Open Access

Modelling and Optimisation of Vacuum Collection System for Cruise Ship Kitchen Garbage


Cite

1. Chen J., et al. (2015): Erosion prediction of liquid-particle two-phase flow in pipeline elbows via CFD-DEM coupling method. Powder Technology, 275, 182-187.10.1016/j.powtec.2014.12.057Search in Google Scholar

2. Du, J.,Bansal, P.,Huang, B. (2012): Simulation model of a greenhouse with a heat-pipe heating system. Applied Energy, 93(C), 268-276.10.1016/j.apenergy.2011.12.069Search in Google Scholar

3. Du J., Cai Z.,Zhang Y. (2018): Simulation and experimental study of SCR injection system. Polish Maritime Research Special Issue 2018 S2(98) 2018 Vol. 25, 49-55.Search in Google Scholar

4. Du J., Li R., Wu X., Zhang Y. (2018): Study on optimization simulation of SCR denitration system for marine diesel engine. Polish Maritime Research Special Issue 2018 S3(99) 2018 Vol. 25, 13-21.Search in Google Scholar

5. Du, J., Li, R., Wang, H., Wu, X. (2019): Environmental Study on Supercritical CO2 Extraction of Nanocrystalline. Ekoloji, 107(28), 3169-3175.Search in Google Scholar

6. Fernández C.,Manyà F.,Mateu C., et al. (2014): Modeling energy consumption in automated vacuum waste collection systems. Environmental Modelling & Software, 56, 63-73.10.1016/j.envsoft.2013.11.013Search in Google Scholar

7. Fernández C., Manyà F., Mateu C., Sole-Mauri F. (2015): Approximate dynamic programming for automated vacuum waste collection systems. Environmental Modelling & Software, 67, 128-137.10.1016/j.envsoft.2015.01.013Search in Google Scholar

8. Fisher C., Meech R. (2013): Bunkers: An analysis of the technical and environmental issues. Petrospot Limited, UK.Search in Google Scholar

9. Huang S., et al. (2015): Transient numerical simulation for solid-liquid flow in a centrifugal pump by DEM-CFD coupling. Engineering Applications of Computational Fluid Mechanics, 9(1), 411-418.10.1080/19942060.2015.1048619Search in Google Scholar

10. Hong S., Shanshan G., Xiaohui Q, (2018): Thermodynamics analysis of a stratospheric airship with hovering capability. Applied Thermal Engineering, 146, 600-657.Search in Google Scholar

11. Jajcevic D., et al. (2013): Large-scale CFD–DEM simulations of fluidized granular systems. Chemical Engineering Science, 98(29), 298-310.10.1016/j.ces.2013.05.014Search in Google Scholar

12. Konstandopoulos A. G., Zarvalis D., Chasapidis L., et al. (2017): Investigation of SCR Catalysts for Marine Diesel Applications. SAE Int. J. Engines, 10(4) 16530-1666.10.4271/2017-01-0947Search in Google Scholar

13. Levy A. (2010): Modeling of heat transfer in pneumatic conveyer using a combined DEM-CFD numerical code. Drying Technology, 28(2), 155-164.Search in Google Scholar

14. Mohseni M., Peters B. (2016): Effects of particle size distribution on drying characteristics in a drum by XDEM: A case study. Chemical Engineering Science, 152, 689-698.10.1016/j.ces.2016.07.004Search in Google Scholar

15. Marigo M., Stitt E. H. (2015): Discrete Element Method (DEM) for Industrial Applications: Comments on Calibration and Validation for the Modelling of Cylindrical Pellets. Kona, 32, 236-252.10.14356/kona.2015016Search in Google Scholar

16. Patil A. V., et al. (2015): Comparison of CFD–DEM heat transfer simulations with infrared/visual measurements. Chemical Engineering Journal, 277, 388-401.10.1016/j.cej.2015.04.131Search in Google Scholar

17. Pan D., Gu C., Zhang D., et al. (2019): Investigation on the relationship between slurry droplet entrainment and fine particle emission in the limestone-gypsum WFGD system. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects (5):1-14.Search in Google Scholar

18. Scherer V., et al. (2016): Coupled DEM–CFD simulation of drying wood chips in a rotary drum–Baffle design and model reduction. Fuel, 184, 896-904.10.1016/j.fuel.2016.05.054Search in Google Scholar

19. Wang J.,Chia A., Meng H., et al. (2010): Control of Diesel Engine Urea Selective Catalytic Reduction Systems. Etd. ohiolink.edu, 2010.Search in Google Scholar

20. Zhong W., et al. (2016): DEM/CFD-DEM modelling of non-spherical particulate systems: Theoretical developments and applications. Powder Technology, 302, 108-152.10.1016/j.powtec.2016.07.010Search in Google Scholar

eISSN:
2083-7429
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Engineering, Introductions and Overviews, other, Geosciences, Atmospheric Science and Climatology, Life Sciences