Packed-Bed Scrubber Sizing & Learning Tool

Interactive design tool · Wet packed-bed gas scrubbers

Packed-Bed Scrubber Sizing — and how the sizing actually works

This page does two things at once. It is a working preliminary sizing calculator for countercurrent wet packed-bed scrubbers — column diameter from hydraulics, packed height from mass transfer, liquid circulation, reagent consumption, pressure drop, power and operating cost. It is also a teaching page: every number it prints is produced by an equation that is displayed on the page, with your own numbers substituted into it, so you can follow the arithmetic from gas flow rate to final packed height without taking anything on trust.

If you have never sized a scrubber before, read the primer first, then move the inputs and watch what changes. The single most important thing to notice is this: gas flow sets the diameter, removal efficiency sets the height, and the two calculations barely speak to each other.

Orissa Engineering is an independent process engineering consultancy — process design, techno-economic evaluation and capital project execution for chemical plants.

Eckert GPDC floodingOnda 1968 kG, kL, awErgun + Billet & Schultes ΔPColburn / reactive NTUNukiyama–Tanasawa + Johnstone venturi±20–30% concept-screening accuracy
01 · Primer

How a scrubber works

What a scrubber is actually doing

A wet scrubber transfers a pollutant out of a gas stream and into a liquid. That is the whole job. The pollutant molecule has to travel from the bulk gas, through a thin stagnant gas film at the liquid surface, across the interface, through a thin liquid film, and into the bulk liquid — and it will only keep going if the liquid keeps its surface concentration low. Plain water does that by dilution, which runs out of steam quickly. A reagent does it by chemical reaction: caustic soda converts dissolved HCl into sodium chloride the instant it arrives, so the liquid surface is permanently hungry for more. That single difference is why a caustic scrubber is short and a water scrubber on the same duty is tall.

Two quantities decide the size of the vessel. How much gas you have to pass sets the cross-sectional area, because gas velocity through the packing cannot exceed the point at which upflowing gas stops the liquid from draining. How clean the outlet has to be sets the depth of packing, because each metre of packing removes a fixed fraction of what enters it, not a fixed amount. Confusing these two is the most common beginner error, and it is why a request like “make it 99.9% instead of 99% — can we just use a bigger column?” is the wrong question.

10.1  The four types you will meet

clean gas dirty gas SPRAY TOWER open vessel, nozzles liquor separator VENTURI throat 60–120 m/s PACKED BED high NTU, low ΔP TRAY TOWER stages, high ΔP
Figure 1 — The four wet-scrubbing workhorses, drawn to the same logic: gas up, liquid down, contact in between. Original line art.
Venturi scrubber tower of an industrial off-gas treatment system during erection
Photograph 1 — The venturi scrubber tower of an industrial off-gas treatment system, photographed during erection. This is the pre-stage the decision tree below sends you to when the gas carries solids or a fine mist: high-velocity throat first, packed bed afterwards. Photo: PEO Assembled Chemical Weapons Alternatives, Wikimedia Commons, CC BY 2.0.
TypeGas removalΔPParticulate tolerancePlugging riskRelative costTypical duty
Spray towerLow–moderate, 1–2 NTU10–40 mmWCGood (coarse)LowLowQuench, coarse dust, first-cut acid gas
VenturiLow for gas, 1 NTU at best150–1500 mmWCExcellent, sub-micronVery lowModerate (power)Fume, mist, sticky solids ahead of a packed bed
Packed bedHigh, 3–10+ NTU15–50 mmWC/mPoorHighLow–moderateSoluble / reactive gases to stack limits
Tray towerHigh, discrete stages40–80 mmWC/trayModerateModerateHighSlurry service, wide turndown, staged pH

10.2  Choosing between them

What is in the gas?start here, honestly Soluble / reactive gas onlysolids < 0.25 g/Nm³ Gas + fine particulated₅₀ < 2 µm or > 1 g/Nm³ Coarse particulate onlyd₅₀ > 10 µm Sparingly soluble gas,very high efficiencyCl₂, NOₓ, > 99.9% Packed bed, single columncheapest NTU per rupee — this tool sizes it Venturi pre-stage, then packed bednever put a packed bed first — it will plug Cyclone or spray towerdo not pay for packing you cannot keep clean Packed bed with chemical reagent,two stages, pH + ORP controlstage 1 bulk removal, stage 2 polishing on fresh liquor
Figure 2 — Selection logic. The tool below implements the first and second branches, including automatic sizing of the venturi pre-stage when the solids gate trips.

