Venturi Scrubber Design Calculation Xls Upd Exclusive May 2026

Venturi Scrubber Design Calculation — XLS Upgrade (Overview & Guide)

This document describes the objectives, inputs, methods, and worksheet structure for an upgraded Excel (XLS) tool to perform Venturi scrubber design calculations. It’s written to be directly usable as documentation and as a blueprint for implementing or updating an Excel workbook with calculation sheets, input validation, and reporting output.

Key goals

• Provide a single-sheet or multi-sheet Excel workbook that calculates key Venturi scrubber hydraulics and gas–liquid collection performance.
• Make the tool user-friendly: clear inputs, units, validation, and summary outputs.
• Support typical design modes: fixed throat geometry (given throat area/diameter), target pressure drop, or required collection efficiency.
• Produce tabulated results, graphs (e.g., pressure drop vs. liquid flow, droplet size distribution estimates), and a printable summary.

1. Background (brief)

• A Venturi scrubber uses a constricted throat to accelerate gas through a liquid film or sprayed liquid, creating high relative velocities and turbulence that promote mass and momentum transfer, achieving particulate and gaseous pollutant removal.
• Design requires balancing gas velocity, throat geometry, liquid-to-gas ratio (L/G), and pressure drop.

2. Design approaches supported

• Given gas flow and throat geometry → compute pressure drop, liquid flow for target L/G, and estimate collection efficiency.
• Given gas flow and desired pressure drop → compute throat area/velocity, determine L/G and liquid injection requirements.
• Given required particulate collection efficiency → iterate on throat velocity and L/G using empirical collection models.

3. Required inputs (grouped and with typical units)

• Process conditions:
  • Gas volumetric flow (standard conditions), Qg_std [m3/h or m3/s]
  • Gas temperature T [°C] and pressure P [kPa or atm] (optional, for density correction)
  • Gas molecular weight or density at operating conditions, rho_g [kg/m3] (or auto-calc from T,P)
  • Gas viscosity mu_g [Pa·s] (or use default ~1.8e-5 Pa·s for air at 20°C)
• Particulate properties (for efficiency estimates):
  • Particle density rho_p [kg/m3]
  • Particle diameter or distribution dp [µm]
  • Particle concentration (mass or number) optional
• Scrubber geometry and mechanical:
  • Throat diameter D_t or throat area A_t [m or m2] (one required)
  • Inlet and outlet diameters (for pressure recovery calcs) optional
  • Throat length L_t [m] (affects residence and droplet formation)
• Liquid properties and injection:
  • Liquid flowrate Ql [m3/h or L/min]
  • Liquid density rho_l [kg/m3]
  • Liquid viscosity mu_l [Pa·s] (for droplet formation estimates)
  • Nozzle count, nozzle type, nozzle flow coefficient (for spray pressure calc)
• Design targets and constants:
  • Target pressure drop DeltaP_target [Pa] (if designing for pressure drop)
  • Target L/G ratio (by mass or by volumetric basis)
  • Desired collection efficiency vs particle size (optional)
  • Safety factors and margin on DeltaP (e.g., 10–20%)

