Residence time distribution: E and F curves
Residence time distribution from pulse and step tracer tests: E and F curves, mean and variance, ideal-reactor RTDs and diagnosing dead zones and bypassing, with worked tracer-data calculations.
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Why it matters
Real reactors are neither perfect plug flow nor perfectly mixed: fluid channels, short-circuits and stagnates in dead corners. A simple tracer test gives the residence time distribution (RTD), which diagnoses these faults and, combined with kinetics, predicts the conversion a real vessel will achieve.
Key ideas
Exit-age distribution E(t). Fluid elements leaving a vessel have spent different times inside. E(t)·dt is the fraction of the exit stream that has been inside for between t and t + dt. E has units of time⁻¹ and its total area is one: ∫E dt = 1. It is a property of the flow pattern (assuming steady flow and a closed vessel — fluid enters and leaves once, by plug flow at the boundaries).
Pulse experiment → E. Inject a quick pulse of tracer (amount M) into the feed and record the exit concentration C(t). Then E(t) = C(t)/∫C dt. A mass balance checks the test: M = v·∫C dt.
Step experiment → F. Switch the feed abruptly to a stream containing tracer at C0 and record C(t). F(t) = C(t)/C0 is the fraction of exit fluid younger than t. F rises from 0 to 1, never decreases, and F(t) = ∫(0→t) E dt, so E = dF/dt.
Mean and variance.
- Mean residence time t̄ = ∫t·E dt. For a closed vessel with constant density, t̄ = V/v = τ. If the measured t̄ is shorter than V/v, part of the volume is dead (stagnant); if the curve shows an early sharp peak, some fluid bypasses.
- Variance σ² = ∫(t − t̄)²·E dt = ∫t²·E dt − t̄² measures spread.
Dimensionless form. θ = t/t̄, Eθ = t̄·E(t), F(θ) = F(t). Plotting in θ lets vessels of different sizes be compared; σθ² = σ²/t̄².
Ideal reactors.
- PFR: E is a spike (Dirac delta) at t = τ; F is a step from 0 to 1 at τ; σ² = 0.
- CSTR: E = (1/τ)·exp(−t/τ); F = 1 − exp(−t/τ); σθ² = 1. About 63.2 % of the fluid leaves before τ.
- Laminar flow in a pipe (no diffusion): E = τ²/(2t³) for t ≥ τ/2 and 0 before; the first fluid leaves at τ/2.
Diagnosing faults. Early peak plus long tail → channelling or bypassing; t̄ less than V/v → dead zones; multiple peaks → internal recirculation; a delayed response → plug-flow section in series.
From RTD to conversion. For first-order reactions the RTD alone predicts the conversion exactly (next topic: segregation model). For other orders the RTD is necessary but not sufficient — the degree of micromixing also matters.
Formulas
E(t) = C(t) / ∫(0→∞) C dt (pulse tracer)
- C: exit tracer concentration (mol/m³ or kg/m³); E in s⁻¹.
F(t) = C_step(t)/C0 = ∫(0→t) E dt; E = dF/dt
t̄ = ∫ t·E dt = Σ t_i·C_i·Δt_i / Σ C_i·Δt_i (discrete, equal or unequal intervals)
σ² = ∫ t²·E dt − t̄² = Σ t_i²·C_i·Δt_i / Σ C_i·Δt_i − t̄²
- σ² in s²; t̄ in s.
t̄ = V/v (closed vessel, constant density, no dead volume)
θ = t/t̄, Eθ = t̄·E, σθ² = σ²/t̄²
E_CSTR = (1/τ)·exp(−t/τ), F_CSTR = 1 − exp(−t/τ)
E_laminar = τ²/(2t³) for t ≥ τ/2; F_laminar = 1 − τ²/(4t²) for t ≥ τ/2
M = v·∫ C dt (tracer balance for a pulse)
- M: tracer injected (mol or kg); v: volumetric flow (m³/s).
Worked examples
Example 1 (standard, pulse data). A pulse test on a vessel gives (t in min, C in g/m³): 0, 0; 5, 3; 10, 5; 15, 5; 20, 4; 25, 2; 30, 1; 35, 0. Find E, t̄ and σ².
- Equal intervals Δt = 5 min: ∫C dt ≈ ΣC·Δt = (3 + 5 + 5 + 4 + 2 + 1) × 5 = 100 g·min/m³.
- E = C/100: 0.03, 0.05, 0.05, 0.04, 0.02, 0.01 min⁻¹ at t = 5 … 30 min.
- t̄ = Σt·C/ΣC = (15 + 50 + 75 + 80 + 50 + 30)/20 = 300/20 = 15 min.
- Σt²·C/ΣC = (75 + 500 + 1125 + 1600 + 1250 + 900)/20 = 5450/20 = 272.5 min².
- σ² = 272.5 − 15² = 47.5 min²; σθ² = 47.5/225 = 0.211.
t̄ = 15 min; σ² = 47.5 min². If the vessel has V = 2 m³ and v = 0.1 m³/min, V/v = 20 min > 15 min, so about (20 − 15)/20 = 25 % of the volume is dead.