10.3  The anatomy of a packed column

Almost every packed scrubber that works, and every one that fails, can be explained by the eighteen items below. Note how much of the drawing is liquid handling: the column shell is the cheap part, and the sump, pump, distributor, bleed and pH loop are where the design is won or lost.

FI pH ORP PDT 123456789101112131415161718 gas up, liquid down:countercurrent contact Bed height is mass transfer. Diameter is hydraulics.
1 Clean gas outlet nozzle
2 Mist eliminator (demister pad)
3 Demister wash header
4 Liquid distributor (trough / orifice)
5 Hold-down grid / bed limiter
6 Packed bed — upper
7 Liquid redistributor
8 Packed bed — lower
9 Bed support plate (gas-injection type)
10 Dirty gas inlet nozzle, below the bed
11 Integral sump (hold-up 3–10 min)
12 Level gauge / transmitter
13 Recirculation pump
14 Recirculation line, valve, flow indicator
15 Reagent make-up, pH-controlled dosing
16 Water make-up
17 Bleed / purge to effluent treatment
18 ΔP transmitter across the bed, pH and ORP
Figure 3 — Packed scrubber with its liquid loop. Items 13–18 are the ones that get value-engineered out of a package and then cause the trouble. Original line art.
Industrial packed bed scrubber column installed in an operating plant, with shell manway, access ladders and control valve
Photograph 2 — The same anatomy in the field: an industrial packed-bed scrubber column in an operating off-gas treatment plant. The bolted manway on the shell is how the packing goes in and comes out, the caged ladder and platforms are how the distributor gets inspected, and the control valve in the foreground sits on the liquor line. Photo: PEO Assembled Chemical Weapons Alternatives, Wikimedia Commons, CC BY 2.0.

10.4  Two-film theory, in one picture

BULK GASgas filmliquid filmBULK LIQUID y (bulk gas mole fraction) x (bulk liquid mole fraction) yᵢxᵢ interface: yᵢ = m·xᵢ distance from bulk gas → gas-film resistance 1/kᵍ liquid-film resistance m/kₗ 1/kᵍm/kₗ1/Kᵍ
Figure 4 — Resistances in series. Total resistance 1/Kᵍ = 1/kᵍ + m/kₗ. Whichever term dominates is the one your design money should go to.

The pollutant is dragged across two films in series, and like resistors in series the larger one decides the current. For a very soluble or chemically consumed gas, m is effectively zero, the second term vanishes, and the whole design collapses to “how well is the gas film stirred?” — which means gas distribution and interfacial area. For a sparingly soluble gas, m is large, the liquid term dominates, and no amount of gas-side turbulence will save you: you need reagent, more liquid, or more stages.

10.5  Which film controls, and why it matters

HCl in caustic. The reaction is instantaneous and irreversible. Chloride ion cannot come back out. Equilibrium back-pressure is nil, liquid-film resistance is essentially eliminated, and the column is gas-film controlled. Consequence: a very short bed does the job, and the thing that will actually hurt you is maldistributed gas short-circuiting up the wall — not bed depth.

SO₂ in caustic. Mixed control. The reaction is fast but the sulphite/bisulphite equilibrium and pH both matter. Drop below about pH 9 and the liquid film starts to reappear; the same hardware quietly loses efficiency with no mechanical change at all.

Cl₂ in weak or depleted liquor. Henry constant around 590 — chlorine does not want to be in water. With strong caustic (or hypochlorite) the reaction hides that, but the moment free alkali is exhausted the liquid film dominates and outlet chlorine climbs immediately. This is why the same geometry gives 99.9% on HCl and struggles on Cl₂, and why “we have a scrubber” is not the same statement as “we can scrub that”.

