Inputs
Example data table
Sample case for an instrument air drying skid in a plant utility room.
| Input / Output | Example value | Units |
|---|---|---|
| Gas flow | 1000 | m³/h |
| Inlet moisture | 12 | g/m³ |
| Outlet target | 1 | g/m³ |
| Cycle time | 8 | h |
| Working capacity | 0.16 | kg/kg |
| Regeneration effectiveness | 0.90 | - |
| Safety factor | 1.20 | - |
| Bulk density | 700 | kg/m³ |
| Design superficial velocity | 0.20 | m/s |
| Typical computed per-bed mass | ~458 | kg |
| Typical computed bed height | ~0.52 | m |
Values are illustrative; always validate with supplier performance curves.
Formula used
1) Moisture removed per volume (converted if needed):
- ΔC = Cin − Cout (g/m³)
- If using ppmv: C (g/m³) = ppmv × 10−6 × (P/(R·T)) × MW × 1000
2) Water load rate and cycle load:
- ṁw = Q × ΔC / 1000 (kg/h)
- mw,cycle = ṁw × tcycle (kg)
3) Required adsorbent mass (preliminary):
- Capacityeff = Capacity × ηregen (kg/kg)
- Msieve = (mw,cycle / Capacityeff) × SF (kg)
4) Bed volume and geometry:
- Vbed = (Msieve / Nbeds) / ρbulk (m³)
- A = (Q/3600) / vsup (m²)
- D = √(4A/π) (m)
- H = (Vbed × (1 + Freeboard%)) / A (m)
5) Pressure drop (packed-bed approximation):
- ΔP = [150(1−ε)²/ε³]·(μ·H·v/dp²) + [1.75(1−ε)/ε³]·(ρ·H·v²/dp)
Professional article
Molecular sieve dryers are widely used when a project needs very low moisture levels for instrument air, nitrogen, and natural gas services. In construction, these vessels often sit inside packaged utility skids, compressor rooms, or tie‑in areas where reliability and predictable performance matter. A practical sizing method starts by translating the moisture reduction target into an actual water load. Once the water load is known, the required adsorbent mass and bed geometry can be estimated, refined, and reviewed against vendor limits.
This calculator follows a preliminary workflow that is useful during early design and procurement. First, it converts inlet and outlet moisture to a consistent basis. If you enter ppmv, it applies an ideal‑gas conversion using your operating pressure and temperature. Next, it computes moisture removed per cubic meter (ΔC) and multiplies by the operating flow to estimate water removed per hour. The cycle time sets how much water must be captured before a bed is regenerated or switched, producing a per‑cycle water load.
To translate water load into sieve mass, the calculator uses working capacity (kg water per kg sieve) and adjusts it by a regeneration effectiveness factor. This captures the reality that beds rarely return to a perfectly “new” condition after each regeneration. A safety factor then accounts for uncertainties such as seasonal humidity swings, oil or dust fouling, maldistribution, and future throughput increases. With the total mass per bed, bulk density converts mass to bed volume.
Geometry is sized from a chosen superficial velocity. Lower velocities generally reduce pressure loss and improve mass transfer, but they increase vessel diameter and cost. Bed height is obtained from bed volume and cross‑sectional area, including a freeboard allowance for distributors, screens, and settling. Finally, the packed‑bed pressure drop is estimated using an Ergun‑style equation, giving a screening value for blower or compressor margin and helping flag excessive pellet fineness.
Example sizing case
Use these example inputs to reproduce the sample results:
- Flow: 1000 m³/h, moisture: 12 → 1 g/m³, cycle: 8 h
- Working capacity: 0.16 kg/kg, regeneration effectiveness: 0.90, safety factor: 1.20
- Bulk density: 700 kg/m³, superficial velocity: 0.20 m/s, freeboard: 10%
Example case: Flow 1000 m³/h, inlet 12 g/m³, outlet 1 g/m³, cycle 8 h, working capacity 0.16 kg/kg, regeneration effectiveness 0.90, safety factor 1.20, bulk density 700 kg/m³, and superficial velocity 0.20 m/s. The model yields about 458 kg sieve per bed, bed volume near 0.65 m³, a vessel ID around 1.33 m, bed height near 0.52 m including freeboard, and a modest pressure‑drop estimate depending on pellet and gas properties. Always confirm final sizing with vendor isotherms, breakthrough curves, and applicable codes before purchase and installation.
FAQs
1) What does “working capacity” represent?
It is the usable water pickup per kilogram of sieve during a cycle. Use supplier data at your operating conditions, because capacity varies with temperature, pressure, and target dryness.
2) Why include regeneration effectiveness?
Beds rarely regenerate perfectly each cycle. This factor reduces the nominal capacity to reflect incomplete desorption, aging, heat limits, and real field operation.
3) When should I use ppmv instead of g/m³?
Use ppmv when analyzers or specifications are in volumetric terms. The calculator converts ppmv to g/m³ using your pressure and temperature for consistent mass loading.
4) How do I pick a superficial velocity?
Start with conservative values to limit pressure drop and channeling. Then check vendor recommendations for your pellet size, gas type, and required dew point.
5) Is the pressure drop result final for equipment selection?
No. It is a screening estimate based on packed‑bed correlations. Confirm with detailed vessel internals, distributor losses, and supplier performance data.
6) Do I size per bed or for the whole system?
This tool reports total required sieve and per‑bed mass for preliminary layout. Final systems often use one bed drying while the other regenerates, so verify duty allocation.
7) What inputs most strongly affect adsorbent mass?
Moisture reduction (ΔC), flow rate, and cycle time drive water per cycle. Working capacity, regeneration effectiveness, and safety factor then scale the final sieve mass.
How to use this calculator
- Enter the operating flow rate in m³/h.
- Select your moisture basis and provide inlet and outlet values.
- Set cycle time, number of beds, and working capacity.
- Adjust regeneration effectiveness and safety factor as needed.
- Choose bulk density and a practical superficial velocity target.
- Review diameter, height, and pressure drop for feasibility.
- Export CSV or PDF for quick documentation and review.
Accurate sizing improves drying, reliability, and operating costs significantly.