Example 2 (GATE level, ideal curves). For an ideal CSTR with τ = 10 min, find (a) the fraction of exit fluid that stayed less than 5 min, (b) the fraction that stayed more than 20 min. For a laminar-flow tube with τ = 10 min, find the fraction younger than 10 min.
- (a) F(5) = 1 − exp(−5/10) = 1 − 0.607 = 0.393.
- (b) 1 − F(20) = exp(−20/10) = 0.135.
- Laminar: F(10) = 1 − τ²/(4t²) = 1 − 100/400 = 0.75.
CSTR: 39.3 % leaves within 5 min and 13.5 % stays longer than 20 min; laminar tube: 75 % leaves before t = τ.
Common mistakes
- Forgetting to normalise C(t) before calling it E, or normalising with ΣC instead of ΣC·Δt.
- Treating F as a probability density — F is cumulative and dimensionless; E has units of 1/time.
- Assuming t̄ always equals V/v: dead zones and open-vessel boundaries break this.
- Using unequal time intervals without weighting by Δt.
- Thinking a measured RTD fixes conversion for all kinetics — only for first order.
For GATE CH
Expect NAT questions on t̄ and σ² from tabulated pulse data, F or E values for an ideal CSTR or PFR (or combinations in series), the fraction of fluid in a given age band, dead-volume fraction from t̄ vs V/v, and interpreting curve shapes. Practise the discrete summations quickly and remember the exponential results for the CSTR.
Quick check
- What is the area under any E curve?
- For a CSTR with τ = 4 min, what is E at t = 0?
- A vessel with V/v = 10 min shows t̄ = 8 min. What fraction is dead?
- What is σθ² for an ideal CSTR and for a PFR?
Answers: 1. one; 2. 1/τ = 0.25 min⁻¹; 3. 0.2 (20 %); 4. 1 and 0.
Interview questions
All Chemical Reaction Engineering interview questionsTry answering each one aloud before you open it.
1.What is the residence time distribution (RTD) in chemical reaction engineering?Concept
Residence time distribution (RTD) is a probability distribution function that describes the amount of time a fluid element spends inside a reactor. It provides insights into the flow pattern and mixing characteristics of the reactor, which are crucial for understanding reactor performance.
2.Explain the significance of E and F curves in RTD analysis.Concept
The E curve, or exit age distribution function, represents the probability density function of the residence times of fluid elements exiting the reactor. The F curve, or cumulative distribution function, represents the fraction of fluid that has exited the reactor by a certain time. Together, these curves help in analyzing the flow patterns and diagnosing deviations from ideal reactor behavior.
3.How is the E curve experimentally determined?Concept
The E curve is determined by introducing a tracer into the reactor and measuring its concentration at the outlet over time. The concentration data is then normalized by the total amount of tracer introduced to obtain the E curve, which represents the probability density function of residence times.
4.Why is RTD analysis important in reactor design?Application
RTD analysis is important because it helps in understanding the flow patterns and mixing characteristics within a reactor. This information is crucial for predicting reactor performance, optimizing reactor design, and ensuring that the reactor operates efficiently and safely.
5.What happens if there is a significant deviation from ideal RTD in a reactor?Application
Significant deviations from ideal RTD can indicate issues such as channeling, dead zones, or bypassing in the reactor. These issues can lead to inefficient mixing, reduced reaction rates, and poor product quality. Identifying and correcting these deviations is essential for optimal reactor performance.
6.How can RTD be used to identify non-ideal flow patterns in a reactor?Application
By comparing the experimental RTD (E and F curves) with the ideal RTD for a given reactor type (e.g., plug flow or mixed flow), deviations can be identified. Non-ideal flow patterns such as channeling or dead zones will manifest as discrepancies in the shape of the RTD curves, indicating areas for potential improvement.
7.What is the relationship between the E curve and the mean residence time?Concept
The mean residence time (τ) is the first moment of the E curve and is calculated by integrating the product of time and the E curve over all time. It represents the average time a fluid element spends in the reactor and is a key parameter in reactor design and analysis.
8.Calculate the mean residence time for a reactor if the E curve is given by E(t) = 2e^(-2t) for t ≥ 0.Numerical
To calculate the mean residence time (τ), integrate the product of time (t) and the E curve (E(t)) over all time: τ = ∫(0 to ∞) t * 2e^(-2t) dt. Solving this integral gives τ = 0.5 seconds.
9.If a reactor has an ideal plug flow RTD, what would the E curve look like?Concept
For an ideal plug flow reactor, the E curve is a Dirac delta function centered at the mean residence time. This indicates that all fluid elements spend exactly the same amount of time in the reactor, with no dispersion or mixing.
10.A reactor has an F curve described by F(t) = 1 - e^(-3t). What is the mean residence time?Numerical
The mean residence time (τ) can be found by differentiating the F curve to get the E curve, E(t) = 3e^(-3t), and then integrating the product of time and E(t) over all time. Solving this gives τ = 1/3 seconds.
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