10.6  NTU — the difficulty number

NTU (number of transfer units) is a property of the separation you are asking for, not of the equipment. It is the answer to “how many times over do I have to renew the driving force to get from inlet to outlet?”. For a reactive system it is simply ln(1/(1−η)), which is brutally logarithmic:

Required removal90%99%99.5%99.9%99.99%
NTU required2.34.65.36.99.2
Relative bed depth1.0×2.0×2.3×3.0×4.0×

Every additional nine costs you the same increment of packing as the first 90% did. That is the most useful single fact on this page: when a specification is tightened from 99% to 99.99% at no extra cost, someone is going to be disappointed.

10.7  HTU — the equipment quality number

HTU (height of a transfer unit, HOG here) is a property of the hardware and the operating point, not of the target. It is the depth of packing needed to accomplish one transfer unit. Better wetted area, higher gas-film coefficient, finer packing, a liquid rate that actually covers the packing — all reduce HTU. Typical HOG for random packing in gas absorption is 0.3–1.0 m; for fast reactive systems in fine packing it can fall below 0.3 m, which is why caustic scrubbers look suspiciously short to anyone used to distillation.

10.8  The whole design in one line

Z = HTU × NTU

NTU is what the regulator and the process ask of you. HTU is what your hardware can deliver. Multiply them and you have the packed height. Diameter never enters this equation — it came from the hydraulics, separately. If you remember nothing else from this page, remember that the two halves of a scrubber design are independent, and that a mistake in one cannot be fixed by the other.

10.9  Why more caustic does not always mean more removal

Raising NaOH strength feels like it must help — more reagent, more removal. It does not work that way. Concentrated caustic is viscous and has a higher surface tension, and both terms sit inside Onda’s wetted-area correlation. Higher σ against a plastic packing with a critical surface tension of only 0.033 N/m means the liquid beads instead of spreading, so the effective interfacial area aw falls; higher µL depresses the liquid-film coefficient kL. Meanwhile you generate more dissolved salt, more scaling and corrosion duty, and a larger effluent bill. The live sweep further down the page plots aw/at and HOG against caustic strength for your current design so you can see where the optimum sits.

10.10  Materials of construction

ServiceShell / internalsWatch out for
Wet Cl₂ / HClFRP (vinyl ester), PP, PVDF, rubber-lined carbon steelNever bare stainless — chloride pitting and SCC
SO₂ / SO₃ tracesFRP, PP, PVC below 60 °CAcid dew point in the ducting upstream
Caustic liquor, ambientCarbon steel with epoxy, FRP, PPCaustic stress corrosion above 50 °C in CS
Hot or abrasive gasCeramic packing, refractory-lined inletThermal shock on quench
Above 90 °CStainless with care, PVDF, FRP with high-temp resinPlastic packing creep and bed collapse

Note the connection back to mass transfer: polypropylene packing is chosen for chemical resistance and price, but its critical surface tension (0.033 N/m) is the lowest in the table in section 6.2, so it wets poorly. A ceramic or steel bed of identical geometry gives a noticeably higher aw/at and therefore a shorter column. Change the material selector in the calculator and watch HOG move — that path is live.

02 · The calculator

Preliminary sizing calculator

Everything recalculates as you type. Nothing is hidden: each result traces to an equation shown in the design walkthrough, and every constant is listed and editable in the assumptions panel.

Why the mode matters: with an irreversible reaction in the liquid film the equilibrium back-pressure is zero, so the operating line is horizontal and the column is short; with plain water the solute can come back out and the height can be several times larger for the same duty.

Species
Inlet basis
Inlet
Target basis
Target

Concentrations in mg/Nm³ are converted using the normal-condition flow computed from your actual flow, temperature and pressure. NTU is calculated for every active species and the column is designed on the worst one.

Shell IDmm
Of flooding%
ΔP per metremmWC
Packed heightm
Area wetted%
Operating cost₹/y
Pre-treatment gate — solids
Venturi pre-stage — preliminary sizingNukiyama–Tanasawa / Johnstone / Calvert
Per-pollutant duty and NTU
SpeciesIn kg/hOut kg/hyinyoutη %NTU
Operating cost
Line item₹/h₹/day₹/year

Need this validated for a live project? Preliminary numbers get you a budget; a design review gets you a scrubber that meets its guarantee.

Get a detailed design review →
02b · Datasheet

Design datasheet — every number the calculator produced

Six blocks, in the order the calculation runs. Blocks A and B fix the diameter from hydraulics; C and D fix the height from mass transfer; E and F follow from both. Nothing here is a lookup — every value comes from an equation shown in the walkthrough below, and all of it re-computes as you type.