4. Core calculations and formulas (to implement in XLS)

• Correct gas volumetric flow to throat (actual conditions)
  • Qg_throat = Qg_std * (T_std/T_op) * (P_op/P_std) if converting standard → operating (choose consistent convention)
• Throat area ↔ velocity
  • A_t = pi * D_t^2 / 4
  • V_t = Qg_throat / A_t (m/s)
  • A note: ensure units consistent (m3/s for Qg)
• Gas density at operating conditions
  • Use ideal gas approximation if needed: rho_g = P/(R_specific * T) (R_specific = R_universal / M_g)
• Dynamic pressure and momentum flux
  • q = 0.5 * rho_g * V_t^2
• Pressure drop estimation (empirical)
  • DeltaP ≈ K * 0.5 * rho_g * V_t^2 where K is loss coefficient (typical 1.5–3 for Venturi depending on configuration)
  • Alternatively, use Henry/Turpin empirical correlations or manufacturer correlations; allow user to set K.
• Liquid injection and L/G:
  • Convert liquid flow to kg/s: m_dot_l = Ql * rho_l
  • Convert gas to kg/s: m_dot_g = Qg_throat * rho_g
  • L/G (mass basis) = m_dot_l / m_dot_g
• Estimate droplet size (Sauter mean diameter, D32) from nozzle and shear
  • Use empirical relation: D32 ≈ C * (sigma / (rho_l * V_rel^2))^0.6 or typical nozzle empirical data; provide default estimate or user-entered D32
  • Or use Nukiyama–Tanasawa correlations if available — document as optional advanced calc
• Collection efficiency models (simple, per-particle size)
  • Inertial impaction (Stokes number):
    • Stk = (rho_p * dp^2 * V_t) / (18 * mu_g * D_t) (check units)
    • Single-droplet capture efficiency via empirical functions: eta_impaction = f(Stk, droplet size ratio); implement simple curve such as eta = 1 - exp(-a * Stk^b) with defaults
  • Droplet interception and Brownian diffusion (for fine particles) — include diffusion efficiency approx:
    • eta_diff ≈ 2.7 * (D_p * L_t / (V_t * D_t))^0.5 (provide reference/disclaimer)
  • Combined efficiency:
    • eta_total = 1 - (1 - eta_impaction) * (1 - eta_diff) * (1 - eta_interception)
  • Provide option for user to input measured efficiency curve instead of modeled.
• Pressure drop vs throat velocity iteration
  • For design by DeltaP: iterate V_t so that DeltaP(V_t) = DeltaP_target, solving for A_t or D_t.
  • For design by efficiency: iterate V_t and L/G to meet eta_total target for a given particle size distribution.
• Spray nozzle pressure requirement
  • For each nozzle: Q_nozzle = Ql / N_nozzles
  • Required nozzle pressure: use manufacturer Q-P relation: Q = C_d * A_nozzle * sqrt(2 * DeltaP_nozzle / rho_l)
  • Solve for DeltaP_nozzle; include head loss allowances.
• Hydraulic checks
  • Check throat liquid loading (fraction of throat area covered by liquid film or droplet packing)
  • Check flooding risk via superficial liquid velocity and throat geometry; warn if L/G beyond recommended range.
• Mechanical and fabrication outputs
  • Throat diameter, inlet and outlet diameters (if scaling), throat length, recommended nozzle size and count, expected pressure drop, liquid flow, and estimated collection efficiency by size bin.

5. Workbook structure (recommended sheets)

• Inputs (sheet): All user inputs, units selector, built-in unit conversion, validation, and explanatory notes.
• Calc_GasHydraulics (sheet): Gas correction, throat velocity, area calculations, density/viscosity lookups.
• Calc_PressureDrop (sheet): Pressure drop correlations, iteration solver for DeltaP-target or A_t-target; K factor selection.
• Calc_LiquidSpray (sheet): Liquid flow rate, L/G calculation, nozzle sizing and required spray pressure, D32 estimate.
• Calc_Efficiency (sheet): Particle-size bin table (user-defined bins), computed Stk, eta_impaction, eta_diff, eta_total per bin, overall mass-weighted efficiency.
• Results_Summary (sheet): Key outputs and recommended design: D_t, A_t, V_t, DeltaP, Ql, L/G, estimated overall efficiency, nozzle sizing, remarks/warnings.
• Graphs (sheet): Plots auto-updated — DeltaP vs V_t, Efficiency vs particle size, L/G vs DeltaP, droplet size distribution.
• References & Notes (sheet): List empirical correlations used, assumptions, units, safety factors, and recommended literature/manufacturer contacts.

