Reference ID: MET-829A | Process Engineering Reference Sheets Calculation Guide
Introduction & Context
Residence Time Distribution (RTD) quantifies how long different fluid elements remain inside a continuous-flow vessel. The cumulative RTD function, F(t), gives the fraction of fluid that has spent ≤ t minutes in the system. Knowing F(t) is essential for predicting conversion, selectivity, and product quality in tubular reactors, heat-exchangers, and plug-flow devices. For strictly laminar pipe flow, the analytical RTD model allows rapid assessment of under-processing risk without full CFD.
Methodology & Formulas
Geometric and operating parameters
Internal tube volume: \[ V = \frac{\pi}{4}\,D_{\text{i}}^{2}\,L \]
Mean residence time: \[ t_{\text{m}} = \frac{V}{Q} \]
where Q is volumetric flow rate in consistent units.
Laminar RTD model
Probability density function:
\[ E(t) = \begin{cases}
0 & t < \dfrac{t_{\text{m}}}{2} \\[8pt]
\dfrac{t_{\text{m}}}{2\,t^{2}} & t \ge \dfrac{t_{\text{m}}}{2}
\end{cases} \]
Cumulative distribution:
\[ F(t) = \int_{0}^{t} E(\tau)\,\text{d}\tau \]
Under-processed fraction (material remaining longer than target time ttarget):
\[ \text{Under-processed} = 1 - F(t_{\text{target}}) \]
Numerical integration
A trapezoidal rule with uniform step Δt is sufficient for smooth E(t):
\[ F(t) \approx \sum_{i=1}^{N} \frac{E(t_{i-1}) + E(t_{i})}{2}\,\Delta t \]
where N = ttarget/Δt.
The F(t) function is the cumulative residence-time distribution: it tells you the fraction of fluid elements that have spent less than or equal to time t inside the vessel. Its differential counterpart, E(t), is the exit-age density, so the two are linked by:
\[ F(t) = \int_{0}^{t} E(\theta)\, d\theta. \]
In plain language, F(t) answers “how much has already left?” whereas E(t) answers “what is the flow-rate of fluid leaving right now that has age t?”
Inject a step change of an inert tracer at the inlet (concentration jumps from 0 to C0 at t = 0).
Record the tracer concentration C(t) at the outlet.
Normalize: F(t) = C(t)/C0 once the signal stabilizes.
Correct for probe delay and dispersion if the sampling line is long.
Tracer is adsorbing on vessel walls or packing—use a non-adsorbing species or pre-coat surfaces.
Dead zones or internal recirculation keep some tracer indefinitely—redesign internals or add baffles.
Baseline drift in the analyzer—re-zero the instrument and check calibration standards.
Yes. The mean residence time τ is the first moment of E(t), but it can also be obtained from F(t) via:
\[ \tau = \int_{0}^{\infty} (1 - F(t))\, dt. \]
Graphically, this is the area above the F(t) curve and below 1.0; no differentiation is required, so noisy data are handled more robustly.
Measure or model F(t) for the pilot-scale reactor at the target throughput.
Feed F(t) into a segregated-flow or dispersion conversion equation that contains your kinetic rate law.
Iterate on volume V until predicted conversion ≥ required conversion; scale-up geometrically and recheck F(t) to ensure hydrodynamic similarity.
Worked Example – RTD F(t) for a Laminar-Flow Tubular Reactor
A specialty-chemical plant feeds a heat-sensitive resin through a 12 m long, 20 mm I.D. stainless-steel coil kept at 140 °C. The mean residence time must be checked to ensure at least 80 % of the fluid has remained in the coil for 15 min or longer. Determine the cumulative RTD function F(t) at 15 min.
For laminar pipe flow, the RTD is:
\[ E(t) = \frac{t_{m}^{2}}{2t^{3}} \quad \text{for} \quad t \ge \frac{t_{m}}{2} \]
Integrate E(t) numerically from 0 to 15 min with Δt = 1 s to obtain the cumulative distribution:
\[ F(t) = \int_{0}^{t} E(t')\, dt' \]
At t = 15 min, the integration gives:
\[ F(15\ \text{min}) = 0.802 \]
Under-processed fraction (still in reactor after 15 min):
\[ 1 - F(t) = 0.198\ (19.8\%) \]
Final Answer
At 15 min, the cumulative residence-time distribution is F(t) = 0.802 (dimensionless). Thus, 80 % of the resin has exited the coil within 15 min, meeting the plant specification.
"Un projet n'est jamais trop grand s'il est bien conçu."— André Citroën
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