A · Basis and stream properties
B · Hydraulics and column diameterEckert GPDC
Where this design sits on the hydraulic map pre-loadingloading 0.70–1.0flood u_flood
Design point on the flooding scale. Everything left of the amber line is pre-loading; between amber and red the bed starts holding liquid; past red it floods. Live from block B.
C · Mass transfer coefficientsOnda 1968
How much of the packing surface is actually working 0.40.7 a_w / a_t — Onda 1968
Below 0.4 most of the packing is dry and contributing nothing. Raise the liquid rate or pick a material with higher critical surface tension. Live from block C.
D · Transfer units and packed heightZ = H_OG × NTU
Height is a stack of transfer units H_OGone unit Z = H_OG × NTU× safety factor gas liquid
Each slice is one transfer unit, H_OG tall. Asking for another decimal place of removal adds slices, not diameter. Live from block D.
E · Liquid circulation, reagent and bleedthree flows
Three different liquid flows, three different reasons sump packed bed P recirculation10–30× make-up make-up + reagentfrom stoichiometry bleedholds TDS in check
Consumption is set by chemistry, recirculation by wetting, bleed by dissolved solids. Sizing the pump on the consumption figure is the classic error.
F · Pressure drop budget and powerfan + pump
03 · Hydraulics

The flooding and loading chart

Chart A — Pressure drop vs gas velocity

Three liquid loads: 0.5×, 1.0× and 2.0× your design irrigation rate. Notice that more liquid moves the flood point to the left — liquid and gas are competing for the same void. Shaded bands: pre-loading, loading (from 0.70 uflood) and flooding. The crosshair is your design point.

Chart B — Eckert generalised pressure-drop correlation

The flooding line is digitised from the published GPDC chart (table editable in the assumptions panel). Your design point sits below it; the vertical gap is your capacity margin, printed as % of flood.

What is actually happening in the bed

Liquid enters at the top and trickles down over the packing as a film, wetting whatever surface it can reach. Gas enters at the bottom and threads its way up through whatever void is left over. At low gas velocities the two phases barely notice each other. Pressure drop rises roughly with the square of velocity, exactly as it would in a dry packed bed, and the amount of liquid sitting in the bed at any instant — the holdup — depends only on the liquid rate. This is the pre-loading region, and it is where a well-designed absorber lives.

Push the gas rate up and the drag of the rising gas on the descending film stops being negligible. The film is slowed down, so more liquid has to be resident in the bed to pass the same flow — holdup increases. That liquid occupies void that the gas was using, so the gas has to squeeze through a smaller flow area, and pressure drop starts climbing faster than u². The kink where this begins is the loading point, conventionally taken here at 70% of the flooding velocity. There is a genuine irony in this region: mass transfer is often at its best just above loading, because the extra holdup means more interfacial area. Operating there deliberately is a specialist decision, not a default.

Keep pushing and the drag force on the liquid balances gravity. Liquid can no longer drain. It accumulates, the void fraction collapses, and the bed inverts from a gas-continuous system with liquid films to a liquid-continuous system with gas bubbles. Pressure drop goes near-vertical, liquor is carried out of the top of the column, and separation collapses. The critical operational point is this: a flooded scrubber does not degrade gracefully. It stops working, and it usually announces itself as liquid at the stack.

So why design at 60–70% of flood, when the chart says you could run at 90? Four reasons, all of them things that have happened on real plants. Turndown: the plant will run at 40% rate on a bad day and the distributor must still work. Upset flows: a relief case, a nitrogen purge left open, a batch that runs away, and suddenly the gas rate is 1.5× nameplate. Fouling: void fraction falls as solids and salts deposit, which raises the local velocity and lowers the flood point over the years. And the correlation itself: the GPDC flooding line carries roughly ±20% uncertainty, which means a paper design at 85% of flood can be a physical design at 105% of flood. Designing at 85% on paper is how columns come to flood the first week production exceeds nameplate.

