1001Ferramentas
🧪 Calculators

Overall Plate Efficiency (O'Connell Correlation)

Estimates the overall plate efficiency of a distillation column by the O'Connell correlation, the step that converts theoretical stages into actual trays in preliminary design. The correlation uses a single combined variable, the product of liquid viscosity and mean relative volatility, and reads efficiency = 0.492 × (viscosity × relative volatility) raised to −0.245, with viscosity in centipoise. What governs it is the product μ·α: a low-viscosity liquid with relative volatility near 1 lands in the 70 to 80% band, and efficiency falls to 40% or less once the liquid is viscous or the relative volatility is high. Note that a difficult separation, with α close to 1, gives the highest efficiency per tray — that column is tall because of the theoretical stage count, not the efficiency, which there actually dampens the height. The analytical fit 0.492 × (μ·α)^−0.245 was adopted, the usual form for hand calculation; the Kessler and Wankat polynomial on the logarithm of the product differs by a few percentage points at the ends of the range. Enter the liquid viscosity at the mean column temperature and the mean relative volatility.

Result

O'Connell: turning theoretical stages into real trays

McCabe-Thiele or a rigorous simulation hands over equilibrium stages, yet no real column has a tray that reaches equilibrium. Cost estimates and preliminary sizing need theoretical stages turned into physical trays, because trays set shell height, vessel weight and a good share of the budget. The O'Connell correlation is the accepted shortcut for that step: one line, two system properties, no tray geometry whatsoever. Miss it by ten percentage points and column height shifts by several metres.

The correlation runs on a single combined variable, liquid viscosity times mean relative volatility: E = 0.492 × (μ·α)^−0.245, with μ in centipoise and the result as a percentage. At the on-screen defaults, μ = 0.25 cP and α = 2.4, the product is 0.6 and efficiency comes out at 55.76%. Light hydrocarbon systems with easy splits sit between 60 and 80%; viscous liquids or tight splits drop to 40% or below. The analytical fit of Seader and Henley was adopted, the form used in hand calculation; the Lockett fit and the Kessler and Wankat polynomial on the logarithm of the product diverge by a few points at the ends of the range.

The correlation grew out of data from commercial hydrocarbon columns and a handful of aqueous systems, and it carries scatter of roughly ten percentage points about the curve. Outside that neighbourhood it stops working: absorbers have their own O'Connell correlation built on a different group, and packing has no trays to be efficient with. Geometry is absent by construction — tray spacing, weir height, hole area fraction and liquid load never appear, though every one of them moves real efficiency. Viscosity must be in centipoise at the mean column temperature: typing 0.00025 while thinking in Pa·s returns 302.9%, an impossible figure the calculator accepts without protest.

Frequently asked questions

What do I do with the default 55.76%?
Divide the theoretical stage count by the efficiency. A column that simulation solved in 12 equilibrium stages, leaving out the reboiler, which counts as a stage of its own, needs 12 ÷ 0.5576 = 21.5 real trays, rounded up to 22. At the usual 0.6 metre tray spacing that means about 13 metres of trayed section, before bottom sump, top disengagement and skirt. Right there in the concept estimate, the cost gap between 55% and 70% efficiency becomes obvious.
Why is a relative volatility of 1 rejected?
Because α = 1 means both components share the same volatility and no distillation will separate them: theoretical stage count runs to infinity and tray efficiency stops meaning anything. That is why the tool demands α greater than 1. In practice, systems below α = 1.1 already point towards extractive or azeotropic distillation, and O'Connell hands back a high efficiency there — physically reasonable, since a tray facing a small driving force gets closer to equilibrium, yet no comfort against the enormous stage count such a split requires.
Should viscosity be in cP or in Pa·s?
Centipoise, and the gap is a factor of a thousand. Water at 20 °C is 1.0 cP, or 0.001 Pa·s; the default 0.25 cP suits a light hydrocarbon at the mean temperature of a hot column. Type 0.00025 into the field and the answer is 302.9%, impossible on its face and useful as a warning: overall efficiency above 100% turns up only in rare cases, with a strong concentration gradient along the tray, which this correlation never attempts to describe. Use liquid phase viscosity at the mean of top and bottom temperature, never the vapour.

Related Tools

🔬

Minimum Reflux (Underwood)

Estimate the minimum reflux ratio of a binary distillation by Underwood's equation (saturated-liquid feed), Rmin = [xD/xF − α·(1−xD)/(1−xF)]/(α − 1), from the relative volatility (α) and the light-component mole fractions in the distillate (xD) and feed (xF). At minimum reflux, the column would need infinite plates; the operating reflux is a multiple of it (1.1–1.5×). It is a key number in column design. Enter α, xD and xF.

🗼

Actual Plates (Efficiency)

Compute the number of actual plates of a distillation column, N_actual = N_theoretical / (efficiency/100), from the number of theoretical (equilibrium) plates and the column's overall efficiency (%). Since no real plate reaches perfect equilibrium, more actual plates than theoretical are needed: a 50% efficiency doubles the plate count. It is the step that turns the theoretical design into the physical column. Enter the theoretical plates and the overall efficiency.

⚗️

Number of Stages by the Gilliland Correlation

Estimates the number of theoretical stages of a distillation column with the Gilliland correlation, which links excess reflux to excess stages: with X = (R − R_min)/(R + 1) and Y = (N − N_min)/(N + 1), you get N = (Y + N_min)/(1 − Y). It is the third step of the FUG shortcut method, after N_min from the Fenske equation and R_min from Underwood, and it settles in one line the preliminary sizing that would otherwise need a McCabe-Thiele diagram or a simulator. Eduljee's analytical fit is adopted, Y = 0.75·(1 − X^0.5668), the usual form for hand calculation; the Molokanov correlation is more accurate at the extremes and gives a result a few percent different. Enter the operating reflux ratio, the minimum reflux ratio and the minimum number of stages.

🔄

Optimum Reflux Ratio

Compute a distillation column's operating reflux ratio, R = factor · Rmin, multiplying the minimum reflux by a factor (typically 1.1 to 1.5). There is a classic economic trade-off: a low reflux (near minimum) requires many plates (more column investment); a high reflux requires fewer plates but much more energy in the reboiler and condenser (more operating cost). The optimum balances the two. Enter the minimum reflux and the factor.

📊

Chemical Reaction Yield

Compute a chemical reaction's yield, Y = (actual mass obtained / theoretical mass)·100%, comparing what was actually produced with the maximum predicted by stoichiometry. Real reactions rarely reach 100%: there are incomplete reactions, side reactions, purification losses. Yield is the efficiency indicator that separates paper chemistry from lab and industrial chemistry. Enter the actual mass obtained and the theoretical mass.

🏭

Number of Transfer Units (NTU)

Compute the number of transfer units (NTU) of an absorption or stripping column (dilute case), NTU = ln(C_in/C_out), from the inlet and outlet concentrations. NTU measures the 'difficulty' of the separation: the greater the removal desired, the more transfer units are needed. Together with the height of a unit (HTU), it defines the total packing height. Enter the inlet and outlet concentrations.

The results provided by this tool are for general informational and educational purposes only and do not constitute professional, financial, medical, legal, tax or accounting advice. Always confirm important decisions with a qualified professional and official sources.