6. Excel implementation details (formulas, named ranges, validation)

• Use named ranges for key inputs (Qg_std, T_op, P_op, D_t, Ql, rho_g, etc.) for readability.
• Input validation: data validation rules and conditional formatting for out-of-range inputs.
• Unit handling: either provide separate unit dropdowns and conversion factors OR require SI units with clear labels.
• Iteration/solver:
  • Use Excel's GOAL SEEK or iterative formulas (enable iterative calc) for solving V_t ↔ DeltaP if automatic solve is desired.
  • Alternatively, implement manual iteration with a few tabulated V_t steps and interpolation.
• Use Excel tables for particle-size bins to allow dynamic resizing and formula auto-fill.
• Protect calculation cells, leave input cells unlocked; include comments explaining each input.

7. Example calculation (concise)

• Include one worked example in the workbook: e.g., Qg = 50,000 m3/h (dry air, 20°C), target DeltaP = 3,000 Pa, L/G = 0.5 kg/m3 (or mass basis), nozzle count = 4 — show computed D_t, V_t, DeltaP check, Ql, estimated capture efficiency for 1, 2.5, 10 µm particles.

8. Sensitivity & uncertainty

• Provide a small table or chart showing sensitivity of performance to ±20% changes in L/G, DeltaP, and throat diameter.
• Flag parameters with high sensitivity and recommend conservative choices.

9. User interface & UX suggestions

• Clear primary input panel on the Inputs sheet; group inputs by color.
• Use one-click “Run calculations” button that triggers a macro (optional) to perform iterative solves and refresh graphs; ensure macros are clearly documented and optional.
• Include printable summary and export to PDF functionality.
• Provide a “Design notes” text field for designer comments.

10. Limitations and disclaimers

• Empirical models can vary with geometry and operating conditions; use results for preliminary design and select vendor-supplied curves or pilot testing for final design.
• Encourage verification of nozzle spray characteristics and droplet size data from manufacturers.

11. Suggested formulas & Excel snippets (sample cells)

• V_t:
  • = Qg_m3s / A_t
• A_t:
  • = PI() * D_t^2 / 4
• DeltaP (basic):
  • = K * 0.5 * rho_g * V_t^2
• L/G (mass):
  • = (Ql_m3s * rho_l) / (Qg_m3s * rho_g)
• Stokes number (example):
  • = (rho_p * (dp_m)^2 * V_t) / (18 * mu_g * D_t)
• Combined efficiency per size bin (example):
  • =1 - (1 - eta_impaction) * (1 - eta_diffusion)

12. Deliverables checklist for the updated XLS

• Inputs sheet with validation and unit guidance
• Calculation sheets (gas hydraulics, pressure drop, liquid spray, efficiency)
• Summary output and printable report
• Example case included
• Graphs and sensitivity analysis
• Optional macro for automated solving (well documented)
• Cell-level comments and references for correlations used

13. Short developer notes (for implementer)

• Keep formulas transparent—avoid hidden constants unless in a reference table.
• Allow users to override empirical coefficients (K, D32 constants, impaction curve coefficients).
• Use dynamic named ranges and Excel tables for particle bins and nozzle lists.
• Ensure consistent unit system across workbook; prefer SI (m, s, Pa, kg/m3).
• Validate results with manufacturer data and pilot testing.

14. References & further reading (brief)

• Cite common texts (not included here) such as mass transfer and particulate control textbooks, manufacturer engineering manuals, and peer-reviewed papers on Venturi scrubber performance.

If you want, I can:

• produce a ready-to-download Excel workbook implementing the above (requires confirmation of preferred units and one example case), or
• create a compact printable one-page design worksheet template with formulas filled in.

Which option do you want?

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7. Example Screenshot Structure (Text Representation)

| VENTURI SCRUBBER DESIGN SHEET (v4.2 - 2026)          |
|------------------------------------------------------|
| INPUT                                                |
| Gas flow (acfm): 25000                               |
| Throat vel (ft/s): 200                               |
| L/G (gal/1000acf): 8                                 |
| Part. size (µm): 2.5                                 |
|                                                      |
| OUTPUT                                               |
| Pressure drop (in H2O): 45.2                         |
| Efficiency (%): 98.3                                 |
| Throat dia (in): 18.2                                |
| Water flow (gpm): 200                                |
| Power (hp): 42.5                                     |