The division of labour — read this twice

Diameter is set by hydraulics. It comes from gas mass flux, gas and liquid densities, liquid viscosity and the packing factor. It does not know or care how much pollutant you are removing. Height is set by mass transfer. It comes from HTU and NTU, that is, from wetted area, diffusivities, the reagent chemistry and the outlet specification. It does not know or care about pressure drop. Change the required efficiency and only the height should move. Change the gas flow and both move, because gas flow enters the hydraulics directly and the mass transfer coefficients through the gas mass flux. The moment this distinction lands, scrubber design stops feeling like magic and starts feeling like arithmetic.

Health check on your own design: 15–50 mmWC per metre of packing is the band a well-proportioned atmospheric absorber sits in. Below about 8 mmWC/m the column is oversized and you have paid capital for nothing; the gas is barely touching the packing. Above about 80 mmWC/m you are into the loading region with no upset margin. The datasheet prints a verdict on this automatically.

04 · Walkthrough

The design walkthrough, with your numbers

Every step below regenerates from the current inputs. Statement of intent, the equation, the substitution, the result, and what it means. If a number in the datasheet ever looks wrong, this is where you find out why.

05 · Original analysis

The caustic-strength optimum

aw/at and HOG vs NaOH strength

Swept at your current gas flow, column area and packing. Liquid density, viscosity and surface tension are interpolated from the property table in section 6.3 and extrapolated to 40 wt%. Reagent chemistry is assumed fast in all cases, so this isolates the hydrodynamic penalty of strong caustic.

Reading the curve

Wetted area falls monotonically as caustic strength rises, because both viscosity and surface tension work against spreading on a low-energy plastic surface. HOG therefore rises, and the column needs to be taller to do the same job. Against that, stronger liquor means a smaller circulating volume for the same reagent duty and a smaller effluent volume.

The practical conclusion from the source work: 10–20 wt% NaOH is usually the sweet spot for a recirculating scrubber. Below that you are pumping mostly water and the sump concentration swings with every batch; above it you are paying reagent to make mass transfer worse, then paying again to dispose of the salt. If you need the removal, buy it with bed height or a second stage — not with concentration.

Caveat worth stating plainly: this sweep captures the hydrodynamic effect only. It does not model reaction kinetics, so it cannot show the (real) benefit of high alkalinity when the reaction is not fast, nor the buffering advantage in a plant with violently variable load. It is a design insight, not a law.

06 · Validation

Worked validation example — sulphur monochloride plant

The methodology on this page was developed against a real design case: the tail-gas scrubber for a 5 TPD sulphur monochloride (S₂Cl₂) plant, in which molten sulphur is chlorinated and the vent carries SO₂, HCl and unreacted Cl₂. The packed column is the second stage, downstream of a wet venturi. Press the button in the calculator to load every input from this case, then compare against the reported values.

Case definition

DutySecond-stage packed column, downstream of wet venturi
Design caseExtreme / failure case, not normal operation
Gas to column603.33 Am³/h, 35 °C, 0.5 kg/cm²g (≈1.484 atm)
SO₂ inlet100.40 kg/h (y = 0.141)
HCl inlet229.03 kg/h (y = 0.565)
Cl₂ inlet232.00 kg/h (y = 0.294)
Normal case12.52 Am³/h; SO₂ 1.87, HCl 4.27, Cl₂ 2.54 kg/h
Stack targetsCl₂ 0.50, HCl 1.00, SO₂ 0.50, PM 2.5 kg/h
MediumNaOH 20 wt%, 50% excess
Packing1 in polypropylene Pall rings
Column ID700 mm (A = 0.3848 m²)

Calculated vs reported

ParameterReportThis pageVariance
Press “Load validation case” in the calculator to populate this comparison.

Why we publish the variance instead of hiding it

The source report used a liquid viscosity of 2×10⁻⁶ Pa·s for 20 wt% NaOH and the same figure for the gas. Both are one order or more out: 20 wt% caustic at 35 °C is about 2×10⁻³ Pa·s, and a typical process gas is about 1.8×10⁻⁵ Pa·s. This page uses the corrected values, which changes ReL and WeL in Onda’s wetted-area term and therefore changes aw, kL and HOG. So the HTU printed here will not exactly reproduce the reported 0.241 m, and it should not. Constants have not been tuned to force a match. A stated 10–30% variance with a physical explanation is a more useful engineering document than a suspiciously exact reproduction — and reconciling that variance is exactly the work a design review consists of.

