Numerical optimization of drying energy consumption from multiple jets impinging on a moving curved surface

authored by: Ali Chitsazan, Georg Klepp, Birgit Glasmacher, Kamyar Mohammad Pour
Abstract: Due to the increasing energy cost, the efficiency of the industrial dryer as the energy-intensive processes should be improved. The designer should optimize the design parameters of industrial drying equipment to achieve the minimum drying energy consumption. SST k-ω turbulence model is used to simulate a real geometry for industrial drying applications. For the optimization of the impinging round jet, the specific drying energy consumption is set as the objective function to be minimized. The jet to surface distance, jet to jet spacing, jet inlet velocity, jet angle, and surface velocity are chosen as the design parameters. The SHERPA search algorithm is used to search for the optimal point from the weighted sum of all objectives method. One correlation is developed and validated for the specific drying energy consumption. It is found that the SST k-ω turbulence model succeeded with reasonable accuracy in reproducing the experimental results. The minimum specific energy consumption correlates with high values of the jet to jet spacing, jet angle, and surface velocity and low values of the nozzle to surface distance and jet inlet velocity. The agreement in the prediction of the specific drying energy consumption between the numerical simulation and correlation is found to be reasonable and all the data points deviate from the correlation by less than 7%.
Organisation(s): Institute of Multiphase Processes
External Organisation(s): Ostwestfalen-Lippe University of Applied Sciences
Otto-von-Guericke University Magdeburg
Type: Article
Journal: International Journal of Heat and Technology
Volume: 39
Pages: 755-762
No. of pages: 8
ISSN: 0392-8764
Publication date: 30.06.2021
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: Condensed Matter Physics, Mechanical Engineering, Fluid Flow and Transfer Processes
Sustainable Development Goals: SDG 7 - Affordable and Clean Energy
Electronic version(s): https://doi.org/10.18280/ijht.390309 (Access: Open)