Pump electricity/year | Maintenance/year | Total OPEX/year |
|---|---|---|---|---|
| Batch | 0 | 0 | 31,600 USD | 31,600 USD |
| Cont MF Di = 0.2 h⁻¹ | 3,539 USD | 2,450 USD | 16,850 USD | 40,540 USD |
| Cont MF Di = 1 h⁻¹ | 35,139 USD | 24,500 USD | 26,350 USD | 261,690 USD |
Total cost over 30-year lifetime
The slide gives annualized total cost of operation:
- Batch: 52,667 USD/year
- Cont MF Di = 0.2 h⁻¹: 51,774 USD/year
- Cont MF Di = 1 h⁻¹: 279,257 USD/year
Main conclusion
The Cont MF Di = 0.2 h⁻¹ case is slightly cheaper than batch in annualized cost.
The Cont MF Di = 1 h⁻¹ case is much more expensive because membrane area, pumps, and operating costs become very large.
Engineering lesson ⚙️
The most intensified process is not always the most economical.
Higher dilution rate gives:
- smaller reactor,
- but much higher membrane area,
- much higher pump CAPEX,
- much higher electricity,
- much higher membrane replacement cost.
Slide 44 — Advice for mini report
This slide gives practical report-writing advice.
What to do
Make assumptions clearly
For example:
- membrane lifetime = 5 years,
- pump cost = 20,000 USD each,
- maintenance = 5% of CAPEX/year,
- flux = 40 LMH.
Assumptions are not bad, but they must be stated clearly.
Set boundaries
A mini report should not cover everything. Define what is included and what is excluded.
For example:
- include reactor and pump CAPEX,
- include membrane replacement and electricity,
- exclude labor, cleaning chemicals, downtime, installation complexity, etc.
Keep it 5–10 pages
The report should be focused and concise.
What not to do
Do not write too much
More text does not automatically mean better analysis.
Do not ask for quotes
The slide likely means that for the mini-project, you should estimate based on available data rather than contacting suppliers for detailed commercial quotes.
Slide 45 — Workshop day, May 6th
This slide gives the schedule for the workshop day.
Chemical engineering students
- 8:15–12:00: Practical control exercise with Kirsten
- 12:30–16:15: Support from Mads on the mini project
Biotechnology students
- 8:15–12:00: Support from Mads on the mini project
- 12:30–16:15: Practical control exercise with Kirsten
Meaning
The day is split between practical control training and mini-project support.
Overall summary of the whole lecture
This lecture teaches how different sensors are used in process systems and how sensor choice depends strongly on the process conditions.
Sensor selection is about tradeoffs
No sensor is perfect.
For example:
- Venturi meters are simple but cause pressure loss.
- Vortex meters work for clean liquids but not particles or bubbles.
- Electromagnetic meters are good for conductive suspensions but not demineralized water.
- Ultrasonic meters are good for large pipes but disturbed by bubbles and particles.
- Mass flowmeters are very precise but expensive.
Temperature sensors also involve tradeoffs
- Thermocouples are fast and simple but less precise.
- RTDs are precise and stable but slower and more expensive.
- 4-point measurement and Wheatstone bridges improve accuracy.
Pressure and level sensors are closely connected
Pressure can be used directly for pressure measurement or indirectly for liquid level measurement.
For example:
- differential pressure can estimate tank level,
- pneumatic bubbling works well for dirty liquids,
- ultrasonic level sensing avoids direct contact but struggles with foam and dust.
pH measurement is powerful but maintenance-heavy
pH electrodes are essential in fermentation and chemical processing, but they are fragile and require calibration, temperature compensation, and electrolyte maintenance.
The fermentation case shows real engineering decision-making
The continuous membrane fermentation system can reduce reactor size, but it creates new costs:
- membrane area,
- pump capacity,
- pump electricity,
- membrane replacement,
- maintenance.
The best option in the given calculation is not the most aggressive continuous process. Instead, continuous MF at Di = 0.2 h⁻¹ gives the lowest annualized cost, slightly below batch, while Di = 1 h⁻¹ becomes too expensive due to membrane and pump demands.
Big takeaway 🧠
A good process design does not only ask:
“Can we make the reactor smaller?”
It also asks:
“What extra equipment, sensors, energy, maintenance, and cost does that require?”