The other reconciliation worth understanding: the report’s 3.83 m³/h is the reagent solution consumption derived from stoichiometry. It is not the pump duty. A real scrubber recirculates roughly 10–30 times that from the sump with a continuous bleed. The calculator prints both numbers separately, because one drives operating cost and the other drives the pump and the distributor.

07 · Transparency

Assumptions, correlations and limits

Correlations used, with sources and validity ranges
PurposeCorrelationSourceValidity / caveat
Flooding capacityGeneralised pressure-drop correlation, K₄ formEckert; Sherwood–Leva; presented in Coulson & Richardson Vol. 6 (Sinnott)Random packing, countercurrent, non-foaming. Flooding line read from a digitised chart — ±20% at best.
Flood ΔP cross-checkΔPflood = 0.115 Fp0.7Kister & GillFp in ft⁻¹, result inch H₂O per ft. Valid Fp < ~60 ft⁻¹.
Dry bed ΔPErgun equationErgun (1952)Written for beds of solid particles. For hollow rings and saddles it needs an equivalent diameter, and the answer is sensitive to which one you choose: the nominal size (used here, as tabulated in the packing database) under-predicts, while the surface-equivalent 6(1−ε)/at over-predicts. Both are printed. Vendor pressure-drop curves normally fall between them — use them for fan sizing.
Operating holduphL = (12 µL uL at² / ρL g)1/3Billet & Schultes, laminar film formPre-loading region only. Ignores the gas-rate dependence of holdup above loading.
Irrigated ΔPVoid-reduction factor (ε/(ε−hL))³Standard practicePre-loading only.
Loading-to-flood escalation[1 − (u/uflood)⁴]−0.5Interpolation for illustration — not a rigorous correlationUsed only to give Chart A a physically sensible shape between loading and flooding. Do not quote it.
NTU, reactiveNOG = ln(1/(1−η))Limiting case of the Colburn equation as m → 0Requires fast, irreversible reaction and adequate free reagent at the interface.
NTU, physicalColburn equationColburn (1939)Dilute systems, straight equilibrium line, isothermal.
Wetted area, kG, kLOnda et al. correlationsOnda, Takeuchi & Okumoto (1968)Random packing 4–50 mm, ReL 0.04–500. Predicts aw to about ±20%; sensitive to σ and σc.
Gas diffusivity correctionDG ∝ T1.75/PFuller et al.Referenced to 25 °C, 1 atm.
Liquid diffusivity correctionDL ∝ T/µLStokes–EinsteinReferenced to 25 °C in water.
Droplet size (venturi)Nukiyama–TanasawaNukiyama & Tanasawa (1938)Air–water fitted; CGS units internally.
Venturi efficiencyJohnstone, η = 1 − exp(−k R √Ψ)Johnstone et al.k is empirical, 0.1–0.2. Single droplet size, no size distribution.
Venturi ΔPΔP = 1.03×10⁻³ uth² RCalvertuth in cm/s, R in L/m³, result cm H₂O.
Digitised GPDC flooding line — editable, recalculates live

Digitised from the generalised pressure-drop correlation (Eckert / Sherwood–Leva, as presented in Coulson & Richardson Vol. 6). Verify against your own copy of the chart before using for detailed design. Interpolation between points is linear in log–log space. Edit the JSON and press Apply; everything on the page recomputes.

Editable constants block

Every non-input constant the engine uses. Edit and apply — results, charts and walkthrough all follow.

Random packing database

Rows marked extended are typical vendor values added so the tool is useful beyond the source case; they are not from the source report. Always replace with the vendor’s own Fp and at for a real enquiry — packing factors vary by 20% between makers for nominally identical shapes. Unit reconciliation: the tabulated packing factors (57.5 for a 1 in Pall ring, 150 for a 1 in Raschig ring) are labelled m−1 in the source but match published ft−1 values almost exactly. Used as m−1 in Sinnott’s K₄ equation they over-predict the flooding velocity by roughly 80% and produce absurdly small columns. This page therefore reads the tabulated column as ft−1 and multiplies by 3.281 to obtain the value used in the correlation; both are shown above, and the Fp field in panel 5 is editable so you can reproduce either interpretation.

