Article, 2023

Development and calibration of a model for packed bed marine scrubbers aboard ocean-going vessels

Chemical Engineering Research and Design, ISSN 1744-3563, 0263-8762, Volume 191, Pages 50-65, 10.1016/j.cherd.2022.12.028

Contributors

Poulsen, Mathias 0000-0002-4686-9292 (Corresponding author) [1] Ström, Henrik 0000-0002-8581-5174 [2] Sasic, Srdjan 0000-0001-6383-4772 [2] Sørensen, Kim [1] Condra, Thomas Joseph [1]

Affiliations

  1. [1] Aalborg University
  2. [NORA names: AAU Aalborg University; University; Denmark; Europe, EU; Nordic; OECD];
  3. [2] Chalmers University of Technology
  4. [NORA names: Sweden; Europe, EU; Nordic; OECD]

Abstract

Scrubbers have gained importance in the maritime sector following recent tightening of the emission legislation regarding sulphur. In this work, a model framework based on an Eulerian-Eulerian multiphase model for a packed bed marine scrubber has been developed. The framework account for both dispersed droplets and a packed bed, where sub-models for interfacial forces and heat- and mass transfer are applied for the respective regions. Additionally, a chemistry model and boundary conditions for the nozzles injecting seawater into the scrubber are also implemented. The model framework is calibrated using data from an ocean-going vessel, where the model predictions were within 3% of the measured pressure loss while the discrepancy in the gas and liquid temperatures were between 0.5% and 3.5%. The sulphur concentration predicted by the model varies between − 24% and 25%. However, the concentrations were within 5 ppm of the measured values for all but a single data set.

Keywords

Eulerian-Eulerian multiphase model, bed, boundary conditions, calibration, chemistry, chemistry model, concentration, conditions, data, development, discrepancy, dispersed droplets, droplets, emission, emission legislation, force, framework, gas, heat, interfacial forces, legislation, liquid temperature, loss, marine scrubber, maritime sector, mass transfer, measured pressure loss, measured values, model, model predictions, modeling framework, multiphase model, nozzle, ocean-going vessels, packed bed, prediction, pressure loss, region, scrubber, seawater, sector, sub-models, sulfur, sulfur concentration, temperature, tightening, transfer, values, vessels

Funders

  • Innovation Fund Denmark

Data Provider: Digital Science