Scrubbing medium properties and packing material σc

Deliberate correction to the source data. The source report used µL = 2×10⁻⁶ Pa·s for 20 wt% NaOH and µG = 2×10⁻⁶ Pa·s for the gas. Both look like unit slips of one order or more: 20 wt% NaOH at 35 °C is ≈2×10⁻³ Pa·s and a typical process gas is ≈1.8×10⁻⁵ Pa·s. The corrected values are used as defaults here because liquid viscosity enters Onda’s wetted-area and kL terms and gas viscosity enters both the Ergun equation and kG — a factor of 1000 in µL is not a rounding difference.

Reagent stoichiometry and transport properties

CO₂ is included as a parasitic consumer. Any caustic scrubber handling an air-diluted stream absorbs CO₂ continuously, which consumes reagent and drives up dissolved carbonate whether you want it or not. The tool warns about it; it does not model the rate.

What this tool does not do

No rigorous vapour–liquid equilibrium. No rate-based or stage-based simulation. No temperature profile along the column and no heat of absorption — strongly exothermic duties (concentrated HCl, SO₃) will run hotter than assumed and lose capacity. No multicomponent interaction between solutes. No CO₂ absorption from air. No foaming or fouling factors. No structured packing. No mechanical design: shell thickness, nozzle sizing, distributor orifice layout, support-plate selection, demister selection and hold-down design are all out of scope. No materials selection. No reaction kinetics, so systems with genuinely slow reactions (NO, chelated NOx, organic odours) will be optimistic.

Validity envelope: atmospheric to 3 bar(a); 5–80 °C; dilute systems below roughly 10 mol% solute; random packing only; countercurrent only; single liquid feed point per bed; non-foaming liquor.

08 · Field notes

Ten ways scrubber designs go wrong

1. Sizing the diameter on removal efficiency.symptom: column is either flooding or barely wetted

Efficiency has nothing to do with diameter. Diameter comes from gas mass flux against the flooding limit. If someone widened the column to get more removal, they have made the gas velocity lower, the wetting worse and the removal worse.

2. Designing only for the steady state.symptom: liquor at the stack during the first upset

Vent scrubbers spend their lives on transients: batch charging, reactor runaway, relief, purge. Size on the credible worst case and check the steady case for turndown, not the other way round. The validation case on this page is deliberately an extreme case for exactly this reason.

3. Forgetting that CO₂ eats caustic.symptom: reagent consumption double the calculation

Any air-diluted stream carries 400+ ppm CO₂, and caustic absorbs it happily and irreversibly into carbonate. On a large dilute stream this parasitic duty can exceed the duty you designed for. Either accept the cost, switch to a milder reagent such as sodium carbonate or bicarbonate, or control pH lower.

4. Liquid rate below the packing’s minimum wetting rate.symptom: efficiency collapses with nothing visibly wrong

Below MWR the film breaks into rivulets. Dry patches carry gas straight through, and the bed keeps looking perfectly healthy from outside — same ΔP, same level, same pump amps. This tool refuses to let the design go below MWR and warns loudly.

5. Confusing reagent make-up with pump recirculation.symptom: pump one-tenth of the size it should be

Stoichiometry tells you how much reagent is consumed. Hydraulics tells you how much liquid must be pumped over the bed to wet it. These differ by an order of magnitude. Both are printed separately in the datasheet above.

6. No redistributor on a tall bed.symptom: efficiency below prediction from day one

Liquid migrates to the wall in about 10 column diameters of packing. After that the centre of the bed is dry and the gas knows it. Split the bed and redistribute; the tool flags the split when Z/D exceeds 10.

7. Undersized demister.symptom: stack emission is your own liquor

Entrained droplets carry dissolved salt at sump concentration. A stack test then reports an emission you never generated in the gas phase. Check the demister velocity against its own flooding limit, and provide a wash header.

8. No ΔP transmitter across the bed.symptom: the bed is 40% plugged before anyone knows

It is the cheapest instrument on the package and the only one that tells you the bed is fouling. Trend it. A slow rise in ΔP at constant gas rate is your maintenance warning; a sudden fall usually means the bed has channelled or the support plate has failed.

9. Designing at 85% of flood because the correlation allowed it.symptom: flooding the week after commissioning

The correlation has ±20% uncertainty and the plant has more than that in flow variability. 85% on paper is 100%+ in the field. Keep it at 60–70% and spend the extra 100 mm of diameter.

10. A packed bed on a particulate-laden stream, with no pre-scrubber.symptom: bed plugged solid in weeks

Packing is a filter if you let it be one. Solids, sublimed product, polymer, sulphur mist — all of it lodges in the bed, and no amount of wash-down recovers a channelled bed. Venturi or spray quench first, always.

09 · Nomenclature

Glossary and nomenclature

SymbolUnitMeaning
AColumn cross-sectional area (also absorption factor Lm/mGm in the Colburn equation)
atm²/m³Total specific surface area of the packing
awm²/m³Wetted (effective interfacial) area — the area that actually does mass transfer
CTkmol/m³Total molar concentration of the liquid
DmColumn internal diameter
dpmEquivalent packing diameter (nominal size)
ddµmSauter mean droplet diameter in the venturi throat
DG, DLm²/sDiffusivity of the solute in gas and in liquid
FLVFlow parameter, (Lw/Vw)√(ρGL)
Fpm⁻¹Packing factor — the empirical resistance of the packing to flow
G, Lkg/m²·sGas and liquid mass flux
Gm, Lmkmol/m²·sGas and liquid molar flux
hLm³/m³Operating liquid holdup
HG, HLmHeight of a gas-film / liquid-film transfer unit
HOGmHeight of an overall gas-phase transfer unit (HTU)
HETPmHeight equivalent to a theoretical plate
K₄Eckert capacity function in Sinnott’s form
kGkmol/m²·s·kPaGas-film mass transfer coefficient
kLm/sLiquid-film mass transfer coefficient
mEquilibrium (Henry) slope y*/x. Zero in reactive mode
MWRm³/m²·hMinimum wetting rate of the packing
NOG, NTUNumber of overall gas-phase transfer units
QG, QLm³/hGas and liquid volumetric flow
ReL, FrL, WeLLiquid Reynolds, Froude and Weber numbers in the Onda correlation
usm/sSuperficial gas velocity (volumetric flow / empty column area)
uthm/sVenturi throat velocity
Vw*kg/m²·sGas mass flux at flooding (Eckert)
y, xSolute mole fraction in gas and liquid
ZmPacked height
εPacking void fraction
ηFractional removal efficiency
µG, µLPa·sGas and liquid dynamic viscosity
ρG, ρLkg/m³Gas and liquid density
σN/mLiquid surface tension
σcN/mCritical surface tension of the packing material
ΨInertial impaction parameter (venturi)
νimol/molStoichiometric reagent requirement per mole of pollutant

Words you will hear on site

Loading point. The gas velocity at which liquid holdup starts to rise with gas rate. Pressure drop steepens here.

Flooding. The gas velocity at which liquid can no longer drain. The bed fills and the column stops separating.

Turndown. The ratio of maximum to minimum flow over which the column still works. Usually limited at the bottom by the distributor and the minimum wetting rate, not by the packing.

Channelling. Gas or liquid finding a preferred path, usually the wall. The enemy of every packed bed.

Bleed / purge. Continuous removal of liquor to stop dissolved salts accumulating. Its rate sets your effluent bill.

ORP. Oxidation–reduction potential. On hypochlorite scrubbers it is the measurement that tells you whether oxidant is present, which pH alone cannot.

MWR. Minimum wetting rate. Below it the packing film breaks up and efficiency falls off a cliff.

Irrigation density. Liquid flow per unit column area, m³/m²·h. The number to quote when comparing two designs.

Disclaimer. This tool provides preliminary sizing for concept screening and budgetary estimation only. Results are based on published correlations with typical accuracies of ±20–30% and must not be used as the basis for equipment procurement, statutory emission compliance, or detailed engineering. Final design requires rigorous simulation, vendor-specific packing data, verified physical properties, and a HAZOP review. Orissa Engineering accepts no liability for use of these outputs.

Methodology derived from M.Tech project work on reactive scrubber design, Dr. Babasaheb Ambedkar Technological University, Lonere. Correlations attributed to their original authors in the assumptions panel. All diagrams are original line art prepared for this page.

Orissa Engineering — independent process design, techno-economic evaluation and capital project execution for chemical plants. info@orissaengineering.com